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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [Water, carbon and permafrost dynamics in boreal Alaska](/catalog/item/5a26bb53e4b03852baf7ef3e)
3. [Water quality data for Beaver Creek above Victoria Creek and West Twin Creek, Alaska, 2009-2017](/catalog/folder/5aa96acee4b0b1c392f16c22)
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## Dates
Publication Date2019-01-31Start Date2009-09-03End Date2017-09-11
## Citation
Dornblaser, M.M., 2019, Water quality data for Beaver Creek above Victoria Creek and West Twin Creek, Alaska, 2009-2017: U.S. Geological Survey data release, https://doi.org/10.5066/F7X63M7S.
## Summary
This dataset includes discrete water quality data and sensor data from 2009-2017 for Beaver Creek above Victoria Creek and West Twin Creek in Alaska.
## Summary
This dataset includes discrete water quality data and sensor data from 2009-2017 for Beaver Creek above Victoria Creek and West Twin Creek in Alaska.
## Contacts
Point of Contact
:
[Mark M Dornblaser](/catalog/catalogParty/show?partyId=2643)
Originator
:
[Mark M Dornblaser](/catalog/catalogParty/show?partyId=2643)
Metadata Contact
:
[Mark M Dornblaser](/catalog/catalogParty/show?partyId=2643)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
:
[Office of the Associate Director for Water](/catalog/catalogParty/show?partyId=17006)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5aa96acee4b0b1c392f16c22?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5aa96acee4b0b1c392f16c22?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5aa96acee4b0b1c392f16c22?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
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| | | | |
| --- | --- | --- | --- |
| Beaver Creek and West Twin Creek metadata.xml<br>_Original FGDC Metadata_ | View | 30.81 KB | application/fgdc+xml |
| DSC00576b.jpg<br>“West Twin Creek” |  | 213.16 KB | image/jpeg |
| DSC00594b.jpg<br>“Beaver Creek above Victoria Creek” |  | 218.16 KB | image/jpeg |
| Beaver Cr and West Twin Cr discrete QW data, 2009-2017.csv | | 6.86 KB | text/csv |
| Beaver Creek 2011, Sensor data for data release.csv | | 128.94 KB | text/csv |
| Beaver Creek and West Twin Creek, 2011, Lab\_FDOM and UV254, for Data Release.csv | | 582 Bytes | text/csv |
| West Twin Creek 2011, Sensor data for data release.csv | | 119.78 KB | text/csv |
## Purpose
The data were collected to examine carbon cycling in subarctic rivers.
## Preview Image

West Twin Creek
## [Map](/catalog/item/imap/5aa96acee4b0b1c392f16c22)
[](/catalog/item/imap/5aa96acee4b0b1c392f16c22)
## Communities
- USGS Data Release Products
- Water, carbon and permafrost dynamics in boreal Alaska
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [dissolved inorganic carbon](/catalog/items?q=&filter=tags%3Ddissolved+inorganic+carbon "dissolved inorganic carbon (dissolved inorganic carbon, Theme, USGS)")
- [dissolved organic carbon](/catalog/items?q=&filter=tags%3Ddissolved+organic+carbon "dissolved organic carbon (dissolved organic carbon, Theme, USGS)")
- [environment](/catalog/items?q=&filter=tags%3Denvironment "environment (environment, Theme, ISO 19115 Topic Category)")
- [inland aquatic ecosystems](/catalog/items?q=&filter=tags%3Dinland+aquatic+ecosystems "inland aquatic ecosystems (inland aquatic ecosystems, Theme, USGS)")
- [water quality](/catalog/items?q=&filter=tags%3Dwater+quality "water quality (water quality, Theme, USGS)")
Place
- [Alaska](/catalog/items?q=&filter=tags%3DAlaska "Alaska (Alaska, Place, Common geographic areas)")
- [Alaska](/catalog/items?q=&filter=tags%3DAlaska "Alaska (Alaska, Place, None)")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7X63M7S |
| USGS\_ScienceCenter | https://www.sciencebase.gov/vocab/category/item/identifier | National Research Program |
| USGS\_MissionArea | https://www.sciencebase.gov/vocab/category/item/identifier | Water |
| USGS\_keywords | https://www.sciencebase.gov/vocab/category/item/identifier | Hydrogeology,Water Quality |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Mark M. Dornblaser</origin>\n <pubdate>20190131</pubdate>\n <title>Water quality data for Beaver Creek above Victoria Creek and West Twin Creek, Alaska, 2009-2017</title>\n <geoform>spreadsheet</geoform>\n <onlink>https://doi.org/10.5066/F7X63M7S</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This dataset includes discrete water quality data and sensor data from 2009-2017 for Beaver Creek above Victoria Creek and West Twin Creek in Alaska.</abstract>\n <purpose>The data were collected to examine carbon cycling in subarctic rivers.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20090903</begdate>\n <enddate>20170911</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-149.5129</westbc>\n <eastbc>-144.5746</eastbc>\n <northbc>66.1894</northbc>\n <southbc>64.8839</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>environment</themekey>\n </theme>\n <theme>\n <themekt>USGS</themekt>\n <themekey>inland aquatic ecosystems</themekey>\n <themekey>water quality</themekey>\n <themekey>dissolved organic carbon</themekey>\n <themekey>dissolved inorganic carbon</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5aa96acee4b0b1c392f16c22</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Alaska</placekey>\n </place>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>Alaska</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Mark Dornblaser</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Chemist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Ste E127</address>\n <city>Boulder</city>\n <state>CO</state>\n <postal>80303</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>303-541-3015</cntvoice>\n <cntfax>303-541-3084</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Accuracy of the data is confirmed using detection limits, limits of quantification, standard or internal reference samples, blanks and replication.</attraccr>\n </attracc>\n <logic>Data were checked for consistency and fall within expected ranges based on temporal and spatial variations.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract.\nUsers are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>Positional accuracy was determined using GPS.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>Positional accuracy was determined using GPS.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>The steps used to generate the dataset are as follows: \n\n1) Field observations were made at sampling locations and surface water was collected for subsequent laboratory analysis; 2) Sensor data were collected hourly at both sites, 3) Water samples were filtered through a pre-rinsed 0.45-micron pore size GWV filter on-site or on the same day as collection; 4) Samples for 13C-DIC analysis were acidified with 50% phosphoric acid for preservation; 5) Laboratory analyses were performed at the U.S. Geological Survey in Boulder, CO (unless stated otherwise in the attribute metadata), using appropriate quality assurance and quality control procedures (for laboratory analyses, generally quality assurance and quality control procedures involve analyzing samples together with standard reference materials to ensure accuracy and analyzing replicates to quantify precision); 6) Raw field and laboratory results were combined into tables; 7) Unit conversion and other calculations were performed using Excel; 8) Exported data were checked for completeness and consistency ; 9) Data were subjected to U.S. Geological Survey review and placed on the U.S. Geological Survey ScienceBase web page for public access (https://www.sciencebase.gov/catalog/). Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.</procdesc>\n <procdate>20180801</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Beaver Cr and West Twin Cr discrete QW data, 2009-2017.xlsx (Sheet1)</enttypl>\n <enttypd>Excel Worksheet</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Site</attrlabl>\n <attrdef>Site Name</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Beaver Creek above Victoria Creek</edomv>\n <edomvd>Site name</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>West Twin Creek</edomv>\n <edomvd>Site name</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Latitude_dd</attrlabl>\n <attrdef>Latitude of sample collection</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>65.341545</rdommin>\n <rdommax>65.8055555556</rdommax>\n <attrunit>decimal degrees</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Longitude_dd</attrlabl>\n <attrdef>Longitude of sample collection</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>146.648611111</rdommin>\n <rdommax>146.914246</rdommax>\n <attrunit>decimal degrees</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SiteDate</attrlabl>\n <attrdef>Date of sample collection</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Date of sample collection</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SiteTime</attrlabl>\n <attrdef>Time of sample collection</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Time of sample collection</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SC_\xc2\xb5S_cm-1</attrlabl>\n <attrdef>Specific conductivity at the time of sampling, unfiltered. Field observations with YSI EXO2 handheld multi-parameter probe. See: Crawford, J. T., Loken, L.C., Stanley, E.H., Stets, E.G., Dornblaser, M.M., and Striegl, R.G., 2016, Basin scale controls on CO2 and CH4 emissions from the Upper Mississippi River. Geophysical Research Letters, v. 43, p. 1\xe2\x80\x937, available online at doi:10.1002/2015GL067599</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>15.0</rdommin>\n <rdommax>425.0</rdommax>\n <attrunit>microSiemens per centimeter (uS cm-1)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DOC_mg_L-1</attrlabl>\n <attrdef>Dissolved organic carbon (DOC) concentration, milligrams of carbon per liter. Field collection and laboratory analysis with OI700 total carbon analyzer. See: Aiken, G.R., 1992, Chloride interference in the analysis of dissolved organic carbon by the wet\noxidation method. Environmental Science and Technology, v. 26(12), p. 2435-2439, available online at doi: 10.1021/es00036a015</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>1.9</rdommin>\n <rdommax>28.6</rdommax>\n <attrunit>milligrams per liter (mg L-1)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DIC_\xc2\xb5moles_L-1</attrlabl>\n <attrdef>Dissolved inorganic carbon (DIC) concentration. \nField collection and laboratory analysis with Licor 6252 carbon dioxide analyzer. For\nmethodological details, see: Striegl, R.G., Kortelainen, P., Chanton, J.P., Wickland, K.P., \nBugna, G.C., and Rantakari, M., 2001, Carbon dioxide partial pressure and 13C content of\nnorth temperate and boreal lakes at spring ice melt: Limnology and Oceanography, v. 46(4), p. 941-945.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>160.0</rdommin>\n <rdommax>3719.0</rdommax>\n <attrunit>micromoles per liter (umoles L-1)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>\xce\xb413C_DIC_\xe2\x80\xb0</attrlabl>\n <attrdef>Ratio of carbon-13 to carbon-12 isotopes in dissolved inorganic carbon, in delta notation,\nsee: Clark, I. D., and Fritz, P., 1997, Environmental isotopes in hydrogeology, 328 pp.,\nCRC Press/Lewis Publishers, Boca Raton, FL. Field collection and laboratory analysis with ThermoFinnigan DeltaPlus Advantage Stable Isotope Mass Spectrometer. For methodological details, see: Striegl, R.G., Kortelainen, P., Chanton, J.P., Wickland, K.P., Bugna, G.C., and Rantakari, M., 2001, Carbon dioxide partial pressure and 13C content of north temperate and boreal lakes at spring ice melt: Limnology and Oceanography, v. 46(4), p. 941-945.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-14.19</rdommin>\n <rdommax>-7.34</rdommax>\n <attrunit>per mil</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Beaver Creek 2011, Sensor data for data release.xlsx (Sheet1)</enttypl>\n <enttypd>Excel Worksheet</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Date_Time</attrlabl>\n <attrdef>Date and time of sample collection</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Date and time of samples collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FDOM_ppb QSE</attrlabl>\n <attrdef>Fluorescent dissolved organic matter concentration (FDOM) in ppb of Quinine Sulfate equivalent\n(QSE)) at the time of sampling, unfiltered. Field observations with YSI EXO2 handheld multi-parameter probe and YSI EXO fluorescent\ndissolved organic matter sensor (purchased prior to June 2017). See: Crawford, J. T., Loken, L.C., Stanley, E.H., Stets, E.G., Dornblaser, M.M., and Striegl, R.G., 2016, Basin scale controls on CO2 and CH4 emissions from the Upper Mississippi River: Geophysical Research Letters, v. 43, p. 1\xe2\x80\x937, available online at doi:10.1002/2015GL067599</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>3.92118</rdommin>\n <rdommax>115.6921</rdommax>\n <attrunit>ppb of QSE (quinine sulfate equivalents)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WaterTemp_C</attrlabl>\n <attrdef>Surface water temperature at the time of sampling, in degrees Celsius. Field observations with YSI EXO2 handheld multi-parameter probe. See: Crawford, J. T., Loken, L.C., Stanley, E.H., Stets, E.G., Dornblaser, M.M., and Striegl, R.G., 2016, Basin scale controls on CO2 and CH4 emissions from the Upper Mississippi River: Geophysical Research Letters, v. 43, p. 1\xe2\x80\x937, available online at doi:10.1002/2015GL067599</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>2.84</rdommin>\n <rdommax>17.9</rdommax>\n <attrunit>degrees Celcius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SC_uS_cm-1</attrlabl>\n <attrdef>Specific conductivity at the time of sampling, unfiltered. Field observations with YSI EXO2 handheld multi-parameter probe. See: Crawford, J. T., Loken, L.C., Stanley, E.H., Stets, E.G., Dornblaser, M.M., and Striegl, R.G., 2016, Basin scale controls on CO2 and CH4 emissions from the Upper Mississippi River: Geophysical Research Letters, v. 43, p. 1\xe2\x80\x937, available online at doi:10.1002/2015GL067599</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>54.399375975</rdommin>\n <rdommax>182.631825273</rdommax>\n <attrunit>microSiemens per centimeter (uS cm-1)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DO_mg_L-1</attrlabl>\n <attrdef>Dissolved oxygen concentration at the time of sampling, in milligrams per liter. Field observations with YSI EXO2 handheld multi-parameter probe. See: Crawford, J. T., Loken, L.C., Stanley, E.H., Stets, E.G., Dornblaser, M.M., and Striegl, R.G., 2016, Basin scale controls on CO2 and CH4 emissions from the Upper Mississippi River: Geophysical Research Letters, v. 43, p. 1\xe2\x80\x937, available online at doi:10.1002/2015GL067599</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>8.55917316693</rdommin>\n <rdommax>14.1918158996</rdommax>\n <attrunit>milligrams per liter (mg L-1)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pH</attrlabl>\n <attrdef>Measure of the relative acidity or alkalinity of water, the -log10 of the hydrogen ion\nconcentration in moles/liter, unfiltered. Field observations with YSI EXO2 handheld multi-parameter probe. See: Crawford, J. T., Loken, L.C., Stanley, E.H., Stets, E.G., Dornblaser, M.M., and Striegl, R.G., 2016, Basin scale controls on CO2 and CH4 emissions from the Upper Mississippi River: Geophysical Research Letters, v. 43, p. 1\xe2\x80\x937, available online at doi:10.1002/2015GL067599</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>6.59760249092</rdommin>\n <rdommax>7.7</rdommax>\n <attrunit>pH units</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Beaver Creek and West Twin Creek, 2011, Lab_FDOM and UV254, for Data Release.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Site</attrlabl>\n <attrdef>Site Name</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>West Twin Creek</edomv>\n <edomvd>Site Name</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Beaver Creek above Victoria Creek</edomv>\n <edomvd>Site Name</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Date_Time</attrlabl>\n <attrdef>Date and time of sample collection</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>5/20/2011 16:00</edomv>\n <edomvd>Date and time of sample collection</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>6/1/2011 11:00</edomv>\n <edomvd>Date and time of sample collection</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>6/16/2011 10:15</edomv>\n <edomvd>Date and time of sample collection</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>7/15/2011 10:30</edomv>\n <edomvd>Date and time of sample collection</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8/17/2011 10:45</edomv>\n <edomvd>Date and time of sample collection</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>5/16/2011 13:00</edomv>\n <edomvd>Date and time of sample collection</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>6/24/2011 10:30</edomv>\n <edomvd>Date and time of sample collection</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8/4/2011 14:30</edomv>\n <edomvd>Date and time of sample collection</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>9/23/2011 10:30</edomv>\n <edomvd>Date and time of sample collection</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>UV254 (cm-1)</attrlabl>\n <attrdef>Ultraviolet-visible absorbance (UV/Vis) at 254-nm wavelength; uncorrected for iron\nconcentration. Field collection and laboratory analysis with Agilent 8453 UV-visible spectrophotometer. Weishaar, J.L., Aiken, G.R., Bergamaschi, B.A., Fram, M.S., Fujii, R., and Mopper, K.,\n2003, Evaluation of specific ultraviolet absorbance as an indicator of the chemical\ncomposition and reactivity of dissolved organic carbon: Environmental Science and Technology, v. 37(20), p. 4702-4708, available online at doi: 10.1021/es030360x</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.159</rdommin>\n <rdommax>0.912</rdommax>\n <attrunit>absorbance unit per centimeter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lab_FDOM(ex370, em460)</attrlabl>\n <attrdef>Laboratory fluorescent dissolved organic matter (FDOM) measurement at an excitation wavelength of 370 nm and an emission wavelength of 460 nm. See Chen, R.F., Zhang, Y., Vlahos, P., and Rudnick, S.M., 2002, The fluorescence of dissolved organic matter in the Mid-Atlantic Bight: Deep Sea Research II, v. 49, p. 4439-4459</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.384</rdommin>\n <rdommax>1.235</rdommax>\n <attrunit>Raman units</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lab_FDOM(ex320, em 470)</attrlabl>\n <attrdef>Laboratory fluorescent dissolved organic matter (FDOM) measurement at an excitation wavelength of 320 nm and an emission wavelength of 470 nm. See Chen, R.F., Zhang, Y., Vlahos, P., and Rudnick, S.M., 2002, The fluorescence of dissolved organic matter in the Mid-Atlantic Bight: Deep Sea Research II, v. 49, p. 4439-4459</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.544</rdommin>\n <rdommax>2.591</rdommax>\n <attrunit>Raman units</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>West Twin Creek 2011, Sensor data for data release.xlsx (Sheet1)</enttypl>\n <enttypd>Excel Worksheet</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Date_Time</attrlabl>\n <attrdef>Date and time of sample collection</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Date and time of sample collection.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FDOM_ppb QSE</attrlabl>\n <attrdef>Fluorescent dissolved organic matter concentration (FDOM) in ppb of Quinine Sulfate equivalent\n(QSE)) at the time of sampling, unfiltered. Field observations with YSI EXO2 handheld multi-parameter probe and YSI EXO fluorescent\ndissolved organic matter sensor (purchased prior to June 2017). See: Crawford, J. T., Loken, L.C., Stanley, E.H., Stets, E.G., Dornblaser, M.M., and Striegl, R.G., 2016, Basin scale controls on CO2 and CH4 emissions from the Upper Mississippi River: Geophysical Research Letters, v. 43, p. 1\xe2\x80\x937, available online at doi:10.1002/2015GL067599</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.642381974249</rdommin>\n <rdommax>423.783331056</rdommax>\n <attrunit>ppb of QSE (quinine sulfate equivalents)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WaterTemp_C</attrlabl>\n <attrdef>Surface water temperature at the time of sampling, in degrees Celsius. Field observations with YSI EXO2 handheld multi-parameter probe. See: Crawford, J. T., Loken, L.C., Stanley, E.H., Stets, E.G., Dornblaser, M.M., and Striegl, R.G., 2016, Basin scale controls on CO2 and CH4 emissions from the Upper Mississippi River: Geophysical Research Letters, v. 43, p. 1\xe2\x80\x937, available online at doi:10.1002/2015GL067599</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>6.5</rdommax>\n <attrunit>degrees Celcius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SC_\xc2\xb5S_ cm-1</attrlabl>\n <attrdef>Specific conductivity at the time of sampling, unfiltered. Field observations with YSI EXO2 handheld multi-parameter probe. See: Crawford, J. T., Loken, L.C., Stanley, E.H., Stets, E.G., Dornblaser, M.M., and Striegl, R.G., 2016, Basin scale controls on CO2 and CH4 emissions from the Upper Mississippi River: Geophysical Research Letters, v. 43, p. 1\xe2\x80\x937, available online at doi:10.1002/2015GL067599</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>21.0</rdommin>\n <rdommax>67.0</rdommax>\n <attrunit>microSiemens per centimeter (uS cm-1)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pH</attrlabl>\n <attrdef>Measure of the relative acidity or alkalinity of water, the -log10 of the hydrogen ion\nconcentration in moles/liter, unfiltered. Field observations with YSI EXO2 handheld multi-parameter probe. See: Crawford, J. T., Loken, L.C., Stanley, E.H., Stets, E.G., Dornblaser, M.M., and Striegl, R.G., 2016, Basin scale controls on CO2 and CH4 emissions from the Upper Mississippi River: Geophysical Research Letters, v. 43, p. 1\xe2\x80\x937, available online at doi:10.1002/2015GL067599</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>6.02</rdommin>\n <rdommax>7.21</rdommax>\n <attrunit>pH units</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Turbidity_FNU</attrlabl>\n <attrdef>Turbidity measurement at the time of sampling, unfiltered. Field observations with YSI EXO2 handheld multi-parameter probe. See: Crawford, J. T., Loken, L.C., Stanley, E.H., Stets, E.G., Dornblaser, M.M., and Striegl, R.G., 2016, Basin scale controls on CO2 and CH4 emissions from the Upper Mississippi River: Geophysical Research Letters, v. 43, p. 1\xe2\x80\x937, available online at doi:10.1002/2015GL067599</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not collected or measured; or not reported due to inability to meet QA/QC standards.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-24.6</rdommin>\n <rdommax>48.6</rdommax>\n <attrunit>Formazin nephelometric units (FNU)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7X63M7S</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Mark Dornblaser</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Chemist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Ste E127</address>\n <city>Boulder</city>\n <state>CO</state>\n <postal>80303</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>303-541-3015</cntvoice>\n <cntfax>303-541-3084</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
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4. [Passive seismic depth to bedrock data collected along headwater stream corridors in the Neversink River watershed, NY, USA](/catalog/folder/5fce8a40d34e30b912396ed1)
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## Dates
Publication Date2020-12-15Start Date2019-06-24End Date2020-11-19
## Citation
Briggs, M.A, Woda, J., Williams, J., and Trottier, B., 2020, Passive seismic depth to bedrock data collected along headwater stream corridors in the Neversink River watershed, NY, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P9CFSPH3.
## Summary
The Neversink River watershed (above the Neversink Reservoir) has been a focus of U.S. Geological Survey (USGS) research regarding stream geochemistry, acidification, and ecology dynamics for decades. In 2019, the Water Mission Area Next Generation Water Observing Systems Program augmented the existing stream gage network there, including instrumentation to specifically characterize various aspects of groundwater discharge to streams. An important control on the spatiotemporal dynamics of groundwater discharge can be stream valley corridor depth to bedrock, otherwise conceptualized as the thickness of unconsolidated sediments sediments over the contiguous bedrock interface. In June 2019, and November 2020, passive seismic recordings \[...\]
## Summary
The Neversink River watershed (above the Neversink Reservoir) has been a focus of U.S. Geological Survey (USGS) research regarding stream geochemistry, acidification, and ecology dynamics for decades. In 2019, the Water Mission Area Next Generation Water Observing Systems Program augmented the existing stream gage network there, including instrumentation to specifically characterize various aspects of groundwater discharge to streams. An important control on the spatiotemporal dynamics of groundwater discharge can be stream valley corridor depth to bedrock, otherwise conceptualized as the thickness of unconsolidated sediments sediments over the contiguous bedrock interface. In June 2019, and November 2020, passive seismic recordings were acquired at locations directly along stream banks in the Neversink River watershed, using MOHO Tromino Model TEP-3C (MOHO, S.R.L.) three-component seismometers to assess depth to bedrock using the horizontal-to-vertical spectral-ratio (HVSR) method. Resonance frequencies were derived from the raw data using the GRILLA software (MOHO, S.R.L.) and converted to inferred depths to the bedrock contact. This method requires a value for seismic shear wave velocity, which depends on the unconsolidated sediment composition and density, for the conversion of HVSR measured resonance frequency to a depth to bedrock. Possible shear wave velocities were estimated for Neversink River watershed sediment based on previous research in the glacial terrain of the Northeast USA, providing a range of possible data interpretations as shown in the ‘Processed\_Data’ folder of this data release. We expect to update the release in the future as additional HVSR data are collected.
## Contacts
Point of Contact
:
[Martin A Briggs](/catalog/catalogParty/show?partyId=60112),
[U.S. Geological Survey, Hydrogeophysics Branch](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey%2C+Hydrogeophysics+Branch)
Originator
:
[Mark Briggs](/catalog/catalogParty/show?partyId=64421),
[Joshua C Woda](/catalog/catalogParty/show?partyId=77866),
[John H Williams](/catalog/catalogParty/show?partyId=11277),
[Brett R Trottier](/catalog/catalogParty/show?partyId=79806)
Metadata Contact
:
[Martin A Briggs](/catalog/catalogParty/show?partyId=60112)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
:
[Observing Systems Division](/catalog/catalogParty/show?partyId=77192)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5fce8a40d34e30b912396ed1?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5fce8a40d34e30b912396ed1?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5fce8a40d34e30b912396ed1?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| HVSR\_NeverSink.xml<br>_Original FGDC Metadata_ | View | 12.38 KB | application/fgdc+xml |
| README.txt | | 2.05 KB | text/plain |
| streamside\_HVSR.jpg |  | 4.84 MB | image/jpeg |
| Raw\_Data.zip | | 34.27 MB | application/zip |
| Processed\_Data.zip | | 12.66 MB | application/zip |
| | | |
| --- | --- | --- |
| XYNeversink\_HVSR\_Arcmap.dbf | | 13.89 KB |
| XYNeversink\_HVSR\_Arcmap.prj | | 167 Bytes |
| XYNeversink\_HVSR\_Arcmap.shp | | 1.19 KB |
| XYNeversink\_HVSR\_Arcmap.shx | | 420 Bytes |
Shapefile:
XYNeversink\_HVSR\_Arcmap.zip
## Purpose
Depth to bedrock along stream corridors can directly influence patterns of streamflow, valley groundwater flow, and groundwater/surface water exchange but is often ill-defined in mountain headwater catchments. These HVSR data were collected to support process-based interpretation of stream temperature and chemical dynamics, and to aid in groundwater flow model development.
## Preview Image

## [Map](/catalog/item/imap/5fce8a40d34e30b912396ed1)
[](/catalog/item/imap/5fce8a40d34e30b912396ed1)
## Spatial Services
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ScienceBase WFS
## Communities
- USGS Data Release Products
- USGS Hydrogeophysics Branch
## Associated Items
- _related to_ [Thermal infrared and photogrammetric data collected by drone for hydrogeologic characterization around two US Geological Survey Next Generation Water Observing Systems stream gage locations near Claryville, NY, USA](/catalog/item/5ea324ea82cefae35a1a063f "Thermal infrared and photogrammetric data collected by drone for hydrogeologic characterization around two US Geological Survey Next Generation Water Observing Systems stream gage locations near Claryville, NY, USA")
- _alternate_ [Depth to bedrock determined from passive seismic measurements, Neversink River watershed, NY (USA)](/catalog/item/60c8adb0d34e86b9389dbfa0 "Depth to bedrock determined from passive seismic measurements, Neversink River watershed, NY (USA)")
- _related_ [Depth to bedrock determined from passive seismic measurements, Neversink River watershed, NY (USA)](/catalog/item/60c8adb0d34e86b9389dbfa0 "Depth to bedrock determined from passive seismic measurements, Neversink River watershed, NY (USA)")
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## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Theme
- [HVSR](/catalog/items?q=&filter=tags%3DHVSR "HVSR (HVSR, Theme, USGS Thesaurus)")
- [environment](/catalog/items?q=&filter=tags%3Denvironment "environment (environment, Theme, ISO 19115 Topic Category)")
- [geophysics](/catalog/items?q=&filter=tags%3Dgeophysics "geophysics (geophysics, Theme, USGS Thesaurus)")
- [geoscientificInformation](/catalog/items?q=&filter=tags%3DgeoscientificInformation "geoscientificInformation (geoscientificInformation, Theme, ISO 19115 Topic Category)")
- [groundwater](/catalog/items?q=&filter=tags%3Dgroundwater "groundwater (groundwater, Theme, USGS Thesaurus)")
- [groundwater and surface-water interaction](/catalog/items?q=&filter=tags%3Dgroundwater+and+surface-water+interaction "groundwater and surface-water interaction (groundwater and surface-water interaction, Theme, USGS Thesaurus)")
- [headwater streams](/catalog/items?q=&filter=tags%3Dheadwater+streams "headwater streams (headwater streams, Theme, USGS Thesaurus)")
- [hydrogeology](/catalog/items?q=&filter=tags%3Dhydrogeology "hydrogeology (hydrogeology, Theme, USGS Thesaurus)")
- [hydrology](/catalog/items?q=&filter=tags%3Dhydrology "hydrology (hydrology, Theme, USGS Thesaurus)")
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## Provenance
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## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9CFSPH3 |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Briggs, M.A</origin>\n <origin>Woda, J.</origin>\n <origin>Williams, J.</origin>\n <origin>Trottier, B.</origin>\n <pubdate>20201215</pubdate>\n <title>Passive seismic depth to bedrock data collected along headwater stream corridors in the Neversink River watershed, NY, USA</title>\n <geoform>Tabular Data</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Briggs, M.A., Woda, J., Williams, J., and Trottier, B., 2020, Passive seismic depth to bedrock data collected along headwater stream corridors in the Neversink River watershed, NY, USA: U.S. Geological Survey Public Data Release. doi.org/10.5066/P9CFSPH3</othercit>\n <onlink>https://doi.org/10.5066/P9CFSPH3</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The Neversink River watershed (above the Neversink Reservoir) has been a focus of U.S. Geological Survey (USGS) research regarding stream geochemistry, acidification, and ecology dynamics for decades. In 2019, the Water Mission Area Next Generation Water Observing Systems Program augmented the existing stream gage network there, including instrumentation to specifically characterize various aspects of groundwater discharge to streams. An important control on the spatiotemporal dynamics of groundwater discharge can be stream valley corridor depth to bedrock, otherwise conceptualized as the thickness of unconsolidated sediments sediments over the contiguous bedrock interface. In June 2019, and November 2020, passive seismic recordings were acquired at locations directly along stream banks in the Neversink River watershed, using MOHO Tromino Model TEP-3C (MOHO, S.R.L.) three-component seismometers to assess depth to bedrock using the horizontal-to-vertical spectral-ratio (HVSR) method. \nResonance frequencies were derived from the raw data using the GRILLA software (MOHO, S.R.L.) and converted to inferred depths to the bedrock contact. This method requires a value for seismic shear wave velocity, which depends on the unconsolidated sediment composition and density, for the conversion of HVSR measured resonance frequency to a depth to bedrock. Possible shear wave velocities were estimated for Neversink River watershed sediment based on previous research in the glacial terrain of the Northeast USA, providing a range of possible data interpretations as shown in the \xe2\x80\x98Processed_Data\xe2\x80\x99 folder of this data release. We expect to update the release in the future as additional HVSR data are collected.</abstract>\n <purpose>Depth to bedrock along stream corridors can directly influence patterns of streamflow, valley groundwater flow, and groundwater/surface water exchange but is often ill-defined in mountain headwater catchments. These HVSR data were collected to support process-based interpretation of stream temperature and chemical dynamics, and to aid in groundwater flow model development.</purpose>\n <supplinf>Data collection and analysis has been supported by the USGS Next Generation Water Observing Systems Program.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20190624</begdate>\n <enddate>20201119</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>In work</progress>\n <update>Irregular</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-74.6253</westbc>\n <eastbc>-74.3462</eastbc>\n <northbc>42.0403</northbc>\n <southbc>41.8725</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>geoscientificInformation</themekey>\n <themekey>inlandWaters</themekey>\n <themekey>environment</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>groundwater</themekey>\n <themekey>groundwater and surface-water interaction</themekey>\n <themekey>surface water (non-marine)</themekey>\n <themekey>regolith thickness</themekey>\n <themekey>hydrogeology</themekey>\n <themekey>hydrology</themekey>\n <themekey>geophysics</themekey>\n <themekey>remote sensing</themekey>\n <themekey>HVSR</themekey>\n <themekey>headwater streams</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5fce8a40d34e30b912396ed1</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Neversink River</placekey>\n <placekey>New York</placekey>\n <placekey>Sullivan County</placekey>\n </place>\n </keywords>\n <accconst>None. Acknowledgement of the U.S. Geological Survey would be appreciated in products derived from this data release.</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Martin A. Briggs</cntper>\n <cntorg>U.S. Geological Survey, Hydrogeophysics Branch</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>U.S. Geological Survey, 11 Sherman Place, Unit 5015</address>\n <city>Storrs</city>\n <state>CT</state>\n <postal>06269</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>860-487-7402</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Data collection and analysis has been supported by the USGS Next Generation Water Observing Systems Program</datacred>\n <native>.jpg, .pdf and .txt files</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>The raw HVSR data were processed to derive resonance frequencies using GRILLA software. These details are all described in the local readme file in the Processed-Data directory.</attraccr>\n </attracc>\n <logic>Data were reviewed for consistency.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Data were collected by coupling the HVSR units either directly to the ground surface or via metal plates, the latter being applied when surface sediments were loosely consolidated.</procdesc>\n <procdate>2020</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Neversink River Watershed, New York, USA</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.001</latres>\n <longres>0.001</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>North American Datum of 1983</horizdn>\n <ellips>GRS 1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>README.txt</enttypl>\n <enttypd>The high level readme that generally describes the two major zipped subdirectories.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>streamside_HVSR.jpg</enttypl>\n <enttypd>An example HVSR measurement collected directly on a large alluvial cobble along the Neversink east branch.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Raw_Data.zip</enttypl>\n <enttypd>A directory of raw HVSR data exported in .ASII format.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Processed_Data.zip</enttypl>\n <enttypd>A directory of data processing reports exported from GRILLA software and a spreadsheet of interpreted depth to bedrock estimates.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>XYNeversink_HVSR_Arcmap.dbf</enttypl>\n <enttypd>An ArcGIS shapefile component that shows one possible interpretation of the HVSR data, for demonstration purposes only.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>XYNeversink_HVSR_Arcmap.prj</enttypl>\n <enttypd>An ArcGIS shapefile component that shows one possible interpretation of the HVSR data, for demonstration purposes only.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>XYNeversink_HVSR_Arcmap.shx</enttypl>\n <enttypd>An ArcGIS shapefile component that shows one possible interpretation of the HVSR data, for demonstration purposes only.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>XYNeversink_HVSR_Arcmap.shp</enttypl>\n <enttypd>An ArcGIS shapefile component that shows one possible interpretation of the HVSR data, for demonstration purposes only.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey - ScienceBase Catalogue</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. \nAlthough this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner.\nUnless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.\nAlthough these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein.</distliab>\n </distinfo>\n <metainfo>\n <metd>20201215</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Martin A. Briggs</cntper>\n <cntorg>U.S. Geological Survey, Hydrogeophysics Branch</cntorg>\n </cntperp>\n <cntpos>Research Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>U.S. Geological Survey, 11 Sherman Place, Unit 5015</address>\n <city>Storrs</city>\n <state>CT</state>\n <postal>06269</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>860-487-7402</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2020-08-14Start Date2012-06-02End Date2012-06-21
## Citation
Peterson, D.E., Finn, C.A., and Bedrosian, P.A., 2020, Airborne electromagnetic and magnetic survey data, Iliamna Volcano, Alaska, June 2012: U.S. Geological Survey data release, https://doi.org/10.5066/P949B5C2.
## Summary
Airborne electromagnetic (AEM) and magnetic survey data were collected during June 2012 along 556 line-kilometers over Iliamna Volcano, Alaska. These data were collected in support of alteration and volcano flank instability mapping as part of the U.S. Geological Survey (USGS) Volcano Hazards Program. Data were acquired by SkyTEM Survey ApS SkyTEM304 with the Soloy Helicopters Eurocopter Astar 350 B3 and Bell 407 dual-moment, time-domain helicopter-borne electromagnetic system together with a Geometrics G822A cesium vapor magnetometer with Kroum KMAG4 counter. The survey was flown at a nominal flight height of 30 meters (m) above terrain along block-style lines with a nominal spacing of 250 m. The survey was designed to cover the summit \[...\]
## Summary
Airborne electromagnetic (AEM) and magnetic survey data were collected during June 2012 along 556 line-kilometers over Iliamna Volcano, Alaska. These data were collected in support of alteration and volcano flank instability mapping as part of the U.S. Geological Survey (USGS) Volcano Hazards Program. Data were acquired by SkyTEM Survey ApS SkyTEM304 with the Soloy Helicopters Eurocopter Astar 350 B3 and Bell 407 dual-moment, time-domain helicopter-borne electromagnetic system together with a Geometrics G822A cesium vapor magnetometer with Kroum KMAG4 counter. The survey was flown at a nominal flight height of 30 meters (m) above terrain along block-style lines with a nominal spacing of 250 m. The survey was designed to cover the summit and flanks of Iliamna volcano and includes transit lines east of the volcano which provide additional information on nearby structures and glacial thickness and resistivity. There are data gaps near Iliamna’s summit due to poor flight visibility. Data acquisition, minimal processing, and initial inversions were conducted by SkyTEM Survey ApS and described in detail in the contractor’s report. The AEM depth of investigation varied with subsurface resistivity and averaged approximately 338 m.
Raw digital data from production flights are provided and described in the data dictionary. Please see https://www.sciencebase.gov/catalog/item/5c8fb915e4b093882452b34a for the complete data package received from the contractor and the contractor’s report.
## Contacts
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[Dana E Peterson](/catalog/catalogParty/show?partyId=76480)
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[Dana E Peterson](/catalog/catalogParty/show?partyId=76480),
[Carol A Finn](/catalog/catalogParty/show?partyId=3194),
[Paul A Bedrosian](/catalog/catalogParty/show?partyId=650)
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[Dana E Peterson](/catalog/catalogParty/show?partyId=76480)
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| IliamnaAK2012\_DataDictonary\_EM\_Mag.csv<br>“Data dictionary” | | 2.49 KB | text/csv |
| IliamnaAK2012\_AEM\_Mag\_rawdata.csv<br>“Raw data” | | 418.53 MB | text/csv |
## Purpose
Data were obtained to determine the location of altered rock on Iliamna Volcano, a potential landslide hazard.
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Peterson, D.E.</origin>\n <origin>Finn, C.A.</origin>\n <origin>Bedrosian, P.A.</origin>\n <pubdate>20200814</pubdate>\n <title>Raw survey data Iliamna Volcano, Alaska June 2012</title>\n <geoform>tabular digital data</geoform>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Additional information about Originator: Peterson, D.E. https://orcid.org/0000-0002-1941-265X; Finn, C.A., https://orcid.org/0000-0002-6178-0405; Bedrosian, P.A. https://orcid.org/0000-0002-6786-1038\nSuggested citation: Peterson, D.E., Finn, C.A., and Bedrosian, P.A., 2020, Airborne electromagnetic and magnetic survey data, Iliamna Volcano, Alaska, June 2012: U.S. Geological Survey data release, https://doi.org/10.5066/P949B5C2</othercit>\n <onlink>https://doi.org/10.5066/P949B5C2</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Airborne electromagnetic (AEM) and magnetic survey data were collected during June 2012 along 556 line-kilometers over Iliamna Volcano, Alaska. These data were collected in support of alteration and volcano flank instability mapping as part of the U.S. Geological Survey (USGS) Volcano Hazards Program. Data were acquired by SkyTEM Survey ApS SkyTEM304 with the Soloy Helicopters Eurocopter Astar 350 B3 and Bell 407 dual-moment, time-domain helicopter-borne electromagnetic system together with a Geometrics G822A cesium vapor magnetometer with Kroum KMAG4 counter. The survey was flown at a nominal flight height of 30 meters (m) above terrain along block-style lines with a nominal spacing of 250 m. The survey was designed to cover the summit and flanks of Iliamna volcano and includes transit lines east of the volcano which provide additional information on nearby structures and glacial thickness and resistivity. There are data gaps near Iliamna\xe2\x80\x99s summit due to poor flight visibility. Data acquisition, minimal processing, and initial inversions were conducted by SkyTEM Survey ApS and described in detail in the contractor\xe2\x80\x99s report. The AEM depth of investigation varied with subsurface resistivity and averaged approximately 338 m. \n\nRaw digital data from production flights are provided and described in the data dictionary. Please see https://www.sciencebase.gov/catalog/item/5c8fb915e4b093882452b34a for the complete data package received from the contractor and the contractor\xe2\x80\x99s report.</abstract>\n <purpose>Data were obtained to determine the location of altered rock on Iliamna Volcano, a potential landslide hazard.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20120602</begdate>\n <enddate>20120621</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-153.169815</westbc>\n <eastbc>-152.640306</eastbc>\n <northbc>60.10531</northbc>\n <southbc>59.976551</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>geoscientificInformation</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>electromagnetic surveying</themekey>\n <themekey>aeromagnetic surveying</themekey>\n <themekey>geophysics</themekey>\n <themekey>resistivity</themekey>\n <themekey>geospatial datasets</themekey>\n <themekey>volcanology</themekey>\n <themekey>landslides</themekey>\n <themekey>hazards</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Geology, Geophysics, and Geochemistry Science Center</themekey>\n <themekey>GGGSC</themekey>\n <themekey>U.S. Geological Survey</themekey>\n <themekey>USGS</themekey>\n <themekey>USGS Volcano Hazards Program</themekey>\n <themekey>USGS Mineral Resources Program</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d47a6f8e4b01d82ce8dd0af</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System</placekt>\n <placekey>Iliamna Volcano</placekey>\n <placekey>Kenai Peninsula</placekey>\n </place>\n <place>\n <placekt>Common Geographic Areas</placekt>\n <placekey>Alaska</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Acknowledgment of the U.S. Geological Survey would be appreciated in products derived from these data</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Dana E Peterson</cntper>\n <cntorg>USGS Geology, Geophysics, and Geochemistry Science Center</cntorg>\n </cntperp>\n <cntpos>Geophysicist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Bldg 20, Box 25046, MS973</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>303-236-1413</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Daily quality control of raw electromagnetic and magnetic data was performed by the contractor. Further quality control measures occurred post flight by the contractor and USGS scientist-in-charge before approval and acceptance of the final data.</attraccr>\n </attracc>\n <logic>Electromagnetic data were loaded into the Aarhus Workbench software, visually inspected, and analyzed through the development of preliminary inverted resistivity models. Other digital data were visually inspected in grid and tabular format for reasonableness and spatial consistency.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>Field quality control and assurance procedures were undertaken by SkyTEM ApS and are described in the contractor's report included with this data release release at https://www.sciencebase.gov/catalog/item/5c8fb915e4b093882452b34a.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>Field quality control and assurance procedures were undertaken by SkyTEM ApS and are described in the contractor's report included with this data release release at https://www.sciencebase.gov/catalog/item/5c8fb915e4b093882452b34a.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>DATA COLLECTION: \nSkyTEM Survey ApS conducted the electromagnetic and aeromagnetic survey from June 2-21, 2012. Airborne electromagnetic (AEM) and magnetic survey data were collected from June 2nd to June 21st, 2012 along 556 line-kilometers primarily E-W over Iliamna Volcano, Alaska. Data were acquired by SkyTEM Survey ApS SkyTEM304 system with the Soloy Helicopters Eurocopter Astar 350 B3 and Bell 407 dual-moment, time-domain helicopter-borne electromagnetic system together with a Geometrics G822A cesium vapor magnetometer with Kroum KMAG4 counter. The survey was flown at a nominal flight height of 30 meters (m) above terrain with a nominal spacing of 250 m. Survey collection and processing details are described in the contractor's report, IliamnaAK2012_Report_Final.pdf, included with this data release release at https://www.sciencebase.gov/catalog/item/5c8fb915e4b093882452b34a.</procdesc>\n <procdate>201206</procdate>\n </procstep>\n <procstep>\n <procdesc>PROCESSING BY CONTRACTOR: \nElectromagnetic and magnetic data processing was undertaken by SkyTEM ApS in Aarhus, Denmark. This processing workflow is described in the contractor's report included with this data release release at https://www.sciencebase.gov/catalog/item/5c8fb915e4b093882452b34a. Final data and contractor's report were received by the USGS from SkyTEM ApS.</procdesc>\n <procdate>201209</procdate>\n </procstep>\n <procstep>\n <procdesc>Final data were exported to CSV-format to meet open data requirements.</procdesc>\n <procdate>201908</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spref>\n <horizsys>\n <planar>\n <gridsys>\n <gridsysn>Universal Transverse Mercator</gridsysn>\n <utm>\n <utmzone>5</utmzone>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-153.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000.0</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </utm>\n </gridsys>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.1</absres>\n <ordres>0.1</ordres>\n </coordrep>\n <plandu>METERS</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D_WGS_1984</horizdn>\n <ellips>WGS_1984</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257223563</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <overview>\n <eaover>Dataset containing minimally processed (\xe2\x80\x98raw\xe2\x80\x99) AEM and magnetic data, described by the data dictionary, IliamnaAK2012_DataDictonary_EM_Mag.csv.</eaover>\n <eadetcit>IliamnaAK2012_AEM_Mag_rawdata.csv (https://doi.org/10.5066/P949B5C2)</eadetcit>\n </overview>\n <overview>\n <eaover>Data dictionary describing the entity and attributes for the airborne electromagnetic data was developed from the contractor's report for data acquired with the SkyTEM time-domain electromagnetic helicopter-borne system and a Geometrics G822A cesium vapor magnetometer.</eaover>\n <eadetcit>IliamnaAK2012_DataDictonary_EM_Mag.csv (https://doi.org/10.5066/P949B5C2)</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n <techpreq>Part or all of this report is presented in Portable Document Format (PDF); the latest version of Adobe Acrobat Reader or similar software is required to view it.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Dana E Peterson</cntper>\n <cntorg>USGS Geology, Geophysics, and Geochemistry Science Center</cntorg>\n </cntperp>\n <cntpos>Geophysicist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 964, W 6th Ave Kipling St</address>\n <city>Lakewood</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>303-236-1413</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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## Dates
Publication Date2018-08-10Start Date2011-06-21End Date2011-07-15
## Citation
Smith, D.C., 2018, Constituent concentrations in sediment of selected gravel bars along the Big River, southeast Missouri, 2011: U.S. Geological Survey data release, https://doi.org/10.5066/P9FGP5JF.
## Summary
Historic mining activity in the Old Lead Belt has led to substantial influx of lead and zinc mining waste into the channel of the Big River in southeastern Missouri. The primary objectives of this data collection was to determine the depth of heavy-metal contamination at five gravel bars along the Big River to verify and supplement findings by Pavlowsky and Owen (2010). A secondary objective of the study was to develop and implement methods for use in other Natural Resource Damage Assessment projects, such as the Tri-State Mining District (TSMD) project (Smith, 2016). This data was collected in cooperation with the Ozarks Environmental and Water Resources Institute, Missouri State University, and U.S. Fish and Wildlife Service (USFWS). \[...\]
## Summary
Historic mining activity in the Old Lead Belt has led to substantial influx of lead and zinc mining waste into the channel of the Big River in southeastern Missouri. The primary objectives of this data collection was to determine the depth of heavy-metal contamination at five gravel bars along the Big River to verify and supplement findings by Pavlowsky and Owen (2010). A secondary objective of the study was to develop and implement methods for use in other Natural Resource Damage Assessment projects, such as the Tri-State Mining District (TSMD) project (Smith, 2016). This data was collected in cooperation with the Ozarks Environmental and Water Resources Institute, Missouri State University, and U.S. Fish and Wildlife Service (USFWS).
Five gravel bars along the Big River were selected for this study. Three boreholes were drilled on each gravel bar with the exception of bar A. Due to the smaller surface area of bar A, two boreholes were drilled. Surface samples were collected in the unsaturated zone by hand methods for each boring location. A stainless steel hand scoop was used to collect sediment from 0 to 1 foot. A shovel was used to collect deeper samples in the unsaturated zone. Once a hole was excavated with a shovel, disturbed sediment was cleared away to access undisturbed sediment and a sample would be collected with a stainless steel hand scoop.
A freeze method similar to that used by Lisle and Eads (1971) was used to collect the saturated samples for the project. Methods used in this study implemented a hollow sampler and was driven by means of Geoprobe direct push sampling equipment. In this study, liquid carbon dioxide was injected into the hollow sampler and sediment was frozen to the outside of the sampler. The length-wise fins on the outside of the sampler protected the frozen sample during removal by pushing coarse material away from the sampler during the retrieval process. More information about the sampler design and methods is described by Smith (2016). The frozen sample was then rinsed with deionized water while still frozen to the sampler. This removed any particles from upper layers that may have attached to the frozen sediment during retrieval. This left a solid frozen sediment sample taken from the depth at which the sample was frozen. The sediment was then scraped and rinsed into a stainless steel pan.
All samples were stored in labeled double zippered plastic bags and transported to the Rolla, Missouri US Geological Survey (USGS) office. Samples were stored in the USGS repository and allowed to air dry. Once the samples were dry, the initial mass was recorded and sieved using a single #10 (2 millimeter) sieve. The two size fractions were placed in separate labeled zippered plastic bags and their masses were recorded. The less than 2 millimeter size fraction was scanned by USFWS personnel in Columbia, Missouri using a handheld x-ray fluorescence (XRF) unit to determine metal concentrations. The samples were scanned 3 times and the average concentration of the three scans for each constituent was calculated as a best representation of the constituent concentration. The individual samples were hand mixed within the bag before each scan to ensure homogeneity.
Pavlowsky, R.T., Owen, M.R. and Martin, D.J., 2010, Distribution, geochemistry, and storage of mining sediment in channel and floodplain deposits of the Big River System in St. Francois, Washington, and Jefferson counties, Missouri, The Ozarks Environmental and Water Resources Institute (OEWRI), Missouri State University, 141 p., https://oewri.missouristate.edu/assets/OEWRI/Big\_River\_Report.pdf
Smith, D.C., 2016, Occurrence, distribution, and volume of metals-contaminated sediment of selected streams draining the Tri-State Mining District, Missouri, Oklahoma, and Kansas, 2011–12: U.S. Geological Survey Scientific Investigations Report 2016–5144, 86 p., http://dx.doi.org/10.3133/sir20165144.
Lisle, T.E., and Eads, R.E., 1971, Methods to measure sedimentation of spawning gravels: U.S. Department of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station Research Note PSW-RN-411, 7 p.
## Contacts
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## Purpose
The primary objectives of this data collection was to determine the depth of heavy-metal contamination at five gravel bars along the Big River to verify and supplement findings by previous research. A secondary objective of the study was to develop and implement methods for use in other similar projects, such as the Tri-State Mining District (TSMD) project.
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>David Smith</origin>\n <pubdate>2018</pubdate>\n <title>Constituent Concentrations in Sediment of Selected Gravel Bars along the Big River, Southeast Missouri, 2011.</title>\n <geoform>spreadsheet</geoform>\n <onlink>https://doi.org/10.5066/P9FGP5JF</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Historic mining activity in the Old Lead Belt has led to substantial influx of lead and zinc mining waste into the channel of the Big River in southeastern Missouri. The primary objectives of this data collection was to determine the depth of heavy-metal contamination at five gravel bars along the Big River to verify and supplement findings by Pavlowsky and Owen (2010). A secondary objective of the study was to develop and implement methods for use in other Natural Resource Damage Assessment projects, such as the Tri-State Mining District (TSMD) project (Smith, 2016). This data was collected in cooperation with the Ozarks Environmental and Water Resources Institute, Missouri State University, and U.S. Fish and Wildlife Service (USFWS).\nFive gravel bars along the Big River were selected for this study. Three boreholes were drilled on each gravel bar with the exception of bar A. Due to the smaller surface area of bar A, two boreholes were drilled. Surface samples were collected in the unsaturated zone by hand methods for each boring location. A stainless steel hand scoop was used to collect sediment from 0 to 1 foot. A shovel was used to collect deeper samples in the unsaturated zone. Once a hole was excavated with a shovel, disturbed sediment was cleared away to access undisturbed sediment and a sample would be collected with a stainless steel hand scoop.\nA freeze method similar to that used by Lisle and Eads (1971) was used to collect the saturated samples for the project. Methods used in this study implemented a hollow sampler and was driven by means of Geoprobe direct push sampling equipment. In this study, liquid carbon dioxide was injected into the hollow sampler and sediment was frozen to the outside of the sampler. The length-wise fins on the outside of the sampler protected the frozen sample during removal by pushing coarse material away from the sampler during the retrieval process. More information about the sampler design and methods is described by Smith (2016). The frozen sample was then rinsed with deionized water while still frozen to the sampler. This removed any particles from upper layers that may have attached to the frozen sediment during retrieval. This left a solid frozen sediment sample taken from the depth at which the sample was frozen. The sediment was then scraped and rinsed into a stainless steel pan.\nAll samples were stored in labeled double zippered plastic bags and transported to the Rolla, Missouri US Geological Survey (USGS) office. Samples were stored in the USGS repository and allowed to air dry. Once the samples were dry, the initial mass was recorded and sieved using a single #10 (2 millimeter) sieve. The two size fractions were placed in separate labeled zippered plastic bags and their masses were recorded. The less than 2 millimeter size fraction was scanned by USFWS personnel in Columbia, Missouri using a handheld x-ray fluorescence (XRF) unit to determine metal concentrations. The samples were scanned 3 times and the average concentration of the three scans for each constituent was calculated as a best representation of the constituent concentration. The individual samples were hand mixed within the bag before each scan to ensure homogeneity.\n\nPavlowsky, R.T., Owen, M.R. and Martin, D.J., 2010, Distribution, geochemistry, and storage of mining sediment in channel and floodplain deposits of the Big River System in St. Francois, Washington, and Jefferson counties, Missouri, The Ozarks Environmental and Water Resources Institute (OEWRI), Missouri State University, 141 p., https://oewri.missouristate.edu/assets/OEWRI/Big_River_Report.pdf\n\nSmith, D.C., 2016, Occurrence, distribution, and volume of metals-contaminated sediment of selected streams draining the Tri-State Mining District, Missouri, Oklahoma, and Kansas, 2011\xe2\x80\x9312: U.S. Geological Survey Scientific Investigations Report 2016\xe2\x80\x935144, 86 p., http://dx.doi.org/10.3133/sir20165144.\n\nLisle, T.E., and Eads, R.E., 1971, Methods to measure sedimentation of spawning gravels: U.S. Department of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station Research Note PSW-RN-411, 7 p.</abstract>\n <purpose>The primary objectives of this data collection was to determine the depth of heavy-metal contamination at five gravel bars along the Big River to verify and supplement findings by previous research. A secondary objective of the study was to develop and implement methods for use in other similar projects, such as the Tri-State Mining District (TSMD) project.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20110621</begdate>\n <enddate>20110715</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-90.7522</westbc>\n <eastbc>-90.4810</eastbc>\n <northbc>38.2932</northbc>\n <southbc>37.8683</southbc>\n </bounding>\n <descgeog>Big River, Missouri, 2011</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Lead</themekey>\n <themekey>Zinc</themekey>\n <themekey>Cadmium</themekey>\n <themekey>Sediment</themekey>\n <themekey>Freeze-core</themekey>\n <themekey>Mining</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5b2ba272e4b040769c1069b7</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Lead</placekey>\n <placekey>Zinc</placekey>\n <placekey>Cadmium</placekey>\n <placekey>Sediment</placekey>\n <placekey>Freeze-core</placekey>\n <placekey>Mining</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>None. Users are advised to read the data set\'s metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>David C. Smith</cntper>\n <cntorg>U.S. Gological Survey</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>1400 Independence Road, MS 100</address>\n <city>Rolla</city>\n <state>MO</state>\n <postal>65401</postal>\n </cntaddr>\n <cntvoice>573-308-3675</cntvoice>\n </cntinfo>\n </ptcontac>\n <datacred>The data was collected in cooperation with the U.S. Fish and Wildlife Service (USFWS).</datacred>\n <native>Microsoft Excel was used to process and display the data.</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Standards and blanks were scanned by x-ray fluorescence unit to before, during, and after scanning of the samples in this data release to ensure accuracy of the unit.</attraccr>\n </attracc>\n <logic>The data falls within expected ranges.</logic>\n <complete>The data represents constituent concentrations of sediment samples collected on gravel bars on the Big River in southeast Missouri.</complete>\n <posacc>\n <horizpa>\n <horizpar>Sample locations were mapped and visually inspected to ensure accuracy.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>Not applicable</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>All samples were stored in labeled double zippered plastic bags and transported to the Rolla, Missouri U.S. Geological Survey (USGS) office. Samples were stored in the USGS repository and allowed to air dry. Once the samples were dry, the initial mass was recorded and sieved using a single #10 sieve (2 millimeter). The two size fractions were placed in separate labeled zippered plastic bags and their masses were recorded. The less than 2 millimeter size fraction was scanned by USFWS personnel in Columbia, Missouri using handheld x-ray fluorescence (XRF) unit to determine metal concentrations. The samples were scanned 3 times and the average concentration of the three scans for each constituent was calculated as a best representation of the constituent concentration. The individual samples were hand mixed within the bag before each scan to ensure homogeneity.</procdesc>\n <procdate>20120501</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.000091</latres>\n <longres>0.000091</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>World Geodetic System 1984 (WGS 84)</horizdn>\n <ellips>WGS_1984</ellips>\n <semiaxis>6378137</semiaxis>\n <denflat>298.257223563</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Constituent_Concentrations_BigRiver_2011.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Sample ID</attrlabl>\n <attrdef>Sample unique identification. Standards and blanks are identified with the following ID\'s: NCS DC 73308, NIST HIGH, NIST MEDIUM, RCRA, SIO2 Blank. \n\nThe most probable values for the standards are as follows (NR= Not reported; all concentrations are reported in units of milligrams per kilogram):\n\nNCS DC 73308: Pb=27, Zn=46, Cd=1.12, Cu=22.6, Ni=30, Fe=NR, Mn=1010, Cr=136, Ba=42.\n\nNIST HIGH: Pb=5100, Zn=3800, Cd=11, Cu=3300, Ni=5.5, Fe=34000, Mn=3500, Cr=10, Ba=792.\n\nNIST MEDIUM: Pb=1300, Zn=350, Cd=47, Cu=130, Ni=15, Fe=15000, Mn=460, Cr=15, Ba=190.\n\nRCRA: Pb=500, Zn=NR, Cd=500, Cu=NR, Ni=NR, Fe=NR, Mn=NR, Cr=NR, Ba=NR.\n\nSiO2 Blank: All values are less than the instrument\'s limit of detection.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Sample unique identification</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Borehole ID</attrlabl>\n <attrdef>Borehole unique identification. NA indicates that the column is not applicable to the sample.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Borehole unique identification</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Gravel Bar ID</attrlabl>\n <attrdef>This is the letter identification of the gravel bars in the data set. The five gravel bars in this dataset were given the letter identification of A, B, C, D, or E based on their location on the Big River. Gravel bars were labeled with consecutive letters starting with "A" while moving upstream from the mouth of the Big river. Gravel bar "A" is the gravel bar furthest downstream while gravel bar "E" is the furthest upstream.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>This is the letter identification of the gravel bars in the data set. The five gravel bars in this dataset were given the letter identification of A, B, C, D, or E based on their location on the Big River. Gravel bars were labeled with consecutive letters starting with "A" while moving upstream from the mouth of the Big river. Gravel bar "A" is the gravel bar furthest downstream while gravel bar "E" is the furthest upstream.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Latitude</attrlabl>\n <attrdef>Latitude in decimal degrees. Borehole unique identification. NA indicates that the column is not applicable to the sample.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>37.8885114</rdommin>\n <rdommax>38.2756944</rdommax>\n <attrunit>decimal degrees</attrunit>\n <attrmres>0.000091</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Longitude</attrlabl>\n <attrdef>Longitude in decimal degrees. Borehole unique identification. NA indicates that the column is not applicable to the sample.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-90.6828595</rdommin>\n <rdommax>-90.4929855</rdommax>\n <attrunit>decimal degrees</attrunit>\n <attrmres>0.000091</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Depth To Top of Sample</attrlabl>\n <attrdef>This column represents the upper extent of the individual linear sample collected from the borehole measured from below land surface. Borehole unique identification. NA indicates that the column is not applicable to the sample.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>12.0</rdommax>\n <attrunit>feet</attrunit>\n <attrmres>0.1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Depth To Bottom of Sample</attrlabl>\n <attrdef>This column represents the bottom extent of the individual linear sample collected from the borehole measured from below land surface. Borehole unique identification. NA indicates that the column is not applicable to the sample.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.5</rdommin>\n <rdommax>13.0</rdommax>\n <attrunit>feet</attrunit>\n <attrmres>0.1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ave Depth of Sample</attrlabl>\n <attrdef>This column represents the average extent of the individual linear sample collected from the borehole measured from below land surface. The average depth was calculated by dividing the sum of the top and bottom depths by 2. Borehole unique identification. NA indicates that the column is not applicable to the sample.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.5</rdommin>\n <rdommax>12.5</rdommax>\n <attrunit>feet</attrunit>\n <attrmres>0.1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Approximate Land Surface Height Above Stream Surface</attrlabl>\n <attrdef>This column represents the height of the land surface above the local stream surface at each individual borehole. Borehole unique identification. NA indicates that the column is not applicable to the sample.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.0</rdommin>\n <rdommax>5.0</rdommax>\n <attrunit>feet</attrunit>\n <attrmres>0.1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Date</attrlabl>\n <attrdef>Date that the sample was collected in the format of mm/dd/yyyy. Borehole unique identification. NA indicates that the column is not applicable to the sample.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Date that the sample was collected in the format of mm/dd/yyyy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Time</attrlabl>\n <attrdef>Date that the sample was collected in the format of hh:mm. ND, indicates no time data was recorded for the particular sample. Borehole unique identification. NA indicates that the column is not applicable to the sample.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Date that the sample was collected in the format of hh:mm. ND, indicates no time data was recorded for the particular sample.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total Mass of Sample</attrlabl>\n <attrdef>Total mass of Sample after processing in grams. Borehole unique identification. NA indicates that the column is not applicable to the sample.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>9.6</rdommin>\n <rdommax>1439.5</rdommax>\n <attrunit>grams</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total Mass of Fine Fraction</attrlabl>\n <attrdef>Total mass of less than 2 millimeter size fraction of the sample after processing in grams. Borehole unique identification. NA indicates that the column is not applicable to the sample.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6.7</rdommin>\n <rdommax>659.9</rdommax>\n <attrunit>grams</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total Mass of Coarse Fraction</attrlabl>\n <attrdef>Total mass of greater than 2 millimeter size fraction of the sample after processing in grams. Borehole unique identification. NA indicates that the column is not applicable to the sample.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>904.5</rdommax>\n <attrunit>grams</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Pb</attrlabl>\n <attrdef>Concentration of lead in individual sample of the less than 2 millimeter size fraction. Less than 13 indicates that the concentration was below the instruments level of detection (13 milligrams per kilogram).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>Less than 13</rdommin>\n <rdommax>5534</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Pb Error</attrlabl>\n <attrdef>Instrument error reported by the instrument for lead.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>9</rdommin>\n <rdommax>120</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Zn</attrlabl>\n <attrdef>Concentration of zinc in individual sample of the less than 2 millimeter size fraction. Less than 25 indicates that the concentration was below the instruments level of detection (25 milligrams per kilogram).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>Less than 25</rdommin>\n <rdommax>7197</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Zn Error</attrlabl>\n <attrdef>Instrument error reported by the instrument for zinc.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>13</rdommin>\n <rdommax>170</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cd</attrlabl>\n <attrdef>Concentration of cadmium in individual sample of the less than 2 millimeter size fraction. Less than 12 indicates that the concentration was below the instruments level of detection (12 milligrams per kilogram).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>Less than 12</rdommin>\n <rdommax>561</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cd Error</attrlabl>\n <attrdef>Instrument error reported by the instrument for cadmium.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>9</rdommin>\n <rdommax>21</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cu</attrlabl>\n <attrdef>Concentration of copper in individual sample of the less than 2 millimeter size fraction. Less than 36 indicates that the concentration was below the instruments level of detection (35 milligrams per kilogram).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>Less than 36</rdommin>\n <rdommax>3067</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cu Error</attrlabl>\n <attrdef>Instrument error reported by the instrument for copper.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>24</rdommin>\n <rdommax>129</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ni</attrlabl>\n <attrdef>Concentration of nickel in individual sample of the less than 2 millimeter size fraction. Less than 65 indicates that the concentration was below the instruments level of detection (65 milligrams per kilogram).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>Less than 65</rdommin>\n <rdommax>156</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ni Error</attrlabl>\n <attrdef>Instrument error reported by the instrument for nickel.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>43</rdommin>\n <rdommax>83</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fe</attrlabl>\n <attrdef>Concentration of iron in individual sample of the less than 2 millimeter size fraction. Less than 100 indicates that the concentration was below the instruments level of detection (100 milligrams per kilogram).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>Less than 100</rdommin>\n <rdommax>86126</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fe Error</attrlabl>\n <attrdef>Instrument error reported by the instrument for iron.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>161</rdommin>\n <rdommax>970</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Mn</attrlabl>\n <attrdef>Concentration of manganese in individual sample of the less than 2 millimeter size fraction. Less than 85 indicates that the concentration was below the instruments level of detection (85 milligrams per kilogram).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>Less than 85</rdommin>\n <rdommax>16625</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Mn Error</attrlabl>\n <attrdef>Instrument error reported by the instrument for manganese.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>54</rdommin>\n <rdommax>539</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cr</attrlabl>\n <attrdef>Concentration of chromium in individual sample of the less than 2 millimeter size fraction. Less than 85 indicates that the concentration was below the instruments level of detection (85 milligrams per kilogram).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>Less than 85</rdommin>\n <rdommax>325</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cr Error</attrlabl>\n <attrdef>Instrument error reported by the instrument for chromium.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>19</rdommin>\n <rdommax>59</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ba</attrlabl>\n <attrdef>Concentration of barium in individual sample of the less than 2 millimeter size fraction. Less than 100 indicates that the concentration was below the instruments level of detection (100 milligrams per kilogram).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>Less than 100</rdommin>\n <rdommax>682</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ba Error</attrlabl>\n <attrdef>Instrument error reported by the instrument for barium.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>46</rdommin>\n <rdommax>76</rdommax>\n <attrunit>milligrams per kilogram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>Denver Federal Building, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9FGP5JF</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>David Smith</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>1400 Independence Road, MS 100</address>\n <city>Rolla</city>\n <state>MO</state>\n <postal>65401</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>573-308-3675</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>' |
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3. [Remotely sensed data and field measurements used for bathymetric mapping of the upper Sacramento River in northern California](/catalog/item/5abaad29e4b081f61abb4d81)
4. [Depth measurements from the upper Sacramento River in northern California, September 11-14, 2017](/catalog/folder/5aba8249e4b081f61abb4c75)
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## Dates
Publication Date2019-04-17Start Date2017-09-11End Date2017-09-14
## Citation
Legleiter, C.J., and Harrison, L.R., 2019, Depth measurements from the upper Sacramento River in northern California, September 11-14, 2017: U.S. Geological Survey data release, https://doi.org/10.5066/F7Q52NZ1.
## Summary
Field measurements of water depth were acquired from a reach of the upper Sacramento River in northern California, September 12-14, 2017, to support research on salmon habitat and geomorphic change along the Sacramento River and, more broadly, remote sensing of rivers. The depth measurements included in this data release were obtained by wading the shallow channel margins with RTK GPS receivers and measuring water surface elevations along the water's edge and bed elevations within the channel; depths were calculated by subtracting bed elevations from the nearest water surface elevation. For the deeper areas representing most of the channel, depths were recorded along a series of cross-sections by a SonTek RiverSurveyor S5 acoustic \[...\]
## Summary
Field measurements of water depth were acquired from a reach of the upper Sacramento River in northern California, September 12-14, 2017, to support research on salmon habitat and geomorphic change along the Sacramento River and, more broadly, remote sensing of rivers. The depth measurements included in this data release were obtained by wading the shallow channel margins with RTK GPS receivers and measuring water surface elevations along the water's edge and bed elevations within the channel; depths were calculated by subtracting bed elevations from the nearest water surface elevation. For the deeper areas representing most of the channel, depths were recorded along a series of cross-sections by a SonTek RiverSurveyor S5 acoustic Doppler current profiler (ADCP) and an Ohmex SonarMite echo sounder, both deployed from a jet boat. The spatial location of each measurement was obtained via GPS receivers: Trimble R8 and R10 RTK rovers for the wading and echo sounder measurements and a differential GPS included as part of the RiverSurveyor S5 ADCP instrument package. The map projection and datum for these data are UTM Zone 10 N and NAD83, respectively. The wading-, echo sounder-, and ADCP-based depth measurements were cross-calibrated to one another and are combined for the purposes of this data release, which consists of a comma-delimited (\*.csv) text file with three columns: East\_m, North\_m, and Depth\_m; the units of the spatial coordinates and the depths are meters. This ground-based data set played a critical role in developing improved methods for mapping river bathymetry from remotely sensed data.
## Contacts
Originator
:
[Carl J Legleiter](/catalog/catalogParty/show?partyId=13411),
[Lee R. Harrison](/catalog/catalogParty/show?partyId=Lee+R.+Harrison)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[National Research Program](/catalog/catalogParty/show?partyId=70180)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
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| SacDepthMetadata.xml<br>_Original FGDC Metadata_ | View | 13.04 KB | application/fgdc+xml |
| SacDepthData.csv | | 548.55 KB | text/csv |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Legleiter, C. J., & Harrison, L. R. ( 2019). Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA. Water Resources Research, 55, 2142– 2169. https://doi.org/10.1029/2018WR023586 | [https://doi.org/10.1029/2018WR023586](https://doi.org/10.1029/2018WR023586 "https://doi.org/10.1029/2018WR023586") |
## Material Request Instructions
For questions concerning this data set, please contact:
Dr. Carl J. Legleiter - [[email protected]](mailto:[email protected]), 303-271-3651
Geomorphology and Sediment Transport Laboratory
United States Geological Survey
4620 Technology Drive, Suite #400
Golden, CO 80403
## Purpose
Field measurements of water depth were acquired from a reach of the upper Sacramento River in northern California, September 11-14, 2017, to support research on salmon habitat and geomorphic change along the Sacramento River and, more broadly, remote sensing of rivers. This ground-based data set played a critical role in developing improved methods for mapping river bathymetry from remotely sensed data.
## Rights
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
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## Associated Items
- _related to_ [Airborne hyperspectral image data from the upper Sacramento River in northern California, September 14, 2017](/catalog/item/5abbd5f7e4b081f61abd5b36 "Airborne hyperspectral image data from the upper Sacramento River in northern California, September 14, 2017")
- _Constituent Of_ [Remotely sensed data and field measurements used for bathymetric mapping of the upper Sacramento River in northern California](/catalog/item/5abaad29e4b081f61abb4d81 "Remotely sensed data and field measurements used for bathymetric mapping of the upper Sacramento River in northern California")
- _related to_ [Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017](/catalog/item/5abd5dbbe4b081f61abfc437 "Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017")
- _related_ [Field measurements of water column optical properties from the upper Sacramento River in northern California, September 13, 2017, and similar data from several other rivers](/catalog/item/5abd24dce4b081f61abfbce9 "Field measurements of water column optical properties from the upper Sacramento River in northern California, September 13, 2017, and similar data from several other rivers")
- _related_ [Multispectral satellite image data from the upper Sacramento River in northern California, October 18, 2017](/catalog/item/5abcf26fe4b081f61abfb68b "Multispectral satellite image data from the upper Sacramento River in northern California, October 18, 2017")
- _related_ [UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017](/catalog/item/5abc0336e4b081f61abd5c1a "UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017")
- _related_ [Field spectra from the upper Sacramento River in northern California, September 11-14, 2017](/catalog/item/5ababe74e4b081f61abb4e2b "Field spectra from the upper Sacramento River in northern California, September 11-14, 2017")
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## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [acoustic Doppler current profiler](/catalog/items?q=&filter=tags%3Dacoustic+Doppler+current+profiler "acoustic Doppler current profiler (acoustic Doppler current profiler, Theme, USGS Thesaurus)")
- [bathymetry](/catalog/items?q=&filter=tags%3Dbathymetry "bathymetry (bathymetry, Theme, USGS Thesaurus)")
- [depth](/catalog/items?q=&filter=tags%3Ddepth "depth (depth, Theme, USGS Thesaurus)")
- [echo sounder](/catalog/items?q=&filter=tags%3Decho+sounder "echo sounder (echo sounder, Theme, USGS Thesaurus)")
- [rivers](/catalog/items?q=&filter=tags%3Drivers "rivers (rivers, Theme, USGS Thesaurus)")
Place
- [California](/catalog/items?q=&filter=tags%3DCalifornia "California (California, Place, Geographic Names Information System (GNIS))")
- [Cottonwood Creek](/catalog/items?q=&filter=tags%3DCottonwood+Creek "Cottonwood Creek (Cottonwood Creek, Place, Geographic Names Information System (GNIS))")
- [Sacramento River](/catalog/items?q=&filter=tags%3DSacramento+River "Sacramento River (Sacramento River, Place, Geographic Names Information System (GNIS))")
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Carl J. Legleiter</origin>\n <origin>Lee R. Harrison</origin>\n <pubdate>2019</pubdate>\n <title>Depth measurements from the upper Sacramento River in northern California, September 11-14, 2017</title>\n <geoform>The data consist of a comma-delimited (*.csv) text file with depth data in three columns: East, North, and Depth, all in units of meters. Projection and datum are UTM Zone 10 N and NAD83.</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7Q52NZ1</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Field measurements of water depth were acquired from a reach of the upper Sacramento River in northern California, September 12-14, 2017, to support research on salmon habitat and geomorphic change along the Sacramento River and, more broadly, remote sensing of rivers. The depth measurements included in this data release were obtained by wading the shallow channel margins with RTK GPS receivers and measuring water surface elevations along the water\'s edge and bed elevations within the channel; depths were calculated by subtracting bed elevations from the nearest water surface elevation. For the deeper areas representing most of the channel, depths were recorded along a series of cross-sections by a SonTek RiverSurveyor S5 acoustic Doppler current profiler (ADCP) and an Ohmex SonarMite echo sounder, both deployed from a jet boat. The spatial location of each measurement was obtained via GPS receivers: Trimble R8 and R10 RTK rovers for the wading and echo sounder measurements and a differential GPS included as part of the RiverSurveyor S5 ADCP instrument package. The map projection and datum for these data are UTM Zone 10 N and NAD83, respectively. The wading-, echo sounder-, and ADCP-based depth measurements were cross-calibrated to one another and are combined for the purposes of this data release, which consists of a comma-delimited (*.csv) text file with three columns: East_m, North_m, and Depth_m; the units of the spatial coordinates and the depths are meters. This ground-based data set played a critical role in developing improved methods for mapping river bathymetry from remotely sensed data.</abstract>\n <purpose>Field measurements of water depth were acquired from a reach of the upper Sacramento River in northern California, September 11-14, 2017, to support research on salmon habitat and geomorphic change along the Sacramento River and, more broadly, remote sensing of rivers. This ground-based data set played a critical role in developing improved methods for mapping river bathymetry from remotely sensed data.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20170911</begdate>\n <enddate>20170914</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-122.22839354996</westbc>\n <eastbc>-122.11853026872</eastbc>\n <northbc>40.417678334553</northbc>\n <southbc>40.279525667514</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>depth</themekey>\n <themekey>bathymetry</themekey>\n <themekey>rivers</themekey>\n <themekey>acoustic Doppler current profiler</themekey>\n <themekey>echo sounder</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5aba8249e4b081f61abb4c75</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Sacramento River</placekey>\n <placekey>Cottonwood Creek</placekey>\n <placekey>California</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Carl J Legleiter</cntper>\n <cntorg>U.S. Geological Survey Geomorphology and Sediment Transport Laboratory</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>4620 Technology Dr., Suite #400</address>\n <city>Golden</city>\n <state>CO</state>\n <postal>80403</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>303-271-3651</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>This study was completed in collaboration with the National Oceanographic and Atmospheric Administration (NOAA) Southwest Fisheries Science Center.</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>The depth measurements included in this data release were obtained by wading the shallow channel margins with RTK GPS receivers and measuring water surface elevations along the water\'s edge and bed elevations within the channel; depths were calculated by subtracting bed elevations from the nearest water surface elevation. For the deeper areas representing most of the channel, depths were recorded along a series of cross-sections by a SonTek RiverSurveyor S5 acoustic Doppler current profiler (ADCP) and an Ohmex SonarMite echo sounder, both deployed from a jet boat. \n\nThe spatial location of each measurement was obtained via GPS receivers: Trimble R8 and R10 RTK rovers for the wading and echo sounder measurements and a differential GPS included as part of the RiverSurveyor S5 ADCP instrument package. The map projection and datum for these data are UTM Zone 10 N and NAD83, respectively. The wading-, echo sounder-, and ADCP-based depth measurements were cross-calibrated to one another and are combined for the purposes of this data release, which consists of a comma-delimited (*.csv) text file with three columns: East_m, North_m, and Depth_m; the units of the spatial coordinates and the depths are meters.</procdesc>\n <procdate>20180327</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Carl J Legleiter</cntper>\n <cntorg>USGS Geomorphology and Sediment Transport Laboratory</cntorg>\n </cntperp>\n <cntpos>Research Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>4620 Technology Dr., Suite #400</address>\n <city>Golden</city>\n <state>CO</state>\n <postal>80403</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>303-271-3651</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Sacramento River, Cottonwood Creek, California</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Transverse Mercator</mapprojn>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-123.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000.0</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.001</absres>\n <ordres>0.001</ordres>\n </coordrep>\n <plandu>METERS</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>NAD83</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>SacDepthData</enttypl>\n <enttypd>Text file with depth data in three columns: East_m, North_m, Depth_m; all in units of m. Projection and datum are UTM Zone 10N and NAD83.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>East_m</attrlabl>\n <attrdef>Easting (X) spatial coordinate of the depth measurement in UTM Zone 10N, NAD83</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>567850</rdommin>\n <rdommax>568250</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>North_m</attrlabl>\n <attrdef>Northing (Y) spatial coordinate of the depth measurement in UTM Zone 10N, NAD83</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4469500</rdommin>\n <rdommax>4470800</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Depth_m</attrlabl>\n <attrdef>Measured water depth in meters</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>max</rdommin>\n <rdommax>4.2</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The data you have secured from the U.S. Geological Survey (USGS) database identified as "Depth measurements from the upper Sacramento River in northern California, September 11-14, 2017" have not received USGS approval and as such are provisional and subject to revision. The data are released on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use. Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein.</distliab>\n <techpreq>The data are provided as a *.csv comma-separated text file that can be opened with a text editor such as Notepad, a spreadsheet program such as Excel, or a numerical computing software package such as MATLAB.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20200831</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Carl J Legleiter</cntper>\n <cntorg>U.S. Geological Survey Geomorphology and Sediment Transport Laboratory</cntorg>\n </cntperp>\n <cntpos>Research Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>4620 Technology Dr., Suite #400</address>\n <city>Golden</city>\n <state>CO</state>\n <postal>80403</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>303-271-3651</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS New Jersey Water Science Center](/catalog/item/56df0016e4b015c306fc2aad)
3. [Estimated Annual Agricultural Pesticide Use for Counties of the Conterminous United States, 2013-17 (ver. 2.0, May 2020)](/catalog/folder/5e95c12282ce172707f2524e)
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## Dates
Start Date2013End Date2017Publication Date2019-11-26Revision2020-05-27
## Citation
Wieben, C.M., 2019, Estimated Annual Agricultural Pesticide Use for Counties of the Conterminous United States, 2013-17 (ver. 2.0, May 2020): U.S. Geological Survey data release, https://doi.org/10.5066/P9F2SRYH.
## Summary
This data release provides estimates of annual agricultural use of pesticide compounds in counties of the conterminous United States, for years 2013-17, compiled by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). For all States except California, U.S. Department of Agriculture county-level data for harvested-crop acreage were used in conjunction with proprietary Crop Reporting District-level pesticide-use data to estimate county-level pesticide use. Where Crop Reporting District data were not available or were incomplete, estimated pesticide-use values were calculated with two different methods, resulting in a low and a high estimate based on different assumptions about missing survey data (Thelin \[...\]
## Summary
This data release provides estimates of annual agricultural use of pesticide compounds in counties of the conterminous United States, for years 2013-17, compiled by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). For all States except California, U.S. Department of Agriculture county-level data for harvested-crop acreage were used in conjunction with proprietary Crop Reporting District-level pesticide-use data to estimate county-level pesticide use. Where Crop Reporting District data were not available or were incomplete, estimated pesticide-use values were calculated with two different methods, resulting in a low and a high estimate based on different assumptions about missing survey data (Thelin and Stone, 2013).
Pesticide-use data for California for 2013-17 were obtained from the online Department of Pesticide Regulation Pesticide Use Reporting (DPR–PUR) database (California Department of Pesticide Regulation, variously dated). The California county data were appended after the estimation process was completed for the rest of the Nation.
Estimates of annual agricultural pesticide use are provided as downloadable, tab-delimited files, organized by compound, year, state Federal Information Processing Standard (FIPS) code, county Federal Information Processing Standard code, and amount in kilograms (kg). This data release contains estimates of annual agricultural pesticide use for 2013-17 along with associated metadata. This data release is a continuation of the 1992-2009 pesticide-use estimates reported by Stone (2013) and the 2008-2012 pesticide-use estimates reported by Baker and Stone (2015). Tables of annual agricultural pesticide use estimates for 1992-2012 are available for download on the Pesticide National Synthesis Project (PNSP) webpage: https://doi.org/doi:10.5066/F7NP22KM.
Beginning 2015, the provider of the surveyed pesticide data used to derive the county-level use estimates discontinued making estimates for seed treatment application of pesticides because of complexity and uncertainty. Pesticide-use estimates prior to 2015 include estimates with seed treatment application.
Data for some compounds were missing from the version 1 estimates. Pesticide use estimates for compounds with missing data have been updated in version 2.0.
First posted November 26, 2019
Revised May 27, 2020, ver. 2.0
References cited:
Baker, N.T., and Stone, W.W., 2015, Estimated annual agricultural pesticide use for counties of the conterminous United States, 2008–12: U.S. Geological Survey Data Series 907, 9 p., accessed July 12, 2015, at https://doi.org/10.3133/ds907.
California Department of Pesticide Regulation, variously dated, Pesticide use reporting (PUR): California Department of Pesticide Regulation Pesticide Use Reporting (PUR), Pesticide Use Report Data (PUR archives pur2013.zip, pur2014.zip, pur2015.zip, pur2016.zip, pur2017.zip), accessed June 26, 2019, at http://www.cdpr.ca.gov/docs/pur/purmain.htm.
Stone, W.W., 2013, Estimated annual agricultural pesticide use for counties of the conterminous United States, 1992–2009: U.S. Geological Survey Data Series 752, 1-p. pamphlet, 14 tables, accessed July 12, 2015, at http://pubs.usgs.gov/ds/752/.
Thelin, G.P., and Stone, W.W., 2013, Estimation of annual agricultural pesticide use for counties of the conterminous United States, 1992–2009: U.S. Geological Survey Scientific Investigations Report 2013–5009, 54 p., accessed July 12, 2015, at http://pubs.usgs.gov/sir/2013/5009/.
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## Contacts
Data Owner
:
[National Water Quality Program](/catalog/catalogParty/show?partyId=17118)
Author
:
[Christine M. Wieben](/catalog/catalogParty/show?partyId=Christine+M.+Wieben)
Metadata Contact
:
[Christine M Wieben](/catalog/catalogParty/show?partyId=Christine+M+Wieben),
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
SDC Data Owner
:
[New Jersey Water Science Center](/catalog/catalogParty/show?partyId=17210)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
Distributor
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## Purpose
Pesticide-use estimates from this dataset were compiled for U.S. Geological Survey water-quality studies and are suitable for making national, regional, and watershed assessments of annual pesticide use.
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## Provenance
Revision 2.0 by Christine M. Wieben on May 27, 2020. To review the changes that were made, see “Version\_history\_2.0\_county.txt” in the attached files section.
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| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9F2SRYH |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Christine M. Wieben</origin>\n <pubdate>2020</pubdate>\n <title>Estimated Annual Agricultural Pesticide Use for Counties of the Conterminous United States, 2013-17 (ver. 2.0, May 2020)</title>\n <geoform>Tabular Digital Data</geoform>\n <serinfo>\n <sername>Data release</sername>\n <issue>version 2.0</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Wieben, C.M., 2019, Estimated Annual Agricultural Pesticide Use for Counties of the Conterminous United States, 2013-17 (ver. 2.0, May 2020): U.S. Geological Survey data release, https://doi.org/10.5066/P9F2SRYH.</othercit>\n <onlink>https://doi.org/10.5066/P9F2SRYH</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This data release provides estimates of annual agricultural use of pesticide compounds in counties of the conterminous United States, for years 2013-17, compiled by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). For all States except California, U.S. Department of Agriculture county-level data for harvested-crop acreage were used in conjunction with proprietary Crop Reporting District-level pesticide-use data to estimate county-level pesticide use. Where Crop Reporting District data were not available or were incomplete, estimated pesticide-use values were calculated with two different methods, resulting in a low and a high estimate based on different assumptions about missing survey data (Thelin and Stone, 2013).\n\nPesticide-use data for California for 2013-17 were obtained from the online Department of Pesticide Regulation Pesticide Use Reporting (DPR\xe2\x80\x93PUR) database (California Department of Pesticide Regulation, variously dated). The California county data were appended after the estimation process was completed for the rest of the Nation.\n\nEstimates of annual agricultural pesticide use are provided as downloadable, tab-delimited files, organized by compound, year, state Federal Information Processing Standard (FIPS) code, county Federal Information Processing Standard code, and amount in kilograms (kg). This data release contains estimates of annual agricultural pesticide use for 2013-17 along with associated metadata. This data release is a continuation of the 1992-2009 pesticide-use estimates reported by Stone (2013) and the 2008-2012 pesticide-use estimates reported by Baker and Stone (2015). Tables of annual agricultural pesticide use estimates for 1992-2012 are available for download on the Pesticide National Synthesis Project (PNSP) webpage: https://doi.org/doi:10.5066/F7NP22KM.\n\nBeginning 2015, the provider of the surveyed pesticide data used to derive the county-level use estimates discontinued making estimates for seed treatment application of pesticides because of complexity and uncertainty. Pesticide-use estimates prior to 2015 include estimates with seed treatment application.\n\nData for some compounds were missing from the version 1 estimates. Pesticide use estimates for compounds with missing data have been updated in version 2.0.\n\nFirst posted November 26, 2019\nRevised May 27, 2020, ver. 2.0\n\nReferences cited:\n\nBaker, N.T., and Stone, W.W., 2015, Estimated annual agricultural pesticide use for counties of the conterminous United States, 2008\xe2\x80\x9312: U.S. Geological Survey Data Series 907, 9 p., accessed July 12, 2015, at https://doi.org/10.3133/ds907.\n\nCalifornia Department of Pesticide Regulation, variously dated, Pesticide use reporting (PUR): California Department of Pesticide Regulation Pesticide Use Reporting (PUR), Pesticide Use Report Data (PUR archives pur2013.zip, pur2014.zip, pur2015.zip, pur2016.zip, pur2017.zip), accessed June 26, 2019, at http://www.cdpr.ca.gov/docs/pur/purmain.htm.\n\nStone, W.W., 2013, Estimated annual agricultural pesticide use for counties of the conterminous United States, 1992\xe2\x80\x932009: U.S. Geological Survey Data Series 752, 1-p. pamphlet, 14 tables, accessed July 12, 2015, at http://pubs.usgs.gov/ds/752/.\n\nThelin, G.P., and Stone, W.W., 2013, Estimation of annual agricultural pesticide use for counties of the conterminous United States, 1992\xe2\x80\x932009: U.S. Geological Survey Scientific Investigations Report 2013\xe2\x80\x935009, 54 p., accessed July 12, 2015, at http://pubs.usgs.gov/sir/2013/5009/.</abstract>\n <purpose>Pesticide-use estimates from this dataset were compiled for U.S. Geological Survey water-quality studies and are suitable for making national, regional, and watershed assessments of annual pesticide use.</purpose>\n <supplinf>For all states except California, pesticide-use data were obtained from proprietary surveys of farm operations within U.S. Department of Agriculture (USDA) Crop Reporting Districts (CRDs). CRDs represent a collection of contiguous counties within a State. The survey data are based on agricultural pesticide-use surveys of farm operations distributed throughout the conterminous United States (Baker and Stone, 2015; Kynetec AgroTrak, written commun., annually 2014, 2015, 2016, 2017, 2018). Survey data were used to calculate pesticide use per crop acre, or an 'estimated pesticide use' (EPest) rate, for each pesticide compound used in a CRD. County-use estimates were then calculated by multiplying EPest rates by harvested-crop acres for each pesticide-crop combination in the CRD by year for 2013-17; annual harvested-crop acres were reported by the USDA 2012 and 2017 Census of Agriculture (Ag Census) (U.S. Department of Agriculture, 2014, 2019) and the 2013-16 USDA National Agricultural Statistics (NASS) County Agricultural Production Survey (CAPS) (U.S. Department of Agriculture-National Agricultural Statistics Service, variously dated). The methods documented in this report summarize the more detailed methods developed and described by Thelin and Stone (2013) and updated by Baker and Stone (2015).\n\nTwo different estimates, EPest-low and EPest-high, provide a range of pesticide-use rates (Thelin and Stone, 2013 and Baker and Stone, 2015) where a pesticide-use rate is not available for a crop from a CRD. Both methods incorporated surveyed and extrapolated rates to estimate pesticide use for counties, but EPest-low and EPest-high estimation procedures differed in how they treated situations in which a CRD was surveyed and pesticide use was not reported (missing) for a particular pesticide-by-crop combination. The EPest-low estimate is assigned a null value (blank) when there is not enough information to determine whether use occurred but was not captured by the survey or whether use did not occur for that pesticide and crop. EPest-high, however, treats missing data for surveyed CRDs as pesticide use likely to occur and therefore calculates a use rate from neighboring CRDs or CRDs within the same region to estimate the pesticide-by-crop use. This method is described in detail by Thelin and Stone (2013). The EPest-high estimate is based generally on the median of reported pesticide-by-crop use rates from surveyed farmers in neighboring CRDs and, in some cases, CRDs within the same USDA Farm Resource Region (Thelin and Stone, 2013). EPest-low annual-use totals can be greater than EPest-high totals when the low method of estimation concentrates the use to a particular geographic area while the high method spreads the use over a larger geographic area. There is uncertainty in both the high and low estimates that is difficult to quantify. A user should become familiar with the two methods to decide which estimate is best for a specific application.\n\nCounty annual harvested-crop acres reported in the 2012 and 2017 Ag Census (U.S. Department of Agriculture, 2014, 2019) and 2013-16 CAPS (U.S. Department of Agriculture-National Agricultural Statistics Service, variously dated) were used in this compilation. The Ag Census is the most uniform and complete source of crop-acre estimates for all counties in the United States. The Ag Census is published every 5th year, with CAPS reporting crop-acre estimates for selected crops and counties for interim Ag Census years.\n\nFor many crops, CAPS data were not available for any county for the inter-Ag Census period (2013-16). For the 2013-17 estimates, acreages for crops not surveyed by CAPS were interpolated linearly between Ag Census years 2012 and 2017. The 2012 Ag Census data were used in the interpolation; however, the 2012 estimates are not included in this dataset because they are already published in Baker and Stone (2015).\n\nPesticide-use data for California for 2013-17 were obtained from the online Department of Pesticide Regulation Pesticide Use Reporting (DPR\xe2\x80\x93PUR) database (California Department of Pesticide Regulation, variously dated) and were appended to data for the rest of the Nation after the estimation process described above. Use estimates for California were compiled without extrapolation; therefore, EPest-low and EPest-high rates are the same for counties in California.\n\nAdditional references cited in the Supplemental Information section: \n\nU.S. Department of Agriculture, 2014, State and county data, Geographic area series parts 1\xe2\x80\x9350, AC\xe2\x80\x9312\xe2\x80\x93A\xe2\x80\x931\xe2\x80\x94AC\xe2\x80\x9312\xe2\x80\x93A\xe2\x80\x9350: U.S. Department of Agriculture 2017 Census of Agriculture, v. 1, accessed May 19, 2014, at http://www.agcensus.usda.gov/Publications/2012/.\n\nU.S. Department of Agriculture, 2019, State and county data, Geographic area series parts 1\xe2\x80\x9350, AC\xe2\x80\x9317\xe2\x80\x93A\xe2\x80\x931\xe2\x80\x94AC\xe2\x80\x9317\xe2\x80\x93A\xe2\x80\x9350: U.S. Department of Agriculture 2017 Census of Agriculture, v. 1, accessed May 22, 2019, at http://www.agcensus.usda.gov/Publications/2017/.\n\nU.S. Department of Agriculture, National Agricultural Statistics Service, variously dated, Field crops: U.S. Department of Agriculture Quick Stats database (years 2013, 2014, 2015, 2016, 2017), accessed June 11, 2019, at http://www.nass.usda.gov/Quick_Stats/.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2013</begdate>\n <enddate>2017</enddate>\n </rngdates>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-125.77148437357</westbc>\n <eastbc>-65.830078125965</eastbc>\n <northbc>49.35346768179</northbc>\n <southbc>23.523294619068</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>pesticide</themekey>\n <themekey>water</themekey>\n <themekey>pesticide use</themekey>\n <themekey>Census of Agriculture</themekey>\n <themekey>Crop Reporting District</themekey>\n <themekey>crops</themekey>\n <themekey>National Water Quality Program</themekey>\n <themekey>NAWQA</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>agriculture</themekey>\n <themekey>water quality</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>environment</themekey>\n <themekey>geoscientificInformation</themekey>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5e95c12282ce172707f2524e</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System</placekt>\n <placekey>United States</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Christine M Wieben</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>3450 Princeton Pike Suite 110</address>\n <city>Lawrenceville</city>\n <state>New Jersey</state>\n <postal>08648</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>609-406-3817</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>This work was done to support analyses by the National Water Quality Assessment Project, National Water Quality Program of the U.S. Geological Survey</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1 Esri ArcGIS 10.2.2 (Build 3552)</native>\n <crossref>\n <citeinfo>\n <origin>Nancy T. Baker</origin>\n <origin>Wesley W. Stone</origin>\n <pubdate>2015</pubdate>\n <title>Estimated annual agricultural pesticide use for counties of the conterminous United States, 2008\xe2\x80\x9312</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Data Series</sername>\n <issue>907</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <othercit>Baker, N.T., and Stone, W.W., 2015, Estimated annual agricultural pesticide use for counties of the conterminous United States, 2008\xe2\x80\x9312: U.S. Geological Survey Data Series 907, 9 p., https://doi.org/10.3133/ds907.</othercit>\n <onlink>https://doi.org/10.3133/ds907</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Wesley W. Stone</origin>\n <pubdate>2013</pubdate>\n <title>Estimated annual agricultural pesticide use for counties of the conterminous United States, 1992\xe2\x80\x932009</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Data Series</sername>\n <issue>752</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <othercit>Stone, W.W., 2013, Estimated annual agricultural pesticide use for counties of the conterminous United States, 1992\xe2\x80\x932009: U.S. Geological Survey Data Series 752, 1-p. pamphlet, 14 tables.</othercit>\n <onlink>https://pubs.usgs.gov/ds/752/</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Gail P. Thelin</origin>\n <origin>Wesley W. Stone</origin>\n <pubdate>2013</pubdate>\n <title>Estimated annual agricultural pesticide use for counties of the conterminous United States, 1992\xe2\x80\x932009</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Scientific Investigations Report</sername>\n <issue>2013-5009</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <othercit>Thelin, G.P., and Stone, W.W., 2013, Estimation of annual agricultural pesticide use for counties of the conterminous United States, 1992\xe2\x80\x932009: U.S. Geological Survey Scientific Investigations Report 2013-5009, 54 p.</othercit>\n <onlink>https://pubs.usgs.gov/sir/2013/5009/</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the dataset has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the dataset has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Kynetec</origin>\n <pubdate>2018</pubdate>\n <title>Kynetec AgroTrak</title>\n <geoform>Digital Resources</geoform>\n <pubinfo>\n <pubplace>Kynetec</pubplace>\n <publish>written communication</publish>\n </pubinfo>\n <onlink>Proprietary data; no link provided</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Observed/Measured</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20130101</begdate>\n <enddate>20171231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Kynetec</srccitea>\n <srccontr>Proprietary farm survey data on amounts of pesticides applied to individual crops by Crop Reporting District</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Department of Agriculture</origin>\n <pubdate>2014</pubdate>\n <title>2012 Census of Agriculture, State and County Data Volume 1, Geographic Area Series Part 1-50, AC-12-A-1--AC-12-A-50</title>\n <geoform>Tabular digital data</geoform>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>U.S. Department of Agriculture</publish>\n </pubinfo>\n <onlink>http://www.agcensus.usda.gov/Publications/2012/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2012</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>AgCensus</srccitea>\n <srccontr>Source information, in the form of county-level crop acres, used in support of the development of the dataset.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Department of Agriculture</origin>\n <pubdate>2019</pubdate>\n <title>2017 Census of Agriculture, State and County Data Volume 1, Geographic Area Series Part 1-50, AC-17-A-1--AC-17-A-50</title>\n <geoform>Tabular digital data</geoform>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>U.S. Department of Agriculture</publish>\n </pubinfo>\n <onlink>http://www.agcensus.usda.gov/Publications/2017/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2017</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>AgCensus</srccitea>\n <srccontr>Source information, in the form of county-level crop acres, used in support of the development of the dataset.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Department of Agriculture</origin>\n <pubdate>2019</pubdate>\n <title>U.S. Department of Agriculture-National Agricultural Statistics Service,</title>\n <geoform>Tabular digital data</geoform>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>U.S. Department of Agriculture</publish>\n </pubinfo>\n <onlink>http://www.nass.usda.gov/Quick_Stats/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20130101</begdate>\n <enddate>20171231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>CAPS</srccitea>\n <srccontr>Source information, in the form of county-level crop acres, used in support of the development of the dataset.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>California Department of Pesticide Regulation</origin>\n <pubdate>2019</pubdate>\n <title>Pesticide use reporting\xe2\x80\x94summary data: California Department of Pesticide Regulation Pesticide Use Reporting (PUR) database</title>\n <geoform>Tabular digital data</geoform>\n <pubinfo>\n <pubplace>Sacramento, CA</pubplace>\n <publish>California Department of Pesticide Regulation</publish>\n </pubinfo>\n <onlink>http://www.cdpr.ca.gov/docs/pur/purmain.htm</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20130101</begdate>\n <enddate>20171231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>DPR-PUR</srccitea>\n <srccontr>Annual agricultural pesticide use data for counties in California</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>For all States except California, pesticide-use data compiled by proprietary surveys of farm operations located within U.S. Department of Agriculture (USDA) Crop Reporting Districts (CRDs)\xe2\x80\x94a collection of contiguous counties within each State\xe2\x80\x94were used to calculate pesticide per crop acre, or an \xe2\x80\x9cestimated pesticide use\xe2\x80\x9d (EPest) rate, for each pesticide compound used in a CRD.</procdesc>\n <procdate>20190730</procdate>\n </procstep>\n <procstep>\n <procdesc>County-use estimates were then calculated by multiplying EPest rates by harvested-crop acres for each pesticide-by-crop combination in each county with annual harvested-crop acres. County annual harvested-crop acres reported by the USDA 2012 and 2017 Census of Agriculture (Ag Census) (U.S. Department of Agriculture, 2014, 2019) and USDA National Agricultural Statistics (NASS) County Agricultural Production Survey (CAPS) (U.S. Department of Agriculture--National Agricultural Statistics Service, variously dated) were used in this compilation. Estimates were produced using SAS software. \n\nFor the 2013-17 estimates, acreages for crops not surveyed by CAPS were interpolated linearly between Ag Census years 2012 and 2017.</procdesc>\n <procdate>20190730</procdate>\n </procstep>\n <procstep>\n <procdesc>Where a pesticide-use rate is not available for a crop from a CRD, both EPest-low and EPest-high estimates were made to provide a range of pesticide-use rates (Thelin and Stone, 2013 and Baker and Stone, 2015). Both methods incorporated surveyed and extrapolated rates to estimate pesticide use for counties, but EPest-low and EPest-high estimation procedures differed in how they treated situations in which a CRD was surveyed and pesticide use was not reported (missing) for a particular pesticide-by-crop combination. The EPest-low estimate is assigned a null value (blank) when there is not enough information to determine whether use occurred but was not captured by the survey or whether use did not occur for that pesticide and crop. EPest-high, however, treats missing data for surveyed CRDs as pesticide use likely to occur and therefore calculates a use rate from neighboring CRDs or CRDs within the same region to estimate the pesticide-by-crop use.</procdesc>\n <procdate>20190730</procdate>\n </procstep>\n <procstep>\n <procdesc>Append California pesticide-use estimates to estimates compiled for the rest of the nation.</procdesc>\n <procdate>20190807</procdate>\n </procstep>\n <procstep>\n <procdesc>The original dataset was incomplete. Data for select compounds were missing from the original (version 1) pesticide use estimates. Pesticide use estimates were reprocessed following the above steps and pesticide use estimates for compounds with missing data have been updated in version 2.0. Specifically:\n\n1. The following compounds were missing from the original pesticide use estimates for years 2013-17, for states except California. Pesticide use for the missing compounds has been added to the version 2.0 estimates. Note: there are no pesticide use estimates for these compounds for 2017.\nAMETRYN, ASULAM, AZINPHOS-METHYL, BACILLUS FIRMUS, BACTERIOPHAGE, CARBOXIN, DISULFOTON, ENDOSULFAN, FENAMIPHOS, FORAMSULFURON, HYMEXAZOL, IMAZALIL, IMAZAPYR, IPCONAZOLE, MANEB, METHAMIDOPHOS, NAPTALAM, PASTEURIA NISHIZAWAE, PENFLUFEN, PINOLENE, SEDAXANE, SUCROSE OCTANOATE, TCMTB, TEBUFENOZIDE, THIAZOPYR, TOLCLOFOS-METHYL, TRIADIMENOL, TRINEXAPAC, TRITICONAZOLE\n\n2. The following compounds had incomplete estimates in the original pesticide use estimates as a result of missing use estimates for sugarcane for years 2013-17. Pesticide use on sugarcane has been added to the version 2.0 estimates for 2013-17.\n2,4-D, ATRAZINE, AZOXYSTROBIN, CHLORANTRANILIPROLE, CHLORIMURON, CLOMAZONE, CLOPYRALID, CYFLUTHRIN, CYHALOTHRIN-LAMBDA, DICAMBA, DIURON, FLUBENDIAMIDE, FLUMIOXAZIN, FLUXAPYROXAD, GLYPHOSATE, HALOSULFURON, HEXAZINONE, IMIDACLOPRID, MESOTRIONE, METCONAZOLE, METRIBUZIN, NOVALURON, PARAQUAT, PENDIMETHALIN, PHORATE, PROPICONAZOLE, PYRACLOSTROBIN, SULFENTRAZONE, TERBACIL, TRIFLOXYSTROBIN, TRIFLOXYSULFURON, TRIFLURALIN</procdesc>\n <procdate>20200211</procdate>\n </procstep>\n <procstep>\n <procdesc>The metadata were updated.</procdesc>\n <procdate>20200520</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>EPest_county_estimates_2013_2017_v2.txt</enttypl>\n <enttypd>County-level estimates of annual agricultural pesticide use. This table contains 2,004,805 records.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>COMPOUND</attrlabl>\n <attrdef>Common name for the pesticide compound active ingredient</attrdef>\n <attrdefs>Kynetec</attrdefs>\n <attrdomv>\n <udom>Pesticide compound active ingredients for which use estimates were calculated</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>YEAR</attrlabl>\n <attrdef>Calendar year for which pesticide use was estimated</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2013</rdommin>\n <rdommax>2017</rdommax>\n <attrunit>calendar year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>STATE_FIPS_CODE</attrlabl>\n <attrdef>A standard two-digit identifier code for each state in the United States</attrdef>\n <attrdefs>Federal Information Processing Standard developed by the U.S. federal government National Institute of Standards and Technology</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>2017 State, County, Minor Civil Division and Incorporated Place FIPS Codes</codesetn>\n <codesets>https://www.census.gov/geographies/reference-files/2017/demo/popest/2017-fips.html</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>COUNTY_FIPS_CODE</attrlabl>\n <attrdef>A standard five-digit identifier code for each county in the United States (the first two digits are the FIPS state code. Only the three-digit county designations are given in this attribute.)</attrdef>\n <attrdefs>Federal Information Processing Standard developed by the U.S. federal government National Institute of Standards and Technology</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>2017 State, County, Minor Civil Division and Incorporated Place FIPS Codes</codesetn>\n <codesets>https://www.census.gov/geographies/reference-files/2017/demo/popest/2017-fips.html</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EPEST_LOW_KG</attrlabl>\n <attrdef>Estimated pesticide use (low estimate), in kilograms. See 'Process Step' for more information on how low estimates were calculated. Null (blank) values indicate no use was estimated while zero values (0) indicate use was less than 0.01 kg.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>5,569,200.7</rdommax>\n <attrunit>kilograms</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EPEST_HIGH_KG</attrlabl>\n <attrdef>Estimated pesticide use (high estimate), in kilograms. See 'Process Step' for more information on how high estimates were calculated. Zero values (0) indicate use was less than 0.01 kg.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>5,569,200.7</rdommax>\n <attrunit>kilograms</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey - ScienceBase</cntper>\n <cntorg>USGS</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it may also contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of this data are advised to read all metadata and associated documentation to understand appropriate use and data limitations.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Tab-delimited text file</formname>\n <formvern>none</formvern>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9F2SRYH</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the dataset.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20220810</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>GS-W-NJ DataRelease</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>3450 Princeton Pike Suite 110</address>\n <city>Lawrenceville</city>\n <state>New Jersey</state>\n <postal>08648</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>609-406-3817</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
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3. [Composite Burn Index (CBI) Data for the Conterminous US, Collected Between 1996 and 2018](/catalog/folder/5d963705e4b0c4f70d110ee6)
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## Dates
Publication Date2019-10-07Start Date1996-09-18End Date2018-09-14
## Citation
Picotte, J., Arkle, R.S., Bastian, H., Benson, N., Cansler, A., Caprio, T., Dillon, G., Key, C., Klein, R.N., Kolden, C.A., Kopper, K., Lutz, J.A., Meddens, A.J.H., Ohlen, D., Parks, S.A., Peterson, D.W., Pilliod, D., Prichard, S., Robertson, K., Sparks, A., and Thode, A., 2019, Composite Burn Index (CBI) Data for the Conterminous US, Collected Between 1996 and 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P91BH1BZ.
## Summary
These data provide on the ground estimates of burn severity as estimated by the Composite Burn Index (CBI). Data were collected between 1996 and 2018 for fires that burned during this time period. Landsat imagery was used to develop regression relationships between the Normalized Burn Ratio (NBR) and differenced NBR (dNBR).
## Summary
These data provide on the ground estimates of burn severity as estimated by the Composite Burn Index (CBI). Data were collected between 1996 and 2018 for fires that burned during this time period. Landsat imagery was used to develop regression relationships between the Normalized Burn Ratio (NBR) and differenced NBR (dNBR).
## Contacts
Point of Contact
:
[Joshua J Picotte (CTR)](/catalog/catalogParty/show?partyId=24197)
Originator
:
[Joshua J Picotte](/catalog/catalogParty/show?partyId=Joshua+J+Picotte),
[Robert Arkle](/catalog/catalogParty/show?partyId=298),
[Henry Bastian](/catalog/catalogParty/show?partyId=Henry+Bastian),
[Nate Benson](/catalog/catalogParty/show?partyId=Nate+Benson),
[Alina Cansler](/catalog/catalogParty/show?partyId=Alina+Cansler),
[Tony Caprio](/catalog/catalogParty/show?partyId=Tony+Caprio),
[Greg Dillon](/catalog/catalogParty/show?partyId=Greg+Dillon),
[Carl H Key](/catalog/catalogParty/show?partyId=5442),
[Robert N. Klein](/catalog/catalogParty/show?partyId=Robert+N.+Klein),
[Crystal A. Kolden](/catalog/catalogParty/show?partyId=Crystal+A.+Kolden),
[Karen Kopper](/catalog/catalogParty/show?partyId=Karen+Kopper),
[James A. Lutz](/catalog/catalogParty/show?partyId=James+A.+Lutz),
[Arjan J.H. Meddens](/catalog/catalogParty/show?partyId=Arjan+J.H.+Meddens),
[Donald O Ohlen](/catalog/catalogParty/show?partyId=7664),
[Sean A. Parks](/catalog/catalogParty/show?partyId=Sean+A.+Parks),
[Dave W. Peterson](/catalog/catalogParty/show?partyId=Dave+W.+Peterson),
[David Pilliod](/catalog/catalogParty/show?partyId=8129),
[Susan Prichard](/catalog/catalogParty/show?partyId=Susan+Prichard),
[Kevin Robertson](/catalog/catalogParty/show?partyId=Kevin+Robertson),
[Aaron Sparks](/catalog/catalogParty/show?partyId=Aaron+Sparks),
[Andrea Thode](/catalog/catalogParty/show?partyId=Andrea+Thode)
Metadata Contact
:
[Joshua J Picotte (CTR)](/catalog/catalogParty/show?partyId=Joshua+J+Picotte+%28CTR%29)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[Earth Resources Observation and Science (EROS) Center](/catalog/catalogParty/show?partyId=17122)
USGS Mission Area
:
[Land Resources](/catalog/catalogParty/show?partyId=Land+Resources)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5d963705e4b0c4f70d110ee6?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5d963705e4b0c4f70d110ee6?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5d963705e4b0c4f70d110ee6?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
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| cbi\_data\_review\_v4.zip | | 509.84 KB | application/zip |
## Purpose
These data were collected between 1996 and 2018 to represent the on the ground burn severity as estimated by the Composite Burn Index (CBI). These data can be regressed against satellite estimates of burn severity (e.g. Landsat Normalized Burn Ratio) to develop regression equations.
## [Map](/catalog/item/imap/5d963705e4b0c4f70d110ee6)
[](/catalog/item/imap/5d963705e4b0c4f70d110ee6)
## Communities
- USGS Data Release Products
## Associated Items
- _related_ [Composite Burn Index (CBI) Data for the Conterminous US (ver. 3.0, March 2023)](/catalog/item/6284e128d34e3bef0c9a51c4 "See Composite Burn Index (CBI) Data for the Conterminous US, Collected Between 1996 and 2018 for metadata and related information about the CBI information. ")
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## Tags
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Theme
- [Burn Severity](/catalog/items?q=&filter=tags%3DBurn+Severity "Burn Severity (Burn Severity, Theme, None)")
- [biota](/catalog/items?q=&filter=tags%3Dbiota "biota (biota, Theme, ISO 19115 Topic Category)")
- [fire damage](/catalog/items?q=&filter=tags%3Dfire+damage "fire damage (fire damage, Theme, USGS Thesaurus)")
- [fires](/catalog/items?q=&filter=tags%3Dfires "fires (fires, Theme, USGS Thesaurus)")
- [location](/catalog/items?q=&filter=tags%3Dlocation "location (location, Theme, ISO 19115 Topic Category)")
- [remote sensing](/catalog/items?q=&filter=tags%3Dremote+sensing "remote sensing (remote sensing, Theme, USGS Thesaurus)")
Place
- [United States](/catalog/items?q=&filter=tags%3DUnited+States "United States (United States, Place, Getty Thesaurus of Geographic Names)")
USGS Scientific Topic Keyword
- [Geography](/catalog/items?q=&filter=tags%3DGeography "Geography (Geography, USGS Scientific Topic Keyword, )")
- [Land Use Change](/catalog/items?q=&filter=tags%3DLand+Use+Change "Land Use Change (Land Use Change, USGS Scientific Topic Keyword, )")
- [Remote Sensing](/catalog/items?q=&filter=tags%3DRemote+Sensing "Remote Sensing (Remote Sensing, USGS Scientific Topic Keyword, )")
## Provenance
Joshua J Picotte initiated a Level 1 revision on November 23, 2020
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P91BH1BZ |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Joshua Picotte, Fire Specialist, ASRC Federal Data Solutions, contractor to USGS EROS, 47914 252nd Street, Sioux Falls, SD 57198</origin>\n <origin>Robert S. Arkle, USGS Forest and Rangeland Ecosystem Science Center, 970 Lusk Street Boise, Idaho 83706</origin>\n <origin>Henry Bastian, DOI, Office of Wildland Fire PRE - Public Safety, Resource Protection & Emergency Services 300 E Mallard Dr. Suite 170, Boise, ID 83706</origin>\n <origin>Nate Benson, National Park Service, Boise, Idaho 83705-5354</origin>\n <origin>Alina Cansler, Missoula Fire Science Lab, 5775 W Broadway St, Missoula, MT, 59808</origin>\n <origin>Tony Caprio, Sequoia and Kings Canyon National Parks, 47050 Generals Highway Three Rivers, CA 93271</origin>\n <origin>Greg Dillon, USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Lab, Missoula, MT 59808</origin>\n <origin>Carl Key, Retired</origin>\n <origin>Robert N. Klein, Fire Ecologist, National Park Service, Great Smoky Mountains National Park, Gatlinburg, TN 37738</origin>\n\t\t<origin>Crystal A. Kolden, Management of Complex Systems, University of California, Merced, 5200 North Lake Road, Merced, California, 95343</origin>\n <origin>Karen Kopper, University of Washington, School of Environmental and Forest Sciences, P.O. Box 352100, Seattle, WA 98195-2100</origin>\n\t\t<origin>James A. Lutz, S.J. and Jessie E. Quinney College of Natural Resources, Utah State University, 5230 Old Main Hill, Logan, UT 84322-5230</origin>\n <origin>Arjan J.H. Meddens,School of the Environment, Washington State University, PO Box 642812, Pullman, WA 99164-2812</origin>\n <origin>Don Ohlen, Retired</origin>\n <origin>Sean A. Parks, Aldo Leopold Wilderness Research Institute, Rocky Mountain Research Station, US Forest Service, Missoula, MT 59801</origin>\n <origin>Dave W. Peterson, Research Forester, Wenatchee Forestry Sciences Laboratory,1133 N Western Avenue Wenatchee, WA 98801</origin>\n <origin>David Pilliod, Supervisory Research Ecologist, USGS Forest and Rangeland Ecosystem Science Center, 970 Lusk Street Boise, Idaho 83706</origin>\n <origin>Susan Prichard, Research Scientist, University of Washington School of Environmental and Forest Sciences, Box 352100 Seattle, WA 98195</origin>\n <origin>Kevin Robertson, Fire Ecology Program Director, Tall Timbers Research Station, 13093 Henry Beadel Dr, Tallahassee, FL 32312</origin>\n <origin>Aaron Sparks, Department of Forest, Rangeland, and Fire Sciences, University of Idaho, Moscow, ID 83843, USA</origin>\n <origin>Andrea Thode, Professor, School of Forestry, Northern Arizona University</origin>\n <pubdate>20191007</pubdate>\n <title>Composite Burn Index (CBI) Data for the Conterminous US, Collected Between 1996 and 2018</title>\n <geoform>Vector Digital Data Set (Point)</geoform>\n <pubinfo>\n <pubplace>Sioux Falls, SD</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P91BH1BZ</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>These data provide on the ground estimates of burn severity as estimated by the Composite Burn Index (CBI). Data were collected between 1996 and 2018 for fires that burned during this time period. Landsat imagery was used to develop regression relationships between the Normalized Burn Ratio (NBR) and differenced NBR (dNBR).</abstract>\n <purpose>These data were collected between 1996 and 2018 to represent the on the ground burn severity as estimated by the Composite Burn Index (CBI). These data can be regressed against satellite estimates of burn severity (e.g. Landsat Normalized Burn Ratio) to develop regression equations.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>19960918</begdate>\n <enddate>20180914</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-126.4064</westbc>\n <eastbc>-75.2480</eastbc>\n <northbc>49.2449</northbc>\n <southbc>24.7989</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n <themekey>location</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>fires</themekey>\n <themekey>fire damage</themekey>\n <themekey>remote sensing</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Burn Severity</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d963705e4b0c4f70d110ee6</themekey>\n </theme>\n <place>\n <placekt>Getty Thesaurus of Geographic Names</placekt>\n <placekey>United States</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Joshua J Picotte (CTR) Vector Digital Data Set (Point)</cntper>\n <cntorg>U.S. Geological Survey, CLIMATE & LAND-USE</cntorg>\n </cntperp>\n <cntpos>Fire Specialist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>47914 252nd Street</address>\n <city>Sioux Falls</city>\n <state>SD</state>\n <postal>57198</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>605-594-2677</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>National Park Service, Joint Fire Science Program, United States Geographical Survey, USDA Forest Service</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1 (Build 7333) Service Pack N/A (Build N/A)</native>\n <crossref>\n <citeinfo>\n <origin>C. Alina Cansler</origin>\n <origin>Donald McKenzie</origin>\n <pubdate>20120209</pubdate>\n <title>How Robust Are Burn Severity Indices When Applied in a New Region? Evaluation of Alternate Field-Based and Remote-Sensing Methods</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Remote Sensing</sername>\n <issue>vol. 4, issue 2</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>MDPI AG</publish>\n </pubinfo>\n <othercit>ppg. 456-483</othercit>\n <onlink>https://doi.org/10.3390/rs4020456</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Robert S. Arkle</origin>\n <origin>David S. Pilliod</origin>\n <pubdate>201002</pubdate>\n <title>Prescribed fires as ecological surrogates for wildfires: A stream and riparian perspective</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Forest Ecology and Management</sername>\n <issue>vol. 259, issue 5</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Elsevier BV</publish>\n </pubinfo>\n <othercit>ppg. 893-903</othercit>\n <onlink>https://doi.org/10.1016/j.foreco.2009.11.029</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Valentijn Hoff</origin>\n <origin>James P. Riddering</origin>\n <origin>LLoyd P. Queen</origin>\n <origin>Eric G. Gdula</origin>\n <origin>Windy A. Bunn</origin>\n <origin>Casey C. Teske</origin>\n <pubdate>201408</pubdate>\n <title>Changes in Severity Distribution after Subsequent Fires on the North Rim of Grand Canyon National Park, Arizona, USA</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Fire Ecology</sername>\n <issue>vol. 10, issue 2</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Springer Nature</publish>\n </pubinfo>\n <othercit>ppg. 48-63</othercit>\n <onlink>https://doi.org/10.4996/fireecology.1002048</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Arjan J.H. Meddens</origin>\n <origin>Crystal A. Kolden</origin>\n <origin>James A. Lutz</origin>\n <pubdate>201612</pubdate>\n <title>Detecting unburned areas within wildfire perimeters using Landsat and ancillary data across the northwestern United States</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Remote Sensing of Environment</sername>\n <issue>vol. 186</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Elsevier BV</publish>\n </pubinfo>\n <othercit>ppg. 275-285</othercit>\n <onlink>https://doi.org/10.1016/j.rse.2016.08.023</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Jay D. Miller</origin>\n <origin>Andrea E. Thode</origin>\n <pubdate>200707</pubdate>\n <title>Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR)</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Remote Sensing of Environment</sername>\n <issue>vol. 109, issue 1</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Elsevier BV</publish>\n </pubinfo>\n <othercit>ppg. 66-80</othercit>\n <onlink>https://doi.org/10.1016/j.rse.2006.12.006</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Sean Parks</origin>\n <origin>Gregory Dillon</origin>\n <origin>Carol Miller</origin>\n <pubdate>20140227</pubdate>\n <title>A New Metric for Quantifying Burn Severity: The Relativized Burn Ratio</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Remote Sensing</sername>\n <issue>vol. 6, issue 3</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>MDPI AG</publish>\n </pubinfo>\n <othercit>ppg. 1827-1844</othercit>\n <onlink>https://doi.org/10.3390/rs6031827</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Joshua J. Picotte</origin>\n <origin>Kevin M. Robertson</origin>\n <pubdate>2011</pubdate>\n <title>Validation of remote sensing of burn severity in south-eastern US ecosystems</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>International Journal of Wildland Fire</sername>\n <issue>vol. 20, issue 3</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>CSIRO Publishing</publish>\n </pubinfo>\n <othercit>ppg. 453</othercit>\n <onlink>https://doi.org/10.1071/WF10013</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Z. Zhu</origin>\n <origin>C. Key</origin>\n <origin>D. Ohlen</origin>\n <origin>N. Benson</origin>\n <pubdate>20061012</pubdate>\n <title>Evaluate sensitivities of burn-severity mapping algorithms for different ecosystems and fire histories in the United States. U.S.</title>\n <edition>JFSP 01-1-4-12</edition>\n <geoform>publication</geoform>\n <onlink>https://www.researchgate.net/profile/Nate_Benson/publication/241687869_Evaluate_Sensitivities_of_Burn-Severity_Mapping_Algorithms_for_Different_Ecosystems_and_Fire_Histories_in_the_United_States/links/5641440208aec448fa607286.pdf</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Development of the data set by the agency / individuals identified in the 'Originator' element in the Identification Info section of the record.</procdesc>\n <procdate>20190227</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>Entity point</sdtstype>\n <ptvctcnt>5847</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>NAD83 Conus Albers (ESRI Full Name: NAD83_Conus_Albers)</mapprojn>\n <albers>\n <stdparll>29.5</stdparll>\n <stdparll>45.5</stdparll>\n <longcm>-96.0</longcm>\n <latprjo>23.0</latprjo>\n <feast>0.0</feast>\n <fnorth>0.0</fnorth>\n </albers>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.6096</absres>\n <ordres>0.6096</ordres>\n </coordrep>\n <plandu>meters</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D_North_American_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Attribute Table</enttypl>\n <enttypd>Table containing attribute information associated with the data set.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Id</attrlabl>\n <attrdef>Unique identifier for each Composite Burn Index (CBI) plot Id.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Each CBI plot has a unique identifier. Many plot id's are the original one given by the investigator. In other instances, the plot id's were not unique and were subsequently edited.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>X</attrlabl>\n <attrdef>Longitude (x coordinate) of plot each Composite Burn Index (CBI) location.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-2269501.547</rdommin>\n <rdommax>1519920.403</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Y</attrlabl>\n <attrdef>Latitude (y coordinate) of plot each Composite Burn Index (CBI) location.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>464421.1916</rdommin>\n <rdommax>3079479.365</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FireName</attrlabl>\n <attrdef>Federal fire name of each fire event.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Fire names were given by federal agencies. Multiple plots will have assessed the same fire.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FireDate</attrlabl>\n <attrdef>Month/Day/Year of the start of fire.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Month values range from 01-12, day values range from 01-31, and year values range from 1996-2018. For example a given fire date could be 01/01/2018.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FieldDate</attrlabl>\n <attrdef>Month/Day/Year field date of Composite Burn Index (CBI) plot assessement</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Month values range from 01-12, day values range from 01-31, and year values range from 1996-2018. For example a given fire date could be 01/01/2018</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Examiners</attrlabl>\n <attrdef>Full name or name initials of Composite Burn Index (CBI) plot investigators.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Name or initials of investigators. An example of a full name would be John Smith, while the intials of this same name would be JS.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Frg</attrlabl>\n <attrdef>LANDFIRE 2014 Fire Regime Group (FRG)\n\nThe Fire Regime Groups (FRG) were intended to characterize the presumed historical fire regimes within landscapes based on interactions between vegetation dynamics, fire spread, fire effects, and spatial context. FRG definitions have been altered from previous applications to best approximate the definitions outlined in the Interagency Fire Regime Condition Class Guidebook. These definitions were refined to create discrete, mutually exclusive criteria appropriate for use with LANDFIRE's (LF) fire frequency and severity data products.\n\nFRG is created by linking the Biophysical Settings (BPS) Group attribute in the BpS layer with the Refresh Model Tracker (RMT) data and assigning the FRG attribute. This geospatial product should display a reasonable approximation of FRG, as documented in the RMT. (LF 1.0.0 CONUS only used the vegetation and disturbance dynamics model LANDSUM) Fire Management Policy, and the Healthy Forests Restoration Act (https://landfire.gov/fireregime.php, accessed 2/26/2019).\n\nRollins, M. G. (2009). LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment. International Journal of Wildland Fire, 18(3), 235-249.</attrdef>\n <attrdefs>https://landfire.gov/DataDictionary/frg.pdf</attrdefs>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Fire Regime Group I</edomvd>\n <edomvds>https://landfire.gov/DataDictionary/frg.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2</edomv>\n <edomvd>Fire Regime Group II</edomvd>\n <edomvds>https://landfire.gov/DataDictionary/frg.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>3</edomv>\n <edomvd>Fire Regime Group III</edomvd>\n <edomvds>https://landfire.gov/DataDictionary/frg.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>4</edomv>\n <edomvd>Fire Regime Group IV</edomvd>\n <edomvds>https://landfire.gov/DataDictionary/frg.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>5</edomv>\n <edomvd>Fire Regime Group V</edomvd>\n <edomvds>https://landfire.gov/DataDictionary/frg.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11</edomv>\n <edomvd>Water</edomvd>\n <edomvds>https://landfire.gov/DataDictionary/frg.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>31</edomv>\n <edomvd>Barren</edomvd>\n <edomvds>https://landfire.gov/DataDictionary/frg.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>132</edomv>\n <edomvd>Sparsely Vegetated</edomvd>\n <edomvds>https://landfire.gov/DataDictionary/frg.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>133</edomv>\n <edomvd>Indeterminate Fire Regime Characteristics</edomvd>\n <edomvds>https://landfire.gov/DataDictionary/frg.pdf</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Om1</attrlabl>\n <attrdef>Omernick Level I - 12 ecoregions in the continental U.S. (https://www.epa.gov/eco-research/ecoregions, accessed 2/26/2019)\n\nOmernik, J. M. (1987). Ecoregions of the conterminous United States. Annals of the Association of American geographers, 77(1), 118-125.</attrdef>\n <attrdefs>https://www.epa.gov/eco-research/ecoregions-north-america</attrdefs>\n <attrdomv>\n <edom>\n <edomv>6</edomv>\n <edomvd>Northwestern Forested Mountains</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>7</edomv>\n <edomvd>Marine West Coast Forest</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8</edomv>\n <edomvd>Eastern Temperate Forests</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>9</edomv>\n <edomvd>Great Plains</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10</edomv>\n <edomvd>North American Deserts</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11</edomv>\n <edomvd>Mediterranean California</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>13</edomv>\n <edomvd>Temperate Sierras</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>15</edomv>\n <edomvd>Tropical Wet Forests</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Om2</attrlabl>\n <attrdef>Omernick Level II - 25 ecoregions in the continental U.S. (https://www.epa.gov/eco-research/ecoregions, accessed 2/26/2019)\n\nOmernik, J. M. (1987). Ecoregions of the conterminous United States. Annals of the Association of American geographers, 77(1), 118-125.</attrdef>\n <attrdefs>https://www.epa.gov/eco-research/ecoregions-north-america</attrdefs>\n <attrdomv>\n <edom>\n <edomv>6.2</edomv>\n <edomvd>Western Cordillera</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>7.1</edomv>\n <edomvd>Marine West Coast Forest</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8.3</edomv>\n <edomvd>Southeastern USA Plains</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8.4</edomv>\n <edomvd>Ozark/Ouchita-Appalachian Forests</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8.5</edomv>\n <edomvd>Mississippi Alluvia and Southeast USA Coastal Plains</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>9.3</edomv>\n <edomvd>West-Central Semi-Arid Prairies</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10.1</edomv>\n <edomvd>Cold Deserts</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11.1</edomv>\n <edomvd>Mediterranean California</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>13.1</edomv>\n <edomvd>Upper Gila Mountains</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>15.4</edomv>\n <edomvd>Everglades</edomvd>\n <edomvds>https://www.epa.gov/eco-research/ecoregions-north-america</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Om3</attrlabl>\n <attrdef>Omernick Level III -105 ecoregions in the continental U.S. - 25 ecoregions in the continental U.S. (https://www.epa.gov/eco-research/ecoregions, accessed 2/26/2019)\n\nOmernik, J. M. (1987). Ecoregions of the conterminous United States. Annals of the Association of American geographers, 77(1), 118-125.</attrdef>\n <attrdefs>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</attrdefs>\n <attrdomv>\n <edom>\n <edomv>10.1.2</edomv>\n <edomvd>Columbia Plateau</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10.1.3</edomv>\n <edomvd>Northern Basin and Range</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10.1.5</edomv>\n <edomvd>Central Basin and Range</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10.1.6</edomv>\n <edomvd>Colorado Plateaus</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10.1.7</edomv>\n <edomvd>Arizona/New Mexico Plateau</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10.1.8</edomv>\n <edomvd>Snake River Plain</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11.1.1</edomv>\n <edomvd>California Coastal Sage, Chaparral, and Oak Woodlands</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11.1.3</edomv>\n <edomvd>Southern and Baja California Pine-Oak Mountains</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>13.1.1</edomv>\n <edomvd>Arizona/New Mexico Mountains</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>15.4.1</edomv>\n <edomvd>Southern Florida Coastal Plain</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>6.2.10</edomv>\n <edomvd>Middle Rockies</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>6.2.11</edomv>\n <edomvd>Klamath Mountains</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>6.2.12</edomv>\n <edomvd>Sierra Nevada</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>6.2.13</edomv>\n 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<edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8.3.3</edomv>\n <edomvd>Interior Plateau</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8.3.5</edomv>\n <edomvd>Southeastern Plains</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8.4.1</edomv>\n <edomvd>Ridge and Valley</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8.4.4</edomv>\n <edomvd>Blue Ridge</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8.4.5</edomv>\n <edomvd>Ozark Highlands</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8.4.9</edomv>\n <edomvd>Southwestern Appalachians</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8.5.3</edomv>\n <edomvd>Southern Coastal Plain</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>9.3.3</edomv>\n <edomvd>Northwestern Great Plains</edomvd>\n <edomvds>ftp://newftp.epa.gov/EPADataCommons/ORD/Ecoregions/us/Eco_Level_III_US.html</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Nvc</attrlabl>\n <attrdef>National Vegetation Classifiction (NVC; http://usnvc.org/; accessed 2/26/2019):\nThe National Vegetation Classification is a central organizing framework for documentation, inventory, monitoring, and study of vegetation in the United States from broad scale formations like forests to fine-scale plant communities. The Classification allows users to produce uniform statistics about vegetation resources across the nation at local, regional, or national levels.\n\nFaber-Langendoen, D., Baldwin, K., Peet, R., Meidinger, D., Muldavin, E., Keeler-Wolf, T., & Josse, C. (2017). The EcoVeg approach in the Americas: US, Canadian and international vegetation classifications. 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Each BPS map unit is matched with a model of vegetation succession, and both serve as key inputs to the LANDSUM landscape succession model (https://landfire.gov/bps.php, accessed 2/26/2019).\n\nRollins, M. G. (2009). LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment. 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<edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1110</edomv>\n <edomvd>Southern California Dry-Mesic Chaparral</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1114</edomv>\n <edomvd>California Lower Montane Blue Oak-Foothill Pine Woodland and Savanna</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1116</edomv>\n <edomvd>Madrean Juniper Savanna</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1117</edomv>\n <edomvd>Southern Rocky Mountain Ponderosa Pine Savanna</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1118</edomv>\n <edomvd>Southern California Oak Woodland and Savanna</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1119</edomv>\n <edomvd>Southern Rocky Mountain Juniper Woodland and Savanna</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1121</edomv>\n <edomvd>Apacherian-Chihuahuan Semi-Desert Grassland and Steppe</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1123</edomv>\n <edomvd>Columbia Plateau Steppe and Grassland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1124</edomv>\n <edomvd>Columbia Plateau Low Sagebrush Steppe</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1125</edomv>\n <edomvd>Inter-Mountain Basins Big Sagebrush Steppe</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1126</edomv>\n <edomvd>Inter-Mountain Basins Montane Sagebrush Steppe</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1127</edomv>\n <edomvd>Inter-Mountain Basins Semi-Desert Shrub-Steppe</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1132</edomv>\n <edomvd>Central Mixedgrass Prairie</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1134</edomv>\n <edomvd>Appalachian Shale Barrens</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1135</edomv>\n <edomvd>Central and Southern Appalachian Spruce-Fir Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1138</edomv>\n <edomvd>North Pacific Montane Grassland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1139</edomv>\n <edomvd>Northern Rocky Mountain Lower Montane-Foothill-Valley Grassland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1141</edomv>\n <edomvd>Northwestern Great Plains Mixedgrass Prairie</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1144</edomv>\n <edomvd>Rocky Mountain Alpine Turf</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1145</edomv>\n <edomvd>Rocky Mountain Subalpine-Montane Mesic Meadow</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1146</edomv>\n <edomvd>Southern Rocky Mountain Montane-Subalpine Grassland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1152</edomv>\n <edomvd>California Montane Riparian Systems</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1153</edomv>\n <edomvd>Inter-Mountain Basins Greasewood Flat</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1154</edomv>\n <edomvd>Inter-Mountain Basins Montane Riparian Systems</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1159</edomv>\n <edomvd>Rocky Mountain Montane Riparian Systems</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1160</edomv>\n <edomvd>Rocky Mountain Subalpine/Upper Montane Riparian Systems</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1161</edomv>\n <edomvd>Northern Rocky Mountain Conifer Swamp</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1162</edomv>\n <edomvd>Western Great Plains Floodplain Systems</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1166</edomv>\n <edomvd>Middle Rocky Mountain Montane Douglas-fir Forest and Woodland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1167</edomv>\n <edomvd>Rocky Mountain Poor-Site Lodgepole Pine Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1303</edomv>\n <edomvd>Northeastern Interior Dry-Mesic Oak Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1304</edomv>\n <edomvd>Ozark-Ouachita Dry-Mesic Oak Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1305</edomv>\n <edomvd>Southern Interior Low Plateau Dry-Mesic Oak Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1315</edomv>\n <edomvd>Southern Appalachian Oak Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1317</edomv>\n <edomvd>Allegheny-Cumberland Dry Oak Forest and Woodland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1318</edomv>\n <edomvd>Southern and Central Appalachian Cove Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1320</edomv>\n <edomvd>Central and Southern Appalachian Montane Oak Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1330</edomv>\n <edomvd>Southern Coastal Plain Dry Upland Hardwood Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1334</edomv>\n <edomvd>Ozark-Ouachita Mesic Hardwood Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1335</edomv>\n <edomvd>Atlantic Coastal Plain Dry and Dry-Mesic Oak Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1343</edomv>\n <edomvd>Atlantic Coastal Plain Mesic Hardwood Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1347</edomv>\n <edomvd>Atlantic Coastal Plain Upland Longleaf Pine Woodland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1349</edomv>\n <edomvd>East Gulf Coastal Plain Interior Upland Longleaf Pine Woodland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1352</edomv>\n <edomvd>Southern Appalachian Montane Pine Forest and Woodland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1353</edomv>\n <edomvd>Southern Appalachian Low-Elevation Pine Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1356</edomv>\n <edomvd>Florida Longleaf Pine Sandhill</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1357</edomv>\n <edomvd>Southern Coastal Plain Mesic Slope Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1360</edomv>\n <edomvd>South Florida Pine Rockland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1364</edomv>\n <edomvd>Ozark-Ouachita Dry Oak Woodland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1367</edomv>\n <edomvd>Ozark-Ouachita Shortleaf Pine-Oak Forest and Woodland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1369</edomv>\n <edomvd>Central Appalachian Dry Oak-Pine Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1377</edomv>\n <edomvd>Central Appalachian Pine-Oak Rocky Woodland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1385</edomv>\n <edomvd>Western Great Plains Wooded Draw and Ravine</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1446</edomv>\n <edomvd>South Florida Pine Flatwoods</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1450</edomv>\n <edomvd>Southern Atlantic Coastal Plain Wet Pine Savanna and Flatwoods</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1454</edomv>\n <edomvd>East Gulf Coastal Plain Near-Coast Pine Flatwoods</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1460</edomv>\n <edomvd>Southern Coastal Plain Nonriverine Cypress Dome</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1461</edomv>\n <edomvd>Southern Coastal Plain Seepage Swamp and Baygall</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1472</edomv>\n <edomvd>Central Interior and Appalachian Riparian Systems</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1473</edomv>\n <edomvd>Gulf and Atlantic Coastal Plain Floodplain Systems</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1478</edomv>\n <edomvd>Caribbean Swamp Systems</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1480</edomv>\n <edomvd>Gulf and Atlantic Coastal Plain Swamp Systems</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1483</edomv>\n <edomvd>South Florida Everglades Sawgrass Marsh</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1490</edomv>\n <edomvd>Gulf and Atlantic Coastal Plain Tidal Marsh Systems</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1503</edomv>\n <edomvd>Chihuahuan Loamy Plains Desert Grassland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1507</edomv>\n <edomvd>Ozark-Ouachita Shortleaf Pine-Bluestem Woodland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10321</edomv>\n <edomvd>Mediterranean California Red Fir Forest - Cascades</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10322</edomv>\n <edomvd>Mediterranean California Red Fir Forest - Southern Sierra</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10412</edomv>\n <edomvd>North Pacific Mountain Hemlock Forest - Xeric</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10451</edomv>\n <edomvd>Northern Rocky Mountain Dry-Mesic Montane Mixed Conifer Forest - Ponderosa Pine-Douglas-fir</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10452</edomv>\n <edomvd>Northern Rocky Mountain Dry-Mesic Montane Mixed Conifer Forest - Larch</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10453</edomv>\n <edomvd>Northern Rocky Mountain Dry-Mesic Montane Mixed Conifer Forest - Grand Fir</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10471</edomv>\n <edomvd>Northern Rocky Mountain Mesic Montane Mixed Conifer Forest</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10531</edomv>\n <edomvd>Northern Rocky Mountain Ponderosa Pine Woodland and Savanna - Mesic</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10532</edomv>\n <edomvd>Northern Rocky Mountain Ponderosa Pine Woodland and Savanna - Xeric</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10581</edomv>\n <edomvd>Sierra Nevada Subalpine Lodgepole Pine Forest and Woodland - Wet</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10611</edomv>\n <edomvd>Inter-Mountain Basins Aspen-Mixed Conifer Forest and Woodland - Low Elevation</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10612</edomv>\n <edomvd>Inter-Mountain Basins Aspen-Mixed Conifer Forest and Woodland - High Elevation</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11071</edomv>\n <edomvd>Rocky Mountain Gambel Oak-Mixed Montane Shrubland - Continuous</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11072</edomv>\n <edomvd>Rocky Mountain Gambel Oak-Mixed Montane Shrubland - Patchy</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11261</edomv>\n <edomvd>Inter-Mountain Basins Montane Sagebrush Steppe - Mountain Big Sagebrush</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11582</edomv>\n <edomvd>North Pacific Montane Riparian Woodland and Shrubland - Dry</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11661</edomv>\n <edomvd>Middle Rocky Mountain Montane Douglas-fir Forest and Woodland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11791</edomv>\n <edomvd>Northwestern Great Plains-Black Hills Ponderosa Pine Woodland and Savanna - Low Elevation Woodland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11792</edomv>\n <edomvd>Northwestern Great Plains-Black Hills Ponderosa Pine Woodland and Savanna - Savanna</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>15041</edomv>\n <edomvd>Chihuahuan-Sonoran Desert Bottomland and Swale Grassland - Tobosa Grassland</edomvd>\n <edomvds>https://landfire.gov/CSV/BPS_02012019.csv</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PreImage</attrlabl>\n <attrdef>Landsat pre-fire image used, if present, used in mapping the fire.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Values are either the Landsat image id (if present) or NULL if no Landsat image was available. Please see https://www.usgs.gov/land-resources/nli/landsat/landsat-collections?qt-science_support_page_related_con=2#qt-science_support_page_related_con (accessed 2/27/2019) for information about Landsat id's.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PostImage</attrlabl>\n <attrdef>Landsat post-fire image used, if present, used in mapping the fire.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Values are either the Landsat image id (if present) or NULL if no Landsat image was available. Please see https://www.usgs.gov/land-resources/nli/landsat/landsat-collections?qt-science_support_page_related_con=2#qt-science_support_page_related_con (accessed 2/27/2019) for information about Landsat id's.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PreNBR_val</attrlabl>\n <attrdef>Pre-fire Normalized Burn Ratio (NBR) Landat image value. Please see Key and Benson (2006) for a description of pre-fire NBR calculation and image selection.\n\nKey, C. H., & Benson, N. C. (2006). Landscape assessment (LA). FIREMON: Fire effects monitoring and inventory system. Gen. Tech. Rep. RMRS-GTR-164-CD, Fort Collins, CO: US Department of Agriculture, Forest Service, Rocky Mountain Research Station.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Pre-fire NBR values range between -1000 and 1000. NULL values are present when either no image was avaialble or the pixel was obscured by a cloud, shadow, or Landsat 7 scan-line.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PostNBR_va</attrlabl>\n <attrdef>Post-fire Normalized Burn Ratio (NBR) Landat image value. Please see Key and Benson (2006) for a description of pre-fire NBR calculation and image selection.\n\nKey, C. H., & Benson, N. C. (2006). Landscape assessment (LA). FIREMON: Fire effects monitoring and inventory system. Gen. Tech. Rep. RMRS-GTR-164-CD, Fort Collins, CO: US Department of Agriculture, Forest Service, Rocky Mountain Research Station.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Post-fire NBR values range between -1000 and 1000. NULL values are present when either no image was avaialble or the pixel was obscured by a cloud, shadow, or Landsat 7 scan-line.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>dNBR_off</attrlabl>\n <attrdef>The differenced Normalized Burn Ratio (dNBR) offset (off) value was calculated by calculating the median value of all unburned/undisturbed (values were assumed to range between -100 and 100) pixels in the image.\n\nSee:\n\nKey, C. H. (2005). Remote sensing sensitivity to fire severity and fire recovery. In 5th International Workshop on Remote Sensing and GIS Applications to Forest Fire Management: Fire Effects Assessment (pp. 29-39).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Values range between -100 and 100 dNBR. NULL values indicate no dNBR image was available.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>dNBR_sd</attrlabl>\n <attrdef>The differenced Normalized Burn Ratio (dNBR) standard deviation (sd) value was calculated by calculating the standard deviation of all unburned/undisturbed (values were assumed to range between -100 and 100) pixels in the image.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Values range between -100 and 100 dNBR. NULL values indicate no dNBR image was available.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>dNBR_val</attrlabl>\n <attrdef>The differenced Normalized Burn Ratio values were calculated for each Composite Burn Index (CBI) plot by the mean values of all pixels on which the 30m plot intersected (weighted towards the plot center) and subtracting the dNBR offset value.\n\nFor information about dNBR, please see:\n\nKey, C. H. (2005). Remote sensing sensitivity to fire severity and fire recovery. In 5th International Workshop on Remote Sensing and GIS Applications to Forest Fire Management: Fire Effects Assessment (pp. 29-39).\nKey, C. H., & Benson, N. C. (2006). Landscape assessment (LA). FIREMON: Fire effects monitoring and inventory system. Gen. Tech. Rep. RMRS-GTR-164-CD, Fort Collins, CO: US Department of Agriculture, Forest Service, Rocky Mountain Research Station.\n\nFor information about the dNBR offset process, please see:</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Offset dNBR values ranged between -2000 and 2000, with the exception of NULL values that were given when no dNBR imagery was available.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cbi</attrlabl>\n <attrdef>Composite Burn Index Values (CBI) values estimate the range of burn severity for a 30 meter on the ground plot. Five structural layers of vegetation, ranging from the soil to the tree canopy. were rated for severity with 0.0 indicating no severity and 3.0 indicating high severity. Each of the these five vegetation layers have 4-5 ratings factors. The overall average of the rating s factors were calcuated per vegetation layer. The overall CBI value was calculated by averaging the average CBI values per ratings factor.\n\nFor a full description of CBI, please see:\n\nKey, C. H., & Benson, N. C. (2006). Landscape assessment (LA). FIREMON: Fire effects monitoring and inventory system. Gen. Tech. Rep. RMRS-GTR-164-CD, Fort Collins, CO: US Department of Agriculture, Forest Service, Rocky Mountain Research Station.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>3.0</rdommax>\n <attrunit>CBI</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>This dataset contains Composite Burn Index (CBI) plots and values for the conterminous US that were collected between 1996 and 2016. The goal of this dataset is to provide historic burn severity information that has been collected through time to regress values with Landsat satellite estimates of burn severity via the Normalized Burn Ratio (NBR) and the differenced NBR (pre-fire NBR - post-fire NBR) .</eaover>\n <eadetcit>Citation of CBI paper publication, once published.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>Joshua J Picotte</cntper>\n <cntorg>CLIMATE & LAND-USE: EROS CENTER OFFIC OF THE DIR</cntorg>\n </cntperp>\n <cntpos>Fire Specialist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>47914 252Nd Street</address>\n <city>Sioux Falls</city>\n <state>SD</state>\n <postal>57198</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>605-594-2677</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Distributor assumes no liability for misuse of data.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Vector Digital Data Set (Point)</formname>\n <formvern>QGIS 3.2.2</formvern>\n <formspec>ESRI Point Shapefile</formspec>\n <formcont>conus_cbi_v1.dbf, conus_cbi_v1.prj, conus_cbi_v1.shp, conus_cbi_v1.shx</formcont>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>ScienceBasePlaceHolder</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200818</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Joshua J Picotte (CTR)</cntper>\n <cntorg>U.S. Geological Survey, CLIMATE & LAND-USE</cntorg>\n </cntperp>\n <cntpos>Fire Specialist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>47914 252Nd Street</address>\n <city>Sioux Falls</city>\n <state>SD</state>\n <postal>57198</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>605-594-2677</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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## Dates
Publication Date2017Start Date2004End Date2016
## Citation
Hopkins, K.G., Loperfido, J.V., and Craig, L.S., 2017, Water quality data for urban (centralized versus distributed stormwater management) and forested reference watersheds in Clarksburg, MD (2004-2016): U.S. Geological Survey data release, https://doi.org/10.5066/F72Z13RC.
## Summary
This dataset describes baseflow and stormflow concentration data for the constituents of nitrogen and phosphorus and suspended sediments for watersheds included in a paired watershed study including a forested reference watershed and three urban watersheds with centralized or decentralized stormwater management in Clarksburg, Maryland USA. Surface water samples were collected between the years 2004-2016. These data are interpreted in a journal article published in the Journal of Environmental Management.
## Summary
This dataset describes baseflow and stormflow concentration data for the constituents of nitrogen and phosphorus and suspended sediments for watersheds included in a paired watershed study including a forested reference watershed and three urban watersheds with centralized or decentralized stormwater management in Clarksburg, Maryland USA. Surface water samples were collected between the years 2004-2016. These data are interpreted in a journal article published in the Journal of Environmental Management.
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| Concentration data for suspended sediment, nitrogen, and phosphorus for urban streams in Clarksburg, Maryland USA (2004-2016).xml<br>“Concentration data for urban watersheds in Clarksburg, MD Metadata”<br>_Original FGDC Metadata_ | View | 15.49 KB | application/fgdc+xml |
| WQ\_Dataset\_UrbanWateheds\_ClarksburgMD.csv<br>“Concentration data for urban watersheds in Clarksburg, MD” | | 41.94 KB | text/csv |
## Purpose
Data were obtained in order to evaluate differences among watersheds that vary in stormwater management practice arrangement by assessing differences in baseflow nutrient fluxes and stormflow export of suspended sediments and total particulate phosphorus.
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>K.G. Hopkins</origin>\n <origin>J.V. Loperfido</origin>\n <origin>L.S. Craig</origin>\n <pubdate>201704</pubdate>\n <title>Concentration data for suspended sediment, nitrogen, and phosphorus for urban streams in Clarksburg, Maryland USA (2004-2016)</title>\n <geoform>csv file</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F72Z13RC</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This dataset describes baseflow and stormflow concentration data for the constituents of nitrogen and phosphorus and suspended sediments for watersheds included in a paired watershed study including a forested reference watershed and three urban watersheds with centralized or decentralized stormwater management in Clarksburg, Maryland USA. Surface water samples were collected between the years 2004-2016. These data are interpreted in a journal article published in the Journal of Environmental Management.</abstract>\n <purpose>Data were obtained in order to evaluate differences among watersheds that vary in stormwater management practice arrangement by assessing differences in baseflow nutrient fluxes and stormflow export of suspended sediments and total particulate phosphorus.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2004</begdate>\n <enddate>2016</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-77.319237</westbc>\n <eastbc>-77.13446</eastbc>\n <northbc>39.285984</northbc>\n <southbc>39.180344</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus; Common geographic areas</themekt>\n <themekey>datasets</themekey>\n <themekey>water quality</themekey>\n <themekey>suspended material (water)</themekey>\n <themekey>surface water quality</themekey>\n <themekey>nitrogen</themekey>\n <themekey>phosphorus</themekey>\n <themekey>urban</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5903a207e4b022cee40c666b</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>Maryland</placekey>\n <placekey>Montgomery County</placekey>\n <placekey>Clarksburg</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Kristina G Hopkins</cntper>\n <cntorg>U.S. Geological Survey, Southeast Region, Eastern Geographic Science Center (EGSC)</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 521, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-5125</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>An inorganic nutrients external standard (ERA, Golden, CO) was measured several times during each sample analysis run and had average accuracy of \xc2\xb1 5% of the certified concentration with no individual measurement > \xc2\xb1 10% of the certified concentration.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>During the 2004-2006 sampling campaign water samples were filtered with a 0.7 \xce\xbcm Whatman GF/F filter and analyzed for nitrate + nitrite (NOx), ammonium (NH4+), and orthophosphate (PO4-) using an automated photometric analyzer (Aquakem 250, Thermo Fisher Scientific, Waltham, MA). The mean concentration of the three samples from each sampling day at each site was used as the representative sample concentration. During the sampling campaigns from 2010-2012 and 2016, subsamples were filtered within 24 hours with 0.45\xce\xbcm syringe phosphorus-free filters and refrigerated until analysis of PO4- and NOx. Filtered and unfiltered aliquots for total phosphorus (TP) and total nitrogen (TN) were stored in HDPE bottles and frozen until analysis. Aliquots for TN and TP were thawed and digested with alkaline persulfate in an autoclave for 1 hour prior to analysis for the resulting NOx and PO4- concentrations (Patton and Kryskalla 2003). Total particulate P (TPP) was calculated as TP minus total dissolved P. Samples were analyzed for NOx and TN using EPA method 353.2 and PO4- and TP using EPA method 365.1. All analyses were performed on an Astoria Pacific segmented flow autoanalyzer (Astoria-Pacific, Astoria, OR) or AQ2 Automated Discrete Analyzer (Seal Analytics). Samples collected from 2010-2012 were also analyzed for suspended sediment concentration (SSC) using pre-washed and pre-ashed Whatman 934-AH filters (GE Healthcare, Piscataway, NJ) following ASTM method D 3977.</procdesc>\n <procdate>201704</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Table with water quality concentration data</enttypl>\n <enttypd>Table with water quality concentration data</enttypd>\n <enttypds>K Hopkins</enttypds>\n </enttyp>\n <attr>\n <attrlabl>DateTime_EST</attrlabl>\n <attrdef>Date and time in eastern standard time</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10/2/2004 0:00 AM</rdommin>\n <rdommax>9/18/2016 11:40 AM</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Site</attrlabl>\n <attrdef>The watershed name</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>For-MD</edomv>\n <edomvd>Forested reference watershed in Maryland USGS gage 01643395</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Cent-MD</edomv>\n <edomvd>Centralized stormwater management watershed in Maryland USGS gage 01644375</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Dist-MD</edomv>\n <edomvd>Distributed stormwater management watershed in Maryland USGS gage 01644371</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PO4_mgP_L</attrlabl>\n <attrdef>Orthophosphate concentration in milligrams of phosphorus per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.001</rdommin>\n <rdommax>0.217</rdommax>\n <attrunit>milligrams of phosphorus per liter (mg/l)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TP_mgP_L</attrlabl>\n <attrdef>Total phosphorus in milligrams of phosphorus per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0005</rdommin>\n <rdommax>3.27</rdommax>\n <attrunit>milligrams of phosphorus per liter (mg/l)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TPP_mgP_L</attrlabl>\n <attrdef>Total particulate phosphorus in milligrams of phosphorus per liter (mg/l)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>3.26</rdommax>\n <attrunit>milligrams of phosphorus per liter (mg/l)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NO3_NO2_mgN_L</attrlabl>\n <attrdef>Nitrate and nitrite concentration in milligrams of nitrogen per liter (mg/l)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.12</rdommin>\n <rdommax>6.48</rdommax>\n <attrunit>milligrams of nitrogen per liter (mg/l)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NH4_mgN_L</attrlabl>\n <attrdef>Ammonium concentration in milligrams of nitrogen per liter (mg/l)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.001</rdommin>\n <rdommax>0.7</rdommax>\n <attrunit>milligrams of nitrogen per liter (mg/l)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TN_mgN_L</attrlabl>\n <attrdef>Total nitrogen concentration in milligrams of nitrogen per liter (mg/l)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.42</rdommin>\n <rdommax>8.53</rdommax>\n <attrunit>milligrams of nitrogen per liter (mg/l)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TPN_mgN_L</attrlabl>\n <attrdef>Total particulate nitrogen concentration in milligrams of nitrogen per liter (mg/l)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>7.23</rdommax>\n <attrunit>milligrams of nitrogen per liter (mg/l)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>N03_NO2_kgN_day</attrlabl>\n <attrdef>Baseflow nitrate+nitrite load in kilograms of nitrogen per day assuming constant baseflow</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.69</rdommin>\n <rdommax>32.59</rdommax>\n <attrunit>kilograms of nitrogen per day</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>N03_NO2_kgN_day_sqkm</attrlabl>\n <attrdef>Baseflow nitrate+nitrite load in kilograms of nitrogen per day normalized by watershed area in square kilometers assuming constant baseflow</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.2</rdommin>\n <rdommax>10.48</rdommax>\n <attrunit>kilograms of nitrogen per day per square kilometer</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PO4_gP_day</attrlabl>\n <attrdef>Baseflow orthophosphate load in grams of phosphorus per day assuming constant baseflow</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.6</rdommin>\n <rdommax>132.3</rdommax>\n <attrunit>grams of phosphorus per day</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PO4_gP_day_sqkm</attrlabl>\n <attrdef>Baseflow nitrate+nitrite load in kilograms of nitrogen per day normalized by watershed area in sqaure kilometers assuming constant baseflow</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.2</rdommin>\n <rdommax>39</rdommax>\n <attrunit>grams of phosphorus per day per square kilometers</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SSC_mg_L</attrlabl>\n <attrdef>Suspended sediment concentration in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.4</rdommin>\n <rdommax>12900</rdommax>\n <attrunit>milligrams per liter (mg/l)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Q_cms</attrlabl>\n <attrdef>Stream discharge in cubic meters per second</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.004</rdommin>\n <rdommax>3.91</rdommax>\n <attrunit>cubic meters per second (cms)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FlowType</attrlabl>\n <attrdef>Type of stream flow condition either baseflow or stormflow</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Baseflow</edomv>\n <edomvd>Baseflow conditions</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Storm</edomv>\n <edomvd>Stormflow conditions</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey - ScienceBase</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810 Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200831</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Kristina G Hopkins</cntper>\n <cntorg>U.S. Geological Survey, Southeast Region, Eastern Geographic Science Center (EGSC)</cntorg>\n </cntperp>\n <cntpos>Research Physical Scientist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 521, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-5125</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
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3. [Time-Domain Electromagnetic Data Used in the Assessment of the Freshwater/Saline-Water Transition Zone within the Hueco Bolson, Fort Bliss Area, El Paso, Texas 2017-2019](/catalog/folder/5d77dfa0e4b0c4f70d020a11)
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## Dates
Publication Date2020-08-31Start Date2017-02-27End Date2019-07-28
## Citation
Payne, J.D., Teeple, A.P, and Ikard, S.J., 2020, Time-Domain Electromagnetic Data Used in the Assessment of the Freshwater/Saline-Water Transition Zone within the Hueco Bolson, Fort Bliss Area, El Paso, Texas 2017-2019, U.S. Geological Survey data release, https://doi.org/10.5066/P9VVJMHQ.
## Summary
Declining groundwater levels in the Hueco Bolson have raised concerns about the amount of available groundwater and the potential for water-quality changes. Fresh groundwater stored in the aquifer is bordered by regions of brackish-to-saline groundwater, and as the water levels in the Hueco Bolson have declined the local and regional hydraulic gradients have been altered such that the brackish-to-saline groundwater regions have encroached upon and degraded the quality of the freshwater zones (Hibbs 1999; Heywood and Yager, 2003). To help delineate the freshwater and saline groundwater transition zone, 20 time-domain electromagnetic soundings were collected to provide resistivity structure data in the area. This dataset consists of \[...\]
## Summary
Declining groundwater levels in the Hueco Bolson have raised concerns about the amount of available groundwater and the potential for water-quality changes. Fresh groundwater stored in the aquifer is bordered by regions of brackish-to-saline groundwater, and as the water levels in the Hueco Bolson have declined the local and regional hydraulic gradients have been altered such that the brackish-to-saline groundwater regions have encroached upon and degraded the quality of the freshwater zones (Hibbs 1999; Heywood and Yager, 2003). To help delineate the freshwater and saline groundwater transition zone, 20 time-domain electromagnetic soundings were collected to provide resistivity structure data in the area. This dataset consists of all collected raw data as well as processed results for each sounding.
## Contacts
Originator
:
[Jason D Payne](/catalog/catalogParty/show?partyId=7929),
[Andrew P Teeple](/catalog/catalogParty/show?partyId=10257),
[Scott J Ikard](/catalog/catalogParty/show?partyId=65907)
Metadata Contact
:
[Jason D Payne](/catalog/catalogParty/show?partyId=7929)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
:
[Oklahoma-Texas Water Science Center](/catalog/catalogParty/show?partyId=17359)
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| TAPP\_HB\_TDEM.xml<br>_Original FGDC Metadata_ | View | 38.3 KB | application/fgdc+xml |
| TAAP\_HB\_TDEM\_raw\_readme.zip<br>“TDEM\_raw” | | 353.92 KB | application/zip |
| TAAP\_HB\_TDEM\_processed.TXT<br>“TDEM\_Processed” | | 416.38 KB | text/plain |
| TAAP\_HB\_TDEM\_processed\_readme.txt<br>“TDEM\_Processed\_Readme” | | 6.51 KB | text/plain |
## Purpose
The purpose of this dataset is to present a geophysics-based delineation of the transition zone between freshwater and saline groundwater in the Hueco Bolson, an aquifer in an alluvium-floored basin. Descriptions of the measurement processes, pre-processing, inverse modeling, and post-processing of 20 time-domain electromagnetic soundings, measured near Fort Bliss, in El Paso County, Texas, are provided herein. The geophysical data and subsequent analysis methods were measured and completed, respectively, between 2017 and 2019, and are a component of the U.S.-Mexico Transboundary Aquifer Assessment Program (TAAP). The USGS is one of the many entities participating in TAPP; a complete overview of the TAPP is provided in Alley (2013). The objectives of the TAAP include: (1) developing and implementing an integrated scientific approach for identifying and assessing priority transboundary aquifers; (2) evaluating all available data and publications as part of the development of study plans for each priority transboundary aquifer; (3) creating or enhancing an existing geographic information system database to characterize the spatial and temporal aspects of each priority transboundary aquifer; and, (4) using field studies to expand on-going monitoring and metering efforts and to develop the additional data necessary to adequately define aquifer characteristics. This study attempts to conform to these broader goals of the TAAP by assessing the extent, availability, and movement of groundwater in the Hueco Bolson, and in developing internationally-shared information and scientific data sets that enable better estimation of groundwater quantity, quality, and sustainability, and therefore better management practices for the groundwater resources of this priority transboundary aquifer.
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## Communities
- USGS Data Release Products
- USGS Oklahoma-Texas Water Science Center
## Associated Items
- _product of_ [Transboundary Aquifer Assessment Program (TAAP)](/catalog/item/5f68bef582ce38aaa2425315 "Transboundary Aquifer Assessment Program (TAAP)")
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## Tags
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
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- [Hydrogeologic](/catalog/items?q=&filter=tags%3DHydrogeologic "Hydrogeologic (Hydrogeologic, Theme, None)")
- [Resistivity](/catalog/items?q=&filter=tags%3DResistivity "Resistivity (Resistivity, Theme, None)")
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Place
- [El Paso](/catalog/items?q=&filter=tags%3DEl+Paso "El Paso (El Paso, Place, Geographic Names Information System)")
- [Fort Bliss](/catalog/items?q=&filter=tags%3DFort+Bliss "Fort Bliss (Fort Bliss, Place, Geographic Names Information System)")
- [Hueco Bolson Aquifer](/catalog/items?q=&filter=tags%3DHueco+Bolson+Aquifer "Hueco Bolson Aquifer (Hueco Bolson Aquifer, Place, Geographic Names Information System)")
- [Texas](/catalog/items?q=&filter=tags%3DTexas "Texas (Texas, Place, Geographic Names Information System)")
## Provenance
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## Additional Information
### Identifiers
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| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9VVJMHQ |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Payne, J.D.</origin>\n <origin>Teeple, A.P</origin>\n <origin>Ikard, S.J.</origin>\n <pubdate>20200831</pubdate>\n <title>Time-Domain Electromagnetic Data Used in the Assessment of the Freshwater/Saline-Water Transition Zone within the Hueco Bolson, Fort Bliss Area, El Paso, Texas 2017-2019</title>\n <geoform>tabular digital data</geoform>\n <othercit>U.S. Geological Survey data release</othercit>\n <onlink>https://doi.org/10.5066/P9VVJMHQ</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Declining groundwater levels in the Hueco Bolson have raised concerns about the amount of available groundwater and the potential for water-quality changes. Fresh groundwater stored in the aquifer is bordered by regions of brackish-to-saline groundwater, and as the water levels in the Hueco Bolson have declined the local and regional hydraulic gradients have been altered such that the brackish-to-saline groundwater regions have encroached upon and degraded the quality of the freshwater zones (Hibbs 1999; Heywood and Yager, 2003). To help delineate the freshwater and saline groundwater transition zone, 20 time-domain electromagnetic soundings were collected to provide resistivity structure data in the area. This dataset consists of all collected raw data as well as processed results for each sounding.</abstract>\n <purpose>The purpose of this dataset is to present a geophysics-based delineation of the transition zone between freshwater and saline groundwater in the Hueco Bolson, an aquifer in an alluvium-floored basin. Descriptions of the measurement processes, pre-processing, inverse modeling, and post-processing of 20 time-domain electromagnetic soundings, measured near Fort Bliss, in El Paso County, Texas, are provided herein. The geophysical data and subsequent analysis methods were measured and completed, respectively, between 2017 and 2019, and are a component of the U.S.-Mexico Transboundary Aquifer Assessment Program (TAAP). The USGS is one of the many entities participating in TAPP; a complete overview of the TAPP is provided in Alley (2013). The objectives of the TAAP include: (1) developing and implementing an integrated scientific approach for identifying and assessing priority transboundary aquifers; (2) evaluating all available data and publications as part of the development of study plans for each priority transboundary aquifer; (3) creating or enhancing an existing geographic information system database to characterize the spatial and temporal aspects of each priority transboundary aquifer; and, (4) using field studies to expand on-going monitoring and metering efforts and to develop the additional data necessary to adequately define aquifer characteristics. This study attempts to conform to these broader goals of the TAAP by assessing the extent, availability, and movement of groundwater in the Hueco Bolson, and in developing internationally-shared information and scientific data sets that enable better estimation of groundwater quantity, quality, and sustainability, and therefore better management practices for the groundwater resources of this priority transboundary aquifer.</purpose>\n <supplinf>Hibbs, B.J., 1999, Hydrogeologic and water quality issues along the El Paso/Juarez Corridor: An International Case Study: Environmental and Engineering Geoscience, vol. 1, p. 27-39.\n\nHeywood, C.E. and Yager, R.M., 2003, Simulated ground-water flow in the Hueco Bolson, an alluvial-basin aquifer system near El Paso, Texas: U.S. Geological Survey Water-Resources Investigations Report 2002-4108, 73 p., https://doi.org/10.3133/wri024108\n\nAlley, W.M., 2013, Five-Year Interim Report of the United States\xe2\x80\x93Mexico Transboundary Aquifer Assessment Program, 2007 \xe2\x80\x93 2012: U.S. Geological Survey Open-File Report, 31 p., https://doi.org/10.3133/ofr20131059</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20170227</begdate>\n <enddate>20190728</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-106.38380</westbc>\n <eastbc>-106.27040</eastbc>\n <northbc>31.90780</northbc>\n <southbc>31.80980</southbc>\n </bounding>\n <descgeog>Fort Bliss, in El Paso County, Texas</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>Hydrogeologic</themekey>\n <themekey>Geologic</themekey>\n <themekey>Time-domain</themekey>\n <themekey>Electromagnetic</themekey>\n <themekey>Resistivity</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d77dfa0e4b0c4f70d020a11</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System</placekt>\n <placekey>Fort Bliss</placekey>\n <placekey>Hueco Bolson Aquifer</placekey>\n <placekey>El Paso</placekey>\n <placekey>Texas</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>None. Please see \'Distribution Info\' for details.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Oklahoma-Texas Water Science Center Public Information Officer</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1505 Ferguson Lane</address>\n <city>Austin</city>\n <state>TX</state>\n <postal>78754</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>(512) 927-3500</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <tool>\n <tooldesc>The IX1D v3 program (proprietary software), developed by Interpex Limited, was used for inverse modeling of the time-domain electromagnetic soundings. This software saves and reads IXP files.</tooldesc>\n <toolacc>\n <onlink>http://www.interpex.com/ix1dv3/ix1dv3.htm</onlink>\n <toolinst>Software can be downloaded from the manufacturer\'s website. Basic functions of the software can be performed with free installation, but complex inversions and export of data need a software key.</toolinst>\n </toolacc>\n </tool>\n <tool>\n <tooldesc>Time-domain electromagnetic soundings were collected by using the Geonics Protem 47 and 57 systems. Raw data files exported from the receiver unit are formatted based on definitions from Geonics.</tooldesc>\n <toolacc>\n <onlink>http://www.geonics.com/html/tem47.html</onlink>\n <onlink>http://www.geonics.com/html/tem57-mk2.html</onlink>\n <toolinst>Unit was borrowed from the U.S Geological Survey Geology, Geophysics, and Geochemistry Science Center in Lakewood, Colorado.</toolinst>\n </toolacc>\n </tool>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>All feature attribute values were peer reviewed. Values were checked for correct data type and for presence/absence of data. See Methodology and Process Step sections found within the Lineage part of the Data Quality Information section for quality assurance and quality control performed on the dataset.</attraccr>\n </attracc>\n <logic>All data match with the details provided about them and values fall within the expected ranges.</logic>\n <complete>Dataset is considered complete for the information presented, as described in the abstract. Users are advised to carefully read the full metadata record for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>Time-domain electromagnetic sounding locations were collected using a handheld Garmin (GPSMAP 60CSx) global positioning system. Horizontal positional accuracy for coordinates collected from this device were typically between 10 and 33 feet (3 and10 meters).</horizpar>\n </horizpa>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Vignesh A.</origin>\n <origin>Ramanujan N.</origin>\n <origin>Kumar B.S.</origin>\n <origin>Rasool Q.A.</origin>\n <pubdate>2015</pubdate>\n <title>Application of time domain electromagnetic (Tdem) methods for mapping of salt fresh water intrusions and evaluate the porosity in Carbyn\xe2\x80\x99s Cove, Wandoor and Khurumedhera Beaches in South Andaman</title>\n <edition>Journal of Coastal Zone Management V. 18, No. 4</edition>\n <geoform>Journal Article</geoform>\n <othercit>doi: 10.4172/2473-3350.1000413</othercit>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2015</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Vignesh and others, 2015</srccitea>\n <srccontr>Methodology Citation</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>NCDWR</origin>\n <pubdate>2004</pubdate>\n <title>Time domain electromagnetic geophysics</title>\n <geoform>Pamphlet</geoform>\n <onlink>http://www.ncwater.org/?page=562</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2004</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>North Carolina Division of Water Resources, 2004</srccitea>\n <srccontr>Methodology Citation</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Geonics</origin>\n <pubdate>2006</pubdate>\n <title>Products-TEM47</title>\n <geoform>equipment</geoform>\n <onlink>http://www.geonics.com/html/tem47.html</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2006</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>Geonics Limited, 2006a</srccitea>\n <srccontr>Equipment</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Geonics</origin>\n <pubdate>2006</pubdate>\n <title>Products-TEM57</title>\n <geoform>equipment</geoform>\n <onlink>http://www.geonics.com/html/tem57-mk2.html</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2006</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>Geonics Limited, 2006b</srccitea>\n <srccontr>Equipment</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Teeple, A.P.</origin>\n <origin>Vrabel, J.</origin>\n <origin>Kress, W.H.</origin>\n <origin>Cannia, J.C.</origin>\n <pubdate>2009</pubdate>\n <title>Apparent resistivity and estimated interaction potential of surface water and groundwater along selected canals and streams in the Elkhorn-Loup Model study area, north-central Nebraska, 2006-07</title>\n <geoform>Document</geoform>\n <serinfo>\n <sername>Apparent resistivity and estimated interaction potential of surface water and groundwater along selected canals and streams in the Elkhorn-Loup Model study area, north-central Nebraska, 2006-07</sername>\n <issue>2009-5171</issue>\n </serinfo>\n <othercit>66 p. available online at https://doi.org/10.3133/sir20095171</othercit>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2009</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Teeple and others, 2009</srccitea>\n <srccontr>Reference</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Helsel, D.R.</origin>\n <origin>Hirsch, R.M.</origin>\n <origin>Ryberg, K.R.</origin>\n <origin>Archfield, S.A.</origin>\n <origin>Gilroy, E.J.</origin>\n <pubdate>2020</pubdate>\n <title>Statistical methods in water resources</title>\n <geoform>Book Chapter</geoform>\n <serinfo>\n <sername>Techniques of Water Resources Investigations</sername>\n <issue>Book 4, Chapter A3</issue>\n </serinfo>\n <othercit>458 p., https://doi.org/10.3133/tm4a3. [Supersedes USGS Techniques of Water-Resources Investigations, book 4, chapter A3, version 1.1.]\n\nAssociated data for this publication:\nHelsel, D.R., Hirsch, R.M., Ryberg, K.R., Archfield, S.A., and Gilroy, E.J., 2020, Statistical methods in water resources\xe2\x80\x94Supporting materials: U.S. Geological Survey data release, https://doi.org/10.5066/P9JWL6XR.</othercit>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2020</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Helsel and others, 2020</srccitea>\n <srccontr>Book Chapter</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Interpex</origin>\n <pubdate>1996</pubdate>\n <title>IX1D version 3 1D sounding inversion software</title>\n <geoform>Software</geoform>\n <onlink>http://www.interpex.com</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1996</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>Interpex Limited, 1996</srccitea>\n <srccontr>Software</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Constable, S.C.</origin>\n <origin>Parker, R.L.</origin>\n <origin>Constable, C.G.</origin>\n <pubdate>1987</pubdate>\n <title>Occam\xe2\x80\x99s inversion-A practical algorithm for generating smooth models from EM sounding data</title>\n <edition>Geophysics Vol. 52 No. 3</edition>\n <geoform>Journal Article</geoform>\n <serinfo>\n <sername>Geophysics</sername>\n <issue>v52</issue>\n </serinfo>\n <othercit>p. 289-300, available online at http://doi.org/10.1190/1.1442303</othercit>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1987</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Constable and others, 1987</srccitea>\n <srccontr>Reference</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Data collection: \n\nTime-domain electromagnetic instruments measure the vertical component of the time varying (gradient) magnetic field (dBz/dt) of the secondary electromagnetic (EM) field in the form of a voltage transient. This data can be used to model apparent and approximate resistivity. The measurements are made by producing an alternating electrical current (AC) in a transmitter wire loop that is deployed on the land surface (Vignesh and others, 2015). The transmitted AC current consists of equal periods of time when current is turned on and off, referred to as \'on-time\' and \'off-time\' (North Carolina Division of Water Resources, 2004). Current in the transmitter loop, during "on-time" induces a magnetic field into the subsurface. This magnetic field in turn induces eddy currents in conductive layers of the subsurface. These secondary currents produce a secondary magnetic field that it measured as voltage transients at the receiver coil during "off-time". Multiple time-domain electromagnetic measurements are averaged to obtain a final "stacked" time-domain electromagnetic sounding (Teeple and others, 2009).\n\nTime-domain electromagnetic soundings were measured using the Geonics Protem 47 and 57 systems (Geonics Limited, 2006 a, b). The Geonics Protem 47 and 57 systems use a multiturn receiver coil to measure the voltage transient in the center of a transmitter loop. The effective area of the receiver relates to the sensitivity of the receiver coil (Geonics Limited, 2006 a, b). The time-domain electromagnetic soundings were collected at two frequencies using the Geonics Protem 47 (285 and 75 hertz [Hz]) and three frequencies using the Geonics Protem 57 (30, 7.5, and 3.0 Hz) for a total of five frequencies. The lower frequencies contain information from deeper in the subsurface. For each frequency, ten stacks were collected by using an integration time of either 8 or 15 seconds. Integration time is the time duration that repeat measurements are averaged for one stack. The longer integration time (15 seconds) was used for collecting 3.0-Hz data with the Geonics Protem 57; the longer integration time helped compensate (improve the signal to noise ratio because more measurements are stacked) for the dissipation of the transmitted signal at depth and for the greater potential for electromagnetic background noise with these soundings compared to soundings collected at higher frequencies (shallower depths).\n\nThe raw data files are included in this data release as a zip file (TAAP_HB_TDEM_raw.zip) along with a readme file (TAAP_HB_TDEM_RAW_readme.txt) detailing the structure of the files within the zip folder.</procdesc>\n <srcused>Vignesh and others, 2015</srcused>\n <srcused>North Carolina Division of Water Resources, 2004</srcused>\n <srcused>Geonics Limited, 2006a</srcused>\n <srcused>Geonics Limited, 2006b</srcused>\n <srcused>Teeple and others, 2009</srcused>\n <procdate>20190901</procdate>\n </procstep>\n <procstep>\n <procdesc>Pre-processing: \n\nThe voltage transients measured from the eddy currents were averaged and evaluated statistically using preprocessing scripts to calculate the uncertainty of each time gate (discrete voltages measured at increasingly later times after shutoff of the current). Variability observed in a time gate could represent signal noise or a systematic change that is not representative of stable data. A trimmed mean (Helsel and others, 2020) was calculated for each of the 10 stacks, and the resulting mean was stored in one sounding for each site (a sounding is a time dependent voltage decay measured at the receiver coil). The trimmed mean represents the central tendency of a dataset after a selected percentage of the highest and lowest values were removed. In this application, 10 percent of the data from each end of the distribution were removed, and a mean of the central 80 percent of the data was computed. The trimmed means were then compared to the noise sample and any values less than half of the associated electromagnetic background noise value were removed from the final sounding. This comparison of the trimmed means to the electromagnetic background noise is done because sounding data that approximates the background noise threshold has a lower signal to noise ratio and lower reliability. The final soundings were saved as processed data files for use with the inversion software used for inverse modeling (Interpex Limited, 1996).</procdesc>\n <srcused>Helsel and others, 2020</srcused>\n <srcused>Interpex Limited, 1996</srcused>\n <procdate>20190901</procdate>\n </procstep>\n <procstep>\n <procdesc>Inverse Modeling:\n\nInverse modeling is the process of estimating the spatial distribution of subsurface resistivity from the measured voltage transient. The IX1D v3 program developed by Interpex Limited (1996), was used for inverse modeling of the time-domain electromagnetic soundings. A smooth inverse model (a multilayered model that holds the depth values fixed and allows the resistivity values to vary during inversion) was fit to the data by using Occam\xe2\x80\x99s inversion principle (Constable and others, 1987). For this report, root mean square errors (RMSE) between the measured apparent resistivity (calculated from measured voltage transient) and the calculated apparent resistivity (modeled depth dependent resistivity) of 10 percent or less were considered acceptable and included in the analysis. The root mean square error is derived from the residuals between the measured apparent resistivity and the calculated apparent resistivity by using following equation:\n\nRMSE=sqrt(1/n * sum(Mi-Ci )^2 )\n\nwhere\nRMSE is the root mean square error,\nsqrt is the square root,\nn is the number of observations,\ni is an index of a sequence,\nM is the measured apparent resistivity at the given time step, and\nC is the calculated apparent resistivity at the given time step.\n\nThe inverse modeling results of the final processed time-domain electromagnetic data collected throughout the study area had a range of root mean square errors from 1.89 to 21.36 percent and a median of 3.90 percent; the root mean square errors of 96 percent of the soundings were less than 10 percent. \n\nThe final inversion results are included in this data release as a text file (TAAP_HB_TDEM_Processed.txt) along with a readme file (TAAP_HB_TDEM_Processed_readme.txt) detailing the structure of the text file. \n\nThe field notes, pre-processing files, and all other ancillary data files are archived internally on a server at the Oklahoma-Texas Water Science Center Austin Office and are available upon request.</procdesc>\n <srcused>Interpex Limited, 1996</srcused>\n <srcused>Constable and others, 1987</srcused>\n <procdate>20190901</procdate>\n </procstep>\n <method>\n <methtype>Field</methtype>\n <methdesc>Data collection: \n\nTime-domain electromagnetic instruments measure the bulk resistivity of the subsurface by producing an alternating electrical current in a transmitter loop deployed on the land surface (Vignesh and others, 2015). The transmitter signal of most systems consists of equal periods of time when current is turned on or off, commonly referred to as \'on-time\' and \'off-time\' (North Carolina Division of Water Resources, 2004). Multiple time-domain electromagnetic measurements, where a single measurement is a \'stack\' (the compilation of datasets collected during an integration time), are averaged to obtain a final mean time-domain electromagnetic sounding (Teeple and others, 2009).\n\nTime-domain electromagnetic soundings were collected using the Geonics Protem 47 and 57 systems (Geonics Limited, 2006 a, b). The Geonics Protem 47 and 57 systems use a multiturn receiver coil to measure electromagnetic fields in the center of a transmitter loop. The effective area of the receiver relates to the sensitivity of the receiver coil (Geonics Limited, 2006 a, b). The time-domain electromagnetic soundings were collected at two frequencies using the Geonics Protem 47 (285 and 75 hertz [Hz]) and three frequencies using the Geonics Protem 57 (30, 7.5, and 3.0 Hz), for a total of five frequencies between the two, where lower frequencies receive data from deeper in the subsurface. For each frequency, ten stacks were collected by using an integration time of either 8 or 15 seconds. The longer integration time (15 seconds) was used for collecting 3.0-Hz data with the Geonics Protem 57, which helped compensate (improve signal to noise ratio) for the dissipation of the transmitted signal at depth and for the greater potential for electromagnetic background noise with these soundings compared to soundings collected at higher frequencies (shallower depths).\n\nThe raw data files are included in this data release as a zip file (TAAP_HB_TDEM_raw.zip) along with a readme file (TAAP_HB_TDEM_RAW_readme.txt) detailing the structure of the files within the zip folder.</methdesc>\n <methcite>\n <citeinfo>\n <origin>Vignesh A., Ramanujam N., Kumar B.S., and Rasool Q.A.</origin>\n <pubdate>2015</pubdate>\n <title>Application of time domain electromagnetic (Tdem) methods for mapping of salt fresh water intrusions and evaluate the porosity in Carbyn\xe2\x80\x99s Cove, Wandoor and Khurumedhera Beaches in South Andaman</title>\n <geoform>journal article</geoform>\n <serinfo>\n <sername>Journal of Coastal Zone Management</sername>\n <issue>v. 18, no. 4</issue>\n </serinfo>\n <othercit>5 p.\ndoi: 10.4172/2473-3350.1000413</othercit>\n </citeinfo>\n </methcite>\n <methcite>\n <citeinfo>\n <origin>North Carolina Division of Water Resources</origin>\n <pubdate>2004</pubdate>\n <title>Time domain electromagnetic geophysics</title>\n <geoform>pamphlet</geoform>\n <onlink>http://www.ncwater.org/?page=562</onlink>\n </citeinfo>\n </methcite>\n <methcite>\n <citeinfo>\n <origin>Teeple, A.P., Vrabel, Joseph, Kress, W.H., and Cannia, J.C.</origin>\n <pubdate>2009</pubdate>\n <title>Apparent resistivity and estimated interaction potential of surface water and groundwater along selected canals and streams in the Elkhorn-Loup Model study area, north-central Nebraska, 2006-07</title>\n <geoform>document</geoform>\n <serinfo>\n <sername>Scientific Investigations Report</sername>\n <issue>2009-5171</issue>\n </serinfo>\n <othercit>66 p.</othercit>\n </citeinfo>\n </methcite>\n <methcite>\n <citeinfo>\n <origin>Geonics Limited (a)</origin>\n <pubdate>2006</pubdate>\n <title>Products-TEM47</title>\n <geoform>equipment</geoform>\n <onlink>http://www.geonics.com/html/tem47.html</onlink>\n </citeinfo>\n </methcite>\n <methcite>\n <citeinfo>\n <origin>Geonics Limited (b)</origin>\n <pubdate>2006</pubdate>\n <title>Products-TEM57</title>\n <geoform>equipment</geoform>\n <onlink>http://www.geonics.com/html/tem57-mk2.html</onlink>\n </citeinfo>\n </methcite>\n </method>\n <method>\n <methtype>Lab</methtype>\n <methdesc>Pre-processing: \n\nFor each sounding, the voltages measured from the eddy currents were averaged and evaluated statistically by using preprocessing scripts that use the raw field data (voltage data) and calculate the uncertainty of each time gate (discrete voltages measured at increasingly later times after shutoff of the current) independently. Variability observed in a time gate could represent signal noise or a systematic change not representative of stable data. A trimmed mean (Helsel and Hirsch, 2002) was calculated for each of the 10 stacks, and the resulting mean was stored in one sounding. The trimmed mean represents the central tendency of a dataset after a selected percentage of the highest and lowest values were removed. In this application, 10 percent of the data from each end of the distribution were removed, and a mean of the central 80 percent of the data was computed. The trimmed means were then compared to the noise sample and any values less than half of the associated electromagnetic background noise value were removed from the final sounding. This comparison of the trimmed means for the background soundings to the electromagnetic background noise is done because sounding data collected that approximates the background noise threshold have a higher variability and lower reliability with a lower signal to noise ratio. The final mean values for each time gate were saved as processed data files for use with the inversion software used for inverse modeling (Interpex Limited, 1996).</methdesc>\n <methcite>\n <citeinfo>\n <origin>Helsel, D.R. and Hirsch, R.M.</origin>\n <pubdate>2002</pubdate>\n <title>Statistical methods in water resources</title>\n <geoform>book chapter</geoform>\n <serinfo>\n <sername>Techniques of Water Resources Investigations</sername>\n <issue>book 4, chapter A3</issue>\n </serinfo>\n <othercit>522 p.</othercit>\n </citeinfo>\n </methcite>\n <methcite>\n <citeinfo>\n <origin>Interpex Limited</origin>\n <pubdate>1996</pubdate>\n <title>IX1D version 3 1D sounding inversion software</title>\n <geoform>software</geoform>\n <onlink>http://www.interpex.com</onlink>\n </citeinfo>\n </methcite>\n </method>\n <method>\n <methtype>Lab</methtype>\n <methdesc>Inverse Modeling:\n\nInverse modeling is the process of estimating the spatial distribution of subsurface resistivity from the measured voltage. The IX1D v3 program (proprietary software), developed by Interpex Limited (1996), was used for inverse modeling of the time-domain electromagnetic soundings. A smooth inverse model (a multilayered model that holds the depth values fixed and allows the resistivity values to vary during inversion) was fit to the data by using Occam\xe2\x80\x99s inversion principle, a preferred-homogeneity regularization condition (Constable and others, 1987). For this report, root mean square errors between the measured apparent resistivity and the calculated apparent resistivity of 10 percent or less were considered acceptable and included in the analysis. The root mean square error is derived from the residuals between the measured apparent resistivity and the calculated apparent resistivity by using following equation:\n\nRMSE=sqrt(1/n * sum(Mi-Ci )^2 )\n\nwhere\nRMSE is root mean square error,\nn is the number of observations,\ni is the given time step,\nM is the measured apparent resistivity at the given time step, and\nC is the calculated apparent resistivity at the given time step.\n\nThe inverse modeling results of the final processed time-domain electromagnetic data collected throughout the study area had a range of root mean square errors from 1.89 to 21.36 percent and a median of 3.90 percent; the root mean square errors of 96 percent of the soundings were less than 10 percent. Soundings with root mean square errors greater than 10 percent were used, but were given less consideration compared to soundings with root mean square errors that were less than 10 percent in the determination of hydrogeologic contacts (the tops and based of hydrogeologic units).\n\nThe final inversion results are included in this data release as a text file (TAAP_HB_TDEM_Processed.txt) along with a readme file (TAAP_HB_TDEM_Processed_readme.txt) detailing the structure of the text file. \n\nThe field notes, pre-processing files, and all other ancillary data files are archived internally on a server at the Oklahoma-Texas Water Science Center Austin Office and are available upon request.</methdesc>\n <methcite>\n <citeinfo>\n <origin>Interpex Limited</origin>\n <pubdate>1996</pubdate>\n <title>IX1D version 3 1D sounding inversion software</title>\n <geoform>software</geoform>\n <onlink>http://www.interpex.com</onlink>\n </citeinfo>\n </methcite>\n <methcite>\n <citeinfo>\n <origin>Constable, S.C., Parker, R.L., and Constable, C.G.</origin>\n <pubdate>1987</pubdate>\n <title>Occam\xe2\x80\x99s inversion-A practical algorithm for generating smooth models from EM sounding data</title>\n <geoform>journal article</geoform>\n <serinfo>\n <sername>Geophysics</sername>\n <issue>v. 52</issue>\n </serinfo>\n <othercit>p. 289-300.</othercit>\n </citeinfo>\n </methcite>\n </method>\n </lineage>\n <cloud>Unknown</cloud>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>Entity point</sdtstype>\n <ptvctcnt>20</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.0197816693</latres>\n <longres>0.0231685043</longres>\n <geogunit>Decimal seconds</geogunit>\n </geograph>\n <geodetic>\n <horizdn>WGS_1984</horizdn>\n <ellips>WGS_84</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257223563</denflat>\n </geodetic>\n </horizsys>\n <vertdef>\n <altsys>\n <altdatum>North American Vertical Datum of 1988</altdatum>\n <altres>1</altres>\n <altunits>meters</altunits>\n <altenc>Explicit elevation coordinate included with horizontal coordinates</altenc>\n </altsys>\n <depthsys>\n <depthdn>Local surface</depthdn>\n <depthres>1</depthres>\n <depthdu>meters</depthdu>\n <depthem>Attribute values</depthem>\n </depthsys>\n </vertdef>\n </spref>\n <eainfo>\n <overview>\n <eaover>The final, processed time-domain electromagnetic data (TDEM) are compiled in a text file (TAAP_HB_TDEM_processed.txt) along with a readme file (TAAP_HB_TDEM_processed_readme.txt) detailing the structure of the processed TDEM file. A zip file (TAAP_HB_TDEM_raw.zip) is also included in this data release containing the raw field data along with a readme file (TAAP_HB_TDEM_RAW_readme.txt) explaining in detail the format of the raw data files.\n\nThe sounding name in processed folder is different than sounding name in raw file. This is because the name in the raw file is automatically generated by the processing scripts and then it is changed to a study ID by the data processor. The table below can be used to link the names in the raw file to the final processed data file. The sounding name in the raw data file will include the line/sounding pair name from the table but also will include other unnecessary identifying info.\n\nFinal Site Name\t\tOriginal Site Name\nT-MW-010\t\t\tL1S1\nT-MW-030\t\t\tL1S3\nT-MW-041\t\t\tL1S41\nT-MW-042\t\t\tL1S42\nT-MW-050\t\t\tL1S5\nT-MW-060\t\t\tL1S6\nT-MW-071\t\t\tL1S71\nT-MW-072\t\t\tL1S72\nT-MW-085\t\t\tL1S85\nT-MW-100\t\t\tL1S10\nT-MW-110\t\t\tL1S11\nT-CP-001\t\t\tL3S1\nT-EP-004\t\t\tL3S2\nT-EP-002\t\t\tL3S3\nT-FP-007\t\t\tL3S4\nT-EP-003\t\t\tL3S5\nT-EP-001\t\t\tL3S6\nT-FP-002\t\t\tL3S7\nT-FP-001\t\t\tL3S8\nT-FP-004\t\t\tL3S9\n\nThe field notes, pre-processing files, and all other ancillary data files are archived internally on a server at the Oklahoma-Texas Water Science Center Austin Office and are available upon request.</eaover>\n <eadetcit>Producer defined.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntorgp>\n <cntpos>U.S. Geological Survey - Science Base</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of this data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200831</metd>\n <metc>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntorgp>\n <cntpos>Oklahoma-Texas Water Science Center Public Information Officer</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1505 Ferguson Lane</address>\n <city>Austin</city>\n <state>TX</state>\n <postal>78754</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>(512) 927-3500</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2021-06-03Start Date1980-01-01End Date2014-12-31Revision2022-06-21
## Citation
Sadler, J.M., Appling, A.P., Read, J.S., Oliver, S.K., Jia, X., Zwart, J.A., and Kumar, V., 2021, Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022): U.S. Geological Survey data release, https://doi.org/10.5066/P9U0TG8L.
## Summary
This item contains data and code used in experiments that produced the results for Sadler et. al (2022) (see below for full reference). We ran five experiments for the analysis, Experiment A, Experiment B, Experiment C, Experiment D, and Experiment AuxIn. Experiment A tested multi-task learning for predicting streamflow with 25 years of training data and using a different model for each of 101 sites. Experiment B tested multi-task learning for predicting streamflow with 25 years of training data and using a single model for all 101 sites. Experiment C tested multi-task learning for predicting streamflow with just 2 years of training data. Experiment D tested multi-task learning for predicting water temperature with over 25 years of \[...\]
## Summary
This item contains data and code used in experiments that produced the results for Sadler et. al (2022) (see below for full reference). We ran five experiments for the analysis, Experiment A, Experiment B, Experiment C, Experiment D, and Experiment AuxIn. Experiment A tested multi-task learning for predicting streamflow with 25 years of training data and using a different model for each of 101 sites. Experiment B tested multi-task learning for predicting streamflow with 25 years of training data and using a single model for all 101 sites. Experiment C tested multi-task learning for predicting streamflow with just 2 years of training data. Experiment D tested multi-task learning for predicting water temperature with over 25 years of training data. Experiment AuxIn used water temperature as an input variable for predicting streamflow. These experiments and their results are described in detail in the WRR paper. Data from a total of 101 sites across the US was used for the experiments. The model input data and streamflow data were from the Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) dataset (Newman et. al 2014, Addor et. al 2017). The water temperature data were gathered from the National Water Information System (NWIS) (U.S. Geological Survey, 2016). The contents of this item are broken into 13 files or groups of files aggregated into zip files:
01. **input\_data\_processing.zip**: A zip file containing the scripts used to collate the observations, input weather drivers, and catchment attributes for the multi-task modeling experiments
02. **flow\_observations.zip**: A zip file containing collated daily streamflow data for the sites used in multi-task modeling experiments. The streamflow data were originally accessed from the CAMELs dataset. The data are stored in csv and Zarr formats.
03. **temperature\_observations.zip**: A zip file containing collated daily water temperature data for the sites used in multi-task modeling experiments. The data were originally accessed via NWIS. The data are stored in csv and Zarr formats.
04. **temperature\_sites.geojson**: Geojson file of the locations of the water temperature and streamflow sites used in the analysis.
05. **model\_drivers.zip**: A zip file containing the daily input weather driver data for the multi-task deep learning models. These data are from the Daymet drivers and were collated from the CAMELS dataset. The data are stored in csv and Zarr formats.
06. **catchment\_attrs.csv**: Catchment attributes collatted from the CAMELS dataset. These data are used for the Random Forest modeling. For full metadata regarding these data see CAMELS dataset.
07. **experiment\_workflow\_files.zip**: A zip file containing workflow definitions used to run multi-task deep learning experiments. These are Snakemake workflows. To run a given experiment, one would run (for experiment A) 'snakemake -s expA\_Snakefile --configfile expA\_config.yml'
08. **river-dl-paper\_v0.zip**: A zip file containing python code used to run multi-task deep learning experiments. This code was called by the Snakemake workflows contained in 'experiment\_workflow\_files.zip'.
09. **random\_forest\_scripts.zip**: A zip file containing Python code and a Python Jupyter Notebook used to prepare data for, train, and visualize feature importance of a Random Forest model.
10. **plotting\_code.zip**: A zip file containing python code and Snakemake workflow used to produce figures showing the results of multi-task deep learning experiments.
11. **results.zip**: A zip file containing results of multi-task deep learning experiments. The results are stored in csv and netcdf formats. The netcdf files were used by the plotting libraries in 'plotting\_code.zip'. These files are for five experiments, 'A', 'B', 'C', 'D', and 'AuxIn'. These experiment names are shown in the file name.
12. **sample\_scripts.zip**: A zip file containing scripts for creating sample output to demonstrate how the modeling workflow was executed.
13. **sample\_output.zip**: A zip file containing sample output data. Similar files are created by running the sample scripts provided.
A. Newman; K. Sampson; M. P. Clark; A. Bock; R. J. Viger; D. Blodgett, 2014. A large-sample watershed-scale hydrometeorological dataset for the contiguous USA. Boulder, CO: UCAR/NCAR. https://dx.doi.org/10.5065/D6MW2F4D
N. Addor, A. Newman, M. Mizukami, and M. P. Clark, 2017. Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q
Sadler, J. M., Appling, A. P., Read, J. S., Oliver, S. K., Jia, X., Zwart, J. A., & Kumar, V. (2022). Multi-Task Deep Learning of Daily Streamflow and Water Temperature. Water Resources Research, 58(4), e2021WR030138. https://doi.org/10.1029/2021WR030138
U.S. Geological Survey, 2016, National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), accessed Dec. 2020.
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## Contacts
Point of Contact
:
[Jeffrey M Sadler](/catalog/catalogParty/show?partyId=77808)
Originator
:
[Jeffrey M Sadler](/catalog/catalogParty/show?partyId=77808),
[Alison P Appling](/catalog/catalogParty/show?partyId=68008),
[Jordan S Read](/catalog/catalogParty/show?partyId=60525),
[Samantha K Oliver](/catalog/catalogParty/show?partyId=74006),
[Xiaowei Jia](/catalog/catalogParty/show?partyId=78592),
[Jacob A Zwart](/catalog/catalogParty/show?partyId=74725),
[Vipin Kumar](/catalog/catalogParty/show?partyId=Vipin+Kumar)
Metadata Contact
:
[Jeffrey M Sadler](/catalog/catalogParty/show?partyId=77808),
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
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USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
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[Integrated Information Dissemination Division](/catalog/catalogParty/show?partyId=17101)
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| fgdc\_metadata.xml<br>_Original FGDC Metadata_ | View | 55.99 KB | application/fgdc+xml |
| sample\_scripts.zip | | 3.19 KB | application/zip |
| sample\_output.zip | | 823.6 KB | application/zip |
| random\_forest\_scripts.zip | | 2.55 KB | application/zip |
| river-dl-paper\_v0.zip | | 210.46 KB | application/zip |
| catchment\_attrs.csv | | 283.7 KB | text/csv |
| temperature\_sites.geojson | | 32.34 KB | text/plain |
| model\_drivers.zip | | 57.08 MB | application/zip |
| temperature\_observations.zip | | 4.82 MB | application/zip |
| flow\_observations.zip | | 16.97 MB | application/zip |
| input\_data\_processing.zip | | 4.71 KB | application/zip |
| catchment\_attrs.feather | | 157.04 KB | application/unknown |
| input\_files.zip | | 80.18 MB | application/zip |
| river\_dl-archive-paper\_v0.zip | | 206.3 KB | application/zip |
| experiment\_workflow\_files.zip | | 15.32 KB | application/zip |
| plotting\_code.zip | | 23.31 KB | application/zip |
| results.zip | | 249.98 MB | application/zip |
| revision\_history.txt | | 3.05 KB | text/plain |
## Purpose
Hydrology research.
## [Map](/catalog/item/imap/604a8e0ad34eb120311b2fc9)
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## Communities
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## Tags
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- [water](/catalog/items?q=&filter=tags%3Dwater "water (water, Theme, none)")
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## Provenance
Revision 1.1 by Jeff Sadler on June 21, 2022. To review the changes that were made, see “revision\_history.txt” in the attached files section.
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9U0TG8L |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Jeffrey M. Sadler</origin>\n <origin>Alison P. Appling</origin>\n <origin>Jordan S. Read</origin>\n <origin>Samantha K. Oliver</origin>\n <origin>Xiaowei Jia</origin>\n <origin>Jacob A. Zwart</origin>\n <origin>Vipin Kumar</origin>\n <pubdate>20210603</pubdate>\n <title>Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022)</title>\n <geoform>a comma-delimited files and a zipped files</geoform>\n <pubinfo>\n <pubplace>Online (digital release)</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9U0TG8L</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This item contains data and code used in experiments that produced the results for Sadler et. al (2022) (see below for full reference). We ran five experiments for the analysis, Experiment A, Experiment B, Experiment C, Experiment D, and Experiment AuxIn. Experiment A tested multi-task learning for predicting streamflow with 25 years of training data and using a different model for each of 101 sites. Experiment B tested multi-task learning for predicting streamflow with 25 years of training data and using a single model for all 101 sites. Experiment C tested multi-task learning for predicting streamflow with just 2 years of training data. Experiment D tested multi-task learning for predicting water temperature with over 25 years of training data. Experiment AuxIn used water temperature as an input variable for predicting streamflow. These experiments and their results are described in detail in the WRR paper. Data from a total of 101 sites across the US was used for the experiments. The model input data and streamflow data were from the Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) dataset (Newman et. al 2014, Addor et. al 2017). The water temperature data were gathered from the National Water Information System (NWIS) (U.S. Geological Survey, 2016). The contents of this item are broken into 13 files or groups of files aggregated into zip files:<br> <ol> <li> <strong>input_data_processing.zip</strong>: A zip file containing the scripts used to collate the observations, input weather drivers, and catchment attributes for the multi-task modeling experiments </li> <li> <strong>flow_observations.zip</strong>: A zip file containing collated daily streamflow data for the sites used in multi-task modeling experiments. The streamflow data were originally accessed from the CAMELs dataset. The data are stored in csv and Zarr formats.</li> <li> <strong>temperature_observations.zip</strong>: A zip file containing collated daily water temperature data for the sites used in multi-task modeling experiments. The data were originally accessed via NWIS. The data are stored in csv and Zarr formats. </li> <li> <strong>temperature_sites.geojson</strong>: Geojson file of the locations of the water temperature and streamflow sites used in the analysis.</li> <li> <strong>model_drivers.zip</strong>: A zip file containing the daily input weather driver data for the multi-task deep learning models. These data are from the Daymet drivers and were collated from the CAMELS dataset. The data are stored in csv and Zarr formats. </li> <li> <strong>catchment_attrs.csv</strong>: Catchment attributes collatted from the CAMELS dataset. These data are used for the Random Forest modeling. For full metadata regarding these data see CAMELS dataset.</li> <li> <strong>experiment_workflow_files.zip</strong>: A zip file containing workflow definitions used to run multi-task deep learning experiments. These are Snakemake workflows. To run a given experiment, one would run (for experiment A) \'snakemake -s expA_Snakefile --configfile expA_config.yml\' </li> <li> <strong>river-dl-paper_v0.zip</strong>: A zip file containing python code used to run multi-task deep learning experiments. This code was called by the Snakemake workflows contained in \'experiment_workflow_files.zip\'. </li> <li> <strong>random_forest_scripts.zip</strong>: A zip file containing Python code and a Python Jupyter Notebook used to prepare data for, train, and visualize feature importance of a Random Forest model.</li> <li> <strong>plotting_code.zip</strong>: A zip file containing python code and Snakemake workflow used to produce figures showing the results of multi-task deep learning experiments. </li> <li> <strong>results.zip</strong>: A zip file containing results of multi-task deep learning experiments. The results are stored in csv and netcdf formats. The netcdf files were used by the plotting libraries in \'plotting_code.zip\'. These files are for five experiments, \'A\', \'B\', \'C\', \'D\', and \'AuxIn\'. These experiment names are shown in the file name. </li> <li> <strong>sample_scripts.zip</strong>: A zip file containing scripts for creating sample output to demonstrate how the modeling workflow was executed.</li> <li> <strong>sample_output.zip</strong>: A zip file containing sample output data. Similar files are created by running the sample scripts provided.</li> </ol>\nA. Newman; K. Sampson; M. P. Clark; A. Bock; R. J. Viger; D. Blodgett, 2014. A large-sample watershed-scale hydrometeorological dataset for the contiguous USA. Boulder, CO: UCAR/NCAR. https://dx.doi.org/10.5065/D6MW2F4D <br><br>\nN. Addor, A. Newman, M. Mizukami, and M. P. Clark, 2017. Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q <br><br>\nSadler, J. M., Appling, A. P., Read, J. S., Oliver, S. K., Jia, X., Zwart, J. A., & Kumar, V. (2022). Multi-Task Deep Learning of Daily Streamflow and Water Temperature. Water Resources Research, 58(4), e2021WR030138. https://doi.org/10.1029/2021WR030138 <br> <br>\nU.S. Geological Survey, 2016, National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), accessed Dec. 2020. <br><br></abstract>\n <purpose>Hydrology research.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>19800101</begdate>\n <enddate>20141231</enddate>\n </rngdates>\n </timeinfo>\n <current>See publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>none planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-123.83178</westbc>\n <eastbc>-67.93524</eastbc>\n <northbc>48.82292</northbc>\n <southbc>27.052</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>none</themekt>\n <themekey>machine learning</themekey>\n <themekey>deep learning</themekey>\n <themekey>hybrid modeling</themekey>\n <themekey>water</themekey>\n <themekey>temperature</themekey>\n <themekey>modeling</themekey>\n <themekey>streamflow</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>environment</themekey>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>water resources</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:604a8e0ad34eb120311b2fc9</themekey>\n </theme>\n <place>\n <placekt>Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4, Washington, D.C., National Institute of Standards and Technology</placekt>\n <placekey>United States</placekey>\n <placekey>US</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>These data are open access usable via creative commons as long as original data providers are acknowledged</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Jeffrey M. Sadler</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Research Hydrologist</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>8505 Research Way</address>\n <city>Middleton</city>\n <state>WI</state>\n <postal>53562</postal>\n <country>U.S.A.</country>\n </cntaddr>\n <cntvoice>608-821-3922</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>This research used resources of the Core Science Analytics and Synthesis Advanced Research Computing program at the U.S. Geological Survey. Prototype models were tested using resources from the Pangeo project.</datacred>\n <native>Multiple computer systems were used to generate these data, including Linux. The open source languages R and Python were used on all systems.</native>\n <descgeog>Water temperature and streamflow monitoring locations defined by the U.S. Geological Survey.</descgeog>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>Not applicable</logic>\n <complete>Not applicable</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the dataset was not conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the dataset was not conducted.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2020</pubdate>\n <title>USGS National Water Information System (NWIS)</title>\n <geoform>a comma-delimited files and a zipped files</geoform>\n <onlink>https://waterdata.usgs.gov/nwis</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19800101</begdate>\n <enddate>20141231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>access date</srccurr>\n </srctime>\n <srccitea>NWIS</srccitea>\n <srccontr>Water temperature observations</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>A. Newman</origin>\n <origin>K. Sampson</origin>\n <origin>M. P. Clark</origin>\n <origin>A. Bock</origin>\n <origin>R. J. Viger</origin>\n <origin>D. Blodgett</origin>\n <pubdate>2014</pubdate>\n <title>A large-sample watershed-scale hydrometeorological dataset for the contiguous USA.</title>\n <geoform>a comma-delimited files and a zipped files</geoform>\n <onlink>UCAR/NCAR. https://dx.doi.org/10.5065/D6MW2F4D</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19800101</begdate>\n <enddate>20141231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>access date</srccurr>\n </srctime>\n <srccitea>CAMELS</srccitea>\n <srccontr>Streamflow observations and meteorlogical forcings</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>N. Addor</origin>\n <origin>A. Newman</origin>\n <origin>M. Mizukami</origin>\n <origin>M. P. Clark</origin>\n <pubdate>2017</pubdate>\n <title>Catchment attributes for large-sample studies</title>\n <geoform>a comma-delimited files and a zipped files</geoform>\n <onlink>https://doi.org/10.5065/D6G73C3Q</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19800101</begdate>\n <enddate>20141231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>access date</srccurr>\n </srctime>\n <srccitea>CAMELS</srccitea>\n <srccontr>Attributes of catchments draining to streamflow and water temperature observation sites</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Meteorological data, streamflow observations, and water temperature observations were used to train deep learning modelsfor many stations across the conterminous United States. The models were developed in the TensorFlow deep learning framework in the Python programming language. Before model training, the data were processed using Python scripts that scaled and centered the data. Once the models were trained, they were evaluated by comparing observations to predictions. More details about the processing of the data and the deep learning models can be found in the corresponding scientific publication (LINK TO PUB).</procdesc>\n <procdate>20220601</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spref>\n <horizsys>\n <geograph>\n <latres>1e-05</latres>\n <longres>1e-05</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>WGS84</horizdn>\n <ellips>WGS_1984</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>input_data_processing.zip</enttypl>\n <enttypd>A zip file containing the scripts used to collate the observations, input weather drivers, and catchment attributes for the multi-task modeling experiments</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>flow_observations.zip</enttypl>\n <enttypd>A zip file containing collated daily streamflow data for the sites used in multi-task modeling experiments. The streamflow data were originally accessed from the CAMELs dataset. The data are stored in csv and Zarr formats.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>date</attrlabl>\n <attrdef>Date on which the observation was made</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1980-01-01</rdommin>\n <rdommax>2014-12-31</rdommax>\n <attrunit>days</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>seg_id_nat</attrlabl>\n <attrdef>The 8-digit USGS NWIS site code</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <udom>unique identifier for each USGS site in the dataset</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>code</attrlabl>\n <attrdef>The NWIS code representing the quality of the data. A means "Approved", A:e means "Approved and edited by USGS staff", M means "Missing"</attrdef>\n <attrdefs>Source-defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>A</edomv>\n <edomvd>Approved</edomvd>\n <edomvds>Source defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>A:e</edomv>\n <edomvd>Approved and edited or estimated by USGS staff</edomvd>\n <edomvds>Source defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>M</edomv>\n <edomvd>Missing</edomvd>\n <edomvds>Source defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>discharge_cms</attrlabl>\n <attrdef>the discharge (volumetric flow) observed</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>2280</rdommax>\n <attrunit>cubic meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>temperature_observations.zip</enttypl>\n <enttypd>A zip file containing collated daily water temperature data for the sites used in multi-task modeling experiments. The data were originally accessed via NWIS. The data are stored in csv and Zarr formats.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>date</attrlabl>\n <attrdef>Date on which the observation was made</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1980-01-01</rdommin>\n <rdommax>2014-12-31</rdommax>\n <attrunit>days</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>seg_id_nat</attrlabl>\n <attrdef>The 8-digit USGS NWIS site code</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <udom>unique identifier for each USGS site in the dataset</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>temp_c</attrlabl>\n <attrdef>The water temperature observed</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>34.6</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>model_drivers.zip</enttypl>\n <enttypd>A zip file containing the daily input weather driver data for the multi-task deep learning models. These data are from the Daymet drivers and were collated from the CAMELS dataset. The data are stored in csv and Zarr formats.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>date</attrlabl>\n <attrdef>Date on which the observation was made</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1980-01-01</rdommin>\n <rdommax>2014-12-31</rdommax>\n <attrunit>days</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>seg_id_nat</attrlabl>\n <attrdef>The 8-digit USGS NWIS site code</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <udom>unique identifier for each USGS site in the dataset</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>dayl_s</attrlabl>\n <attrdef>Duration of the daylight period in seconds per day. This calculation is based on the period of the day during which the sun is above a hypothetical flat horizon</attrdef>\n <attrdefs>"Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 https://doi.org/10.3334/ORNLDAAC/1840"</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>23030</rdommin>\n <rdommax>57370</rdommax>\n <attrunit>seconds</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>precp_mm_day</attrlabl>\n <attrdef>Daily total precipitation in millimeters per day, sum of all forms converted to water-equivalent. Precipitation occurrence on any given day may be ascertained.</attrdef>\n <attrdefs>"Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 https://doi.org/10.3334/ORNLDAAC/1840"</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>200</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>srad_W_m2</attrlabl>\n <attrdef>"Incident shortwave radiation flux density in watts per square meter, taken as an average over the daylight period of the day. NOTE: Daily total radiation (MJ/m2/day) can be calculated as follows: ((srad (W/m2) * dayl (s/day)) / l,000,000)"</attrdef>\n <attrdefs>"Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 https://doi.org/10.3334/ORNLDAAC/1840"</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>13.05</rdommin>\n <rdommax>800</rdommax>\n <attrunit>watts per meter squared</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>swe_mm</attrlabl>\n <attrdef>Snow water equivalent in kilograms per square meter. The amount of water contained within the snowpack.</attrdef>\n <attrdefs>"Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 https://doi.org/10.3334/ORNLDAAC/1840"</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>mm</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>tmax_C</attrlabl>\n <attrdef>Daily maximum 2-meter air temperature in degrees Celsius.</attrdef>\n <attrdefs>"Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 https://doi.org/10.3334/ORNLDAAC/1840"</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-31.7</rdommin>\n <rdommax>43.45</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>tmin_C</attrlabl>\n <attrdef>Daily minimum 2-meter air temperature in degrees Celsius.</attrdef>\n <attrdefs>"Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 https://doi.org/10.3334/ORNLDAAC/1840"</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-44.96</rdommin>\n <rdommax>27.44</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>vp_Pa</attrlabl>\n <attrdef>Water vapor pressure in pascals. Daily average partial pressure of water vapor.</attrdef>\n <attrdefs>"Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 https://doi.org/10.3334/ORNLDAAC/1840"</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>3584</rdommax>\n <attrunit>Pascals</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>catchment_attrs.csv</enttypl>\n <enttypd>Catchment attributes collated from the CAMELS dataset. These data are used for the Random Forest modeling. For full metadata regarding these data see CAMELS dataset.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>elev_mean</attrlabl>\n <attrdef>catchment mean elevation</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10.21</rdommin>\n <rdommax>3571.18</rdommax>\n <attrunit>meter above sea level</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>slope_mean</attrlabl>\n <attrdef>catchment mean slope</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.822</rdommin>\n <rdommax>255.688</rdommax>\n <attrunit>m/km</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>area_gages2</attrlabl>\n <attrdef>catchment area (GAGESII estimate)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4.03</rdommin>\n <rdommax>25791.04</rdommax>\n <attrunit>km2</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>p_mean</attrlabl>\n <attrdef>mean daily precipitation</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.645</rdommin>\n <rdommax>8.937</rdommax>\n <attrunit>mm/day</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pet_mean</attrlabl>\n <attrdef>mean daily PET [estimated by N15 using Priestley-Taylor formulation calibrated for each catchment]</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.899</rdommin>\n <rdommax>4.744</rdommax>\n <attrunit>mm/day</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>aridity</attrlabl>\n <attrdef>aridity (PET/P, ratio of mean PET [estimated by N15 using Priestley-Taylor formulation calibrated for each catchment] to mean precipitation)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.22</rdommin>\n <rdommax>5.208</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>p_seasonality</attrlabl>\n <attrdef>seasonality and timing of precipitation (estimated using sine curves to represent the annual temperature and preciptiation cycles, positive [negative] values indicate that precipitation peaks in summer [winter], values close to 0 indicate uniform precipitation throughout the year)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-1.435</rdommin>\n <rdommax>0.922</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>frac_snow</attrlabl>\n <attrdef>fraction of precipitation falling as snow (i.e., on days colder than 0 deg C)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0.906</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>high_prec_freq</attrlabl>\n <attrdef>frequency of high precipitation days ( >= 5 times mean daily precipitation)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>7.9</rdommin>\n <rdommax>32.7</rdommax>\n <attrunit>days/year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>high_prec_dur</attrlabl>\n <attrdef>average duration of high precipitation events (number of consecutive days >= 5 times mean daily precipitation)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.075</rdommin>\n <rdommax>2.091</rdommax>\n <attrunit>days</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>low_prec_freq</attrlabl>\n <attrdef>frequency of dry days ( <1 mm/day)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>169.9</rdommin>\n <rdommax>348.7</rdommax>\n <attrunit>days/year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>low_prec_dur</attrlabl>\n <attrdef>average duration of dry periods (number of consecutive days <1 mm/day)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2.789</rdommin>\n <rdommax>36.513</rdommax>\n <attrunit>days</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>baseflow_index</attrlabl>\n <attrdef>baseflow index (ratio of mean daily baseflow to mean daily discharge, hydrograph separation performed using Ladson et al. [2013] digital filter)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.007</rdommin>\n <rdommax>0.978</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>frac_forest</attrlabl>\n <attrdef>forest fraction</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>lai_max</attrlabl>\n <attrdef>maximum monthly mean of the leaf area index (based on 12 monthly means)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.367</rdommin>\n <rdommax>5.582</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>lai_diff</attrlabl>\n <attrdef>difference between the maximum and mimumum monthly mean of the leaf area index (based on 12 monthly means)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.154</rdommin>\n <rdommax>4.831</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>gvf_max</attrlabl>\n <attrdef>maximum monthly mean of the green vegetation fraction (based on 12 monthly means)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.184</rdommin>\n <rdommax>0.916</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>gvf_diff</attrlabl>\n <attrdef>difference between the maximum and mimumum monthly mean of the green vegetation fraction (based on 12 monthly means)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.029</rdommin>\n <rdommax>0.652</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>soil_depth_pelletier</attrlabl>\n <attrdef>depth to bedrock (maximum 50m)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.267</rdommin>\n <rdommax>50</rdommax>\n <attrunit>m</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>soil_depth_statsgo</attrlabl>\n <attrdef>soil depth (maximum 1.5m, layers marked as water and bedrock were excluded)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.4</rdommin>\n <rdommax>1.5</rdommax>\n <attrunit>m</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>soil_porosity</attrlabl>\n <attrdef>volumetric porosity (saturated volumetric water content estimated using a multiple linear regression based on sand and clay fraction for the layers marked as USDA soil texture class and a default value [0.9] for layers marked as organic material, layers marked as water, bedrock and "other" were excluded)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.373</rdommin>\n <rdommax>0.68</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>soil_conductivity</attrlabl>\n <attrdef>saturated hydraulic conductivity (estimated using a multiple linear regression based on sand and clay fraction for the layers marked as USDA soil texture class and a default value [36cm/hr] for layers marked as organic material, layers marked as water, bedrock and "other" were excluded)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.447</rdommin>\n <rdommax>13.956</rdommax>\n <attrunit>cm/hr</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>max_water_content</attrlabl>\n <attrdef>maximum water content (combination of porosity and soil_depth_statgso, layers marked as water, bedrock and "other" were excluded)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.087</rdommin>\n <rdommax>1.052</rdommax>\n <attrunit>m</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>sand_frac</attrlabl>\n <attrdef>sand fraction (of the soil material smaller than 2 mm, layers marked as oragnic material, water, bedrock and "other" were excluded)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8.184</rdommin>\n <rdommax>91.976</rdommax>\n <attrunit>%</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>silt_frac</attrlabl>\n <attrdef>silt fraction (of the soil material smaller than 2 mm, layers marked as oragnic material, water, bedrock and "other" were excluded)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2.985</rdommin>\n <rdommax>67.775</rdommax>\n <attrunit>%</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>clay_frac</attrlabl>\n <attrdef>clay fraction (of the soil material smaller than 2 mm, layers marked as oragnic material, water, bedrock and "other" were excluded)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.846</rdommin>\n <rdommax>50.354</rdommax>\n <attrunit>%</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>carbonate_rocks_frac</attrlabl>\n <attrdef>fraction of the catchment area characterized as "Carbonate sedimentary rocks"</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>geol_permeability</attrlabl>\n <attrdef>subsurface permeability (log10)</attrdef>\n <attrdefs>\'Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-16.5</rdommin>\n <rdommax>-10.9</rdommax>\n <attrunit>m2</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>discharge_cms</attrlabl>\n <attrdef>mean annual discharge</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.277</rdommin>\n <rdommax>242.009</rdommax>\n <attrunit>cubic meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>random</attrlabl>\n <attrdef>a random number</attrdef>\n <attrdefs>\'NA\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>5</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n_obs_1</attrlabl>\n <attrdef>Total number of temperature observations in the month of January for each site</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1076</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n_obs_2</attrlabl>\n <attrdef>Total number of temperature observations in the month of February for each site</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>958</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n_obs_3</attrlabl>\n <attrdef>Total number of temperature observations in the month of March for each site</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1056</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n_obs_4</attrlabl>\n <attrdef>Total number of temperature observations in the month of April for each site</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1037</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n_obs_5</attrlabl>\n <attrdef>Total number of temperature observations in the month of May for each site</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1077</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n_obs_6</attrlabl>\n <attrdef>Total number of temperature observations in the month of June for each site</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1033</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n_obs_7</attrlabl>\n <attrdef>Total number of temperature observations in the month of July for each site</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1073</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n_obs_8</attrlabl>\n <attrdef>Total number of temperature observations in the month of August for each site</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1080</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n_obs_9</attrlabl>\n <attrdef>Total number of temperature observations in the month of September for each site</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1044</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n_obs_10</attrlabl>\n <attrdef>Total number of temperature observations in the month of October for each site</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1080</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n_obs_11</attrlabl>\n <attrdef>Total number of temperature observations in the month of November for each site</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1026</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n_obs_12</attrlabl>\n <attrdef>Total number of temperature observations in the month of December for each site</attrdef>\n <attrdefs>\'Producer defined\'</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1072</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>experiment_workflow_files.zip</enttypl>\n <enttypd>A zip file containing workflow definitions used to run multi-task deep learning experiments. These are Snakemake workflows. To run a given experiment, one would run (for experiment A) \'snakemake -s expA_Snakefile --configfile expA_config.yml\'</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>river_dl-archive-paper_v0.zip</enttypl>\n <enttypd>A zip file containing python code used to run multi-task deep learning experiments. This code was called by the Snakemake workflows contained in \'experiment_workflow_files.zip\'.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>random_forest_scripts.zip</enttypl>\n <enttypd>A zip file containing Python code and a Python Jupyter Notebook used to prepare data for, train, and visualize feature importance of a Random Forest model.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>plotting_code.zip</enttypl>\n <enttypd>A zip file containing python code and Snakemake workflow used to produce figures showing the results of multi-task deep learning experiments.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>results.zip</enttypl>\n <enttypd>A zip file containing results of multi-task deep learning experiments. The same results are stored in csv and netcdf formats. The netcdf files were used by the plotting libraries in \'plotting_code.py\'. These files are for three experiments, \'A\', \'B\', \'C\', \'D\', and \'AuxIn\'. These experiment names are shown in the file name (i.e., \'Exp{A, B, C, D, AuxIn}_overall_metrics.{nc, csv}\' and \'ExpA_month_metrics.{nc, csv}\'). The attributes (columns in the csv files) are the same in all files except for the \'ExpA_month_metrics.{nc, csv}\' files which have the \'month\' attribute.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>lamb</attrlabl>\n <attrdef>Short for lambda. This was a parameter that scaled the impact of the secondary task in the multi-task experiments.</attrdef>\n <attrdefs>Producer-defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>320</rdommax>\n <attrunit>dimensionless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>model</attrlabl>\n <attrdef>Which model was being used to produce the result.</attrdef>\n <attrdefs>Producer-defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>LSTM</edomv>\n <edomvd>Long short term memory</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>partition</attrlabl>\n <attrdef>Which partition (trn=\'train\', tst=\'test\', ver=\'verification\') was being used to produce the result. Note the \'tst\' set was used to tune hyper-parameters and the \'ver\' set was used to evaluate the models.</attrdef>\n <attrdefs>Producer-defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>trn</edomv>\n <edomvd>the training partition</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>tst</edomv>\n <edomvd>The test partition (referred to as "val" in the manuscript)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ver</edomv>\n <edomvd>The verification partition (referred to as "ver" in the manuscript)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>primary_var</attrlabl>\n <attrdef>The primary variable used to train the model (either \'flow\' or \'temp\').</attrdef>\n <attrdefs>Producer-defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>flow</edomv>\n <edomvd>Stream discharge</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>temp</edomv>\n <edomvd>Stream temperature</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>run_id</attrlabl>\n <attrdef>The id of the replicate that produced the results.</attrdef>\n <attrdefs>Producer-defined</attrdefs>\n <attrdomv>\n <udom>Unique identifier for each run</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>seg_id_nat</attrlabl>\n <attrdef>The id of the segment or site. These are the 8-digit USGS site codes.</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <udom>unique identifier for each USGS site in the dataset</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>variable</attrlabl>\n <attrdef>The variable for which the results are (either \'flow\' or \'temp\').</attrdef>\n <attrdefs>Producer-defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>flow</edomv>\n <edomvd>Stream discharge</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>temp</edomv>\n <edomvd>Stream temperature</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>date</attrlabl>\n <attrdef>The month of the year</attrdef>\n <attrdefs>Producer-defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>12</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>rmse</attrlabl>\n <attrdef>The root mean squared error of the model predictions.</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>449.4</rdommax>\n <attrunit>degrees Celsius for temperature predictions and cubic meters per second for flow predictions</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>nse</attrlabl>\n <attrdef>The Nash-Sutcliffe Efficiency score of the model predictions.</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-inf</rdommin>\n <rdommax>1</rdommax>\n <attrunit>dimensionless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>rmse_top10</attrlabl>\n <attrdef>The root mean squared error for the highest 10 percentile of the predictions.</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>865</rdommax>\n <attrunit>degrees Celsius for temperature predictions and cubic meters per second for flow predictions</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>rmse_bot10</attrlabl>\n <attrdef>The root mean squared error for the lowest 10 percentile of the predictions.</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>508</rdommax>\n <attrunit>degrees Celsius for temperature predictions and cubic meters per second for flow predictions</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>rmse_logged</attrlabl>\n <attrdef>The root mean squared error of the logged predictions.</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>inf</rdommax>\n <attrunit>logged degrees Celsius for temperature predictions and logged cubic meters per second for flow predictions</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>nse_top10</attrlabl>\n <attrdef>The Nash-Sutcliffe Efficiency for the highest 10 percentile of the predictions.</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-inf</rdommin>\n <rdommax>1</rdommax>\n <attrunit>dimensionless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>nse_bot10</attrlabl>\n <attrdef>The Nash-Sutcliffe Efficiency for the lowest 10 percentile of the predictions.</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-inf</rdommin>\n <rdommax>1</rdommax>\n <attrunit>dimensionless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>nse_logged</attrlabl>\n <attrdef>The Nash-Sutcliffe Efficiency of the logged predictions.</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-inf</rdommin>\n <rdommax>1</rdommax>\n <attrunit>dimensionless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>kge</attrlabl>\n <attrdef>The Kling-Gupta Efficiency of the predictions.</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-1785</rdommin>\n <rdommax>1</rdommax>\n <attrunit>dimensionless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>sample_output.zip</enttypl>\n <enttypd>A zip file containing sample data that were produced by running the experiment workflows for one monitoring site, one experiment, one value of lambda, one primary variable, and one set of initial model parameters (weights and biases). The zip file contains 1) the preprocessed data ("prepped.npz"), 2) the training log, "finetune_log.csv", 3) the overall metrics for the model run, "overall_metrics.csv", 4) the performance metrics broken out by month, "month_metrics.csv", 5) a record of the time it took to train the model, "training_time.txt", 6) the training set predictions, "trn_preds.feather", 7) the validation set predictions (in the workflow the prefix is "tst"), "tst_preds.feather", and 8) the verification set predictions, "ver_preds.feather".</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>sample_scripts.zip</enttypl>\n <enttypd>Scripts and accompanying instructions to produce sample output data. The file names and formats will be the same as what is found in "sample_output.zip", however, the exact numbers in the data will differ some based on different random initializations in models. The zip file contains 1) instructions for executing the sample run, "sample_run_instructions.md", 2) a Snakemake workflow file, "Snakefile", and 3) a configuration file used by Snakemake, "sample_config.yml".</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80255</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>a comma-delimited files and a zipped files</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9U0TG8L</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20220621</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Jeffrey M. Sadler</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Research Hydrologist</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>8505 Research Way</address>\n <city>Middleton</city>\n <state>WI</state>\n <postal>53562</postal>\n <country>U.S.A.</country>\n </cntaddr>\n <cntvoice>608-821-3921</cntvoice>\n <cntfax>608-821-3817</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [National Water-Quality Assessment Project](/catalog/item/5522f784e4b027f0aee3d0c3)
3. [Groundwater Studies](/catalog/item/57c637cfe4b0f2f0cebdac6d)
4. [Groundwater Assessment & Mapping](/catalog/item/57d1e299e4b0571647cfd4ab)
5. [Geochemical Correction of Carbon-14 in Dissolved Inorganic Carbon used for Groundwater Age Dating in the Glacial Aquifer System, Conterminous United States](/catalog/folder/59c2cdf8e4b091459a61d464)
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## Dates
Publication Date2019-03-01Time Period2017
## Citation
Solder, J.E., and Jurgens, B.C., 2019, Geo-chemical Correction of Carbon-14 in Dissolved Inorganic Carbon used for Groundwater Age Dating in the Glacial Aquifer System, Conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/F7JW8C3G.
## Summary
Data provided here describe geochemical correction of carbon-14 in dissolved inorganic carbon (DIC) for groundwater age dating. Datasets include major ion chemistry of groundwater samples, model parameter inputs, and final corrected carbon-14 in DIC. Geochemical correction was completed in two phases: determination of reactive phase mole transfers through an inverse geochemical model (PHREEQC; Parkhurst and Appleo, 1992) and tracking of isotopic mass transfer among phases (NetpathXL; Parkhusrtand Charlton, 2008). Parkhurst, D.L., and Appelo, C.A.J., 2013, Description of input and examples for PHREEQC version 3—A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations: U.S. Geological \[...\]
## Summary
Data provided here describe geochemical correction of carbon-14 in dissolved inorganic carbon (DIC) for groundwater age dating. Datasets include major ion chemistry of groundwater samples, model parameter inputs, and final corrected carbon-14 in DIC. Geochemical correction was completed in two phases: determination of reactive phase mole transfers through an inverse geochemical model (PHREEQC; Parkhurst and Appleo, 1992) and tracking of isotopic mass transfer among phases (NetpathXL; Parkhusrtand Charlton, 2008).
Parkhurst, D.L., and Appelo, C.A.J., 2013, Description of input and examples for PHREEQC version 3—A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations: U.S. Geological Survey Techniques and Methods, book 6, chap. A43, 497 p., available only at https://pubs.usgs.gov/tm/06/a43/.
Parkhurst, D.L., and Charlton, S.R., 2008, NetpathXL—An Excel® interface to the program NETPATH: U.S. Geological Survey Techniques and Methods 6–A26, 11 p., https://pubs.usgs.gov/tm/06A26/.
## Contacts
Point of Contact
:
[John E Solder](/catalog/catalogParty/show?partyId=59762)
Originator
:
[John E Solder](/catalog/catalogParty/show?partyId=59762),
[Bryant C. Jurgens](/catalog/catalogParty/show?partyId=5262)
Metadata Contact
:
[John E Solder](/catalog/catalogParty/show?partyId=59762)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
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| Geo-chemical Correction of Carbon-14 in Dissolved Inorganic Carbon Metadata..xml<br>“Metadata”<br>_Original FGDC Metadata_ | View | 54.82 KB | application/fgdc+xml |
| Glacial\_GeochemCorr14C.zip | | 34.82 MB | application/zip |
## Purpose
Data were obtained to determine apparent groundwater ages in effort to determine the intrinsic susceptibility of groundwater wells.
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## Provenance
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## Additional Information
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| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7JW8C3G |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>John E. Solder</origin>\n <origin>Bryant Jurgens</origin>\n <pubdate>2018</pubdate>\n <title>Geo-chemical Correction of Carbon-14 in Dissolved Inorganic Carbon used for Groundwater Age Dating in the Glacial Aquifer System, Conterminous United States</title>\n <geoform>tabular digital data</geoform>\n <pubinfo>\n <pubplace>Sacramento, CA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Solder, J.E., and Jurgens, B.C., 2018, Geo-chemical Correction of Carbon-14 in Dissolved Inorganic Carbon used for Groundwater Age Dating in the Glacial Aquifer System, Conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/F7JW8C3G.</othercit>\n <onlink>https://doi.org/10.5066/F7JW8C3G</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Data provided here describe geochemical correction of carbon-14 in dissolved inorganic carbon (DIC) for groundwater age dating. Datasets include major ion chemistry of groundwater samples, model parameter inputs, and final corrected carbon-14 in DIC. Geochemical correction was completed in two phases: determination of reactive phase mole transfers through an inverse geochemical model (PHREEQC; Parkhurst and Appleo, 1992) and tracking of isotopic mass transfer among phases (NetpathXL; Parkhusrtand Charlton, 2008).</abstract>\n <purpose>Data were obtained to determine apparent groundwater ages in effort to determine the intrinsic susceptibility of groundwater wells.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>2017</caldate>\n </sngdate>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-125.0683593736</westbc>\n <eastbc>-66.005859375956</eastbc>\n <northbc>48.893327701388</northbc>\n <southbc>36.279354494087</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>groundwater quality</themekey>\n <themekey>geochemical processes</themekey>\n <themekey>mathematical simulation</themekey>\n <themekey>hydrogeology</themekey>\n <themekey>water chemistry</themekey>\n <themekey>soil sciences</themekey>\n <themekey>soil chemistry</themekey>\n <themekey>groundwater</themekey>\n <themekey>Quaternary</themekey>\n <themekey>Pleistocene</themekey>\n <themekey>Holocene</themekey>\n <themekey>Cenozoic</themekey>\n </theme>\n <theme>\n <themekt>USGS Information products</themekt>\n <themekey>data release</themekey>\n </theme>\n <theme>\n <themekt>Lithclass6.2</themekt>\n <themekey>glacial drift</themekey>\n </theme>\n <theme>\n <themekt>National Agricultural Library Thesaurus</themekt>\n <themekey>atmospheric chemistry</themekey>\n <themekey>rain</themekey>\n <themekey>carbon cycle</themekey>\n <themekey>soil-plant-atmosphere interactions</themekey>\n <themekey>vadose zone</themekey>\n <themekey>minerals</themekey>\n <themekey>carbonate minerals</themekey>\n <themekey>carbonate rocks</themekey>\n <themekey>glacial deposits</themekey>\n <themekey>soil water</themekey>\n <themekey>groundwater flow</themekey>\n <themekey>unsaturated flow</themekey>\n <themekey>glacial soils</themekey>\n <themekey>soil chemistry</themekey>\n <themekey>exchangeable cations</themekey>\n <themekey>stable isotopes</themekey>\n <themekey>calcium</themekey>\n <themekey>magnesium</themekey>\n <themekey>dissolved carbon dioxide</themekey>\n <themekey>chemical equilibrium</themekey>\n <themekey>chemical precipitation</themekey>\n <themekey>chemical speciation</themekey>\n <themekey>half life</themekey>\n <themekey>thermodynamics</themekey>\n <themekey>isotope fractionation</themekey>\n <themekey>gas exchange</themekey>\n <themekey>dissolved gases</themekey>\n <themekey>dissolved carbon dioxide</themekey>\n <themekey>geochemistry</themekey>\n <themekey>hydrogeochemistry</themekey>\n <themekey>carbon cycle</themekey>\n <themekey>water analysis</themekey>\n <themekey>chemical equilibrium</themekey>\n <themekey>chemical interactions</themekey>\n <themekey>chemical precipitation</themekey>\n <themekey>chemical speciation</themekey>\n <themekey>aqueous solutions</themekey>\n <themekey>alkalinity</themekey>\n <themekey>solubility</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>cycle 3</themekey>\n <themekey>NAWQA</themekey>\n <themekey>groundwater</themekey>\n <themekey>water quality</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:59c2cdf8e4b091459a61d464</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Maine</placekey>\n <placekey>New Hampshire</placekey>\n <placekey>Vermont</placekey>\n <placekey>New Jersey</placekey>\n <placekey>Connecticut</placekey>\n <placekey>New York</placekey>\n <placekey>Illinois</placekey>\n <placekey>Indiana</placekey>\n <placekey>Iowa</placekey>\n <placekey>Michigan</placekey>\n <placekey>Minnesota</placekey>\n <placekey>Wisconsin</placekey>\n <placekey>Massachusetts</placekey>\n <placekey>Rhode Island</placekey>\n <placekey>Pennsylvania</placekey>\n <placekey>Ohio</placekey>\n <placekey>Missouri</placekey>\n <placekey>Kansas</placekey>\n <placekey>Nebraska</placekey>\n <placekey>South Dakota</placekey>\n <placekey>North Dakota</placekey>\n <placekey>Montana</placekey>\n <placekey>Idaho</placekey>\n <placekey>Washington</placekey>\n <placekey>Michigan</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>None. Users are advised to read the data set\'s metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>John E. Solder</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>2329 West Orton Cir.</address>\n <city>West Valley City</city>\n <state>UT</state>\n <postal>84119</postal>\n <country>U.S.A.</country>\n </cntaddr>\n <cntvoice>801-908-5044</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>U.S. Geological Survey National Water Quality Assessment (NAWQA) Project</datacred>\n <native>Tables are provided in a variety of formats, depending on their use, including Microsoft Excel (.xlsx and .xlsm), comma-separated values file (.csv), and PHREEQC .pqi and .pqo input and output files.</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>Logical accuracy of model input and output files were verified by running of models in the designated software.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Terri L. Arnold</origin>\n <origin>Leslie Desimone</origin>\n <origin>Laura M. Bexfield</origin>\n <origin>Bruce D. Lindsey</origin>\n <origin>Jeannie R. Barlow</origin>\n <origin>Justin T. Kulongoski</origin>\n <origin>MaryLynn Musgrove</origin>\n <origin>James A. Kingsbury</origin>\n <origin>Kenneth Belitz</origin>\n <pubdate>20160620</pubdate>\n <title>Groundwater quality data from the National Water-Quality Assessment Project, May 2012 through December 2013</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Data Series</sername>\n <issue>997</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Arnold, T.L., DeSimone, L.A., Bexfield, L.M., Lindsey, B.D., Barlow, J.R., Kulongoski, J.T., Musgrove, MaryLynn, Kingsbury, J.A., and Belitz, Kenneth, 2016, Groundwater quality data from the National Water-Quality Assessment Project, May 2012 through December 2013 (ver. 1.1, November 2016): U.S. Geological Survey Data Series 997, 56 p., http://dx.doi.org/10.3133/ds997.</othercit>\n <onlink>http://dx.doi.org/10.3133/ds997</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2017</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Water-Quality Data</srccitea>\n <srccontr>Water-Quality Datam, May 2012-December 2013, Process Step 1.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Terri L. Arnold</origin>\n <origin>Laura M. Bexfield</origin>\n <origin>MaryLynn Musgrove</origin>\n <origin>Bruce D. Lindsey</origin>\n <origin>Paul E. Stackelberg</origin>\n <origin>Jeannie R. Barlow</origin>\n <origin>Leslie Desimone</origin>\n <origin>Justin T. Kulongoski</origin>\n <origin>James A. Kingsbury</origin>\n <origin>Joseph D. Ayotte</origin>\n <origin>Brandon J. Fleming</origin>\n <origin>Kenneth Belitz</origin>\n <pubdate>20171005</pubdate>\n <title>Groundwater-quality data from the National Water-Quality Assessment Project, January through December 2014 and select quality-control data from May 2012 through December 2014</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Data Series</sername>\n <issue>1063</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Arnold, T.L., Bexfield, L.M., Musgrove, MaryLynn, Lindsey, B.D., Stackelberg, P.E., Barlow, J.R., DeSimone, L.A., Kulongoski, J.T., Kingsbury, J.A., Ayotte, J.D., Fleming, B.J., and Belitz, Kenneth, 2017, Groundwater-quality data from the National Water-Quality Assessment Project, January through December 2014 and select quality-control data from May 2012 through December 2014: U.S. Geological Survey Data Series 1063, 83 p., https://doi.org/10.3133/ds1063.</othercit>\n <onlink>http://dx.doi.org/10.3133/ds1063</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2017</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Water-Quality Data 2</srccitea>\n <srccontr>Water-Quality Datam, May 2012-December 2014, Process Step 1.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Liang-Feng Han</origin>\n <origin>Niel Plummer</origin>\n <pubdate>2013</pubdate>\n <title>Revision of Fontes & Garnier\'s model for the initial 14C content of dissolved inorganic carbon used in groundwater dating</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Chemical Geology</sername>\n <issue>351</issue>\n </serinfo>\n <othercit>Suggested citation: Han, L.F., and Plummer, L. N., 2013, Revision of Fontes & Garnier\'s model for the initial 14C content of dissolved inorganic carbon used in groundwater dating, Chemical Geology, v. 351, p. 105\xe2\x80\x93114, doi: 10.1016/j.chemgeo.2013.05.011.</othercit>\n <onlink>https://doi.org/10.1016/j.chemgeo.2013.05.011</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2013</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Fontes & Garnier\'s Model</srccitea>\n <srccontr>Revision of Fontes & Garnier\'s model, Process Step 5.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>David L. Parkhurst</origin>\n <origin>C.A.J. Appelo</origin>\n <pubdate>1999</pubdate>\n <title>User\'s guide to PHREEQC (Version 2) : a computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Water-Resources Investigations Report</sername>\n <issue>99-4259</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Parkhurst, D.L., and Appelo, C.A.J., 1999, User\'s guide to PHREEQC (Version 2) : a computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations: U.S. Geological Survey Water-Resources Investigations Report 99-4259, 312 p., available only at https://pubs.er.usgs.gov/publication/wri994259/.</othercit>\n <onlink>https://pubs.er.usgs.gov/publication/wri994259</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20130123</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>PHREEQC Computer Program</srccitea>\n <srccontr>PHREEQC version 3 is a computer program written in the C and C++ programming languages that is designed to perform a wide variety of aqueous geochemical calculations. See Process Steps 1,3,4.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>David L. Parkhurst</origin>\n <origin>Scott R. Charlton</origin>\n <pubdate>200803</pubdate>\n <title>NetpathXL\xe2\x80\x94An Excel\xc2\xae Interface to the Program NETPATH</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Techniques and Methods</sername>\n <issue>6\xe2\x80\x93A26</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Parkhurst, D.L., and Charlton, S.R., 2008, NetpathXL\xe2\x80\x94An Excel\xc2\xae interface to the program NETPATH: U.S. Geological Survey Techniques and Methods 6\xe2\x80\x93A26, 11 p., https://pubs.usgs.gov/tm/06A26/.</othercit>\n <onlink>https://pubs.usgs.gov/tm/06A26/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>200803</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>NetpathXL</srccitea>\n <srccontr>NetpathXL is a revised version of NETPATH that runs under Windows\xc2\xae operating systems. NETPATH is a computer program that uses inverse geochemical modeling techniques to calculate net geochemical reactions that can account for changes in water composition between initial and final evolutionary waters in hydrologic systems. See Process Step 4.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>John E. Solder</origin>\n <origin>Bryant J. Jurgens</origin>\n <pubdate>2018</pubdate>\n <title>Evaluation of soil zone processes and a novel radiocarbon correction scheme for groundwater with mixed sources</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Chemical Geology</sername>\n <issue>In Review</issue>\n </serinfo>\n <othercit>Solder, J.E., and Jurgens, B.J., in review, Evaluation of soil zone processes and a novel radiocarbon correction scheme for groundwater with mixed sources, Chemical Geology, submitted 6/15/18.</othercit>\n <onlink>In Review</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2018</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>In Review</srccurr>\n </srctime>\n <srccitea>Soil Zone Processes</srccitea>\n <srccontr>Evaluation of soil zone processes. See Process Step 2.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Groundwater geochemistry reported by Arnold et al. (2016, 2017) is input to PHREEQC (Parkhurst and Appleo, 1992) to run chemical speciation calculations to determine mineral saturation indexes.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n <procstep>\n <procdesc>Determine appropriate mineral phases to include in inverse modeling. Rational of appropriate mineral phases is described in the text of the associated journal article (Solder and Jurgens, in review).</procdesc>\n <procdate>2015</procdate>\n </procstep>\n <procstep>\n <procdesc>PHREEQC inputs (.pqi) define the model, sample chemistry and the initial water chemistry. Results of inverse model (i.e., mole transfers of specified phases) are output in .pqo files.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n <procstep>\n <procdesc>PHREEQC output (.pqo) is input to PHREEQ14 workbooks (excel based calculations of NetpathXL described by Parkhurst and Charlton, 2008) for isotopic calculations and determination of final adjusted 14C for age determination.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n <procstep>\n <procdesc>For sites that an inverse model was not defined, the Revised Fontes and Garnier (RFG) analytical correction model (Han and Plummer, 2013) was used to determine final adjusted 14C for age determination . Model input is described by \'X_RFGModel_In.csv\'.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>PHREEQC14_NetworkGroup_Select.xlsm ("NetworkGroup_PHRQ")</enttypl>\n <enttypd>Files provide select PHREEQC model outputs for denoted "network group". The following attributes apply to the Excel Worksheet "NetworkGroup_PHRQ" tab (where "NetworkGroup" is model dependent). Column Labels are stacked in 2 levels. The first level is "Well Name" through "si_CO2(g)" and the second level begins with "ModelName". \n\nSee Parkhurst, D.L., and Appelo, C.A.J., 2013, for descriptions of input and examples.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>ModelName</attrlabl>\n <attrdef>Identifier for PHREEQC geochemical model.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>User defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Well Name</attrlabl>\n <attrdef>Sample Network and USGS station ID separated by \'_\'.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>A unique well identifier that indicates the NAWQA sample network and USGS station id.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>sim</attrlabl>\n <attrdef>Prints simulation number, or for advective-dispersive transport calculations, the sequence number of the advective-dispersive transport simulation.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Simulation number</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>state</attrlabl>\n <attrdef>Prints type of calculation to the selected-output file for each calculation.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>i_soln</edomv>\n <edomvd>initial solution</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>soln</attrlabl>\n <attrdef>A numeric identifier for sample input.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>User defined ranges.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>dist_x</attrlabl>\n <attrdef>Longitudinal distance along flow path for sequential reactive modeling.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Longitudinal distance</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>time</attrlabl>\n <attrdef>Time step value for sequential reactive modeling.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>-99</edomv>\n <edomvd>Not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Null</edomv>\n <edomvd>No value provided</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>step</attrlabl>\n <attrdef>Sequence step identifier for sequential reactive modeling.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>-99</edomv>\n <edomvd>Not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Null</edomv>\n <edomvd>No value provided</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pH</attrlabl>\n <attrdef>pH value, negative log of the activity of hydrogen ion.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>14.0</rdommax>\n <attrunit>pH units</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pe</attrlabl>\n <attrdef>pe value, conventional negative log of the activity of the electron.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>4</edomv>\n <edomvd>default pe value in PHREEQC</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>temp</attrlabl>\n <attrdef>Temperature, in degrees C</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Alk</attrlabl>\n <attrdef>Alkalinity of solution, equivalents per kilogram water.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>10000.0</rdommax>\n <attrunit>eq/kqw</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>charge</attrlabl>\n <attrdef>Ionic charge balance of solution.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-1000.0</rdommin>\n <rdommax>1000.0</rdommax>\n <attrunit>equivalent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pct_err</attrlabl>\n <attrdef>Percent error in charge balance.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-100.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C</attrlabl>\n <attrdef>Molality of carbon.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>mol/kg</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>m_CO3-2</attrlabl>\n <attrdef>Molality of CO3-2.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>mol/kg</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>m_HCO3-</attrlabl>\n <attrdef>Molality of HCO3-.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>mol/kg</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>m_CO2</attrlabl>\n <attrdef>Molality of CO2.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>mol/kg</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>si_Calcite</attrlabl>\n <attrdef>Saturation index of Calcite, log 10 of the ion activity product divided by equilibrium constant.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-100.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>log 10 of the ion activity product divided by equilibrium constant</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>si_CO2(g)</attrlabl>\n <attrdef>Saturation index of a CO2 gas, log 10 of the ion activity product divided by equilibrium constant.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-100.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>log 10 of the ion activity product divided by equilibrium constant</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sum_resid</attrlabl>\n <attrdef>Sum of the residuals of each modeled phase</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>sum</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sum_Delta</attrlabl>\n <attrdef>Sum of each residual divided by its uncertainty limit.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>delta</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MaxFracErr</attrlabl>\n <attrdef>Maximum fractional error.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>fractional error</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soln_#</attrlabl>\n <attrdef>Mixing fraction for the sample input (#).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.0</rdommin>\n <rdommax>1.0</rdommax>\n <attrunit>fraction</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soln_#_min</attrlabl>\n <attrdef>Minimum mixing fraction for the sample input (#).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>1.0</rdommax>\n <attrunit>fraction</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soln_#_max</attrlabl>\n <attrdef>Maximum mixing fraction for the sample input (#).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>1.0</rdommax>\n <attrunit>fraction</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>"Phase"</attrlabl>\n <attrdef>Mole transfer of denoted phase; positive value indicates dissolution, negative value indicates exsolution. Values range from -100 to 100 moles for a given phase.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Calcite</edomv>\n <edomvd>Calcite</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Dolomite</edomv>\n <edomvd>Dolomite</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>CaX2</edomv>\n <edomvd>Calcium exchange on cation exchange site.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>MgX2</edomv>\n <edomvd>Magnesium exchange on cation exchange site.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>CH2O</edomv>\n <edomvd>Lignite</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>CO2(g)</edomv>\n <edomvd>Carbon dioxide gas</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Illite</edomv>\n <edomvd>Illite</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Kaolinite</edomv>\n <edomvd>Kaolinite</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>SiO2(a)</edomv>\n <edomvd>Amorphous sillicate</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Plagioclase</edomv>\n <edomvd>Plagioclase</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>K-feldspar</edomv>\n <edomvd>Potassium Feldspar</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Biotite</edomv>\n <edomvd>Biotite</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>KX</edomv>\n <edomvd>Potassium exchange on cation exchange site</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NaX</edomv>\n <edomvd>Sodium exchange on cation exchange site</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Gibbsite</edomv>\n <edomvd>Gibbsite</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Gypsum</edomv>\n <edomvd>Gypsum</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>H2O(g)</edomv>\n <edomvd>Water vapor</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Halite</edomv>\n <edomvd>Halite</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Fertilizer</edomv>\n <edomvd>Phase with composition of NH4NO3 simulating applied fertilizer</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NH3(g)</edomv>\n <edomvd>Ammonia</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>"Phase"_min</attrlabl>\n <attrdef>Minimum mole transfer of denoted phase; positive value indicates dissolution, negative value indicates exsolution. See "Phase" for definitions of each phase.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Minimum mole transfer values are 0.0 unless the "-range" calculation is performed.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>"Phase"_max</attrlabl>\n <attrdef>Maximum mole transfer of denoted phase; positive value indicates dissolution, negative value indicates exsolution. See "Phase" for definitions of each phase.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Maximum mole transfer values are 0.0 unless the "-range" calculation is performed.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>PHREEQC14_NetworkGroup_Select.xlsm (#Y.MOD)</enttypl>\n <enttypd>Files provide select PHREEQC model outputs for denoted "network group". The following attributes apply to the Excel Worksheet "#Y.MOD" tabs (where "#Y" is model dependent).\n\nSee Parkhurst, D.L., and Appelo, C.A.J., 2013, for descriptions of input and examples.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>FileName</attrlabl>\n <attrdef>Identifier for PHREEQC geochemical model.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>User defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ModelNumber</attrlabl>\n <attrdef>Sequential identifier for PHREEQC geochemical model.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>User defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>"Phase"</attrlabl>\n <attrdef>Name of mineral phase.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>See "Phase" in the "NetworkGroup_PHRQ" tab attributes for details.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MolesOfC</attrlabl>\n <attrdef>Stoichiometric coefficient on carbon for associated phase.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>moles</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>D13C_Phase</attrlabl>\n <attrdef>Delta 13-C value for associated phase</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-100</rdommin>\n <rdommax>30</rdommax>\n <attrunit>permil</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C14_Phase</attrlabl>\n <attrdef>Carbon-14 activity for respective phase.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>200</rdommax>\n <attrunit>percent modern carbon, pmc</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FactorCase</attrlabl>\n <attrdef>Fractionation factor.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3</rdommin>\n <rdommax>4</rdommax>\n <attrunit>Fractionation factor for CO2(g) to HCO3</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>PHREEQC14_NetworkGroup_Select.xlsm (#Y.PAT)</enttypl>\n <enttypd>Files provide select PHREEQC model outputs for denoted "network group". The following attributes apply to the Excel Worksheet "#Y.PAT" tabs (where "#Y" is model dependent).\n\nSee Parkhurst, D.L., and Appelo, C.A.J., 2013, for descriptions of input and examples.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>FileName</attrlabl>\n <attrdef>Identifier for PHREEQC geochemical model.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>User defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ModelNumber</attrlabl>\n <attrdef>Sequential identifier for PHREEQC geochemical model.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>User defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Well Name</attrlabl>\n <attrdef>Sample Network and USGS station ID separated by \'_\' or Rain.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>A unique well identifier that indicates the NAWQA sample network and USGS station id.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>"Solution spread heading" (column headings "C" through "BLANK", "SR87", "TRITIUM" through "34H2S")</attrlabl>\n <attrdef>Solution spread heading adjusted within uncertainty limits for given solution and model run.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-100</rdommin>\n <rdommax>100</rdommax>\n <attrunit>equivalents</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C13</attrlabl>\n <attrdef>Delta 13-C value for dissolved inorganic carbon adjusted within uncertainty limits for given solution and model run.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-100</rdommin>\n <rdommax>100</rdommax>\n <attrunit>permil</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C14</attrlabl>\n <attrdef>Carbon-14 activity adjusted within uncertainty limits for given solution and model run.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>200</rdommax>\n <attrunit>percent modern carbon, pmc</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>O-18</attrlabl>\n <attrdef>Isotopic ratio value for delta 18-Oxygen adjusted within uncertainty limits for given solution and model run.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-50</rdommin>\n <rdommax>0</rdommax>\n <attrunit>permil</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Well number</attrlabl>\n <attrdef>Sequential record number.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Model dependent.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>ModelName.pqi (PFS.pqi, PASold.pqi, PASyng.pqi)</enttypl>\n <enttypd>Complete PHREEQC model input file, where "ModelName" is user defined.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Number</attrlabl>\n <attrdef>Sequential identifier.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Model defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Description</attrlabl>\n <attrdef>Sample Network and USGS station ID separated by \'_\'.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>A unique well identifier that indicates the NAWQA sample network and USGS station id.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Units</attrlabl>\n <attrdef>Reporting units for "phase" values.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Reported in milligrams per liter (mg/l)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Redox</attrlabl>\n <attrdef>Reduction/oxidation (redox) processes affect the quality of groundwater in all aquifer systems.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>See https://pubs.usgs.gov/fs/2009/3041/ for more information about Redox.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Temp</attrlabl>\n <attrdef>Temperature, in degrees C</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pH</attrlabl>\n <attrdef>pH value, negative log of the activity of hydrogen ion.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>14.0</rdommax>\n <attrunit>pH units</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pe</attrlabl>\n <attrdef>pe value, conventional negative log of the activity of the electron.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>4</edomv>\n <edomvd>default pe value in PHREEQC</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>"Phase" (columns "Ca" through "N(0) as N")</attrlabl>\n <attrdef>Mole transfer of denoted phase; positive value indicates dissolution, negative value indicates exsolution. Values range from -100 to 100 moles for a given phase.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>See "Phase" in the "NetworkGroup_PHRQ" tab attributes for details.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Data_Table_SELECT_Tabls.xlsx (ModelName.pqo)</enttypl>\n <enttypd>Excel Worksheet</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Number</attrlabl>\n <attrdef>Sequential identifier.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Model defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Description</attrlabl>\n <attrdef>Sample Network and USGS station ID separated by \'_\'.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>A unique well identifier that indicates the NAQWA sample network and USGS station id.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Units</attrlabl>\n <attrdef>Reporting units for "phase" values.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Reported in milligrams per liter (mg/l)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Redox</attrlabl>\n <attrdef>Reduction/oxidation (redox) processes affect the quality of groundwater in all aquifer systems.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>See https://pubs.usgs.gov/fs/2009/3041/ for more information about Redox.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Temp</attrlabl>\n <attrdef>Temperature, in degrees C</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pH</attrlabl>\n <attrdef>pH value, negative log of the activity of hydrogen ion.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>14.0</rdommax>\n <attrunit>pH units</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pe</attrlabl>\n <attrdef>pe value, conventional negative log of the activity of the electron.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>4</edomv>\n <edomvd>default pe value in PHREEQC</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Phase (columns "Ca" through "N(0) as N")</attrlabl>\n <attrdef>Mole transfer of denoted phase; positive value indicates dissolution, negative value indicates exsolution. Values range from -100 to 100 moles for a given phase.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>See "Phase" in the "NetworkGroup_PHRQ" tab attributes for details.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Glacial_Sel_ModOut.xlsx</enttypl>\n <enttypd>Excel Worksheet</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Initial Model Values</attrlabl>\n <attrdef>Initial Model Values</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>See ModOut_Column_Definitions.xlsx for more information.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lumped Parameter Modeling Results</attrlabl>\n <attrdef>Lumped Parameter Modeling Results</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>See ModOut_Column_Definitions.xlsx for more information.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lumped Parameter Tracer Output</attrlabl>\n <attrdef>Lumped Parameter Tracer Output</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>See ModOut_Column_Definitions.xlsx for more information.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Measured Tracer Data</attrlabl>\n <attrdef>Measured Tracer Data</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>See ModOut_Column_Definitions.xlsx for more information.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Monte Carlo Results</attrlabl>\n <attrdef>Monte Carlo Results</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>See ModOut_Column_Definitions.xlsx for more information.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Monte Carlo Tracer Results</attrlabl>\n <attrdef>Monte Carlo Tracer Results</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>See ModOut_Column_Definitions.xlsx for more information.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>MSS_RFGmodel_In.csv; PAS_RFGmodel_In.csv</enttypl>\n <enttypd>Comma-separated values files</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>NAWQA_ID or Number</attrlabl>\n <attrdef>Unique identifier</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>User defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SID or Well name</attrlabl>\n <attrdef>Station identifier or unique NAWQA well name</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>User defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>13C_permil</attrlabl>\n <attrdef>delta carbon-13 isotopic ratio, in permil</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Model input</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>14C_pmc</attrlabl>\n <attrdef>Measured carbon-14 activity of dissolved inorganic carbon, in percent modern Carbon</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Model input</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>H2CO3</attrlabl>\n <attrdef>Dissolved concentration of carbonic acid, in mol/kg</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Model input</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HCO3</attrlabl>\n <attrdef>Dissolved concentration of bicarbonate, in mol/kg</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Model input</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CO3</attrlabl>\n <attrdef>Dissolved concentration of carbonate, in mol/kg</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Model input</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TempC</attrlabl>\n <attrdef>Temperature, in degrees Celsius</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>14C_soild_30pmc</attrlabl>\n <attrdef>Carbon-14 activity adjusted within uncertainty limits for30 percent modern carbon (pmc).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>model input</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>14C_solid_0pmc</attrlabl>\n <attrdef>Carbon-14 activity adjusted within uncertainty limits for 0 percent modern carbon (pmc).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>model input</udom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>Data type and description for PHREEQC input and output files are described in the associated publication.</eaover>\n <eadetcit>Parkhurst, D.L., and Appelo, C.A.J., 2013, Description of input and examples for PHREEQC version 3\xe2\x80\x94A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations: U.S. Geological Survey Techniques and Methods, book 6, chap. A43, 497 p., available only at https://pubs.usgs.gov/tm/06/a43/.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7JW8C3G</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>none</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>John E Solder</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>2329 2329 West Orton Circle</address>\n <city>West Valley City</city>\n <state>UT</state>\n <postal>84119</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>801-908-5000</cntvoice>\n <cntfax>801-908-5001</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC CSDGM</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <metuc>Record created using USGS Metadata Wizard tool. (https://github.com/usgs/fort-pymdwizard)</metuc>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [National Fish Habitat Partnership](/catalog/item/5776aa5ae4b07dd077c87662)
3. [National Fish Habitat Partnership Data System](/catalog/item/4f4e4773e4b07f02db47e241)
4. [2015 NFHAP National Assessment of Fish Habitats](/catalog/item/5e31c938e4b0a79317d7a2c1)
5. [National Fish Habitat Partnership (NFHP) 2015 Cumulative Habitat Condition Scores and Disturbance Indices Linked to Catchments of Southeast Alaska](/catalog/folder/5876a433e4b0aa226e1b7805)
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## Dates
Publication Date2017-03-17Start Date2010End Date2015Assessment Date2015
## Citation
Cooper, A., Daniel, W.M., Infante, D.M., Ross, J. and Herreman, K., 2017, National Fish Habitat Partnership (NFHP) 2015 Cumulative Habitat Condition Scores and Disturbance Indices Linked to Catchments of Southeast Alaska: U.S. Geological Survey data release, https://doi.org/10.5066/F7TT4P4X.
## Summary
This shapefile contains cumulative fish habitat condition index (HCI) scores as well as specific disturbance indices for local and network catchments of Southeast Alaska. Catchments were created in support of Jared Ross's Master’s thesis. The source datasets compiled and attributed to spatial units were identified as being: (1) meaningful for assessing fluvial fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) broadly representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. Citations: Ross, J.A. Influences of timber management and natural landscape factors on anadromous streams \[...\]
## Summary
This shapefile contains cumulative fish habitat condition index (HCI) scores as well as specific disturbance indices for local and network catchments of Southeast Alaska. Catchments were created in support of Jared Ross's Master’s thesis. The source datasets compiled and attributed to spatial units were identified as being: (1) meaningful for assessing fluvial fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) broadly representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. Citations: Ross, J.A. Influences of timber management and natural landscape factors on anadromous streams of southeastern Alaska: Relating local and catchment factors to aquatic habitat. 2013. Master’s thesis. Michigan State University, East Lansing, MI.
## Contacts
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[Dana M Infante](/catalog/catalogParty/show?partyId=64846)
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[Arthur R. Cooper](/catalog/catalogParty/show?partyId=66941),
[Wesley M Daniel](/catalog/catalogParty/show?partyId=73886),
[Dana M Infante](/catalog/catalogParty/show?partyId=64846),
[Jared Ross](/catalog/catalogParty/show?partyId=Jared+Ross),
[Kyle Herreman](/catalog/catalogParty/show?partyId=66940)
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| NFHP 2015 Cumulative Habitat Condition Scores and Disturbance Indices Linked to Catchments of Southeast Alaska 20170119.xml<br>“FGDC Metadata”<br>_Original FGDC Metadata_ | View | 20.7 KB | application/fgdc+xml |
| SEAK2015hci.JPG<br>“Thumbnail” |  | 84.31 KB | image/jpeg |
| SEAK2015hci.zip<br>“Shapefile” | | 38.35 MB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| THROUGH A FISH'S EYE: THE STATUS OF FISH HABITATS IN THE UNITED STATES 2015 | [http://assessment.fishhabitat.org/](http://assessment.fishhabitat.org/ "http://assessment.fishhabitat.org/") |
## Purpose
These data were collected for multiple purposes. First, they were gathered in support of conducting a condition assessment of fish habitat in fluvial waterbodies throughout the United States in support of the National Fish Habitat Partnership (NFHP). Second, these data were intended to be made available to NFHP as well as other users interested in acquiring consistently-organized information over larger regions. This work was supported by local, state, and federal partners of NFHP, including the U.S. Fish and Wildlife Service and the U.S. Geological Survey. Because the condition assessment was conducted over such a large geographic region, we adopted a landscape approach for assessment which assumed that anthropogenic disturbances as well as natural characteristics in the watersheds affect a given unit of habitat which in turn would affect fishes.
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Thumbnail
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## Provenance
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## Additional Information
### Identifiers
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| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7TT4P4X |
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| maxY | 61.0303548716207 |
| maxX | -128.340070672639 | |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Arthur Cooper</origin>\n <origin>Wesley Daniel</origin>\n <origin>Dana M. Infante</origin>\n <origin>Jared Ross</origin>\n <origin>Kyle Herreman</origin>\n <pubdate>2017</pubdate>\n <title>National Fish Habitat Partnership (NFHP) 2015 Cumulative Habitat Condition Scores and Disturbance Indices Linked to Catchments of Southeast Alaska</title>\n <geoform>Vector Digital Data Set (Polygon)</geoform>\n <onlink>https://doi.org/10.5066/F7H1306F</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Steve Crawford</origin>\n <origin>Gary Whelan</origin>\n <origin>Dana M. Infante</origin>\n <origin>Kristan Blackhart</origin>\n <origin>Wesley M. Daniel</origin>\n <origin>Pam L. Fuller</origin>\n <origin>Tim Birdsong</origin>\n <origin>Daniel J. Wieferich</origin>\n <origin>Ricardo McClees-Funinan</origin>\n <origin>Susan M. Stedman</origin>\n <origin>Kyle Herreman</origin>\n <origin>Peter Ruhl</origin>\n <pubdate>20160823</pubdate>\n <title>Through A Fish's Eye: A Status of Fish Habitats in the United States 2015</title>\n <geoform>Website</geoform>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>USGS</publish>\n </pubinfo>\n <onlink>http://assessment.fishhabitat.org/</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This shapefile contains cumulative fish habitat condition index (HCI) scores as well as specific disturbance indices for local and network catchments of Southeast Alaska. Catchments creation was leveraged through a project occurring at Michigan State University (Ross 2013). The source datasets compiled and attributed to spatial units were identified as being: (1) meaningful for assessing fluvial fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) broadly representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. \n\nCitations: Ross, J.A. Influences of timber management and natural landscape factors on anadromous streams of southeastern Alaska: Relating local and catchment factors to aquatic habitat. 2013. Master\xe2\x80\x99s thesis. Michigan State University, East Lansing, MI.</abstract>\n <purpose>These data were collected for multiple purposes. First, they were gathered in support of conducting a condition assessment of fish habitat in fluvial waterbodies throughout the United States in support of the National Fish Habitat Partnership (NFHP). Second, these data were intended to be made available to NFHP as well as other users interested in acquiring consistently-organized information over larger regions. This work was supported by local, state, and federal partners of NFHP, including the U.S. Fish and Wildlife Service and the U.S. Geological Survey. Because the condition assessment was conducted over such a large geographic region, we adopted a landscape approach for assessment which assumed that anthropogenic disturbances as well as natural characteristics in the watersheds affect a given unit of habitat which in turn would affect fishes.</purpose>\n <supplinf>Using GIS processing methodology to manipulate a subset of the nationally available datasets was necessary in order to facilitate variable creation and attribution of disturbance values that were not included in the Watershed Boundary Dataset (WBD). Also excluded are processing steps for datasets acquired by NFHP, but not used in the current assessment. More information is available at http://assessment.fishhabitat.org/ Additional contact information: Dana Infante, 517-432-7232, [email protected]; Kyle Herreman, [email protected]; Arthur Cooper, [email protected].</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2010</begdate>\n <enddate>2015</enddate>\n </rngdates>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-144.866655581</westbc>\n <eastbc>-129.359818989</eastbc>\n <northbc>61.034027176</northbc>\n <southbc>54.293416957</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>environmental assessment</themekey>\n </theme>\n <theme>\n <themekt>Marine Realms Information Bank (MRIB) keywords</themekt>\n <themekey>watershed</themekey>\n </theme>\n <theme>\n <themekt>Alexandria Digital Library Feature Type Thesaurus</themekt>\n <themekey>drainage basins</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Environmental condition</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5876a433e4b0aa226e1b7805</themekey>\n </theme>\n </keywords>\n <accconst>None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</accconst>\n <useconst>The NFHP Data System has been established to house authoritative versions of the data generated under the auspices of the National Fish Habitat Partnership. It is strongly recommended that these data are directly acquired from the NFHP Data System or Through a Fish's Eye Report: The Status of Fish Habitats in the United States 2015 at http://assessment.fishhabitat.org/, and not indirectly through other sources, which may have changed the data in some way. \nAlthough the data disseminated via the NFHP Data System have undergone data formatting quality review prior to posting, errors or inaccuracies may still exist in the data. Neither the U.S. Government, the Department of the Interior, the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. No warranty, expressed or implied, is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual and aggregate uses of the data. The USGS shall not be held liable for improper or incorrect use of the data retrieved from the National Fish Habitat Partnership Data System.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>Aquatic Landscape Ecology Lab (ALELAB); Department of Fisheries and Wildlife; Michigan State University</cntorg>\n <cntper>Dana Infante</cntper>\n </cntorgp>\n <cntpos>Associate Professor</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>1405 S Harrison Rd</address>\n <address>Ste. 318</address>\n <city>East Lansing</city>\n <state>MI</state>\n <postal>48823</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>517.432.7232</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Funding for the development of these data was provided by the U.S. Fish and Wildlife Service and the U.S. Geological Survey. The following individuals were involved in data collection and analysis: Kyle Herreman, Dana M. Infante, Wesley M. Daniel, Arthur Cooper, Ralph Tingley, and Jared Ross.</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.4 (Build 5524) Service Pack N/A (Build N/A)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Detailed scoring methods for Southeast Alaska catchments can be found on the National Fish Habitat Partnership (NFHP) 2015 report website. Please visit the report website at the following website. http://assessment.fishhabitat.org/</procdesc>\n <procdate>Unknown</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Vector</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>G-polygon</sdtstype>\n <ptvctcnt>219802</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <gridsys>\n <gridsysn>State Plane Coordinate System 1983</gridsysn>\n <spcs>\n <spcszone>5001</spcszone>\n <obqmerc>\n <sfctrlin>0.9999</sfctrlin>\n <obqlazim>\n <azimangl>323.13011</azimangl>\n <azimptl>-133.66666667</azimptl>\n </obqlazim>\n <latprjo>57.000</latprjo>\n <feast>5000000.00000000</feast>\n <fnorth>-5000000.00000000</fnorth>\n </obqmerc>\n </spcs>\n </gridsys>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.6096</absres>\n <ordres>0.6096</ordres>\n </coordrep>\n <plandu>Meter</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D_North_American_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>SEAK2015hci</enttypl>\n <enttypd>This dataset contains information about fish habitat conditions and landscape disturbance indicies in SE Alaska.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>GRIDCODE</attrlabl>\n <attrdef>Common identifier for development within the grid environment of stream reaches of the National Hydrography Dataset (NHD)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>166420649</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>area</attrlabl>\n <attrdef>area of catchments</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.002407</rdommin>\n <rdommax>1834.215289</rdommax>\n <attrunit>sqkm</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>COMID</attrlabl>\n <attrdef>Common identifier for stream reaches of the National Hydrography Dataset (NHD)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>166420649</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LC_URBAN</attrlabl>\n <attrdef>Local catchment urban index</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LC_AG</attrlabl>\n <attrdef>Local catchment agriculture and harvested forest land index</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LC_BARRIER</attrlabl>\n <attrdef>Local catchment barrier index</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LC_POINT</attrlabl>\n <attrdef>Local catchment point source pollution index</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LC_INFRA</attrlabl>\n <attrdef>Local catchment infrastructure index. Includes roads, pipelines, airports, and railroads.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LC_MINE</attrlabl>\n <attrdef>Local catchment mine index</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NC_URBAN</attrlabl>\n <attrdef>Network catchment urban index</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NC_AG</attrlabl>\n <attrdef>Network catchment agriculture and harvested forest land index</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NC_BARRIER</attrlabl>\n <attrdef>Network catchment barrier index</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NC_POINT</attrlabl>\n <attrdef>Network catchment point source pollution index</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NC_INFRA</attrlabl>\n <attrdef>Network catchment infrastructure index. Includes roads, pipelines, airports, and railroads</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NC_MINE</attrlabl>\n <attrdef>Network catchment mine index</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LC_NFHP</attrlabl>\n <attrdef>Local catchment cumulative NFHP score</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1.95792</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NC_NFHP</attrlabl>\n <attrdef>Network catchment cumulative NFHP score</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1.92099</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NFHP_SCORE</attrlabl>\n <attrdef>Cumulative NFHP score, where -99 is null, 0 is no recorded risk of disturbance and 1.79229 is highest level of recorded risk of disturbance</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-99</rdommin>\n <rdommax>1.79229</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NFHP_CLASS</attrlabl>\n <attrdef>Cumulative NFHP score text</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>High</edomv>\n <edomvd>Unknown</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Low</edomv>\n <edomvd>Unknown</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Moderate</edomv>\n <edomvd>Unknown</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Not Scored</edomv>\n <edomvd>Unknown</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Very High</edomv>\n <edomvd>Unknown</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Very Low</edomv>\n <edomvd>Unknown</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the data set. This dataset contains information about fish habitat conditions and landscape disturbance indicies in SE Alaska. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Distributor assumes no liability for misuse of data.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Vector Digital Data Set (Polygon)</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7TT4P4X</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Kyle Herreman</cntper>\n <cntorg>Michigan State University</cntorg>\n </cntperp>\n <cntpos>GIS Analyst/Database Administrator</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>1405 S Harrison Rd</address>\n <address>Ste. 318</address>\n <city>East Lansing</city>\n <state>MI</state>\n <postal>48823</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>517.432.3102</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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## Dates
Publication Date2020-09-25Start Date2017-11-13End Date2018-01-02
## Citation
Snazelle, T.T., 2020, Data collected from five in situ turbidity sensors for comparison of accuracy and performance.: U.S. Geological Survey data release, https://doi.org/10.5066/P9KDERG6.
## Summary
Five commercially available turbidity sensors were field tested by the U.S. Geological Survey (USGS) Hydrologic Instrumentation Facility for accuracy and data comparability. The tested sensors were the Xylem EXO (EXO), the Hach Solitax sc (Solitax), the In-Situ Aqua TROLL sensor installed onto a TROLL 600 sonde (TROLL 600), the Campbell Scientific OBS501 (OBS501), and the Observator ANALITE NEP–5000 (NEP–5000). The sensors were deployed at Pearl River at National Space Technology Laboratories Station, Mississippi (USGS site 02492620), and were serviced weekly. In addition to the five in situ turbidity sensors, corresponding discrete samples were collected and analyzed during the evaluation on a calibrated Hach 2100N benchtop turbidimeter. \[...\]
## Summary
Five commercially available turbidity sensors were field tested by the U.S. Geological Survey (USGS) Hydrologic Instrumentation Facility for accuracy and data comparability. The tested sensors were the Xylem EXO (EXO), the Hach Solitax sc (Solitax), the In-Situ Aqua TROLL sensor installed onto a TROLL 600 sonde (TROLL 600), the Campbell Scientific OBS501 (OBS501), and the Observator ANALITE NEP–5000 (NEP–5000). The sensors were deployed at Pearl River at National Space Technology Laboratories Station, Mississippi (USGS site 02492620), and were serviced weekly. In addition to the five in situ turbidity sensors, corresponding discrete samples were collected and analyzed during the evaluation on a calibrated Hach 2100N benchtop turbidimeter. The OBS501 malfunctioned early in the evaluation and eventually failed, resulting in meager data from the sensor.
During this study, the four remaining sensors (minus the OBS501) changed similarly throughout the field test; however, sensor data from the EXO consistently demonstrated lower results than the Solitax, TROLL 600, and NEP–5000, possibly because of the variation in raw signal processing among manufacturers. Results from a single factor analysis of variance test and a Tukey Honestly Significant Difference test verified the low bias observed in the EXO data and indicated there was a significant difference between the EXO data and data from the Solitax, TROLL 600, and NEP–5000 but an insignificant difference among the data when the Solitax, TROLL 600, and NEP–5000 were compared to each other.
## Contacts
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[Teri N Snazelle](/catalog/catalogParty/show?partyId=58036)
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| --- | --- | --- | --- |
| Turbidity data \_USGS site 02492620 \_2017-2018\_metadata.xml<br>_Original FGDC Metadata_ | View | 7.47 KB | application/fgdc+xml |
| TeriSnazelle\_ezDMP\_2020-09-15.pdf | | 2.67 KB | application/pdf |
| 20160621newdeploy.csv | | 1,023.44 KB | text/csv |
| combined field data.xlsx | | 1.84 MB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| CT response time test.csv.xlsx | | 44.86 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| CT response time test.csv | | 6 Bytes | text/csv |
| test sonde log file.csv | | 9.62 KB | text/csv |
| Log\_20151013\_103333 sonde 1 final field log.csv | | 4.29 MB | text/csv |
| Log\_20151013\_103333 sonde one 11-5.csv | | 3.16 MB | text/csv |
| Log\_20151013\_103333 10-28.csv | | 137.37 KB | text/csv |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Snazelle, T.T., 2020, Field comparison of five in situ turbidity sensors: U.S. Geological Survey Open-File Report, https://doi.org/10.3133/ofr20201123. | [https://doi.org/10.3133/ofr20201123](https://doi.org/10.3133/ofr20201123 "https://doi.org/10.3133/ofr20201123") |
## Purpose
Data were collected to compare the accuracy and performance of the in situ turbidity sensors.
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## Provenance
## Additional Information
### Alternate Titles
- Datasheet containing in situ data from five sensors, discrete turbidity data, and statistical test data
### Identifiers
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| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9KDERG6 |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Teri T. Snazelle</origin>\n <pubdate>20200925</pubdate>\n <title>Turbidity data collected by five in situ sensors at USGS site 02492620 Pearl River at NSTL station, MS from November 2017 to January 2018.</title>\n <geoform>spreadsheet</geoform>\n <othercit>Data includes continuous data from EXO, TROLL 600, Solitax, Analite NEP-5000 and Campbell OBS along with corresponding discrete turbidity data analyzed on a calibrated turbiimeter.</othercit>\n <onlink>https://doi.org/10.5066/P9KDERG6</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Teri T. Snazelle</origin>\n <pubdate>2020</pubdate>\n <title>Field comparison of five in situ turbidity sensors</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/ofr20201123</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Contains a collection of in situ data from five commercially available turbidity sensors that were colocated at USGS site 02492620 Pearl River at NSTL station, MS from November 2017 to January 2018</abstract>\n <purpose>Data were collected to compare the accuracy and performance of the in situ turbidity sensors.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20171113</begdate>\n <enddate>20180102</enddate>\n </rngdates>\n </timeinfo>\n <current>observed</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-88.8135</westbc>\n <eastbc>-86.0889</eastbc>\n <northbc>89.0000</northbc>\n <southbc>30.0000</southbc>\n </bounding>\n <descgeog>\n </descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>turbidity</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5f620e0c82ce38aaa235c6dd</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>\n </placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Teri N Snazelle</cntper>\n <cntorg>U.S. Geological Survey, WATER</cntorg>\n </cntperp>\n <cntpos>Chemist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Buildings 2101 2204</address>\n <city>Bay St Louis</city>\n <state>MS</state>\n <postal>39529</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>228-688-1316</cntvoice>\n <cntfax>228-688-1577</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <native>Intel (R) Core (TM) I7-7600U CPU\nMicrosoft Office Excel 2010\n1766 KB</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>In situ data were collected from calibrated sensors. Calibration was verified weekly during data collection. Discrete values were collected on a calibrated HACH 2100N benchtop turbidimeter</attraccr>\n </attracc>\n <logic>data verified with single anova and tukey honestly significantly different statistical tests</logic>\n <complete>data represents conditions specific to USGS site 02492620, and only specifc to the timeline of the data collected</complete>\n <lineage>\n <procstep>\n <procdesc>Five sensors were colocated at USGS 02492620 so that each sensor was protected from stray light, and the sensors were measuring the same water at the same time.</procdesc>\n <procdate>20171116</procdate>\n </procstep>\n <procstep>\n <procdesc>Data were collected using sensor manufacturing software and data collection platforms. Data were downloaded directly from the sensor into the processing spreadsheet.</procdesc>\n <procdate>20180105</procdate>\n </procstep>\n <procstep>\n <procdesc>Data was processed so that any missing sensor data was removed from the spreadsheet along with corresponding sensor data from the other in situ sensors. Data collected from the malfunctioning Campbell Scientific OBS sensor was not used to determine accuracy.</procdesc>\n <procdate>20180530</procdate>\n </procstep>\n <procstep>\n <procdesc>Discrete turbidity data was collected, and the corresponding in situ data were processed for percent difference incorporating total propagated uncertainty.</procdesc>\n <procdate>20180623</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9KDERG6</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200925</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Teri N Snazelle</cntper>\n <cntorg>U.S. Geological Survey, WATER</cntorg>\n </cntperp>\n <cntpos>Chemist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Buildings 2101 2204</address>\n <city>Bay St Louis</city>\n <state>MS</state>\n <postal>39529</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>228-688-1316</cntvoice>\n <cntfax>228-688-1577</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Plant Phenology Site Phenometrics + Accumulated Growing Degree Day Calculations for the continental United States (2009-2016)](/catalog/folder/58f7da76e4b0b7ea5451fb29)
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## Dates
Publication Date2017-09-28Start Date2009-01-01End Date2016-09-25
## Citation
Crimmins, T.M. and Crimmins, M.A., 2017, Plant Phenology Site Phenometrics + Accumulated Growing Degree Day Calculations for the continental United States (2009-2016): U.S. Geological Survey data release, https://doi.org/10.5066/F7XG9Q0X.
## Summary
This datafile consists of a subset of plant phenology observations drawn from the USA National Phenology Network’s National Phenology Database (www.usanpn.org). The data were collected by citizen and professional observers and archived and distributed by the USA National Phenology Network. Protocols are available in Denny et al. (2014). This datafile consists of plant phenology observations that were used in an effort to construct predictive models of phenophase transitions using accumulated growing degree days based on PRISM daily minimum and maximum temperature data. The phenology data were queried from the USA National Phenology Network on 9-25-16.
## Summary
This datafile consists of a subset of plant phenology observations drawn from the USA National Phenology Network’s National Phenology Database (www.usanpn.org). The data were collected by citizen and professional observers and archived and distributed by the USA National Phenology Network. Protocols are available in Denny et al. (2014). This datafile consists of plant phenology observations that were used in an effort to construct predictive models of phenophase transitions using accumulated growing degree days based on PRISM daily minimum and maximum temperature data. The phenology data were queried from the USA National Phenology Network on 9-25-16.
## Contacts
Point of Contact
:
[Theresa Crimmins](/catalog/catalogParty/show?partyId=73925)
Originator
:
[National Phenology Network](/catalog/catalogParty/show?partyId=24065)
Metadata Contact
:
[Theresa Crimmins](/catalog/catalogParty/show?partyId=73925)
Distributor
:
[GS ScienceBase](/catalog/catalogParty/show?partyId=62675)
USGS Mission Area
:
[Ecosystems](/catalog/catalogParty/show?partyId=Ecosystems)
SDC Data Owner
:
[Office of the Associate Director for Ecosystems](/catalog/catalogParty/show?partyId=17005)
## Attached Files - sorting - [Metadata First](/catalog/item/get/58f7da76e4b0b7ea5451fb29?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/58f7da76e4b0b7ea5451fb29?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/58f7da76e4b0b7ea5451fb29?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| Crimmins\_etal\_USA-NPN\_observational\_data\_for\_AGDD\_analysis.xml<br>_Original FGDC Metadata_ | View | 10.37 KB | application/fgdc+xml |
| Crimmins\_etal\_USA-NPN\_observational\_data\_for\_AGDD\_analysis.xlsx | | 1.78 MB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
## Related External Resources
Type: Citation
| | |
| --- | --- |
| Denny, E.G., K.L. Gerst, A.J. Miller-Rushing, G.L. Tierney, T.M. Crimmins, C.A.F. Enquist, P. Guertin, A.H. Rosemartin, M.D. Schwartz, K.A. Thomas, J.F. Weltzin. 2014. Standardized phenology monitoring methods to track plants and animal activity for science and resource management applications. International Journal of Biometeorology 58:591-601. DOI:10.1007/s00484-014-0789-5 | [https://doi.org/10.1007/s00484-014-0789-5](https://doi.org/10.1007/s00484-014-0789-5 "https://doi.org/10.1007/s00484-014-0789-5") |
## Purpose
Datasets were developed by the USA National Phenology Network to better understand the response of plant and animal species to environmental variation and change, and to develop baseline conditions against which future changes may be compared. In this study, we used a subset of the plant phenology observations maintained by the USA-NPN to construct predictive models of phenophase transitions using accumulated growing degree days.
## [Map](/catalog/item/imap/58f7da76e4b0b7ea5451fb29)
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## Tags
Categories
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Theme
- [ecology](/catalog/items?q=&filter=tags%3Decology "ecology (ecology, Theme, USGS Thesaurus)")
- [phenology](/catalog/items?q=&filter=tags%3Dphenology "phenology (phenology, Theme, USGS Thesaurus)")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
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- [Citation](/catalog/items?q=&filter=browseType%3DCitation "Citation")
## Provenance
Data sourceInput directly
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7XG9Q0X |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>USA National Phenology Network</origin>\n <pubdate>2017</pubdate>\n <title>Plant Phenology Site Phenometrics + Accumulated Growing Degree Day Calculations for the continental United States (2009-2016)</title>\n <geoform>Tabular Digital Data</geoform>\n <onlink>https://doi.org/10.5066/F7XG9Q0X</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This datafile consists of a subset of plant phenology observations drawn from the USA National Phenology Network\xe2\x80\x99s National Phenology Database (www.usanpn.org). The data were collected by citizen and professional observers and archived and distributed by the USA National Phenology Network. Protocols are available in Denny et al. (2014). This datafile consists of plant phenology observations that were used in an effort to construct predictive models of phenophase transitions using accumulated growing degree days based on PRISM daily minimum and maximum temperature data. The phenology data were queried from the USA National Phenology Network on 9-25-16.</abstract>\n <purpose>Datasets were developed by the USA National Phenology Network to better understand the response of plant and animal species to environmental variation and change, and to develop baseline conditions against which future changes may be compared. In this study, we used a subset of the plant phenology observations maintained by the USA-NPN to construct predictive models of phenophase transitions using accumulated growing degree days.</purpose>\n <supplinf>Please find datafield metadata (entity and attribute information) for all data fields provided by the USA-NPN at www.usanpn.org/files/metadata/all_datafield_descriptions.xlsx. The field "PRISM-AGDD" was added to the data provided by the USA-NPN: the number of accumulated growing degree day units, based on a 32F base temperature and a Jan 1 start date, on the day of year the first yes for the phenophase transition was reported.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20090101</begdate>\n <enddate>20160925</enddate>\n </rngdates>\n </timeinfo>\n <current>Ground condition; data are made available in real-time.</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-125.000</westbc>\n <eastbc>-67.000</eastbc>\n <northbc>72.000</northbc>\n <southbc>17.000</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>phenology</themekey>\n <themekey>ecology</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:58f7da76e4b0b7ea5451fb29</themekey>\n </theme>\n </keywords>\n <accconst>Public</accconst>\n <useconst>Please contact authors before using these data.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>USA National Phenology Network</cntorg>\n <cntper>Theresa Crimmins</cntper>\n </cntorgp>\n <cntpos>Assistant Director</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>1311 E 4th St</address>\n <city>Tucson</city>\n <state>AZ</state>\n <postal>85721</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>+1-520-621-8523</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Data were provided by the USA National Phenology Network, with funding and leadership from the United States Geological Survey, and contributions from many partners and Nature\xe2\x80\x99s Notebook observers.</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Attribute accuracy tests are described in an information sheet: https://www.usanpn.org/files/shared/files/QA-QC_tech_info_sheet_v2.3.pdf</attraccr>\n </attracc>\n <logic>Logic tests for USA-NPN Observational data are described in an information sheet: https://www.usanpn.org/files/shared/files/QA-QC_tech_info_sheet_v2.4.pdf</logic>\n <complete>Data provided as-is.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>USA National Phenology Network</origin>\n <pubdate>2016</pubdate>\n <title>Site Phenometrics Data</title>\n <geoform>Tabular Digital Data</geoform>\n <pubinfo>\n <pubplace>Internet</pubplace>\n <publish>NOAA National Centers for Environmental Prediction</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.5066/F78S4N1V</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20090101</begdate>\n <enddate>20160925</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>Parameter-Elevation Regressions on Independent Slopes Model (PRISM) Dataset</srccitea>\n <srccontr>Site-level phenology observation data used in the analysis.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>PRISM Climate Group at Oregon State University</origin>\n <pubdate>2016</pubdate>\n <title>Parameter-Elevation Regressions on Independent Slopes Model (PRISM) Dataset</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Internet</pubplace>\n <publish>NOAA National Centers for Environmental Prediction</publish>\n </pubinfo>\n <onlink>http://prism.oregonstate.edu/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20090101</begdate>\n <enddate>20160925</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>PRISM</srccitea>\n <srccontr>Daily growing degree day accumulations were calculated for phenology observation locations starting on Jan 1 using PRISM daily minimum and maximum temperature values.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Processing for the USA-NPN observational data will be described in a forthcoming USGS Open File report. For the observations used in this analysis, we calculated the number of growing degree day units that had accumulated, based on a 32F base temperature and a Jan 1 start date, on the date of the first reported "yes" for the phenophase. To do this, we pulled daily minimum and maximum temperatures for each phenology record location from NOAA Regional Climate Centers Applied Climate Information System (ACIS) at http://data.rcc-acis.org/GridData and followed the standard accumulated growing degree day calculation: AGDD = ((Tmax + Tmin)/2) - 32. Data were queried from the USA National Phenology Network database on 9-25-16.</procdesc>\n <procdate>20160925</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>Point</sdtstype>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <eainfo>\n <overview>\n <eaover>Data dictionaries for USA-NPN observational data fields are temporarily available at www.usanpn.org/files/metadata/all_datafield_descriptions.xlsx and www.usanpn.org/files/metadata/ancillary_datafield_descriptions.xlsx and will be included in forthcoming USGS Open File Report.</eaover>\n <eadetcit>Citation pending.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Excel file, .xlsx</formname>\n </digtinfo>\n <digtopt>The data file will be posted on ScienceBase, www.sciencebase.gov.</digtopt>\n </digform>\n <digform>\n <digtinfo>\n <formname>Excel file, .xlsx</formname>\n </digtinfo>\n <digtopt />\n </digform>\n <fees>None.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Theresa Crimmins</cntper>\n <cntorg>USA National Phenology Network</cntorg>\n </cntperp>\n <cntpos>Assistant Director</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>1311 E 4th St</address>\n <city>Tucson</city>\n <state>AZ</state>\n <postal>85721</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>+1-520-621-8523</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
Generate a FGDC (Federal Geographic Data Committee) XML from following description of datarelease: | [Skip to main content](#sb-container-body)
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [Ohio-Kentucky-Indiana Water Science Center](/catalog/item/5ab27be8e4b081f61ab45ebb)
3. [PeakFQ inputs and selected outputs for selected streamgages in Ohio and border areas of adjacent states (through water year 2015)](/catalog/folder/5b92ba61e4b0702d0e80a26d)
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## Dates
Publication Date2019-10-03Start Date1885End Date2015
## Citation
Koltun, G.F., 2019, PeakFQ inputs and selected outputs for selected streamgages in Ohio and border areas of adjacent states (through water year 2015): U.S. Geological Survey data release, https://doi.org/10.5066/P9V3IG0P.
## Summary
Contains inputs (PeakFQ psf file and peak-flow data) to the PeakFQ program for selected unregulated and regulated streamgages in Ohio and border areas of adjacent states. Zip archive also contains PeakFQ print files for each streamgage (listed by the eight-digit streamgage identification number).
## Summary
Contains inputs (PeakFQ psf file and peak-flow data) to the PeakFQ program for selected unregulated and regulated streamgages in Ohio and border areas of adjacent states. Zip archive also contains PeakFQ print files for each streamgage (listed by the eight-digit streamgage identification number).
## Contacts
Point of Contact
:
[Greg F Koltun](/catalog/catalogParty/show?partyId=5633),
[Ohio-Kentucky-Indiana Water Science Center](/catalog/catalogParty/show?partyId=17276)
Originator
:
[Greg F Koltun](/catalog/catalogParty/show?partyId=5633)
Metadata Contact
:
[Greg F Koltun](/catalog/catalogParty/show?partyId=5633),
[Ohio-Kentucky-Indiana Water Science Center](/catalog/catalogParty/show?partyId=17276)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[Ohio-Kentucky-Indiana Water Science Center](/catalog/catalogParty/show?partyId=17276)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5b92ba61e4b0702d0e80a26d?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5b92ba61e4b0702d0e80a26d?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5b92ba61e4b0702d0e80a26d?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
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| | | | |
| --- | --- | --- | --- |
| flood\_frequency.xml<br>_Original FGDC Metadata_ | View | 8.29 KB | application/fgdc+xml |
| Ohio\_flood\_frequency.zip | | 1.59 MB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Koltun, G.F., 2019, Flood-frequency estimates for Ohio streamgages based on data through water year 2015 and techniques for estimating flood-frequency characteristics of rural, unregulated Ohio streams: U.S. Geological Survey Scientific Investigations Report 2019–5018, 25 p., https://dx.doi.org/10.3133/sir20195018 | [https://doi.org/10.3133/sir20195018](https://doi.org/10.3133/sir20195018 "https://doi.org/10.3133/sir20195018") |
## Purpose
The input data were used to compute flood-frequency statistics, some of which were ultimately used to develop regional regression equations for estimating flood-frequency statistics at rural, unregulated ungaged locations in Ohio.
## [Map](/catalog/item/imap/5b92ba61e4b0702d0e80a26d)
[](/catalog/item/imap/5b92ba61e4b0702d0e80a26d)
## Spatial Services
ScienceBase WMS
## Communities
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## Tags
Harvest Set
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## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9V3IG0P |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>G.F. Koltun</origin>\n <pubdate>20191003</pubdate>\n <title>PeakFQ inputs and selected outputs for selected streamgages in Ohio and border areas of adjacent states (through water year 2015)</title>\n <geoform>Text files</geoform>\n <pubinfo>\n <pubplace>Columbus, OH</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9V3IG0P</onlink>\n <lworkcit>\n <citeinfo>\n <origin>G.F. Koltun</origin>\n <pubdate>2019</pubdate>\n <title>Flood-Frequency Estimates for Ohio Streamgages Based on Data through Water Year 2015 and Techniques for Estimating Flood-Frequency Characteristics of Rural, Unregulated Ohio Streams</title>\n <geoform>Report</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://dx.doi.org/10.3133/sir2019####</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Contains inputs (PeakFQ psf file and peak-flow data) to the PeakFQ program for selected unregulated and regulated streamgages in Ohio and border areas of adjacent states. Zip archive also contains PeakFQ print files for each streamgage (listed by the eight-digit streamgage identification number).</abstract>\n <purpose>The input data were used to compute flood-frequency statistics, some of which were ultimately used to develop regional regression equations for estimating flood-frequency statistics at rural, unregulated ungaged locations in Ohio.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>1885</begdate>\n <enddate>2015</enddate>\n </rngdates>\n </timeinfo>\n <current>Period of record analyzed</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-85.35</westbc>\n <eastbc>-79.77</eastbc>\n <northbc>42.21</northbc>\n <southbc>38.15</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>floods</themekey>\n <themekey>statistical analysis</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5b92ba61e4b0702d0e80a26d</themekey>\n </theme>\n <place>\n <placekt>Getty Thesaurus of Geographic Names</placekt>\n <placekey>Ohio</placekey>\n <placekey>Indiana</placekey>\n <placekey>Michigan</placekey>\n <placekey>Pennsylvania</placekey>\n <placekey>Kentucky</placekey>\n <placekey>Indiana</placekey>\n <placekey>West Virginia</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Greg F Koltun</cntper>\n <cntorg>Midwest Region: Ohio-Kentucky-Indiana WSC</cntorg>\n </cntperp>\n <cntpos>Hydrologist (Engr)</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>6460 Busch Boulevard</address>\n <city>Columbus</city>\n <state>OH</state>\n <postal>43229-1753</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>614-430-7708</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>Peak data are reviewed by the U.S. Geological Survey as part of standard quality assurance procedures. Some input parameters such as perception thresholds are based on the judgement of the analyst.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Peak-flow data for Ohio were obtained from the Ohio NWIS database. Peak-flow data from other states were obtained from NWISWeb (https://waterdata.usgs.gov/usa/nwis/nwis). Data were manually reviewed in PeakFQ.</procdesc>\n <procdate>2017</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <overview>\n <eaover>The input and output data file formats are described in the PeakFQ user's manual.</eaover>\n <eadetcit>Flynn, K.M., Kirby, W.H., and Hummel, P.R., 2006, User\xe2\x80\x99s Manual for Program PeakFQ Annual Flood-Frequency Analysis \nUsing Bulletin 17B Guidelines: U.S. Geological Survey, Techniques and Methods Book 4, Chapter B4; 42 pgs. \nhttps://pubs.usgs.gov/tm/2006/tm4b4/tm4b4.pdf</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it may contain copyrighted materials. Permission to reproduce copyrighted items must be secured from the copyright owner. The data have been approved for release by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of these data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations.</distliab>\n <techpreq>This zip file contains data inputs suitable for use with the PeakFQ program (version 7.2). The user must have software capable of uncompressing the zip file and must also have the PeakFQ program (available at https://water.usgs.gov/software/PeakFQ/). The zip file also contains a map and table in portable document format (PDF). Free PDF viewers are available from Adobe and other sources.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Greg F Koltun</cntper>\n <cntorg>Midwest Region: Ohio-Kentucky-Indiana WSC</cntorg>\n </cntperp>\n <cntpos>Hydrologist (Engr)</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>6460 Busch Boulevard</address>\n <city>Columbus</city>\n <state>OH</state>\n <postal>43229-1753</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>614-430-7708</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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## Dates
Publication Date2016Time Period2009
## Citation
Friesz, A.M., Wylie, B.K., and Howard, D.M., 2016, Modeled conterminous United States Crop Cover datasets for 2000 - 2013: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7S75DFV.
## Summary
Crop cover maps have become widely used in a range of research applications. Multiple crop cover maps have been developed to suite particular research interests. The National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) are a series of commonly used crop cover maps for the conterminous United States (CONUS) that span from 2008-2013. In this investigation we wanted to expand the temporal coverage of the NASS CDL archive back to 2000 by creating yearly NASS CDL-like crop cover maps derived from a classification tree model algorithm. We used over 11 million crop sample records to train a classification tree algorithm and to develop a crop classification model (CCM). The model was used to create crop cover maps for \[...\]
## Summary
Crop cover maps have become widely used in a range of research applications. Multiple crop cover maps have been developed to suite particular research interests. The National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) are a series of commonly used crop cover maps for the conterminous United States (CONUS) that span from 2008-2013. In this investigation we wanted to expand the temporal coverage of the NASS CDL archive back to 2000 by creating yearly NASS CDL-like crop cover maps derived from a classification tree model algorithm. We used over 11 million crop sample records to train a classification tree algorithm and to develop a crop classification model (CCM). The model was used to create crop cover maps for the CONUS for years 2000-2013 at 250 meter spatial resolution. The CCM and the maps for years 2008-2013 were assessed for accuracy relative to downscaled NASS CDLs to 250 meter. The CCM performed well against a withheld test dataset with a prediction accuracy of over 90 percent. The assessment of the crop cover maps indicated that the model performed well spatially, placing crop cover pixels within their known domains. However, the model did show a bias toward the “Other” crop cover class which caused frequent misclassifications of pixels around the periphery of large crop cover patches and of pixels that form small, sparsely dispersed crop cover patches.
## Contacts
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[Aaron M. Friesz](/catalog/catalogParty/show?partyId=Aaron+M.+Friesz),
[Bruce K. Wylie](/catalog/catalogParty/show?partyId=Bruce+K.+Wylie),
[Daniel M. Howard](/catalog/catalogParty/show?partyId=Daniel+M.+Howard)
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| --- | --- | --- | --- |
| Annual\_CONUS\_CCM\_2009.xml<br>_Original FGDC Metadata_ | View | 14.06 KB | application/fgdc+xml |
| Annual\_CONUS\_CCM\_2009.hdr | | 929 Bytes | text/plain |
| Annual\_CONUS\_CCM\_2009.img | | 222.68 MB | application/unknown |
| Annual\_CONUS\_CCM\_2009.img.vat.cpg | | 5 Bytes | text/plain |
| Annual\_CONUS\_CCM\_2009.img.vat.dbf | | 428 Bytes | application/unknown |
## Purpose
The purpose of developing the dataset was to expand the temporal coverage of the NASS CDL archive back to 2000 by creating yearly NASS CDL-like crop cover maps.
## [Map](/catalog/item/imap/578e49eae4b0f1bea0e1479f)
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## Communities
- USGS Data Release Products
## Tags
Theme
- [Conterminous United States](/catalog/items?q=&filter=tags%3DConterminous+United+States "Conterminous United States (Conterminous United States, Theme, None)")
- [Crop Cover](/catalog/items?q=&filter=tags%3DCrop+Cover "Crop Cover (Crop Cover, Theme, None)")
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## Provenance
Data sourceInput directly
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Aaron M. Friesz</origin>\n <origin>Bruce K. Wylie</origin>\n <origin>Daniel M. Howard</origin>\n <pubdate>2016</pubdate>\n <title>Modeled conterminous United States Crop Cover datasets for 2009</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>EROS Data Center, Sioux Falls</pubplace>\n <publish>U. S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.5066/F7S75DFV</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Crop cover maps have become widely used in a range of research applications. Multiple crop cover maps have been developed to suite particular research interests. The National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) are a series of commonly used crop cover maps for the conterminous United States (CONUS) that span from 2008-2013. In this investigation we wanted to expand the temporal coverage of the NASS CDL archive back to 2000 by creating yearly NASS CDL-like crop cover maps derived from a classification tree model algorithm. We used over 11 million crop sample records to train a classification tree algorithm and to develop a crop classification model (CCM). The model was used to create crop cover maps for the CONUS for years 2000-2013 at 250 meter spatial resolution. The CCM and the maps for years 2008-2013 were assessed for accuracy relative to downscaled NASS CDLs to 250 meter. The CCM performed well against a withheld test dataset with a prediction accuracy of over 90 percent. The assessment of the crop cover maps indicated that the model performed well spatially, placing crop cover pixels within their known domains. However, the model did show a bias toward the \xe2\x80\x9cOther\xe2\x80\x9d crop cover class which caused frequent misclassifications of pixels around the periphery of large crop cover patches and of pixels that form small, sparsely dispersed crop cover patches.</abstract>\n <purpose>The purpose of developing the dataset was to expand the temporal coverage of the NASS CDL archive back to 2000 by creating yearly NASS CDL-like crop cover maps.</purpose>\n <supplinf>Aaron M. Friesz, Bruce K. Wylie, and Daniel M. Howard, Temporal Expansion of Annual Crop Classification Layers for the CONUS Using the C5 Decision Tree Classifier, Submitted to Remote Sensing Letters\n(This dataset was produced with the method described in Howard and Wylie 2014: http://dx.doi.org/10.14358/PERS.80.6.537-549)</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>2009</caldate>\n </sngdate>\n </timeinfo>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Unknown</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-129.499345186</westbc>\n <eastbc>-64.435461367</eastbc>\n <northbc>51.021737998</northbc>\n <southbc>21.808578275</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>Crop Cover</themekey>\n <themekey>Conterminous United States</themekey>\n <themekey>Cropland Data Layers</themekey>\n <themekey>NASS CDL</themekey>\n <themekey>Decision Tree Classifier</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:578e49eae4b0f1bea0e1479f</themekey>\n </theme>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey, CLIMATE & LAND-USE</cntorg>\n <cntper>Bruce K Wylie</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>47914 252Nd Street</address>\n <city>Sioux Falls</city>\n <state>SD</state>\n <postal>57198</postal>\n </cntaddr>\n <cntvoice>605-594-6078</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>The classification model was evaluated against an independently withheld portions of test dataset to determine the accuracy of the classifier. Using our test dataset, it was determined that the CCM accurately classified crop cover in over 92 percent of the test cases. A pixel-by-pixel comparison between the CCM maps (2008-2013) and their respective resampled NASS CDL was also performed to determine the accuracy of the modeled maps relative to the resampled NASS CDL. The modeled crop cover maps, which were translated from the CCM, yielded an overall accuracy ranging from 65 to 74 percent for years between 2008 and 2013.</attraccr>\n </attracc>\n <logic>Visual inspection (pixel-by-pixel) of the modeled maps showed that crop classes were being placed within their typical coverage.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <title>National Agricultural Statistics Service (NASS) Cropland Data Layers</title>\n <geoform>Raster Digital Data Set</geoform>\n <onlink>https://nassgeodata.gmu.edu/CropScape/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srccitea>Source Input 1</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Development of the data set by the agency / individuals identified in the 'Originator' element in the Identification Info section of the record.</procdesc>\n <procdate>Unknown</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Raster</direct>\n <rastinfo>\n <rasttype>Grid Cell</rasttype>\n <rowcount>12236</rowcount>\n <colcount>19083</colcount>\n <vrtcount>1</vrtcount>\n </rastinfo>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>USA Contiguous Albers Equal Area Conic USGS version (ESRI Full Name: USA_Contiguous_Albers_Equal_Area_Conic_USGS_version)</mapprojn>\n <albers>\n <stdparll>29.5</stdparll>\n <stdparll>45.5</stdparll>\n <longcm>-96.0</longcm>\n <latprjo>23.0</latprjo>\n <feast>0.0</feast>\n <fnorth>0.0</fnorth>\n </albers>\n </mapproj>\n <planci>\n <plance>row and column</plance>\n <coordrep>\n <absres>250.0</absres>\n <ordres>250.0</ordres>\n </coordrep>\n <plandu>Meter</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D_North_American_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Attribute Table</enttypl>\n <enttypd>Table containing attribute information associated with the data set.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Unknown</attrdef>\n <attrdefs>National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL)</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>NoData</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Corn</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2</edomv>\n <edomvd>Cotton</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>4</edomv>\n <edomvd>Sorghum</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>5</edomv>\n <edomvd>Soybeans</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>23</edomv>\n <edomvd>Spring Wheat</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>24</edomv>\n <edomvd>Winter Wheat</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>36</edomv>\n <edomvd>Alfalfa</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>37</edomv>\n <edomvd>Other Hay/non Alfalfa</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>61</edomv>\n <edomvd>Fallow/idle Cropland</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>99</edomv>\n <edomvd>Other Crops</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Count</attrlabl>\n <attrdef>Unknown</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>197462</rdommin>\n <rdommax>202030479</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <address>Denver Federal Center</address>\n <address>Building 810</address>\n <address>Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntfax>1-888-275-8747</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Raster Digital Data Set</formname>\n </digtinfo>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200818</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Devendra Dahal (CTR)</cntper>\n <cntorg>U.S. Geological Survey, CLIMATE & LAND-USE</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>47914 252Nd Street</address>\n <city>Sioux Falls</city>\n <state>SD</state>\n <postal>57198</postal>\n </cntaddr>\n <cntvoice>605-594-2716</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Benthic Laboratory](/catalog/item/5d6efc05e4b0c4f70cf6cd4a)
3. [Priority Ecosystem Science Program: benthic community and bivalve metrics data in Grizzly Bay and San Pablo Bay (2019-20)](/catalog/folder/5f481e9b82ce4c3d1228bc22)
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## Dates
Start Date2019End Date2020Publication Date2021-03-09
## Citation
Zierdt Smith, E.L., Shrader, K.H., Parchaso, F., Thompson, J.K., 2021, Priority Ecosystem Science Program: benthic community and bivalve metrics data in Grizzly Bay and San Pablo Bay (2019-20): U.S. Geological Survey data release, https://doi.org/10.5066/P98M0EGD.
## Summary
Sediments and sediment transport influence the physical habitat and the ecology of the San Francisco Bay estuary. Bed sediments provide habitat for benthic organisms and the transport of sediment transports nutrients and contaminants throughout the San Francisco Bay. As part of the SF Bay-Delta Priority Ecosystems Science Program project: Biophysical Controls on Erosion and Near-Bed Turbulence: Strengthening Sediment Transport Modeling in San Francisco Bay, this data release represents data that can be used to examine the benthic biota influence on bed sediment properties.
## Summary
Sediments and sediment transport influence the physical habitat and the ecology of the San Francisco Bay estuary. Bed sediments provide habitat for benthic organisms and the transport of sediment transports nutrients and contaminants throughout the San Francisco Bay. As part of the SF Bay-Delta Priority Ecosystems Science Program project: Biophysical Controls on Erosion and Near-Bed Turbulence: Strengthening Sediment Transport Modeling in San Francisco Bay, this data release represents data that can be used to examine the benthic biota influence on bed sediment properties.
## Contacts
Originator
:
[Emily L Zierdt Smith](/catalog/catalogParty/show?partyId=75312),
[Kelly H Shrader](/catalog/catalogParty/show?partyId=74285),
[Francis Parchaso](/catalog/catalogParty/show?partyId=7849),
[Janet K McHendrie](/catalog/catalogParty/show?partyId=10361)
Point of Contact
:
[Emily L Zierdt Smith](/catalog/catalogParty/show?partyId=75312)
Metadata Contact
:
[Emily L Zierdt Smith](/catalog/catalogParty/show?partyId=75312)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
:
[Office of the Chief Operating Officer](/catalog/catalogParty/show?partyId=77215)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5f481e9b82ce4c3d1228bc22?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5f481e9b82ce4c3d1228bc22?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5f481e9b82ce4c3d1228bc22?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
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| | | | |
| --- | --- | --- | --- |
| Metadata\_Record\_Priority Ecosystem Science Program benthic community and bivalve metrics data in Grizzly Bay and San Pablo Bay (2019-20).xml<br>_Original FGDC Metadata_ | View | 40.18 KB | application/fgdc+xml |
| IMG\_20200122\_104616.jpg |  | 163.98 KB | image/jpeg |
| T1\_PES\_DataDictionary\_final.csv | | 28.47 KB | text/csv |
| T1\_PES\_DataDictionary\_final.xlsx | | 17.66 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T2\_PES\_SpeciesList\_final.csv | | 2.26 KB | text/csv |
| T2\_PES\_SpeciesList\_final.xlsx | | 11.46 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T3\_PES\_BenthicData\_final.csv | | 60.79 KB | text/csv |
| T3\_PES\_BenthicData\_final.xlsx | | 35.78 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T4\_PES\_ClamData\_final.csv | | 57.33 KB | text/csv |
| T4\_PES\_ClamData\_final.xlsx | | 45.83 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T5\_PES\_CoreBenthic\_final.csv | | 81.44 KB | text/csv |
| T5\_PES\_CoreBenthic\_final.xlsx | | 42.47 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T6\_PES\_CoreClamData\_final.csv | | 90.17 KB | text/csv |
| T6\_PES\_CoreClamData\_final.xlsx | | 53.59 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T7\_PES\_BiomassData\_final.csv | | 1.86 KB | text/csv |
| T7\_PES\_BiomassData\_final.xlsx | | 11.2 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T8\_PES\_CoreBiomassData\_final.csv | | 1.28 KB | text/csv |
| T8\_PES\_CoreBiomassData\_final.xlsx | | 10.52 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
## Purpose
Data were collected to examine the role the benthos plays on sediment properties in San Pablo and Grizzly Bay. These data were collected as part of a collaborative study between the USGS Water Resources Mission Area, the USGS California Water Science Center, and the USGS Pacific Coastal and Marine Science Center investigating physical and biological controls on sediment erodibility. These data are intended for researchers, students, policymakers, and the general public.
## Preview Image
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## [Map](/catalog/item/imap/5f481e9b82ce4c3d1228bc22)
[](/catalog/item/imap/5f481e9b82ce4c3d1228bc22)
## Spatial Services
ScienceBase WMS
## Communities
- USGS Benthic Laboratory
- USGS Data Release Products
## Associated Items
- _related to_ [Hydrodynamic and sediment transport data from San Pablo Bay and Grizzly Bay, California, 2019](/catalog/item/5f331ae582cee144fb31afd0 "Hydrodynamic and sediment transport data from San Pablo Bay and Grizzly Bay, California, 2019")
- _related_ [Hydrodynamic and sediment transport data from San Pablo Bay and Grizzly Bay, California, 2020](/catalog/item/60a2c4b3d34ea221ce432ce3 "Hydrodynamic and sediment transport data from San Pablo Bay and Grizzly Bay, California, 2020")
- [View Associated Items](/catalog/itemLinks?itemId=5f481e9b82ce4c3d1228bc22)
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
USGS Scientific Topic Keyword
- [Ecology](/catalog/items?q=&filter=tags%3DEcology "Ecology (Ecology, USGS Scientific Topic Keyword, )")
Types
- [Map Service](/catalog/items?q=&filter=browseType%3DMap+Service "Map Service")
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## Provenance
Data sourceInput directly
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P98M0EGD |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Zierdt Smith, Emily L.</origin>\n <origin>Shrader, Kelly H.</origin>\n <origin>Parchaso, Francis</origin>\n <origin>Thompson, Janet K.</origin>\n <pubdate>20210309</pubdate>\n <title>Priority Ecosystem Science Program: benthic community and bivalve metrics data in Grizzly Bay and San Pablo Bay (2019-20)</title>\n <geoform>Excel and CSV spreadsheets</geoform>\n <pubinfo>\n <pubplace>Menlo Park, CA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P98M0EGD</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This data release contains eight data tables and a data dictionary for the SF Bay-Delta Priority Ecosystems Science Program - Biophysical Controls on Erosion and Near-Bed Turbulence: Strengthening Sediment Transport Modeling in San Francisco Bay. The data are provided in comma-delimited value spreadsheets as well as Microsoft Excel Worksheet formats.</abstract>\n <purpose>Data were collected to examine the role the benthos plays on sediment properties in San Pablo and Grizzly Bay. These data were collected as part of a collaborative study between the USGS Water Resources Mission Area, the USGS California Water Science Center, and the USGS Pacific Coastal and Marine Science Center investigating physical and biological controls on sediment erodibility. These data are intended for researchers, students, policymakers, and the general public.</purpose>\n <supplinf>Sediments and sediment transport influence the physical habitat and the ecology of the San Francisco Bay estuary. Bed sediments provide habitat for benthic organisms and the transport of sediment transports nutrients and contaminants throughout the San Francisco Bay. As part of the SF Bay-Delta Priority Ecosystems Science Program project: Biophysical Controls on Erosion and Near-Bed Turbulence: Strengthening Sediment Transport Modeling in San Francisco Bay, this data release represents data that can be used to examine the benthic biota influence on bed sediment properties. \n\nThe USGS Water Resources Missions Area (WMA) Benthic Laboratory collected benthic samples during two study periods (summer 2019 and winter 2020) in conjunction with sampling conducted by USGS California Water Science Center (WSC; Sacramento, CA) and USGS Pacific Coastal and Marine Science Center (Santa Cruz, CA). Benthic samples collected on 6/12/2019, 7/11/2019, 8/26/2019, 1/22/2020, and 2/24/2020 were collected by the USGS Benthic Laboratory. CA Department of Water Resources (DWR) monthly monitoring data was used to fill in gaps between June 2019 and September 2020 to calculate bivalve biomass. Species abundance from DWR September 2020 data is reported with USGS Benthic Laboratory data. USGS WSC Sacramento collected sediment cores on 1/22/2020, 1/23/2020, 2/5/2020, 2/6/2020, 2/12/2020, 2/13/2020, 2/25/2020, 2/26/2020, 3/10/2020, and 3/11/2020. These cores were sent to the USGS Benthic Laboratory for benthic species processing.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20190612</begdate>\n <enddate>20200916</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-122.39067</westbc>\n <eastbc>-122.03955</eastbc>\n <northbc>38.11713</northbc>\n <southbc>38.08472</southbc>\n </bounding>\n <descgeog>San Pablo Bay, CA; Grizzly Bay, CA</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>bivalve</themekey>\n <themekey>benthic ecosystems</themekey>\n <themekey>community ecology</themekey>\n <themekey>sediment transport</themekey>\n </theme>\n <theme>\n <themekt>Marine Realms Information Bank (MRIB), USGS Thesaurus</themekt>\n <themekey>bivalves</themekey>\n <themekey>invertebrates</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5f481e9b82ce4c3d1228bc22</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>California</placekey>\n <placekey>Grizzly Bay</placekey>\n <placekey>San Pablo Bay</placekey>\n <placekey>San Francisco Bay</placekey>\n <placekey>Sacramento-San Joaquin Delta</placekey>\n </place>\n <stratum>\n <stratkt>Marine Realms Information Bank (MRIB), USGS Thesaurus</stratkt>\n <stratkey>benthos</stratkey>\n </stratum>\n <temporal>\n <tempkt>USGS Thesaurus</tempkt>\n <tempkey>seasons</tempkey>\n <tempkey>time periods</tempkey>\n </temporal>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Francis Parchaso</cntper>\n <cntorg>WMA: Earth System Processes Division</cntorg>\n </cntperp>\n <cntpos>Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 496, 345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>650-329-4586</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>California Department of Water Resources and USGS California Water Science Center</datacred>\n <taxonomy>\n <keywtax>\n <taxonkt>USGS Biocomplexity Thesaurus</taxonkt>\n <taxonkey>Annelids</taxonkey>\n <taxonkey>Crustaceans</taxonkey>\n <taxonkey>Bivalves</taxonkey>\n </keywtax>\n <taxonsys>\n <classsys>\n <classcit>\n <citeinfo>\n <origin>Integrated Taxonomic Information System (ITIS)</origin>\n <pubdate>2020</pubdate>\n <title>Integrated Taxonomic Information System (ITIS)</title>\n <geoform>ONLINE_REFERENCE</geoform>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>Integrated Taxonomic Information System (ITIS)</publish>\n </pubinfo>\n <onlink>http://itis.gov</onlink>\n </citeinfo>\n </classcit>\n </classsys>\n <classsys>\n <classcit>\n <citeinfo>\n <origin>Carlton, James T.</origin>\n <pubdate>2007</pubdate>\n <title>The Light and Smith Manual: Intertidal Invertebrates from Central California to Oregon</title>\n <geoform>BOOK</geoform>\n <pubinfo>\n <pubplace>Berkeley and Los Angeles, California</pubplace>\n <publish>University of California Press</publish>\n </pubinfo>\n <onlink>https://www.ucpress.edu/book/9780520239395/the-light-and-smith-manual</onlink>\n </citeinfo>\n </classcit>\n </classsys>\n <ider>\n <cntinfo>\n <cntperp>\n <cntper>Emily L Zierdt Smith</cntper>\n <cntorg>WMA: Earth System Processes Division</cntorg>\n </cntperp>\n <cntpos>Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 496, 345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>650-329-4574</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ider>\n <ider>\n <cntinfo>\n <cntperp>\n <cntper>Kelly H. Shrader</cntper>\n <cntorg>WMA: Earth System Processes Division</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 496, 345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>650-329-4574</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ider>\n <ider>\n <cntinfo>\n <cntperp>\n <cntper>Wayne Fields</cntper>\n <cntorg>Hydrozoology</cntorg>\n </cntperp>\n <cntpos>Taxonomist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>PO Box 682</address>\n <city>Newcastle</city>\n <state>CA</state>\n <postal>95658</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>(916) 663-1900</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ider>\n <taxonpro>identification keys;;specimen processing</taxonpro>\n <taxoncom>Our identifications were comprehensive and detailed. We encountered no problems because our methods used for identification are standard and the species found in the study area are well-known to this project.</taxoncom>\n </taxonsys>\n <taxongen>All species were identified and enumerated to the lowest taxon possible. All bivalves were identified to the level of Species in the data. The full taxonomic classifications in this metadata record are provided at a higher level of taxonomic hierarchy. Please refer to Table 2 (T2_PES_SpeciesList.xlsx and T2_PES_SpeciesList.csv) to determine whether a particular species of interest is referenced in the data.</taxongen>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Lophozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Annelida</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Polychaeta</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Lophozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Annelida</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Oligochaeta</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Lophozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Mollusca</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Bivalvia</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Ecdysozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Arthropoda</taxonrv>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Crustacea</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Malacostraca</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Eumalacostraca</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Peracarida</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Amphipoda</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Ecdysozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Arthropoda</taxonrv>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Crustacea</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Malacostraca</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Eumalacostraca</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Peracarida</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Mysida</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Ecdysozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Nematoda</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Ecdysozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Arthropoda</taxonrv>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Crustacea</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Malacostraca</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Eumalacostraca</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Peracarida</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Cumacea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Leuconidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Nippoleucon</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Nippoleucon hinumensis</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Ecdysozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Arthropoda</taxonrv>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Crustacea</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Maxillopoda</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Thecostraca</taxonrv>\n <taxoncl>\n <taxonrn>Infraclass</taxonrn>\n <taxonrv>Cirripedia</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Thoracica</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Sessilia</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Balanomorpha</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Balanoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Balanidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Balanus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Balanus improvisus</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Lophozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Mollusca</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Gastropoda</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Opisthobranchia</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Cephalaspidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Philinidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Philine</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Philine auriformis</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Ecdysozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Arthropoda</taxonrv>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Crustacea</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Malacostraca</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Eumalacostraca</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Peracarida</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Isopoda</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Valvifera</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Idoteidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Synidotea</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Synidotea laevidorsalis</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Ecdysozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Arthropoda</taxonrv>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Crustacea</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Ostracoda</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Myodocopa</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Myodocopida</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Myodocopina</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Sarsielloidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Sarsiellidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Eusarsiella</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Eusarsiella zostericola</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Lophozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Phoronida</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Phoronopsis</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Phoronopsis harmeri</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Deuterostomia</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Chordata</taxonrv>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Urochordata</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Ascidiacea</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Pleurogona</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Stolidobranchia</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Styelidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Styela</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Styela clava</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxonomy>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Tables were cross-checked with other documents to make sure each field had the right data.</attraccr>\n </attracc>\n <logic>Data were checked to ensure that the values fell within the expected ranges and were not duplicated or omitted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>Station latitude and longitude coordinates were plotted to verify they were correct for each station.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>NA</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>For the community data, we created a database of species using Excel and documented how many individuals of each species were present at each station sampled during given months. Bivalves were measured and their sizes were noted in an Excel spreadsheet. Biomass values calculated using appropriate equations from the literature and populated an Excel spreadsheet.</procdesc>\n <procdate>2020</procdate>\n </procstep>\n <method>\n <methtype>both</methtype>\n <methdesc>Stations sampled were within San Pablo Bay and Grizzly Bay. Benthic grab samples were collected by the U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) Benthic Laboratory and CA Department of Water Resources (DWR) monthly monitoring personnel. DWR and the USGS Benthic Laboratory used a 0.05m2 Ponar/van Veen grab to take four grabs at each station, screened the samples through a 0.5mm screen, preserved in 10-percent buffered formalin, and transferred to 70-percent ethyl alcohol with rose bengal dye. Sediment cores were collected by the USGS CA Water Science Center (WSC). Using cores that were 23 cm long and 10 cm wide, two cores were collected at each station (labeled \xe2\x80\x98Station location\xe2\x80\x99 followed by \xe2\x80\x98A\xe2\x80\x99 or \xe2\x80\x98B\xe2\x80\x99). The cores were then screened through a 0.5mm screen, preserved in 10-percent buffered formalin, and transferred to 70-percent ethyl alcohol with rose bengal dye. \n\nSamples were sorted by the USGS Benthic Laboratory in Menlo Park. Species were enumerated and identified to the lowest taxon using a USGS benthic invertebrate voucher collection. Annelids were not enumerated or identified by the USGS Benthic Laboratory. Biomass estimates were based on relationships between shell length and dry tissue weight that were calculated by the USGS using the standard techniques described in Thompson and others (2008). U.S. Geological Survey personnel measured the bivalves to the nearest mm using calipers and have been using this technique for over 20 years. Bivalve data from samples collected by DWR were used in biomass calculations.</methdesc>\n <methcite>\n <citeinfo>\n <origin>Stevens Jr, D. L., & Olsen, A. R.</origin>\n <pubdate>2004</pubdate>\n <title>Spatially balanced sampling of natural resources.</title>\n <geoform>Document</geoform>\n <onlink>https://swap.stanford.edu/20110204152857/http:/www.epa.gov/nheerl/arm/documents/grts_asa.pdf</onlink>\n </citeinfo>\n </methcite>\n <methcite>\n <citeinfo>\n <origin>O'Riordan, C.A., Monismith, S.G., and Koseff, J.R.</origin>\n <pubdate>1995</pubdate>\n <title>The effect of bivalve excurrent jet dynamics on mass transfer in a benthic boundary layer</title>\n <geoform>Document</geoform>\n <onlink>https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.4319/lo.1995.40.2.0330</onlink>\n </citeinfo>\n </methcite>\n </method>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>1.0E-6</latres>\n <longres>1.0E-6</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>T1_PES_DataDictionary (*.xlsx, *.csv)</enttypl>\n <enttypd>This table defines all terms for T2_PES_Species list (*.xlsx, *.csv), T3_PES_BenthicData (*.xlsx, *.csv), T4_PES_ClamData (*.xlsx, *.csv), T5_PES_CoreBenthic (*.xlsx, *.csv), T6_PES_CoreClamData (*.xlsx, *.csv), T7_PES_BiomassData (*.xlsx, *.csv), T8_PES_CoreBiomassData (*.xlsx, *.csv)</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 1, columns 1-13</attrlabl>\n <attrdef>Table No, Table Name, Table Column, Column heading, Column description, Extended Description, Unit Abbreviation, Unit Definition, Additional Column Note, Analytical Laboratory Name, Analytical Laboratory Location, Method Reference-Primary, Method Reference-Secondary</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T2_PES_Species list (*.xlsx, *.csv)</enttypl>\n <enttypd>Phylum, Class, Order, Species</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 2, columns 1-4</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_PES_DataDictionary.xlsx and T1_PES_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T3_PES_BenthicData (*.xlsx, *.csv)</enttypl>\n <enttypd>Station, Date, Latitude, Longitude, Phylum, SubCat, Species, Haul 1, Haul 2, Haul 3, Haul 4</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 3, columns 1-11</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_PES_DataDictionary.xlsx and T1_PES_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T4_PES_ClamData (*.xlsx, *.csv)</enttypl>\n <enttypd>Station, Date, Latitude, Longitude, Clam Species, Size (mm), Haul 1, Haul 2, Haul 3, Haul 4, Total, Mean</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 4, columns 1-12</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_PES_DataDictionary.xlsx and T1_PES_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T5_PES_CoreBenthic (*.xlsx, *.csv)</enttypl>\n <enttypd>Region, Station, Date, Latitude, Longitude, Phylum, SubCat, Species, Abundance</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 5, columns 1-8</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_PES_DataDictionary.xlsx and T1_PES_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T6_PES_CoreClamData (*.xlsx, *.csv)</enttypl>\n <enttypd>Region, Station, Date, Latitude, Longitude, Clam Species, Size (mm), Abundance</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 6, columns 1-8</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_PES_DataDictionary.xlsx and T1_PES_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T7_PES_BiomassData (*.xlsx, *.csv)</enttypl>\n <enttypd>Station, Date, Latitude, Longitude, Clam Species, Biomass (gAFDM/m2)</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 7, columns 1-6</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_PES_DataDictionary.xlsx and T1_PES_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table 8_PES_CoreBiomassData (*.xlsx, *.csv)</enttypl>\n <enttypd>Station, Date, Latitude, Longitude, Clam Species, Biomass (gAFDM/m2)</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 8, columns 1-6</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_PES_DataDictionary.xlsx and T1_PES_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>ScienceBase</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20210309</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Emily L Zierdt Smith</cntper>\n <cntorg>WMA: Earth System Processes Division</cntorg>\n </cntperp>\n <cntpos>Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 496, 345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>650-329-4574</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
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3. [Predictions of floodplain and streambank geomorphic change and flux of sediment and nutrients, and streambed characteristics, for stream reaches in the Chesapeake Bay and Delaware River watersheds](/catalog/item/5f5fc8e182ce3550e3bff414)
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## Dates
Publication Date2020-09-29Start Date1870-12-31End Date2015-12-31
## Citation
Noe, G.B., Hopkins, K.G., Metes, M.J., Ahmed, L., Claggett, P.R., Doody, T.R., Schenk, E.R., and Hupp, C.R., 2020, Predictions of floodplain and streambank geomorphic change and flux, streambed characteristics, and catchment inputs and exports of sediment and nutrients for stream reaches in the Chesapeake Bay and Delaware River watersheds: U.S. Geological Survey data release, https://doi.org/10.5066/P93OUWYZ.
## Summary
Predictions from statistical modeling of floodplains, streambanks, and streambeds in the Chesapeake Bay and Delaware River watersheds of the U.S. Mid-Atlantic. Random Forest statistical models using either 1) characteristics of upstream drainage area, or 2) characteristics of upstream drainage area (Wieczorek et al. 2018, https://doi.org/10.5066/f7765d7v) and reach geomorphometry (Hopkins et al. 2020, https://doi.org/10.5066/P9RQJPT1), were used to explain and predict spatial variation in measured floodplain and streambank flux of sediment, fine sediment, sediment-C, sediment-N, and sediment-P and rates of geomorphic change, and streambed sediment characteristics (d50, cover by fine sediment, cover by fine and sand sediment) (Noe et \[...\]
## Summary
Predictions from statistical modeling of floodplains, streambanks, and streambeds in the Chesapeake Bay and Delaware River watersheds of the U.S. Mid-Atlantic. Random Forest statistical models using either 1) characteristics of upstream drainage area, or 2) characteristics of upstream drainage area (Wieczorek et al. 2018, https://doi.org/10.5066/f7765d7v) and reach geomorphometry (Hopkins et al. 2020, https://doi.org/10.5066/P9RQJPT1), were used to explain and predict spatial variation in measured floodplain and streambank flux of sediment, fine sediment, sediment-C, sediment-N, and sediment-P and rates of geomorphic change, and streambed sediment characteristics (d50, cover by fine sediment, cover by fine and sand sediment) (Noe et al. 2020, https://doi.org/10.5066/P9QLJYPX). These predictions were compared to published estimates of upland erosion and delivery of upland erosion to streams (Chesapeake Bay Program, https://cast.chesapeakebay.net/Documentation/ModelDocumentation), and catchment export (Ator 2019, https://doi.org/10.3133/sir20195118).
## Contacts
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[Gregory B Noe](/catalog/catalogParty/show?partyId=7530)
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[Gregory B Noe](/catalog/catalogParty/show?partyId=7530),
[Kristina G Hopkins](/catalog/catalogParty/show?partyId=70269),
[Marina J Metes](/catalog/catalogParty/show?partyId=69091),
[Labeeb Ahmed](/catalog/catalogParty/show?partyId=81346),
[Peter R Claggett](/catalog/catalogParty/show?partyId=1828),
[Thomas R Doody](/catalog/catalogParty/show?partyId=65484),
[Edward R Schenk](/catalog/catalogParty/show?partyId=9096),
[Cliff R Hupp](/catalog/catalogParty/show?partyId=4855)
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[Gregory B Noe](/catalog/catalogParty/show?partyId=7530)
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[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
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## Purpose
Predictions of fluxes and geomorphic change of sediment and nutrients for floodplains and streambanks and streambed characteristics of stream reaches in the Chesapeake Bay and Delaware River watersheds and calculation of watershed sediment and nutrient budgets.
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Gregory B. Noe</origin>\n <origin>Kristina G. Hopkins</origin>\n <origin>Marina J. Metes</origin>\n <origin>Labeeb Ahmed</origin>\n <origin>Peter R. Claggett</origin>\n <origin>Thomas R. Doody</origin>\n <origin>Edward R. Schenk</origin>\n <origin>Cliff R. Hupp</origin>\n <pubdate>20200929</pubdate>\n <title>Predictions of floodplain and streambank geomorphic change and flux, streambed characteristics, and catchment inputs and exports of sediment and nutrients for stream reaches in the Chesapeake Bay and Delaware River watersheds</title>\n <geoform>spreadsheet</geoform>\n <onlink>https://doi.org/10.5066/P93OUWYZ</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Predictions from statistical modeling of floodplains, streambanks, and streambeds in the Chesapeake Bay and Delaware River watersheds of the U.S. Mid-Atlantic. Random Forest statistical models using either 1) characteristics of upstream drainage area, or 2) characteristics of upstream drainage area (Wieczorek et al. 2018, https://doi.org/10.5066/f7765d7v) and reach geomorphometry (Hopkins et al. 2020, https://doi.org/10.5066/P9RQJPT1), were used to explain and predict spatial variation in measured floodplain and streambank flux of sediment, fine sediment, sediment-C, sediment-N, and sediment-P and rates of geomorphic change, and streambed sediment characteristics (d50, cover by fine sediment, cover by fine and sand sediment) (Noe et al. 2020, https://doi.org/10.5066/P9QLJYPX). These predictions were compared to published estimates of upland erosion and delivery of upland erosion to streams (Chesapeake Bay Program, https://cast.chesapeakebay.net/Documentation/ModelDocumentation), and catchment export (Ator 2019, https://doi.org/10.3133/sir20195118).</abstract>\n <purpose>Predictions of fluxes and geomorphic change of sediment and nutrients for floodplains and streambanks and streambed characteristics of stream reaches in the Chesapeake Bay and Delaware River watersheds and calculation of watershed sediment and nutrient budgets.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>18710101</begdate>\n <enddate>20151231</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-80.5410</westbc>\n <eastbc>-74.3574</eastbc>\n <northbc>42.9873</northbc>\n <southbc>36.6694</southbc>\n </bounding>\n <descgeog>Stream reaches within the Chesapeake Bay and Delaware River watersheds</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>Alexandria Digital Library Feature Type Thesaurus</themekt>\n <themekey>banks (hydrographic)</themekey>\n <themekey>floodplains</themekey>\n <themekey>channels</themekey>\n <themekey>drainage basins</themekey>\n </theme>\n <theme>\n <themekt>Marine Realms Information Bank (MRIB) keywords</themekt>\n <themekey>sediment</themekey>\n <themekey>sediment deposition</themekey>\n <themekey>sediment erosion</themekey>\n <themekey>sediment geochemistry</themekey>\n <themekey>sediment sinks</themekey>\n <themekey>sediment sources</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5f71eb0082cef8d183971684</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>Chesapeake Bay</placekey>\n <placekey>New York</placekey>\n <placekey>Pennsylvania</placekey>\n <placekey>Maryland</placekey>\n <placekey>Delaware</placekey>\n <placekey>Virginia</placekey>\n <placekey>West Virginia</placekey>\n <placekey>New Jersey</placekey>\n <placekey>District of Columbia</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>None. Users are advised to read the data set\'s metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Gregory Noe</cntper>\n <cntorg>U.S. Geological Survey, NORTHEAST REGION</cntorg>\n </cntperp>\n <cntpos>Research Ecologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 926A, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-5826</cntvoice>\n <cntfax>703-648-6953</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Funding support was provided by the USGS Chesapeake Bay Activities program, USGS National Water Quality Program, Penn Foundation, and Smithsonian Institution.</datacred>\n <crossref>\n <citeinfo>\n <origin>Gregory E. Schwarz</origin>\n <origin>Shannon E. Jackson</origin>\n <origin>Michael E. Wieczorek</origin>\n <pubdate>2018</pubdate>\n <title>Select Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Network Routed Upstream Watersheds for the Conterminous United States</title>\n <geoform>dataset</geoform>\n <pubinfo>\n <pubplace>https://www.sciencebase.gov</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/f7765d7v</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Accuracy of model predictions were assessed by out-of-bag validation in Random Forest modeling. See Ator 2019 and Chesapeake Bay Program documentation for accuracy of upland erosion and catchment export modeling.</attraccr>\n </attracc>\n <logic>Data was assessed for completeness and realistic values.</logic>\n <complete>Predictions for each NHDPlusV2 nontidal stream reach in the Chesapeake Bay and Delaware River watersheds</complete>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Gregory E. Schwarz</origin>\n <origin>Shannon E. Jackson</origin>\n <origin>Michael E. Wieczorek</origin>\n <pubdate>2018</pubdate>\n <title>Select Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Network Routed Upstream Watersheds for the Conterminous United States</title>\n <geoform>dataset</geoform>\n <pubinfo>\n <pubplace>https://www.sciencebase.gov</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/f7765d7v</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>1951</begdate>\n <enddate>2011</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>2018</srccurr>\n </srctime>\n <srccitea>watershed attributes</srccitea>\n <srccontr>watershed attributes</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Scott W Ator</origin>\n <pubdate>2020</pubdate>\n <title>SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Northeastern United States, 2012 Base Year</title>\n <geoform>dataset</geoform>\n <pubinfo>\n <pubplace>https://www.sciencebase.gov</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/p9nknvqo</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2012</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>2019</srccurr>\n </srctime>\n <srccitea>SPARROW stream load</srccitea>\n <srccontr>Catchment export of nitrogen, phosphorus, and sediment</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Exported predictions from Random Forest modeling were joined with upland erosion and catchment export predictions by stream COMID.</procdesc>\n <procdate>2020</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>USGS CDFN predictions table.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>COMID</attrlabl>\n <attrdef>Unique ID to relate to each NHDPlusV2 catchment and flow line.</attrdef>\n <attrdefs>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ReachCode</attrlabl>\n <attrdef>The network location is provided by the ReachCode and measure based on the linear referencing system of the NHDFlowline feature class.</attrdef>\n <attrdefs>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FCode</attrlabl>\n <attrdef>Numeric codes for various feature attributes in the NHDFCode lookup table.</attrdef>\n <attrdefs>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HUC4</attrlabl>\n <attrdef>Hydrologic unit code (HUC) identifier for each HUC4.</attrdef>\n <attrdefs>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HUC6</attrlabl>\n <attrdef>Hydrologic unit code (HUC) identifier for each HUC6.</attrdef>\n <attrdefs>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HUC8</attrlabl>\n <attrdef>Hydrologic unit code (HUC) identifier for each HUC8.</attrdef>\n <attrdefs>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GNIS_NAME</attrlabl>\n <attrdef>Feature Name from the Geographic Names Information System.</attrdef>\n <attrdefs>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Name of stream or river.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Province</attrlabl>\n <attrdef>Physiographic province where the stream reach is located.</attrdef>\n <attrdefs>For the Chesapeake Bay watershed: Brakebill & Kelley (2000) https://pubs.er.usgs.gov/publication/ofr00424; and for the Delaware River watershed: EPA Level III Ecoregions https://www.epa.gov/eco-research/level-iii-and-iv-ecoregions-continental-united-states</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>PIEDMONT</edomv>\n <edomvd>Piedmont</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>VALLEY AND RIDGE</edomv>\n <edomvd>Valley and Ridge</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>APPALACHIAN PLATEAUS</edomv>\n <edomvd>Appalachian Plateaus</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>BLUE RIDGE</edomv>\n <edomvd>Blue Ridge</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>COASTAL PLAIN</edomv>\n <edomvd>Coastal Plain</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>CHESAPEAKE BAY</edomv>\n <edomvd>Chesapeake Bay</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ACC upstream drainage area (km2)</attrlabl>\n <attrdef>Accumulated upstream area of NHDPlusV2 flowline catchments in square kilometers, based on divergence routing.</attrdef>\n <attrdefs>Wieczorek, M.E., Jackson, S.E., and Schwarz, G.E., 2018, Select Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Network Routed Upstream Watersheds for the Conterminous United States (ver. 2.0, November 2019): U.S. Geological Survey data release, https://doi.org/10.5066/F7765D7V.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.005</rdommin>\n <rdommax>70156.59</rdommax>\n <attrunit>square kilometers</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Catchment drainage area (km2)</attrlabl>\n <attrdef>Local catchment area of NHDPlusV2 flowline in square kilometers.</attrdef>\n <attrdefs>Wieczorek, M.E., Jackson, S.E., and Schwarz, G.E., 2018, Select Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Network Routed Upstream Watersheds for the Conterminous United States (ver. 2.0, November 2019): U.S. Geological Survey data release, https://doi.org/10.5066/F7765D7V.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0009</rdommin>\n <rdommax>108.4023</rdommax>\n <attrunit>square kilometers</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stream length (km)</attrlabl>\n <attrdef>Length of the NHDPlusV2 flowline stream reach, in kilometers.</attrdef>\n <attrdefs>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.001</rdommin>\n <rdommax>38.297</rdommax>\n <attrunit>kilometers</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stream FTYPE</attrlabl>\n <attrdef>NHD Feature Type</attrdef>\n <attrdefs>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ArtificialPath</edomv>\n <edomvd>A National Hydrography Dataset (NHD) flowline feature type that represents a flow-path through a waterbody in the surface water network of the NHD.</edomvd>\n <edomvds>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>StreamRiver</edomv>\n <edomvd>Stream or river.</edomvd>\n <edomvds>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Connector</edomv>\n <edomvd>Connector.</edomvd>\n <edomvds>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>CanalDitch</edomv>\n <edomvd>Canal or ditch.</edomvd>\n <edomvds>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Coastline</edomv>\n <edomvd>Coastline.</edomvd>\n <edomvds>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Pipeline</edomv>\n <edomvd>Pipeline.</edomvd>\n <edomvds>http://nhd.usgs.gov/NHDDataDictionary_model2.0.pdf</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ArtificialPath_Marsh_NHDwaterbody</attrlabl>\n <attrdef>NHD ArtificialPath and SwampMarsh, and is defined as a natural flowing channel.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>Not NHD \nArtificialPath and SwampMarsh.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>NHD \nArtificialPath and SwampMarsh, and is defined as a natural flowing channel.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ArtificialPath_PondReservoir_NHDwaterbody</attrlabl>\n <attrdef>Identification of a reach that is a NHD \nNHD ArtificialPath and LakePond/Reservoir, and is defined as a human modified channel.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>Not NHD \nArtificialPath and LakePond/Reservoir, and is defined as a human modified channel.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Not NHD \nArtificialPath and LakePond/Reservoir.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ArtificialPath_NHDWaterArea</attrlabl>\n <attrdef>NHD ArtificialPath and NHD open Waterbody, and is defined as a natural flowing channel.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>NHD \nArtificialPath and Waterbody, and is defined as a natural flowing channel.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>Not NHD \nArtificialPath and Waterbody.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Human modified reach: No (0) / Yes (1)</attrlabl>\n <attrdef>Identification of NHD reach as either human modified channel or natural flowing stream reach.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>Natural flowing stream reach.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Human modified channel.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Watershed</attrlabl>\n <attrdef>Identification as NHD reach location in either watershed of Chesapeake Bay or Delaware River.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>C</edomv>\n <edomvd>Chesapeake Bay watershed</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>D</edomv>\n <edomvd>Delaware River watershed</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W floodplain sediment flux (kg-sed m-1 yr-1)</attrlabl>\n <attrdef>Predicted floodplain sediment flux rate, in units of kilograms of sediment per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>14.7</rdommin>\n <rdommax>416.8</rdommax>\n <attrunit>kilograms of sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W floodplain fine sediment flux (kg-finesed m-1 yr-1)</attrlabl>\n <attrdef>Predicted floodplain fine (less than 63 micron) sediment flux rate, in units of kilograms of fine sediment per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3.07</rdommin>\n <rdommax>157.76</rdommax>\n <attrunit>kilograms of fine sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W floodplain sediment-C flux (kg-C m-1 yr-1)</attrlabl>\n <attrdef>Predicted floodplain sediment organic carbon flux rate, in units of kilograms of organic carbon per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.61</rdommin>\n <rdommax>12.63</rdommax>\n <attrunit>kilograms of organic carbon per meter per of stream year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W floodplain sediment-N flux (kg-N m-1 yr-1)</attrlabl>\n <attrdef>Predicted floodplain sediment nitrogen flux rate, in units of kilograms of nitrogen per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.034</rdommin>\n <rdommax>1.0759999999999998</rdommax>\n <attrunit>kilograms of nitrogen per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W floodplain sediment-P flux (kg-P m-1 yr-1)</attrlabl>\n <attrdef>Predicted floodplain sediment phosphorus flux rate, in units of kilograms of phosphorus per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.012</rdommin>\n <rdommax>0.435</rdommax>\n <attrunit>kilograms of phosphorus per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W floodplain x-section accretion area (m2 yr-1)</attrlabl>\n <attrdef>Predicted floodplain cross-sectional accretion area change, in units of square meters of change per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.022000000000000002</rdommin>\n <rdommax>0.508</rdommax>\n <attrunit>square meters of accretion change per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F floodplain sediment flux (kg-sed m-1 yr-1)</attrlabl>\n <attrdef>Predicted floodplain sediment flux rate, in units of kilograms of sediment per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: kilograms of sediment per meter of stream per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F floodplain fine sediment flux (kg-finesed m-1 yr-1)</attrlabl>\n <attrdef>Predicted floodplain fine (less than 63 micron) sediment flux rate, in units of kilograms of fine sediment per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: kilograms of fine sediment per meter of stream per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F floodplain sediment-C flux (kg-C m-1 yr-1)</attrlabl>\n <attrdef>Predicted floodplain sediment organic carbon flux rate, in units of kilograms of organic carbon per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: kilograms of organic carbon per meter of stream per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F floodplain sediment-N flux (kg-N m-1 yr-1)</attrlabl>\n <attrdef>Predicted floodplain sediment nitrogen flux rate, in units of kilograms of nitrogen per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: kilograms of nitrogen per meter of stream per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F floodplain sediment-P flux (kg-P m-1 yr-1)</attrlabl>\n <attrdef>Predicted floodplain sediment phosphorus flux rate, in units of kilograms of phosphorus per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: kilograms of phosphorus per meter of stream per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F floodplain x-section accretion area (m2 yr-1)</attrlabl>\n <attrdef>Predicted floodplain cross-sectional accretion area change, in units of square meters per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: square meters of accretion change per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (F) floodplain sediment flux (kg-sed m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of floodplain sediment flux rate, in units of kilograms of sediment per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F") where FACET estimates are available. Where FACET estimates were not available, then only accumulated upstream watershed ("W") attributes were used to predict. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>12.5</rdommin>\n <rdommax>431.9</rdommax>\n <attrunit>kilograms of sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (F) floodplain fine sediment flux (kg-finesed m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of floodplain fine sediment (less than 63 micron) flux rate, in units of kilograms of fine sediment per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F") where FACET estimates are available. Where FACET estimates were not available, then only accumulated upstream watershed ("W") attributes were used to predict. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3.23</rdommin>\n <rdommax>140.9</rdommax>\n <attrunit>kilograms of fine sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (F) floodplain sediment-C flux (kg-C m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of floodplain sediment organic carbon flux rate, in units of kilograms of organic carbon per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F") where FACET estimates are available. Where FACET estimates were not available, then only accumulated upstream watershed ("W") attributes were used to predict. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.41</rdommin>\n <rdommax>12.74</rdommax>\n <attrunit>kilograms of organic carbon per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (F) floodplain sediment-N flux (kg-N m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of floodplain sediment nitrogen flux rate, in units of kilograms of nitrogen per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F") where FACET estimates are available. Where FACET estimates were not available, then only accumulated upstream watershed ("W") attributes were used to predict. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.034</rdommin>\n <rdommax>1.084</rdommax>\n <attrunit>kilograms of nitrogen per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (F) floodplain sediment-P flux (kg-P m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of floodplain sediment phosphorus flux rate, in units of kilograms of phosphorus per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F") where FACET estimates are available. Where FACET estimates were not available, then only accumulated upstream watershed ("W") attributes were used to predict. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.011000000000000001</rdommin>\n <rdommax>0.435</rdommax>\n <attrunit>kilograms of phosphorus per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (F) floodplain x-section accretion area (m2 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of floodplain cross-section accretion change, in units of square meter per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F") where FACET estimates are available. Where FACET estimates were not available, then only accumulated upstream watershed ("W") attributes were used to predict. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.021</rdommin>\n <rdommax>0.545</rdommax>\n <attrunit>square meters of accretion change per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W streambank sediment flux (kg-sed m-1 yr-1)</attrlabl>\n <attrdef>Predicted streambank sediment flux rate, in units of kilograms of sediment per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-165.6</rdommin>\n <rdommax>-5.0</rdommax>\n <attrunit>kilograms of sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W streambank fine sediment flux (kg-finesed m-1 yr-1)</attrlabl>\n <attrdef>Predicted streambank fine sediment (less than 63 micron) flux rate, in units of kilograms of fine sediment per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-66.3</rdommin>\n <rdommax>-1.04</rdommax>\n <attrunit>kilograms of fine sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W streambank sediment-C flux (kg-C m-1 yr-1)</attrlabl>\n <attrdef>Predicted streambank sediment organic carbon flux rate, in units of kilograms of organic carbon per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-3.92</rdommin>\n <rdommax>-0.13</rdommax>\n <attrunit>kilograms of organic carbon per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W streambank sediment-N flux (kg-N m-1 yr-1)</attrlabl>\n <attrdef>Predicted streambank sediment nitrogen flux rate, in units of kilograms of nitrogen per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.301</rdommin>\n <rdommax>-0.006999999999999999</rdommax>\n <attrunit>kilograms of nitrogen per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W streambank sediment-P flux (kg-P m-1 yr-1)</attrlabl>\n <attrdef>Predicted streambank sediment phosphorus flux rate, in units of kilograms of phosphorus per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.1</rdommin>\n <rdommax>-0.004</rdommax>\n <attrunit>kilograms of phosphorus per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W streambank lateral erosion rate (cm yr-1)</attrlabl>\n <attrdef>Predicted streambank lateral erosion rate, in units of centimeters per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-3.92</rdommin>\n <rdommax>-0.47</rdommax>\n <attrunit>centimeters per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W streambank x-section erosion area (m2 yr-1)</attrlabl>\n <attrdef>Predicted streambank cross-sectional lateral erosion area change, in units of square meters per year. Random Forest model predictors include accumulated upstream watershed ("W") attributes. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.168</rdommin>\n <rdommax>-0.006</rdommax>\n <attrunit>square meters of erosion change per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F streambank sediment flux (kg-sed m-1 yr-1)</attrlabl>\n <attrdef>Predicted streambank sediment flux rate, in units of kilograms of sediment per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: kilograms of sediment per meter of stream per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F streambank fine sediment flux (kg-finesed m-1 yr-1)</attrlabl>\n <attrdef>Predicted streambank fine sediment (less than 63 micron) flux rate, in units of kilograms of fine sediment per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: kilograms of fine sediment per meter of stream per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F streambank sediment-C flux (kg-C m-1 yr-1)</attrlabl>\n <attrdef>Predicted streambank sediment organic carbon flux rate, in units of kilograms of organic carbon per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: kilograms of organic carbon per meter of stream per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F streambank sediment-N flux (kg-N m-1 yr-1)</attrlabl>\n <attrdef>Predicted streambank sediment nitrogen flux rate, in units of kilograms of nitrogen per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: kilograms of nitrogen per meter of stream per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F streambank sediment-P flux (kg-P m-1 yr-1)</attrlabl>\n <attrdef>Predicted streambank sediment phosphorus flux rate, in units of kilograms of phosphorus per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: kilograms of phosphorus per meter of stream per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F streambank lateral erosion rate (cm yr-1)</attrlabl>\n <attrdef>Predicted streambank lateral erosion rate, in units of centimeters per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: centimeters per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F streambank x-section erosion area (m2 yr-1)</attrlabl>\n <attrdef>Predicted streambank cross-sectional lateral erosion area change, in units of square meters per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: square meters of erosion change per year.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (W) streambank sediment flux (kg-sed m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank sediment flux rate, in units of kilograms of sediment per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes ("W"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-165.6</rdommin>\n <rdommax>-5.0</rdommax>\n <attrunit>kilograms of sediment per meter of stream per year.</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (W) streambank fine sediment flux (kg-finesed m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank fine sediment (less than 63 micron) flux rate, in units of kilograms of fine sediment per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes ("W"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-66.3</rdommin>\n <rdommax>-1.04</rdommax>\n <attrunit>kilograms of fine sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (F) streambank sediment-C flux (kg-C m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank sediment organic carbon flux rate, in units of kilograms of organic carbon per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F") where FACET estimates are available. Where FACET estimates were not available, then only accumulated upstream watershed ("W") attributes were used to predict. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-3.94</rdommin>\n <rdommax>-0.12</rdommax>\n <attrunit>kilograms of organic carbon per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (F) streambank sediment-N flux (kg-N m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank sediment nitrogen flux rate, in units of kilograms of nitrogen per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F") where FACET estimates are available. Where FACET estimates were not available, then only accumulated upstream watershed ("W") attributes were used to predict. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.312</rdommin>\n <rdommax>-0.008</rdommax>\n <attrunit>kilograms of nitrogen per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (W) streambank sediment-P flux (kg-P m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank phosphorus flux rate, in units of kilograms of fine phosphorus per meter of stream channel length per year. Random Forest model predictors include accumulated upstream watershed attributes ("W"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.1</rdommin>\n <rdommax>-0.004</rdommax>\n <attrunit>kilograms of phosphorus per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (F) streambank lateral erosion rate (cm yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank lateral erosion rate, in units of centimeters per year. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F") where FACET estimates are available. Where FACET estimates were not available, then only accumulated upstream watershed ("W") attributes were used to predict. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-4.23</rdommin>\n <rdommax>-0.48</rdommax>\n <attrunit>centimeters per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (W) streambank x-section erosion area (m2 yr-1)</attrlabl>\n <attrdef>Most accurate predicted streambank cross-sectional lateral erosion area change, in units of square meters per year. Random Forest model predictors include accumulated upstream watershed attributes ("W"). Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.168</rdommin>\n <rdommax>-0.006</rdommax>\n <attrunit>square meters of erosion change per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W streambed d50 (mm)</attrlabl>\n <attrdef>Predicted median particle size of surface sediment (d50) on the surface of the streambed, in millimeters. Random Forest model predictors include accumulated upstream watershed ("W") attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>143.4</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W streambed fines cover (%)</attrlabl>\n <attrdef>Predicted fine sediment cover on the surface of the streambed, in percentage. Random Forest model predictors include accumulated upstream watershed ("W") attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>39.9</rdommax>\n <attrunit>percentage</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W streambed fines+sands cover (%)</attrlabl>\n <attrdef>Predicted fine plus sand sediment cover on the surface of the streambed, in percentage. Random Forest model predictors include accumulated upstream watershed ("W") attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.8</rdommin>\n <rdommax>80.4</rdommax>\n <attrunit>percentage</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F streambed d50 (mm)</attrlabl>\n <attrdef>Predicted median particle size of sediment (d50) on the surface of the streambed, in millimeters. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F").</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: millimeters.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F streambed fines cover (%)</attrlabl>\n <attrdef>Predicted fine sediment cover on the surface of the streambed, in percentage. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F").</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: percentage.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>F streambed fines+sands cover (%)</attrlabl>\n <attrdef>Predicted fine plus sand sediment cover on the surface of the streambed, in percentage. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F").</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank = no FACET estimates available for the reach and no prediction made. NA = FACET generally available for the reach, but specific FACET predictor in the Random Forest model was missing and prediction could not be made. Value = model prediction. Units: percentage.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (F) streambed d50 (mm)</attrlabl>\n <attrdef>Most accurate prediction of median particle size (d50) of sediment on the surface of the streambed, in millimeters. Random Forest model predictors include accumulated upstream watershed attributes and reach scale geomorphometry from the FACET tool ("F") where FACET estimates are available. Where FACET estimates were not available, then only accumulated upstream watershed ("W") attributes were used to predict.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>116.8</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (W) streambed fines cover (%)</attrlabl>\n <attrdef>Most accurate prediction of fine sediment cover on the surface of the streambed, in percentage. Random Forest model predictors include accumulated upstream watershed ("W") attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>39.9</rdommax>\n <attrunit>percentage</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Best (W) streambed fines+sands cover (%)</attrlabl>\n <attrdef>Most accurate prediction of fine plus sand sediment cover on the surface of the streambed, in percentage. Random Forest model predictors include accumulated upstream watershed ("W") attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.8</rdommin>\n <rdommax>80.4</rdommax>\n <attrunit>percentage</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) floodplain sediment flux (kg-sed m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of floodplain sediment flux rate, in units of kilograms of sediment per meter of stream channel length per year, censored to only make predictions for natural flowing streams and rivers. If upstream drainage area is smaller than three square kilometers, then floodplain is assumed to be absent and flux is defined as zero. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>431</rdommax>\n <attrunit>kilograms of sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) floodplain fine sediment flux (kg-finesed m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of floodplain fine sediment (less than 63 micron) flux rate, in units of kilograms of fine sediment per meter of stream channel length per year, censored to only make predictions for natural flowing streams and rivers. If upstream drainage area is smaller than three square kilometers, then floodplain is assumed to be absent and flux is defined as zero. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>140</rdommax>\n <attrunit>kilograms of fine sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) floodplain sediment-C flux (kg-C m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of floodplain sediment organic carbon flux rate, in units of kilograms of organic carbon per meter of stream channel length per year, censored to only make predictions for natural flowing streams and rivers. If upstream drainage area is smaller than three square kilometers, then floodplain is assumed to be absent and flux is defined as zero. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>12</rdommax>\n <attrunit>kilograms of organic carbon per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) floodplain sediment-N flux (kg-N m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of floodplain sediment nitrogen flux rate, in units of kilograms of nitrogen per meter of stream channel length per year, censored to only make predictions for natural flowing streams and rivers. If upstream drainage area is smaller than three square kilometers, then floodplain is assumed to be absent and flux is defined as zero. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1</rdommax>\n <attrunit>kilograms of nitrogen per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) floodplain sediment-P flux (kg-P m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of floodplain sediment phosphorus flux rate, in units of kilograms of phosphorus per meter of stream channel length per year, censored to only make predictions for natural flowing streams and rivers. If upstream drainage area is smaller than three square kilometers, then floodplain is assumed to be absent and flux is defined as zero. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>kilograms of phosphorus per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) floodplain x-section accretion area (m2 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of floodplain cross-sectional accretion area change, in units of square meters per year, censored to only make predictions for natural flowing streams and rivers. If upstream drainage area is smaller than three square kilometers, then floodplain is assumed to be absent and flux is defined as zero. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>square meters of accretion change per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (W) streambank sediment flux (kg-sed m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank sediment flux rate, in units of kilograms of sediment per meter of stream channel length per year, censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-165.6</rdommin>\n <rdommax>-5.0</rdommax>\n <attrunit>kilograms of sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (W) streambank fine sediment flux (kg-finesed m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank fine sediment (less than 63 micron) flux rate, in units of kilograms of fine sediment per meter of stream channel length per year, censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-66.3</rdommin>\n <rdommax>-1.0</rdommax>\n <attrunit>kilograms of fine sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) streambank sediment-C flux (kg-C m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank sediment organic carbon flux rate, in units of kilograms of organic carbon per meter of stream channel length per year, censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-3.94</rdommin>\n <rdommax>-0.12</rdommax>\n <attrunit>kilograms of organic carbon per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) streambank sediment-N flux (kg-N m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank sediment nitrogen flux rate, in units of kilograms of nitrogen per meter of stream channel length per year, censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-0.312</rdommin>\n <rdommax>-0.008</rdommax>\n <attrunit>kilograms of nitrogen per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (W) streambank sediment-P flux (kg-P m-1 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank sediment phosphorus flux rate, in units of kilograms of phosphorus per meter of stream channel length per year, censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-0.1</rdommin>\n <rdommax>-0.004</rdommax>\n <attrunit>kilograms of phosphorus per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) streambank lateral erosion rate (cm yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank lateral erosion rate, in units centimeters per year, censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-4.23</rdommin>\n <rdommax>-0.48</rdommax>\n <attrunit>centimeters per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (W) streambank x-section erosion area (m2 yr-1)</attrlabl>\n <attrdef>Most accurate prediction of streambank cross-sectional lateral erosion area change, in units of square meters per year, censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-0.168</rdommin>\n <rdommax>-0.006</rdommax>\n <attrunit>square meters of erosion change per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best net sediment flux (kg-sed m-1 yr-1)</attrlabl>\n <attrdef>Stream net balance of sediment flux, calculated as the sum of the best censored floodplain and streambank fluxes within the reach, in units of kilograms of sediment per meter of stream channel length per year. Predicted flux is censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-131.9</rdommin>\n <rdommax>388.6</rdommax>\n <attrunit>kilograms of sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best net fine sediment flux (kg-finesed m-1 yr-1)</attrlabl>\n <attrdef>Stream net balance of fine sediment (less than 63 micron) flux, calculated as the sum of the best censored floodplain and streambank fluxes within the reach, in units of kilograms of fine sediment per meter of stream channel length per year. Predicted flux is censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-48.2</rdommin>\n <rdommax>124.0</rdommax>\n <attrunit>kilograms of fine sediment per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best net sediment-C flux (kg-C m-1 yr-1)</attrlabl>\n <attrdef>Stream net balance of sediment organic carbon flux, calculated as the sum of the best censored floodplain and streambank fluxes within the reach, in units of kilograms of organic carbon per meter of stream channel length per year. Predicted flux is censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-2.55</rdommin>\n <rdommax>11.81</rdommax>\n <attrunit>kilograms of organic carbon per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best net sediment-N flux (kg-N m-1 yr-1)</attrlabl>\n <attrdef>Stream net balance of sediment nitrogen flux, calculated as the sum of the best censored floodplain and streambank fluxes within the reach, in units of kilograms of nitrogen per meter of stream channel length per year. Predicted flux is censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-0.21600000000000003</rdommin>\n <rdommax>0.821</rdommax>\n <attrunit>kilograms of nitrogen per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best net sediment-P flux (kg-P m-1 yr-1)</attrlabl>\n <attrdef>Stream net balance of sediment phosphorus flux, calculated as the sum of the best censored floodplain and streambank fluxes within the reach, in units of kilograms of phosphorus per meter of stream channel length per year. Predicted flux is censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-0.065</rdommin>\n <rdommax>0.349</rdommax>\n <attrunit>kilograms of phosphorus per meter of stream per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best net x-section area change (m2 yr-1)</attrlabl>\n <attrdef>Stream net balance of cross-sectional area change, in units of square meters per year, calculated as the sum of the best censored floodplain and streambank area change rates within the reach. Predicted flux is censored to only make predictions for natural flowing streams and rivers. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-4.09</rdommin>\n <rdommax>-0.44</rdommax>\n <attrunit>square meters per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) streambed d50 (mm)</attrlabl>\n <attrdef>Most accurate prediction of median particle size (d50) of sediment on the surface of the streambed, in millimeters, censored to only make predictions for natural flowing streams and rivers.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>116.8</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (W) streambed fines cover (%)</attrlabl>\n <attrdef>Most accurate prediction of fine sediment cover on the surface of the streambed, in percentage, censored to only make predictions for natural flowing streams and rivers.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>39.9</rdommax>\n <attrunit>percentage</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (W) streambed fines+sands cover (%)</attrlabl>\n <attrdef>Most accurate prediction of fine plus sand sediment cover on the surface of the streambed, in percentage, censored to only make predictions for natural flowing streams and rivers.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.8</rdommin>\n <rdommax>80.4</rdommax>\n <attrunit>percentage</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) floodplain sediment load (Mg-sed yr-1)</attrlabl>\n <attrdef>Floodplain sediment load of the entire NHDPlusV2 stream reach, in units of megagrams of sediment per year, calculated as the product of censored best floodplain flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6202</rdommax>\n <attrunit>megagrams of sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) floodplain fine sediment load (Mg-finesed yr-1)</attrlabl>\n <attrdef>Floodplain fine sediment (less than 63 micron) load of the entire NHDPlusV2 stream reach, in units of megagrams of fine sediment per year, calculated as the product of censored best floodplain flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>2419</rdommax>\n <attrunit>megagrams of fine sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) floodplain sediment-C load (Mg-C yr-1)</attrlabl>\n <attrdef>Floodplain sediment organic carbon load of the entire NHDPlusV2 stream reach, in units of megagrams of organic carbon per year, calculated as the product of censored best floodplain flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>316</rdommax>\n <attrunit>megagrams of organic carbon per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) floodplain sediment-N load (kg-N yr-1)</attrlabl>\n <attrdef>Floodplain sediment nitrogen load of the entire NHDPlusV2 stream reach, in units of kilograms of nitrogen per year, calculated as the product of censored best floodplain flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>27938</rdommax>\n <attrunit>kilograms of nitrogen per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) floodplain sediment-P load (kg-P yr-1)</attrlabl>\n <attrdef>Floodplain sediment phosphorus load of the entire NHDPlusV2 stream reach, in units of kilograms of phosphorus per year, calculated as the product of censored best floodplain flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>7517</rdommax>\n <attrunit>kilograms of phosphorus per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (W) streambank sediment load (Mg-sed yr-1)</attrlabl>\n <attrdef>Streambank sediment load of the entire NHDPlusV2 stream reach, in units of megagrams of sediment per year, calculated as the product of censored best streambank flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-3268</rdommin>\n <rdommax>0</rdommax>\n <attrunit>megagrams of sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (W) streambank fine sediment load (Mg-finesed yr-1)</attrlabl>\n <attrdef>Streambank fine sediment (less than 63 micron) load of the entire NHDPlusV2 stream reach, in units of megagrams of fine sediment per year, calculated as the product of censored best streambank flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-1128</rdommin>\n <rdommax>0</rdommax>\n <attrunit>megagrams of fine sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) streambank sediment-C load (Mg-C yr-1)</attrlabl>\n <attrdef>Streambank sediment organic carbon load of the entire NHDPlusV2 stream reach, in units of megagrams of organic carbon per year, calculated as the product of censored best streambank flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-101</rdommin>\n <rdommax>0</rdommax>\n <attrunit>megagrams of organic carbon per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (F) streambank sediment-N load (kg-N yr-1)</attrlabl>\n <attrdef>Streambank sediment nitrogen load of the entire NHDPlusV2 stream reach, in units of kilograms of nitrogen per year, calculated as the product of censored best streambank flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-8046</rdommin>\n <rdommax>0</rdommax>\n <attrunit>kilograms of nitrogen per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best (W) streambank sediment-P load (kg-P yr-1)</attrlabl>\n <attrdef>Streambank sediment phosphorus load of the entire NHDPlusV2 stream reach, in units of kilograms of phosphorus per year, calculated as the product of censored best streambank flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-1785</rdommin>\n <rdommax>0</rdommax>\n <attrunit>kilograms of phosphorus per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best streambank sediment load proportion of total sediment erosion load</attrlabl>\n <attrdef>Streambank contribution to total sediment erosion load in the catchment. Calculated as the quotient of "Censored best (W) streambank sediment load (Mg-sed yr-1)" and ["Censored best (W) streambank sediment load (Mg-sed yr-1)" plus "Censored Residual sed load (Mg-sed/yr)"].</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>671672.7</rdommax>\n <attrunit>proportion</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best net sediment load (Mg-sed yr-1)</attrlabl>\n <attrdef>Net sediment load of the entire NHDPlusV2 stream reach, in units of megagrams of sediment per year, calculated as the product of censored best net balance flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-1019</rdommin>\n <rdommax>2934</rdommax>\n <attrunit>megagrams of sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best net fine sediment load (Mg-finesed yr-1)</attrlabl>\n <attrdef>Net fine sediment (less than 63 micron) load of the entire NHDPlusV2 stream reach, in units of megagrams of fine sediment per year, calculated as the product of censored best net balance flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-376</rdommin>\n <rdommax>1291</rdommax>\n <attrunit>megagrams of fine sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best net sediment-C load (Mg-C yr-1)</attrlabl>\n <attrdef>Net sediment organic carbon load of the entire NHDPlusV2 stream reach, in units of megagrams of organic carbon per year, calculated as the product of censored best net balance flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-8</rdommin>\n <rdommax>214</rdommax>\n <attrunit>megagrams of organic carbon per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best net sediment-N load (kg-N yr-1)</attrlabl>\n <attrdef>Net sediment nitrogen load of the entire NHDPlusV2 stream reach, in units of kilograms of nitrogen per year, calculated as the product of censored best net balance flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-678</rdommin>\n <rdommax>19892</rdommax>\n <attrunit>kilograms of nitrogen per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored best net sediment-P load (kg-P yr-1)</attrlabl>\n <attrdef>Net sediment phosphorus load of the entire NHDPlusV2 stream reach, in units of kilograms of phosphorus per year, calculated as the product of censored best net balance flux and stream length. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-211</rdommin>\n <rdommax>5731</rdommax>\n <attrunit>kilograms of phosphorus per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Downstream TN total load NE-SPARROW (kg-N yr-1)</attrlabl>\n <attrdef>Accumulated total nitrogen downstream load from the stream channel. Estimated from Ator (2019) Northeast SPARROW model. Units of kilograms of nitrogen per year.</attrdef>\n <attrdefs>https://doi.org/10.5066/P9NKNVQO</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>71848576</rdommax>\n <attrunit>kilograms of nitrogen per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Downstream TN catchment incremental load NE-SPARROW (kg-N yr-1)</attrlabl>\n <attrdef>Incremental (derived from the local NHD catchment) total nitrogen downstream load from the stream channel. Estimated by Ator (2019) Northeast SPARROW model. Units of kilograms of nitrogen per year.</attrdef>\n <attrdefs>https://doi.org/10.5066/P9NKNVQO</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>676777.4</rdommax>\n <attrunit>kilograms of nitrogen per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Downstream TP total load NE-SPARROW (kg-P yr-1)</attrlabl>\n <attrdef>Accumulated total phosphorus downstream load from the stream channel. Estimated from Ator (2019) Northeast SPARROW model. Units of kilograms of phosphorus per year.</attrdef>\n <attrdefs>https://doi.org/10.5066/P9NKNVQO</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>4801271.0</rdommax>\n <attrunit>kilograms of phosphorus per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Downstream TP catchment incremental load NE-SPARROW (kg-P yr-1)</attrlabl>\n <attrdef>Incremental (derived from the local NHD catchment) total phosphorus downstream load from the stream channel. Estimated by Ator (2019) Northeast SPARROW model. Units of kilograms of phosphorus per year.</attrdef>\n <attrdefs>https://doi.org/10.5066/P9NKNVQO</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>95880.04</rdommax>\n <attrunit>kilograms of phosphorus per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Downstream suspended sediment total load NE-SPARROW (Mg-sed yr-1)</attrlabl>\n <attrdef>Accumulated suspended sediment downstream load from the stream channel. Estimated from Ator (2019) Northeast SPARROW model. Units of megagrams of sediment per year.</attrdef>\n <attrdefs>https://doi.org/10.5066/P9NKNVQO</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>8136806.8</rdommax>\n <attrunit>megagrams of sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Downstream suspended sediment catchment incremental load NE-SPARROW (Mg-sed yr-1)</attrlabl>\n <attrdef>Incremental (derived from the local NHD catchment) suspended sediment downstream load from the stream channel. Estimated by Ator (2019) Northeast SPARROW model. Units of megagrams of sediment per year.</attrdef>\n <attrdefs>https://doi.org/10.5066/P9NKNVQO</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>142983.06</rdommax>\n <attrunit>megagrams of sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Downstream TN catchment incremental flux NE-SPARROW (kg-N m-1 yr-1)</attrlabl>\n <attrdef>Incremental (derived from the local NHD catchment) total nitrogen downstream flux from the stream channel. Estimated as "Downstream TN catchment incremental load NE-SPARROW (kg-N yr-1)" divided by NHD stream length. Units of kilograms of nitrogen per meter of stream channel length per year.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>2156.196</rdommax>\n <attrunit>kilograms of nitrogen per meter of stream length per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Downstream TP catchment incremental flux NE-SPARROW (kg-P m-1 yr-1)</attrlabl>\n <attrdef>Incremental (derived from the local NHD catchment) total phosphorus downstream flux from the stream channel. Estimated as "Downstream TP catchment incremental load NE-SPARROW (kg-P yr-1)" divided by NHD stream length. Units of kilograms of phosphorus per meter of stream channel length per year.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>185.6371</rdommax>\n <attrunit>kilograms of phosphorus per meter of stream length per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Downstream suspended sediment catchment incremental flux NE-SPARROW (kg-sed m-1 yr-1)</attrlabl>\n <attrdef>Incremental (derived from the local NHD catchment) suspended sediment downstream flux from the stream channel. Estimated as "Downstream suspended sediment catchment incremental load NE-SPARROW (Mg-sed yr-1)", converted to kilograms of sediment per year, divided by NHD stream length. Units of kilograms of suspended sediment per meter of stream channel length per year.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>407870.8</rdommax>\n <attrunit>kilograms of suspended sediment per meter of stream length per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Upland erosion sediment load RUSLE2 minimum (Mg-sed yr-1)</attrlabl>\n <attrdef>Sediment load from upland erosion in the NHD catchment, estimated by RUSLE2 minimum flux, in units of megagrams of sediment per year. Only modeled for the Chesapeake Bay watershed (Chesapeake Bay Program 2020).</attrdef>\n <attrdefs>https://cast.chesapeakebay.net/Documentation/ModelDocumentation</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No prediction</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>22480.9</rdommax>\n <attrunit>megagrams of sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Upland erosion sediment load RUSLE2 maximum (Mg-sed yr-1)</attrlabl>\n <attrdef>Sediment load from upland erosion in the NHD catchment, estimated by RUSLE2 maximum flux, in units of megagrams of sediment per year. Only modeled for the Chesapeake Bay watershed (Chesapeake Bay Program 2020).</attrdef>\n <attrdefs>https://cast.chesapeakebay.net/Documentation/ModelDocumentation</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No prediction</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>22509.1</rdommax>\n <attrunit>megagrams of sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Upland erosion sediment load delivered to streams RUSLE2-IC minimum (Mg-sed yr-1)</attrlabl>\n <attrdef>Sediment load from upland erosion in the NHD catchment, estimated by RUSLE2 minimum flux, that is delivered to the stream network in the catchment (calculated through an index of connectivity), in units of megagrams of sediment per year. Only modeled for the Chesapeake Bay watershed (Chesapeake Bay Program 2020).</attrdef>\n <attrdefs>https://cast.chesapeakebay.net/Documentation/ModelDocumentation</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No prediction</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>10942.3</rdommax>\n <attrunit>megagrams of sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Upland erosion sediment load delivered to streams RUSLE2-IC maximum (Mg-sed yr-1)</attrlabl>\n <attrdef>Sediment load from upland erosion in the NHD catchment, estimated by RUSLE2 maximum flux, that is delivered to the stream network in the catchment (calculated through an index of connectivity), in units of megagrams of sediment per year. Only modeled for the Chesapeake Bay watershed (Chesapeake Bay Program 2020).</attrdef>\n <attrdefs>https://cast.chesapeakebay.net/Documentation/ModelDocumentation</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No prediction</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>10956.1</rdommax>\n <attrunit>megagrams of sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored residual (no uplands terms) sediment load (Mg-sed yr-1)</attrlabl>\n <attrdef>Residual sediment load, assuming mass balance of a sediment budget, in units of megagrams of sediment per year. Calculated as (Residual + Floodplain + Streambank = -Stream Load). Estimates other sediment sources and sinks beyond streambanks and floodplains in necessary to generate the downstream stream load. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-103847.9</rdommin>\n <rdommax>280.6</rdommax>\n <attrunit>megagrams of sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored residual (no uplands terms) fine sediment load (Mg-finesed yr-1)</attrlabl>\n <attrdef>Residual fine sediment (less than 63 micron) load, assuming mass balance of a sediment budget, in units of megagrams of sediment per year. Calculated as (Residual + Floodplain + Streambank = -Stream Load). Estimates other sediment sources and sinks beyond streambanks and floodplains necessary to generate the downstream stream load. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-1293.83</rdommin>\n <rdommax>374.99</rdommax>\n <attrunit>megagrams of fine sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored residual (no uplands terms) sediment-N load (kg-N yr-1)</attrlabl>\n <attrdef>Residual nitrogen load, assuming mass balance of a nitrogen budget, in units of kilograms of nitrogen per year. Calculated as (Residual + Floodplain + Streambank = -Stream Load). Estimates other nitrogen sources and sinks beyond streambanks and floodplains necessary to generate the downstream stream load. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-677966.9</rdommin>\n <rdommax>182.9</rdommax>\n <attrunit>kilograms of nitrogen per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored residual (no uplands terms) sediment-P load (kg-P yr-1)</attrlabl>\n <attrdef>Residual phosphorus load, assuming mass balance of a phosphorus budget, in units of kilograms of phosphorus per year. Calculated as (Residual + Floodplain + Streambank = -Stream Load). Estimates other phosphorus sources and sinks beyond streambanks and floodplains necessary to generate the downstream stream load. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Reach is not a natural and free flowing stream or river and no prediction is made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-96011.1</rdommin>\n <rdommax>111.6</rdommax>\n <attrunit>kilograms of phosphorus per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Upland trapping sediment load (Mg-sed/yr)</attrlabl>\n <attrdef>Sediment load from upland erosion in the NHD catchment that is retained in the uplands prior to delivery to the stream network in the catchment, in units of megagrams of sediment per year. Only modeled for the Chesapeake Bay watershed (Chesapeake Bay Program 2020). Calculated as "Upland erosion sediment load RUSLE2 maximum (Mg-sed yr-1)" minus "Upland erosion sediment load delivered to streams RUSLE2-IC maximum (Mg-sed yr-1)".</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No prediction</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>11552.9</rdommax>\n <attrunit>megagrams of sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Censored residual (with uplands terms) sediment load (Mg-sed yr-1)</attrlabl>\n <attrdef>Residual sediment load, assuming mass balance of a sediment budget, in units of megagrams of sediment per year. Calculated as (Residual + Upland Delivery to Streams + Floodplain + Streambank = -Stream Load). Estimates other sediment sources and sinks beyond streambanks, floodplains, and upland erosion delivered to streams, necessary to generate the downstream stream load. Positive is retention/deposition, negative is export/erosion.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-103912.1</rdommin>\n <rdommax>267.6</rdommax>\n <attrunit>megagrams of sediment per year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P93OUWYZ</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200929</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Gregory Noe</cntper>\n <cntorg>U.S. Geological Survey, NORTHEAST REGION</cntorg>\n </cntperp>\n <cntpos>Research Ecologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 926A, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-5826</cntvoice>\n <cntfax>703-648-6953</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2021-04-22Start Date2016End Date2019
## Citation
Devendra, D., Pastick, N.J., Parajuli, S., and Wylie, B.K., 2021, Fractional estimates of exotic annual grass cover in dryland ecosystems of western United States (2016 – 2019): U.S. Geological Survey data release, https://doi.org/10.5066/P9XT1BV2.
## Summary
The dryland ecosystems of the western United States have been invaded by exotic annual grasses, such as cheatgrass (Bromus tectorum L.), that has promoted increased fire activity and reduced biodiversity detrimental to socio-environmental systems. The use of remote sensing tools to monitor exotic annual grass cover and dynamics over large areas can support early detection and rapid response initiatives. This dataset was generated using in situ observations from Bureau of Land Management's (BLM) Assessment, Inventory, and Monitoring data (AIM) plots, weekly composites of harmonized Landsat and Sentinel-2 (HLS) data, relevant environmental, vegetation, remotely sensed, and geophysical factors and machine learning techniques to develop \[...\]
## Summary
The dryland ecosystems of the western United States have been invaded by exotic annual grasses, such as cheatgrass (Bromus tectorum L.), that has promoted increased fire activity and reduced biodiversity detrimental to socio-environmental systems. The use of remote sensing tools to monitor exotic annual grass cover and dynamics over large areas can support early detection and rapid response initiatives. This dataset was generated using in situ observations from Bureau of Land Management's (BLM) Assessment, Inventory, and Monitoring data (AIM) plots, weekly composites of harmonized Landsat and Sentinel-2 (HLS) data, relevant environmental, vegetation, remotely sensed, and geophysical factors and machine learning techniques to develop fractional estimates of exotic annual grass cover at a 30-m spatial resolution for 2016 to 2019. A total of 10,906 AIM plots from years 2016 - 2019 were used to train an ensemble of regression tree models (n=5). Besides cheatgrass (Bromus tectorum), other species such as Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonicus, Bromus mardritensis L.,Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc., Taeniatherum caput-medusae were included in the study. The geographic coverage includes rangelands in the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas.
## Contacts
Point of Contact
:
[Bruce K Wylie](/catalog/catalogParty/show?partyId=11505)
Process Contact
:
[Bruce K Wylie](/catalog/catalogParty/show?partyId=11505)
Originator
:
[Devendra Dahal](/catalog/catalogParty/show?partyId=14949),
[Neal J Pastick](/catalog/catalogParty/show?partyId=22698),
[Sujan Parajuli](/catalog/catalogParty/show?partyId=76831),
[Bruce K Wylie](/catalog/catalogParty/show?partyId=11505)
Metadata Contact
:
[Sujan Parajuli](/catalog/catalogParty/show?partyId=76831)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Core Science Systems](/catalog/catalogParty/show?partyId=Core+Science+Systems)
SDC Data Owner
:
[Earthquake Science Center](/catalog/catalogParty/show?partyId=17470)
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| | | | |
| --- | --- | --- | --- |
| Fractional estimates of exotic annual grass cover in dryland ecosystems of western United States 2016-2019.xml<br>_Original FGDC Metadata_ | View | 23.55 KB | application/fgdc+xml |
| Confidence map of grass cover in the western US 2018.zip | | 234.84 MB | application/zip |
| Confidence map of grass cover in the western US 2019.zip | | 255.96 MB | application/zip |
| Confidence map of grass cover in the western US 2016.zip | | 251.85 MB | application/zip |
| Confidence map of grass cover in the western US 2017.zip | | 254.57 MB | application/zip |
| Annual estimate of grass cover in the western US 2018.zip | | 448.85 MB | application/zip |
| Annual estimate of grass cover in the western US 2019.zip | | 465.55 MB | application/zip |
| Annual estimate of grass cover in the western US 2016.zip | | 475.11 MB | application/zip |
| Annual estimate of grass cover in the western US 2017.zip | | 483.48 MB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Pastick, N.J., Dahal, D., Wylie, B.K., Parajuli, S., Boyte, S.P., and Wu, Z., 2020, Characterizing Land Surface Phenology and Exotic Annual Grasses in Dryland Ecosystems Using Landsat and Sentinel-2 Data in Harmony: Remote Sensing, v. 12, no. 4, p. 725, https://doi.org/10.3390/rs12040725. | [https://doi.org/10.3390/rs12040725](https://doi.org/10.3390/rs12040725 "https://doi.org/10.3390/rs12040725") |
## Purpose
The goal of this research is to develop an exotic annual grass mapping system that leverages in situ observations, remotely sensed datasets, and data mining techniques for mapping exotic annual grass (%) cover (30-m spatial resolution) throughout drylands ecosystems in the western United States. Appropriate use of the data should be defined by the user; however, this data comes with caveats: First, these estimates should be viewed as relative abundances. Second, comparing this dataset to similar datasets with different spatial resolutions or different dates can lead to substantial differences between mapped values.
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## Tags
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Theme
- [Remote Sensing](/catalog/items?q=&filter=tags%3DRemote+Sensing "Remote Sensing (Remote Sensing, Theme, None)")
- [annual grass](/catalog/items?q=&filter=tags%3Dannual+grass "annual grass (annual grass, Theme, None)")
- [annual herbaceous](/catalog/items?q=&filter=tags%3Dannual+herbaceous "annual herbaceous (annual herbaceous, Theme, None)")
- [biota](/catalog/items?q=&filter=tags%3Dbiota "biota (biota, Theme, ISO 19115 Topic Category)")
- [biota](/catalog/items?q=&filter=tags%3Dbiota "biota (biota, Theme, None)")
- [cheatgrass](/catalog/items?q=&filter=tags%3Dcheatgrass "cheatgrass (cheatgrass, Theme, None)")
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- [invasive species](/catalog/items?q=&filter=tags%3Dinvasive+species "invasive species (invasive species, Theme, None)")
- [rangeland ecosystems](/catalog/items?q=&filter=tags%3Drangeland+ecosystems "rangeland ecosystems (rangeland ecosystems, Theme, None)")
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- [California](/catalog/items?q=&filter=tags%3DCalifornia "California (California, Place, None)")
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- [Washington](/catalog/items?q=&filter=tags%3DWashington "Washington (Washington, Place, None)")
- [Western United States](/catalog/items?q=&filter=tags%3DWestern+United+States "Western United States (Western United States, Place, None)")
- [Wyoming](/catalog/items?q=&filter=tags%3DWyoming "Wyoming (Wyoming, Place, None)")
USGS Scientific Topic Keyword
- [Land Use Change](/catalog/items?q=&filter=tags%3DLand+Use+Change "Land Use Change (Land Use Change, USGS Scientific Topic Keyword, )")
## Provenance
Data release was made private hours after going public. Author will need to update some information on abstract and metadata info before the release can go public.
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9XT1BV2 |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Devendra Dahal</origin>\n <origin>Neal J Pastick</origin>\n <origin>Sujan Parajuli</origin>\n <origin>Bruce K Wylie</origin>\n <pubdate>20210422</pubdate>\n <title>Fractional estimates of exotic annual grass cover in dryland ecosystems of western United States (2016 \xe2\x80\x93 2019).</title>\n <geoform>raster digital data</geoform>\n <onlink>https://doi.org/10.5066/P9XT1BV2</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Neal J. Pastick</origin>\n <origin>Devendra Dahal</origin>\n <origin>Bruce K. Wylie</origin>\n <origin>Sujan Parajuli</origin>\n <origin>Stephen P. Boyte</origin>\n <origin>Zhouting Wu</origin>\n <pubdate>20200222</pubdate>\n <title>Characterizing Land Surface Phenology and Exotic Annual Grasses in Dryland Ecosystems Using Landsat and Sentinel-2 Data in Harmony</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Remote Sensing</sername>\n <issue>vol. 12, issue 4</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>MDPI AG</publish>\n </pubinfo>\n <othercit>ppg. 725</othercit>\n <onlink>https://doi.org/10.3390/rs12040725</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The dryland ecosystems of the western United States have been invaded by exotic annual grasses, such as cheatgrass (Bromus tectorum L.), that has promoted increased fire activity and reduced biodiversity detrimental to socio-environmental systems. The use of remote sensing tools to monitor exotic annual grass cover and dynamics over large areas can support early detection and rapid response initiatives. This dataset was generated using in situ observations from Bureau of Land Management's (BLM) Assessment, Inventory, and Monitoring data (AIM) plots, weekly composites of harmonized Landsat and Sentinel-2 (HLS) data, relevant environmental, vegetation, remotely sensed, and geophysical factors and machine learning techniques to develop fractional estimates of exotic annual grass cover at a 30-m spatial resolution for 2016 to 2019. \nA total of 10,906 AIM plots from years 2016 - 2019 were used to train an ensemble of regression tree models (n=5). Besides cheatgrass (Bromus tectorum), other species such as Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonicus, Bromus mardritensis L.,Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc., Taeniatherum caput-medusae were included in the study. The geographic coverage includes rangelands in the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas.</abstract>\n <purpose>The goal of this research is to develop an exotic annual grass mapping system that leverages in situ observations, remotely sensed datasets, and data mining techniques for mapping exotic annual grass (%) cover (30-m spatial resolution) throughout drylands ecosystems in the western United States. Appropriate use of the data should be defined by the user; however, this data comes with caveats: First, these estimates should be viewed as relative abundances. Second, comparing this dataset to similar datasets with different spatial resolutions or different dates can lead to substantial differences between mapped values.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2016</begdate>\n <enddate>2019</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-126.0168</westbc>\n <eastbc>-103.5897</eastbc>\n <northbc>49.9572</northbc>\n <southbc>34.5596</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>imageryBaseMapsEarthCover</themekey>\n <themekey>biota</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>biota</themekey>\n <themekey>rangeland ecosystems</themekey>\n <themekey>cheatgrass</themekey>\n <themekey>invasive species</themekey>\n <themekey>Remote Sensing</themekey>\n <themekey>annual grass</themekey>\n <themekey>annual herbaceous</themekey>\n <themekey>exotic</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5edfe54382ce7e579c7088f4</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Western United States</placekey>\n <placekey>California</placekey>\n <placekey>Colorado</placekey>\n <placekey>Idaho</placekey>\n <placekey>Montana</placekey>\n <placekey>Nevada</placekey>\n <placekey>Oregon</placekey>\n <placekey>Utah</placekey>\n <placekey>Washington</placekey>\n <placekey>Wyoming</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Bruce K Wylie</cntper>\n <cntorg>U.S. Geological Survey, LAND RESOURCES</cntorg>\n </cntperp>\n <cntpos>RESEARCH PHYSICAL SCIENTIST</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>47914 252Nd Street</address>\n <city>Sioux Falls</city>\n <state>SD</state>\n <postal>57198</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>605-594-6078</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <native>Both Windows and Linux High Performance Computing (HPC) operating system were used for creating the data. \n\nGeospatial softwares, namely ArcGIS (ArcMap version 10.5),See5/C5.0 (version 2.07, https://rulequest.com/see5-info.html),Cubist (version 2.07, https://rulequest.com/cubist-info.html ), Geospatial Data Abstraction Library (GDAL version 2.4.2, https://gdal.org/download.html ), and anaconda Python( version 3.6, https://www.anaconda.com/distribution/) were used to produce this dataset.\n\nFile name are:\nAnnual estimate of grass cover in the western US 2016.tif\nAnnual estimate of grass cover in the western US 2017.tif\nAnnual estimate of grass cover in the western US 2018.tif\nAnnual estimate of grass cover in the western US 2019.tif\nConfidence map of grass cover in the western US 2016.tif\nConfidence map of grass cover in the western US 2017.tif\nConfidence map of grass cover in the western US 2018.tif\nConfidence map of grass cover in the western US 2019.tif\nData size is 2.82 GB for all four years Annual Herbaceous Map.</native>\n <crossref>\n <citeinfo>\n <origin>Neal Pastick</origin>\n <origin>Bruce Wylie</origin>\n <origin>Zhuoting Wu</origin>\n <pubdate>20180519</pubdate>\n <title>Spatiotemporal Analysis of Landsat-8 and Sentinel-2 Data to Support Monitoring of Dry land Ecosystems</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Remote Sensing</sername>\n <issue>vol. 10, issue 5</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>MDPI AG</publish>\n </pubinfo>\n <othercit>page. 791</othercit>\n <onlink>https://doi.org/10.3390/rs10050791</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Comparison of observed and mapped AIM (training) values (mean absolute error (mae) = 9.62 \xc2\xb10.23, r=0.79\xc2\xb10.01) indicates good agreement between the two. A comparison of mapped to independent samples (test) accuracy values (mae =11.32\xc2\xb10.41 percent cover, r= 0.67\xc2\xb10.02) are slightly lower but still strong enough to have confidence in the mapped values.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>D.B. Gesch, G.A. Evans, M.J. Oimoen, M.J. Arundel</origin>\n <pubdate>2018</pubdate>\n <title>The National Elevation Dataset</title>\n <geoform>raster digital data</geoform>\n <othercit>Gesch, D.B., Evans, G.A., Oimoen, M.J., Arundel, S., 2018. The National Elevation Dataset. American Society for Photogrammetry and Remote Sensing, pp. 83\xe2\x80\x93110</othercit>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2018</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>See Supplemental Info</srccurr>\n </srctime>\n <srccitea>NED</srccitea>\n <srccontr>Used as input parameter in the model.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Nathaniel W. Chaney</origin>\n <origin>Eric F. Wood</origin>\n <origin>Alexander B. McBratney</origin>\n <origin>Jonathan W. Hempel</origin>\n <origin>Travis W. Nauman</origin>\n <origin>Colby W. Brungard</origin>\n <origin>Nathan P. Odgers</origin>\n <pubdate>201607</pubdate>\n <title>POLARIS: A 30-meter probabilistic soil series map of the contiguous United States</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Geoderma</sername>\n <issue>vol. 274</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Elsevier BV</publish>\n </pubinfo>\n <othercit>ppg. 54-67</othercit>\n <onlink>https://doi.org/10.1016/j.geoderma.2016.03.025</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2016</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>POLARIS</srccitea>\n <srccontr>Input variable to RT model</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Field observations of exotic annual grass cover (2016 \xe2\x80\x93 2019) were made by the BLM AIM (https://aim.landscapetoolbox.org/). \n\nWe summarized multiple-hit observations of exotic annual grass cover at each field plot in Terrestrial AIM Database (TerrADat) and Landscape Monitoring Framework (LMF) databases. Our definition of exotic annual grasses includes invasive annual Bromus and Medusahead (see above). \n\nEdaphic (e.g. POLARIS soil texture fraction, organic matter content, and available water capacity in the first 30 cm of the soil), topographical (National Elevation Dataset [NED; Gesch et al. 2018]), and weekly Normalized Difference Vegetation Index (NDVI) data, as predicted with a regression tree model using Harmonized Landsat and Sentinel-2 (HLS), were extracted at each field site. Spectral data were extracted coincident with the timing of the field observations because exotic annual grass cover can vary substantially from year to year based on local weather and site conditions.\n\nThese data were divided into five random subsets. An ensemble of five regression tree models were then developed and optimized using cross-validation, while withholding a different one of the unique randomized subsets for testing each iteration. Regression tree models were constructed using an open-source version (GNU) of Cubist software and relevant environmental covariates as determined using tree-based feature selection algorithms and importance weights in sequential models (boosting or committee models).\n\nThe regression tree models were optimized using a grid search method and were then used to predict exotic fractional grass cover for each of the five permutations. This yielded both a median estimate and per-pixel mean of the median absolute differences of prediction consistency of exotic annual grass cover at 30 m resolution for the study area.\n\nThe final exotic annual grass cover map distributed here represent the median of the five predicted maps and per-pixel mean of the median absolute differences from all model iterations of these five maps which serves as an estimate of confidence.</procdesc>\n <procdate>20200605</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Bruce K Wylie</cntper>\n <cntorg>U.S. Geological Survey, LAND RESOURCES</cntorg>\n </cntperp>\n <cntpos>RESEARCH PHYSICAL SCIENTIST</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>47914 252Nd Street</address>\n <city>Sioux Falls</city>\n <state>SD</state>\n <postal>57198</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>605-594-6078</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Raster</direct>\n <rastinfo>\n <rasttype>Grid Cell</rasttype>\n <rowcount>48285</rowcount>\n <colcount>52920</colcount>\n <vrtcount>1</vrtcount>\n </rastinfo>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Albers Conical Equal Area</mapprojn>\n <albers>\n <stdparll>29.5</stdparll>\n <stdparll>45.5</stdparll>\n <longcm>-96.0</longcm>\n <latprjo>23.0</latprjo>\n <feast>0.0</feast>\n <fnorth>0.0</fnorth>\n </albers>\n </mapproj>\n <planci>\n <plance>row and column</plance>\n <coordrep>\n <absres>30.0</absres>\n <ordres>30.0</ordres>\n </coordrep>\n <plandu>meters</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>North_American_Datum_1983</horizdn>\n <ellips>GRS 1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.2572221010042</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Annual estimate of grass cover in the western US 2016.tif</enttypl>\n <enttypd>This raster geospatial data represents annual herbaceous average cheatgrass median percentage for the year 2016.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Unique numeric values contained in each raster cell.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>255</edomv>\n <edomvd>255</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>Percentage</attrunit>\n <attrmres>30</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Annual estimate of grass cover in the western US 2017.tif</enttypl>\n <enttypd>This raster geospatial data represents annual herbaceous average cheatgrass median percentage for the year 2017.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Unique numeric values contained in each raster cell.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>255</edomv>\n <edomvd>255</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>Percentage</attrunit>\n <attrmres>30</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Annual estimate of grass cover in the western US 2018.tif</enttypl>\n <enttypd>This raster geospatial data represents annual herbaceous average cheatgrass median percentage for the year 2018.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Unique numeric values contained in each raster cell.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>255</edomv>\n <edomvd>255</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>Percentage</attrunit>\n <attrmres>30</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Annual estimate of grass cover in the western US 2019.tif</enttypl>\n <enttypd>This raster geospatial data represents annual herbaceous average cheatgrass median percentage for the year 2019.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Unique numeric values contained in each raster cell.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>255</edomv>\n <edomvd>255</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>Percentage</attrunit>\n <attrmres>30</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Confidence map of grass cover in the western US 2016.tif</enttypl>\n <enttypd>This raster geospatial data represents confidence of the percent cover of annual herbaceous cheatgrass map for the year 2016.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Unique numeric values contained in each raster cell.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Confidence map of grass cover in the western US 2017.tif</enttypl>\n <enttypd>This raster geospatial data represents confidence of the percent cover of annual herbaceous cheatgrass map for the year 2017.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Unique numeric values contained in each raster cell.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Confidence map of grass cover in the western US 2018.tif</enttypl>\n <enttypd>This raster geospatial data represents confidence of the percent cover of annual herbaceous cheatgrass map for the year 2018.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Unique numeric values contained in each raster cell.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Confidence map of grass cover in the western US 2019.tif</enttypl>\n <enttypd>This raster geospatial data represents confidence of the percent cover of annual herbaceous cheatgrass map for the year 2019.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Unique numeric values contained in each raster cell.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9XT1BV2</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20210422</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Sujan Parajuli</cntper>\n <cntorg>U.S. Geological Survey, LAND RESOURCES</cntorg>\n </cntperp>\n <cntpos>Scientist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>47914 252Nd Street</address>\n <city>Sioux Falls</city>\n <state>SD</state>\n <postal>57198</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>605-594-2756</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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## Dates
Publication Date2020-03-11Start Date2009End Date2018
## Citation
Downs, D.T., 2020, Database for the geologic map of the Paeroa Fault block and surrounding area, Taupo Volcanic Zone, New Zealand: U.S. Geological Survey data release, https://doi.org/10.5066/P9DYBBGX.
## Summary
The Taupo Volcanic Zone (TVZ), New Zealand, is the most productive area of explosive silicic volcanism in the world. Faulted early and middle Pleistocene volcanic products are generally concealed beneath voluminous, generally unfaulted, younger volcanic products. An exception is the southeast margin of the TVZ where the two parallel, northeast-trending Paeroa and Te Weta Fault blocks expose Quaternary volcanic products consisting predominantly of caldera-related, rhyolitic ignimbrites and lacustrine sediments. The Taupo-Reporoa Basin is situated along the eastern part of the map area, and its northernmost part underwent collapse to form Reporoa Caldera. The Paeroa Fault block is the largest exposed fault block within the TVZ, and it \[...\]
## Summary
The Taupo Volcanic Zone (TVZ), New Zealand, is the most productive area of explosive silicic volcanism in the world. Faulted early and middle Pleistocene volcanic products are generally concealed beneath voluminous, generally unfaulted, younger volcanic products. An exception is the southeast margin of the TVZ where the two parallel, northeast-trending Paeroa and Te Weta Fault blocks expose Quaternary volcanic products consisting predominantly of caldera-related, rhyolitic ignimbrites and lacustrine sediments. The Taupo-Reporoa Basin is situated along the eastern part of the map area, and its northernmost part underwent collapse to form Reporoa Caldera. The Paeroa Fault block is the largest exposed fault block within the TVZ, and it encompasses early and middle Pleistocene ignimbrites and sedimentary deposits that are buried throughout the Taupo-Reporoa Basin to the east. This map displays the volcanic and sedimentary geology of ~430 km2 of the Paeroa Fault block and the adjacent Te Weta Fault block at a scale of 1:50,000. Volcanic and sedimentary rocks are divided into the Reporoa Group, Whakamaru Group, and Huka Group (from oldest to youngest), which are overlain by relatively unfaulted late Pleistocene and Holocene surficial volcanic and sedimentary deposits.
**This geologic map database is accompanied by a report, which includes the formatted geologic map and explanatory text, available at https://doi.org/10.3133/ofr20201021.**
_The authors ask that users of the geologic map database cite both the database and the report:_
**Report:** Downs, D.T., Leonard, G.S., Wilson, C.J.N., and Rowland, J.V., 2020, Geologic map of the Paeroa Fault block and surrounding area, Taupo Volcanic Zone, New Zealand: U.S. Geological Survey Open-File Report 2020-1021, https://doi.org/10.3133/ofr20201021.
**Database:** Downs, D.T., 2020, Database for the geologic map of the Paeroa Fault block and surrounding area, Taupo Volcanic Zone, New Zealand: U.S. Geological Survey data release, https://doi.org/10.5066/P9DYBBGX.
## Contacts
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[Drew T Downs](/catalog/catalogParty/show?partyId=67013)
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:
[Drew T Downs](/catalog/catalogParty/show?partyId=67013)
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:
[Drew T Downs](/catalog/catalogParty/show?partyId=67013)
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:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
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[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
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[Volcano Science Center](/catalog/catalogParty/show?partyId=17471)
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[Natural Hazards](/catalog/catalogParty/show?partyId=Natural+Hazards)
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| --- | --- | --- | --- |
| OFR 2020-1021 Data Release.xml<br>_Original FGDC Metadata_ | View | 14.52 KB | application/fgdc+xml |
| OFR2020-1021\_Geodatabase.zip | | 2.18 MB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Downs, D.T., Leonard, G.S., Wilson, C.J.N., and Rowland, J.V., 2020, Geologic map of the Paeroa Fault block and surrounding area, Taupo Volcanic Zone, New Zealand: U.S. Geological Survey Open-File Report 2020-1021 | [https://doi.org/10.3133/ofr20201021](https://doi.org/10.3133/ofr20201021 "https://doi.org/10.3133/ofr20201021") |
## Purpose
Mapping was undertaken of the Paeroa Fault block and surrounding area to gain knowledge of the Quaternary eruptive history of this central portion of the Taupo Volcanic Zone, New Zealand. The features of primary interest within the map area are caldera-related, rhyolitic ignimbrites of middle Pleisotcene age, as well as rhyolitic lava domes, minor dacite, andesite, and basalt eruptives, and alluvium and lacustrine sediments.
## [Map](/catalog/item/imap/5e69240ce4b01d50925cec6d)
[](/catalog/item/imap/5e69240ce4b01d50925cec6d)
## Communities
- USGS Data Release Products
## Tags
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
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- [caldera](/catalog/items?q=&filter=tags%3Dcaldera "caldera (caldera, Theme, Lithologic classification of geologic map units)")
- [dacite](/catalog/items?q=&filter=tags%3Ddacite "dacite (dacite, Theme, Lithologic classification of geologic map units)")
- [dome](/catalog/items?q=&filter=tags%3Ddome "dome (dome, Theme, Lithologic classification of geologic map units)")
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- [Taupo Volcanic Zone](/catalog/items?q=&filter=tags%3DTaupo+Volcanic+Zone "Taupo Volcanic Zone (Taupo Volcanic Zone, Place, Common geographic areas)")
USGS Scientific Topic Keyword
- [Volcanology](/catalog/items?q=&filter=tags%3DVolcanology "Volcanology (Volcanology, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9DYBBGX |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Downs, Drew T.</origin>\n <pubdate>20200311</pubdate>\n <title>Database for the geologic map of the Paeroa Fault block and surrounding area, Taupo Volcanic Zone, New Zealand</title>\n <geoform>Vector Digital Data Set (Polyline)</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9DYBBGX</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Downs, Drew T.</origin>\n <origin>Leonard, Graham S.</origin>\n <origin>Wilson, Colin J.N.</origin>\n <origin>Rowland, Julie V.</origin>\n <pubdate>2020</pubdate>\n <title>Geologic map of the Paeroa Fault block and surrounding area, Taupo Volcanic Zone, New Zealand</title>\n <geoform>Open-File Report 2020-1021</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/ofr20201021</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The Taupo Volcanic Zone (TVZ), New Zealand, is the most productive area of explosive silicic volcanism in the world. Faulted early and middle Pleistocene volcanic products are generally concealed beneath voluminous, generally unfaulted, younger volcanic products. An exception is the southeast margin of the TVZ where the two parallel, northeast-trending Paeroa and Te Weta Fault blocks expose Quaternary volcanic products consisting predominantly of caldera-related, rhyolitic ignimbrites and lacustrine sediments. The Taupo-Reporoa Basin is situated along the eastern part of the map area, and its northernmost part underwent collapse to form Reporoa Caldera. The Paeroa Fault block is the largest exposed fault block within the TVZ, and it encompasses early and middle Pleistocene ignimbrites and sedimentary deposits that are buried throughout the Taupo-Reporoa Basin to the east. This map displays the volcanic and sedimentary geology of ~430 km2 of the Paeroa Fault block and the adjacent Te Weta Fault block at a scale of 1:50,000. Volcanic and sedimentary rocks are divided into the Reporoa Group, Whakamaru Group, and Huka Group (from oldest to youngest), which are overlain by relatively unfaulted late Pleistocene and Holocene surficial volcanic and sedimentary deposits.</abstract>\n <purpose>Mapping was undertaken of the Paeroa Fault block and surrounding area to gain knowledge of the Quaternary eruptive history of this central portion of the Taupo Volcanic Zone, New Zealand. The features of primary interest within the map area are caldera-related, rhyolitic ignimbrites of middle Pleisotcene age, as well as rhyolitic lava domes, minor dacite, andesite, and basalt eruptives, and alluvium and lacustrine sediments.</purpose>\n <supplinf>This database contains geodatabase feature classes describing geologic lines and polygons, faults, caldera boundaries, roads, streams, and contour lines for the topographic base. This metadata file provides an overview for all of these files. For more detailed metadata, please see the metadata provided with each individual geodatabase file.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2009</begdate>\n <enddate>2018</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>176.086864</westbc>\n <eastbc>176.380041</eastbc>\n <northbc>-38.305075</northbc>\n <southbc>-38.526163</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>volcanism</themekey>\n <themekey>geology</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>geoscientificInformation</themekey>\n </theme>\n <theme>\n <themekt>Lithologic classification of geologic map units</themekt>\n <themekey>rhyolite</themekey>\n <themekey>basalt</themekey>\n <themekey>andesite</themekey>\n <themekey>dacite</themekey>\n <themekey>ignimbrite</themekey>\n <themekey>dome</themekey>\n <themekey>caldera</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5e69240ce4b01d50925cec6d</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>New Zealand</placekey>\n <placekey>North Island</placekey>\n <placekey>Taupo Volcanic Zone</placekey>\n </place>\n <temporal>\n <tempkt>Time Periods</tempkt>\n <tempkey>Quaternary</tempkey>\n <tempkey>late Pleistocene</tempkey>\n <tempkey>middle Pleistocene</tempkey>\n <tempkey>early Pleistocene</tempkey>\n <tempkey>Holocene</tempkey>\n </temporal>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Drew T. Downs</cntper>\n <cntorg>ALASKA REGION: VOLCANO SCIENCE CENTER</cntorg>\n </cntperp>\n <cntpos>Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>345 Middlefield Road, Mail Stop 910</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>650-329-4113</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>Polygon and arc (chain-node) topology present in appropriate feature classes. Other feature classes are point or annotation and do not require topologic relationships.</logic>\n <complete>The report is intended to describe completely the igneous and volcanic products, and sedimentary deposits at 1:50,000 scale. Geological information appropriately mapped at larger scale has been omitted.</complete>\n <posacc>\n <horizpa>\n <horizpar>The position of each feature in the database is derived from contours on a topographic base from Land Information New Zealand or with a GPS. The positional accuracy of each feature is indicated quantitatively within the LocationConfidenceMeters field in the attribute table. In general, features in the database are well located.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>Vertical position is derived from contours on a topographic base from Land Information New Zealand.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Geologic field notes and rock samples were collected as GPS locations in field notebooks by Drew T. Downs, Graham S. Leonard, Colin J.N. Wilson, and Julie V. Rowland. Drew Downs used the field notes and rock descriptions to create geologic feature classes in relations to contours, lakes, streams, and roads from Land Information New Zealand. Geologic information migrated to a modified GeMS geologic map database schema, and database checking and confirmation performed.</procdesc>\n <procdate>2018</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Vector</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <gridsys>\n <gridsysn>Universal Transverse Mercator</gridsysn>\n <utm>\n <utmzone>60</utmzone>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>177.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000.0</feast>\n <fnorth>1.0E7</fnorth>\n </transmer>\n </utm>\n </gridsys>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.6096</absres>\n <ordres>0.6096</ordres>\n </coordrep>\n <plandu>METERS</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D_WGS_1984</horizdn>\n <ellips>WGS_1984</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257223563</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <overview>\n <eaover>The metadata file was written to provide an overview for the complete database in geodatabase format. If you are accessing the shapefile version of this geodatabase, they are derived from geodatabase feature classes and may contain abbreviated or shortened field names. The database contains two feature datasets: GeologicMap and TopographicBase. The GeologicMap feature dataset contains the spatial geologic data in feature classes. The TopographicBase feature dataset contains the spatial contour data in feature classes. Below is an attribute overview for the features found in the GeologicMap and TopographicBase feature datasets. All feature classes contain other fields similar to those specified by the GeMS database schema, even if they are not commonly used in the GeMS database schema. There are four line feature classes included in the dataset: ContactsAndFaults, Contours, Transportation, and Waterways. The ContactsAndFaults feature class contains the locations of the geologic contacts, faults, caldera, and water boundaries. The Type field contains the designations for each, and IsConcealed, ExistenceConfidence, IdentityConfidence, and LocationConfidenceMeters fields contain whether the object is concealed, how well the authors know of the lines existence and can recognize the line, and how well the authors can locate the line. The Contours feature class contains the locations and elevations of contour lines. The elevation field contains the elevation in meters above sea level. The Type field indicates whether the contour designation is an index contour or an intermediate contour. The Transportation feature class contains the roads and highway in the area. These types are stored in the Type field and the name of the highway is stored in the Label field. The Waterways feature class contains the streams in the area. These types are stored in the Type field. Three polygon feature classes are included in this dataset: MapUnitPolys, MapUnitOverlayPolys, and ContourAnnotationMask. The MapUnitPolys contains the boundaries for geologic units. Geologic unit identifier for each polygon is stored in the MapUnit field, and IdentityConfidence describes how well the authors can identify the map unit at this location. These MapUnit can be joined or related to geologic names and descriptions by using the MapUnit field in the DescriptionOfMapUnits table contained in this database. The MapUnitOverlayPolys feature class contains polygons outlining the different sedimentary deposits found in the surficial deposits group. How well the authors recognize these deposits is stored in the IdentityConfidence field. These feature classes also contain other fields specified by the GeMS database schema. The ContourAnnotationMask feature class is only used to create a mask so that the ContoursAnnotations labels can be clearly read and are not directly overlaying the contour lines. This feature class is not in the GeMS schema. Four tables are included in this database: DataSources, DescriptionOfMapUnits, GeoMaterialDict and Glossary. The DataSources table contains the references used in the creation of this map. The DataSourcesID is the foreign key to the DataSources_ID field in all other tables. The DescriptionOfMapUnits table contains the complete geologic unit name, age, and description for each of the geologic unit symbol on the map in the MapUnit, Name, Age, and Description fields. The GeoMaterialDict table provides definitions and a hierarchy for GeoMaterial names prescribed by the GeMS database schema. The Glossary table provides definitions in the Definition field for the terms used in the database. These tables also contain other fields specified by the GeMS database schema. This database also contains two annotation feature classes: MapAnnotations and the previously mentioned ContoursAnnotations. These feature classes contain geographic names, geologic unit symbols, transportation, and contour elevation labels. All fields defined by ESRI's annotation feature class schema.</eaover>\n <eadetcit>The entity and attribute information was generated by the authors. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>This database has been approved for release and publication by the Director of the U.S. Geological Survey (USGS). Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the United States Government may be held liable for any damages resulting from its authorized or unauthorized use.</distliab>\n <techpreq>Digital Data</techpreq>\n </distinfo>\n <metainfo>\n <metd>20200831</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Drew T. Downs</cntper>\n <cntorg>ALASKA REGION: VOLCANO SCIENCE CENTER</cntorg>\n </cntperp>\n <cntpos>Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>345 Middlefield Road, Mail Stop 910</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>650-329-4113</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Earthquake catalogs compiled for the USGS National Seismic Hazard Models](/catalog/item/59e62f3ce4b05fe04cd1cc48)
4. [Earthquake catalogs for the western U.S.](/catalog/item/5a5e5219e4b06e28e9be4945)
5. [1b. Master earthquake catalog for the western U.S., for use outside the UCERF3 zone (Catalog B)](/catalog/folder/5b180f06e4b092d96521998b)
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## Dates
Publication Date2018-07-20Start Date1769-07-28End Date2016-12-31
## Citation
Mueller, C.S., 2018, Earthquake catalogs compiled for the USGS National Seismic Hazard Models: US Geological Survey data release, https://doi.org/10.5066/F7P26X4R.
## Summary
In processing step 1, preexisting catalogs found online or in the literature are collected and merged. Each entry is reformatted to a standard record that lists basic earthquake information (moment magnitude, hypocenter, origin time), three parameters for modeling seismicity rates, and a comment field that lists the original catalog and size measure. Two distinct WUS catalogs are produced in step 1 to facilitate integrating California seismicity with the rest of the WUS. The Uniform California Earthquake Rupture Forecast (UCERF3) project developed a catalog for a region extending about 100km beyond the California border. Catalog B is constructed for the whole WUS with the intention of using only its part outside the UCERF3 zone in \[...\]
## Summary
In processing step 1, preexisting catalogs found online or in the literature are collected and merged. Each entry is reformatted to a standard record that lists basic earthquake information (moment magnitude, hypocenter, origin time), three parameters for modeling seismicity rates, and a comment field that lists the original catalog and size measure. Two distinct WUS catalogs are produced in step 1 to facilitate integrating California seismicity with the rest of the WUS. The Uniform California Earthquake Rupture Forecast (UCERF3) project developed a catalog for a region extending about 100km beyond the California border. Catalog B is constructed for the whole WUS with the intention of using only its part outside the UCERF3 zone in the final catalog, so it does not include the UCERF3 catalog.
This catalog lists all records from all input catalogs, including duplicates, with a common format. All natural earthquakes and non-tectonic events are included.
## Contacts
Contact
:
[Charles S Mueller](/catalog/catalogParty/show?partyId=7258)
Originator
:
[Charles S Mueller](/catalog/catalogParty/show?partyId=7258)
Metadata Contact
:
[Kenneth S Rukstales](/catalog/catalogParty/show?partyId=8876)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
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| wmm\_rw.c1.xml<br>_Original FGDC Metadata_ | View | 13.05 KB | application/fgdc+xml |
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## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Mueller, C.S., 2018, Earthquake Catalogs for the USGS National Seismic Hazard Maps: Seismological Research Letters | [https://doi.org/10.1785/0220170108](https://doi.org/10.1785/0220170108 "https://doi.org/10.1785/0220170108") |
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## Communities
- USGS Data Release Products
## Provenance
Data sourceInput directly
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Mueller, Charles S.</origin>\n <pubdate>2018</pubdate>\n <title>Master earthquake catalog for the western U.S., for use outside the UCERF3 zone (Catalog B)</title>\n <geoform>fixed format text file</geoform>\n <othercit>Text files and supporting metadata can be downloaded from:\nhttps://doi.org/10.5066/F7P26X4R</othercit>\n <onlink>https://doi.org/10.5066/F7P26X4R</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Mueller, Charles S.</origin>\n <pubdate>2018</pubdate>\n <title>Earthquake Catalogs for the USGS National Seismic Hazard Maps</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Seismological Research Letters</sername>\n <issue>Volume XX, Number YY, ZZ p.</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Albany, CA</pubplace>\n <publish>Seismological Society of America</publish>\n </pubinfo>\n <onlink>https://doi.org/10.1785/0220170108</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>A methodology has been developed at the U.S. Geological Survey (USGS) for making earthquake catalogs for seismic hazard analysis. A new catalog is assembled from several preexisting catalogs. Uniform moment magnitudes and related parameters for estimating unbiased seismicity rates are calculated. Duplicates, explosions, mining-related earthquakes, and induced earthquakes are flagged, and the catalog is declustered. Distinct catalogs are made for the central and eastern U.S. and the western U.S. This data set is the master earthquake catalog for the western U.S., for use outside the UCERF3 zone (Catalog B)</abstract>\n <purpose>These data are a compilation of several earthquake source catalogs that are reformatted to a standardized record that lists basic information about each earthquake. This catalog (Catalog B) is constructed for the whole western U.S. with the intention of using only its part outside the UCERF3 zone in the final catalog, so it does not include the UCERF3 catalog.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>17690728</begdate>\n <enddate>20161231</enddate>\n </rngdates>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-128.000</westbc>\n <eastbc>-96.270</eastbc>\n <northbc>51.911</northbc>\n <southbc>22.020</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>none</themekt>\n <themekey>Seismic</themekey>\n <themekey>Earthquake</themekey>\n <themekey>Hazard</themekey>\n <themekey>Induced</themekey>\n <themekey>Natural</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5b180f06e4b092d96521998b</themekey>\n </theme>\n <place>\n <placekt>http://geonames.usgs.gov/</placekt>\n <placekey>Arizona</placekey>\n <placekey>California</placekey>\n <placekey>Colorado</placekey>\n <placekey>Idaho</placekey>\n <placekey>Montana</placekey>\n <placekey>Nevada</placekey>\n <placekey>New Mexico</placekey>\n <placekey>Oklahoma</placekey>\n <placekey>Oregon</placekey>\n <placekey>Texas</placekey>\n <placekey>Utah</placekey>\n <placekey>Washington</placekey>\n <placekey>Wyoming</placekey>\n <placekey>USA</placekey>\n <placekey>United States</placekey>\n </place>\n </keywords>\n <accconst>None</accconst>\n <useconst>Acknowledgment of the U.S. Geological Survey, National Seismic Hazard Mapping Project would be appreciated in products derived from these data.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Charles S. Mueller</cntper>\n <cntorg>U.S. Geological Survey - Geologic Hazards Science Center</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Box 25046, MS 966</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>303-273-8559</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <native>Microsoft Windows 7</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>The following report provides detailed information on quality assessment for the data, as well as additional sub-catalogs derived from this master catalog:\nMueller, C.S., 2018, Earthquake catalogs for the USGS National Seismic Hazard Maps: Seismological Research Letters, Volume XX, Number YY, ZZp., https://doi.org/10.1785/0220170108.</attraccr>\n </attracc>\n <logic>Because this is a compilation of many source catalogs, duplicate events from differing source catalogs exist.</logic>\n <complete>Data are complete. No features were generalized. All features are attributed.</complete>\n <posacc>\n <horizpa>\n <horizpar>No features have been relocated from the original source catalog.</horizpar>\n </horizpa>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>The Uniform California Earthquake Rupture Forecast (UCERF3) project developed a catalog for a region extending about 100km beyond the California border. Catalog B is constructed for the whole western U.S. with the intention of using only its part outside the UCERF3 zone in the final catalog. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Each source-catalog entry is reformatted to a standard record that lists basic information (magnitude, hypocenter, origin time), three parameters for computing seismicity rates, and a comment field. For most earthquakes, source catalogs do not list moment magnitude, Mw. Consistent rules are applied to estimate Mw from other size measures, and the original measure is listed in the comment field. For some well-recorded earthquakes, Mw is derived from analysis of seismic waveforms. Computed seismicity rates may be biased if magnitudes: 1) follow an exponential distribution, and 2) are measured or estimated with uncertainty. For each earthquake we compute a uniform moment magnitude, Mwe (often, but not always, equal to Mw), and a counting factor, N*, that is a function of the magnitude uncertainty and the b value in the recurrence distribution. When earthquakes with Mwe greater than or equal to some mc are counted by N* (instead of unity), one gets the unbiased rate of mc+ earthquakes. Magnitude uncertainty is specified by sigma_m, the standard deviation of the magnitude error, taken from source catalogs or publications, or estimated based on the magnitude type and the era of the earthquake, taking into account greater uncertainties for older earthquakes. The catalog from this step lists all records from all source catalogs, including duplicates (from overlapping source catalogs), with a common format. All natural earthquakes and non-tectonic events are included.</procdesc>\n <procdate>2017</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Vector</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>Point</sdtstype>\n <ptvctcnt>96475</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.0005</latres>\n <longres>0.0005</longres>\n <geogunit>Decimal Degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>D WGS 1984</horizdn>\n <ellips>WGS 1984</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257223563</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>wmm_rw.c1</enttypl>\n <enttypd>Master earthquake catalog for the western U.S., for use outside the UCERF3 zone (Catalog B)</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <overview>\n <eaover>The first line of the catalog is a header line listing all of the fields in the catalog\nRecords for two earthquakes illustrate the catalog format:\n>\n4.55 -65.630 49.440 15 1967 09 30 22 39 48. 0.240 4.55 1.165 NCE|mn,4.7\n5.65 -77.930 37.940 6 2011 08 23 17 51 05. 0.100 5.63 1.027 SLU|wo,5.65\n>\n123456789012345678901234567890123456789012345678901234567890123456\n>\nField 1 lists Mw, fields 2 and 3 list longitude and latitude, and field 4 lists depth (km). Fields 5-10 list origin time (year, month, day, hour, minute, second; UTC). Fields 11-13 list sigma_m, Mwe, and N*. The comment field (of arbitrary length) begins in column 66. The Mw in field 1 is the most natural or widely accepted value (in our judgment), whereas Mwe for rate calculations is listed in field 12. For the 1967 earthquake, MNuttli ("mn,4.7") is converted to Mw = Mwe = 4.55. For the 2011 (Mineral, Virginia) earthquake, Mw = 5.65 is estimated from analysis of waveforms, and adjusted to Mwe = 5.63. Two characters after "|" in the comment field denote the type or treatment of the original size measure.</eaover>\n <eadetcit>Mueller, C.S., 2018, Earthquake Catalogs for the USGS National Seismic Hazard Maps: Seismological Research Letters, Volume X, Number Y, ZZ p., https://doi.org/10.1785/0220170108.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Lakewood</city>\n <state>CO</state>\n <postal>80215</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <resdesc>Downloadable fixed format data file in ASCII text format.</resdesc>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>fixed format text file</formname>\n <formvern>1.0</formvern>\n <formspec>fixed format text file</formspec>\n <formcont>Master earthquake catalog for the western U.S., for use outside the UCERF3 zone (Catalog B)</formcont>\n <filedec>Files may need to be decompressed using winzip or similar utility</filedec>\n <transize>2.9</transize>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7P26X4R</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>none</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200818</metd>\n <metc>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - Geologic Hazards Science Center</cntorg>\n <cntper>Ken Rukstales</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Box 25046, MS 966</address>\n <city>Lakewood</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>303-273-8677</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standards for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <mettc>local time</mettc>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Nebraska Water Science Center](/catalog/item/5bd8d921e4b0b3fc5cea24ef)
3. [Flood-inundation geospatial datasets for the North Platte River at Scottsbluff and Gering, Nebraska](/catalog/folder/5bb7c619e4b0fc368e940f16)
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## Dates
Publication Date2019-12-19Time Period2018-10
## Citation
Strauch, K.R., 2019, Flood-inundation geospatial datasets for the North Platte River at Scottsbluff and Gering, Nebraska: U.S. Geological Survey data release, https://doi.org/10.5066/P9NCAIKN.
## Summary
Digital flood-inundation maps for an 8.8-mile reach of the North Platte River, from 1.5 miles upstream of the Highway 92 bridge to 3 miles downstream of the Highway 71 bridge, were created by the U.S. Geological Survey (USGS) in cooperation with the Cities of Scottsbluff and Gering. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at http://water.usgs.gov/osw/flood\_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Platte River at Scottsbluff, Nebr. (station 06680500). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information \[...\]
## Summary
Digital flood-inundation maps for an 8.8-mile reach of the North Platte River, from 1.5 miles upstream of the Highway 92 bridge to 3 miles downstream of the Highway 71 bridge, were created by the U.S. Geological Survey (USGS) in cooperation with the Cities of Scottsbluff and Gering. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at http://water.usgs.gov/osw/flood\_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Platte River at Scottsbluff, Nebr. (station 06680500). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at https://doi.org/10.5066/F7P55KJN or from the National Weather Service Advanced Hydrologic Prediction Service (site SBRN1) at https://water.weather.gov/ahps2/. Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the current (2018) stage-discharge relation at the Platte River at Scottsbluff, Nebr., streamgage. The hydraulic model was then used to compute 10 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 9 ft, or near bankfull, to 18 ft, which exceeds the stage that corresponds to the estimated 1-percent annual exceedance probability flood (100-year recurrence interval flood). The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model derived from light detection and ranging data having a 0.6-ft root mean square error and 2-ft horizontal resolution resampled to a 6-ft grid to delineate the area flooded at each water level. The availability of these maps, along with internet information regarding current stage from the USGS streamgage will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post flood recovery efforts.
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## Contacts
Point of Contact
:
[Kellan R Strauch](/catalog/catalogParty/show?partyId=10022)
Originator
:
[Kellan R Strauch](/catalog/catalogParty/show?partyId=10022)
Metadata Contact
:
[Kellan R Strauch](/catalog/catalogParty/show?partyId=10022)
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:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
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[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
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:
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:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
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| ScbfNE\_FGDC\_geospatial\_data\_sets.xml<br>_Original FGDC Metadata_ | View | 18.47 KB | application/fgdc+xml |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Strauch, K.R., 2019, Flood-inundation maps for the North Platte River at Scottsbluff and Gering, Nebraska, 2018: U.S. Geological Survey Scientific Investigations Report 2019–5099, 9 p., https://doi.org/10.3133/sir20195099. | [https://doi.org/10.3133/sir20195099](https://doi.org/10.3133/sir20195099 "https://doi.org/10.3133/sir20195099") |
## Purpose
This dataset was created to support the development of flood-inundation maps for a reach of the North Platte River at Scottsbluff, Nebraska
## [Map](/catalog/item/imap/5bb7c619e4b0fc368e940f16)
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## Communities
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## Tags
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Theme
- [flood-inundation maps](/catalog/items?q=&filter=tags%3Dflood-inundation+maps "flood-inundation maps (flood-inundation maps, Theme, None)")
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- [floods](/catalog/items?q=&filter=tags%3Dfloods "floods (floods, Theme, USGS Thesaurus)")
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- [river](/catalog/items?q=&filter=tags%3Driver "river (river, Theme, Marine Realms Information Bank (MRIB) keywords)")
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Place
- [City of Gering](/catalog/items?q=&filter=tags%3DCity+of+Gering "City of Gering (City of Gering, Place, None)")
- [City of Scottsbluff](/catalog/items?q=&filter=tags%3DCity+of+Scottsbluff "City of Scottsbluff (City of Scottsbluff, Place, None)")
- [Nebraska](/catalog/items?q=&filter=tags%3DNebraska "Nebraska (Nebraska, Place, Common geographic areas)")
- [North Platte River](/catalog/items?q=&filter=tags%3DNorth+Platte+River "North Platte River (North Platte River, Place, None)")
- [Scotts Bluff](/catalog/items?q=&filter=tags%3DScotts+Bluff "Scotts Bluff (Scotts Bluff, Place, Common geographic areas)")
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- [United States](/catalog/items?q=&filter=tags%3DUnited+States "United States (United States, Place, Common geographic areas)")
USGS Scientific Topic Keyword
- [Water Resources](/catalog/items?q=&filter=tags%3DWater+Resources "Water Resources (Water Resources, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9NCAIKN |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Strauch, K.R.</origin>\n <pubdate>20191219</pubdate>\n <title>Flood-inundation geospatial datasets for the North Platte River at Scottsbluff and Gering, Nebraska</title>\n <geoform>Vector Digital Data Set (Polygon)</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9NCAIKN</onlink>\n <lworkcit>\n <citeinfo>\n <origin>US Geological Survey, Nebraska Water Science Center</origin>\n <pubdate>2019</pubdate>\n <title>Flood-Inundation Maps for the North Platte River at Scottsbluff and Gering, Nebraska, 2018</title>\n <geoform>document</geoform>\n <serinfo>\n <sername>Scientific Investigations Report</sername>\n <issue>2019-5099</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Strauch, K.R., 2019, Flood-Inundation Maps for the North Platte River at Scottsbluff and Gering, Nebraska 2018: U.S. Geological Survey Scientific Investigations Report 2019-5099, 9 p., https://doi.org/10.3133/sir20195099.</othercit>\n <onlink>https://doi.org/10.3133/sir20195099</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Digital flood-inundation maps for an 8.8-mile reach of the North Platte River, from 1.5 miles upstream of the Highway 92 bridge to 3 miles downstream of the Highway 71 bridge, were created by the U.S. Geological Survey (USGS) in cooperation with the Cities of Scottsbluff and Gering. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Platte River at Scottsbluff, Nebr. (station 06680500). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at https://doi.org/10.5066/F7P55KJN or from the National Weather Service Advanced Hydrologic Prediction Service (site SBRN1) at https://water.weather.gov/ahps2/. \nFlood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the current (2018) stage-discharge relation at the Platte River at Scottsbluff, Nebr., streamgage.\nThe hydraulic model was then used to compute 10 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 9 ft, or near bankfull, to 18 ft, which exceeds the stage that corresponds to the estimated 1-percent annual exceedance probability flood (100-year recurrence interval flood). \nThe simulated water-surface profiles were then combined with a Geographic Information System digital elevation model derived from light detection and ranging data having a 0.6-ft root mean square error and 2-ft horizontal resolution resampled to a 6-ft grid to delineate the area flooded at each water level.\nThe availability of these maps, along with internet information regarding current stage from the USGS streamgage will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post flood recovery efforts.</abstract>\n <purpose>This dataset was created to support the development of flood-inundation maps for a reach of the North Platte River at Scottsbluff, Nebraska</purpose>\n <supplinf>Flood-inundation maps were created for USGS streamgage 06680500, North Platte River at Scottsbluff, Nebraska. The maps were created in a GIS by combining the water-surface profiles and digital elevation model data. The digital elevation model (DEM) data were derived from light detection and ranging data (lidar) data that were collected during November, 2011 by Fugro Horizons Inc., Houston, Texas. The original lidar data have horizontal resolution of 4.5 ft and vertical accuracy of 1.18 ft at a 95 percent confidence level for the \xe2\x80\x9copen terrain\xe2\x80\x9d land-cover category (root mean squared error of 0.6 ft). Estimated flood-inundation boundaries for each simulated profile were developed with HEC-GeoRAS software. HEC-GeoRAS is a set of procedures, tools, and utilities for processing geospatial data in ArcGIS by using a graphical user interface. The interface allows the preparation of geometric data for import into HEC-RAS and processes simulation results exported from HEC-RAS. USGS personnel then modified the HEC-GeoRAS results to ensure a hydraulically reasonable transition of the boundary between modeled cross sections relative to the contour data for the land surface. The maps show estimated flood-inundated areas for each of the water-surface profiles that were generated by the hydraulic model. For more information on data processing and checking procedures, see the full report at https://doi.org/10.3133/sir20195099. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the dataset in nonproprietary form, this metadata file may include some ArcGIS-specific terminology.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>201810</caldate>\n </sngdate>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-103.735087877</westbc>\n <eastbc>-103.596892587</eastbc>\n <northbc>41.886538112</northbc>\n <southbc>41.822314186</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>floods</themekey>\n <themekey>hydrology</themekey>\n <themekey>maps and atlases</themekey>\n <themekey>streamflow</themekey>\n <themekey>geospatial analysis</themekey>\n <themekey>geospatial datasets</themekey>\n <themekey>hydraulic engineering</themekey>\n </theme>\n <theme>\n <themekt>Marine Realms Information Bank (MRIB) keywords</themekt>\n <themekey>river</themekey>\n <themekey>stream</themekey>\n <themekey>floodplain</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>Alexandria Digital Library Feature Type Thesaurus</themekt>\n <themekey>floodplains</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>flood-inundation maps</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5bb7c619e4b0fc368e940f16</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>Scottsbluff</placekey>\n <placekey>Nebraska</placekey>\n <placekey>United States</placekey>\n <placekey>Scotts Bluff</placekey>\n </place>\n <place>\n <placekt>None</placekt>\n <placekey>City of Gering</placekey>\n <placekey>City of Scottsbluff</placekey>\n <placekey>North Platte River</placekey>\n </place>\n </keywords>\n <accconst>None. This dataset is provided by USGS as a public service. Users of this geospatial database and geologic information derived there from should acknowledge the U.S. Geological Survey as the source of the data.</accconst>\n <useconst>Users must assume responsibility to determine the appropriate use of this data. Users should be aware of the limitations of this dataset if using for critical application.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Kellan R Strauch</cntper>\n <cntorg>U.S. Geological Survey Nebraska Water Science Center</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>5231 South 19Th Street</address>\n <city>Lincoln</city>\n <state>NE</state>\n <postal>68512</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>402-328-4100</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <native>Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1 (Build 7333) Service Pack N/A (Build N/A)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Attributes for water-surface elevation were input from the HEC-RAS model output data table. Flow input data for the HEC-RAS model were obtained from the current stage-discharge relation (USGS rating no. 1) at the USGS streamgage 06680500North Platte River at Scottsbluff, Nebraska.</attraccr>\n </attracc>\n <logic>There are no unclosed polygons or intersections without nodes.</logic>\n <complete>This dataset is complete; there are no planned revisions or updates at this time.</complete>\n <posacc>\n <horizpa>\n <horizpar>Used cross-section data points from surveyed data, accurate to the datum of the survey.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>Used cross-section data points from surveyed data, accurate to the datum of the survey. Vertical accuracy is limited to the accuracy of the input Lidar DEM dataset.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Furgo Horizones Inc.</origin>\n <pubdate>20120731</pubdate>\n <title>2011 USACE LIDAR North Platte River</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Unpublished</pubplace>\n <publish>Unpublished</publish>\n </pubinfo>\n <onlink>https://dnr.nebraska.gov/data/elevation-data</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20111111</begdate>\n <enddate>20111112</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>LIDAR_NPlatte_2011</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>A GIS application was used to produce a plane representing the flood-peak water surface. The application duplicates the water-surface-elevation data from cross-section points of the hydraulic model across the flood plain perpendicular to the direction of the flood flow. Elevations between water-surface points on the cross-sections are proportional interpolations of the water-surface-elevation data and were positioned to generate a flood surface sloping with the water flow. A raster surface was created with the data points using a spline interpolation method, forming the estimated flood surface. A flood-depth grid was made by subtracting the DEM from the flood surface raster.</procdesc>\n <procdate>20181003</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Vector</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>G-polygon</sdtstype>\n <ptvctcnt>10</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>WGS 1984 Web Mercator Auxiliary Sphere (ESRI Full Name: WGS_1984_Web_Mercator_Auxiliary_Sphere)</mapprojn>\n <mercator>\n <stdparll>0.0</stdparll>\n <longcm>0.0</longcm>\n <feast>0.0</feast>\n <fnorth>0.0</fnorth>\n </mercator>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.6096</absres>\n <ordres>0.6096</ordres>\n </coordrep>\n <plandu>Meter</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D_WGS_1984</horizdn>\n <ellips>WGS_1984</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257223563</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Attribute Table</enttypl>\n <enttypd>Table containing attribute information associated with the data set.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>STAGE</attrlabl>\n <attrdef>USGS gage height associated with the flood-extent polygon, in feet</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>9</rdommin>\n <rdommax>18</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ELEV</attrlabl>\n <attrdef>NAVD88 elevation that correlates with the stage, in feet</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3872.32</rdommin>\n <rdommax>3881.32</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>USGSID</attrlabl>\n <attrdef>USGS station ID number</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>06680500</edomv>\n <edomvd>USGS station ID number for North Platte River at Scottsbluff, Nebraska streamgage</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GRIDID</attrlabl>\n <attrdef>Sequential ID number for matching with depth grids</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>9</rdommin>\n <rdommax>18</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>QCFS</attrlabl>\n <attrdef>Discharge that correlates with the stage, in cubic feet per second</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2760</rdommin>\n <rdommax>25300</rdommax>\n <attrunit>cubic feet per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey - ScienceBase</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>This database has been approved for release and publication by the Director of the USGS. Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the United States Government may be held liable for any damages resulting from its authorized or unauthorized use. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items for other than personal use must be secured from the copyright owner. This coverage may be redistributed if it is not edited and is properly referenced.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Vector Digital Data Set (Polygon)</formname>\n <formvern>ArcGIS 10.2</formvern>\n <formspec>Vector Digital Data Set (Polygon)</formspec>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9NCAIKN</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200824</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Kellan R Strauch</cntper>\n <cntorg>U.S. Geological Survey, Midcontinent Region, Nebraska Water Science Center</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>5231 South 19Th Street</address>\n <city>Lincoln</city>\n <state>NE</state>\n <postal>68512</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>402-328-4100</cntvoice>\n <cntfax>402-328-4101</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [National Water-Quality Assessment Project](/catalog/item/5522f784e4b027f0aee3d0c3)
3. [Groundwater Studies](/catalog/item/57c637cfe4b0f2f0cebdac6d)
4. [Groundwater Assessment & Mapping](/catalog/item/57d1e299e4b0571647cfd4ab)
5. [Data for Groundwater Age and Susceptibility of Poorly Consolidated Sedimentary Aquifers of the United States Gulf Coast: Results from the Southeast Coastal Plain (SECP), Coastal Lowland (CLOW), Mississippi Embayment and Texas Coastal Upland (METX) Principal Aquifer Networks](/catalog/folder/5b6c5a53e4b006a11f7ba25c)
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## Dates
Publication Date2019-05-17Start Date2013-05-30End Date2016-01-27
## Citation
Solder, J.E., 2019, Data for Groundwater Age and Susceptibility of Poorly Consolidated Sedimentary Aquifers of the United States Gulf Coast: Results from the Southeast Coastal Plain (SECP), Coastal Lowland (CLOW), Mississippi Embayment and Texas Coastal Upland (METX) Principal Aquifer Networks: U.S. Geological Survey data release, https://doi.org/10.5066/F7W37TC7.
## Summary
This data release documents eight Microsoft Excel tables; four which contain data for understanding groundwater ages in the South East Coastal Plain (SECP), Coastal Lowlands (CLOW) and Mississippi Embayment and Texas Coastal Uplands (METX) aquifer systems and four that describe the data fields. Results described include dissolved gas modeling results, environmental tracer concentrations (tritium, tritiogenic helium-3, sulfur hexafluoride, and radiogenic helium-4), mean age and age distribution, and carbon-14 geochmical modeling results Dissolved gas modeling results (DGmodel) contains detailed information on the calibration of dissolved gas models to dissolved gas concentrations (neon, argon, krypton, xenon, and nitrogen). Calibration \[...\]
## Summary
This data release documents eight Microsoft Excel tables; four which contain data for understanding groundwater ages in the South East Coastal Plain (SECP), Coastal Lowlands (CLOW) and Mississippi Embayment and Texas Coastal Uplands (METX) aquifer systems and four that describe the data fields. Results described include dissolved gas modeling results, environmental tracer concentrations (tritium, tritiogenic helium-3, sulfur hexafluoride, and radiogenic helium-4), mean age and age distribution, and carbon-14 geochmical modeling results
Dissolved gas modeling results (DGmodel) contains detailed information on the calibration of dissolved gas models to dissolved gas concentrations (neon, argon, krypton, xenon, and nitrogen). Calibration was done using methods described by Aeschbach-Hertig and others (1999) with modifications to include nitrogen gas (Weiss 1970). In most cases, a single set of noble gas data (neon, argon, krypton, and xenon) were used to determine recharge conditions (recharge temperature, excess air or entrapped air, fractionation). In cases where noble gas data were not available, multiple analyses of nitrogen and argon (collected sequentially on the same sample date) were used to determine recharge conditions.
Environmental tracer results (Tracers) contain detailed information on calculations of environmental tracer data. Dissolved gas models were paired with sulfur hexafluoride and helium isotopes (3He/4He) and helium to determine concentrations of tritiogenic helium-3 (from decay of tritium; Solomon and Cook, 2000) and radiogenic helium-4 (from decay of uranium and thorium in aquifer materials; Solomon, 2000). Multiple tracer concentrations were computed when sites had multiple dissolved gas model results and analyses for sulfur hexafluoride or helium isotopes.
Mean age and age distribution results (TracerLPM) contain final models of groundwater age by calibration of lumped parameter models to tracer concentrations (Jurgens and others, 2012). In cases where age was modeled with a binary lumped parameter model (BMM), the mean age was computed from the mean age and fraction of the two components in the mixture. Additional results for select sites, identified with a “-1” or “-2” suffix to USGS Station ID, detail the estimated range corrected 14C activity and groundwater mean age as a result of uncertainty in 14C geochemical correction. Please see the processing steps below and the main manuscript for additional details on the results presented in this table.
Carbon-14 geochmical modeling results (Carbon14) contain input paramters and final gechmical models of carbon-14. Please see the processing steps below and the main manuscript for additional details on the results presented in this table.
Aeschbach-Hertig, W., Peeters, F., Beyerle, U., and Kipfer, R., 1999, Interpretation of dissolved atmospheric noble gases in natural waters: Water Resources Research, v. 35, no. 9, p. 2,779–2,792, doi: 10.1029/1999WR900130.
Jurgens, B.C., Böhlke, J.K., and Eberts, S.M., 2012, TracerLPM (Version 1): An Excel® workbook for interpreting groundwater age distributions from environmental tracer data: U.S. Geological Survey Techniques and Methods Report 4-F3, p. 60, doi:10.3133/tm4F3
Solomon, D.K., 2000, 4He in groundwater, chap. 14 _of_ Cook, P.G., and Herczeg A.L., eds., Environmental tracers in subsurface hydrology: Boston, Kluwer Academic Publishers, p. 425–440. doi:10.1007/978-1-4615-4557-6\_4.
Solomon, D.K., and Cook, P.G., 2000, 3H and 3He, chap. 13 _of_ Cook, P.G., and Herczeg A.L., eds., Environmental tracers in subsurface hydrology: Boston, Kluwer Academic Publishers, p. 397–424. doi:10.1007/978-1-4615-4557-6\_4.
Weiss, R.F., 1970, The solubility of nitrogen, oxygen and argon in water and seawater: Deep Sea Research and Oceanographic Abstracts, v. 17, n. 4., p. 721-735, doi:10.1016/0011-7471(70)90037-9.
... show more ...
## Contacts
Point of Contact
:
[John E Solder](/catalog/catalogParty/show?partyId=59762)
Originator
:
[John E Solder](/catalog/catalogParty/show?partyId=59762)
Metadata Contact
:
[Jennifer B Sharpe](/catalog/catalogParty/show?partyId=9358)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=64247)
SDC Data Owner
:
[Office of Planning and Programming](/catalog/catalogParty/show?partyId=77214)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5b6c5a53e4b006a11f7ba25c?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5b6c5a53e4b006a11f7ba25c?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5b6c5a53e4b006a11f7ba25c?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| SouthAtlantic\_GulfCoast\_GroundwaterTracersAge\_DR\_Metadata.xml<br>“Metadata”<br>_Original FGDC Metadata_ | View | 52.74 KB | application/fgdc+xml |
| SouthAtlantic\_GulfCoast\_GroundwaterTracersAge\_DR.zip<br>“Data Tables and Metadata” | | 1.1 MB | application/zip |
## Purpose
Dissolved gas and environmental tracer data were collected from drinking-water wells that withdraw water from the SECP, CLOW and METX aquifer systems in 2013 to understand the age and vulnerability of the aquifer to natural and anthropogenic contaminants.
## [Map](/catalog/item/imap/5b6c5a53e4b006a11f7ba25c)
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## Communities
- National Water-Quality Assessment Project
- USGS Data Release Products
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [Cycle 3](/catalog/items?q=&filter=tags%3DCycle+3 "Cycle 3 (Cycle 3, Theme, None)")
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- [Lumped parameter modeling](/catalog/items?q=&filter=tags%3DLumped+parameter+modeling "Lumped parameter modeling (Lumped parameter modeling, Theme, None)")
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- [Coastal Lowlands (CLOW)](/catalog/items?q=&filter=tags%3DCoastal+Lowlands+%28CLOW%29 "Coastal Lowlands (CLOW) (Coastal Lowlands (CLOW), Place, None)")
- [Florida](/catalog/items?q=&filter=tags%3DFlorida "Florida (Florida, Place, Geographic Names Information System (GNIS))")
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- [South East Coastal Plain (SECP)](/catalog/items?q=&filter=tags%3DSouth+East+Coastal+Plain+%28SECP%29 "South East Coastal Plain (SECP) (South East Coastal Plain (SECP), Place, None)")
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USGS Scientific Topic Keyword
- [Water Quality](/catalog/items?q=&filter=tags%3DWater+Quality "Water Quality (Water Quality, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7W37TC7 |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>John E. Solder</origin>\n <pubdate>2019</pubdate>\n <title>Data for Groundwater age and susceptibility of south Atlantic and Gulf Coast principal aquifer of the contiguous United States</title>\n <geoform>spreadsheet</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Solder, J.E., 2018, Data for Groundwater Age and Susceptibility of south Atlantic and Gulf Coast principal aquifer of the contiguous United States: U.S. Geological Survey data release, https://doi.org/10.5072/S924M8R1.</othercit>\n <onlink>https://doi.org/10.5066/F7W37TC7</onlink>\n <lworkcit>\n <citeinfo>\n <origin>John E. Solder</origin>\n <pubdate>2019</pubdate>\n <title>Groundwater age and susceptibility of south Atlantic and Gulf Coast principal aquifer of the contiguous United States</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Scientific Investigations Report</sername>\n <issue>--</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Solder, J.E., Groundwater age and susceptibility of south Atlantic and Gulf Coast principal aquifer of the contiguous United States: U.S. Geological Survey Scientific Investigations Report (in review).</othercit>\n <onlink>--</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This data release documents eight Microsoft Excel tables; four which contain data for understanding groundwater ages in the South East Coastal Plain (SECP), Coastal Lowlands (CLOW) and Mississippi Embayment and Texas Coastal Uplands (METX) aquifer systems and four that describe the data fields. Results described include dissolved gas modeling results, environmental tracer concentrations (tritium, tritiogenic helium-3, sulfur hexafluoride, and radiogenic helium-4), mean age and age distribution, and carbon-14 geochemical model input and results. \n\nDissolved gas modeling results (DGmodel) contains detailed information on the calibration of dissolved gas models to dissolved gas concentrations (neon, argon, krypton, xenon, and nitrogen). Calibration was done using methods described by Aeschbach-Hertig and others (1999) with modifications to include nitrogen gas (Weiss 1970). In most cases, a single set of noble gas data (neon, argon, krypton, and xenon) were used to determine recharge conditions (recharge temperature, excess air or entrapped air, fractionation). In cases where noble gas data were not available, multiple analyses of nitrogen and argon (collected sequentially on the same sample date) were used to determine recharge conditions. \n\nEnvironmental tracer results (Tracers) contain detailed information on calculations of environmental tracer data. Dissolved gas models were paired with sulfur hexafluoride and helium isotopes (3He/4He) and helium to determine concentrations of tritiogenic helium-3 (from decay of tritium; Solomon and Cook, 2000) and radiogenic helium-4 (from decay of uranium and thorium in aquifer materials; Solomon, 2000). Multiple tracer concentrations were computed when sites had multiple dissolved gas model results and analyses for sulfur hexafluoride or helium isotopes.\n\nMean age and age distribution results (TracerLPM) contain final models of groundwater age by calibration of lumped parameter models to tracer concentrations (Jurgens and others, 2012). In cases where age was modeled with a binary lumped parameter model (BMM), the mean age was computed from the mean age and fraction of the two components in the mixture. Additional results for select sites, identified with a \xe2\x80\x9c-1\xe2\x80\x9d or \xe2\x80\x9c-2\xe2\x80\x9d suffix to USGS Station ID, detail the estimated range corrected 14C activity and groundwater mean age as a result of uncertainty in 14C geochemical correction. Please see the processing steps below and the main manuscript for additional details on the results presented in this table.\n\nCarbon-14 geochemical model results (Carbon14) contain model inputs and final adjusted carbon-14 input to TracerLPM for determination of groundwater age.Carbon-14 adjustments were made using the revised Fontes and Garnier model (Han and Plummer, 2013).</abstract>\n <purpose>Dissolved gas and environmental tracer data were collected from drinking-water wells that withdraw water from the SECP, CLOW and METX aquifer systems in 2013 to understand the age and vulnerability of the aquifer to natural and anthropogenic contaminants.</purpose>\n <supplinf>Data was presumed satisfactory for purposes described in this data release.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20130530</begdate>\n <enddate>20160127</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-100.7136</westbc>\n <eastbc>-78.6302</eastbc>\n <northbc>37.4876</northbc>\n <southbc>24.7313</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>Dissolved gas</themekey>\n <themekey>Lumped parameter modeling</themekey>\n <themekey>Groundwater age</themekey>\n <themekey>Recharge temperature</themekey>\n <themekey>Groundwater</themekey>\n <themekey>Water quality</themekey>\n <themekey>Gulf Coast</themekey>\n <themekey>South Atlantic coast</themekey>\n <themekey>NAWQA</themekey>\n <themekey>Cycle 3</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5b6c5a53e4b006a11f7ba25c</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Alabama</placekey>\n <placekey>Arkansas</placekey>\n <placekey>Florida</placekey>\n <placekey>Georgia</placekey>\n <placekey>Kentucky</placekey>\n <placekey>Louisiana</placekey>\n <placekey>Missouri</placekey>\n <placekey>Mississippi</placekey>\n <placekey>South Carolina</placekey>\n <placekey>Tennessee</placekey>\n <placekey>Texas</placekey>\n </place>\n <place>\n <placekt>None</placekt>\n <placekey>Gulf and South Atlantic Coast Aquifers</placekey>\n <placekey>South East Coastal Plain (SECP)</placekey>\n <placekey>Coastal Lowlands (CLOW)</placekey>\n <placekey>Mississippi Embayment and Texas Coastal Uplands (METX)</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>John E. Solder</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>2329 West Orton Circle</address>\n <city>West Valley City</city>\n <state>UT</state>\n <postal>84119</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>801-908-5000</cntvoice>\n <cntfax>801-908-5001</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Support provided by the National Water Quality Assessment (NAWQA) project.</datacred>\n <native>Files were created using Microsoft Excel 2007 or later. A compressed (ZIP) file named Groundwater_Age_Gulf_Coast.zip contains 8 Excel files and 1 metadata file. The zipped file size is 1.1 MB and the uncompressed file size is 1.2 MB.</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>QA was completed by the National Water Quality Assessment (NAWQA) project.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No spatial reference information are provided with these data.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No spatial reference information are provided with these data.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>W. Aeschbach-Hertig</origin>\n <origin>F. Peeters</origin>\n <origin>U. Beyerle</origin>\n <origin>R. Kipfer</origin>\n <pubdate>1999</pubdate>\n <title>Interpretation of dissolved atmospheric noble gases in natural waters</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Water Resources Research</sername>\n <issue>Volume 35, Issue 9</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>American Geophysical Union</publish>\n </pubinfo>\n <othercit>Suggested citation: Aeschbach-Hertig, W., Peeters, F., Beyerle, U., and Kipfer, R., 1999, Interpretation of dissolved atmospheric noble gases in natural waters: Water Resources Research, 35(9), 2779\xe2\x80\x932792, https://dx.doi.org/10.1029/1999WR900130.</othercit>\n <onlink>https://dx.doi.org/10.1029/1999WR900130</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1999</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Interpretation of dissolved atmospheric noble gases</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>W. Aeschbach-Hertig</origin>\n <origin>F. Peeters</origin>\n <origin>U. Beyerle</origin>\n <origin>R. Kipfer</origin>\n <pubdate>2000</pubdate>\n <title>Palaeotemperature reconstruction from noble gases in ground water taking into account equilibration with entrapped air</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Nature</sername>\n <issue>Volume 405</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>American Geophysical Union</publish>\n </pubinfo>\n <othercit>Suggested citation: Aeschbach-Hertig, W., Peeters, F., Beyerle, U., and Kipfer, R., 2000, Palaeotemperature reconstruction from noble gases in ground water taking into account equilibration with entrapped air: Nature, 405(6790), 1040-1044, https://doi.org/10.1038/35016542.</othercit>\n <onlink>https://doi.org/10.1038/35016542</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2000</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Interpretation of noble gases in ground water</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>John N. Andrews</origin>\n <pubdate>1985</pubdate>\n <title>The isotopic composition of radiogenic helium and its use to study groundwater movement in confined aquifers</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Chemical Geology</sername>\n <issue>Volume 49, Issues 1-3</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <othercit>Suggested citation: Andrews, J.N., 1985, The isotopic composition of radiogenic helium and its use to study groundwater movement in confined aquifers: Chemical Geology, 49(1-3), 339-351, https://doi.org/10.1016/0009-2541(85)90166-4.</othercit>\n <onlink>https://doi.org/10.1016/0009-2541(85)90166-4</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1985</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Using radiogenic helium to study groundwater movement</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>John N. Andrews</origin>\n <origin>David J. Lee</origin>\n <pubdate>1979</pubdate>\n <title>Inert gases in groundwater from the Bunter Sandstone of England as indicators of age and palaeoclimatic trends</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Journal of Hydrology</sername>\n <issue>Volume 41, Issues 3-4</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <othercit>Suggested citation: Andrews, J.N. and Lee, D.J., 1979, Inert gases in groundwater from the Bunter Sandstone of England as indicators of age and palaeoclimatic trends: Journal of Hydrology, 41, 233-252, https://doi.org/10.1016/0022-1694(79)90064-7.</othercit>\n <onlink>https://doi.org/10.1016/0022-1694(79)90064-7</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1979</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Inert gases in groundwater</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Eurybiades Busenberg</origin>\n <origin>L. Niel Plummer</origin>\n <pubdate>200010</pubdate>\n <title>Dating young groundwater with sulfur hexafluoride: Natural and anthropogenic sources of sulfur hexafluoride</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Water Resources Research</sername>\n <issue>Volume 36, Issue 10</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>American Geophysical Union</publish>\n </pubinfo>\n <othercit>Suggested citation: Busenberg, E., and Plummer, L.N., 2000, Dating young groundwater with sulfur hexafluoride: Natural and anthropogenic sources of sulfur hexafluoride: Water Resources Research, 36(10), 3011\xe2\x80\x933030, https://dx.doi.org/10.1029/2000WR900151.</othercit>\n <onlink>https://dx.doi.org/10.1029/2000WR900151</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>200010</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Dating young groundwater with sulfur hexafluoride</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Quan Hua</origin>\n <origin>Mike Barbetti</origin>\n <origin>Andrzej Z. Rakowski</origin>\n <pubdate>2013</pubdate>\n <title>Atmospheric radiocarbon for the period 1950-2010</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Radiocarbon</sername>\n <issue>Volume 55, Number 4</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Cambridge, UK</pubplace>\n <publish>Cambridge University Press</publish>\n </pubinfo>\n <othercit>Suggested citation: Hua, Q., Barbetti, M., and Rakowski, A.Z., 2013, Atmospheric Radiocarbon for the Period 1950\xe2\x80\x932010: Radiocarbon, 55(4), 2059-2072, https://doi.org/10.2458/azu_js_rc.v55i2.16177.</othercit>\n <onlink>https://doi.org/10.2458/azu_js_rc.v55i2.16177</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2013</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Atmospheric radiocarbon</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Andrew G. Hunt</origin>\n <pubdate>20150812</pubdate>\n <title>Noble Gas Laboratory\xe2\x80\x99s standard operating procedures for the measurement of dissolved gas in water samples</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Techniques and Methods</sername>\n <issue>Book 5, Chapter A11</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Hunt, A.G., 2015, Noble Gas Laboratory\xe2\x80\x99s standard operating procedures for the measurement of dissolved gas in water samples: U.S. Geological Survey Techniques and Methods, book 5, chap. A11, 22 p., http://dx.doi.org/10.3133/tm5A11.</othercit>\n <onlink>http://dx.doi.org/10.3133/tm5A11</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20150812</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Noble Gas Laboratory\xe2\x80\x99s standard operating procedures</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Bryant C. Jurgens</origin>\n <origin>J. K. B\xc3\xb6hlke</origin>\n <origin>Sandra M. Eberts</origin>\n <pubdate>20120719</pubdate>\n <title>TracerLPM (Version 1): An Excel Workbook\xc2\xae for Interpreting Groundwater Age Distributions from Environmental Tracer Data</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Techniques and Methods Report</sername>\n <issue>4-F3</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Jurgens, B.C., B\xc3\xb6hlke, J.K., and Eberts, S.M., 2012, TracerLPM (Version 1): An Excel\xc2\xae workbook for interpreting groundwater age distributions from environmental tracer data: U.S. Geological Survey Techniques and Methods Report 4-F3, 60 p., https://pubs.usgs.gov/tm/4-f3/.</othercit>\n <onlink>https://pubs.usgs.gov/tm/4-f3/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20120719</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>TracerLPM (Version 1)</srccitea>\n <srccontr>Software Manual</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>G. Edward Manger</origin>\n <pubdate>1963</pubdate>\n <title>Porosity and Bulk Density of Sedimentary Rocks</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Bulletin</sername>\n <issue>1144-E</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Manger, G.E., 1963, Porosity and bulk density of sedimentary rocks: U.S. Geological Survey Bulletin 1144-E, p. 55, https://pubs.usgs.gov/bul/1144e/report.pdf.</othercit>\n <onlink>https://pubs.usgs.gov/bul/1144e/report.pdf</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1963</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Sedimentary Rocks</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Andrew H. Manning</origin>\n <origin>D. Kip Solomon</origin>\n <pubdate>200305</pubdate>\n <title>Using noble gases to investigate mountain-front recharge</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Journal of Hydrology</sername>\n <issue>275</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <othercit>Suggested citation: Manning, A.H., and Solomon, D.K., 2003, Using noble gases to investigate mountain-front recharge: Journal of Hydrology, 275: 194-207, https://doi.org/10.1016/S0022-1694(03)00043-X.</othercit>\n <onlink>https://doi.org/10.1016/S0022-1694(03)00043-X</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>200305</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Interpretation of recharge using noble gases</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>R.L. Michel</origin>\n <pubdate>1989</pubdate>\n <title>Tritium deposition in the continental United States, 1953-1983</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Water-Resources Investigations Report</sername>\n <issue>89-4072</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Michel, R.L., 1989, Tritium deposition in the continental United States, 1953-1983: U.S. Geological Survey Water-Resources Investigations Report 89-4072, 46 p., https://pubs.er.usgs.gov/publication/wri894072.</othercit>\n <onlink>https://pubs.er.usgs.gov/publication/wri894072</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1989</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Tritium deposition</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>National Ocean Sciences Accelerator Mass Spectrometry Facility</origin>\n <pubdate>2016</pubdate>\n <title>General statement of 14C procedures at the National Ocean Sciences AMS Facility</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Woods Hole, MA</pubplace>\n <publish>Woods Hole Oceanographic Institution</publish>\n </pubinfo>\n <othercit>Suggested citation: National Ocean Sciences Accelerator Mass Spectrometry Facility, 2015, General statement of 14C procedures at the National Ocean Sciences AMS Facility, accessed July 2016 at http://www.whoi.edu/nosams/general-statement-of-14c-procedures.</othercit>\n <onlink>http://www.whoi.edu/nosams/general-statement-of-14c-procedures</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>201607</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>14C procedure at NOS</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>F.J. Pearson</origin>\n <origin>W. Balderer</origin>\n <origin>H.H. Loosli</origin>\n <origin>B.E. Lehmann</origin>\n <origin>A. Matter</origin>\n <origin>T. Peters</origin>\n <origin>H. Schmassmann</origin>\n <origin>Roland Gautschi</origin>\n <pubdate>1991</pubdate>\n <title>Applied Isotope Hydrogeology: A Case Study in Northern Switzerland</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Studies in Environmental Science</sername>\n <issue>43</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <othercit>Suggested citation: Pearson, F.J., Balderer, W., Loosli, H.H., Lehman, B.E., Matter, A., Peters, T., Schmassman, H., Gautschi, A., 1991, Applied Isotope Hydrogeology: A Case Study in Northern Switzerland: Studies in Environmental Science 43, Elsevier, Amsterdam, https://www.elsevier.com/books/applied-isotope-hydrogeology/pearson/978-0-444-88983-6.</othercit>\n <onlink>https://www.elsevier.com/books/applied-isotope-hydrogeology/pearson/978-0-444-88983-6</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1991</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Isotope hydrogeology of deep groundwaters</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Jeffrey D. Phillips</origin>\n <origin>Joseph S. Duval</origin>\n <origin>Russell A. Ambroziak</origin>\n <pubdate>1993</pubdate>\n <title>National geophysical data grids; gamma-ray, gravity, magnetic, and topographic data for the conterminous United States</title>\n <geoform>raster digital data</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Data Series</sername>\n <issue>9</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Phillips, J. D., Duval, J. S., and Ambroziak, R. A., 1993, National geophysical data grids; gamma-ray, gravity, magnetic, and topographic data for the conterminous United States: U.S. Geological Survey Digital Data Series DDS-9, https://pubs.er.usgs.gov/publication/ds9.</othercit>\n <onlink>https://pubs.er.usgs.gov/publication/ds9</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1993</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>National geophysical data grids</srccitea>\n <srccontr>Data resource</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Paula J Reimer</origin>\n <pubdate>20160209</pubdate>\n <title>IntCal13 and Marine13 radiocarbon age calibration curves, 0\xe2\x80\x9350,000 years cal BP</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Radiocarbon</sername>\n <issue>Volume 55, Issue 4</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Cambridge, UK</pubplace>\n <publish>Cambridge University Press</publish>\n </pubinfo>\n <othercit>Suggested citation: Reimer, P. J.; Bard, Edouard; Bayliss, Alex; Beck, J. W.; Blackwell, P. G.; Bronk Ramsey, Christopher; Buck, C. E.; Cheng, H.; Edwards, R. L.; Friedrich, M.; Grootes, P. M.; Guilderson, T. P.; Haflidason, H.; Hajdas, Irka; Hatte, C; Heaton, T. J.; Hoffman, D.L.; Hogg, A. G.; Hughen, K. A.; Kaiser, K. F.; Kromer, B.; Manning, S. W.; Niu, M.; Reimer, R. W.; Richards, D. A.; Scott, E.M.; Southon, J. R.; Staff, R.A.; Turney, C. S. M.; and Van Der Plicht, Johannes, 2013, IntCal13 and Marine13 radiocarbon age calibration curves, 0\xe2\x80\x9350,000 years cal BP: Radiocarbon, 55(4), p. 1869\xe2\x80\x931887, https://doi.org/10.2458/azu_js_rc.55.16947.</othercit>\n <onlink>https://doi.org/10.2458/azu_js_rc.55.16947</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20160209</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>IntCal13 and Marine13 radiocarbon age calibration curves</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>D. Kip Solomon</origin>\n <origin>P.G. Cook</origin>\n <pubdate>2000</pubdate>\n <title>3H and 3He, in Environmental Tracers in Subsurface Hydrology</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Boston, MA</pubplace>\n <publish>Kluwer Academic Publishers</publish>\n </pubinfo>\n <othercit>Suggested citation: Solomon, D.K., and Cook, P.G., 2000, 3H and 3He. In Environmental Tracers in Subsurface Hydrology, ed. P.G. Cook and A.L. Herczeg, 197-424. Boston: Kluwer Academic Publishers.</othercit>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2000</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>3H and 3He</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>D. Kip Solomon</origin>\n <pubdate>2000</pubdate>\n <title>4He in groundwater, in Environmental Tracers in Subsurface Hydrology</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Boston, MA</pubplace>\n <publish>Kluwer Academic Publishers</publish>\n </pubinfo>\n <othercit>Suggested citation: Solomon, D.K., 2000, 4He in groundwater. In Environmental Tracers in Subsurface Hydrology, ed. P.G. Cook and A.L. Herczeg, 425-439. Boston: Kluwer Academic Publishers.</othercit>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2000</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>4He in groundwater</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Leland Lincoln Thatcher</origin>\n <origin>Victor J. Janzer</origin>\n <origin>Kenneth W. Edwards</origin>\n <pubdate>1977</pubdate>\n <title>Methods for the determination of radioactive substances in water</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Techniques of Water-Resources Investigations</sername>\n <issue>05-A5</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Thatcher, L.L., Janzer, V.J., and Edwards, K.W., 1977, Methods for the determination of radioactive substances in water: U.S. Geological Survey Techniques of Water-Resources Investigations, book 5, chap. A5, 95 p., https://pubs.er.usgs.gov/publication/twri05A5.</othercit>\n <onlink>https://pubs.er.usgs.gov/publication/twri05A5</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1977</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Radioactive substances in water</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2010</pubdate>\n <title>Analytical Procedures for Dissolved Gasses N2 / Ar at The Reston Chlorofluorocarbon Laboratory</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: U.S. Geological Survey, 2010, The Reston Chlorofluorocarbon Laboratory, analytical procedures for dissolved gas, accessed September 2010 at http://water.usgs.gov/lab/dissolved-gas/lab/analytical_procedures/.</othercit>\n <onlink>https://water.usgs.gov/lab/dissolved-gas/lab/analytical_procedures/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2010</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>Dissolved Gasses N2 / Ar</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2016</pubdate>\n <title>CFC and SF6 Air Curves Excel Spreadsheet at The Reston Chlorofluorocarbon Laboratory</title>\n <geoform>tabular digital data</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: U.S. Geological Survey, 2016, The Reston Chlorofluorocarbon Laboratory, CFC and SF6 Air Curves Excel Spreadsheet, accessed 2016 at https://water.usgs.gov/lab/software/air_curve/index.html.</othercit>\n <onlink>https://water.usgs.gov/lab/software/air_curve/index.html</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2016</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>CFC and SF6 Air Curves</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>R.F. Weiss</origin>\n <pubdate>197008</pubdate>\n <title>The solubility of nitrogen, oxygen and argon in water and seawater</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Deep Sea Research</sername>\n <issue>Volume 17, Issue 4</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <othercit>Suggested citation: Weiss, R. F., 1970, The solubility of nitrogen, oxygen, and argon in water and seawater: Deep Sea Research, vol. 17, pp. 721-735, https://doi.org/10.1016/0011-7471(70)90037-9.</othercit>\n <onlink>https://doi.org/10.1016/0011-7471(70)90037-9</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>197008</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Solubility of nitrogen, oxygen and argon</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Liang-Feng Han</origin>\n <origin>L. Niel Plummer</origin>\n <pubdate>201308</pubdate>\n <title>Revision of Fontes & Garnier's model for the initial 14C content of dissolved inorganic carbon used in groundwater dating</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Chemical Geology</sername>\n <issue>vol. 351</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Elsevier BV</publish>\n </pubinfo>\n <othercit>ppg. 105-114</othercit>\n <onlink>http://dx.doi.org/10.1016/j.chemgeo.2013.05.011</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>201308</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Analytical geochemical correction 14C</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Concentrations of sulfur hexafluoride (SF6) in femtomoles per kilogram and argon and nitrogen in milligrams per liter were analyzed at the USGS Groundwater Dating Laboratory (formerly Reston Chlorofluorocarbon Laboratory; U.S. Geological Survey, 2010). Concentrations of noble gases (helium, neon, argon, xenon, and nitrogen) in cubic centimeters at standard temperature and pressure per gram of water and helium isotopes were analyzed at the USGS Noble Gas Laboratory (Hunt, 2015). Concentrations of carbon-14 (14C) in percent modern (pM) were analyzed at Woods Hole Oceanographic Institute were de-normalized and converted to percent modern carbon (pmC) for age dating analysis (National Ocean Sciences Accelerator Mass Spectrometry Facility, 2015). Tritium (3H) was analyzed by electrolytic enrichment-liquid scintillation at the USGS Stable Isotope and Tritium Laboratory in Menlo Park, California (Thatcher et al., 1977).</procdesc>\n <procdate>2017</procdate>\n </procstep>\n <procstep>\n <procdesc>Recharge temperature, excess air or entrapped air (Ae and EA), and the fractionation factor (F) were calculated using Ne, Ar, Kr, and Xe with the closed system equilibration model (CE) (Aeschbach-Hertig et al., 2000) by standard inverse technique (Newton method) minimizing the error-weighted misfit (\xcf\x872 ) between measured and modeled values (Aeschbach-Hertig et al., 1999; Manning and Solomon, 2003). Helium isotopes (3He and 4He) were used to determine the helium isotopic ratio of the sample to that of the atmosphere (R/Ra), the amount of helium derived from radiogenic sources (4Herad ) and the decay of tritium (3Hetrit) (Solomon 2000). Calculations of 4Herad and 3Hetrit assumed a terrigenic 3He/4He ratio of 2.8x10-8, a value within the measured range of helium production from U- and Th-series decay (Andrews 1985; Pearson et al. 1991). SF6 concentrations were corrected for excess air as derived from noble gas modeling and converted to air equilibrated concentrations for use in age modeling (Busenberg and Plummer, 2000).</procdesc>\n <procdate>2017</procdate>\n </procstep>\n <procstep>\n <procdesc>Regional histories of atmospheric tracers in recharge were compiled and used as input to the program TracerLPM [Jurgens et al., 2012] for computing groundwater ages. Tritium concentrations in precipitation from 1953 to 2020 for the area covering the Glacial aquifer system were estimated from updated monthly 3H data. Atmospheric tritium records were compiled for 10 latitude-longitude combinations covering the Glacial aquifer system (Michel, 1989; written communication, 2011). Northern Hemisphere atmospheric mixing ratios of SF6 were obtained from the U.S. Geological Survey Groundwater Dating Laboratory (U.S. Geological Survey, 2016). Atmospheric records of 14C were compiled by combining data from the 2013 international radiocarbon calibration curve (IntCal13; Reimer et al., 2013) with modern historical tropospheric 14C data for the northern hemisphere (zone 2; Hua and others, 2013). Graphical relationships between measured 3H, tritiogenic helium-3 (3Hetrit), SF6, and 14C indicated that concentrations of 14C have been diluted by 14C-free sources of 14C in water recharged since 1950. Dilution was likely caused by dissolution of dolomite and limestone detrital minerals of the aquifer. Without correction for these reactions, mean groundwater ages will be older. Dilution of the atmospheric 14C signal was estimated through geochemical modeling using analytical correction models (Han and Plummer, 2013).</procdesc>\n <procdate>2017</procdate>\n </procstep>\n <procstep>\n <procdesc>Mean groundwater ages were computed by calibrating lumped parameter models (LPMs) to concentrations of tracers (3H, 3Hetrit, SF6, CFCs, and 14C) in samples using the computer program TracerLPM (Jurgens and others, 2012). Full descriptions of procedural steps are described in the associated publication.</procdesc>\n <procdate>2017</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Table1_DGmodel.xlsx</enttypl>\n <enttypd>Excel Worksheet. Table1_DGmodel contains dissolved gas modeling results for Principal Aquifer Survey (PAS) wells in the SECP, CLOW, and METX networks. A generalized description of the dissolved gas results table is provided here.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Columns A through GK</attrlabl>\n <attrdef>Explicit column descriptions are provided in the worksheet titled \xe2\x80\x98Table1_DGmodel_Description\xe2\x80\x99.</attrdef>\n <attrdefs>National Water-Quality Assessment (NAWQA) Project</attrdefs>\n <attrdomv>\n <udom>Individual samples are identified by the respective 15-digit USGS Station ID. The Initial Model Values, Nobel Gas Model, Model Parameters and Gases Modeled describe the parametrization and constraints defined by the user. Model solutions are described by the goodness of model fit (Chi-Square), the optimized Recharge Temperature, Excess Air, Entrapped Air, Fractionation, and Excess Nitrogen. The Model Comments provide additional relevant details for select sites. The remaining data columns report the deviations and absolute modeled and measured dissolved gas concentrations.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table2_Tracers.xlsx</enttypl>\n <enttypd>Excel Worksheet. Table2_Tracers contains environmental tracer concentrations computed from dissolved gas modeling results (table 1) for Principal Aquifer Survey (PAS) wells in the SECP, CLOW, and METX networks. A generalized description of the environmental tracer concentration table is provided here.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Columns A through AX</attrlabl>\n <attrdef>Explicit column descriptions are provided in the worksheet titled \xe2\x80\x98Table2_Tracers_Description\xe2\x80\x99.</attrdef>\n <attrdefs>National Water-Quality Assessment (NAWQA) Project</attrdefs>\n <attrdomv>\n <udom>Individual samples are identified by the respective 15-digit USGS Station ID. Summary of dissolved gas modeling results, used in calculation of environmental tracer concentrations, are reported in Table 2 with complete detail provided in Table 1 of this Data Release. The calculated environmental tracer concentrations for Sulfur Hexafluoride, Tritium-Helium-3, and ancillary data are reported.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table3_TracerLPM.xlsx</enttypl>\n <enttypd>Excel Worksheet. Table3_TracerLPM contains groundwater age lumped parameter modeling (LPM) results for Principal Aquifer Survey (PAS) wells in the SECP, CLOW, and METX networks. The table provides detailed output from the Excel\xc2\xae based program TracerLPM (Jurgens and others, 2012). A generalized description of the LPM results table is provided here.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Columns A through EY</attrlabl>\n <attrdef>Explicit column descriptions are provided in the worksheet titled \xe2\x80\x98Table3_TrcerLPM_Description\xe2\x80\x99.</attrdef>\n <attrdefs>National Water-Quality Assessment (NAWQA) Project</attrdefs>\n <attrdomv>\n <udom>Individual samples are identified by the 15-digit USGS Station ID. The Optimization Type, Initial Model Values, LPM name, Free Model Parameters and Tracers Modeled describe the parametrization and constraints defined by the user. Model solutions are described by the goodness of model fit (Chi-Square), the optimized Mean Age, Model Parameter 1, and Model Parameter 2. The Mean Age describes the average age of the full age distribution for the sample which is described by the LPM name and Model Parameter 1 and 2. In the case of binary mixture models (indicated with a BMM prefix under LPM name) and additional set of optimized values for Mean Age, Model Parameter 1, and Model Parameter 2 are reported with an additional parameter, Fraction. The first set of optimized parameters describe the mean age and distribution parameters of the first mixing component while the additional set of optimized values reported for the binary models indicate the mean age and distribution parameters for the second component of the binary model, with the Fraction being the relative fractional contribution of the first mixing component. For the binary mixtures, the mean age of the mixture is calculated as follows: \nMean Age of Mixture = (Mean Age 1st comp. X Fraction) + (Mean Age 2nd Comp. X (1 \xe2\x80\x93 Fraction))\nThe age distribution model for each component is indicated by the LPM name. For example, a binary mixture of an exponential mixing model as the first component and a dispersion model as the second component will be indicated in LPM name as BMM-EMM-DM. Mathematical description and physical representations for all the distribution types are described in Jurgens and others (2012). The remaining data columns report the modeled tracer concentrations (for a given sample, mean age, and parameterized distribution), measured tracer concentrations, and Monte Carlo model results.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table4_Carbon14.xlsx</enttypl>\n <enttypd>Excel Worksheet. Table4_Carbon14 contains analytical geochemical carbon-14 model input and results for Principal Aquifer Survey (PAS) wells in the SECP, CLOW, and METX networks.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Columns A through Q</attrlabl>\n <attrdef>Explicit column descriptions are provided in the worksheet titled \xe2\x80\x98Table4_Carbon14_Description\xe2\x80\x99.</attrdef>\n <attrdefs>Producer defiNational Water-Quality Assessment (NAWQA) Projectned</attrdefs>\n <attrdomv>\n <udom>Individual samples are identified by the respective 15-digit USGS Station ID. Summary of analytical geochemical carbon-14 model input and results. The calculated environmental tracer concentrations for adjusted carbon-14 are reported.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>This data release documents eight Microsoft Excel tables that contain data for understanding groundwater ages in the sedimentary aquifers of the United States Gulf Coast. The following tables are included:\n\nTable1_DGModel.xlsx: Table 1 describes dissolved gas modeling results from PAS wells in the SECP, CLOW, and METX networks.\n\nTable1_DGmodel_Description.xlsx: Column descriptions for Table 1. \n\nTable2_Tracers.xlsx: Table 2 describes environmental tracer concentration modeling results from PAS wells in the SECP, CLOW, and METX networks.\n\nTable2_Tracers_Description.xlsx: Column descriptions for Table 2. \n\nTable3_TracerLPM.xlsx: Table 3 describes groundwater age lumped parameter modeling (LPM) from PAS wells in the SECP, CLOW, and METX networks.\n\nTable3_TracerLPM_Description.xlsx: Column descriptions for Table 3.\n\nTable4_Carbon14.xlsx: Table 4 describes carbon-14 geochemical modeling from PAS wells in the SECP, CLOW, and METX networks.\n\nTable4_Carbon14_Description.xlsx: Column descriptions for Table 4.</eaover>\n <eadetcit>Jurgens, B.C., B\xc3\xb6hlke, J.K., and Eberts, S.M., 2012, TracerLPM (Version 1): An Excel\xc2\xae workbook for interpreting groundwater age distributions from environmental tracer data: U.S. Geological Survey Techniques and Methods Report 4-F3, 60p.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7W37TC7</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200826</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Jennifer B. Sharpe</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>405 N. Goodwin Avenue</address>\n <city>Urbana</city>\n <state>IL</state>\n <postal>61801</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>217-328-9731</cntvoice>\n <cntfax>217-328-9770</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC CSDGM</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <metuc>Record created using USGS Metadata Wizard tool. (https://github.com/usgs/fort-pymdwizard)</metuc>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
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## Dates
Publication Date2016Start Date1979-01-01End Date2012-01-01
## Citation
Winslow, L.A., Rose, K.C., Read,J.S., and Hansen, G., 2016, Climate warming of lakes can be either amplified or suppressed by trends in water clarity: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7028PN4.
## Summary
It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max\_schmidt\_stability, mean\_schmidt\_stability\_JAS, mean\_schmidt\_stability\_July, SthermoD\_mean\_JAS, \[...\]
## Summary
It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max\_schmidt\_stability, mean\_schmidt\_stability\_JAS, mean\_schmidt\_stability\_July, SthermoD\_mean\_JAS, SthermoD\_mean, lake\_average\_temp, peak\_lake\_average\_temp, lake\_average\_temp\_JAS, mean\_epi\_temp, mean\_hypo\_temp, mean\_surf\_temp, mean\_bottom\_temp, peak\_surf\_temp, peak\_bottom\_temp, mean\_surf\_temp\_JAS, mean\_bottom\_temp\_JAS, mean\_bottom\_temp\_365, mean\_surf\_temp\_365, mean\_1m\_temp, mean\_surf\_JA, GDD\_wtr\_5c, GDD\_wtr\_10c, volume\_mean\_m\_3, simulation\_length\_days, mean\_volumetric\_temp, kd, out\_val calculated for 2210 lakes.
## Contacts
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:
[Luke Winslow](/catalog/catalogParty/show?partyId=Luke+Winslow),
[Kevin Rose](/catalog/catalogParty/show?partyId=Kevin+Rose),
[Jordan Read](/catalog/catalogParty/show?partyId=Jordan+Read),
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| rose\_model\_data\_stable .xml<br>_Original FGDC Metadata_ | View | 26.44 KB | application/fgdc+xml |
| 2015-07-12\_rose\_stable.tsv | | 31.67 MB | text/tab-separated-values |
| DataColumnDescriptions.txt | | 2.36 KB | text/plain |
## Purpose
Hydrological research and climate science.
## [Map](/catalog/item/imap/57473491e4b07e28b663d822)
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## Communities
- National and Regional Climate Adaptation Science Centers
- Northeast CASC
## Associated Items
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## Tags
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- [007](/catalog/items?q=&filter=tags%3D007 "007 (007, Theme, ISO 19115 Topic Category)")
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- [Wisconsin](/catalog/items?q=&filter=tags%3DWisconsin "Wisconsin (Wisconsin, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
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## Provenance
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Build Version: 2.184.0-630-gc5d79ac-0
(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Luke Winslow</origin>\n <origin>Kevin Rose</origin>\n <origin>Jordan Read</origin>\n <origin>Gretchen Hansen</origin>\n <pubdate>2016</pubdate>\n <title>Wisconsin Lake Temperature Metrics Stable Clarity</title>\n <geoform>Tab delimited text files</geoform>\n <pubinfo>\n <pubplace>Online</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.5066/F7028PN4</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale.\n\nThis data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.</abstract>\n <purpose>Hydrological research and climate science.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>19790101</begdate>\n <enddate>20120101</enddate>\n </rngdates>\n </timeinfo>\n <current>model estimates</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-92.91</westbc>\n <eastbc>-86.75</eastbc>\n <northbc>47.54</northbc>\n <southbc>42.48</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>none</themekt>\n <themekey>water temperature</themekey>\n <themekey>lakes</themekey>\n <themekey>climate change</themekey>\n <themekey>water clarity</themekey>\n <themekey>hydrodynamic model</themekey>\n <themekey>limnology</themekey>\n <themekey>water quality</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>environment</themekey>\n <themekey>inlandWaters</themekey>\n <themekey>007</themekey>\n <themekey>012</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:57473491e4b07e28b663d822</themekey>\n </theme>\n <place>\n <placekt>Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4, Washington, D.C., National Institute of Standards and Technology</placekt>\n <placekey>United States</placekey>\n <placekey>US</placekey>\n </place>\n <place>\n <placekt>U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST</placekt>\n <placekey>Wisconsin</placekey>\n <placekey>WI</placekey>\n </place>\n <place>\n <placekt>none</placekt>\n <placekey>Wisconsin</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>These data are subject to change and are not citable until reviewed and approved for official publication by the USGS</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Luke Winslow</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>8551 Research Way #120</address>\n <city>Middleton</city>\n <state>WI</state>\n <postal>53562</postal>\n <country>U.S.A.</country>\n </cntaddr>\n <cntvoice>608 821-3914</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>This work has been done as part of the U.S. Geological Survey Office of Water Information and was funded in part by the Wisconsin Department of Natural Resources and the North East Climate Science Center Integrated aqauatic climate change assessment project.</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A)</native>\n <crossref>\n <citeinfo>\n <origin>Jordan S. Read, Luke A. Winslow, Gretchen J.A. Hansen, Jamon Van Den Hoek, Paul C. Hanson, Louise C. Bruce</origin>\n <pubdate>2014</pubdate>\n <title>Simulating 2368 temperate lakes reveals weak coherence in stratification phenology</title>\n <geoform>paper</geoform>\n <pubinfo>\n <pubplace>Elsevier B.V.</pubplace>\n <publish>Ecological Modelling</publish>\n </pubinfo>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>not applicable</logic>\n <complete>not applicable</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Water temperatures were modeled for 2210 lakes across Wisconsin using the General Lake Model (GLM) between 1979 and 2012 under different scenarios of water clarity change. From these depth-discrete water temperatures, a number of different common metrics of water temperature were calculated at the annual scale.</procdesc>\n <procdate>20121231</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Wisconsin</indspref>\n <direct>Point</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>Point</sdtstype>\n <ptvctcnt>2210</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.1</latres>\n <longres>0.1</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>North American Datum of 1983</horizdn>\n <ellips>Geodetic Reference System 80</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Lake water temperature metrics</enttypl>\n <enttypd>Calculated lake water temperature metrics derived from a series of model scenarios</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>year</attrlabl>\n <attrdef>The simulated year.</attrdef>\n <attrdefs>Pope Gregory XIII</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1979</rdommin>\n <rdommax>2012</rdommax>\n <attrunit>years</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WBIC</attrlabl>\n <attrdef>The Wisconsin water body identification code.</attrdef>\n <attrdefs>Wisconsin Department of Natural Resources</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>1000000000</rdommax>\n <attrunit>N/A</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>durStrat</attrlabl>\n <attrdef>Duration of longest stratified period</attrdef>\n <attrdefs>The longest period with a 0.5 deg C difference or greater in temperature from top to bottom of lake</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>365</rdommax>\n <attrunit>days</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>max_schmidt_stability</attrlabl>\n <attrdef>Max simulated schmidt stability for the year.</attrdef>\n <attrdefs>Idso et al 1973</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>infinity</rdommax>\n <attrunit>J/m^2</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_schmidt_stability_JAS</attrlabl>\n <attrdef>Mean Schmidt stability for july, august and september.</attrdef>\n <attrdefs>Idso et al 1973</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>infinity</rdommax>\n <attrunit>J/m^2</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_schmidt_stability_July</attrlabl>\n <attrdef>Mean Schmidt stability for july</attrdef>\n <attrdefs>Idso et al 1973</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>infinity</rdommax>\n <attrunit>J/m^2</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SthermoD_mean_JAS</attrlabl>\n <attrdef>Average seasonal thermocline depth during july, august and september.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>infinity</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SthermoD_mean</attrlabl>\n <attrdef>Average seasonal thermocline depth across the entire year.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>infinity</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>lake_average_temp</attrlabl>\n <attrdef>Whole-lake average temperature for july, august, and september.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>peak_lake_average_temp</attrlabl>\n <attrdef>Peak simulated lake average temperature.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>lake_average_temp_JAS</attrlabl>\n <attrdef>Whole-lake average temperature for july, august, and september.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_epi_temp</attrlabl>\n <attrdef>Mean epilimnion temperature for stratified period</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_hypo_temp</attrlabl>\n <attrdef>Mean hypolimnion temperature for stratified period</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_surf_temp</attrlabl>\n <attrdef>Mean surface temp for simulated period</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_bottom_temp</attrlabl>\n <attrdef>Mean bottom temp for simulated period</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>peak_surf_temp</attrlabl>\n <attrdef>Maximum simulated surface temperature for simulated year</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>peak_bottom_temp</attrlabl>\n <attrdef>Maximum simulated bottom temperature for simulated year</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_surf_temp_JAS</attrlabl>\n <attrdef>Mean surface temp for july, august, and september.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_bottom_temp_JAS</attrlabl>\n <attrdef>Mean bottom temp for july, august, and september.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_bottom_temp_365</attrlabl>\n <attrdef>Mean bottom temp with non-simulated days filled in with 4 deg C.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_surf_temp_365</attrlabl>\n <attrdef>Mean surface temp with non-simulated days filled in with 4 deg C.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_1m_temp</attrlabl>\n <attrdef>Mean temperature at a depth of 1 meter.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_surf_JA</attrlabl>\n <attrdef>Mean surface temperature for july and august.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GDD_wtr_5c</attrlabl>\n <attrdef>Surface water temp growing degree days with a 5 deg C base.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>infinity</rdommax>\n <attrunit>degree C*days</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GDD_wtr_10c</attrlabl>\n <attrdef>Surface water temp growing degree days with a 10 deg C base.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>infinity</rdommax>\n <attrunit>degree C*days</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>volume_mean_m_3</attrlabl>\n <attrdef>Mean lake volume for simulation period in m^3.</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>infinity</rdommax>\n <attrunit>m^3</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>simulation_length_days</attrlabl>\n <attrdef>Number of days for the simulation (estimated ice off to ice on)</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>365</rdommax>\n <attrunit>days</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mean_volumetric_temp</attrlabl>\n <attrdef>Volumetrically averaged mean temperature for the sim period</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>kd</attrlabl>\n <attrdef>Light attenuation coefficient used for the model run</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6</rdommax>\n <attrunit>m^-1</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>out_val</attrlabl>\n <attrdef>Return value for the model. 0 indicates successful run</attrdef>\n <attrdefs>Read, J. S., D. P. Hamilton, I. D. Jones, K. Muraoka, L. A. Winslow, R. Kroiss, C. H. Wu, and E. Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26: 1325-1339.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1</rdommax>\n <attrunit>N/A</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>Luke Winslow</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Tab delimited text files</formname>\n <formvern>none</formvern>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>http://dx.doi.org/10.5066/F7028PN4</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200814</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Luke Winslow</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Data chief</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>8551 Research Way #120</address>\n <city>Middleton</city>\n <state>WI</state>\n <postal>53562</postal>\n <country>U.S.A.</country>\n </cntaddr>\n <cntvoice>608 821-3914</cntvoice>\n <cntfax>608 821-3817</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>' |
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3. [Specific conductance data for selected rivers and creeks in Yellowstone National Park, beginning in 2010 (version 2.0, May 2020)](/catalog/item/5e860936e4b01d50927fa6dd)
4. [Firehole River near West Yellowstone, site number 06036905](/catalog/folder/5e8be5c282cee42d1344434c)
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## Dates
Publication Date2020Start Date2010-05-26End Date2019-09-20
## Citation
McCleskey, R.B., White, E.B., Roth, D.A., and Stevens, E.B., 2019, Specific conductance data for selected rivers and creeks in Yellowstone National Park, beginning in 2010 (version 2.0, May 2020): U.S. Geological Survey data release, https://doi.org/10.5066/F7BP011G.
## Summary
Sample and Specific Conductance Monitoring Site Near the USGS stream gage 06036905 located along the Firehole Canyon (Latitude N 44°37'12.66", Longitude W 110°51'48.61", NAD83). Methods Specific Conductance Data An In-Situ Aqua Troll 100 Data Logger was used to measure and store specific conductance measurements. Specific conductance measurements were made every 15 minutes. The specific conductance monitoring data were periodically checked against discrete measurements. The hand-held field meter used for discrete measurements and the continuous specific conductance probe were calibrated using NIST traceable standards and measurements were made following the procedure described in the USGS National Field Manual (USGS, 2015). Water \[...\]
## Summary
Sample and Specific Conductance Monitoring Site
Near the USGS stream gage 06036905 located along the Firehole Canyon (Latitude N 44°37'12.66", Longitude W 110°51'48.61", NAD83).
Methods
Specific Conductance Data
An In-Situ Aqua Troll 100 Data Logger was used to measure and store specific conductance measurements. Specific conductance measurements were made every 15 minutes. The specific conductance monitoring data were periodically checked against discrete measurements. The hand-held field meter used for discrete measurements and the continuous specific conductance probe were calibrated using NIST traceable standards and measurements were made following the procedure described in the USGS National Field Manual (USGS, 2015).
Water Quality Data
Samples were collected near the specific conductance monitoring sites. At the time of collection, all waters samples were filtered through a syringe filter (0.45-micrometer). Two splits of the filtered water were retained for chemical analyses, including an unacidified (FU) sample for determination of anion concentrations and a nitric acid preserved (FA; 1% volume-to-volume concentrated trace-metal grade nitric acid) sample for cation and trace metal analyses. During sample collection, the water temperature, specific conductance, and pH were measured. Concentrations of chloride, fluoride, bromide, and sulfate were determined with an ion chromatograph (Dionex DX600). Analytical errors for these constituents were typically less than 2%. Total alkalinity as bicarbonate was determined by titration with sulfuric acid to the bicarbonate end-point. The analytical error in alkalinity concentrations was approximately ± 3%. Concentrations of cations and trace metals were determined with an inductively coupled plasma-optical emission spectroscopy (Perkin Elmer Optima 7300 DV) following the methods described in Ball and others (2010). Arsenic concentrations for selected samples was determined by graphite furnace atomic absorption spectroscopy (Perkin Elmer PinAAcle 900T). Quality Control (QC) analyses included standard reference water samples, sample replicates, and blanks. The accuracy of the water chemistry data was checked by calculating charge and specific conductance balance using PHREEQCI (McCleskey, 2018; McCleskey and others, 2012).
Results
Specific Conductance Data
The file FireholeSC.csv contains the date and time of each measurement and the specific conductance in units of microSiemens per centimeter.
The entries in the data file appear in the following columns:
A. Date and Time (format: MM/DD/YYYY HH:MM; MDT, mountain daylight time)
B. Specific conductance (µS/cm, microSiemens per centimeter)
C. Temperature (degree Celsius)
Water Quality Data
The file FireholeWQ.csv contains sample collection date and time, pH, specific conductance, solute concentrations, and calculated charge and specific conductance balance.
The entries in the water quality data file appear in the following columns:
A. Sample location
B. Collection Date
C. Collection Time
D. pH (standard units)
E. Specific conductance (microSiemens per centimeter)
F. Calcium concentration (milligrams per liter)
G. Magnesium concentration (milligrams per liter)
H. Sodium concentration (milligrams per liter)
I. Potassium concentration (milligrams per liter)
J. Chloride concentration (milligrams per liter)
K. Sulfate concentration (milligrams per liter)
L. Alkalinity (milligrams per liter as bicarbonate)
M. Iron concentration (milligrams per liter)
N. Silica concentration (milligrams per liter)
O. Boron concentration (milligrams per liter)
P. Aluminum concentration (milligrams per liter)
Q. Fluoride concentration (milligrams per liter)
R. Lithium concentration (milligrams per liter)
S. Strontium concentration (milligrams per liter)
T. Barium concentration (milligrams per liter)
U. Rubidium concentration (milligrams per liter)
V. Bromide concentration (milligrams per liter)
W. Manganese concentration (milligrams per liter)
X. Copper concentration (milligrams per liter)
Y. Zinc concentration (milligrams per liter)
Z. Cadmium concentration (milligrams per liter)
AA. Chromium concentration (milligrams per liter)
AB. Cobalt concentration (milligrams per liter)
AC. Lead concentration (milligrams per liter)
AD. Nickel concentration (milligrams per liter)
AE. Vanadium concentration (milligrams per liter)
AF. Arsenic concentration (milligrams per liter)
AG. Antimony concentration (milligrams per liter)
AH. Charge Balance (percent)
AI. Specific Conductance Imbalance (percent)
References
Ball, J.W., McCleskey, R.B., and Nordstrom, D.K., 2010, Water-chemistry data for selected springs, geysers, and streams in Yellowstone National Park, Wyoming, 2006-2008: U.S. Geological Survey Open-File Report 2010-1192, 109 p.
McCleskey, R.B., 2018, Calculated specific conductance using PHREEQCI: U.S. Geological Survey software release, https://doi.org/10.5066/F7M907VD.
McCleskey, R.B., Nordstrom, D.K., Ryan, J.N., and Ball, J.W., 2012, A New Method of Calculating Electrical Conductivity With Applications to Natural Waters: Geochimica et Cosmochimica Acta, v. 77, p. 369-382. \[http://www.sciencedirect.com/science/article/pii/S0016703711006181\]
USGS, 2015. A.6 Field Measurements. 6.3 Specific Electrical Conductance, National field manual for the collection of water-quality data: U.S. Geological Survey Techniques of Water-Resources Investigations, book 9, chaps. A1-A9, available online at https://water.usgs.gov/owq/FieldManual/compiled/NFM\_complete.pdf.
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## Contacts
Point of Contact
:
[R. Blaine McCleskey](/catalog/catalogParty/show?partyId=R.+Blaine+McCleskey)
Originator
:
[R. Blaine McCleskey](/catalog/catalogParty/show?partyId=R.+Blaine+McCleskey),
[Erin B. White](/catalog/catalogParty/show?partyId=Erin+B.+White),
[David A. Roth](/catalog/catalogParty/show?partyId=David+A.+Roth),
[Ethan B. Stevens](/catalog/catalogParty/show?partyId=Ethan+B.+Stevens)
Metadata Contact
:
[R. Blaine McCleskey](/catalog/catalogParty/show?partyId=R.+Blaine+McCleskey)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
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| | | | |
| --- | --- | --- | --- |
| FireholeRiverMetadata.xml<br>_Original FGDC Metadata_ | View | 27.14 KB | application/fgdc+xml |
| FireholeWQ.csv<br>“WQ data” | | 38.44 KB | text/csv |
| FireholeR.jpeg<br>“Firehole River Specific Conductance” |  | 174.87 KB | image/jpeg |
| FireholeSC.csv<br>“SC monitoring data” | | 3.57 MB | text/csv |
## Related External Resources
Type: catalogItemUrl
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## Purpose
To provide specific conductance and water chemistry data from the Firehole River near West Yellowstone monitoring site.
## Preview Image

Firehole River Specific Conductance
## [Map](/catalog/item/imap/5e8be5c282cee42d1344434c)
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>R. Blaine McCleskey</origin>\n <origin>Erin B. White</origin>\n <origin>David A. Roth</origin>\n <origin>Ethan B. Stevens</origin>\n <pubdate>2020</pubdate>\n <title>Firehole River near West Yellowstone, site number 06036905</title>\n <geoform>spreadsheet</geoform>\n <onlink>https://doi.org/10.5066/F7BP011G</onlink>\n <lworkcit>\n <citeinfo>\n <origin>R. Blaine McCleskey</origin>\n <origin>Ethan B. Stevens</origin>\n <pubdate>2020</pubdate>\n <title>Specific Conductance Data for Selected Rivers and Creeks in Yellowstone National Park, beginning in 2010</title>\n <geoform>spreadsheet</geoform>\n <onlink>https://doi.org/10.5066/F7BP011G</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Sample and Specific Conductance Monitoring Site\nNear the USGS stream gage 06036905 located along the Firehole Canyon (Latitude N 44\xc2\xb037\'12.66", Longitude W 110\xc2\xb051\'48.61", NAD83). \n\nMethods \n\nSpecific Conductance Data\nAn In-Situ Aqua Troll 100 Data Logger was used to measure and store specific conductance measurements. Specific conductance measurements were made every 15 minutes. The specific conductance monitoring data were periodically checked against discrete measurements. The hand-held field meter used for discrete measurements and the continuous specific conductance probe were calibrated using NIST traceable standards and measurements were made following the procedure described in the USGS National Field Manual (USGS, 2015).\n\nWater Quality Data\nSamples were collected near the specific conductance monitoring sites. At the time of collection, all waters samples were filtered through a syringe filter (0.45-micrometer). Two splits of the filtered water were retained for chemical analyses, including an unacidified (FU) sample for determination of anion concentrations and a nitric acid preserved (FA; 1% volume-to-volume concentrated trace-metal grade nitric acid) sample for cation and trace metal analyses. During sample collection, the water temperature, specific conductance, and pH were measured. Concentrations of chloride, fluoride, bromide, and sulfate were determined with an ion chromatograph (Dionex DX600). Analytical errors for these constituents were typically less than 2%. Total alkalinity as bicarbonate was determined by titration with sulfuric acid to the bicarbonate end-point. The analytical error in alkalinity concentrations was approximately \xc2\xb1 3%. Concentrations of cations and trace metals were determined with an inductively coupled plasma-optical emission spectroscopy (Perkin Elmer Optima 7300 DV) following the methods described in Ball and others (2010). Arsenic concentrations for selected samples was determined by graphite furnace atomic absorption spectroscopy (Perkin Elmer PinAAcle 900T). Quality Control (QC) analyses included standard reference water samples, sample replicates, and blanks. The accuracy of the water chemistry data was checked by calculating charge and specific conductance balance using PHREEQCI (McCleskey, 2018; McCleskey and others, 2012).\n\nResults\n\nSpecific Conductance Data \n\nThe file FireholeSC.csv contains the date and time of each measurement and the specific conductance in units of microSiemens per centimeter.\n\nThe entries in the data file appear in the following columns:\n\nA. Date and Time (format: MM/DD/YYYY HH:MM; MDT, mountain daylight time)\nB. Specific conductance (\xc2\xb5S/cm, microSiemens per centimeter)\nC. Temperature (degree Celsius)\n\nWater Quality Data \nThe file FireholeWQ.csv contains sample collection date and time, pH, specific conductance, solute concentrations, and calculated charge and specific conductance balance.\n\nThe entries in the water quality data file appear in the following columns:\nA. Sample location\nB. Collection Date\nC. Collection Time\nD. pH (standard units)\nE. Specific conductance (microSiemens per centimeter)\nF. Calcium concentration (milligrams per liter)\nG. Magnesium concentration (milligrams per liter)\nH. Sodium concentration (milligrams per liter)\nI. Potassium concentration (milligrams per liter)\nJ. Chloride concentration (milligrams per liter)\nK. Sulfate concentration (milligrams per liter)\nL. Alkalinity (milligrams per liter as bicarbonate)\nM. Iron concentration (milligrams per liter)\nN. Silica concentration (milligrams per liter)\nO. Boron concentration (milligrams per liter)\nP. Aluminum concentration (milligrams per liter)\nQ. Fluoride concentration (milligrams per liter)\nR. Lithium concentration (milligrams per liter)\nS. Strontium concentration (milligrams per liter)\nT. Barium concentration (milligrams per liter)\nU. Rubidium concentration (milligrams per liter)\nV. Bromide concentration (milligrams per liter)\nW. Manganese concentration (milligrams per liter)\nX. Copper concentration (milligrams per liter)\nY. Zinc concentration (milligrams per liter)\nZ. Cadmium concentration (milligrams per liter)\nAA. Chromium concentration (milligrams per liter)\nAB. Cobalt concentration (milligrams per liter)\nAC. Lead concentration (milligrams per liter)\nAD. Nickel concentration (milligrams per liter)\nAE. Vanadium concentration (milligrams per liter) \nAF. Arsenic concentration (milligrams per liter)\nAG. Antimony concentration (milligrams per liter)\nAH. Charge Balance (percent)\nAI. Specific Conductance Imbalance (percent)\n\nReferences\nBall, J.W., McCleskey, R.B., and Nordstrom, D.K., 2010, Water-chemistry data for selected springs, geysers, and streams in Yellowstone National Park, Wyoming, 2006-2008: U.S. Geological Survey Open-File Report 2010-1192, 109 p.\n\nMcCleskey, R.B., 2018, Calculated specific conductance using PHREEQCI: U.S. Geological Survey software release, https://doi.org/10.5066/F7M907VD.\n\nMcCleskey, R.B., Nordstrom, D.K., Ryan, J.N., and Ball, J.W., 2012, A New Method of Calculating Electrical Conductivity With Applications to Natural Waters: Geochimica et Cosmochimica Acta, v. 77, p. 369-382. [http://www.sciencedirect.com/science/article/pii/S0016703711006181]\n\nUSGS, 2015. A.6 Field Measurements. 6.3 Specific Electrical Conductance, National field manual for the collection of water-quality data: U.S. Geological Survey Techniques of Water-Resources Investigations, book 9, chaps. A1-A9, available online at https://water.usgs.gov/owq/FieldManual/compiled/NFM_complete.pdf.</abstract>\n <purpose>To provide specific conductance and water chemistry data from the Firehole River near West Yellowstone monitoring site.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20100526</begdate>\n <enddate>20190920</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Planned</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-110.87523</westbc>\n <eastbc>-110.83119</eastbc>\n <northbc>44.64380</northbc>\n <southbc>44.61369</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>geoscientificInformation</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Specific conductance</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5e8be5c282cee42d1344434c</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Yellowstone National Park</placekey>\n </place>\n </keywords>\n <accconst>Public</accconst>\n <useconst>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>R. Blaine McCleskey</cntper>\n <cntorg>USGS Water Mission Area</cntorg>\n </cntperp>\n <cntpos>Research Chemist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>3215 Marine Street, Suite E-127</address>\n <city>Boulder</city>\n <state>Colorado</state>\n <postal>80303</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>303-541-3071</cntvoice>\n <cntfax>303-541-3084</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>Data passed logical tests.</logic>\n <complete>This data will be updated as needed to include new specific conductance and water quality data.</complete>\n <lineage>\n <procstep>\n <procdesc>An In-Situ Aqua Troll 100 Data Logger was used to measure and store specific conductance measurements. All specific conductance measurements are reported at 25 degrees Celsius (\xc2\xb0C).\n\nThe data was downloaded from the Aqua Troll 100 using Win Situ mobile software and a Rugged Reader field computer.</procdesc>\n <procdate>20191001</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>SC.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Date and Time (MDT)</attrlabl>\n <attrdef>Date and time of specific conductance measurement</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Mountain Standard Time (MDT)</edomv>\n <edomvd>Mountain Standard Time (MST) is 7 hours behind Coordinated Universal Time (UTC).</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Specific Conductance</attrlabl>\n <attrdef>measured specific conductance</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>microSiemens/cm</edomv>\n <edomvd>specific conductance units</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Temperature (degree Celsius)</attrlabl>\n <attrdef>measured water temperature</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>water temperature not reported</edomv>\n <edomvd>water temperature not reported</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>degree Celsius</edomv>\n <edomvd>temperature unit</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>WQ.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Sample location</attrlabl>\n <attrdef>sample location</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>site ID</edomv>\n <edomvd>Sample location</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Collection Date</attrlabl>\n <attrdef>sample collection date</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>date</edomv>\n <edomvd>Collection Date</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Collection Time</attrlabl>\n <attrdef>sample collection time</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Local Time</edomv>\n <edomvd>Collection Time</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pH</attrlabl>\n <attrdef>sample pH</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>standard units</edomv>\n <edomvd>pH</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Specific Conductance</attrlabl>\n <attrdef>sample specific conductance</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>microSiemens per centimeter</edomv>\n <edomvd>specific conductance</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Calcium</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Magnesium</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sodium</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Potassium</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Chloride</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sulfate</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Alkalinity</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter as bicarbonate</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Iron</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Silica</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Boron</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Aluminum</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fluoride</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lithium</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Strontium</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Barium</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rubidium</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Bromide</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Manganese</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Copper</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Zinc</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cadmium</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Chromium</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cobalt</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lead</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Nickel</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Vanadium</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Arsenic</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Antimony</attrlabl>\n <attrdef>concentration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>milligrams per liter</edomv>\n <edomvd>concentration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Charge Balance</attrlabl>\n <attrdef>calculated charge balance</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Percent</edomv>\n <edomvd>percentage</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Specific Conductance Imbalance</attrlabl>\n <attrdef>calculated specific conductance imbalance</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Percent</edomv>\n <edomvd>percentage</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7BP011G</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200820</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>R. Blaine McCleskey</cntper>\n <cntorg>US Geological Survey</cntorg>\n </cntperp>\n <cntpos>Research Chemist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>3215 Marine Street, Suite E-127</address>\n <city>Boulder</city>\n <state>Colorado</state>\n <postal>80303</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>(303)541-3079</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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3. [Monarch densities in burned or grazed Minnesota remnant prairie, 2016-2017](/catalog/folder/5d487e82e4b01d82ce8dddb1)
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## Dates
Publication Date2019-08-06Start Date2016-05-31End Date2017-09-05
## Citation
Leone, J.B., Larson, D.L., Larson, J.L., Pennarola, N.P., and Oberhauser, K., 2019, Monarch densities in burned or grazed Minnesota remnant prairie, 2016-2017: U.S. Geological Survey data release, https://doi.org/10.5066/P940ICLS.
## Summary
We studied the direct and indirect impacts of using fire and grazing to manage remnant prairies on adult monarch abundance. This dataset consists of data collected at 10 burned and 10 grazed remnant Minnesota prairies during the summers of 2016 and 2017. We measured Asclepias spp. (milkweeds, monarch host plants) frequency, forb frequency, and adult monarch butterfly abundance at sites owned and managed by the Minnesota DNR, U.S. Fish and Wildlife Service, The Nature Conservancy, and private landowners.
## Summary
We studied the direct and indirect impacts of using fire and grazing to manage remnant prairies on adult monarch abundance. This dataset consists of data collected at 10 burned and 10 grazed remnant Minnesota prairies during the summers of 2016 and 2017. We measured Asclepias spp. (milkweeds, monarch host plants) frequency, forb frequency, and adult monarch butterfly abundance at sites owned and managed by the Minnesota DNR, U.S. Fish and Wildlife Service, The Nature Conservancy, and private landowners.
## Contacts
Point of Contact
:
[Julia B Leone](/catalog/catalogParty/show?partyId=71152),
[University of Minnesota](/catalog/catalogParty/show?partyId=64632)
Originator
:
[Julia B Leone](/catalog/catalogParty/show?partyId=71152),
[Diane L Larson](/catalog/catalogParty/show?partyId=5901),
[Jennifer L Larson](/catalog/catalogParty/show?partyId=60150),
[Nora P. Pennarola](/catalog/catalogParty/show?partyId=Nora+P.+Pennarola),
[Karen Oberhauser](/catalog/catalogParty/show?partyId=64631)
Metadata Contact
:
[Jennifer L Larson](/catalog/catalogParty/show?partyId=60150),
[Polistes Foundation, Inc. (USGS contractor)](/catalog/catalogParty/show?partyId=Polistes+Foundation%2C+Inc.+%28USGS+contractor%29)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[Northern Prairie Wildlife Research Center](/catalog/catalogParty/show?partyId=17302)
USGS Mission Area
:
[Ecosystems](/catalog/catalogParty/show?partyId=17044)
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| | | | |
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| Monarch\_densities\_in\_burned\_or\_grazed\_Minnesota\_remnant\_prairie\_2016-2017.xml<br>_Original FGDC Metadata_ | View | 40.64 KB | application/fgdc+xml |
| MonarchAbundanceBySite.csv | | 11.84 KB | text/csv |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Leone, J.B., Larson, D.L., Larson, J.L., Pennarola, P. and Oberhauser, K., 2019. Adult monarch (Danaus plexippus) abundance is higher in burned sites than in grazed sites. Frontiers in Ecology and Evolution, 7, p.435. | [https://doi.org/10.3389/fevo.2019.00435](https://doi.org/10.3389/fevo.2019.00435 "https://doi.org/10.3389/fevo.2019.00435") |
## Purpose
Much of the remaining suitable habitat for monarchs (Danaus plexippus) in Minnesota is found in tallgrass prairies. These data were collected to study the direct and indirect impacts of using fire and grazing management on adult monarch abundance in remnant prairies. Understanding how management affects monarch use of grasslands is important because grasslands have the potential to contribute greatly to monarch conservation goals. This information will help land managers and conservation planners make decisions about how and where to use fire and grazing in remnant prairie
## [Map](/catalog/item/imap/5d487e82e4b01d82ce8dddb1)
[](/catalog/item/imap/5d487e82e4b01d82ce8dddb1)
## Communities
- USGS Data Release Products
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Theme
- [Asclepias](/catalog/items?q=&filter=tags%3DAsclepias "Asclepias (Asclepias, Theme, None)")
- [Cattle grazing](/catalog/items?q=&filter=tags%3DCattle+grazing "Cattle grazing (Cattle grazing, Theme, USGS Biocomplexity Thesaurus)")
- [Danaus plexippus](/catalog/items?q=&filter=tags%3DDanaus+plexippus "Danaus plexippus (Danaus plexippus, Theme, None)")
- [Grassland management](/catalog/items?q=&filter=tags%3DGrassland+management "Grassland management (Grassland management, Theme, USGS Biocomplexity Thesaurus)")
- [Prescribed fires](/catalog/items?q=&filter=tags%3DPrescribed+fires "Prescribed fires (Prescribed fires, Theme, USGS Biocomplexity Thesaurus)")
- [Tallgrass prairies](/catalog/items?q=&filter=tags%3DTallgrass+prairies "Tallgrass prairies (Tallgrass prairies, Theme, USGS Biocomplexity Thesaurus)")
- [biota](/catalog/items?q=&filter=tags%3Dbiota "biota (biota, Theme, ISO 19115 Topic Categories)")
- [milkweeds](/catalog/items?q=&filter=tags%3Dmilkweeds "milkweeds (milkweeds, Theme, None)")
- [monarch](/catalog/items?q=&filter=tags%3Dmonarch "monarch (monarch, Theme, USGS Thesaurus)")
- [monarch butterfly](/catalog/items?q=&filter=tags%3Dmonarch+butterfly "monarch butterfly (monarch butterfly, Theme, None)")
Place
- [Minnesota](/catalog/items?q=&filter=tags%3DMinnesota "Minnesota (Minnesota, Place, Geographic Names Information System (GNIS))")
USGS Scientific Topic Keyword
- [Ecology](/catalog/items?q=&filter=tags%3DEcology "Ecology (Ecology, USGS Scientific Topic Keyword, )")
## Provenance
January 26, 2022 broken link in metadata fixed.
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P940ICLS |
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Build Version: 2.184.0-630-gc5d79ac-0
(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Julia B. Leone</origin>\n <origin>Diane L. Larson</origin>\n <origin>Jennifer L. Larson</origin>\n <origin>Nora P. Pennarola</origin>\n <origin>Karen Oberhauser</origin>\n <pubdate>2019</pubdate>\n <title>Monarch densities in burned or grazed Minnesota remnant prairie, 2016-2017</title>\n <geoform>tabular digital data</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P940ICLS</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Leone, J.B.</origin>\n <origin>Larson, D.L.</origin>\n <origin>Larson, J.L.</origin>\n <origin>Pennarola, N.</origin>\n <origin>Oberhauser, K.</origin>\n <pubdate>2019</pubdate>\n <title>Adult monarch (Danaus plexippus) abundance is higher in burned sites than in grazed sites</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>N/A</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3389/fevo.2019.00435</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>We studied the direct and indirect impacts of using fire and grazing to manage remnant prairies on adult monarch abundance. This dataset consists of data collected at 10 burned and 10 grazed remnant Minnesota prairies during the summers of 2016 and 2017. We measured Asclepias spp. (milkweeds, monarch host plants) frequency, forb frequency, and adult monarch butterfly abundance at sites owned and managed by the Minnesota DNR, U.S. Fish and Wildlife Service, The Nature Conservancy, and private landowners.</abstract>\n <purpose>Much of the remaining suitable habitat for monarchs (Danaus plexippus) in Minnesota is found in tallgrass prairies. These data were collected to study the direct and indirect impacts of using fire and grazing management on adult monarch abundance in remnant prairies. Understanding how management affects monarch use of grasslands is important because grasslands have the potential to contribute greatly to monarch conservation goals. This information will help land managers and conservation planners make decisions about how and where to use fire and grazing in remnant prairie</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20160531</begdate>\n <enddate>20170905</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-97.02026367158</westbc>\n <eastbc>-95.372314452892</eastbc>\n <northbc>46.754616856587</northbc>\n <southbc>43.627806711488</southbc>\n </bounding>\n <descgeog>Prairie Parkland Province in western Minnesota</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>monarch</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>monarch butterfly</themekey>\n <themekey>Danaus plexippus</themekey>\n <themekey>Asclepias</themekey>\n <themekey>milkweeds</themekey>\n </theme>\n <theme>\n <themekt>USGS Biocomplexity Thesaurus</themekt>\n <themekey>Tallgrass prairies</themekey>\n <themekey>Prescribed fires</themekey>\n <themekey>Cattle grazing</themekey>\n <themekey>Grassland management</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Categories</themekt>\n <themekey>biota</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d487e82e4b01d82ce8dddb1</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Minnesota</placekey>\n </place>\n </keywords>\n <accconst>Authorized distribution is strongly recommended to be direct from the distributor described above or from U.S. Geological Survey ScienceBase Catalog Service (https://www.sciencebase.gov). Data integrity can be verified using authentication information herein. The distributor makes no claims as to the suitability of these data for other purposes than those described herein.</accconst>\n <useconst>Users should not use these data for critical applications without a full awareness of their limitations. Users should be aware that temporal changes may have occurred since these data were collected and that some parts of these data may no longer represent actual ground conditions. Users should also be aware that comparison with other data sets for the same area that were generated from other time periods may be inaccurate due to inconsistencies resulting from changes in mapping conventions, data collection, and computer processing methods over time. The distributor shall not be liable for improper or incorrect use of these data, based on the description of appropriate/inappropriate uses described in this metadata document. Acknowledgment of the U.S. Geological Survey Northern Prairie Wildlife Research Center as a data source would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices for data source is expected by users of these data. Notification of new data products developed directly from these data would also be appreciated; please notify the listed primary contact or U.S. Geological Survey Northern Prairie Wildlife Center staff.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Julia B. Leone</cntper>\n <cntorg>University of Minnesota, College of Food, Agriculture and Natural Resources</cntorg>\n </cntperp>\n <cntpos>PhD candidate</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2003 Upper Buford Circle, 20 Skok Hall</address>\n <city>Saint Paul</city>\n <state>Minnesota</state>\n <postal>55108</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>651-769-7786</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Environment and Natural Resources Trust Fund, Prairie Biotic Research, Inc., National Science Foundation</datacred>\n <taxonomy>\n <keywtax>\n <taxonkt>USGS Biocomplexity Thesaurus</taxonkt>\n <taxonkey>Insects</taxonkey>\n <taxonkey>Plants</taxonkey>\n </keywtax>\n <taxonsys>\n <classsys>\n <classcit>\n <citeinfo>\n <origin>Integrated Taxonomic Information System (ITIS)</origin>\n <pubdate>2019</pubdate>\n <title>Integrated Taxonomic Information System (ITIS)</title>\n <geoform>ONLINE_REFERENCE</geoform>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>Integrated Taxonomic Information System (ITIS)</publish>\n </pubinfo>\n <onlink>http://itis.gov</onlink>\n </citeinfo>\n </classcit>\n </classsys>\n <ider>\n <cntinfo>\n <cntperp>\n <cntper>Julia Leone</cntper>\n <cntorg>University of Minnesota, College of Food, Agriculture and Natural Resources</cntorg>\n </cntperp>\n <cntpos>PhD candidate</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2003 Upper Buford Circle, 20 Skok Hall</address>\n <city>Saint Paul</city>\n <state>Minnesota</state>\n <postal>55108</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>651-769-7786</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ider>\n <ider>\n <cntinfo>\n <cntperp>\n <cntper>Jennifer L Larson</cntper>\n <cntorg>Midwest Region: NORTHERN PRAIRIE WILDLIFE RES CTR</cntorg>\n </cntperp>\n <cntpos>Associate Scientist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1561 Lindig St.</address>\n <city>St. Paul</city>\n <state>MN</state>\n <postal>55108</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>651-649-5042</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ider>\n <taxonpro>identification keys</taxonpro>\n <taxoncom>Monarch butterflies were identified to species. All plants were identified to the species level, when possible.</taxoncom>\n </taxonsys>\n <taxongen>Monarch butterflies were identified to species. Asclepias species were identified to genus or species, when possible.</taxongen>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Ecdysozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Arthropoda</taxonrv>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Hexapoda</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Insecta</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Pterygota</taxonrv>\n <taxoncl>\n <taxonrn>Infraclass</taxonrn>\n <taxonrv>Neoptera</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Holometabola</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Lepidoptera</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Papilionoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Nymphalidae</taxonrv>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Danainae</taxonrv>\n <taxoncl>\n <taxonrn>Tribe</taxonrn>\n <taxonrv>Danaini</taxonrv>\n <taxoncl>\n <taxonrn>Subtribe</taxonrn>\n <taxonrv>Danaina</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Danaus</taxonrv>\n <taxoncl>\n <taxonrn>Subgenus</taxonrn>\n <taxonrv>Danaus (Danaus)</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Danaus plexippus</taxonrv>\n <common>monarch butterfly</common>\n <common>monarque</common>\n <common>Monarch</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Gentianales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Apocynaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Asclepias</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Asclepias ovalifolia</taxonrv>\n <common>milkweed</common>\n <common>oval-leaf milkweed</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Gentianales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Apocynaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Asclepias</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Asclepias speciosa</taxonrv>\n <common>showy milkweed</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Gentianales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Apocynaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Asclepias</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Asclepias syriaca</taxonrv>\n <common>broadleaf milkweed</common>\n <common>common milkweed</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Gentianales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Apocynaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Asclepias</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Asclepias tuberosa</taxonrv>\n <common>butterflyweed</common>\n <common>butterfly milkweed</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Gentianales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Apocynaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Asclepias</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Asclepias verticillata</taxonrv>\n <common>eastern whorled milkweed</common>\n <common>whorled milkweed</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Gentianales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Apocynaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Asclepias</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Asclepias viridiflora</taxonrv>\n <common>green milkweed</common>\n <common>green antelopehorn milkweed</common>\n <common>green comet milkweed</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxonomy>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>All butterfly and vegetation data were cross-checked with original data sheets for accuracy.</attraccr>\n </attracc>\n <logic>Data were examined for inconsistencies, invalid entries, and missing values.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Data were digitized using Excel and MySQL in 2017 and 2018. \nFor all analyses, adult monarch abundances from three survey visits per site per year were summed separately for summer 2016 and summer 2017. \nAdult monarch abundance during each survey period in 2016 and 2017 was summed for burned and grazed sites. \nWe computed the frequency (n occupied/total plots) of all forb and Asclepias species, by plant group and year for each study site where monarchs were surveyed. \nFor each site, we determined the percent of prairie in the surrounding landscape by first creating a 1.5 km buffer around each site using ArcMap (v 10.5.1) and overlaying this buffer onto landscape data obtained from the US Department of Agriculture, MN DNR, and South Dakota State University. We then calculated the percentage of the land within the buffer that was classified as prairie.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n <method>\n <methtype>Field</methtype>\n <methdesc>Site selection methods: we selected remnant prairies that had never been plowed and that had documented management histories of either grazing or prescribed fire from 2005 through the completion of our study in 2017. We chose 20 sites, all within the Prairie Parkland Province of Minnesota. Sites ranged in size from 1.13 to 144.7 hectares. We obtained management histories and permission to survey the sites from private landowners and land managers at multiple agencies including The Nature Conservancy, US Fish and Wildlife Service, and the MN Department of Natural Resources (MN DNR). To minimize variability, the grazed (n = 10) and burned (n = 10) sites in which we surveyed insects were selected to represent similar geographical distributions and size ranges. \nVegetation sampling methods: We surveyed vegetation twice at each site, once in 2016 and again in 2017. We used 0.5 x 2-m plots arrayed equidistantly on transects to estimate the frequency (proportion of plots occupied) of Asclepias and other forb species. Frequency was estimated whether or not plants were in bloom. The randomly placed transects were stratified to sample wet, mesic, and dry prairie types at each site. Plots were distributed along transects in proportion to the transect length and were at least 10 m from the ends of transects to avoid potential edge effects. Plots were oriented perpendicular to the transect, and the number of plots per site was proportional to the size of the site, with a minimum of 5 plots and a maximum of 30 plots in any given site. \nMonarch butterfly sampling methods: Monarchs were surveyed three times each summer for two summers (June 15 through August 31 in 2016 and May 14 through August 18 in 2017). We used a modification of the standardized Pollard Walk for relative abundance. During each site visit, the observer walked 400m of transects at a steady pace of 10m/minute and recorded all individuals seen within 2.5m on both sides, 5m ahead, and 5m above. Surveys were conducted, when possible, between 0930 h and 1830 h when temperatures were above 18\xe2\x84\x83, sustained winds less than 17 km/h, and cloud cover was <50% with no precipitation. Butterfly surveys were all conducted by the same observer.</methdesc>\n </method>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>1.0E-5</latres>\n <longres>1.0E-4</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>World Geodetic System 1984</horizdn>\n <ellips>WGS 84</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>MonarchAbundanceBySite.csv</enttypl>\n <enttypd>This data set contains monarch abundances, frequency of all forb and Asclepias species, and percent prairie of surrounding landscape from 10 burn-only and 10 graze-only remnant prairie sites in western Minnesota in 2016 and 2017.</enttypd>\n <enttypds>Originator defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>CommonName</attrlabl>\n <attrdef>The common name of each butterfly species. This is a subset of all data collected, hence the singular value of "Monarch" for each entry.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Monarch</edomv>\n <edomvd>Monarch</edomvd>\n <edomvds>Originator defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ButterflySpeciesID</attrlabl>\n <attrdef>This is a 6-character butterfly species identification number: first three letters of genus name followed by first three letters of species name.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <udom>Unique identifier for each butterfly species found. This data is a subset of a larger data set and contains only "Danaus" for Danaus plexxipus.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Genus</attrlabl>\n <attrdef>Butterfly genus name</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <udom>This attribute contains only the genus "Danaus."</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Species</attrlabl>\n <attrdef>Butterfly species name.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <udom>This attribute contains only the species "plexippus."</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SiteID</attrlabl>\n <attrdef>Unique ID for each field site in the study.</attrdef>\n <attrdefs>Originator defined.</attrdefs>\n <attrdomv>\n <udom>Each study site was given a unique ID, in part to protect private land owner privacy.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ForbFreq</attrlabl>\n <attrdef>Frequency of occurrence of all forbs for a site on a given sampling date.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.6</rdommin>\n <rdommax>11.1</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MilkweedFreq</attrlabl>\n <attrdef>Frequency of occurrence of all Asclepias spp. for a site on a given sampling date.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0.45</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PctPrairie</attrlabl>\n <attrdef>Percent of land in 1.5 km buffer surrounding each study site that was identified as prairie.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.149080229</rdommin>\n <rdommax>68.17441286</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MgmtType</attrlabl>\n <attrdef>Type of management used at a given study site.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>B</edomv>\n <edomvd>burned</edomvd>\n <edomvds>Originator defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>G</edomv>\n <edomvd>grazed</edomvd>\n <edomvds>Originator defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Year</attrlabl>\n <attrdef>Year of data collection.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2016</rdommin>\n <rdommax>2017</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Date</attrlabl>\n <attrdef>Date of data collection for butterfly surveys. Data collection for butterflies occurred 3x for each year of the study. Data collection for vegetation occurred once for each site in each year of the study, but not on the same date as the butterfly surveys.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6/27/2016</rdommin>\n <rdommax>8/4/2017</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SiteArea</attrlabl>\n <attrdef>Area of given study site in hectares.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.13</rdommin>\n <rdommax>144.7</rdommax>\n <attrunit>hectares</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>YearsManaged</attrlabl>\n <attrdef>Number of years between 2005-2017 in which a given study site was managed with either burning or grazing.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>13</rdommax>\n <attrunit>number years</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>StockingRate</attrlabl>\n <attrdef>Stocking rate of cattle at grazed sites.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>2.91</rdommax>\n <attrunit>AUM per acre, where AUM = Animal Unit Month, or the amount of forage required by a 1000 lb cow for 1 month. Stocking rate was calculated for the years prior to our study, 2005-2015</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NumMonarchs</attrlabl>\n <attrdef>Number of monarchs observed on a given site, on a given date. For all analyses, adult monarch abundances from three survey visits per site per year were summed separately for summer 2016 and summer 2017.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>17</rdommax>\n <attrunit>number monarchs</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Survey</attrlabl>\n <attrdef>Denoted early, mid or late survey. At each site three butterfly surveys were performed in each year.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>E</edomv>\n <edomvd>Early survey date. This is the first of three surveys for a given site in each year.</edomvd>\n <edomvds>Originator defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>M</edomv>\n <edomvd>Mid survey date. This is the second of three surveys for a given site in each year.</edomvd>\n <edomvds>Originator defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>L</edomv>\n <edomvd>Late survey date. This is the third of three surveys for a given site in each year.</edomvd>\n <edomvds>Originator defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TimeSinceMgmt</attrlabl>\n <attrdef>The number of years between the survey date and the last management action.</attrdef>\n <attrdefs>Originator defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>10</rdommax>\n <attrunit>years</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Buildling 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>Colorado</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>This database, identified as "Monarch densities in burned or grazed Minnesota remnant prairie, 2016-2017", has been approved for release and publication by the U.S. Geological Survey (USGS). Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from its authorized or unauthorized use. \nAlthough these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>ASCII</formname>\n <formvern>rfc4180; http://tools.ietf.org/html/rfc4180</formvern>\n <formspec>comma separated values</formspec>\n <formcont>MonarchAbundanceBySite.csv</formcont>\n <transize>3.5</transize>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://www.sciencebase.gov/catalog/file/get/5d487e82e4b01d82ce8dddb1?name=MonarchAbundanceBySite.csv</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20220126</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Jennifer Larson</cntper>\n <cntorg>Polistes Foundation, Inc. (USGS contractor)</cntorg>\n </cntperp>\n <cntpos>Ecologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1561 Lindig Street</address>\n <city>Saint Paul</city>\n <state>MN</state>\n <postal>55108</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>651-649-5042</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>' |
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3. [Air-water temperature data for the study of groundwater influence on stream thermal regimes in Shenandoah National Park, Virginia](/catalog/folder/594bdc88e4b062508e385039)
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## Dates
Publication Date2017-06-22Revision2018-05-03Start Date2012-06-23End Date2016-10-25
## Citation
Snyder, C.D., Hitt, N.P., and Johnson, Z.C., 2018, Air-water temperature data for the study of groundwater influence on stream thermal regimes in Shenandoah National Park, Virginia (ver. 2.0, May 3, 2018): U.S. Geological Survey data release, https://doi.org/10.5066/F7B56H72.
## Summary
This database contains hourly water and air temperature data from 120 site locations within 17 watersheds in Shenandoah National Park, Virginia between June 23,2012 and October 25, 2016. The database includes three separate table files (i.e, entities) in csv format: 1) Water temperature data, 2) air temperature data, and 3) site location data. All temperature data were collected using HOBO Pro V2 thermographs (accuracy = 0.2 degrees Celsius, drift = <0.1 degrees Celsius per year per year). These raw data were summarized to mean daily air and water temperatures for the analysis used in Johnson et al. Johnson, Z.C., Snyder, C.D. and Hitt, N.P., 2017, Landform features and seasonal precipitation predict shallow groundwater influence \[...\]
## Summary
This database contains hourly water and air temperature data from 120 site locations within 17 watersheds in Shenandoah National Park, Virginia between June 23,2012 and October 25, 2016. The database includes three separate table files (i.e, entities) in csv format: 1) Water temperature data, 2) air temperature data, and 3) site location data. All temperature data were collected using HOBO Pro V2 thermographs (accuracy = 0.2 degrees Celsius, drift = <0.1 degrees Celsius per year per year). These raw data were summarized to mean daily air and water temperatures for the analysis used in Johnson et al.
Johnson, Z.C., Snyder, C.D. and Hitt, N.P., 2017, Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams. Water Resour. Res. doi:10.1002/2017WR020455
## Contacts
Point of Contact
:
[Craig D Snyder](/catalog/catalogParty/show?partyId=Craig+D+Snyder)
Originator
:
[Craig D Snyder](/catalog/catalogParty/show?partyId=Craig+D+Snyder),
[Nathaniel P Hitt](/catalog/catalogParty/show?partyId=Nathaniel+P+Hitt),
[Zachary C Johnson](/catalog/catalogParty/show?partyId=Zachary+C+Johnson)
Metadata Contact
:
[Craig Snyder](/catalog/catalogParty/show?partyId=Craig+Snyder)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
Distributor
:
[ScienceBase Data Release Team](/catalog/catalogParty/show?partyId=ScienceBase+Data+Release+Team)
USGS Mission Area
:
[Ecosystems](/catalog/catalogParty/show?partyId=Ecosystems)
SDC Data Owner
:
[Eastern Ecological Science Center](/catalog/catalogParty/show?partyId=17184)
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| | | | |
| --- | --- | --- | --- |
| Metadata-SHENAirWaterTemp\_v2.xml<br>_Original FGDC Metadata_ | View | 17.14 KB | application/fgdc+xml |
| AirObs\_hourly\_WY2012to2016\_long\_v2.csv | | 34.11 MB | text/csv |
| TempSites\_UTMcoords\_v2.csv | | 2.72 KB | text/csv |
| Water\_hourly\_WY2012to2016\_long\_v2.csv | | 117.02 MB | text/csv |
| Revision History.txt | | 917 Bytes | text/plain |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Johnson, Z.C., Snyder, C.D. and Hitt, N.P., 2017, Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams. Water Resour. Res. doi:10.1002/2017WR020455 | [https://doi.org/10.1002/2017WR020455](https://doi.org/10.1002/2017WR020455 "https://doi.org/10.1002/2017WR020455") |
## Purpose
These data were used to quantify the influence of groundwater on stream thermal regimes, and to develop predictive models of groundwater influence in un-sampled space.
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## Communities
- USGS Chesapeake Bay
- USGS Data Release Products
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [headwater streams](/catalog/items?q=&filter=tags%3Dheadwater+streams "headwater streams (headwater streams, Theme, USGS Thesaurus)")
- [water temperature](/catalog/items?q=&filter=tags%3Dwater+temperature "water temperature (water temperature, Theme, USGS Thesaurus)")
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- [Shenandoah National Park](/catalog/items?q=&filter=tags%3DShenandoah+National+Park "Shenandoah National Park (Shenandoah National Park, Place, Geographic Names Information System)")
Other
- [headwater streams](/catalog/items?q=&filter=tags%3Dheadwater+streams "headwater streams")
- [water temperature](/catalog/items?q=&filter=tags%3Dwater+temperature "water temperature")
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- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
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- [Hydrogeology](/catalog/items?q=&filter=tags%3DHydrogeology "Hydrogeology (Hydrogeology, USGS Scientific Topic Keyword, )")
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- [Citation](/catalog/items?q=&filter=browseType%3DCitation "Citation")
## Provenance
On June 28, 2017, the title in the XML metadata record was updated. Revision 2.0 by Randy Bennett on May 3, 2018. To review the changes that were made, see “Revision History.txt” in the attached files section.
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7B56H72 |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Craig D Snyder</origin>\n <origin>Nathaniel P Hitt</origin>\n <origin>Zachary C Johnson</origin>\n <pubdate>2018</pubdate>\n <title>Air-water temperature data for the study of groundwater influence on stream thermal regimes in Shenandoah National Park, Virginia (Ver. 2.0, May 2018)</title>\n <geoform>.csv files</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7B56H72</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Zachary C Johnson</origin>\n <origin>Craig D Snyder</origin>\n <origin>Nathaniel P Hitt</origin>\n <pubdate>2017</pubdate>\n <title>Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams</title>\n <geoform>Tabular</geoform>\n <pubinfo>\n <pubplace>Water Resources Research</pubplace>\n <publish>AGU Publications</publish>\n </pubinfo>\n <onlink>http://agupubs.onlinelibrary.wiley.com/hub/journal/10.1002/(ISSN)1944-7973/</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This database contains hourly water and air temperature data from 120 site locations within 17 watersheds in Shenandoah National Park, Virginia between June 23,2012 and October 25, 2016. The database includes three separate table files (i.e, entities) in csv format: 1) Water temperature data, 2) air temperature data, and 3) site location data. All temperature data were collected using HOBO Pro V2 thermographs (accuracy = 0.2 degrees Celsius, drift = <0.1 degrees Celsius per year per year). These raw data were summarized to mean daily air and water temperatures for the analysis used in Johnson et al. (cited above).</abstract>\n <purpose>These data were used to quantify the influence of groundwater on stream thermal regimes, and to develop predictive models of groundwater influence in un-sampled space.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20120623</begdate>\n <enddate>20161025</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-78.887328682882</westbc>\n <eastbc>-78.04138141729</eastbc>\n <northbc>39.033776538816</northbc>\n <southbc>38.321919252089</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>headwater streams</themekey>\n <themekey>water temperature</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:594bdc88e4b062508e385039</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System</placekt>\n <placekey>Shenandoah National Park</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>It is strongly recommended that these data are directly acquired from the web address pointed to by the items DOI, and not indirectly through other sources, which may have changed the data in some way. Although the data have undergone data formatting quality review prior to posting, errors or inaccuracies may still exist in the data. Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. No warranty, expressed or implied, is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual and aggregate uses of the data. The USGS shall not be held liable for improper or incorrect use of these data.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Craig D Snyder</cntper>\n <cntorg>United States Geological Survey-Leetown Science Center-Aquatic Ecology Laboratory</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>11649 Leetown Road</address>\n <city>Kearneysville</city>\n <state>WV</state>\n <postal>25430</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>304-724-4468</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <crossref>\n <citeinfo>\n <origin>Craig D Snyder</origin>\n <origin>Nathaniel P Hitt</origin>\n <origin>John A Young</origin>\n <pubdate>2015</pubdate>\n <title>Accounting for groundwater in stream fish thermal habitat responses to climate change</title>\n <pubinfo>\n <pubplace>Ecological Applications</pubplace>\n <publish>Ecological Society of America</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.1890/14-1354.1</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>HOBO Pro V2 thermographs (accuracy = 0.2 degrees Celsius, drift = <0.1 degrees Celsius per year). Temperature loggers were calibrated before deployment using ice water baths and checked against each other and against a YSI temperature meter. Individual data was also reviewed in a QAQC process after collection for each logger.</attraccr>\n </attracc>\n <logic>QAQC tests were conducted. Values fell within expected ranges (except in the case of occasional air temperature spikes due to direct sunlight at some loggers. See "Process Input" section for or details).</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>GPS coordinates were checked each time the site was visited for data download (at least once per year). Site locations were cross-checked using ESRI ArcGIS ArcMap during analysis.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>There was data editing involved in the creation of the "Water_hourly_WY2012to2016" and "AirObs_hourly_WV2012to2016" entities, and the editing process is described below for each entity. \n\nWater_hourly_WV2012to2016: Water temperature data downloaded from each site thermograph were uploaded to excel and Microsoft Access data tables for storage and preliminary editing and analysis. At some sites, stream drying occurred over some time periods and in those cases, measurements are not representative of water temperature. To identify drying periods, temperature data for each site was graphed over the period of record and qualitative assessments of these graphs were used to parse out dry periods (inferred from spikes or outliers in temperature measurements). Water temperature measurements at dates where sites were deemed "dry" or "likely dry" from these assessments were removed from the final database prior to publication. These observations represented less than 1% of the temperature records for all sites. Values in the database determined to be anomalous due to drying were replaced with "NA". Following editing, water temperature data from all thermographs for the period of record were merged to form the "Water_hourly_WY2012to2016" entity. \n\nAirObs_hourly_WV2012to2016: Air temperature data downloaded from each site thermograph were uploaded to excel and Microsoft Access data tables for storage and preliminary editing and analysis. At some sites, air temperature data exhibited steep spikes in air temperature at specific mid-day time periods due to direct exposure to sunlight that caused rapid heating. In these cases, we performed a "spike" correction to air temperature data whereby hourly measurements that were >3 degrees (C) different from the previous hourly measurement were replaced with the average of the temperature measurement from the hour before and the hour after. measurements. Following editing, air temperature data from all thermographs were merged to form the "AirObs_hourly_WV2012to2016" entity.</procdesc>\n <procdate>2018</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Please see the .csv with UTM coordinates for temperature logger site locations called "TempSites_UTMcoords.csv". We used the NAD1983 UTM Zone 17N.</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Transverse Mercator</mapprojn>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-81.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000.0</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.6096</absres>\n <ordres>0.6096</ordres>\n </coordrep>\n <plandu>METERS</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>NAD 1983 UTM Zone 17N</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Water_hourly_WY2012to2016</enttypl>\n <enttypd>Hourly water temperature data for 120 stream locations from 2012 to 2016.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>DateTime</attrlabl>\n <attrdef>Numeric identifier describing the data and time (hour) of each water temperature measurement</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6/23/2012</rdommin>\n <rdommax>10/25/2016</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SiteID</attrlabl>\n <attrdef>Alphanumeric identifier describing individual site locations where water temperature data was measured</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Unique name for each individual site. First two or three letters are shorthand descriptions of watershed name, followed by one or two digit numbers that describe the relative position of the site in the watershed (1=furthest upstream, etc.), and then followed by another two or three letters that describe the position relative to incoming tributaries (MP=mainstem point; UCP=point on a tributary upstream from confluence with mainstem; LCP=point on mainstem just downstream of tributary confluence. For example, MR1MP indicates that this is the most upstream sample site in the Meadow Run watershed and is located on the mainstem channel.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TempC</attrlabl>\n <attrdef>Hourly measurements of water temperature in degrees Celsius. Values with "NA" indicate either the temperature logger failed or that we determined values associated with that observation represented periods when the stream was dry.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-1.58</rdommin>\n <rdommax>27.99</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>AirObs_hourly_WY2012to2016</enttypl>\n <enttypd>Hourly air temperature data for 27 site locations from 2012 to 2016</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>DateTime</attrlabl>\n <attrdef>Date and time of each air temperature measurement</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6/23/2012</rdommin>\n <rdommax>10/25/2016</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SiteID</attrlabl>\n <attrdef>Alphanumeric identifier describing individual site locations where air temperature data was measured</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Unique site name for each individual site using the same naming convention as described above for Water Temperature Site locations</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TempC</attrlabl>\n <attrdef>Hourly measurements of air temperature in degrees Celsius. Values with "NA" indicate the temperature logger failed or was lost.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-23.56</rdommin>\n <rdommax>41.095</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>TempSites_UTMcoords</enttypl>\n <enttypd>Contains the UTM coordinates (NAD_1983_Zone 17N) for each of the 120 sites where temperature loggers were located</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>SiteID</attrlabl>\n <attrdef>Unique site name for each individual site where air or water temperature data was measured and is consistent with SiteID fields for other entities.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Unique site name for each individual site where air or water temperature data was measured. Naming convention the same as SiteID attributes in air and water temperature entities.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Easting</attrlabl>\n <attrdef>The x-coordinate of the temperature logger site in the Universal Transverse Mercator coordinate system (UTM), NAD_1983_Zone 17N.</attrdef>\n <attrdefs>National Geospatial Intelligence Agency</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>691738.11290</rdommin>\n <rdommax>738368.19540</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Northing</attrlabl>\n <attrdef>The y-coordinate of the temperature logger site in the Universal Transverse Mercator coordinate system (UTM), NAD_1983_Zone 17N.</attrdef>\n <attrdefs>National Geospatial Intelligence Agency</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4225700.40400</rdommin>\n <rdommax>4293430.32200</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>ScienceBase Data Release Team</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Bldg 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1.800.ASK.USGS</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Distributor assumes no liability for misuse of data. No warranty expressed or implied is made by the USGS regarding the use of the data on any other system, nor does the act of distribution constitute any such warranty</distliab>\n </distinfo>\n <metainfo>\n <metd>20211027</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Craig Snyder</cntper>\n <cntorg>U.S Geological Survey-Leetown Science Center-Aquatic Ecology Laboratory</cntorg>\n </cntperp>\n <cntpos>Research Ecologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>11649 Leetown Road</address>\n <city>Kearneysville</city>\n <state>WV</state>\n <postal>25430</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>304-724-4468</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2020-11-18Start Date2016-05-05End Date2016-05-08
## Citation
Cunningham, K.J., and Westcott, R.L., 2020, Conductivity, temperature, and salinity data for the Miami Pockmark and Key Biscayne Pockmark: U.S. Geological Survey data release, https://doi.org/10.5066/F7TH8M0Q.
## Summary
Conductivity, temperature, and salinity data were collected from two offshore submarine pockmarks, Miami Pockmark and Key Biscayne Pockmark. A series of dives were performed to gather conductivity, temperature, and salinity data using an autonomous underwater vehicle (AUV) with a Conductivity, Temperature and Depth (CDT) instrument. These data were collected between May 5-8, 2016 using a Bluefin B12 AUV equipped with a CDT and an onboard calibrated Kearfott T-24 Inertial Navigation System (INS) aided by a GPS Wide Area Augmentation System (WAAS), 600 kHz RDI Doppler Velocity Log (DVL) and a Valeport sound velocity meter. The conductivity, temperature, and salinity data collected from Miami Pockmark and Key Biscayne Pockmark are displayed \[...\]
## Summary
Conductivity, temperature, and salinity data were collected from two offshore submarine pockmarks, Miami Pockmark and Key Biscayne Pockmark. A series of dives were performed to gather conductivity, temperature, and salinity data using an autonomous underwater vehicle (AUV) with a Conductivity, Temperature and Depth (CDT) instrument. These data were collected between May 5-8, 2016 using a Bluefin B12 AUV equipped with a CDT and an onboard calibrated Kearfott T-24 Inertial Navigation System (INS) aided by a GPS Wide Area Augmentation System (WAAS), 600 kHz RDI Doppler Velocity Log (DVL) and a Valeport sound velocity meter. The conductivity, temperature, and salinity data collected from Miami Pockmark and Key Biscayne Pockmark are displayed in figures 1-6.
## Contacts
Point of Contact
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[Kevin J Cunningham](/catalog/catalogParty/show?partyId=2230)
Metadata Contact
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[Joann F Dixon](/catalog/catalogParty/show?partyId=2589)
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Originator
:
[Kevin J Cunningham](/catalog/catalogParty/show?partyId=2230),
[Richard Westcott](/catalog/catalogParty/show?partyId=59778)
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[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[Caribbean-Florida Water Science Center](/catalog/catalogParty/show?partyId=24099)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
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| Conductivity\_Depth\_Temperature\_Salinity\_data\_Miami\_and\_Key\_Biscayne\_Pockmark.xml<br>_Original FGDC Metadata_ | View | 8.52 KB | application/fgdc+xml |
| Miami and Key Biscayne Pockmarks.png |  | 427.31 KB | image/png |
| Conductivity Comparison Key Biscayne Pockmark.jpg |  | 4.94 MB | image/jpeg |
| Salinity Comparison Key Biscayne Pockmark.jpg |  | 5.41 MB | image/jpeg |
| Temperature Comparison Key Biscayne Pockmark.jpg |  | 4.68 MB | image/jpeg |
| Conductivity Comparison Miami Pockmark.jpg |  | 5.04 MB | image/jpeg |
| Salinity Comparison Miami Pockmark.jpg |  | 5.28 MB | image/jpeg |
| Temperature Comparison Miami Pockmark.jpg |  | 5 MB | image/jpeg |
| Conductivity\_Depth\_Temperature\_Salinity\_KeyBiscayne\_Pockmark.zip | | 1.91 MB | application/zip |
| Conductivity\_Depth\_Temperature\_Salinity\_Miami\_Pockmark.zip | | 1.41 MB | application/zip |
## Purpose
To conduct a detailed survey and collect conductivity, temperature, and salinity data at the location of two offshore submarine pockmarks, Miami Pockmark and Key Biscayne Pockmark.
## Preview Image
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## Communities
- USGS Caribbean-Florida Water Science Center
- USGS Data Release Products
## Associated Items
- _related_ [Seawater chemistry and physical property profiling using CDT casts above two seafloor pockmarks on the Miami Terrace offshore of southeastern Florida, 2016](/catalog/item/5ffddb88d34e52c3b3d9e462 "Seawater chemistry and physical property profiling using CDT casts above two seafloor pockmarks on the Miami Terrace offshore of southeastern Florida, 2016")
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## Tags
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
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- [Miami Pockmark](/catalog/items?q=&filter=tags%3DMiami+Pockmark "Miami Pockmark (Miami Pockmark, Theme, )")
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## Provenance
## Additional Information
### Identifiers
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| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7TH8M0Q |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Kevin J. Cunningham</origin>\n <origin>Richard L. Westcott</origin>\n <pubdate>20201118</pubdate>\n <title>Conductivity, temperature, and salinity data for the Miami Pockmark and Key Biscayne Pockmark</title>\n <geoform>text file</geoform>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7TH8M0Q</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Conductivity, temperature, and salinity data were collected from two offshore submarine pockmarks, Miami Pockmark and Key Biscayne Pockmark. A series of dives were performed to gather conductivity, temperature, and salinity data using an autonomous underwater vehicle (AUV) with a Conductivity, Temperature and Depth (CDT) instrument. These data were collected between May 5-8, 2016 using a Bluefin B12 AUV equipped with a CDT and an onboard calibrated Kearfott T-24 Inertial Navigation System (INS) aided by a GPS Wide Area Augmentation System (WAAS), 600 kHz RDI Doppler Velocity Log (DVL) and a Valeport sound velocity meter.</abstract>\n <purpose>To conduct a detailed survey and collect conductivity, temperature, and salinity data at the location of two offshore submarine pockmarks, Miami Pockmark and Key Biscayne Pockmark.</purpose>\n <supplinf>Time Zone Description (ZD) +4 hours.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>20160505</caldate>\n </sngdate>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-80.040744</westbc>\n <eastbc>-79.966415</eastbc>\n <northbc>25.865661</northbc>\n <southbc>25.694862</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>geoscientificInformation</themekey>\n <themekey>oceans</themekey>\n </theme>\n <theme>\n <themekt>EPA GIS Keyword Thesaurus</themekt>\n <themekey>Marine</themekey>\n </theme>\n <theme>\n <themekt>User</themekt>\n <themekey>Conductivity</themekey>\n <themekey>Water Temperature</themekey>\n <themekey>Ultra-Short Baseline SONAR</themekey>\n <themekey>USBL Aided</themekey>\n <themekey>R/V Weatherbird II</themekey>\n <themekey>Autonomous Underwater Vehicle</themekey>\n <themekey>AUV</themekey>\n <themekey>Inertial Navigation System</themekey>\n <themekey>INS</themekey>\n <themekey>Subsea Navigation</themekey>\n <themekey>Miami</themekey>\n <themekey>Miami Pockmark</themekey>\n <themekey>Key Biscayne Pockmark</themekey>\n <themekey>Pockmark</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5aa19b3ce4b0b1c392e863ef</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Florida</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Kevin J Cunningham</cntper>\n <cntorg>Southeast Region</cntorg>\n </cntperp>\n <cntpos>Hydrologist (RGE)</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>3321 College Avenue</address>\n <city>Davie</city>\n <state>FL</state>\n <postal>33314</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>954-377-5913</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>SRI International and TerraSond Precision Geospatial Solutions for collecting the data.</datacred>\n </idinfo>\n <dataqual>\n <logic>A basic test for permissible values were performed. The test included all samples where the latitude, longitude and depth meet the following requirements: all latitudes within +/- 90 degrees, all longitudes within +/- 180 degrees and all AUV depths within the following range (0 <= depth <= 1000 m). Conductivity must be >= 0 and <= 80.0 mS/cm, temperature must be >=-5 C and <=35 C.</logic>\n <complete>All data point records (lat., long., depth, temperature, conductivity, and salinity) have been verified as complete.</complete>\n <posacc>\n <horizpa>\n <horizpar>Data were collected using methods that are accurate to 10 m. AUV used a calibrated T-24 INS aided by a GPS (WAAS), RDI DVL, SVP and calibrated USBL</horizpar>\n <qhorizpa>\n <horizpav>10</horizpav>\n <horizpae>Tracked using a calibrated USBL</horizpae>\n </qhorizpa>\n </horizpa>\n <vertacc>\n <vertaccr>Depth from a Keller 33X pressure sensor, 100bar unit. 0.05% of FS (0.5m) accuracy</vertaccr>\n <qvertpa>\n <vertaccv>0.5</vertaccv>\n <vertacce>Depth sensor manufacturer stated full scale accuracy</vertacce>\n </qvertpa>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Please see attached metadata files for specifics on each data file.</procdesc>\n <procdate>2016</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.00000001</latres>\n <longres>0.00000001</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>World Geodetic System 1984</horizdn>\n <ellips>WGS_1984</ellips>\n <semiaxis>6378137.000000</semiaxis>\n <denflat>298.257224</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey - Science Base</cntper>\n <cntorg>U.S. Geological Survey - Science Base</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the USGS. Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations.</distliab>\n </distinfo>\n <metainfo>\n <metd>20201118</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Joann F Dixon</cntper>\n <cntorg>Southeast Region</cntorg>\n </cntperp>\n <cntpos>IT Specialist (GIS)</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>12703 Research Parkway</address>\n <city>Orlando</city>\n <state>FL</state>\n <postal>32826</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>407-803-5533</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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3. [Liquid Chromatography Triple Quadrupole Mass Spectrometry (LC/MS/MS) analysis of cyanotoxins and algal toxins in estuary samples collected from California, USA, in 2016-17](/catalog/folder/5fdbddf8d34e30b9123d290f)
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## Dates
Publication Date2021-03-08Start Date2016-10-18End Date2017-12-29
## Citation
Donovan, A.R., Loftin, K.A., Laughrey, Z.R., Howard, M.D.A, Caron, D., Kudela, R., Tatters, A., and Smith, J., 2020, Liquid Chromatography Triple Quadrupole Mass Spectrometry (LC/MS/MS) analysis of cyanotoxins and algal toxins in estuary samples collected from California, USA, in 2016-17: U.S. Geological Survey data release, https://doi.org/10.5066/P9TEYRNC.
## Summary
Cyanobacteria known to produce cyanotoxins have been reported worldwide. As monitoring efforts have improved, they have been detected in not only freshwater, but also in estuary and marine waters. To assess the occurrence of cyanotoxins and algal toxins in California estuaries, the NOAA MERHAB funded project collected samples monthly from 11 Californian estuary locations, with 5 locations sampled in 2016 as event response. This data release includes liquid chromatography triple quadrupole mass spectrometry (LC/MS/MS) results for 21 cyanotoxins and algal toxins in estuary samples collected from California in 2016-2017.
## Summary
Cyanobacteria known to produce cyanotoxins have been reported worldwide. As monitoring efforts have improved, they have been detected in not only freshwater, but also in estuary and marine waters. To assess the occurrence of cyanotoxins and algal toxins in California estuaries, the NOAA MERHAB funded project collected samples monthly from 11 Californian estuary locations, with 5 locations sampled in 2016 as event response. This data release includes liquid chromatography triple quadrupole mass spectrometry (LC/MS/MS) results for 21 cyanotoxins and algal toxins in estuary samples collected from California in 2016-2017.
## Contacts
Point of Contact
:
[Keith A Loftin](/catalog/catalogParty/show?partyId=6200)
Originator
:
[Ariel R Donovan](/catalog/catalogParty/show?partyId=72792),
[Keith A Loftin](/catalog/catalogParty/show?partyId=6200),
[Zachary R Laughrey](/catalog/catalogParty/show?partyId=69677),
[Meredith Howard](/catalog/catalogParty/show?partyId=Meredith+Howard),
[David Caron](/catalog/catalogParty/show?partyId=David+Caron),
[Raphael Kudela](/catalog/catalogParty/show?partyId=Raphael+Kudela),
[Avery Tatters](/catalog/catalogParty/show?partyId=Avery+Tatters),
[Jayme Smith](/catalog/catalogParty/show?partyId=Jayme+Smith)
Metadata Contact
:
[Ariel R Donovan](/catalog/catalogParty/show?partyId=72792)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
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:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[Kansas Water Science Center](/catalog/catalogParty/show?partyId=17343)
USGS Mission Area
:
[Ecosystems](/catalog/catalogParty/show?partyId=Ecosystems)
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| Metadata.xml<br>_Original FGDC Metadata_ | View | 42.93 KB | application/fgdc+xml |
| MER\_LCTXM\_READ\_ME.xlsx | | 25.38 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| MER\_LCTXM\_Data\_Release.xlsx | | 59.66 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Tatters, A.O., Smith, J., Kudela, R.M., Hayashi, K., Howard, M.D., Donovan, A.R., Loftin, K.A., and Caron, D.A., 2021, The tide turns: Episodic and localized cross-contamination of a California coastline with cyanotoxins: Harmful Algae, v. 103, p. 102003, https://doi.org/10.1016/j.hal.2021.102003. | [https://doi.org/10.1016/j.hal.2021.102003](https://doi.org/10.1016/j.hal.2021.102003 "https://doi.org/10.1016/j.hal.2021.102003") |
## Purpose
The purpose of this dataset is to report the LC/MS/MS results for 21 cyanotoxins and algal toxins in water samples collected from California estuaries in 2016-2017.
## [Map](/catalog/item/imap/5fdbddf8d34e30b9123d290f)
[](/catalog/item/imap/5fdbddf8d34e30b9123d290f)
## Communities
- USGS Data Release Products
- USGS Kansas Water Science Center
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Theme
- [chemical analysis](/catalog/items?q=&filter=tags%3Dchemical+analysis "chemical analysis (chemical analysis, Theme, USGS Thesaurus)")
- [cyanotoxins](/catalog/items?q=&filter=tags%3Dcyanotoxins "cyanotoxins (cyanotoxins, Theme, None)")
- [domoic acid](/catalog/items?q=&filter=tags%3Ddomoic+acid "domoic acid (domoic acid, Theme, None)")
- [environmental health](/catalog/items?q=&filter=tags%3Denvironmental+health "environmental health (environmental health, Theme, USGS Thesaurus)")
- [liquid chromatography](/catalog/items?q=&filter=tags%3Dliquid+chromatography "liquid chromatography (liquid chromatography, Theme, USGS Thesaurus)")
- [mass spectrometry](/catalog/items?q=&filter=tags%3Dmass+spectrometry "mass spectrometry (mass spectrometry, Theme, USGS Thesaurus)")
- [microcystins](/catalog/items?q=&filter=tags%3Dmicrocystins "microcystins (microcystins, Theme, None)")
Place
- [California](/catalog/items?q=&filter=tags%3DCalifornia "California (California, Place, Geographic Names Information System (GNIS))")
USGS Scientific Topic Keyword
- [Environmental Health](/catalog/items?q=&filter=tags%3DEnvironmental+Health "Environmental Health (Environmental Health, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9TEYRNC |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Ariel R. Donovan</origin>\n <origin>Keith A. Loftin</origin>\n <origin>Zachary R. Laughrey</origin>\n <origin>Meredith Howard</origin>\n <origin>David Caron</origin>\n <origin>Raphael Kudela</origin>\n <origin>Avery Tatters</origin>\n <origin>Jayme Smith</origin>\n <pubdate>20210308</pubdate>\n <title>Liquid Chromatography Triple Quadrupole Mass Spectrometry (LC/MS/MS) analysis of cyanotoxins and algal toxins in estuary samples collected from California, USA, in 2016-17</title>\n <geoform>Tabular</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9TEYRNC</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Tatters, Avery</origin>\n <origin>Smith, Jayme</origin>\n <origin>Kudela, Raphael M.</origin>\n <origin>Hayashi, Kendra</origin>\n <origin>Howard, Meredith D.A.</origin>\n <origin>Donovan, Ariel R.</origin>\n <origin>Loftin, Keith A.</origin>\n <origin>Caron, David A.</origin>\n <pubdate>2020</pubdate>\n <title>The Tide Turns: Episodic and Localized Cross-Contamination of a California Coastline with Cyanotoxins</title>\n <geoform>Tabular (.xlsx)</geoform>\n <serinfo>\n <sername>Data Release</sername>\n <issue>Unnumbered Series</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Harmful Algae</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Cyanobacteria known to produce cyanotoxins have been reported worldwide. As monitoring efforts have improved, they have been detected in not only freshwater, but also in estuary and marine waters. To assess the occurrence of cyanotoxins and algal toxins in California estuaries, the NOAA MERHAB funded project collected samples monthly from 11 Californian estuary locations, with 5 locations sampled in 2016 as event response. This data release includes liquid chromatography triple quadrupole mass spectrometry (LC/MS/MS) results for 21 cyanotoxins and algal toxins in estuary samples collected from California in 2016-2017.</abstract>\n <purpose>The purpose of this dataset is to report the LC/MS/MS results for 21 cyanotoxins and algal toxins in water samples collected from California estuaries in 2016-2017.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20161018</begdate>\n <enddate>20171229</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-124.07975</westbc>\n <eastbc>-117.1288</eastbc>\n <northbc>41.57562</northbc>\n <southbc>32.5595</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>chemical analysis</themekey>\n <themekey>environmental health</themekey>\n <themekey>liquid chromatography</themekey>\n <themekey>mass spectrometry</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>cyanotoxins</themekey>\n <themekey>microcystins</themekey>\n <themekey>domoic acid</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5fdbddf8d34e30b9123d290f</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>California</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Keith A Loftin</cntper>\n <cntorg>MIDCONTINENT REGION: KANSAS WATER SCI CTR</cntorg>\n </cntperp>\n <cntpos>Research Chemist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1217 Biltmore Drive</address>\n <city>Lawrence</city>\n <state>KS</state>\n <postal>66049</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>785-832-3543</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Funding provided by HABSIC (grant #NA15NOS4780177), NOAA MERHAB (USGS MOA-2016-013/#11628, publication number MER215), and was partially supported by EHMA Toxic Substances Hydrology Program.</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Sample collection and preparation - Grab samples were collected for whole water samples and dissolved samples. Dissolved samples were filtered by 0.7-\xc2\xb5m filters in the field. Samples were frozen and shipped to KSWSC OGRL. All whole water samples were processed through three sequential freeze/thaw cycles to lyse cells and release intracellular toxins. Dissolved toxin samples did not go through three sequential freeze/thaw cycles. After the final thaw for whole water samples and the first thaw for dissolved toxin samples, samples were filtered using 0.7 micrometer (\xc2\xb5m) filters. The filters were extracted with acidic methanol (1% formic acid in methanol) and combined with filtered sample. Processed samples were kept frozen until analysis. Dissolved toxin samples were only analyzed if there was a detection in a whole water sample.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n <procstep>\n <procdesc>Liquid chromatography triple quadrupole mass spectrometry analysis - An 11-point calibration curve was generated at the start of each batch. Blanks were analyzed between samples, and standard addition was performed on each sample injection. A precursor ion and at least one fragment ion were monitored for each of the 21 analytes using multiple reaction monitoring (MRM) mode. MRM transitions for each compound (ion source mode (POSITIVE or NEGATIVE precursor ion \xe2\x86\x92 product ions, quantification ion denoted with *) were as follows: \n\nanatoxin-a, POSITIVE 166.1 \xe2\x86\x92 149.1*, 166.1 \xe2\x86\x92 131.1; \nazaspiracid-1, POSITIVE 842.6 \xe2\x86\x92 824.5,* 842.6 \xe2\x86\x92 672.2; \ncylindrospermopsin, POSITIVE 416.1 \xe2\x86\x92 194.2*, 416.1 \xe2\x86\x92 274.2, 416.1 \xe2\x86\x92 336.2, 416.1 \xe2\x86\x92 176.2; \ndinophysistoxin-1, NEGATIVE 817.5 \xe2\x86\x92 255.3*, 817.5 \xe2\x86\x92 563.3; \ndinophysistoxin-2, NEGATIVE 803.5 \xe2\x86\x92 255.3*, 803.5 \xe2\x86\x92 563.3; \ndomoic acid, POSITIVE 312.1 \xe2\x86\x92 266.1*, 312.1 \xe2\x86\x92 161.2, 312.1 \xe2\x86\x92 220.1, 312.1 \xe2\x86\x92 248.1; \ngymnodimine, POSITIVE 508.5 \xe2\x86\x92 490.4*, 508.5 \xe2\x86\x92 136.1; \nmicrocystin-HiLR, POSITIVE 1009.5 \xe2\x86\x92 135.1*, 1009.5 \xe2\x86\x92 213.1; \nmicrocystin-HtYR, POSITIVE 1059.5 \xe2\x86\x92 135.1*, 1059.5 \xe2\x86\x92 213.1; \nmicrocystin-LA, POSITIVE 910.4 \xe2\x86\x92 135.1*, 910.4 \xe2\x86\x92 213.1, 910.4 \xe2\x86\x92 776.4; \nmicrocystin-LF, POSITIVE 986.5 \xe2\x86\x92 135.1*, 986.5 \xe2\x86\x92 213.1, 986.5 \xe2\x86\x92 478.2, 986.5 \xe2\x86\x92 852.2, 986.5 \xe2\x86\x92 968.4; \nmicrocystin-LR, POSITIVE 995.5 \xe2\x86\x92 135.1*, 995.5 \xe2\x86\x92 213.1; \nmicrocystin-LW, POSITIVE, 1025.5 \xe2\x86\x92 135.1*, 1025.5 \xe2\x86\x92 213.0, 1025.5 \xe2\x86\x92 107.0; \nmicrocystin-LY, POSITIVE 1002.5 \xe2\x86\x92 135.1*, 1002.5 \xe2\x86\x92 213.1; \nmicrocystin-RR, POSITIVE 519.9 \xe2\x86\x92 135.1*, 519.9 \xe2\x86\x92 213.1; \nmicrocystin-WR, POSITIVE 1068.6 \xe2\x86\x92 135.1*, 1068.6 \xe2\x86\x92 213.1; \nmicrocystin-YR, POSITIVE 1045.5 \xe2\x86\x92 135.1*, 1045.5 \xe2\x86\x92 213.1; \nnodularin, POSITIVE 825.4 \xe2\x86\x92 135.1*, 825.4 \xe2\x86\x92 227.1; \nokadaic acid, NEGATIVE 803.4 \xe2\x86\x92 255.1*, 803.4 \xe2\x86\x92 151.0, 803.4 \xe2\x86\x92 113.0; \nokadaic acid, POSITIVE 827.4 \xe2\x86\x92 723.3*, 827.4 \xe2\x86\x92 809.4, 827.4 \xe2\x86\x92 791.4, 827.4 \xe2\x86\x92 443.1, 827.4 \xe2\x86\x92 571.2, 827.4 \xe2\x86\x92 595.2; \npectenotoxin-2, POSITIVE 876.5 \xe2\x86\x92 823.5*, 876.5 \xe2\x86\x92 805.5; \n13-desmethyl spirolide-c, POSITIVE 692.7 \xe2\x86\x92 164.2*, 692.7 \xe2\x86\x92 674.5. \n\nRetention times for each analyte were as follows: \n\nanatoxin-a, 6.020 min; \nazaspiracid-1, 13.020 min; \ncylindrospermopsin, 5.712 min; \ndinophysistoxin-1, 13.674 min; \ndinophysistoxin-2, 13.179 min; \ndomoic acid, 7.566 min; \ngymnodimine, 8.896 min; \nmicrocystin-HiLR, 10.847 min; \nmicrocystin-HtYR, 10.503 min; \nmicrocystin-LA, 12.143 min; \nmicrocystin-LF, 12.916 min; \nmicrocystin-LR, 10.657 min; \nmicrocystin-LW, 12.623 min; \nmicrocystin-LY, 12.141 min; \nmicrocystin-RR, 9.697 min; \nmicrocystin-WR, 10.820 min; \nmicrocystin-YR, 10.478 min; \nnodularin, 10.381 min; \nokadaic acid, 13.172 min; \npectenotoxin-2, 13.286 min; \n13-desmethyl spirolide-c, 9.937 min. \n\nOkadaic acid and dinophysistoxin-2 had the same MRM transitions and retention time, thus they were quantitated together. Ratios of precursor ion and fragment ion(s) were used to accurately quantitate analytes in sample matrices. Duplicates were analyzed every 10 samples to ensure instrument performance.</procdesc>\n <procdate>2018</procdate>\n </procstep>\n <procstep>\n <procdesc>Instrumentation - Agilent 1260 Bioinert Pump; Agilent 1260 Bioinert Autosampler; Agilent 1260 Bioinert Column Compartment; Agilent 1260 Solvent Organizer; Agilent 6460 Triple Quadrupole Mass Spectrometer; Source: Electrospray ionization (ESI); Mobile phase A: water, 0.1% formic acid, 2 millimolar (mM) ammonium formate; Mobile phase B: 50/50 (v/v) methanol/acetonitrile, 0.1% tetrahydrofuran, 2 mM ammonium formate; Column: Atlantis T3 (Waters).</procdesc>\n <procdate>2018</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>California</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>MER_LCTXM_Data_Release.xlsx</enttypl>\n <enttypd>All pertinent sample information and LC/MS/MS concentrations of cyanotoxins of water samples collected from California estuaries in 2016-2017.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>LABID</attrlabl>\n <attrdef>Sample identifier assigned to sample at the Kansas Water Science Center.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>Sample identifiers consist of "MM-" followed by a unique five-digit number.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lab_Rep</attrlabl>\n <attrdef>Designates the results as a sample collected in the field or a laboratory duplication of a sample collected in the field.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv>A</edomv>\n <edomvd>Identifies a sample as original sample received by the Kansas Water Science Center (can be unfiltered or filtered sample).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>L</edomv>\n <edomvd>Identifies sample as a laboratory duplicate of a sample received by the Kansas Water Science Center.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>B</edomv>\n <edomvd>Identifies a sample as an original field duplicate sample received by the Kansas Water Science Center. Only analyzed if the original sample (A) had a detection.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Site_Name</attrlabl>\n <attrdef>Name of environmental water body where the sample originated.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Klamath Estuary</edomv>\n <edomvd>Sample originated from Klamath Estuary, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Klamath Estuary- Mewol\'</edomv>\n <edomvd>Sample originated from Klamath Estuary- Mewol\', California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Klamath Homchah</edomv>\n <edomvd>Sample originated from Klamath Homchah, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Klamath Lower Estuary</edomv>\n <edomvd>Sample originated from Klamath Lower Estuary, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Klamath Ocean</edomv>\n <edomvd>Sample originated from Klamath Ocean, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Los Angeles River</edomv>\n <edomvd>Sample originated from Los Angeles River, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Los Angeles River - Aquarium Pier</edomv>\n <edomvd>Sample originated from Los Angeles River - Aquarium Pier, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Los Angeles River - Ocean Bridge</edomv>\n <edomvd>Sample originated from Los Angeles River - Ocean Bridge, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Los Pe\xc3\xb1asquitos Lagoon</edomv>\n <edomvd>Sample originated from Los Pe\xc3\xb1asquitos Lagoon, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Newport Back Bay</edomv>\n <edomvd>Sample originated from Newport Back Bay, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>San Francisco Bay/Romberg Tiburon Center Pier</edomv>\n <edomvd>Sample originated from San Francisco Bay/Romberg Tiburon Center Pier, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>San Gabriel River - Edison Park</edomv>\n <edomvd>Sample originated from San Gabriel River - Edison Park, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>San Gabriel River - Marina Bridge</edomv>\n <edomvd>Sample originated from San Gabriel River - Marina Bridge, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Santa Clara River Estuary</edomv>\n <edomvd>Sample originated from Santa Clara River Estuary, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Santa Cruz Wharf</edomv>\n <edomvd>Sample originated from Santa Cruz Wharf, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Seal Beach</edomv>\n <edomvd>Sample originated from Seal Beach, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Tijuana River Estuary</edomv>\n <edomvd>Sample originated from Tijuana River Estuary, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Site_ID</attrlabl>\n <attrdef>Alpha-numeric code assigned for each sampling location.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv>SS</edomv>\n <edomvd>Sample originated from Klamath Estuary, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>CLE</edomv>\n <edomvd>Sample originated from Klamath Estuary- Mewol\', California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>HOM</edomv>\n <edomvd>Sample originated from Klamath Homchah, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LES</edomv>\n <edomvd>Sample originated from Klamath Lower Estuary, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>KLO</edomv>\n <edomvd>Sample originated from Klamath Ocean, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LAR</edomv>\n <edomvd>Sample originated from Los Angeles River, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LAR AquariumPier</edomv>\n <edomvd>Sample originated from Los Angeles River - Aquarium Pier, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LAR OceanBridge</edomv>\n <edomvd>Sample originated from Los Angeles River - Ocean Bridge, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LP</edomv>\n <edomvd>Sample originated from Los Pe\xc3\xb1asquitos Lagoon, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>BB</edomv>\n <edomvd>Sample originated from Newport Back Bay, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>RTC</edomv>\n <edomvd>Sample originated from San Francisco Bay/Romberg Tiburon Center Pier, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>SGR Edison Park</edomv>\n <edomvd>Sample originated from San Gabriel River - Edison Park, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>SGR Marina Bridge</edomv>\n <edomvd>Sample originated from San Gabriel River - Marina Bridge, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>SCRE</edomv>\n <edomvd>Sample originated from Santa Clara River Estuary, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>SCW</edomv>\n <edomvd>Sample originated from Santa Cruz Wharf, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>SealBeach</edomv>\n <edomvd>Sample originated from Seal Beach, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>TJ_BR</edomv>\n <edomvd>Sample originated from Tijuana River Estuary, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>TJ_OS</edomv>\n <edomvd>Sample originated from Tijuana River Estuary, California, USA.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Env_State</attrlabl>\n <attrdef>State where the sample originated.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>ISO 3166-2</codesetn>\n <codesets>ISO 3166-2 https://www.iso.org/obp/ui/#iso:std:iso:3166:-2:ed-3:v1:en,fr</codesets>\n </codesetd>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>CA</edomv>\n <edomvd>Sample originated in the State of California.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lat_(dd)</attrlabl>\n <attrdef>Latitude GPS coordinate of sample site in decimal degrees (dd).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>32.5595</rdommin>\n <rdommax>41.57562</rdommax>\n <attrunit>Decimal degrees.</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Long_(dd)</attrlabl>\n <attrdef>Longitude GPS coordinate of sample site in decimal degrees (dd).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-124.079750</rdommin>\n <rdommax>-117.1288</rdommax>\n <attrunit>Decimal degrees.</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Env_Date_(YYYYMMDD)</attrlabl>\n <attrdef>Date sample was collected in field in year (YYYY) month (MM) day (DD) format.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>20161018</rdommin>\n <rdommax>20171229</rdommax>\n <attrunit>Date in YYYY (year) MM (month) DD (day) format.</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>USGS_Rec_(YYYYMMDD)</attrlabl>\n <attrdef>Date sample was received by the USGS Kansas Water Science Center in year (YYYY) month (MM) day (DD) format.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>20170131</rdommin>\n <rdommax>20180424</rdommax>\n <attrunit>Date in YYYY (year) MM (month) DD (day) format.</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Remarks</attrlabl>\n <attrdef>Designates whether a sample is whole water or dissolved.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Whole Water CyanoToxin</edomv>\n <edomvd>Sample was not filtered in the field and was processed by three sequential freeze/thaw cycles to lyse cyanobacteria cells present before toxin analysis.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Dissolved CyanoToxin</edomv>\n <edomvd>Sample was filtered in the field to remove any cyanobacteria present.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ANAA_(ug/L)</attrlabl>\n <attrdef>Anatoxin-a concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv><0.08</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>AZA_1_(ug/L)</attrlabl>\n <attrdef>Azaspiracid-1 concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CYLS_(ug/L)</attrlabl>\n <attrdef>Cylindrospermopsin concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><0.10</rdommin>\n <rdommax>0.19</rdommax>\n <attrunit>Microgram per liter (ug/L) of cylindrospermopsin in sample.</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DTX_1_(ug/L)</attrlabl>\n <attrdef>Dinophysistoxin-1 concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv><0.30</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DMAC_(ug/L)</attrlabl>\n <attrdef>Domoic acid concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><0.10</rdommin>\n <rdommax>10.4</rdommax>\n <attrunit>Microgram per liter (ug/L) of domoic acid in sample.</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GYM_(ug/L)</attrlabl>\n <attrdef>Gymnodimine concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MCHiLR_(ug/L)</attrlabl>\n <attrdef>Microcystin-HiLR concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><0.10</rdommin>\n <rdommax>6.75</rdommax>\n <attrunit>Microgram per liter (ug/L) of microcystin-HiLR in sample.</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MCHtYR_(ug/L)</attrlabl>\n <attrdef>Microcystin-HtYR concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><0.10</rdommin>\n <rdommax>0.46</rdommax>\n <attrunit>Microgram per liter (ug/L) of microcystin-HtYR in sample.</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MCLA_(ug/L)</attrlabl>\n <attrdef>Microcystin-LA concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><0.10</rdommin>\n <rdommax>17.2</rdommax>\n <attrunit>Microgram per liter (ug/L) of microcystin-LA in sample.</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MCLF_(ug/L)</attrlabl>\n <attrdef>Microcystin-LF concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><0.10</rdommin>\n <rdommax>0.21</rdommax>\n <attrunit>Microgram per liter (ug/L) of microcystin-LF in sample.</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MCLR_(ug/L)</attrlabl>\n <attrdef>Microcystin-LR concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><0.10</rdommin>\n <rdommax>204.1</rdommax>\n <attrunit>Microgram per liter (ug/L) of microcystin-LR in sample.</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MCLW_(ug/L)</attrlabl>\n <attrdef>Microcystin-LW concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MCLY_(ug/L)</attrlabl>\n <attrdef>Microcystin-LY concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><0.10</rdommin>\n <rdommax>0.42</rdommax>\n <attrunit>Microgram per liter (ug/L) of microcystin-LY in sample.</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MCRR_(ug/L)</attrlabl>\n <attrdef>Microcystin-RR concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><0.08</rdommin>\n <rdommax>1332</rdommax>\n <attrunit>Microgram per liter (ug/L) of microcystin-RR in sample.</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv><0.08</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MCWR_(ug/L)</attrlabl>\n <attrdef>Microcystin-WR concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><0.30</rdommin>\n <rdommax>2207</rdommax>\n <attrunit>Microgram per liter (ug/L) of microcystin-WR in sample.</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv><0.30</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MCYR_(ug/L)</attrlabl>\n <attrdef>Microcystin-YR concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><0.10</rdommin>\n <rdommax>125</rdommax>\n <attrunit>Microgram per liter (ug/L) of microcystin-YR in sample.</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NDLR_(ug/L)</attrlabl>\n <attrdef>Nodularin concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>OKAC_DTX_2_(ug/L)</attrlabl>\n <attrdef>Okadaic acid and Dinophysistoxin-2 concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PTX_2_(ug/L)</attrlabl>\n <attrdef>Pectenotoxin-2 concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv><0.10</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SPX_1_(ug/L)</attrlabl>\n <attrdef>13-desmethyl spirolide-c concentration by LC/MS/MS in micrograms per liter (ug/L).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv><0.08</edomv>\n <edomvd>Below limit of detection, micrograms per liter (ug/L).</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Sample was not analyzed for this analyte.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>MER_LCTXM_READ_ME.xlsx</enttypl>\n <enttypd>Read Me file associated with MER_LCTXM_Data_Release.xlsx</enttypd>\n <enttypds>Producer defined.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Metadata information.</attrlabl>\n <attrdef>Metadata associated with the MER_LCTXM_Data_Release.xlsx file.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>Summary of metadata information for the MER_LCTXM_Data_Release.xlsx spreadsheet.</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey - ScienceBase</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20210308</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Ariel R Donovan</cntper>\n <cntorg>MIDCONTINENT REGION: KANSAS WATER SCI CTR</cntorg>\n </cntperp>\n <cntpos>Chemist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1217 Biltmore Drive</address>\n <city>Lawrence</city>\n <state>KS</state>\n <postal>66049</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>785-832-3584</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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5. [Cottonwood Lake Study Area - Aerial Imagery](/catalog/item/5853fea1e4b0e2663625f35d)
6. [Cottonwood Lake Study Area - Aerial Imagery - 1986](/catalog/item/58540189e4b0e2663625f37a)
7. [Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P2 from 1986](/catalog/folder/5874f50ee4b0a829a320bc4f)
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## Dates
Publication Date2017Time Period1986
## Citation
U.S. Geological Survey, 2017, Cottonwood Lake Study Area - Aerial Imagery: U.S. Geological Survey data release, https://doi.org/10.5066/F7DZ06GR.
## Summary
Orthorectified image from aerial photograph of wetland P2 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
## Summary
Orthorectified image from aerial photograph of wetland P2 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
## Contacts
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[David M. Mushet](/catalog/catalogParty/show?partyId=David+M.+Mushet)
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| | | | |
| --- | --- | --- | --- |
| DOAI\_CLSA\_p2\_1986\_metadata.xml<br>_Original FGDC Metadata_ | View | 16.01 KB | application/fgdc+xml |
| | | |
| --- | --- | --- |
| DOAI\_CLSA\_p2\_1986.tif | | 5.67 MB |
| DOAI\_CLSA\_p2\_1986.tif.sld | | 1.59 KB |
Extension:
DOAI\_CLSA\_p2\_1986.zip
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Mushet, D.M., Euliss, N.H., Jr., Rosenberry, D.O., LaBaugh, J.W., Bansal, S., Levy, Z.F., McKenna, O.P., McLean, K.I., Mills, C.T., Neff, B.P., Nelson, R.D., Solensky, M.J., and Tangen, B.A., 2022, Lessons learned from wetlands research at the Cottonwood Lake Study Area, Stutsman County, North Dakota, 1967–2021: U.S. Geological Survey Professional Paper 1874, 162 p., https://doi.org/10.3133/pp1874. | [https://doi.org/10.3133/pp1874](https://doi.org/10.3133/pp1874 "https://doi.org/10.3133/pp1874") |
## Purpose
Aerial photographs of wetlands in the Cottonwood Lake Study Area were collected in order to facilitate a better understanding of the influence of natural climate variability on the vegetation of prairie wetland ecosystems.
## [Map](/catalog/item/imap/5874f50ee4b0a829a320bc4f)
[](/catalog/item/imap/5874f50ee4b0a829a320bc4f)
## Spatial Services
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ScienceBase WCS
## Communities
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## Tags
Categories
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- [Cottonwood Lake Study Area](/catalog/items?q=&filter=tags%3DCottonwood+Lake+Study+Area "Cottonwood Lake Study Area (Cottonwood Lake Study Area, Place, None)")
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- [Prairie Pothole Region](/catalog/items?q=&filter=tags%3DPrairie+Pothole+Region "Prairie Pothole Region (Prairie Pothole Region, Place, None)")
- [Stutsman County](/catalog/items?q=&filter=tags%3DStutsman+County "Stutsman County (Stutsman County, Place, Geographic Names Information System)")
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## Provenance
Data sourceInput directly
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | 10.5066/F7DZ06GR |
### Raster Extension
| boundingBox | | minY | 47.10022190623457 |
| minX | -99.10052955500302 |
| maxY | 47.10373301409127 |
| maxX | -99.09545233187421 | |
| files | | name | DOAI\_CLSA\_p2\_1986.tif |
| contentType | image/geotiff |
| pathOnDisk | \_\_disk\_\_25/ed/38/25ed3813d4a5e224ca01bdde7d6164f20835f6fb |
| size | 5950380 |
| dateUploaded | Tue Jan 10 07:59:55 MST 2017 |
| checksum | | value | 16341d09c21b68aff47ddbf60a5ecf32 |
| type | MD5 | |
| name | DOAI\_CLSA\_p2\_1986.tif.sld |
| contentType | application/sld+xml |
| pathOnDisk | \_\_disk\_\_42/20/86/4220864072beb9dd9bcf962c941d5a7dc21a1ef3 |
| imageWidth | 580 |
| imageHeight | 435 |
| size | 1626 |
| dateUploaded | Tue Jan 10 07:59:51 MST 2017 |
| checksum | | value | 9f2f9b21de83a3f6d8a82bfd00d24bb4 |
| type | MD5 | | |
| name | DOAI\_CLSA\_p2\_1986 |
| nativeCrs | EPSG:26914 |
| rasterType | GeoTIFF |
... show more ... (Additional Information)
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2017</pubdate>\n <title>Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P2 from 1986</title>\n <geoform>remote-sensing image</geoform>\n <othercit>Suggested Citation: U.S. Geological Survey, 2017, Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P2 from 1986: U.S. Geological Survey data release, https://dx.doi.org/10.5066/F7DZ06GR.</othercit>\n <onlink>https://dx.doi.org/10.5066/F7DZ06GR</onlink>\n <lworkcit>\n <citeinfo>\n <origin>David M. Mushet</origin>\n <origin>Ned H. Euliss</origin>\n <origin>Donald O. Rosenberry</origin>\n <origin>James W. LaBaugh</origin>\n <origin>Sheel Bansal</origin>\n <origin>Zeno F. Levy</origin>\n <origin>Owen P. McKenna</origin>\n <origin>Kyle I. McLean</origin>\n <origin>Christopher T. Mills</origin>\n <origin>Brian P. Neff</origin>\n <origin>Richard D. Nelson</origin>\n <origin>Matthew J. Solensky</origin>\n <origin>Brian Tangen</origin>\n <pubdate>2022</pubdate>\n <title>Lessons learned from wetlands research at the Cottonwood Lake Study Area, Stutsman County, North Dakota, 1967\xe2\x80\x932021</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/pp1874</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Orthorectified image from aerial photograph of wetland P2 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.</abstract>\n <purpose>Aerial photographs of wetlands in the Cottonwood Lake Study Area were collected in order to facilitate a better understanding of the influence of natural climate variability on the vegetation of prairie wetland ecosystems.</purpose>\n <supplinf>These aerial photographs are part of the Missouri Coteau Wetland Ecosystem Observatory database that is a collection of abiotic and biotic data documenting biotic and abiotic responses to long-term climate variability in the Prairie Pothole Region of the U.S. The Prairie Pothole Region has a naturally dynamic climate that is characterized by extended wet and dry periods, and its wetlands have spatially variable hydrologic and biotic traits. The Cottonwood Lake Study Area in Stutsman County, North Dakota contains wetlands representative of multiple positions along a hydrologic continuum, from groundwater recharge to discharge. The extensive history of data collection in the Cottonwood Lake Study Area provides a unique opportunity to assess the impact of climate variability on ecosystem condition and productivity. The Cottonwood Lake Study Area is part of a complex of Waterfowl Production Areas in Stutsman County, North Dakota owned and managed by the U.S. Fish and Wildlife Service.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>1986</caldate>\n </sngdate>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-99.100530</westbc>\n <eastbc>-99.095452</eastbc>\n <northbc>47.103733</northbc>\n <southbc>47.100222</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>aerial photography</themekey>\n <themekey>image collections</themekey>\n <themekey>surface water (non-marine)</themekey>\n <themekey>wetland ecosystems</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Categories</themekt>\n <themekey>environment</themekey>\n <themekey>imageryBaseMapsEarthCover</themekey>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>Global Change Master Directory</themekt>\n <themekey>EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS>AQUATIC ECOSYSTEMS>WETLANDS</themekey>\n <themekey>EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS>TERRESTRIAL ECOSYSTEMS>WETLANDS</themekey>\n <themekey>PLATFORM>AERIAL PHOTOGRAPHS</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5874f50ee4b0a829a320bc4f</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System</placekt>\n <placekey>United States of America</placekey>\n <placekey>North Dakota</placekey>\n <placekey>Stutsman County</placekey>\n </place>\n <place>\n <placekt>None</placekt>\n <placekey>Northern Great Plains</placekey>\n <placekey>Prairie Pothole Region</placekey>\n <placekey>Cottonwood Lake Study Area</placekey>\n </place>\n <place>\n <placekt>FWS Cadastral Database</placekt>\n <placekey>CHASE LAKE WETLAND MANAGEMENT DISTRICT>STUTSMAN COUNTY WATERFOWL PRODUCTION AREA>Eddy</placekey>\n <placekey>CHASE LAKE WETLAND MANAGEMENT DISTRICT>STUTSMAN COUNTY WATERFOWL PRODUCTION AREA>Shuler</placekey>\n </place>\n </keywords>\n <accconst>Authorized distribution is strongly recommended to be direct from the distributor described above or from U.S. Geological Survey Science Base Catalog Service (hhtps://www.sciencebase.gov). Data integrity can be verified using authentication information herein. The distributor makes no claims as to the suitability of these data for other purposes than those described herein.</accconst>\n <useconst>Users should not use these data for critical applications without a full awareness of its limitations. Users should be aware that temporal changes may have occurred since this data set was collected and that some parts of these data may no longer represent actual ground conditions. Users should also be aware that comparison with other data sets for the same area that were generated from other time periods may be inaccurate due to inconsistencies resulting from changes in mapping conventions, data collection, and computer processing methods over time. The distributor shall not be liable for improper or incorrect use of these data, based on the description of appropriate/inappropriate uses described in this metadata document. Acknowledgment of the U.S. Geological Survey Northern Prairie Wildlife Research Center as a data source would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices for data source is expected by users of this data set. Notification of new data products developed directly from these data would also be appreciated; please notify the listed primary contact or U.S. Geological Survey Northern Prairie Wildlife Center staff.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>David M. Mushet</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Principal Investigator</cntpos>\n <cntaddr>\n <addrtype>Physical and mailing</addrtype>\n <address>Northern Prairie Wildlife Research Center</address>\n <address>8711 37th Street Southeast</address>\n <city>Jamestown</city>\n <state>North Dakota</state>\n <postal>58401</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-701-253-5558</cntvoice>\n <cntemail>[email protected]</cntemail>\n <hours>8:00 AM - 4:30 PM CST</hours>\n </cntinfo>\n </ptcontac>\n <datacred>Funding was provided by U.S. Geological Survey Climate and Land-use Change Mission Area</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Photographs suspected to be taken with Nikon FE 35mm camera body with a 28 mm Nikkor lens, and 25 ASA Kodachrome film. Then scanned using Nikon Superscan 4000 ed. Values of bands compressed by an unknown source of error.</attraccr>\n </attracc>\n <logic>Extent of image geography was inspected to ensure consistency with identification of wetlands described in metadata. Inspection of the spectral band histograms revealed all pixels have valid numeric values.</logic>\n <complete>Vertical photography was acquired through the belly hole of a Cessna 172 aircraft between 8:30 and 9:30 CST (9:30-10:30 CDT) when sun elevation angles were between 30 and 45 degrees. Flights were only conducted on days when cloud cover was expected to be less than 10% and winds less than 15 mph. Altitudes varied between 1000 and 5500 feet (305 and 1676 m) above ground level depending on size of the wetland being photographed. Small amount of missing data within the extents of the photo could be caused by dust or other flaws.</complete>\n <posacc>\n <horizpa>\n <horizpar>Aerial photographs were georeferenced using on-the-ground control points and TNTmips GIS and image processing software. Control points consisted of 71 cm diameter metal circles (painted white) positioned over all groundwater wells at the site and at other locations to provide broad coverage across the site. Other control points (e.g., large rocks, woody vegetation) were also used to ensure a minimum of 6 control points for each image. The geographic locations of control points were determined using a Trimble GPS receiver.</horizpar>\n </horizpa>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Aerial photographs on reversal film transparent slides were scanned and saved as digital images.</procdesc>\n <procdate>Unknown</procdate>\n </procstep>\n <procstep>\n <procdesc>Digital Images were georeferenced using on-the-ground control points and TNTmips GIS and image processing software.</procdesc>\n <procdate>Unknown</procdate>\n </procstep>\n <procstep>\n <procdesc>Review of image quality, georeference accuracy, and wetland identification.</procdesc>\n <procdate>20170110</procdate>\n </procstep>\n </lineage>\n <cloud>0</cloud>\n </dataqual>\n <spdoinfo>\n <indspref>Wetland identifiers used within this metadata record refer to a specific wetland of the Cottonwood Lake Study Area. Center of wetland P2 is long. -99.099665 lat. 47.101709.</indspref>\n <direct>Raster</direct>\n <rastinfo>\n <rasttype>Pixel</rasttype>\n <rowcount>1312</rowcount>\n <colcount>1283</colcount>\n </rastinfo>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <gridsys>\n <gridsysn>Universal Transverse Mercator</gridsysn>\n <utm>\n <utmzone>14</utmzone>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-99</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </utm>\n </gridsys>\n <planci>\n <plance>row and column</plance>\n <coordrep>\n <absres>0.299903</absres>\n <ordres>0.297029</ordres>\n </coordrep>\n <plandu>meters</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>North American Datum of 1983</horizdn>\n <ellips>Geodetic Reference System 80</ellips>\n <semiaxis>6378137</semiaxis>\n <denflat>298.257</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Denver Federal Center</address>\n <address>Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <resdesc>5874f50ee4b0a829a320bc4f</resdesc>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>TIFF</formname>\n <formvern>1.0</formvern>\n <formspec>Raster Specs:\nPixel Depth 8 \nCompression type None \nNumber of bands 3 \nRaster format TIFF \nSource type continuous\nPixel type unsigned integer \nPixel is Area \nNo data value 0 \nHas colormap No\nHas pyramids No \nMD5 16341d09c21b68aff47ddbf60a5ecf32</formspec>\n <formcont>DOAI_CLSA_p2_1986.tif</formcont>\n <filedec>No compression applied</filedec>\n <transize>5.95</transize>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://www.sciencebase.gov/catalog/file/get/5874f50ee4b0a829a320bc4f?name=DOAI_CLSA_p2_1986.tif</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <digform>\n <digtinfo>\n <formname>Web Map Service</formname>\n <formvern>1.3.0</formvern>\n <formcont>DOAI_CLSA_p2_1986</formcont>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://www.sciencebase.gov/catalogMaps/mapping/ows/5874f50ee4b0a829a320bc4f?service=wms&request=getcapabilities&version=1.3.0</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <digform>\n <digtinfo>\n <formname>Web Coverage Service</formname>\n <formvern>1.0.0</formvern>\n <formcont>DOAI_CLSA_p2_1986</formcont>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://www.sciencebase.gov/catalogMaps/mapping/ows/5874f50ee4b0a829a320bc4f?service=wcs&request=getcapabilities&version=1.0.0</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20220421</metd>\n <metc>\n <cntinfo>\n <cntorgp>\n <cntorg>Northern Prairie Wildlife Research Center</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>Physical and mailing</addrtype>\n <address>8711 37th Street SE</address>\n <city>Jamestown</city>\n <state>ND</state>\n <postal>58401</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-701-253-5500</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standards for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <metac>It is strongly recommended that this metadata record is directly acquired from the distributor described above or from U.S. Geological Survey Science Data Catalog (http://data.usgs.gov/) or ScienceBase Catalog Service (https://www.sciencebase.gov).</metac>\n <metuc>Acknowledgment of U.S. Geological Survey Northern Prairie Wildlife Research Center as the metadata source would be appreciated. Please cite the original metadata when using summarized data herein or when using portions of the metadata record to create a similar record of slightly altered data, such as re-projection.</metuc>\n <metalang>En</metalang>\n </metainfo>\n</metadata>' |
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5. [Table3. Average-annual streamflow, runoff and baseflow, estimated for the period of record using six hydrograph-separation methods, for 312 gaged basins in the Northwestern Volcanic Aquifer Study Area, USA, 1904-2015](/catalog/folder/5c1d6e92e4b0708288ca1303)
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## Dates
Publication Date2019-02-04Start Date1904End Date2015
## Citation
Curtis, J.A., 2019, Average-annual streamflow, runoff and baseflow, estimated for the period of record using six hydrograph-separation methods, for 312 gaged basins in the Northwestern Volcanic Aquifer Study Area, USA, 1904-2015: U.S. Geological Survey data release, https://doi.org/10.5066/P9WWKST1.
## Summary
The U.S. Geological Survey’s Water Availability and Use Study Program (WAUSP) (https://water.usgs.gov/ogw/gwrp/activities/regional.html) supports quantitative assessments of groundwater availability in areas of critical importance. As part of a WAUSP study in the arid to semi-arid Northwest Volcanic Aquifer Study Area (NVASA), estimates of runoff and baseflow were determined for 312 streamflow-gaging stations from 1904 to 2015. Gages with complete water years (October to September) of continuous-streamflow record were used to partition streamflow into runoff and baseflow, which is that part of streamflow attributed to groundwater discharge. For each water year annual estimates of baseflow, runoff, and a base-flow index were determined \[...\]
## Summary
The U.S. Geological Survey’s Water Availability and Use Study Program (WAUSP) (https://water.usgs.gov/ogw/gwrp/activities/regional.html) supports quantitative assessments of groundwater availability in areas of critical importance. As part of a WAUSP study in the arid to semi-arid Northwest Volcanic Aquifer Study Area (NVASA), estimates of runoff and baseflow were determined for 312 streamflow-gaging stations from 1904 to 2015. Gages with complete water years (October to September) of continuous-streamflow record were used to partition streamflow into runoff and baseflow, which is that part of streamflow attributed to groundwater discharge. For each water year annual estimates of baseflow, runoff, and a base-flow index were determined using a series of automated hydrograph separation programs—PART, HYSEP, and BFI. These streamflow-hydrograph analysis methods are available in the U.S. Geological Survey Groundwater Toolbox (https://water.usgs.gov/ogw/gwtoolbox/), which is a graphical, mapping and analysis interface built within an open-source MapWindow geography information system in a Windows computing environment.
## Contacts
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[Jennifer A Curtis](/catalog/catalogParty/show?partyId=11769)
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:
[Jennifer A Curtis](/catalog/catalogParty/show?partyId=11769)
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[Pacific Region](/catalog/catalogParty/show?partyId=17393)
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## Purpose
As part of a U.S. Geological Survey groundwater availability study of the semi-arid to arid Northwest Volcanic Aquifer Study Area (NVASA), stream hydrographs were analyzed to identify patterns in hydrologic response and hypothesize about the influence of climate and geology as controlling factors.
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## Communities
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## Tags
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Jennifer A. Curtis</origin>\n <pubdate>2019</pubdate>\n <title>Average-annual streamflow, runoff and baseflow, estimated for the period of record using six hydrograph-separation methods, for 312 gaged basins in the Northwestern Volcanic Aquifer Study Area, USA, 1904-2015.</title>\n <geoform>tabular digital data</geoform>\n <onlink>https://doi.org/10.5066/P9WWKST1</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The U.S. Geological Survey\xe2\x80\x99s Water Availability and Use Study Program (WAUSP) (https://water.usgs.gov/ogw/gwrp/activities/regional.html) supports quantitative assessments of groundwater availability in areas of critical importance. As part of a WAUSP study in the arid to semi-arid Northwest Volcanic Aquifer Study Area (NVASA), estimates of runoff and baseflow were determined for 312 streamflow-gaging stations from 1904 to 2015. Gages with complete water years (October to September) of continuous-streamflow record were used to partition streamflow into runoff and baseflow, which is that part of streamflow attributed to groundwater discharge. For each water year annual estimates of baseflow, runoff, and a base-flow index were determined using a series of automated hydrograph separation programs\xe2\x80\x94PART, HYSEP, and BFI. These streamflow-hydrograph analysis methods are available in the U.S. Geological Survey Groundwater Toolbox (https://water.usgs.gov/ogw/gwtoolbox/), which is a graphical, mapping and analysis interface built within an open-source MapWindow geography information system in a Windows computing environment.</abstract>\n <purpose>As part of a U.S. Geological Survey groundwater availability study of the semi-arid to arid Northwest Volcanic Aquifer Study Area (NVASA), stream hydrographs were analyzed to identify patterns in hydrologic response and hypothesize about the influence of climate and geology as controlling factors.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>1904</begdate>\n <enddate>2015</enddate>\n </rngdates>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-124.1513</westbc>\n <eastbc>-112.3593</eastbc>\n <northbc>46.9062</northbc>\n <southbc>39.1533</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>USGS</themekt>\n <themekey>baseflow</themekey>\n <themekey>runoff</themekey>\n <themekey>volcanic aquifers</themekey>\n <themekey>hydrograph separation</themekey>\n <themekey>NVASA</themekey>\n <themekey>GWToolbox</themekey>\n <themekey>USGS Water Availability and Use Study Program</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5c1d6e92e4b0708288ca1303</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Oregon</placekey>\n <placekey>California</placekey>\n <placekey>Idaho</placekey>\n <placekey>NVASA</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Jennifer A Curtis</cntper>\n <cntorg>U.S. Geological Survey, PACIFIC REGION</cntorg>\n </cntperp>\n <cntpos>Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>716 UNIT E W Cedar Street</address>\n <city>Eureka</city>\n <state>CA</state>\n <postal>95501</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>707-442-3169</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Source data was checked using standard USGS review procedures.</attraccr>\n </attracc>\n <logic>All data were visually evaluated and reviewed to be hydrologically consistent and correct.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Ronald A. Sloto and Mich\xc3\xa8le Y. Crouse</origin>\n <pubdate>1996</pubdate>\n <title>HYSEP: A computer program for streamflow hydrograph separation and analysis</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>WaterResources\nInvestigations Report</sername>\n <issue>96-4040</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Lemoyne, Pennsylvania</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://water.usgs.gov/software/HYSEP/code/doc/hysep.pdf</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1996</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>HYSEP: Hydrograph Separation Method</srccitea>\n <srccontr>Hydrograph separation technique that was used.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Tony L. Wahl and Kenneth L. Wahl</origin>\n <pubdate>1988</pubdate>\n <title>BFI: A Computer Program for Determining an Index to Base Flow</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Lakewood, Colorado</pubplace>\n <publish>Bureau of Reclamation and U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://www.usbr.gov/tsc/techreferences/hydraulics_lab/pubs/PAP/PAP-0708.pdf</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1988</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>BFI: Hydrograph Separation Method</srccitea>\n <srccontr>Hydrograph separation technique that was used.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>A.T. Rutledge</origin>\n <pubdate>1993</pubdate>\n <title>Computer Programs for Describing the Recession of GroundWater Discharge and for Estimating Mean GroundWater Recharge and Discharge from Streamflow Records\xe2\x80\x94Update</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://pubs.usgs.gov/wri/1993/4121/report.pdf</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1993</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>PART: Hydrograph Separation Method</srccitea>\n <srccontr>Hydrograph separation technique that was used.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Barlow, P.M., Cunningham, W.L., Zhai, Tong, and Gray, Mark</origin>\n <pubdate>2015</pubdate>\n <title>U.S. Geological Survey Groundwater Toolbox, a graphical and mapping interface for analysis of hydrologic data (version 1.0) \xe2\x80\x94User guide for estimation of base flow, runoff, and groundwater recharge from streamflow data</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Techniques and Methods</sername>\n <issue>Book 3, Chapter B10</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://pubs.usgs.gov/tm/03/b10/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2015</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>USGS Groundwater Toolbox</srccitea>\n <srccontr>Date retrieval and hydrologic analysis</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S.Geological Survey</origin>\n <pubdate>2018</pubdate>\n <title>USGS National Water Information System (NWIS)</title>\n <geoform>vector digital data</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S.Geological Survey</publish>\n </pubinfo>\n <onlink>https://waterdata.usgs.gov/nwis</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>1904</begdate>\n <enddate>2015</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>NWIS</srccitea>\n <srccontr>Descriptive information for gaging stations and continuous records of mean daily streamflow used in hydrograph separation analysis.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Environmental Protection Agency (USEPA) and the U.S. Geological Survey (USGS)</origin>\n <pubdate>2012</pubdate>\n <title>National Hydrography Dataset Plus - NHDPlusV2.1</title>\n <geoform>tabular digital data</geoform>\n <onlink>http://www.horizon-systems.com/nhdplus/NHDPlusV2_home.php</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2012</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>NHDPlusV2</srccitea>\n <srccontr>Used to compute contributing area (seeTable1_NVASA_SW_gage_descriptions)</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>The mean daily values for streamflow for 312 gages were run through three computer models, which calculate daily, monthly and annual values of streamflow, base flow, and runoff for each water year of complete record. The first method is PART (Rutledge, 1993), which uses streamflow partitioning to estimate a daily record of baseflow. It is intended for analyzing a groundwater flow system that is characterized by diffuse areal recharge to the water table and groundwater discharge to a stream. The second computer program is HYSEP (Sloto and Crouse, 1996), which can be used to separate the hydrograph into baseflow and surface runoff components. There are three different methods associated with HYSEP: Fixed_interval, Sliding_interval, Local_minimum. The program also performs frequency and duration analyses on both components. The third computer program is BFI (Wahl and Wahl, 1998), which combines a local minimums analysis with a recession slope test. The program estimates the annual base flow volume and computes an annual baseflow index for multiple years of data. There are two methods associated with BFI: Standard and Modified. The two methods differ only in the test where they identify turning points (f) on the base flow hydrograph.</procdesc>\n <procdate>2017</procdate>\n </procstep>\n <procstep>\n <procdesc>Table3_NVASA_average_annual_streamflow_runoff_and_baseflow_estimates_1904_to_2015 was compiled to present average values of streamflow, runoff, and baseflow for each of the 312 gaged basins. The average values were calculated using a post-processing python script that averaged the annual estimates published in Table2_NVASA_annual_streamflow_runoff_and_baseflow_estimates_1904_to_2015 for each gaged basin for the period of record. The baseflow index for each method was calculated as baseflow (inches) divided by streamflow (inches) and provides an estimate of the percentage of streamflow contributed by baseflow.</procdesc>\n <procdate>2017</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Albers Conical Equal Area</mapprojn>\n <albers>\n <stdparll>29.5</stdparll>\n <stdparll>45.5</stdparll>\n <longcm>-96.0</longcm>\n <latprjo>23.0</latprjo>\n <feast>0.0</feast>\n <fnorth>0.0</fnorth>\n </albers>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.6096</absres>\n <ordres>0.6096</ordres>\n </coordrep>\n <plandu>meters</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>North_American_Datum_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Table3_NVASA_average_annual_streamflow_runoff_and_baseflow_estimates_1904_to_2015.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>USGS_site _ID</attrlabl>\n <attrdef>USGS_site _ID</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10172907</rdommin>\n <rdommax>14091500</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>USGS_station_name</attrlabl>\n <attrdef>USGS_station_name</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>USGS_station_name</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Period_of_record_WY</attrlabl>\n <attrdef>Period_of_record_WY</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Period_of_record_WY</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Year_ of_complete_record_analyzed</attrlabl>\n <attrdef>Year_ of_complete_record_analyzed</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>108</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Streamflow_inches</attrlabl>\n <attrdef>Streamflow_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>2684.47</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PART_bf_inches</attrlabl>\n <attrdef>PART_bf_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>2512.75</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PART_RO_inches</attrlabl>\n <attrdef>PART_RO_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>171.72</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PART_bf_index_%</attrlabl>\n <attrdef>PART_bf_index_%</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HYFIX_bf_inches</attrlabl>\n <attrdef>HYFIX_bf_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>2549.15</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HYFIX_RO_inches</attrlabl>\n <attrdef>HYFIX_RO_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>135.32</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HYFIX_bf_index_%</attrlabl>\n <attrdef>HYFIX_bf_index_%</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HYMIN_bf_inches</attrlabl>\n <attrdef>HYMIN_bf_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>2495.29</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HYMIN_RO_inches</attrlabl>\n <attrdef>HYMIN_RO_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>189.18</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HYMIN_bf_index_%</attrlabl>\n <attrdef>HYMIN_bf_index_%</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HYSLID_bf_inches</attrlabl>\n <attrdef>HYSLID_bf_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>2546.83</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HYSLID_RO_inches</attrlabl>\n <attrdef>HYSLID_RO_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>137.64</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HYSLID_bf_index_%</attrlabl>\n <attrdef>HYSLID_bf_index_%</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>100.0</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BFIstd_bf_inches</attrlabl>\n <attrdef>BFIstd_bf_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>1972.15</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BFIstd_RO_inches</attrlabl>\n <attrdef>BFIstd_RO_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>712.31</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BFIstd_bf_index_%</attrlabl>\n <attrdef>BFIstd_bf_index_%</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>99.64</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BFImod_bf_inches</attrlabl>\n <attrdef>BFImod_bf_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>1992.95</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BFImod_RO_inches</attrlabl>\n <attrdef>BFImod_RO_inches</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>691.52</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BFImod_bf_index_%</attrlabl>\n <attrdef>BFImod_bf_index_%</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>99.64</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9WWKST1</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200812</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Jennifer A Curtis</cntper>\n <cntorg>U.S. Geological Survey, PACIFIC REGION</cntorg>\n </cntperp>\n <cntpos>Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>716 UNIT E W Cedar Street</address>\n <city>Eureka</city>\n <state>CA</state>\n <postal>95501</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>707-442-3169</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Ratings and estimated provisional streamflow for streamgages in Virginia, water years 1991 through 2013](/catalog/item/58e67beae4b09da6799ac81c)
4. [Files for the James River Basin](/catalog/folder/59c27d86e4b091459a61d297)
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## Dates
Publication Date2018-07-26Start Date1990-10-01End Date2013-09-30
## Citation
Messinger, T., and Burgholzer, R.W., 2018, Ratings and estimated provisional streamflow for streamgages in Virginia, water years 1991 through 2013: U.S. Geological Survey data release, https://doi.org/10.5066/F72R3PXB.
## Summary
Estimated provisional streamflow values (Messinger and Burgholzer, 2017) for streamgages in James River Basin and the shifted, expanded ratings that were used to develop them are included in this dataset. This file contains source data, daily streamflow records and selected ratings that had been saved in the National Water Information Service database for water years 1991-2013. Microsoft Excel formulas that were used to compute the estimated provisional streamflow (AltFlow) tables are included, and may be used to extend the AltFlow record following the procedure described by Messinger and Burgholzer (2017), in Appendix 2. This release also contains the existing AltFlow record for the same streamgages in comma-separated variable (csv) \[...\]
## Summary
Estimated provisional streamflow values (Messinger and Burgholzer, 2017) for streamgages in James River Basin and the shifted, expanded ratings that were used to develop them are included in this dataset. This file contains source data, daily streamflow records and selected ratings that had been saved in the National Water Information Service database for water years 1991-2013. Microsoft Excel formulas that were used to compute the estimated provisional streamflow (AltFlow) tables are included, and may be used to extend the AltFlow record following the procedure described by Messinger and Burgholzer (2017), in Appendix 2. This release also contains the existing AltFlow record for the same streamgages in comma-separated variable (csv) format.
## Contacts
Point of Contact
:
[Terence Messinger](/catalog/catalogParty/show?partyId=6930)
Originator
:
[Terence Messinger](/catalog/catalogParty/show?partyId=6930),
[Robert W Burgholzer](/catalog/catalogParty/show?partyId=Robert+W+Burgholzer)
Metadata Contact
:
[Terence Messinger](/catalog/catalogParty/show?partyId=6930)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
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## Purpose
These datasets were developed to assess the reliability of provisional streamflow data for Virginia streamgages in real time. A companion report, Messinger, T., and Burgholzer, R.W., 2018, Rating stability and frequency and magnitude of shifts for streamgages in Virginia through 2013: U.S. Geological Survey Scientific Investigations Report, 91 pages, https://doi.org/10.3133/sir20175137, describes their development, validation, and some of their limits.
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- Expanded shifted ratings and estimated provisional streamflow for streamgages in the James River Basin in Virginia, water years 1991 through 2013
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Terence Messinger</origin>\n <origin>Robert W. Burgholzer</origin>\n <pubdate>2018</pubdate>\n <title>Expanded shifted ratings and estimated provisional streamflow for streamgages in the James River Basin in Virginia, water years 1991 through 2013</title>\n <geoform>Microsoft Excel files</geoform>\n <pubinfo>\n <pubplace>Richmond, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F72R3PXB</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Terence Messinger</origin>\n <origin>Robert W. Burgholzer</origin>\n <pubdate>2017</pubdate>\n <title>Rating stability and frequency and magnitude of shifts for streamgages in Virginia through 2013</title>\n <geoform>U.S. Geological Survey Scientific Investigations Report</geoform>\n <pubinfo>\n <pubplace>Richmond, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/sir20175137</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Estimated provisional streamflow values (Messinger and Burgholzer, 2017) for streamgages in James River Basin and the shifted, expanded ratings that were used to develop them are included in this dataset. This file contains source data, daily streamflow records and selected ratings that had been saved in the National Water Information Service database for water years 1991-2013. Microsoft Excel formulas that were used to compute the estimated provisional streamflow (AltFlow) tables are included, and may be used to extend the AltFlow record following the procedure described by Messinger and Burgholzer (2017), in Appendix 2. This release also contains the existing AltFlow record for the same streamgages in comma-separated variable (csv) format.</abstract>\n <purpose>These datasets were developed to assess the reliability of provisional streamflow data for Virginia streamgages in real time. A companion report, Messinger, T., and Burgholzer, R.W., 2017, Rating stability and frequency and magnitude of shifts for streamgages in Virginia through 2013: U.S. Geological Survey Scientific Investigations Report, xx pages, http://dx.doi.org/x., describes their development, validation, and some of their limits.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>19901001</begdate>\n <enddate>20130930</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-83.891601562696</westbc>\n <eastbc>-75.168457031794</eastbc>\n <northbc>39.18509403679</northbc>\n <southbc>36.407668573338</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>none</themekt>\n <themekey>Streamflow</themekey>\n <themekey>Stage-discharge relationship</themekey>\n <themekey>Rating stability</themekey>\n <themekey>Streamflow uncertainty</themekey>\n <themekey>Streamgage reliability</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:59c27d86e4b091459a61d297</themekey>\n </theme>\n <place>\n <placekt>none</placekt>\n <placekey>Virginia</placekey>\n <placekey>James River Basin</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Terence Messinger</cntper>\n <cntorg>Northeast Region</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>11 Dunbar St</address>\n <city>Charleston</city>\n <state>WV</state>\n <postal>25301</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>304-347-5130 x270</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Virginia Department of Environmental Quality</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Rating tables were retrieved from NWIS. Although no errors appear to have been introduced by the process used to compile them, an unknown number of errors were present in the original tables in NWIS and were not corrected for this study. AltFlow data were assessed for consistency, and summaries of AltFlow tables were assessed for relations to subjective and quantifiable aspects of rating stability as described by Messinger and Burgholzer (2017).</attraccr>\n </attracc>\n <logic>Development and validation of these datasets, and some of their limitations, are described by Messinger and Burgholzer (2017). Several important sources of error in provisional flow data that are corrected in final flow data are missed by the process used to develop AltFlows. Most important and common are errors that are not caused by changes to the control and therefore are not corrected by changing ratings or shifts. These include ice-affected flows or missing records, which generally are estimated by hydrographic comparison to other streamgages. These errors might be corrected or at least adjusted, or daily flows might be estimated for the period that was in error. \nReliability of the stage record is equal in importance with rating stability in their effects on the reliability of a site\xe2\x80\x99s flow data in real time. The likelihood of plugged intakes or buried or exposed orifices is a function of the frequency of sediment deposition at a given point in a stream and, as such, is a characteristic of a given site. A streamgage may have a stable control but still be prone to recurring problems with the stage record that result in unreliable provisional data. The method developed to estimate Qprev in this study does not account for problematic stage records. \nAnother difference between provisional and approved data not accounted for by the AltFlow procedure is that expanded shifted ratings were selected as snapshots at the times when flow was measured and the tens of thousands of other rating changes were ignored. Days when measurements were made have no particular relevance to the beginning or ending of shifts and rating changes. As discussed previously, about one-third (7,346 of 23,126) of shift entries began on days when flow was measured, and of these, 2,679 were apparently procedural entries for shifts that were implemented in multiple steps throughout the day. Forty-one percent of unique shifts (6,842 of 16,853) began on days of peaks, either floods or high-flow pulses, and another 7 percent (1,144 of 16,853) began the day after a peak. Many of the shifts that began on days when measurements were made began on days of peaks and high-flow pulses. Prorating certain types of shifts through time is routine; the AltFlow procedure does not account for these changed shifts. As a result, the AltFlow time series is unlikely to have much relation to provisional data as they initially appeared on the web, with the possible exception of the end of the study period. AltFlows do, however, provide information on changes in the shifted rating from site visit to site visit, and it provides information on how that shifted rating changed throughout the range of observed flows.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract and by Messinger and Burgholzer (2017).</complete>\n <posacc>\n <horizpa>\n <horizpar>No horizontal positional information is provided in this dataset.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No vertical positional information is provided in this dataset.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2013</pubdate>\n <title>National Water Information System</title>\n <geoform>rdb</geoform>\n <pubinfo>\n <pubplace>Richmond, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://waterdata.usgs.gov/nwis</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Expanded shifted streamgage rating tables</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19901001</begdate>\n <enddate>20130930</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Data were retrieved from NWIS during 2015. Flow data and ratings may have been corrected since then.</srccurr>\n </srctime>\n <srccitea>Ratings</srccitea>\n <srccontr>Expanded shifted ratings were obtained from internal NWIS retrievals that were not available to the public. The acquisition and use of these ratings is described by Messinger and Burgholzer (2017).</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2013</pubdate>\n <title>National Water Information System</title>\n <geoform>rdb (relational database files)</geoform>\n <pubinfo>\n <pubplace>Richmond, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://waterdata.usgs.gov/nwis</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Tabular daily mean streamflow data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19901001</begdate>\n <enddate>20130930</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Data were retrieved from NWIS during 2015. Flow data and ratings may have been corrected since then.</srccurr>\n </srctime>\n <srccitea>Flow</srccitea>\n <srccontr>Daily mean flow data were obtained from NWIS. The use of flow data in developing AltFlow tables is described by Messinger and Burgholzer (2017). Data were published annually throughout the study period.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Data processing was complex and is is documented in detail by Messinger and Burgholzer (2017). Processing steps included data retrieval from NWIS, rating aggregation using UNIX shell scripts, AltFlow computation using Microsoft Excel, and validation using Microsoft Excel and R.</procdesc>\n <procdate>2017</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Streamgage locations are available through the National Water Information System.</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>AltFlows_James.xlsx, worksheet AltFlows</enttypl>\n <enttypd>The entity is a spreadsheet table, "AltFlows," that contains estimated provisional streamflow data, as described by Messinger, Terence., and Burgholzer, R.W., 201x, Rating stability, and frequency and magnitude of shifts, for streamgages in Virginia through 2013: U.S. Geological Survey Scientific Investigations Report 20XX\xe2\x80\x93XXXX, xx pages, http://dx.doi.org/x.</enttypd>\n <enttypds>Terence Messinger</enttypds>\n </enttyp>\n <attr>\n <attrlabl>site_no</attrlabl>\n <attrdef>USGS streamgage number assigned according to criteria described at https://help.waterdata.usgs.gov/faq/sites/do-station-numbers-have-any-particular-meaning.</attrdef>\n <attrdefs>USGS NWIS</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>USGS downstream order numbers</codesetn>\n <codesets>NWIS Site Information Inventory; https://waterdata.usgs.gov/nwis/inventory</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>date</attrlabl>\n <attrdef>The day of the year as specified by a string of numerals. The one or two numerals before the first slash give the month, the two numerals between the slashes give the date of the month, and the final four numerals give the year.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10/04/1990</rdommin>\n <rdommax>09/30/2013</rdommax>\n <attrunit>Date</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Date, formatted as integer</attrlabl>\n <attrdef>The day of the year as specified by a string of numerals. The first four numerals give the year, the second two numerals give the month, and the final two numerals give the date of the month. The column is populated with a formula that refers to the "date" column.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>19901004</rdommin>\n <rdommax>20130930</rdommax>\n <attrunit>Date</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Valid start date</attrlabl>\n <attrdef>This date was the earliest date for which both base ratings and shifts were available. Both shifts and ratings were assumed to be continuously available following this date.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>19901001</rdommin>\n <rdommax>20110621</rdommax>\n <attrunit>Date</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Qmeas</attrlabl>\n <attrdef>Daily mean streamflow retrieved from NWIS during 2015</attrdef>\n <attrdefs>USGS NWIS</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>130000</rdommax>\n <attrunit>Cubic feet per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>qualifier</attrlabl>\n <attrdef>Data-value qualification codes retrieved from NWIS during 2015</attrdef>\n <attrdefs>USGS NWIS</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>NWIS data-value qualification codes</codesetn>\n <codesets>NWIS, at https://help.waterdata.usgs.gov/codes-and-parameters/daily-value-qualification-code-dv_rmk_cd.</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lookup</attrlabl>\n <attrdef>A string formed by concatenating the letter "Q," a period, the site_no, another period, and the date formatted as an integer, in order to specify unique site-date combinations.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>An alphanumeric string formed by concatenating the letter "Q," a period, the site_no, another period, and the date formatted as an integer.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Expanded rating code</attrlabl>\n <attrdef>The value from the "Lookup" column for the dates when a flow measurement was made and a retrieval of the expanded shifted rating table was desired.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>An alphanumeric string formed by concatenating the letter "Q," a period, the site_no, another period, and the date formatted as an integer.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NewSite</attrlabl>\n <attrdef>The column \xe2\x80\x9cNewSite\xe2\x80\x9d describes whether each row represents the first row for a new site when the table is sorted by station number then by date. The column was developed in order to make the table simpler to filter and troubleshoot. It is populated with an "IF" statement. This statement is dependent on the sort order of the table and requires that the table be sorted first by site_no and then by date in chronological order.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>New Site</edomv>\n <edomvd>The first value for a new site when the table is sorted first by site_no, then by date</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Same site</edomv>\n <edomvd>Except for the first value, any other possible value for a site when the table is sorted first by site_no, then by date.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rating lookup code, Qsame</attrlabl>\n <attrdef>The lookup code for the appropriate expanded shifted rating to compute Qsame. It is populated using an "IF" statement that checks the previous two columns. If the column \xe2\x80\x9cExpanded rating code\xe2\x80\x9d contains a non-blank value, the statement returns that value. If the column \xe2\x80\x9cNewSite\xe2\x80\x9d indicates the site is new, it returns the value \xe2\x80\x9cNo rating available\xe2\x80\x9d until the first rating is available. Otherwise, the statement copies the previous value in this column. Like the statement in the column \xe2\x80\x9cNewSite,\xe2\x80\x9d this statement is dependent on the sort order of the table, and requires that the table be sorted first by site_no, then chronologically.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>An alphanumeric string formed by concatenating the letter "Q," a period, the site_no, another period, and the date formatted as an integer.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stage</attrlabl>\n <attrdef>A derived value for stage. It is the stage value corresponding to the flow value closest to Qmeas in the relevant expanded shifted rating. The column is populated with a reverse lookup from the rating tables using the INDEX, MATCH, and OFFSET commands.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-1.00</rdommin>\n <rdommax>27.30</rdommax>\n <attrunit>Feet</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Null values are present for fields for which a valid value could not be computed during the period when valid values should have been possible.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Qsame</attrlabl>\n <attrdef>The flow value corresponding to the "Stage" value in the relevant rating table. Qsame was developed to remove rounding error introduced in the lookup process in order to improve comparisons of the changes in rating tables in effect from the time of one flow measurement to the next. A direct comparison between Qmeas and Qprev often included differences in flow for the same value of Stage, even if the rating was unchanged. The column is populated with a lookup from the rating tables using the INDEX and MATCH commands.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>130000</rdommax>\n <attrunit>Cubic feet per second</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Null values are present for fields for which a valid value could not be computed during the period when valid values should have been possible.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Difference(Qsame)</attrlabl>\n <attrdef>The column \xe2\x80\x9cDifferenceQsame\xe2\x80\x9d gives the difference between Qmeas and Qsame. It was obtained by subtracting Qsame from Qmeas. This column is populated with a formula that carries our this operation. This column was developed for troubleshooting.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-1.1</rdommin>\n <rdommax>6900</rdommax>\n <attrunit>Cubic feet per second</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Null values are present for fields for which a valid value could not be computed during the period when valid values should have been possible.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rating lookup code, Qprev</attrlabl>\n <attrdef>The column \xe2\x80\x9cRating lookup code, Qprev\xe2\x80\x9d contains the lookup code for the appropriate expanded shifted rating to compute Qprev, the flow value that would have been obtained had the expanded shifted rating in effect at the time of the previous flow measurement remained in effect. It is populated using an IF statement that checks \xe2\x80\x9cExpanded rating code\xe2\x80\x9d and \xe2\x80\x9cRating Lookup Code, Qsame.\xe2\x80\x9d If the column \xe2\x80\x9cRating Lookup Code, Qsame\xe2\x80\x9d contains the value \xe2\x80\x9cNo rating available,\xe2\x80\x9d the statement returns that value. For values in that column that are not equal to values in the previous cell in that same column, it returns the value from that previous cell. Otherwise, the statement copies the value in this previous cell of its own column. Like the statements in the columns \xe2\x80\x9cNewSite\xe2\x80\x9d and \xe2\x80\x9cRating Lookup Code, Qsame,\xe2\x80\x9d this statement is dependent on the sort order of the table and requires that the table be sorted first by site_no, then chronologically.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>An alphanumeric string formed by concatenating the letter "Q," a period, the site_no, another period, and the date formatted as an integer.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Qprev</attrlabl>\n <attrdef>The flow value that would have been obtained from the expanded shifted rating in effect at the time of the previous flow measurement, had it remained in effect. The column is populated through a lookup from the rating tables using the INDEX and MATCH commands. The value from \xe2\x80\x9cRating lookup code, Qprev\xe2\x80\x9d was used to find the appropriate column in the table of ratings, then the flow value from that column on the row matching the value for Stage was returned.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>130000</rdommax>\n <attrunit>Cubic feet per second</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Null values are present for fields for which a valid value could not be computed during the period when valid values should have been possible.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DifferenceQprev</attrlabl>\n <attrdef>The difference between Qmeas and Qprev. It was obtained by subtracting Qprev from Qmeas. This column is populated with a formula that performs this operation. This column was developed for troubleshooting.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-6300</rdommin>\n <rdommax>6900</rdommax>\n <attrunit>Cubic feet per second</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Null values are present for fields for which a valid value could not be computed during the period when valid values should have been possible.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Qprev - Qsame</attrlabl>\n <attrdef>Qsame subtracted from Qprev</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-2700</rdommin>\n <rdommax>6300</rdommax>\n <attrunit>cubic feet per second</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Null values are present for cells in fields where either Qsame, Qprev, or both are missing.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Check for hiatus</attrlabl>\n <attrdef>The column \xe2\x80\x9cCheck for hiatus\xe2\x80\x9d checks for a hiatus in record. It is populated with an IF statement that, within the records for a given streamgage, checks whether successive values in the \xe2\x80\x9cDate\xe2\x80\x9d column are more than one day in magnitude; when they are, the row in question is flagged as representing a hiatus in record.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Hiatus</edomv>\n <edomvd>Values following a hiatus in the streamflow record, or the initial values after a streamgage has been discontinued then reactivated. Daily mean streamflow was not reported for this streamgage on the previous date.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Null or blank</edomv>\n <edomvd>Daily mean streamflow was reported for this streamgage on the preceding day.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Comment</attrlabl>\n <attrdef>The column \xe2\x80\x9cComments\xe2\x80\x9d contains comments, principally relating to a hiatus in record or other reason for values to have been deleted.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>A text comment describing some unusual condition for this field. Most comments describe a reason for deleting one or more values in the field.</udom>\n </attrdomv>\n <attrdomv>\n <udom>Null or blank cells represent fields with no unusual conditions that required a specific explanation.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>AltFlows_James.xlsx, worksheet Ratings</enttypl>\n <enttypd>A spreadsheet table that includes all shifted, expanded ratings from streamgages in the James River Basin in Virginia which were active on September 30, 2013.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Stage</attrlabl>\n <attrdef>Water level relative to local streamgage datum.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-1.48</rdommin>\n <rdommax>46.02</rdommax>\n <attrunit>Feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Q.xxxxxxxx.yyyymmdd</attrlabl>\n <attrdef>The expanded shifted rating in effect at the streamgage represented by the site_no "xxxxxxxx" on the date represented by "yyyymmdd." These are the same codes that populate the columns "Rating lookup code, Qsame" and "Rating lookup code, Qprev" in the "AltFlows" table. Detailed definitions for each of the columns are provided in the "Definitions of column headings" tab.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>315000</rdommax>\n <attrunit>Cubic feet per second.</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Null values are present if the rating is undefined at that stage.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>AltFlows_James.xlsx, worksheet Definition of column headings</enttypl>\n <enttypd>A spreadsheet table in which all column headings from "Ratings" are listed and defined, and their units are given. Minimum and maximum values are provided.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Column heading</attrlabl>\n <attrdef>The text string in the first row of each column in AltFlows_James.xlsx, worksheet Ratings</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Text strings that refer to the content found in each column.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Definition</attrlabl>\n <attrdef>Text describing the meaning of each value in the "column heading" column.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>Textual definitions for each value in the "column heading" column.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Minimum</attrlabl>\n <attrdef>The minimum value for each column in the "Ratings" table.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-1.48</rdommin>\n <rdommax>486</rdommax>\n <attrunit>Stage was reported in feet; all other columns are in cubic feet per second.</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Maximum</attrlabl>\n <attrdef>The maximum value for each column in the "Ratings" table.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>46.02</rdommin>\n <rdommax>141000</rdommax>\n <attrunit>Stage was reported in feet; all other columns are in cubic feet per second.</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Unit</attrlabl>\n <attrdef>Unit of measure for the values found in each column from the "Ratings" table.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Feet</edomv>\n <edomvd>Plural of foot; a unit of length equal to 12 inches or 0.3048 meters.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Flow, in cubic feet per second</edomv>\n <edomvd>Discharge of a volume of water per unit of time; units are equal to 448.83 gallons per minute or 0.0283168 cubic meters per second.</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>AltFlow_James.csv</enttypl>\n <enttypd>AltFlow (Messinger and Burgholzer, 2017) values selected from the preceding Microsoft Excel file, but as values only, not formulas, and in a smaller file.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>site_no</attrlabl>\n <attrdef>USGS streamgage number assigned according to criteria described at https://help.waterdata.usgs.gov/faq/sites/do-station-numbers-have-any-particular-meaning. The leading zero is part of the streamgage number. When importing csv files, many software packages will delete the leading zero from the streamgage number by default unless data users take software-specific steps to protect it.</attrdef>\n <attrdefs>USGS NWIS</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>USGS downstream order numbers</codesetn>\n <codesets>NWIS Site Information Inventory; https://waterdata.usgs.gov/nwis/inventory</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Date, formatted as integer</attrlabl>\n <attrdef>The day of the year as specified by a string of numerals. The first four numerals give the year, the second two numerals give the month, and the final two numerals give the date of the month. The column is populated with a formula that refers to the "date" column.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>19901004</rdommin>\n <rdommax>20130930</rdommax>\n <attrunit>Date</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Qmeas</attrlabl>\n <attrdef>Daily mean streamflow retrieved from NWIS during 2015</attrdef>\n <attrdefs>USGS NWIS</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>130000</rdommax>\n <attrunit>Cubic feet per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>qualifier</attrlabl>\n <attrdef>Data-value qualification codes retrieved from NWIS during 2015</attrdef>\n <attrdefs>USGS NWIS</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>NWIS data-value qualification codes</codesetn>\n <codesets>NWIS, at https://help.waterdata.usgs.gov/codes-and-parameters/daily-value-qualification-code-dv_rmk_cd.</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stage</attrlabl>\n <attrdef>A derived value for stage. It is the stage value corresponding to the flow value closest to Qmeas in the relevant expanded shifted rating.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-1.00</rdommin>\n <rdommax>27.30</rdommax>\n <attrunit>Feet</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Null values are present for fields for which a valid value could not be computed during the period when valid values should have been possible.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Qsame</attrlabl>\n <attrdef>The flow value corresponding to the "Stage" value in the relevant rating table. Qsame was developed to remove rounding error introduced in the lookup process in order to improve comparisons of the changes in rating tables in effect from the time of one flow measurement to the next. A direct comparison between Qmeas and Qprev often included differences in flow for the same value of Stage, even if the rating was unchanged.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>130000</rdommax>\n <attrunit>Cubic feet per second</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Null values are present for fields for which a valid value could not be computed during the period when valid values should have been possible.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Qprev</attrlabl>\n <attrdef>The flow value that would have been obtained from the expanded shifted rating in effect at the time of the previous flow measurement, had it remained in effect.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>130000</rdommax>\n <attrunit>Cubic feet per second</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Null values are present for fields for which a valid value could not be computed during the period when valid values should have been possible.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Qprev - Qsame</attrlabl>\n <attrdef>Qsame subtracted from Qprev</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-2700</rdommin>\n <rdommax>6300</rdommax>\n <attrunit>cubic feet per second</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Null values are present for cells in fields where either Qsame, Qprev, or both are missing.</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey - ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.</distliab>\n <techpreq>These files contain data available in Microsoft Excel file format. The user must have software capable of using these files. Computation of formulas in the files has been checked only in Microsoft Excel 2010.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Terence Messinger</cntper>\n <cntorg>Northeast Region</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>11 Dunbar Street</address>\n <city>Charleston</city>\n <state>WV</state>\n <postal>25301</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>304-347-5130 x270</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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3. [Target-Chemical Concentration Results of Mixed-Organic/Inorganic Chemical Exposures in Puerto Rico Tapwater, 2017 to 2018](/catalog/folder/5d3f0cd6e4b01d82ce8d9046)
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## Dates
Publication Date2021-05-19Start Date2017-10-01End Date2018-12-31
## Citation
Romanok, K.M., Breitmeyer, S.E., Bradley, P.M., and Padilla, I.Y., 2021, Target-Chemical Concentration Results of Mixed-Organic/Inorganic Chemical Exposures in Puerto Rico Tapwater, 2017 to 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9EQS5CS.
## Summary
This dataset provides the water-quality results for organic and inorganic concentrations analyzed from samples collected at domestic and commercial tapwater faucets and one spring, sourced in Puerto Rico. Samples were collected in October, 2017 and August and December, 2018 from 19 locations. Samples were analyzed at various U.S. Geological Survey laboratories: the National Water Quality Laboratory in Denver, Colorado for organic compounds; the Redox Chemistry Laboratory in Boulder, Colorado for inorganic constituents; the Organic Geochemistry Laboratory in Lawrence, Kansas for microcystin and pesticides including glyphosate and atrazine; the Organic Chemistry Research Laboratory in Sacramento, California for disinfection byproducts; \[...\]
## Summary
This dataset provides the water-quality results for organic and inorganic concentrations analyzed from samples collected at domestic and commercial tapwater faucets and one spring, sourced in Puerto Rico. Samples were collected in October, 2017 and August and December, 2018 from 19 locations. Samples were analyzed at various U.S. Geological Survey laboratories: the National Water Quality Laboratory in Denver, Colorado for organic compounds; the Redox Chemistry Laboratory in Boulder, Colorado for inorganic constituents; the Organic Geochemistry Laboratory in Lawrence, Kansas for microcystin and pesticides including glyphosate and atrazine; the Organic Chemistry Research Laboratory in Sacramento, California for disinfection byproducts; and at Michigan Microbiological Research Laboratory in Lansing, Michigan for microbiological bacteria cell counts. Additionally, samples were analyzed for per- and polyfluoroalkyl substances at the Colorado School of Mines in Golden, Colorado and for phthalates at the University of Puerto Rico, Mayaguez.
## Contacts
Point of Contact
:
[Kristin M Romanok](/catalog/catalogParty/show?partyId=8768)
Originator
:
[Kristin M Romanok](/catalog/catalogParty/show?partyId=8768),
[Sara E Breitmeyer](/catalog/catalogParty/show?partyId=67549),
[Paul M Bradley](/catalog/catalogParty/show?partyId=1083),
[Ingrid Y Padilla](/catalog/catalogParty/show?partyId=45771)
Metadata Contact
:
[Kristin M Romanok](/catalog/catalogParty/show?partyId=8768)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[South Atlantic Water Science Center](/catalog/catalogParty/show?partyId=72867)
USGS Mission Area
:
[Ecosystems](/catalog/catalogParty/show?partyId=Ecosystems)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5d3f0cd6e4b01d82ce8d9046?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5d3f0cd6e4b01d82ce8d9046?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5d3f0cd6e4b01d82ce8d9046?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
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| | | | |
| --- | --- | --- | --- |
| TW2018\_PR\_metadata.xml<br>“Metadata”<br>_Original FGDC Metadata_ | View | 93.28 KB | application/fgdc+xml |
| TW2018\_PR\_Table1\_SiteInfo.txt<br>“Table 1: Site information” | | 2.23 KB | text/plain |
| TW2018\_PR\_Table2\_Methods.txt<br>“Table 2: Methods information” | | 68.67 KB | text/plain |
| TW2018\_PR\_Table3\_SynopticInorganics.txt<br>“Table 3: Results (synoptic inorganics)” | | 3.27 KB | text/plain |
| TW2018\_PR\_Table4\_SynopticOrganics.txt<br>“Table 4: Results (synoptic organics)” | | 7.76 KB | text/plain |
| TW2018\_PR\_Table5\_TemporalInorganics.txt<br>“Table 5: Results (temporal inorganics)” | | 3.42 KB | text/plain |
| TW2018\_PR\_Table6\_TemporalOrganics.txt<br>“Table 6: Results (temporal organics)” | | 4.69 KB | text/plain |
| TW2018\_PR\_Table7\_TemporalMicrobiology.txt<br>“Table 7: Results (temporal microbiology)” | | 710 Bytes | text/plain |
| TW2018\_PR\_Table8\_QA\_FieldBlanks.txt<br>“Table 8: QA (field blanks)” | | 1.12 KB | text/plain |
| TW2018\_PR\_Table9\_QA\_SurrogateRecoveries.txt<br>“Table 9: QA (surrogate recoveries)” | | 16.86 KB | text/plain |
| TW2018\_PR\_Table10\_PostMaria.txt<br>“Table 10: Results (Post-Maria organics)” | | 4.58 KB | text/plain |
| TW2018\_PR\_Table11\_Estrogenicity.txt<br>“Table 11: Results (estrogenicity)” | | 1.45 KB | text/plain |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Paul M. Bradley, Ingrid Y. Padilla, Kristin M. Romanok, Kelly L. Smalling, Michael J. Focazio, Sara E. Breitmeyer, Mary C. Cardon, Justin M. Conley, Nicola Evans, Carrie E. Givens, James L. Gray, L. Earl Gray, Phillip C. Hartig, Christopher P. Higgins, Michelle L. Hladik, Luke R. Iwanowicz, Rachael F. Lane, Keith A. Loftin, R. Blaine McCleskey, Carrie A. McDonough, Elizabeth Medlock-Kakaley, Shannon Meppelink, Christopher P. Weis, Vickie S. Wilson, Pilot-Scale Expanded Assessment of Inorganic and Organic Tapwater Exposures and Predicted Effects in Puerto Rico, USA, Science of The Total Environment, 2021, 147721, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2021.147721. | [https://doi.org/10.1016/j.scitotenv.2021.147721](https://doi.org/10.1016/j.scitotenv.2021.147721 "https://doi.org/10.1016/j.scitotenv.2021.147721") |
## Purpose
This project seeks to describe potential exposure to un-regulated and regulated chemical contaminants found in tapwater which is sourced from private and public drinking water sources in Puerto Rico.
## [Map](/catalog/item/imap/5d3f0cd6e4b01d82ce8d9046)
[](/catalog/item/imap/5d3f0cd6e4b01d82ce8d9046)
## Communities
- USGS Data Release Products
## Tags
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Theme
- [contaminant mixtures](/catalog/items?q=&filter=tags%3Dcontaminant+mixtures "contaminant mixtures (contaminant mixtures, Theme, None)")
- [exposure](/catalog/items?q=&filter=tags%3Dexposure "exposure (exposure, Theme, None)")
- [human health](/catalog/items?q=&filter=tags%3Dhuman+health "human health (human health, Theme, None)")
- [inorganics](/catalog/items?q=&filter=tags%3Dinorganics "inorganics (inorganics, Theme, None)")
- [organics](/catalog/items?q=&filter=tags%3Dorganics "organics (organics, Theme, None)")
- [point of use](/catalog/items?q=&filter=tags%3Dpoint+of+use "point of use (point of use, Theme, None)")
- [tapwater](/catalog/items?q=&filter=tags%3Dtapwater "tapwater (tapwater, Theme, None)")
Place
- [Puerto Rico](/catalog/items?q=&filter=tags%3DPuerto+Rico "Puerto Rico (Puerto Rico, Place, None)")
- [World](/catalog/items?q=&filter=tags%3DWorld "World (World, Place, None)")
USGS Scientific Topic Keyword
- [Environmental Health](/catalog/items?q=&filter=tags%3DEnvironmental+Health "Environmental Health (Environmental Health, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9EQS5CS |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Kristin M. Romanok</origin>\n <origin>Sara E. Breitmeyer</origin>\n <origin>Paul M. Bradley</origin>\n <origin>Ingrid Y. Padilla</origin>\n <pubdate>20210519</pubdate>\n <title>Target-Chemical Concentration Results of Mixed-Organic/Inorganic Chemical Exposures in Puerto Rico Tapwater, 2017 to 2018</title>\n <geoform>tabular digital data</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey data release</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9EQS5CS</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Paul M. Bradley</origin>\n <origin>Ingrid Y. Padilla</origin>\n <origin>Kristin M. Romanok</origin>\n <origin>Kelly L. Smalling</origin>\n <origin>Michael J. Focazio</origin>\n <origin>Sara E. Breitmeyer</origin>\n <origin>Mary C. Cardon</origin>\n <origin>Justin M. Conley</origin>\n <origin>Nicola Evans</origin>\n <origin>Carrie E. Givens</origin>\n <origin>James L. Gray</origin>\n <origin>L. Earl Gray</origin>\n <origin>Phillip C. Hartig</origin>\n <origin>Christopher P. Higgins</origin>\n <origin>Michelle L. Hladik</origin>\n <origin>Rachael F. Lane</origin>\n <origin>Keith A. Loftin</origin>\n <origin>R. Blaine McCleskey</origin>\n <origin>Carrie A. McDonough</origin>\n <origin>Elizabeth Medlock-Kakaley</origin>\n <origin>Shannon Meppelink</origin>\n <origin>Christopher P. Weis</origin>\n <origin>Vickie S. Wilson</origin>\n <pubdate>2021</pubdate>\n <title>Pilot-scale assessment of inorganic and organic tapwater exposures and predicted effects in Puerto Rico, USA</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Science of the Total Environment</publish>\n </pubinfo>\n <onlink>https://doi.org/10.1016/j.scitotenv.2021.147721</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This dataset provides the water-quality results for organic and inorganic concentrations analyzed from samples collected at domestic and commercial tapwater faucets and one spring, sourced in Puerto Rico. Samples were collected in October, 2017 and August and December, 2018 from 19 locations. Samples were analyzed at various U.S. Geological Survey laboratories: the National Water Quality Laboratory in Denver, Colorado for organic compounds; the Redox Chemistry Laboratory in Boulder, Colorado for inorganic constituents; the Organic Geochemistry Laboratory in Lawrence, Kansas for microcystin and pesticides including glyphosate and atrazine; the Organic Chemistry Research Laboratory in Sacramento, California for disinfection byproducts; and at Michigan Microbiological Research Laboratory in Lansing, Michigan for microbiological bacteria cell counts. Additionally, samples were analyzed for per- and polyfluoroalkyl substances at the Colorado School of Mines in Golden, Colorado and for phthalates at the University of Puerto Rico, Mayaguez.</abstract>\n <purpose>This project seeks to describe potential exposure to un-regulated and regulated chemical contaminants found in tapwater which is sourced from private and public drinking water sources in Puerto Rico.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20171001</begdate>\n <enddate>20181231</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-67.6428</westbc>\n <eastbc>-65.1215</eastbc>\n <northbc>18.8075</northbc>\n <southbc>17.6545</southbc>\n </bounding>\n <descgeog>World</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>contaminant mixtures</themekey>\n <themekey>exposure</themekey>\n <themekey>human health</themekey>\n <themekey>inorganics</themekey>\n <themekey>organics</themekey>\n <themekey>point of use</themekey>\n <themekey>tapwater</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d3f0cd6e4b01d82ce8d9046</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>World</placekey>\n <placekey>Puerto Rico</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Kristin Romanok</cntper>\n <cntorg>U.S. Geological Survey, Northeast Region</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>3450 Princeton Pike</address>\n <city>Lawrenceville</city>\n <state>NJ</state>\n <postal>08648</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>609-771-3952</cntvoice>\n <cntfax>609-771-3915</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <crossref>\n <citeinfo>\n <origin>Kristin M. Romanok</origin>\n <origin>Dana W. Kolpin</origin>\n <origin>Shannon M. Meppelink</origin>\n <origin>Maria Argos</origin>\n <origin>Juliane B. Brown</origin>\n <origin>Michael J. Devito</origin>\n <origin>Julie E. Dietze</origin>\n <origin>Carrie E. Givens</origin>\n <origin>James L. Gray</origin>\n <origin>Christopher P. Higgins</origin>\n <origin>Michelle L. Hladik</origin>\n <origin>Luke R. Iwanowicz</origin>\n <origin>Keith A. Loftin</origin>\n <origin>R. Blaine McCleskey</origin>\n <origin>Carrie A. McDonough</origin>\n <origin>Michael T. Meyer</origin>\n <origin>Mark J. Strynar</origin>\n <origin>Christopher P. Weis</origin>\n <origin>Vickie S. Wilson</origin>\n <origin>Paul M. Bradley</origin>\n <pubdate>2018</pubdate>\n <title>Methods used for the collection and analysis of chemical and biological data for the Tapwater Exposure Study, United States, 2016\xe2\x80\x9317</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/ofr20181098</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Donna L. Rose</origin>\n <origin>Mark W. Sandstrom</origin>\n <origin>Lucinda K. Murtagh</origin>\n <pubdate>2016</pubdate>\n <title>Determination of heat purgeable and ambient purgeable volatile organic compounds in water by gas chromatography/mass spectrometry</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/tm5B12</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Randy L. Hergenreder</origin>\n <pubdate>2011</pubdate>\n <title>Trace Metals in Waters by GFAAS, in Accordance with U.S. EPA and Health Canada Requirements</title>\n <geoform>publication</geoform>\n <onlink>https://labsense.fi/uploads/7/1/9/5/71957143/gfaa_trace_metals_in_water.pdf</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Terry I. Brinton</origin>\n <origin>Ronald C. Antweiler</origin>\n <origin>Howard E. Taylor</origin>\n <pubdate>1996</pubdate>\n <title>Method for the determination of dissolved chloride, nitrate, and sulfate in natural water using ion chromatography</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/ofr95426A</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Mark W. Sandstrom</origin>\n <origin>Leslie K. Kanagy</origin>\n <origin>Cyrissa A. Anderson</origin>\n <origin>Christopher J. Kanagy</origin>\n <pubdate>2016</pubdate>\n <title>Determination of pesticides and pesticide degradates in filtered water by direct aqueous-injection liquid chromatography-tandem mass spectrometry</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/tm5B11</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Edward T. Furlong</origin>\n <origin>Mary C. Noriega</origin>\n <origin>Christopher J. Kanagy</origin>\n <origin>Leslie K. Kanagy</origin>\n <origin>Laura J. Coffey</origin>\n <origin>Mark R. Burkhardt</origin>\n <pubdate>2014</pubdate>\n <title>Determination of human-use pharmaceuticals in filtered water by direct aqueous injection: high-performance liquid chromatography/tandem mass spectrometry</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/tm5B10</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Michelle L. Hladik</origin>\n <origin>Michael J. Focazio</origin>\n <origin>Mark Engle</origin>\n <pubdate>201401</pubdate>\n <title>Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Science of The Total Environment</sername>\n <issue>vol. 466-467</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Elsevier BV</publish>\n </pubinfo>\n <othercit>ppg. 1085-1093</othercit>\n <onlink>https://doi.org/10.1016/j.scitotenv.2013.08.008</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Keith A. Loftin</origin>\n <origin>Jennifer L. Graham</origin>\n <origin>Elizabeth D. Hilborn</origin>\n <origin>Sarah C. Lehmann</origin>\n <origin>Michael T. Meyer</origin>\n <origin>Julie E. Dietze</origin>\n <origin>Christopher B. Griffith</origin>\n <pubdate>201606</pubdate>\n <title>Cyanotoxins in inland lakes of the United States: Occurrence and potential recreational health risks in the EPA National Lakes Assessment 2007</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Harmful Algae</sername>\n <issue>vol. 56</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Elsevier BV</publish>\n </pubinfo>\n <othercit>ppg. 77-90</othercit>\n <onlink>https://doi.org/10.1016/j.hal.2016.04.001</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>James W. Ball</origin>\n <origin>R. Blaine McCleskey</origin>\n <pubdate>2003</pubdate>\n <title>A new cation-exchange method for accurate field speciation of hexavalent chromium</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/wri034018</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>U.S. Department of Interior, U.S. Geological Survey, Water Resources Mission Area</origin>\n <pubdate>2020</pubdate>\n <title>National Field Manual for the Collection of Water-Quality Data (NFM)</title>\n <geoform>publication</geoform>\n <onlink>http://pubs.water.usgs.gov/twri9A</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>M.T. Meyer</origin>\n <origin>E.A. Lee</origin>\n <origin>G.M. Ferrell</origin>\n <origin>J.E. Bumgarner</origin>\n <origin>J. Varns</origin>\n <pubdate>2007</pubdate>\n <title>Evaluation of offline tandem and online solid-phase extraction with liquid chromatography/electrospray ionization-mass spectrometry for analysis of antibiotics in ambient water and comparison to an independent method</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://pubs.usgs.gov/sir/2007/5021/</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>R. Blaine McCleskey</origin>\n <origin>D. Kirk Nordstrom</origin>\n <origin>James W. Ball</origin>\n <pubdate>2003</pubdate>\n <title>Metal interferences and their removal prior to the determination of As(T) and As(III) in acid mine waters by hydride generation atomic absorption spectrometry</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/wri034117</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>IDEXX Laboratories</origin>\n <pubdate>2013</pubdate>\n <title>IDEXX Laboratories 2013 Annual Report</title>\n <geoform>publication</geoform>\n <onlink>https://www.idexx.com/files/2013-idexx-annual-report.pdf</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Standard Methods Online - Standard Methods for the Examination of Water and Wastewater</origin>\n <pubdate>2020</pubdate>\n <title>Enzyme Substrate Coliform Test: 9223B Enzyme Substrate Test</title>\n <geoform>publication</geoform>\n <onlink>https://www.nemi.gov/methods/method_summary/5583/</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>EPA Office of Water</origin>\n <pubdate>200209</pubdate>\n <title>Method 1604: Total Coliforms and Escherichia coli in Water by Membrane Filtration Using a Simultaneous Detection Technique (MI Medium)</title>\n <geoform>publication</geoform>\n <onlink>https://www.nemi.gov/methods/method_summary/9314/</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Standard Methods For the Examination of Water and Wastewater</origin>\n <pubdate>20180827</pubdate>\n <title>9230 FECAL ENTEROCOCCUS/STREPTOCOCCUS GROUPS (2017)</title>\n <geoform>publication</geoform>\n <onlink>https://www.standardmethods.org/doi/full/10.2105/SMWW.2882.197</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>U.S. Environmental Protection Agency</origin>\n <pubdate>200607</pubdate>\n <title>Enterococci in Water by Membrane Filtration Using membrane-Enterococcus Indoxyl-B-D-Glucoside Agar (mEI)</title>\n <geoform>publication</geoform>\n <onlink>https://www.nemi.gov/methods/method_summary/9790/</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>IDEXX LABORATORIES, INC.</origin>\n <pubdate>2016</pubdate>\n <title>IDEXX LABORATORIES, INC. 2016 Annual Report</title>\n <geoform>publication</geoform>\n <onlink>https://www.annualreports.com/HostedData/AnnualReportArchive/i/NASDAQ_IDXX_2016.pdf</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>M. A. Levin</origin>\n <origin>V. J. Cabelli</origin>\n <pubdate>197212</pubdate>\n <title>Membrane Filter Technique for Enumeration of Pseudomonas aeruginosa</title>\n <geoform>publication</geoform>\n <onlink>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC380688/</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>U.S. Environmental Protection Agency</origin>\n <pubdate>201003</pubdate>\n <title>Method 1103.1: Escherichia coli (E. coli) in Water by Membrane Filtration Using membrane-Thermotolerant Escherichia coli Agar (mTEC)</title>\n <geoform>publication</geoform>\n <onlink>https://www.epa.gov/sites/production/files/2015-08/documents/method_1103-1_2010.pdf</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Standard Methods for the Examination of Water and Wastewater</origin>\n <pubdate>1998</pubdate>\n <title>Membrane Filter Technique for Members of the Coliform Group 9222B. Standard Total Coliform Membrane Filter Procedure. 9222G. MF Partition Procedures 9221F. Escherichia coli Procedure (Proposed)</title>\n <geoform>publication</geoform>\n <onlink>https://www.nemi.gov/methods/method_summary/5581/</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>A.A. Hajna</origin>\n <pubdate>1955</pubdate>\n <title>A new specimen preservative for gram negative organisms of the intestinal group</title>\n <geoform>publication</geoform>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>B.D. Lilley</origin>\n <origin>J.H. Brewer</origin>\n <pubdate>195301</pubdate>\n <title>The Selective Antibacterial Action of Phenylethyl Alcohol</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Journal of the American Pharmaceutical Association (Scientific ed.)</sername>\n <issue>vol. 42, issue 1</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Elsevier BV</publish>\n </pubinfo>\n <othercit>ppg. 6-8</othercit>\n <onlink>https://doi.org/10.1002/jps.3030420103</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Copyright 2020 Hach</origin>\n <pubdate>2020</pubdate>\n <title>SL1000 Methods</title>\n <geoform>publication</geoform>\n <onlink>https://support.hach.com/app/answers/answer_view/a_id/1008254/loc/en_US#__highlight</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Imma Ferrer</origin>\n <origin>E. Michael Thurman</origin>\n <pubdate>201006</pubdate>\n <title>Analysis of sucralose and other sweeteners in water and beverage samples by liquid chromatography/time-of-flight mass spectrometry</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Journal of Chromatography A</sername>\n <issue>vol. 1217, issue 25</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Elsevier BV</publish>\n </pubinfo>\n <othercit>ppg. 4127-4134</othercit>\n <onlink>https://doi.org/10.1016/j.chroma.2010.02.020</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>U.S. Environmental Porection Agency</origin>\n <pubdate>199612</pubdate>\n <title>METHOD 3510C SEPARATORY FUNNEL LIQUID-LIQUID EXTRACTION</title>\n <geoform>publication</geoform>\n <onlink>https://www.epa.gov/sites/production/files/2015-12/documents/3510c.pdf</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>U.S. Environmental Protection Agency</origin>\n <pubdate>200912</pubdate>\n <title>Method 1600: Enterococci in Water by Membrane Filtration Using membrane-Enterococcus Indoxyl-beta-D-Glucoside Agar (mEI)</title>\n <geoform>publication</geoform>\n <onlink>https://www.epa.gov/sites/production/files/2015-08/documents/method_1600_2009.pdf</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Data was quality assured through comparison with original data provided by laboratories; evaluated against field blanks and surrogate data.</attraccr>\n </attracc>\n <logic>Data is deemed to be accurate as reviewed for logical consistency.</logic>\n <complete>Data is complete based upon project objectives and goals.</complete>\n <posacc>\n <horizpa>\n <horizpar>no accuracy tests performed</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>no accuracy tests performed</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Sample collection and analyses methods are described in https://doi.org/10.3133/ofr20181098, with minor adjustments due to project variations. Results prepared by participating laboratories were provided to project staff through electronic transmission and verified and quality assured by project leads. Data files were compiled and finalized for publication after quality assurance steps were complete. Tables should be opened as text (.txt) documents to preserve integrity of station identification numbers and any leading or trailing zeros.\n\nThe following method descriptions for atrazine and sweeteners were provided by Rachael F. Lane.\nSamples were analyzed for atrazine using the LCAZ method, LCAZ is research method that was developed at the Organic Geochemistry Research Laboratory (U.S. Geological Survey Kansas Water Science Center) as a replacement for the atrazine enzyme-linked immunosorbent assay method. Water samples were analyzed for atrazine using a direct inject ultra-performance liquid chromatography/tandem mass spectrometry (UPLC/MS/MS) with positive electrospray ionization (ESI) method. \nSamples, standards, and blanks were prepared for analysis by the addition of 4 mL sample or water to a vial, spiking with the surrogate internal standard (atrazine D5), and filtering with a 0.2 micron GHP syringe filter. A duplicate sample, matrix spiked sample, blank sample, and a check standard were analyzed after every tenth sample. Standard curve, check standards, and blank samples were prepared in type I water (18.2M\xe2\x84\xa6-cm, <10 ppb TOC) and were processed the same as the environmental water samples. \nChromatographic separation was performed on a Waters Acquity H-class bio UPLC using a Waters Acquity BEH C18 1.7 \xce\xbcm, 100x2.1 mm column with a six minute gradient consisting of 0.3% acetic acid in water, and 0.3% acetic acid in acetonitrile/methanol (50/50). \nThe compounds were analyzed using multiple reaction monitoring. Compounds were identified using retention times, the m/z of the precursor ion, the m/z of two fragment ions, and the ratio of the fragment ions. The detected compounds were quantitated against a standard curve using the ratio of the area of one ion (quantifying ion) of the analyte to the area of the respective ion of the internal standard. The method reporting limit was 0.1 \xc2\xb5g/L. \n\nSamples were analyzed for sweeteners using the LCSU method, LCSU is currently a research method that was developed at the Organic Geochemistry Research Laboratory (Kansas Water Science Center). Water samples were analyzed for acesulfame K, aspartame, neotame, saccharin, and sucralose using solid-phase extraction (SPE) and ultra-performance liquid chromatography/tandem mass spectrometry (UPLC/MS/MS) with electrospray ionization \n(ESI) using multiple reaction monitoring (MRM). Samples were analyzed in positive ion mode for aspartame and neotame and in negative ion mode for acesulfame K, saccharin, and sucralose. Samples (123 mL) were extracted using 500 mg HLB SPE cartridges (Waters Corp., Milford, Ma). Aspartame-d5, neotame-d3, acesulfame K-d4, saccharin-13C6, and sucralose-d6 were used as surrogate standards. Standard curve, check standards, and blank samples were prepared in type I water (18.2M\xe2\x84\xa6-cm, <10 ppb TOC). \nSamples, standards, and blanks were prepared for analysis by adding 122-mL sample, 900 \xc2\xb5L of a 0.1 M phosphate buffer (pH 7), and 100 \xc2\xb5L of 10% formic acid. A duplicate sample, matrix spiked sample, and a carryover blank were analyzed after every tenth sample. A check standard was analyzed after every twenty samples and blank samples were interspersed between the environmental samples. All standard solutions, blanks, and matrix spikes were treated the same as the environmental water samples. \nSPE cartridges were rinsed with 4 mL methanol followed by 4 mL water. The prepared samples were extracted using a 24-port vacuum rack with Teflon tubing attached to 6-ml SPE cartridge adapters. The SPE cartridges were then allowed to dry for 30 min before being eluted using positive pressure (nitrogen) through a 0.2 micron PTFE filter into glass test tubes with 3 x 4-mL aliquots of methanol. Samples were then evaporated at 45\xc2\xb0C to a volume of 25 \xc2\xb5L and brought to a final volume of 350 \xc2\xb5L with a 95/5 water/methanol solution. The samples were transferred to Waters max recovery vials and stored at 4\xc2\xb0C until analysis. \nChromatographic separation was performed on a Waters Acquity H-class bio UPLC with a Waters Acquity HSS T3 1.8 um, 100x2.1 mm column and mobile phase A, 0.3 % formic acid, and B, 0.3 % formic acid acetonitrile/methanol (50/50%) for positive ion mode and mobile phase A, 0.3 % formic acid, and B, methanol for negative ion mode. \nThe compounds were analyzed using multiple reaction monitoring (MRM). Compounds were identified using retention times, the m/z of the precursor ion, the m/z of the fragment ions, and the ratio of the fragment ions. The detected compounds were quantitated using the ratio of the area of one ion (quantifying ion) of the analyte to the area of the respective ion of the surrogate internal standard. The reporting levels were: 0.002, 0.0003, 0.01, 0.02, and 0.1 \xc2\xb5g/L for aspartame, neotame, acesulfame K, saccharin, and sucralose respectively \nMethod modified from: \nImma Ferrer, E. Michael Thurman, Analysis of sucralose and other sweeteners in water and beverage samples by liquid chromatography/time-of-flight mass spectrometry, Journal of Chromatography A, Volume 1217, Issue 25, 2010, Pages 4127-4134.</procdesc>\n <procdate>20191231</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>TW2018_PR_Table1_SiteInfo.txt</enttypl>\n <enttypd>Table 1. Site information for samples collected as part of the Puerto Rico Tapwater study, 2018.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Site ID</attrlabl>\n <attrdef>Short site identification number</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>information not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Short site identification number.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NWIS station ID</attrlabl>\n <attrdef>U.S. Geological Survey station identification number</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Producer defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NWIS station name</attrlabl>\n <attrdef>U.S. Geological Survey station identification name</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Producer defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Type</attrlabl>\n <attrdef>Denotes source of sample</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>TW</edomv>\n <edomvd>tapwater</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>DW</edomv>\n <edomvd>raw drinking water</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Source</attrlabl>\n <attrdef>Denotes source of sample</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>PRASA</edomv>\n <edomvd>Puerto Rico Aqueducts and Sewers Authority</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Spring</edomv>\n <edomvd>Natural Spring</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NPCWS</edomv>\n <edomvd>non-PRASA community water supply</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>SS</edomv>\n <edomvd>self-supply</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sampling event</attrlabl>\n <attrdef>Month and year of sampling event</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>October, 2017</edomv>\n <edomvd>Study sampled in October, 2017</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>August, 2018</edomv>\n <edomvd>Study sampled in August, 2018</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>December, 2018</edomv>\n <edomvd>Study sampled in December, 2018</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sampling study</attrlabl>\n <attrdef>Sampling study associated with corresponding data table names</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Post-Maria</edomv>\n <edomvd>Post-Maria study</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Synoptic</edomv>\n <edomvd>Synoptic study</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Temporal</edomv>\n <edomvd>Temporal study</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>TW2018_PR_Table2_Methods.txt</enttypl>\n <enttypd>Table 2. Compound information for analyses performed by various laboratories for the U.S. Geological Survey (USGS) Environmental Health Mission Area, Infrastructure Project, Puerto Rico Tapwater Exposure Study, 2017-18.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Chemical name</attrlabl>\n <attrdef>List of inorganic and organic compounds, with associated method information, analyzed for this study</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Organic and inorganic compounds.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Chemical group</attrlabl>\n <attrdef>General description of compound or analyte listed in column 1</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Description of type of compound listed in column 1.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Analyzing laboratory</attrlabl>\n <attrdef>Laboratory that performed analysis of compound listed in column 1</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NWQL</edomv>\n <edomvd>National Water Quality Laboratory in Denver, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>OCRL</edomv>\n <edomvd>Organic Chemistry Research Laboratory in Sacramento, California</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Field personnel</edomv>\n <edomvd>Field personnel for sample collection</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>RCL</edomv>\n <edomvd>RedOx Chemistry Laboratory in Boulder, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>CSM</edomv>\n <edomvd>Colorado School of Mines in Golden, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>OGRL</edomv>\n <edomvd>Organic Geochemistry Laboratory in Lawrence, Kansas</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>UPR-M</edomv>\n <edomvd>University of Puerto Rico in Mayaguez, Puerto Rico</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>MIBaRL</edomv>\n <edomvd>Michigan Microbiological Research Laboratory, Lansing, Michigan</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Method</attrlabl>\n <attrdef>Refers to method used in laboratory analysis</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Abbreviation descriptions are listed as follows: LC/MS-MS, liquid chromatography-tandem mass spectrometry; GC-MS, gas chromatography\xe2\x80\x93mass spectrometry; ICP-OES, inductively coupled plasma-optical emission spectrometry; IC, ion chromatography; HPLC/MS-MS, high performance liquid chromatography-tandem mass spectrometry; ELISA, enzyme linked immunosorbent assay for algal toxins.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NWIS parameter code</attrlabl>\n <attrdef>National Water Information System (NWIS) parameter code</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>information not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>5-digit code. https://nwis.waterdata.usgs.gov/usa/nwis/pmcodes.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CASRN</attrlabl>\n <attrdef>Chemical Abstract Services Registry Number (CASRN) for associated compound or analyte listed in column 1</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>information not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Available at https://support.cas.org/content/chemical-substances/faqs, accessed on February 9, 2018.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Reporting level</attrlabl>\n <attrdef>Reporting limit (established by analyzing laboratory)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>information not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Lowest level at which compound from column 1 would be detected, as per method.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Reporting level unit</attrlabl>\n <attrdef>Reporting limit units of measurement</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ng/L</edomv>\n <edomvd>nanograms per liter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ug/L</edomv>\n <edomvd>micrograms per liter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>std units</edomv>\n <edomvd>standard units</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>uS/cm</edomv>\n <edomvd>microsiemens per centimeter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>deg C</edomv>\n <edomvd>degrees Celcius</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>mg/L</edomv>\n <edomvd>milligrams per liter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>mg/L as Cu</edomv>\n <edomvd>milligrams per liter as copper</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>mg/L as Cl2</edomv>\n <edomvd>milligrams per liter as chloride</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>mg/L, as Cl2</edomv>\n <edomvd>milligrams per liter as chloride</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>mg/L as NH3-N</edomv>\n <edomvd>milligrams per liter as nitrogen, ammonia</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>mg/L as PO4</edomv>\n <edomvd>milligrams per liter as phosphate</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>MPN/100 mL</edomv>\n <edomvd>most probable number per 100 milliliters</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>CFU/100 mL</edomv>\n <edomvd>colony forming units per 100 milliliters</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Yes/No</edomv>\n <edomvd>positive or negative</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Reporting level type</attrlabl>\n <attrdef>Method used to determine detection limit</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Quantitation and method detection limits can be found in references cited. https://nwql.usgs.gov/Public/tech_memos/nwql.2015-02.pdf.</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>RLDQC</edomv>\n <edomvd>Reporting limit by DQCALC; Equal to (or greater than) two times DLDQC. The probability of falsely reporting a non-detection for a sample that contains an analyte at the RLDQC concentration is predicted to be \xe2\x89\xa4 1 percent.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>MRL</edomv>\n <edomvd>Method Reporting Limit</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>MDL</edomv>\n <edomvd>Method Detection Limit</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>information not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>DLBLK</edomv>\n <edomvd>95th to 99th percentile value of the blank data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LOD</edomv>\n <edomvd>Limit of detection</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LOQ</edomv>\n <edomvd>Limit of quantification</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Years analyzed</attrlabl>\n <attrdef>Years samples were anlayzed for parameters</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>2017, 2018</edomv>\n <edomvd>Analyzed in 2017 and 2018</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2018</edomv>\n <edomvd>Analyzed in 2018</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2018 (temporal)</edomv>\n <edomvd>Analyzed in 2018 temporal study</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2018 (synoptic)</edomv>\n <edomvd>Analyzed in 2018 synoptic study</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Reference</attrlabl>\n <attrdef>Reference for laboratory analyses is described</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>information not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Furlong and others, 2014</edomv>\n <edomvd>Furlong, E.T., Noriega, M.C., Kanagy, C.J., Kanagy, L.K., Coffey, L.J., and Burkhardt, M.R., 2014, Determination of human-use pharmaceuticals in filtered water by direct aqueous injection\xe2\x80\x93high-performance liquid chromatography/tandem mass spectrometry: U.S. Geological Survey Techniques and Methods, book 5, chap. B10, 49 p.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Sandstrom and others, 2015</edomv>\n <edomvd>Sandstrom, M.W., Kanagy, L.K., Anderson, C.A., and Kanagy, C.J., 2015, Determination of pesticides and pesticide degradates in filtered water by direct aqueous-injection liquid chromatography-tandem mass spectrometry: U.S. Geological Survey Techniques and Methods, book 5, chap. B11, 54 p.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Hladik and others, 2014</edomv>\n <edomvd>Hladik, M.L., Focazio, M.J. and Engle, M., 2014. Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams, Sci. Tot. Environ., v. 466-467, 1085-1093.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Barringer and Johnsson, 1996 and Fishman and Friedman, 1989</edomv>\n <edomvd>Barringer, J.L. and Johnsson, P.A., 1989, Theoretical considerations and a simple method for measuring alkalinity and acidity in low-pH waters by gran titration; U.S. Geological Survey Water-Resources Investigations Report WRIR 89-4019; Fishman, M.J., and Friedman, L.C., 1989, Methods for Determination of Inorganic Substances in Water and Fluvial Sediments: U.S. Geological Survey Techniques of Water-Resources Investigations, book 5, chap. A1, 545 p.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>EPA, 2014</edomv>\n <edomvd>U.S. Environmental Protection Agency [EPA], 2014, Inductively coupled plasma\xe2\x80\x94optical emission spectrometry, Method 6010D: U.S. Environmental Protection Agency, EPA SW-846 Update V, accessed November 2, 2017, at https://www.epa.gov/sites/production/files/2015-12/documents/6010d.pdf.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>HACH, 2020</edomv>\n <edomvd>HACH, 2020, SL1000 Methods, https://support.hach.com/app/answers/answer_view/a_id/1008254/loc/en_US#__highlight</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Ball and McCleskey, 2003</edomv>\n <edomvd>McCleskey RB, Nordstrom DK, Ball JW. Metal interferences and their removal prior to the determination of As(T) and As(III) in acid mine waters by hydride generation atomic absorption spectrometry. U.S. Geological Survey Water-Resources Investigations Report 2003-4117. https://doi.org/10.3133/wri034117.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Hergenreder, 2011</edomv>\n <edomvd>Hergenreder, R.L., Trace Metals in Waters by GFAAS, in Accordance with U.S. EPA and Health Canada Requirements, 2011. Copyright \xc2\xa92011, PerkinElmer, Inc. https://www.perkinelmer.com.cn/CMSResources/Images46-127544PinAAcleTraceMetalsinWaterbyGFAAAppNote.pdf</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Romanok and others, 2018</edomv>\n <edomvd>Romanok, K.M., Kolpin, D.W., Meppelink, S.M., Argos, M., Brown, J.B., DeVito, M.J., Dietze, J.E., Givens, C.E., Gray, J.L., Higgins, C.P., Hladik, M.L., Iwanowicz, L.R., Loftin, K.A., McCleskey, R.B., McDonough, C.A., Meyer, M.T., Strynar, M.J., Weis, C.P., Wilson, V.S., and Bradley, P.M., 2018, Methods used for the collection and analysis of chemical and biological data for the Tapwater Exposure Study, United States, 2016\xe2\x80\x9317: U.S. Geological Survey Open-File Report 2018\xe2\x80\x931098, 79 p., https://doi.org/10.3133/ofr20181098.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Rose and others, 2016</edomv>\n <edomvd>Rose, D.L., Sandstrom, M.W., and Murtagh, L.K., 2016, Determination of heat purgeable and ambient purgeable volatile organic compounds in water by gas chromatography/mass spectrometry: U.S. Geological Survey Techniques and Methods, book 5, chap. B12, 62 p.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Loftin and others, 2016</edomv>\n <edomvd>Loftin, K.A., Graham, J.L., Hilborn, E.D., Lehmann, S.C., Meyer, M.T., Dietze, J.E., and Griffith, C.B., 2016, Cyanotoxins in inland lakes of the United States\xe2\x80\x94Occurrence and potential recreational health risks in the EPA National Lakes Assessment, 2007: Harmful Algae, v. 56, p. 77\xe2\x80\x9390, accessed November 13, 2017, at https://doi.org/10.1016/j.hal.2016.04.001.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Meyer and others, 2009</edomv>\n <edomvd>Meyer, M.T., Lee, E.A., Ferrell, G.F., Bumgarner, J.E., and Varns, Jerry, 2007, Evaluation of offline tandem and online solid-phase extraction with liquid chromatography/electrospray ionization-mass spectrometry for analysis of antibiotics in ambient water and comparison to an independent method: U.S. Geological Survey Scientific Investigations Report 2007-5021, 28 p.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Lee and Strahan, 2003</edomv>\n <edomvd>Lee, E.A., Strahan, A.P., 2003, Methods of analysis by the U.S. Geological Survey Organic Geochemistry Research Group-Determination of acetamide herbicides and their degradation products in water using online solid-phase extraction and high-performance liquid chromatography/mass spectrometry, U.S. Geological Survey Open-File Report 03-173, pp. 17.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Ferrer and Thurman, 2010 (modified)</edomv>\n <edomvd>Ferrer, I., and Thurman, E. M., 2010, Analysis of sucralose and other sweeteners in water and beverage samples by liquid chromatography/time-of-flight mass spectrometry, Journal of Chromatography A, v. 1217(25), p. 4127\xe2\x80\x934134, https://doi.org/10.1016/j.chroma.2010.02.020</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Torres and others, 2018</edomv>\n <edomvd>Torres, N.I., Yu X., Padilla, P.Y., Macchiavelli, R.E., Ghasemizadeh, R., Kaeli D., Cordero J.F., Meeker, J.D., Alshawabkeh, A.N., 2018, The influence of hydrogeological and anthropogenic variables on phthalate contamination in eogenetic karst groundwater systems, Environmental Pollution, v.237, p. 298-307, accessed October 14, 2020 at https://doi.org/10.1016/j.envpol.2018.01.106.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>IDEXX, 2013</edomv>\n <edomvd>IDEXX Laboratories, 2013 Annual Report- Annual Report on Form 10-K, IDEXX LABORATORIES, INC., https://www.idexx.com/files/2013-idexx-annual-report.pdf.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>American Public Health Association, 2012 [9223B]</edomv>\n <edomvd>Standard Methods for the Examination of Water and Wastewater, 2020, Enzyme Substrate Coliform Test: 9223B Enzyme Substrate Test, https://www.nemi.gov/methods/method_summary/5583/.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>U. S. Environmental Protection Agency, 2002 [1604]</edomv>\n <edomvd>Environmental Protection Agency, Office of Water, 2002, Method 1604: Total Coliforms and Escherichia coli in Water by Membrane Filtration Using a Simultaneous Detection Technique (MI Medium), https://www.nemi.gov/methods/method_summary/9314/.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>American Public Health Association, 2009; American Public Health Association, 2017 [9230D]</edomv>\n <edomvd>Standard Methods For the Examination of Water and Wastewater, 2017, 9230 Fecal Enterococcus/Streptococcus Groups, https://www.standardmethods.org/doi/full/10.2105/SMWW.2882.197.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>U. S. Environmental Protection Agency, 2009b [1600]</edomv>\n <edomvd>Environmental Protection Agency, 2009, Method 1600: Enterococci in Water by Membrane Filtration Using membrane-Enterococcus Indoxyl-beta-D Glucoside Agar (mEI), https://www.epa.gov/sites/production/files/2015-08/documents/method_1600_2009.pdf</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>IDEXX, 2016</edomv>\n <edomvd>IDEXX Laboratories, 2016 Annual Report- Annual Report on Form 10-K, IDEXX LABORATORIES, INC., https://www.annualreports.com/HostedData/AnnualReportArchive/NASDAQ_IDXX_2016.pdf.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Levin and Cabelli, 1972</edomv>\n <edomvd>Levin, M.A. and Cabelli, V.J., 1972, Membrane Filter Technique for Enumeration of Pseudomonas aeruginosa, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC380688/.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>American Public Health Association, 2012 [9213D]</edomv>\n <edomvd>https://www.standardmethods.org/doi/abs/10.2105/SMWW.2882.187</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>American Public Health Association, 2012 [9222G]</edomv>\n <edomvd>Standard Methods for the Examination of Water and Wastewater, 1998, Membrane Filter Technique for Members of the Coliform Group 9222B. Standard Total Coliform Membrane Filter Procedure. 9222G. MF Partition Procedures 9221F. Escherichia coli Procedure (Proposed), https://www.nemi.gov/methods/method_summary/5581/.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Lilley and Brewer, 1953</edomv>\n <edomvd>Lilley B.D. and Brewer, J.H., 1953, The Selective Antibacterial Action of Phenylethyl Alcohol, Journal of the American Pharmaceutical Association (Scientific ed.), v. 42(1).</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Hajna, 1955</edomv>\n <edomvd>Hajna, A.A., 1955, A new specimen preservative for gram negative organisms of the intestinal group. Public Health Lab. 13:59-62.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>TW2018_PR_Table3_SynopticInorganics.txt</enttypl>\n <enttypd>Table 3. Detected inorganics from August, 2018 synoptic study, Puerto Rico.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Site ID</attrlabl>\n <attrdef>Short site ID corresponding to site ID listed in column 1 of Table 1</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table1_SiteInfo.txt for additional site information.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample time (HHMM)</attrlabl>\n <attrdef>Time sample was collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Time sample was collected in 24-hr military time format.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Columns 3-32</attrlabl>\n <attrdef>Inorganic data and detected trace elements concentrations corresponding to headers: pH; Specific conductance; Temperature, water; Alkalinity; Calcium; Chloride; Fluoride; Magnesium; Nitrate-N; Phosphorus; Potassium; Silicate; Sodium; Sulphate; Aluminum; Barium; Boron; Bromide; Chromium, hexavalent; Chromium, total; Copper; Iron; Lead; Lithium; Manganese; Molybdenum; Nickel; Strontium; Vanadium; Zinc</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table2_Methods.txt for additional method information. Results for pH and specific conductance were measured in the field.</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>nd</edomv>\n <edomvd>not detected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rows 17-18</attrlabl>\n <attrdef>Parameter information corresponding to row headers: Units of measure; Analyzing laboratory</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>uS/cm</edomv>\n <edomvd>microseimens per centimeter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>deg C</edomv>\n <edomvd>degrees celsius</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>mg/L</edomv>\n <edomvd>milligrams per liter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>HCO3</edomv>\n <edomvd>bicarbonate</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ug/L</edomv>\n <edomvd>micrograms per liter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>RCL</edomv>\n <edomvd>Redox Chemistry Laboratory, Boulder, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>TW2018_PR_Table4_SynopticOrganics.txt</enttypl>\n <enttypd>Table 4. Detected organics from August, 2018 synoptic study, Puerto Rico.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Site ID</attrlabl>\n <attrdef>Short site ID corresponding to site ID listed in column 1 of Table 1</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table1_SiteInfo.txt for additional site information</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample time (HHMM)</attrlabl>\n <attrdef>Time sample was collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Time sample was collected in 24-hr military time format</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Columns 3-75</attrlabl>\n <attrdef>Detected organic concentration data corresponding to headers: 1,1,1-Trichloro-2-propanone; 1,1-Dichloro-2-propanone; 1,2,3-Trichloropropane; 1,2-Dichloropropane; 2,4-D; 2,4-D; Acesulfame-K; Acetonitrile; Ametryn; Atrazine; Azoxystrobin; Bromacil; Bromoacetonitrile; Bromochloroiodomethane; Bromochloromethane; Bromodichloromethane; Bromodiiodomethane; Caffeine; Carbamazepine; CHBrCl2; Chlorodiiodomethane; Chloropicrin; CIAT; cis-1,2-Dichloroethene; Cotinine; DCPMU; Deisopropyl prometryn; Demethyl hexazinone B; Desamino-diketo metribuzin; Di (2-ethylhexyl) phthalate; Dibromochloromethane; Dibromochloromethane; Dibromoiodomethane; Dibutyl phthalate; Dichloroacetonitrile; Dichloroiodomethane; Dichloromethane; Dichloronitromethane; Diethyl phthalate; Diuron; Fluconazole; FOSA; Glyphosate; HCFC-22; Hexazinone; Hexazinone TP D; Imidacloprid; Isopropyl alcohol; MTBE; Neotame; OIAT; OIET; Oxamyl; PFBS; PFHpA; PFHxA; PFHxS; PFOA; PFOS; PFPeA; PFPeS; Prometon; Saccharin; Simazine; Sucralose; Tetrachloroethene; Tetrachloromethane; Tribromomethane; Tribromomethane; Trichloroethene; Trichloromethane; Trichloromethane</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table2_Methods.txt for additional method information. tert-butyl alcohol is not reported due to blank censoring.</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>nd</edomv>\n <edomvd>not detected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>E</edomv>\n <edomvd>estimated value</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not analyzed</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rows 17-20</attrlabl>\n <attrdef>Parameter information corresponding to row headers: Units of measure; Analyzing laboratory; Compound group; NWIS parameter code</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ug/L</edomv>\n <edomvd>micrograms per liter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>OCRL</edomv>\n <edomvd>Organic Chemistry Research Laboratory in Sacramento, California</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NWQL</edomv>\n <edomvd>National Water Quality Laboratory in Denver, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>OGRL</edomv>\n <edomvd>Organic Geochemistry Laboratory in Lawrence, Kansas</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>UPRM</edomv>\n <edomvd>University of Puerto Rico in Mayaguez, Puerto Rico</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>CSM</edomv>\n <edomvd>Colorado School of Mines in Golden, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>DBP</edomv>\n <edomvd>Disinfection By-Product</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>VOC</edomv>\n <edomvd>Volatile organic compounds</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>PFAS</edomv>\n <edomvd>Per- and poly-fluoroalkyl substances</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>PEST</edomv>\n <edomvd>Pesticide</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>SWEET</edomv>\n <edomvd>Sweetener</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>PHARM</edomv>\n <edomvd>Pharmaceutical</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NWIS</edomv>\n <edomvd>national water information system</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>information not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>TW2018_PR_Table5_TemporalInorganics.txt</enttypl>\n <enttypd>Table 5. Detected inorganics from December, 2018 temporal study, Puerto Rico.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Site ID</attrlabl>\n <attrdef>Short site ID corresponding to site ID listed in column 1 of Table 1</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table1_SiteInfo.txt for additional site information</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Day</attrlabl>\n <attrdef>Day sample was collected during temporal study</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Day sample was collected during temporal study over 3 days.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample time (HHMM)</attrlabl>\n <attrdef>Time sample was collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Time sample was collected in 24-hr military time format. Samples collected at 0500 and 0900, are stagnant samples collected as 'first draw', followed 30-minutes later by a second sample at 0530 and 0930.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Columns 4-37</attrlabl>\n <attrdef>Inorganic data and detected trace elements concentrations corresponding to header: pH; Specific conductance; Temperature; Alkalinity; Chlorine total; Chlorine free; Monochloramine; Ammonium free; Orthophosphate; Calcium; Chloride; Fluoride; Magnesium; Nitrate-N; Potassium; Silicate; Sodium; Sulphate; Aluminum; Barium; Boron; Bromide; Cadmium; Chromium; Copper; Iron; Lead; Manganese; Molybdenum; Nickel; Strontium; Tungsten; Vanadium; Zinc</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table2_Methods.txt for additional method information. Results for pH and specific conductance were measured in the field.</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>nd</edomv>\n <edomvd>not detected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not analyzed</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rows 15-16</attrlabl>\n <attrdef>Parameter information corresponding to row headers: Units of measure; Analyzing laboratory</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>uS/cm</edomv>\n <edomvd>microseimens per centimeter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>deg C</edomv>\n <edomvd>degrees celsius</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>mg/L</edomv>\n <edomvd>milligrams per liter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>HCO3</edomv>\n <edomvd>bicarbonate</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ug/L</edomv>\n <edomvd>micrograms per liter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>RCL</edomv>\n <edomvd>Redox Chemistry Laboratory, Boulder, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>TW2018_PR_Table6_TemporalOrganics.txt</enttypl>\n <enttypd>Table 6. Detected organics from December, 2018 temporal study, Puerto Rico.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Site ID</attrlabl>\n <attrdef>Short site ID corresponding to site ID listed in column 1 of Table 1</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table1_SiteInfo.txt for additional site information</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Day</attrlabl>\n <attrdef>Day sample was collected during temporal study</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Day sample was collected during temporal study over 3 days.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample time (HHMM)</attrlabl>\n <attrdef>Time sample was collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Time sample was collected in 24-hr military time format. Samples collected at 0500 and 0900, are stagnant samples collected as 'first draw', followed 30-minutes later by a second sample at 0530 and 0930.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Columns 4-43</attrlabl>\n <attrdef>Detected organic concentration data corresponding to headers: 1,1,1-Trichloro-2-propanone; 1,1-Dichloro-2-propanone; 1,1-Difluoroethane; 2,4-D; Acesulfame-K; Acetonitrile; Azoxystrobin; Bromochloroiodomethane; Bromodichloromethane; Carbendazim; Chlorodiiodomethane; Chloropicrin; Cyclohexanone; Dibromochloromethane; Dichloroacetonitrile; Dichloroiodomethane; Dichloromethane; Dichloronitromethane; Diuron; EtFOSA; Ethyl acetate; Fluconazole; FOSA; Hydroxysimazine; Imidacloprid; n-Pentanal; n-Pentane; OIET; PFBS; PFHpA; PFHxA; PFHxS; PFOS; PFPeA; PFUdA; Prometon; Saccharin; Tetrachloromethane; Tribromomethane; Trichloromethane</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table2_Methods.txt for additional method information. tert-buytl alcohol was not reported due to blank censoring.</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>nd</edomv>\n <edomvd>not detected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>E</edomv>\n <edomvd>estimated value</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not analyzed</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rows 15-18</attrlabl>\n <attrdef>Parameter information corresponding to row headers: Units of measure; Analyzing laboratory; Compound group; NWIS parameter code</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ug/L</edomv>\n <edomvd>micrograms per liter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>OCRL</edomv>\n <edomvd>Organic Chemistry Research Laboratory in Sacramento, California</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NWQL</edomv>\n <edomvd>National Water Quality Laboratory in Denver, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>OGRL</edomv>\n <edomvd>Organic Geochemistry Laboratory in Lawrence, Kansas</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>CSM</edomv>\n <edomvd>Colorado School of Mines in Golden, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>DBP</edomv>\n <edomvd>Disinfection By-Product</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>VOC</edomv>\n <edomvd>Volatile organic compounds</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>PEST</edomv>\n <edomvd>Pesticide</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LCSU</edomv>\n <edomvd>artificial sweetener</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>PFAS</edomv>\n <edomvd>Per- and poly-fluoroalkyl substances</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>PHARM</edomv>\n <edomvd>Pharmaceutical</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NWIS</edomv>\n <edomvd>national water information system</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>information not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>TW2018_PR_Table7_TemporalMicrobiology.txt</enttypl>\n <enttypd>Table 7. Microbiological results (most probable number [MPN] per 100 mL) for samples collected during the December, 2018 temporal tapwater study, Puerto Rico. Samples were analyzed at the U.S. Geological Survey, Michigan Microbiological Research Laboratory, Lansing, Michigan.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Site ID</attrlabl>\n <attrdef>Short site ID corresponding to site ID listed in column 1 of Table 1</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table1_SiteInfo.txt for additional site information</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Day</attrlabl>\n <attrdef>Day sample was collected during temporal study</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Day sample was collected during temporal study over 3 days.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample time (HHMM)</attrlabl>\n <attrdef>Time sample was collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Time sample was collected in 24-hr military time format.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Columns 4-6</attrlabl>\n <attrdef>Microbiological data corresponding to headers: Total coliforms; Escherichia coli; Heterotrophic bacteria</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table2_Methods.txt for additional method information.</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>nd</edomv>\n <edomvd>no colonies observed</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>TW2018_PR_Table8_QA_FieldBlanks.txt</enttypl>\n <enttypd>Table 8. Detected compounds from quality assurance/quality control, field-blank samples, 2018.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Blank ID</attrlabl>\n <attrdef>Short site ID corresponding to site ID listed in column 1 of Table 1</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table1_SiteInfo.txt for additional site information</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Columns 2-16</attrlabl>\n <attrdef>Concentrations of compounds, in units listed, detected in field blanks corresponding to headers: Calcium; Lead; Silica; Sodium; Zinc; t-Butyl alcohol; 1,1-Difluoroethane; FOSA; PFBA; PFBS; PFHxA; PFHxS; PFOA; PFOS; PFPeA</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>TW2018_PR_Table2_Methods.txt for additional compound information, including PFAS abbreviations.</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>nd</edomv>\n <edomvd>not detected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rows 6-8</attrlabl>\n <attrdef>Parameter information corresponding to row headers: Units of measure; Analyzing laboratory; Compound group</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>mg/L</edomv>\n <edomvd>milligrams per liter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ug/L</edomv>\n <edomvd>micrograms per liter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>RCL</edomv>\n <edomvd>Redox Chemistry Laboratory, Boulder, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NWQL</edomv>\n <edomvd>National Water Quality Laboratory in Denver, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>CSM</edomv>\n <edomvd>Colorado School of Mines in Golden, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>VOC</edomv>\n <edomvd>Volatile organic compounds</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>PFAS</edomv>\n <edomvd>Per- and poly-fluoroalkyl substances</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>TW2018_PR_Table9_QA_SurrogateRecoveries.txt</enttypl>\n <enttypd>Table 9. Surrogate and Internal Dilution Standard percent recoveries for organic compounds analyzed at the U.S. Geological Survey, National Water Quality Laboratory, Denver, Colorado, Puerto Rico, 2017-18.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>NWIS station ID</attrlabl>\n <attrdef>U.S. Geological Survey station identification number</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>For more information refer to https://doi.org/10.5066/F7P55KJN</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NWIS station name</attrlabl>\n <attrdef>U.S. Geological Survey station identification name</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>For more information refer to https://doi.org/10.5066/F7P55KJN</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample date (YYYYMMDD)</attrlabl>\n <attrdef>Date sample was collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Date sample was collected in YYYY, year, MM, month, DD, day</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample time (HHMM)</attrlabl>\n <attrdef>Time sample was collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Time sample was collected in 24-hr military time format.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Columns 5-76</attrlabl>\n <attrdef>Internal Dilution Standard percent recoveries for organic compounds corresponding to headers: Bromofluorobenzene; 1,2-Dichlorobenzene-d4; 3-Phenoxybenzoic acid-13C6; Acetochlor-d11; Alachlor-d13; Carbaryl-d7; Carbendazim-d4; Carbofuran-d3; Deethylatrazine-d6; Diazinon-d10; Diflubenzuron-d4; Hexazinone-d6; Linuron-d6; Malathion-d10; Metolachlor-d6; Nicosulfuron-d6; Tebuconazole-d6; Thiobencarb-d10; cis-Permethrin-13C6; Butachlor SA; Dimethachlor SA; Diuron-d6; 2,4-D-d3; Isobutylalcohol-d6; 1-Bromo-3-chloropropane-d6; Tetrahydrofuran-d8; 1,4-BrFbenzene (amb P and T); Toluene-d8 (amb P and T); 1,4-BrFbenzene (heat P and T); Toluene-d8 (heat P and T); 1,2-Dichloroethane-d4; Lorazepam-d4; Propoxyphene-d11; Ketoconazole-d4; Oxazepam-d5; Carisoprodol-d7; Amitriptyline-d3; Erythromycin-13C,d3; Ezetimibe-d4; Fenofibrate-d6; Fexofenadine-d10; Fluvoxamine-d4; Loperamide-d6; Loratadine-d4; Desmethyldiltiazem-d4; Promethazine-d6; Raloxifene-d10; Ranitidine-d6; Tiotropium-d3; Verapamil-d6; Tamoxifen-d5; Hydrocortisone-13C3; Metformin-d6; Thiabendazole-d4; Albuterol-d9; Diltiazem-d3; Trimethoprim-d9; Acetaminophen-d3; Norfluoxetine-d6; Methadone-d9; Oxycodone-d3; Hydrocodone-d3; Temazepam-d5; Caffeine-(trimethyl-13C3); Sulfamethoxazole-(phenyl13C6); Cotinine-d3; Amphetamine-d6; Codeine-d6; Pseudoephedrine-d3; Diphenhydramine-d3; Fluoxetine-d6; Diazepam-d5</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table2_Methods.txt for additional method information.</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>E</edomv>\n <edomvd>estimated value</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>u</edomv>\n <edomvd>value not reported because internal standard did not meet the method's data quality or variability acceptance criteria</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rows 41-42</attrlabl>\n <attrdef>Parameter information corresponding to row headers: Units of measure; NWIS parameter code</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>% recovery</edomv>\n <edomvd>percent recovery</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>information not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>TW2018_PR_Table10_PostMaria.txt</enttypl>\n <enttypd>Table 10. Concentrations, in micrograms per liter (ug/L), of pharmaceuticals and pesticides detected in samples from drinking water sources in Puerto Rico in 2017 in the aftermath of Hurricane Maria.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>NWIS station ID</attrlabl>\n <attrdef>U.S. Geological Survey station identification number</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>For more information refer to https://doi.org/10.5066/F7P55KJN</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NWIS station name</attrlabl>\n <attrdef>U.S. Geological Survey station identification name</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>For more information refer to https://doi.org/10.5066/F7P55KJN. 'Unnamed spring, Toa Alta, PR' is an artesian spring in the northern karst region, which was utilized by residents of D3 and the adjacent community as a source of drinking water until the PRASA drinking water supply was restored in late December 2017, approximately 3 months post-Maria.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Type</attrlabl>\n <attrdef>Denotes source of sample.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Denotes source of sample; spring or tapwater.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Columns 4-71</attrlabl>\n <attrdef>Concentrations of of pharmaceuticals and pesticides detected in samples corresponding to headers: 2,4-D; 2-i-Pr-6-Me-4-pyrimidinol; Abacavir; Acetaminophen; Acyclovir; Albuterol; Amphetamine; Atenolol; Bupropion; CAAT; Caffeine; Carbamazepine; Carbaryl; Carbendazim; Cimetidine; Citalopram; Cotinine; DCPMU; Desulfinylfipronil; Desvenlafaxine; Dextromethorphan; Diltiazem; Dimethylxanthine; Diphenhydramine; Diuron; Erythromycin; Famotidine; Fexofenadine; Fipronil; Fipronil amide; Fipronil sulfide; Fipronil sulfone; Fluconazole; Gabapentin; Hexazinone; Hydrocortisone; Lamivudine; Lidocaine; Malathion; Metformin; Methadone; Methocarbamol; Methylbenzotriazole; Metoprolol; Morphine; Nadolol; Nicotine; Norverapamil; OIET; Oxycodone; Penciclovir; Pentoxifylline; Piperonyl butoxide; Piperonyl butoxide; Prometon; Propoxur; Propranolol; Pseudoephed+Ephedrin; Ranitidine; Sertraline; Sitagliptin; Sulfamethoxazole; Temazepam; Theophylline; Tramadol; Triamterene; Trimethoprim; Venlafaxine</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table2_Methods.txt for additional method information.</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>nd</edomv>\n <edomvd>not detected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>E</edomv>\n <edomvd>estimated value</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rows 8-11</attrlabl>\n <attrdef>Parameter information corresponding to row headers: Units of measure; Analyzing laboratory; Compound group; NWIS parameter code</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ug/L</edomv>\n <edomvd>micrograms per liter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NWQL</edomv>\n <edomvd>National Water Quality Laboratory in Denver, Colorado</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>PEST</edomv>\n <edomvd>Pesticide</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>PHARM</edomv>\n <edomvd>Pharmaceutical</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>TW2018_PR_Table11_Estrogenicity.txt</enttypl>\n <enttypd>tab delimited text file.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Site ID</attrlabl>\n <attrdef>Short site ID corresponding to site ID listed in column 1 of Table 1</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Refer to TW2018_PR_Table1_SiteInfo.txt for additional site information.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NWIS station ID</attrlabl>\n <attrdef>U.S. Geological Survey station identification number</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Producer defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NWIS station name</attrlabl>\n <attrdef>U.S. Geological Survey station identification name</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Producer defined.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sampling date (yyyy)</attrlabl>\n <attrdef>Date of sampling in yyyy format</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>y, year</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total estrogenicity</attrlabl>\n <attrdef>Concentration of total estrogenicity in nanograms per liter.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>BD</edomv>\n <edomvd>Below detection</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>See TW2018_PR_Table2_Methods.txt for method information. Units are nanograms per liter.</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This report contains CAS Registry Numbers\xc2\xae, which is a Registered Trademark of the American Chemical Society. CAS recommends the verification of the CASRNs through CAS Client ServicesSM. http://support.cas.org/content/chemical-substances</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9EQS5CS</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20210519</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Kristin Romanok</cntper>\n <cntorg>U.S. Geological Survey, Northeast Region</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>3450 Princeton Pike</address>\n <city>Lawrenceville</city>\n <state>NJ</state>\n <postal>08648</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>609-771-3952</cntvoice>\n <cntfax>609-771-3915</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [Cooperative Fish and Wildlife Research Units](/catalog/item/5a28543ce4b03852bafe152b)
3. [Wyoming Cooperative Fish and Wildlife Research Unit](/catalog/item/5f97112dd34e198cb77db04e)
4. [Ungulate Migrations of the Western United States, Volume 1](/catalog/item/5f80c88d82cebef40f0fefc5)
5. [Migration Routes of Elk in the Jackson Herd in Wyoming](/catalog/folder/5f8db61982ce32418791d56d)
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## Dates
Publication Date2020-11-09Start Date2006-01-01End Date2018-01-01
## Citation
Kauffman, M.J., Copeland, H.E., Cole, E., Cuzzocreo, M., Dewey, S., Fattebert, J., Gagnon, J., Gelzer, E., Graves, T.A., Hersey, K., Kaiser, R., Meacham, J., Merkle, J., Middleton, A., Nunez, T., Oates, B., Olson, D., Olson, L., Sawyer, H., Schroeder, C., Sprague, S., Steingisser, A., and Thonhoff, M., 2020, Ungulate Migrations of the Western United States, Volume 1: U.S. Geological Survey data release, https://doi.org/10.5066/P9O2YM6I.
## Summary
Elk within the Jackson herd have been the focus of management for over a century. The herd, which numbers between 9,000 -13,000, winters in Jackson Hole. Most of the herd winters in the sagebrush basins and irrigated fields of the National Elk Refuge, with less than a quarter of the herd wintering in the Gros Ventre drainage to the east. Migrating animals travel an average one-way distance of 39 miles, with some migrating as far as 168 miles. The herd is partially migratory, containing both migrant and residents. In spring, the migrants move north on either side of Jackson Lake, into the eastern foothills of the Teton Range and into the upper drainages of the Snake River and the southern portion of Yellowstone National Park. A smaller \[...\]
## Summary
Elk within the Jackson herd have been the focus of management for over a century. The herd, which numbers between 9,000 -13,000, winters in Jackson Hole. Most of the herd winters in the sagebrush basins and irrigated fields of the National Elk Refuge, with less than a quarter of the herd wintering in the Gros Ventre drainage to the east. Migrating animals travel an average one-way distance of 39 miles, with some migrating as far as 168 miles. The herd is partially migratory, containing both migrant and residents. In spring, the migrants move north on either side of Jackson Lake, into the eastern foothills of the Teton Range and into the upper drainages of the Snake River and the southern portion of Yellowstone National Park. A smaller segment migrates east up the Gros Ventre River drainage and its upper tributaries. A study by the National Elk Refuge documented a long-term reduction in the migratory segment of the herd between 1978 and 2012. This trend is thought to be driven by declining calf recruitment of the migratory segment. Few obstacles to migration exist for this herd, which moves through a vast expanse of habitats managed by either the National Forest or National Park system. These data provide the location of migration routes for Elk (Cervus canadensis) in the Jackson herd in Wyoming. They were developed from Brownian bridge movement models using 595 migration sequences collected from a sample size of 247 animals comprising GPS locations collected every 2-8 hours.
## Contacts
Point of Contact
:
[Alyson Courtemanch](/catalog/catalogParty/show?partyId=Alyson+Courtemanch),
[Wyoming Game and Fish Department](/catalog/catalogParty/show?partyId=Wyoming+Game+and+Fish+Department)
Originator
:
[Alyson Courtemanch](/catalog/catalogParty/show?partyId=Alyson+Courtemanch),
[Eric Cole](/catalog/catalogParty/show?partyId=Eric+Cole),
[Sarah Dewey](/catalog/catalogParty/show?partyId=Sarah+Dewey)
Metadata Contact
:
[Alyson Courtemanch](/catalog/catalogParty/show?partyId=Alyson+Courtemanch),
[Wyoming Game and Fish Department](/catalog/catalogParty/show?partyId=Wyoming+Game+and+Fish+Department)
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:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
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| Elk\_WY\_Jackson\_Routes\_Ver1\_2019.xml<br>_Original FGDC Metadata_ | View | 17.61 KB |
| Elk\_WY\_Jackson\_Routes\_Ver1\_2019.dbf | | 266.82 KB |
| Elk\_WY\_Jackson\_Routes\_Ver1\_2019.prj | | 435 Bytes |
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Elk\_WY\_Jackson\_Routes\_Ver1\_2019.zip
## Related External Resources
Type: Map Viewer
| | |
| --- | --- |
| Western Migrations Data Viewer | [https://westernmigrations.net](https://westernmigrations.net "https://westernmigrations.net") |
Type: Related Primary Publication
| | |
| --- | --- |
| Ungulate Migrations of the Western United States | [https://doi.org/10.3133/sir20205101](https://doi.org/10.3133/sir20205101 "https://doi.org/10.3133/sir20205101") |
## Purpose
Across the western U.S., many ungulate herds must migrate seasonally to access resources and avoid harsh winter conditions. Because these corridors traverse vast landscapes (i.e., up to 150 miles), they are increasingly threatened by roads, fencing, subdivisions and other development. Over the last decade, many new tracking studies have been conducted on migratory herds, and analytical methods have been developed that allow for population-level corridors and stopovers to be mapped and prioritized. In 2018, the U.S. Geological Survey assembled a Corridor Mapping Team to provide technical assistance to western states working to map bison, elk, moose, mule deer, and pronghorn corridors using existing GPS data. Based out of the Wyoming Cooperative Fish and Wildlife Research Unit, the team consists of federal scientists, university researchers, and biologists and analysts from participating state agencies. In its first year, the team has worked to develop a standardized analytical and computational methods and a workflow applicable to data sets typically collected by state agencies. In 2019, the team completed analyses necessary to map corridors, stopovers, and winter ranges in Arizona, Idaho, Nevada, Utah, and Wyoming. A total of 26 corridors, 16 migration routes, 25 stopovers, and 9 winter ranges, were mapped across these states and are included in this project. The Ungulate Migrations of the Western United States report and associated map archive provides the means for corridors to be taken into account by state and federal transportation officials, land and wildlife managers, planners, and other conservationists working to maintain big game corridors in the western states.
## [Map](/catalog/item/imap/5f8db61982ce32418791d56d)
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## Provenance
## Additional Information
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Alyson Courtemanch</origin>\n <origin>Eric Cole</origin>\n <origin>Sarah Dewey</origin>\n <pubdate>20201109</pubdate>\n <title>Migration Routes of Elk in the Jackson Herd in Wyoming</title>\n <edition>1.0</edition>\n <geoform>vector digital data</geoform>\n <onlink>https://doi.org/10.5066/P9O2YM6I</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Matthew Kauffman</origin>\n <origin>Holly Copeland</origin>\n <origin>Jodi Berg</origin>\n <origin>Scott Bergen</origin>\n <origin>Eric K. Cole</origin>\n <origin>Matthew Cuzzocreo</origin>\n <origin>Sarah Dewey</origin>\n <origin>Julien Fattebert</origin>\n <origin>Jeff Gagnon</origin>\n <origin>Emily Gelzer</origin>\n <origin>Chris Geremia</origin>\n <origin>Tabitha Graves</origin>\n <origin>Kent Hersey</origin>\n <origin>Mark Hurley</origin>\n <origin>Rusty Kaiser</origin>\n <origin>James Meacham</origin>\n <origin>Jerod Merkle</origin>\n <origin>Arthur Middleton</origin>\n <origin>Tristan Nunez</origin>\n <origin>Brendan Oates</origin>\n <origin>Daniel Olson</origin>\n <origin>Lucas Olson</origin>\n <origin>Hall Sawyer</origin>\n <origin>Cody Schroeder</origin>\n <origin>Scott Sprague</origin>\n <origin>Alethea Steingisser</origin>\n <origin>Mark Thonhoff</origin>\n <pubdate>20201001</pubdate>\n <title>Ungulate Migrations of the Western United States</title>\n <geoform>publication</geoform>\n <onlink>https://doi.org/10.3133/sir20205101</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Elk within the Jackson herd have been the focus of management for over a century. The herd, which numbers between 9,000 -13,000, winters in Jackson Hole. Most of the herd winters in the sagebrush basins and irrigated fields of the National Elk Refuge, with less than a quarter of the herd wintering in the Gros Ventre drainage to the east. Migrating animals travel an average one-way distance of 39 miles, with some migrating as far as 168 miles. The herd is partially migratory, containing both migrant and residents. In spring, the migrants move north on either side of Jackson Lake, into the eastern foothills of the Teton Range and into the upper drainages of the Snake River and the southern portion of Yellowstone National Park. A smaller segment migrates east up the Gros Ventre River drainage and its upper tributaries. A study by the National Elk Refuge documented a long-term reduction in the migratory segment of the herd between 1978 and 2012. This trend is thought to be driven by declining calf recruitment of the migratory segment. Few obstacles to migration exist for this herd, which moves through a vast expanse of habitats managed by either the National Forest or National Park system.\n\nThese data provide the location of migration routes for Elk (Cervus canadensis) in the Jackson herd in Wyoming. They were developed from Brownian bridge movement models using 595 migration sequences collected from a sample size of 247 animals comprising GPS locations collected every 2-8 hours.</abstract>\n <purpose>Across the western U.S., many ungulate herds must migrate seasonally to access resources and avoid harsh winter conditions. Because these corridors traverse vast landscapes (i.e., up to 150 miles), they are increasingly threatened by roads, fencing, subdivisions and other development. Over the last decade, many new tracking studies have been conducted on migratory herds, and analytical methods have been developed that allow for population-level corridors and stopovers to be mapped and prioritized. In 2018, the U.S. Geological Survey assembled a Corridor Mapping Team to provide technical assistance to western states working to map bison, elk, moose, mule deer, and pronghorn corridors using existing GPS data. Based out of the Wyoming Cooperative Fish and Wildlife Research Unit, the team consists of federal scientists, university researchers, and biologists and analysts from participating state agencies. In its first year, the team has worked to develop a standardized analytical and computational methods and a workflow applicable to data sets typically collected by state agencies. In 2019, the team completed analyses necessary to map corridors, stopovers, and winter ranges in Arizona, Idaho, Nevada, Utah, and Wyoming. A total of 26 corridors, 16 migration routes, 25 stopovers, and 9 winter ranges, were mapped across these states and are included in this project. The Ungulate Migrations of the Western United States report and associated map archive provides the means for corridors to be taken into account by state and federal transportation officials, land and wildlife managers, planners, and other conservationists working to maintain big game corridors in the western states.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20060101</begdate>\n <enddate>20180101</enddate>\n </rngdates>\n </timeinfo>\n <current>observed</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-111.0083</westbc>\n <eastbc>-109.7597</eastbc>\n <northbc>44.3205</northbc>\n <southbc>43.2007</southbc>\n </bounding>\n <descgeog>Jackson, WY</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>migration (organisms)</themekey>\n <themekey>migratory species</themekey>\n <themekey>animal behavior</themekey>\n <themekey>migration route</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5f8db61982ce32418791d56d</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>Jackson</placekey>\n <placekey>Wyoming</placekey>\n <placekey>United States</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>Dataset authors will retain ownership of the data provided. The burden for determining fitness for use lies entirely with the user. For purposes of publication or dissemination, citations, or credit should be given to the authors/originators listed herein.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Alyson Courtemanch</cntper>\n <cntorg>Wyoming Game and Fish Department</cntorg>\n </cntperp>\n <cntpos>Regional Biologist</cntpos>\n <cntaddr>\n <addrtype>physical</addrtype>\n <address>420 N Cache Street</address>\n <city>Jackson</city>\n <state>Wyoming</state>\n <postal>83001</postal>\n </cntaddr>\n <cntvoice>307-733-2321</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <taxonomy>\n <keywtax>\n <taxonkt>None</taxonkt>\n <taxonkey>Cervus canadensis</taxonkey>\n </keywtax>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Deuterostomia</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Chordata</taxonrv>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Vertebrata</taxonrv>\n <taxoncl>\n <taxonrn>Infraphylum</taxonrn>\n <taxonrv>Gnathostomata</taxonrv>\n <taxoncl>\n <taxonrn>Superclass</taxonrn>\n <taxonrv>Tetrapoda</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Mammalia</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Theria</taxonrv>\n <taxoncl>\n <taxonrn>Infraclass</taxonrn>\n <taxonrv>Eutheria</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Artiodactyla</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Cervidae</taxonrv>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Cervinae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Cervus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Cervus elaphus</taxonrv>\n <taxoncl>\n <taxonrn>Subspecies</taxonrn>\n <taxonrv>Cervus elaphus canadensis</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxonomy>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>We checked to ensure values were in expected ranges (e.g. locations of corridors were as expected, and dates of GPS observations were consistent with the project time period).</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>To identify migration routes, we first extracted migration sequences for each individual-year. To identify spring and fall migration start and end dates for a given individual in a given year, we visually inspected the Net Squared Displacement (NSD) curve (Bunnefeld et al. 2011, Bastille-Rousseau et al. 2016) alongside digital maps of the animal\xe2\x80\x99s movement trajectory (Merkle and others, 2017). The NSD represents the square of the straight-line distance between any GPS location of an animal\xe2\x80\x99s movement trajectory and a point within the animal\xe2\x80\x99s winter range. When an animal stays within a defined home range, the NSD varies relatively little over time as the animal travels. However, when an animal migrates away from its winter range, the NSD of each successive location increases until it settles in its summer range (Fig. 1). The days with clear breakpoints in the NSD curves represent the start and end dates for migration and were used to define migration sequences for spring and fall migration. Migration routes were mapped by joining successive GPS locations within each given migration sequence.</procdesc>\n <procdate>20200518</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Vector</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>String</sdtstype>\n <ptvctcnt>650</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Albers Conical Equal Area</mapprojn>\n <albers>\n <stdparll>29.5</stdparll>\n <stdparll>45.5</stdparll>\n <longcm>-96.0</longcm>\n <latprjo>23.0</latprjo>\n <feast>0.0</feast>\n <fnorth>0.0</fnorth>\n </albers>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.6096</absres>\n <ordres>0.6096</ordres>\n </coordrep>\n <plandu>meters</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>North_American_Datum_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Elk_WY_Jackson_Routes_Ver1_2019.shp Attribute Table</enttypl>\n <enttypd>Table containing attribute information associated with the data set.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>FID</attrlabl>\n <attrdef>Internal feature number.</attrdef>\n <attrdefs>ESRI</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape</attrlabl>\n <attrdef>Feature geometry.</attrdef>\n <attrdefs>ESRI</attrdefs>\n <attrdomv>\n <udom>Coordinates defining the features.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>mig</attrlabl>\n <attrdef>Unique route ID</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Unique identifier for route merging animal ID, season, and year</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>firstdate</attrlabl>\n <attrdef>Beginning date of migration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Beginning date of migration</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>lastdate</attrlabl>\n <attrdef>Ending date of migration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Ending date of migration</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>id</attrlabl>\n <attrdef>Animal ID</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Unique animal identification number</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>season</attrlabl>\n <attrdef>Season of migration route</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>fa</edomv>\n <edomvd>fall migration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>sp</edomv>\n <edomvd>spring migration</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>year</attrlabl>\n <attrdef>Year of migration route</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2006.0</rdommin>\n <rdommax>2018.0</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Dataset authors will retain ownership of the data provided. The burden for determining fitness for use lies entirely with the user. For purposes of publication or dissemination, citations, or credit should be given to the authors/originators listed herein.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9O2YM6I</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20201109</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Alyson Courtemanch</cntper>\n <cntorg>Wyoming Game and Fish Department</cntorg>\n </cntperp>\n <cntpos>Regional Biologist</cntpos>\n <cntaddr>\n <addrtype>physical</addrtype>\n <address>420 N Cache Street</address>\n <city>Jackson</city>\n <state>Wyoming</state>\n <postal>83001</postal>\n </cntaddr>\n <cntvoice>307-733-2321</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
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3. [Magnetotelluric and gravity data from the Northwest Geysers, California](/catalog/item/5d5deee0e4b01d82ce9619c6)
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## Dates
Publication Date2020-02-13Start Date2017-06-23End Date2017-06-24
## Citation
Peacock, J.R., Earney, T.E., and Schermerhorn, W., 2020, Magnetotelluric and gravity data from the Northwest Geysers, California: U.S. Geological Survey data release, https://doi.org/10.5066/P94D21UL.
## Summary
This dataset consists of 42 magnetotelluric (MT) stations collected in 2017 in the Northwest Geysers, CA. The U.S. Geological Survey acquired these data as part of a project to image the heat source in the Northwest Geysers. Support was from the U.S. Geological Survey's Volcano Hazards Program.
## Summary
This dataset consists of 42 magnetotelluric (MT) stations collected in 2017 in the Northwest Geysers, CA. The U.S. Geological Survey acquired these data as part of a project to image the heat source in the Northwest Geysers. Support was from the U.S. Geological Survey's Volcano Hazards Program.
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| gz15\_meta.xml<br>_Original FGDC Metadata_ | View | 13.37 KB | application/fgdc+xml |
| gz15.edi | | 16.16 KB | text/plain |
| gz15.png |  | 244.71 KB | image/png |
| gz15.mth5 | | 302.99 MB | application/x-hdf |
## Purpose
The purpose of this data release is to provide MT station locations, time-series data, and processed transfer functions to the public.
## Preview Image

## [Map](/catalog/item/imap/5d5f350be4b01d82ce9850e0)
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## Tags
Theme
- [Apparent Resistivity](/catalog/items?q=&filter=tags%3DApparent+Resistivity "Apparent Resistivity (Apparent Resistivity, Theme, None)")
- [Earth Magnetic Field](/catalog/items?q=&filter=tags%3DEarth+Magnetic+Field "Earth Magnetic Field (Earth Magnetic Field, Theme, None)")
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- [GeoscientificInformation](/catalog/items?q=&filter=tags%3DGeoscientificInformation "GeoscientificInformation (GeoscientificInformation, Theme, ISO 19115 Topic Categories)")
- [Geothermal](/catalog/items?q=&filter=tags%3DGeothermal "Geothermal (Geothermal, Theme, None)")
- [Impedance](/catalog/items?q=&filter=tags%3DImpedance "Impedance (Impedance, Theme, None)")
- [MT](/catalog/items?q=&filter=tags%3DMT "MT (MT, Theme, None)")
- [Magnetotellurics](/catalog/items?q=&filter=tags%3DMagnetotellurics "Magnetotellurics (Magnetotellurics, Theme, None)")
- [Phase](/catalog/items?q=&filter=tags%3DPhase "Phase (Phase, Theme, None)")
- [Time Series](/catalog/items?q=&filter=tags%3DTime+Series "Time Series (Time Series, Theme, None)")
- [Tipper](/catalog/items?q=&filter=tags%3DTipper "Tipper (Tipper, Theme, None)")
- [VHP](/catalog/items?q=&filter=tags%3DVHP "VHP (VHP, Theme, None)")
- [Volcano Hazards Program](/catalog/items?q=&filter=tags%3DVolcano+Hazards+Program "Volcano Hazards Program (Volcano Hazards Program, Theme, None)")
- [electromagnetic surveying](/catalog/items?q=&filter=tags%3Delectromagnetic+surveying "electromagnetic surveying (electromagnetic surveying, Theme, USGS Thesaurus)")
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- [magnetotelluric surveying](/catalog/items?q=&filter=tags%3Dmagnetotelluric+surveying "magnetotelluric surveying (magnetotelluric surveying, Theme, USGS Thesaurus)")
Place
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- [Lake County](/catalog/items?q=&filter=tags%3DLake+County "Lake County (Lake County, Place, Geographic Names Information System (GNIS))")
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- [The Geysers](/catalog/items?q=&filter=tags%3DThe+Geysers "The Geysers (The Geysers, Place, Common Geographic Areas)")
- [The Geysers](/catalog/items?q=&filter=tags%3DThe+Geysers "The Geysers (The Geysers, Place, Geographic Names Information System (GNIS))")
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Jared R. Peacock</origin>\n <pubdate>20200213</pubdate>\n <title>Magnetotelluric data from the Northwest Geysers, 2017, station gz15</title>\n <geoform>ASCII data, shapefile, image</geoform>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Additional information about Originator: Jared R. Peacock, https://orcid.org/0000-0002-0439-0224</othercit>\n <onlink>https://doi.org/10.5066/P94D21UL</onlink>\n <lworkcit>\n <citeinfo>\n <origin>J. R. Peacock</origin>\n <origin>M. T. Mangan</origin>\n <origin>T. Earney</origin>\n <origin>W. Schermerhorn</origin>\n <origin>J. Glen</origin>\n <origin>M. Walters</origin>\n <origin>C. Hartline</origin>\n <pubdate>20190822</pubdate>\n <title>Geophysical imaging of the Northwest Geysers, California</title>\n <geoform>Publication</geoform>\n <serinfo>\n <sername>Journal of Volcanology and Geothermal Research</sername>\n <issue>xx</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>doi:xx.xxxx/xxxxxxxxx.x</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This dataset consists of 42 magnetotelluric (MT) stations collected in 2017 in the Northwest Geysers, CA. The U.S. Geological Survey acquired these data as part of a project to image the heat source in the Northwest Geysers. Support was from the U.S. Geological Survey's Volcano Hazards Program.</abstract>\n <purpose>The purpose of this data release is to provide MT station locations, time-series data, and processed transfer functions to the public.</purpose>\n <supplinf>This data product contains raw time-series data (*.mth5 files) and remote-referenced magnetotelluric (MT) transfer functions (TFs), which define the frequency dependent linear relations between components of electromagnetic (EM) field variations measured at a single site (*.edi files). Two types of TF are provided for most sites, impedance data relating horizontal electric and magnetic fields and tipper data, relating vertical and horizontal magnetic fields. All of the TFs provide input data for subsequent MT inversion and interpretation. They are estimated from the raw EM time series by (a) Fourier transforming data in a series of short overlapping time windows, and (b) applying robust regression methods to calculate TFs from the resulting spectral field estimates. For remote reference processing, data from one or more synchronously recording sites are used for more effective signal/noise separation. The supplied TFs are calculated for a range of periods (which may vary, depending on instrumentation and deployment time), as well as estimation error covariances. \nReferences relevant to this release include: Chave, A.D. and D. J. Thompson, 2004, Bounded influence estimation of magnetotelluric response functions, Geophysical Journal International, 157, pp. 988-1006. \nDocumentation for robust MT data processing program BIRRP by Dr. Alan Chave http://www.whoi.edu/science/AOPE/people/achave/Site/Next1.html \nThis metadata documents the full suite of MT data for this site and includes the files below. Their contents are described in the PDF Guide_to_MT_Data_Types.pdf and an accompanying data dictionary (see entities and attributes for more information).\nFile List:\ngz15.edi\ngz15.png\ngz15.mth5</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20170623</begdate>\n <begtime>0945000000Z</begtime>\n <enddate>20170624</enddate>\n <endtime>0841309921Z</endtime>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-122.83351</westbc>\n <eastbc>-122.83351</eastbc>\n <northbc>38.83495</northbc>\n <southbc>38.83495</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>Geology, Minerals, Energy, and Geophysics Science Center</themekey>\n <themekey>GMEGSC</themekey>\n <themekey>Volcano Hazards Program</themekey>\n <themekey>VHP</themekey>\n <themekey>Magnetotellurics</themekey>\n <themekey>MT</themekey>\n <themekey>Time Series</themekey>\n <themekey>Impedance</themekey>\n <themekey>Apparent Resistivity</themekey>\n <themekey>Phase</themekey>\n <themekey>Tipper</themekey>\n <themekey>Earth Magnetic Field</themekey>\n <themekey>Geothermal</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Categories</themekt>\n <themekey>GeoscientificInformation</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>geophysics</themekey>\n <themekey>electromagnetic surveying</themekey>\n <themekey>magnetotelluric surveying</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d5f350be4b01d82ce9850e0</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>The Geysers</placekey>\n <placekey>Lake County</placekey>\n <placekey>Napa County</placekey>\n <placekey>Sonoma County</placekey>\n </place>\n <place>\n <placekt>Common Geographic Areas</placekt>\n <placekey>California</placekey>\n <placekey>The Geysers</placekey>\n </place>\n <temporal>\n <tempkt>USGS Thesaurus</tempkt>\n <tempkey>Mesozoic</tempkey>\n <tempkey>Cenozoic</tempkey>\n </temporal>\n </keywords>\n <accconst>None</accconst>\n <useconst>There is no guarantee concerning the accuracy of the data. Any user who modifies the data is obligated to describe the types of modifications they perform. Data have been checked to ensure the accuracy. If any errors are detected, please notify the originating office. The U.S. Geological Survey strongly recommends that careful attention be paid to the metadata file associated with these data. Acknowledgement of the U.S. Geological Survey would be appreciated in products derived from these data. User specifically agrees not to misrepresent the data, nor to imply that changes made were approved or endorsed by the U.S. Geological Survey. Please refer to https://www2.usgs.gov/laws/privacy.html for the USGS disclaimer</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Jared R. Peacock</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>Mailing and physical</addrtype>\n <address>MS989 345 Middlefield Rd.</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>650-329-4833</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Volcano Hazards Program</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>Spatial locations were determined from hand-held global positioning system (GPS) devices. In general, the GPS units used by field scientists recorded sample locations to within 100 feet (30 meters) of the true location. The locations were verified using a geographic information system (GIS) and digital topographic maps.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>Elevations were determined from USGS, The National Map, Bulk Point Query Service based on the USGS 3DEP (3D elevation program) 1/3 arc-second layer (10-meter). Vertical accuracy was not assessed for this specific dataset. The overall absolute vertical accuracy of the seamless DEMs within the conterminous United States (2013), expressed as the root mean square error (RMSE) of 25,310 reference points, was 1.55 meters (USGS, 2014 - http://dx.doi.org/10.3133/ofr20141008). The vertical accuracy varies across the U.S. as a result of differences in source DEM quality, terrain relief, land cover, and other factors.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Time-series electric and magnetic field data were collected using wideband magnetotelluric instrumentation at each site location. These data are provided in HDf5 format (*.mth5 files) for all stations.</procdesc>\n <procdate>20170623</procdate>\n </procstep>\n <procstep>\n <procdesc>Fourier spectra were calculated for windowed time-series data (*.mth5 files) and used to calculate cross- and auto-power spectra. Impedance and tipper transfer functions (see *.edi files) were calculated at each station. System and sensor responses (in *.mth5 files) were deconvolved during this process. By this process, transfer function estimates were made for particular frequency bandwidths for each data run (4096 and 256 Hz sampling frequencies).</procdesc>\n <procdate>20171124</procdate>\n </procstep>\n <procstep>\n <procdesc>The transfer function estimates provided in the *.edi files and displayed in the *.png files were constructed by selecting optimal TF estimates at each period from a suite of data runs. High (4096 Hz sampling rate) and low (256 Hz sampling rate) frequency wideband recordings provided TF estimates for 1000-1 Hz and 0.001-1 Hz, respectively. Optimal TFs were selected based on examination of phase slope, smooth curve assumptions, and operator discretion.</procdesc>\n <procdate>20171124</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.0197305745</latres>\n <longres>0.0273088247</longres>\n <geogunit>Decimal seconds</geogunit>\n </geograph>\n <geodetic>\n <horizdn>D_WGS_1984</horizdn>\n <ellips>WGS_1984</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257223563</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <overview>\n <eaover>Guide_MT_Data.pdf</eaover>\n <eadetcit>The file, Guide_MT_Data.pdf, describes available magnetotelluric data types from the USGS. This report describes typical magnetotelluric instrumentation and the various data types required in MT processing and data quality assessment (including electric and magnetic field time-series, instrument response files, MT HDF5 format (MTH5), and transfer functions), accessible at, https://www.sciencebase.gov/catalog/item/5ca7db54e4b0c3b0064e2f8b?name=Guide_to_Magnetotelluric_Data_Types.pdf.</eadetcit>\n </overview>\n <overview>\n <eaover>MT_Dictionary.csv</eaover>\n <eadetcit>A data dictionary describing attributes is accessible at, https://www.sciencebase.gov/catalog/item/5ca7db54e4b0c3b0064e2f8b?name=MT_DataDictionary.csv.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>Science Base</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>Mailing and physical</addrtype>\n <address>Building 810, Mail Stop 302, Denver Federal Center</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80255</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200820</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Jared R. Peacock</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Research Geophysicist</cntpos>\n <cntaddr>\n <addrtype>Mailing and physical</addrtype>\n <address>MS989 345 Middlefield Rd.</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>650-329-4833</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Oklahoma-Texas Water Science Center](/catalog/item/56b3ea3ae4b0cc79997fb61d)
3. [Geospatial and survey data for flood-inundation maps in a 23-mile reach of the Medina River at Bandera, Texas, 2018](/catalog/item/5c1aa000e4b0708288c59af4)
4. [Survey level data for two cross-sections in a 23-mile reach of the Medina River at Bandera, Texas, 2017](/catalog/folder/5d1bb1e2e4b0941bde6210cc)
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## Dates
Publication Date2019-08-23Start Date2017-03-14End Date2017-03-15
## Citation
Engel, F.L., and Choi, N., 2019, Geospatial and survey data for flood-inundation maps in a 23-mile reach of the Medina River at Bandera, Texas, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9WYD6LS.
## Summary
Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the Bandera County River Authority and Groundwater District and with the Texas Water Development Board for a 23-mile reach of the Medina River extending from Winans Creek to English Crossing, Texas. The flood-inundation maps represent a range of selected water-surface elevations at USGS streamflow-gaging station 08178880 Medina River at Bandera, Texas (hereinafter referred to as the “Bandera station”). In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model HEC-RAS (Hydrologic Engineering Center River Analysis System) (Davidian, 1984; U.S. Army Corps of Engineers, 2016a, b). \[...\]
## Summary
Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the Bandera County River Authority and Groundwater District and with the Texas Water Development Board for a 23-mile reach of the Medina River extending from Winans Creek to English Crossing, Texas. The flood-inundation maps represent a range of selected water-surface elevations at USGS streamflow-gaging station 08178880 Medina River at Bandera, Texas (hereinafter referred to as the “Bandera station”). In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model HEC-RAS (Hydrologic Engineering Center River Analysis System) (Davidian, 1984; U.S. Army Corps of Engineers, 2016a, b). Two cross-section level surveys were performed by U.S. Geological Survey crews near the U.S. Geological Survey streamflow gaging station 08178880 Medina River at Bandera, Texas, and 08178980 Medina River above English Crossing near Pipe Creek, Texas, in March 2017. To better represent channel bathymetry in the one-dimensional step-backwater model the average maximum water depth from the both cross section surveys, 1.6 feet (ft), was incorporated in the model geometry. The upstream and downstream cross sections of each river crossing structure in the model were therefore lowered by 1.6 ft. Detailed information about the methods and data used for this analysis are provided in the companion interpretive report: Choi, N., and Engel, F.L., 2019, Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018: U.S. Geological Survey Scientific Investigations Report 2019-5067, 15 p., https://doi.org/10.3133/sir20195067.
## Contacts
Originator
:
[Frank L Engel](/catalog/catalogParty/show?partyId=59672),
[Namjeong Choi](/catalog/catalogParty/show?partyId=73986)
Metadata Contact
:
[Public Information Officer, Oklahoma-Texas Water Science Center](/catalog/catalogParty/show?partyId=Public+Information+Officer%2C+Oklahoma-Texas+Water+Science+Center)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
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Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| medbanTX\_survey\_level\_note\_metadata\_FGDC.xml<br>_Original FGDC Metadata_ | View | 30.68 KB | application/fgdc+xml |
| medbanTX\_survey\_landing\_page\_metadata\_FGDC.xml<br>_Original FGDC Metadata_ | View | 14.9 KB | application/fgdc+xml |
| medbanTX\_level\_survey\_dataset.zip | | 12.85 KB | application/zip |
## Purpose
The flood-inundation maps documented by this data release and its companion interpretive report, along with online information regarding the near-real time stage for the Bandera station, and forecast river stages from the NWS AHPS, are intended to provide emergency management personnel and residents with information critical during flood response activities such as evacuations and road closures, as well information for use in post-flood recovery efforts.
## [Map](/catalog/item/imap/5d1bb1e2e4b0941bde6210cc)
[](/catalog/item/imap/5d1bb1e2e4b0941bde6210cc)
## Communities
- USGS Oklahoma-Texas Water Science Center
## Tags
Theme
- [GIS](/catalog/items?q=&filter=tags%3DGIS "GIS (GIS, Theme, None)")
- [flood-inundation maps](/catalog/items?q=&filter=tags%3Dflood-inundation+maps "flood-inundation maps (flood-inundation maps, Theme, None)")
- [floodplain](/catalog/items?q=&filter=tags%3Dfloodplain "floodplain (floodplain, Theme, Marine Realms Information Bank (MRIB) keywords)")
- [floodplains](/catalog/items?q=&filter=tags%3Dfloodplains "floodplains (floodplains, Theme, Alexandria Digital Library Feature Type Thesaurus)")
- [floods](/catalog/items?q=&filter=tags%3Dfloods "floods (floods, Theme, USGS Thesaurus)")
- [geographic information system](/catalog/items?q=&filter=tags%3Dgeographic+information+system "geographic information system (geographic information system, Theme, None)")
- [geospatial analysis](/catalog/items?q=&filter=tags%3Dgeospatial+analysis "geospatial analysis (geospatial analysis, Theme, USGS Thesaurus)")
- [geospatial data](/catalog/items?q=&filter=tags%3Dgeospatial+data "geospatial data (geospatial data, Theme, None)")
- [geospatial datasets](/catalog/items?q=&filter=tags%3Dgeospatial+datasets "geospatial datasets (geospatial datasets, Theme, USGS Thesaurus)")
- [high-water marks](/catalog/items?q=&filter=tags%3Dhigh-water+marks "high-water marks (high-water marks, Theme, None)")
- [hydraulic engineering](/catalog/items?q=&filter=tags%3Dhydraulic+engineering "hydraulic engineering (hydraulic engineering, Theme, USGS Thesaurus)")
- [hydraulic model](/catalog/items?q=&filter=tags%3Dhydraulic+model "hydraulic model (hydraulic model, Theme, None)")
- [hydrology](/catalog/items?q=&filter=tags%3Dhydrology "hydrology (hydrology, Theme, USGS Thesaurus)")
- [inlandWaters](/catalog/items?q=&filter=tags%3DinlandWaters "inlandWaters (inlandWaters, Theme, ISO 19115 Topic Category)")
- [maps and atlases](/catalog/items?q=&filter=tags%3Dmaps+and+atlases "maps and atlases (maps and atlases, Theme, USGS Thesaurus)")
- [model archive](/catalog/items?q=&filter=tags%3Dmodel+archive "model archive (model archive, Theme, None)")
- [river](/catalog/items?q=&filter=tags%3Driver "river (river, Theme, Marine Realms Information Bank (MRIB) keywords)")
- [stream](/catalog/items?q=&filter=tags%3Dstream "stream (stream, Theme, Marine Realms Information Bank (MRIB) keywords)")
- [streamflow](/catalog/items?q=&filter=tags%3Dstreamflow "streamflow (streamflow, Theme, USGS Thesaurus)")
Place
- [Bandera](/catalog/items?q=&filter=tags%3DBandera "Bandera (Bandera, Place, Common geographic areas)")
- [Bandera County](/catalog/items?q=&filter=tags%3DBandera+County "Bandera County (Bandera County, Place, None)")
- [Medina River](/catalog/items?q=&filter=tags%3DMedina+River "Medina River (Medina River, Place, None)")
- [Texas](/catalog/items?q=&filter=tags%3DTexas "Texas (Texas, Place, Common geographic areas)")
- [United States](/catalog/items?q=&filter=tags%3DUnited+States "United States (United States, Place, Common geographic areas)")
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Frank L. Engel</origin>\n <origin>Namjeong Choi</origin>\n <pubdate>2019</pubdate>\n <title>Gaging station level notes for two cross-section surveys in a 23-mile reach of the Medina River at Bandera, Texas, 2017</title>\n <geoform>vector digital data</geoform>\n <pubinfo>\n <pubplace>Denver, Colo.</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9WYD6LS</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Namjeong Choi</origin>\n <origin>Frank L. Engel</origin>\n <pubdate>2019</pubdate>\n <title>Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018</title>\n <geoform>Publication (Other)</geoform>\n <serinfo>\n <sername>Scientific Investigations Report</sername>\n <issue>2019-5067</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/sir20195067</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the Bandera County River Authority and Groundwater District and with the Texas Water Development Board for a 23-mile reach of the Medina River extending from Winans Creek to English Crossing, Texas. The flood-inundation maps represent a range of selected water-surface elevations at USGS streamflow-gaging station 08178880 Medina River at Bandera, Texas (hereinafter referred to as the \xe2\x80\x9cBandera station\xe2\x80\x9d). In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model HEC-RAS (Hydrologic Engineering Center River Analysis System) (Davidian, 1984; U.S. Army Corps of Engineers, 2016a, b). \nTwo cross-section level surveys were performed by U.S. Geological Survey crews near the U.S. Geological Survey streamflow gaging station 08178880 Medina River at Bandera, Texas, and 08178980 Medina River above English Crossing near Pipe Creek, Texas, in March 2017. To better represent channel bathymetry in the one-dimensional step-backwater model the average maximum water depth from the both cross section surveys, 1.6 feet (ft), was incorporated in the model geometry. The upstream and downstream cross sections of each river crossing structure in the model were therefore lowered by 1.6 ft. Detailed information about the methods and data used for this analysis are provided in the companion interpretive report: Choi, N., and Engel, F.L., 2019, Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018: U.S. Geological Survey Scientific Investigations Report 2019-5067, 15 p., https://doi.org/10.3133/sir20195067.</abstract>\n <purpose>The flood-inundation maps documented by this data release and its companion interpretive report, along with online information regarding the near-real time stage for the Bandera station, and forecast river stages from the NWS AHPS, are intended to provide emergency management personnel and residents with information critical during flood response activities such as evacuations and road closures, as well information for use in post-flood recovery efforts.</purpose>\n <supplinf>Two cross-section surveys were performed by U.S. Geological Survey crews near the U.S. Geological Survey streamflow gaging station 08178880 Medina River at Bandera, Texas and 08178990 Medina River at English Crossing Road near Pipe Creek, Texas. This data set includes two text files (level_08178880.txt and level_08178990.txt) of the survey level data and one Microsoft Excel file (level_notes_08178880_and_08178990.xlsx) that is a duplication of the two text files.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20170314</begdate>\n <enddate>20170315</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-99.16000</westbc>\n <eastbc>-98.96500</eastbc>\n <northbc>29.76000</northbc>\n <southbc>29.68000</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>geospatial analysis</themekey>\n <themekey>hydrology</themekey>\n <themekey>geospatial datasets</themekey>\n <themekey>hydraulic engineering</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d1bb1e2e4b0941bde6210cc</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>Bandera</placekey>\n <placekey>Texas</placekey>\n <placekey>United States</placekey>\n </place>\n </keywords>\n <accconst>None.</accconst>\n <useconst>Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the U.S. Geological Survey in the use of this data, or related materials. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The study limit lines shown indicate the upstream and the downstream boundary of the study reach and more information about the study reach can be found at https://doi.org/10.5066/P9WYD6LS.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>Public Information Officer at the Texas Water Science Center</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>1505 Ferguson Lane</address>\n <city>Austin</city>\n <state>TX</state>\n <postal>78754</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>512-927-3500</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>U.S. Geological Survey, Texas Water Science Center</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 10 Version 1709 (Build 16299.904)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Not available.</attraccr>\n </attracc>\n <logic>Not available.</logic>\n <complete>This dataset is complete; there are no planned revisions or updates at this time.</complete>\n <posacc>\n <horizpa>\n <horizpar>Not available as the lines are meant to display rough study limit.</horizpar>\n </horizpa>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Davidian, J.</origin>\n <pubdate>1984</pubdate>\n <title>Computation of water-surface profiles in open channels</title>\n <geoform>document</geoform>\n <serinfo>\n <sername>Techniques of Water-Resources Investigations</sername>\n <issue>03-A15</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Alexandria, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Davidian, J., 1984, Computation of water-surface profiles in open channels: U.S. Geological Survey Techniques of Water-Resources Investigations, book 3, chap. A15, 48 p.</othercit>\n <onlink>https://pubs.usgs.gov/twri/twri3-a15/pdf/TWRI_3-A15.pdf</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1984</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Davidian 1984</srccitea>\n <srccontr>This reference is cited for a step-backwater model used to create flood-inundation maps for the study.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Army Corps of Engineers</origin>\n <pubdate>2016</pubdate>\n <title>HEC-RAS\xe2\x80\x94River analysis system\xe2\x80\x94Hydraulic reference manual</title>\n <geoform>document</geoform>\n <serinfo>\n <sername>Computer Program Documentation</sername>\n <issue>CPD-69</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Davis, CA</pubplace>\n <publish>U.S. Army Corps of Engineers</publish>\n </pubinfo>\n <othercit>Suggested citation: U.S. Army Corps of Engineers, 2016a, HEC-RAS\xe2\x80\x94River analysis system\xe2\x80\x94Hydraulic reference manual (ver. 5.0, February 2016): U.S. Army Corps of Engineers, 547 p.</othercit>\n <onlink>https://www.hec.usace.army.mil/software/hec-ras/documentation/HEC-RAS%205.0%20Reference%20Manual.pdf</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2016</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>U.S. Army Corps of Engineers, 2016a</srccitea>\n <srccontr>This reference is cited for a step-backwater model used to create flood-inundation maps for the study.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Army Corps of Engineers</origin>\n <pubdate>2016</pubdate>\n <title>HEC-RAS\xe2\x80\x94River analysis system\xe2\x80\x94User\xe2\x80\x99s manual</title>\n <geoform>document</geoform>\n <serinfo>\n <sername>Computer Program Documentation</sername>\n <issue>CPD-68</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Davis, CA</pubplace>\n <publish>U.S. Army Corps of Engineers</publish>\n </pubinfo>\n <othercit>Suggested citation: U.S. Army Corps of Engineers, 2016b, HEC-RAS\xe2\x80\x94River analysis system\xe2\x80\x94User\xe2\x80\x99s manual (ver. 5.0, February 2016): U.S. Army Corps of Engineers, 962 p.</othercit>\n <onlink>https://www.hec.usace.army.mil/SOFTWARE/hec-ras/documentation/HEC-RAS%205.0%20Users%20Manual.pdf</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2016</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>U.S. Army Corps of Engineers, 2016b</srccitea>\n <srccontr>This reference is cited for a step-backwater model used to create flood-inundation maps for the study.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Kenney, T.A.</origin>\n <pubdate>2010</pubdate>\n <title>Levels at gaging stations</title>\n <geoform>document</geoform>\n <serinfo>\n <sername>Techniques and Methods</sername>\n <issue>3\xe2\x80\x93A19</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Surve</publish>\n </pubinfo>\n <othercit>Suggested citation: Kenney, T.A., 2010, Levels at gaging stations: U.S. Geological Survey Techniques and Methods 3\xe2\x80\x93A19, 60 p.</othercit>\n <onlink>https://pubs.usgs.gov/tm/tm3A19/pdf/tm3A19.pdf</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2010</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Kenney, 2010</srccitea>\n <srccontr>This reference is cited for a survey method used for the study.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Instrument setup in a stable location</procdesc>\n <srcused>Kenney, 2010</srcused>\n <procdate>Unknown</procdate>\n </procstep>\n <procstep>\n <procdesc>Time and temperature read</procdesc>\n <srcused>Kenney, 2010</srcused>\n <procdate>Unknown</procdate>\n </procstep>\n <procstep>\n <procdesc>Determination of the maximum expansion and contraction correction for the level circuit</procdesc>\n <srcused>Kenney, 2010</srcused>\n <procdate>Unknown</procdate>\n </procstep>\n <procstep>\n <procdesc>Determination of initial instrument height from a BS (backsight) to the origine</procdesc>\n <srcused>Kenney, 2010</srcused>\n <procdate>Unknown</procdate>\n </procstep>\n <procstep>\n <procdesc>Taking a FS (foresight) on all objective points</procdesc>\n <srcused>Kenney, 2010</srcused>\n <procdate>Unknown</procdate>\n </procstep>\n <procstep>\n <procdesc>Establishment of a turning point</procdesc>\n <srcused>Kenney, 2010</srcused>\n <procdate>Unknown</procdate>\n </procstep>\n <procstep>\n <procdesc>Taking a BS to the turning point</procdesc>\n <srcused>Kenney, 2010</srcused>\n <procdate>Unknown</procdate>\n </procstep>\n <procstep>\n <procdesc>Taking FSs to the objective points</procdesc>\n <srcused>Kenney, 2010</srcused>\n <procdate>Unknown</procdate>\n </procstep>\n <procstep>\n <procdesc>Taking the final shot as a FS taken on the origin reference mark</procdesc>\n <srcused>Kenney, 2010</srcused>\n <procdate>Unknown</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n </spdoinfo>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>medbanTX_level_survey_08178880_20170314.xml</enttypl>\n <enttypd>Cross section level survey note</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Obj</attrlabl>\n <attrdef>Survey object</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>R.M.</edomv>\n <edomvd>Reference mark</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>TP</edomv>\n <edomvd>Turning point</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>XS</edomv>\n <edomvd>Cross section survey point</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LE WS</edomv>\n <edomvd>Left edge of water surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>RE WS</edomv>\n <edomvd>Right edge of water surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rod Temp (C)</attrlabl>\n <attrdef>Survey rod temperature</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>17.8</rdommin>\n <rdommax>17.8</rdommax>\n <attrunit>degrees in Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BS</attrlabl>\n <attrdef>Backsight</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Blank</edomv>\n <edomvd>No measurement was made at the point</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>1.493</rdommin>\n <rdommax>10.437</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Corr BS</attrlabl>\n <attrdef>Corrected backsight</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Blank</edomv>\n <edomvd>No measurement was made at the point</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>1.493</rdommin>\n <rdommax>10.436</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HI</attrlabl>\n <attrdef>Height of instrument</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Blank</edomv>\n <edomvd>No measurement was made at the point</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>10.226</rdommin>\n <rdommax>19.458</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FS</attrlabl>\n <attrdef>Foresight</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Blank</edomv>\n <edomvd>No foresight data available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>1.157</rdommin>\n <rdommax>10.776</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Corr FS</attrlabl>\n <attrdef>Corrected foresight</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Blank</edomv>\n <edomvd>No corrected foresight data available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>1.157</rdommin>\n <rdommax>10.775</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Elev</attrlabl>\n <attrdef>Elevation</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2.007</rdommin>\n <rdommax>16.961</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Closure Adj</attrlabl>\n <attrdef>Closure adjustment</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Blank</edomv>\n <edomvd>No closure adjustment was made</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.0002</rdommin>\n <rdommax>0.001</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Adj Elev</attrlabl>\n <attrdef>Adjusted elevation</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Blank</edomv>\n <edomvd>No adjusted elevation data available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>2.008</rdommin>\n <rdommax>16.961</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Comment</attrlabl>\n <attrdef>Additional comment</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>"LE of water" indicating left edge of water</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>medbanTX_level_survey_08178990_20170315.xml</enttypl>\n <enttypd>Cross section level survey note</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Obj</attrlabl>\n <attrdef>Survey object</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>R.M.</edomv>\n <edomvd>Reference mark</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>TP</edomv>\n <edomvd>Turning point</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>XS</edomv>\n <edomvd>Cross section survey point</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LE WS</edomv>\n <edomvd>Left edge of water surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>RE WS</edomv>\n <edomvd>Right edge of water surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>RTK</edomv>\n <edomvd>Real-time kinematic (RTK) survey (GPS survey) point</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LE BRIDGE</edomv>\n <edomvd>Left edge of bridge</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>RE BRIDGE</edomv>\n <edomvd>Right edge of bridge</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rod Temp (C)</attrlabl>\n <attrdef>Survey rod temperature</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>16.1</rdommin>\n <rdommax>16.1</rdommax>\n <attrunit>degrees in Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BS</attrlabl>\n <attrdef>Backsight</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>Not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>1.426</rdommin>\n <rdommax>1.992</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Corr BS</attrlabl>\n <attrdef>Corrected backsight</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>Not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>1.426</rdommin>\n <rdommax>1.992</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HI</attrlabl>\n <attrdef>Height of instrument</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>No measurement was made at the pointNot applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>11.992</rdommin>\n <rdommax>12.273</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FS</attrlabl>\n <attrdef>Foresight</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>Not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>1.145</rdommin>\n <rdommax>6.765</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Corr FS</attrlabl>\n <attrdef>Corrected foresight</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>Not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>1.145</rdommin>\n <rdommax>6.764</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Elev</attrlabl>\n <attrdef>Elevation</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5.228</rdommin>\n <rdommax>10.847</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Closure Adj</attrlabl>\n <attrdef>Closure adjustment</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>Not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-0.002</rdommin>\n <rdommax>-0.001</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Adj Elev</attrlabl>\n <attrdef>Adjusted elevation</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>--</edomv>\n <edomvd>Not applicable</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>5.227</rdommin>\n <rdommax>10.846</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Comment</attrlabl>\n <attrdef>Additional comment</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>No comment availble</udom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the dataset. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the dataset.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>(303) 202 4220</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner. Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9WYD6LS</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the dataset.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>Frank Engel</cntper>\n </cntorgp>\n <cntpos>Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>5563 De Zavala Road</address>\n <city>San Antonio</city>\n <state>TX</state>\n <postal>78249</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>210-691-9213</cntvoice>\n <cntfax>210-691-9270</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2020-01-06Start Date2019-09-01End Date2023-09-30Revision2020-10-30
## Citation
Slonecker, T., Simon, N., Graham, J., Allen, D., Bufford, B., Evans, M.A., Carpenter, K., Griffin, D., Hall, N., Jones, D.K., Rebich, R.A., and Manning, M., 2020, Hyperspectral Characterization of Common Cyanobacteria Associated with Harmful Algal Blooms (ver. 2.0, October 2020): U.S. Geological Survey data release, https://doi.org/10.5066/P9SY4PSK.
## Summary
This dataset is a collection of hyperspectral imagery profiles of 13 common algae associated with Harmful Algae Blooms (HAB). Data were retrieved from a hyperspectral microscope at, and with the cooperation of, the National Institute of Standards and Technology. Samples were collected from USGS water quality sampling efforts, and were also purchased from commercial vendors of biological materials. Data are shown in basic hyperspectral imagery form, transformed into the first derivative and corrected with a flat field algorithm to account for variations in locale lighting conditions. First posted - January 6, 2020 (available from author) Revised - October 30, 2020 (version 2.0)
## Summary
This dataset is a collection of hyperspectral imagery profiles of 13 common algae associated with Harmful Algae Blooms (HAB). Data were retrieved from a hyperspectral microscope at, and with the cooperation of, the National Institute of Standards and Technology. Samples were collected from USGS water quality sampling efforts, and were also purchased from commercial vendors of biological materials. Data are shown in basic hyperspectral imagery form, transformed into the first derivative and corrected with a flat field algorithm to account for variations in locale lighting conditions.
First posted - January 6, 2020 (available from author)
Revised - October 30, 2020 (version 2.0)
## Contacts
Point of Contact
:
[Terry Slonecker](/catalog/catalogParty/show?partyId=9570)
Process Contact
:
[Terry Slonecker](/catalog/catalogParty/show?partyId=9570)
Originator
:
[Terry Slonecker](/catalog/catalogParty/show?partyId=9570),
[Nancy S Simon](/catalog/catalogParty/show?partyId=9493),
[Jennifer L Graham](/catalog/catalogParty/show?partyId=3839),
[David Allen](/catalog/catalogParty/show?partyId=David+Allen),
[Brittany J Bufford](/catalog/catalogParty/show?partyId=77789),
[Mary A Evans](/catalog/catalogParty/show?partyId=61093),
[Kurt D Carpenter](/catalog/catalogParty/show?partyId=1588),
[Dale Griffin](/catalog/catalogParty/show?partyId=Dale+Griffin),
[Natalie Hall](/catalog/catalogParty/show?partyId=Natalie+Hall),
[Daniel K Jones](/catalog/catalogParty/show?partyId=60927),
[Richard A Rebich](/catalog/catalogParty/show?partyId=8454),
[Michael Manning](/catalog/catalogParty/show?partyId=Michael+Manning)
Metadata Contact
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[Terry Slonecker](/catalog/catalogParty/show?partyId=9570)
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[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
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:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[Office of Land Remote Sensing](/catalog/catalogParty/show?partyId=17120)
USGS Mission Area
:
[Land Resources](/catalog/catalogParty/show?partyId=Land+Resources)
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| | | | |
| --- | --- | --- | --- |
| Hyperspectral-Characterization\_of\_Common\_Cyanobacteria\_Associated\_with\_Harmful\_Algal\_Blooms\_10302020.xml<br>_Original FGDC Metadata_ | View | 16.02 KB | application/fgdc+xml |
| HAB\_Spectra.zip | | 9.77 KB | application/zip |
| HAB\_1D\_Reflectance\_Graphs.zip | | 178.8 KB | application/zip |
| HAB\_Images.zip | | 387.15 KB | application/zip |
| HAB\_Reflectance\_Graphs.zip | | 174.63 KB | application/zip |
| FF\_HAB\_Spectra.zip | | 19.54 KB | application/zip |
| FF\_HAB\_1D\_Reflectance.zip | | 227.07 KB | application/zip |
| FF\_HAB\_Reflectance \_Graphs.zip | | 152.88 KB | application/zip |
| version\_2\_history\_P9SY4PSK.txt<br>“Version History” | | 1.44 KB | text/plain |
## Purpose
Harmful Algal Blooms (HAB) are a major, emerging water quality problem. Remote sensing has been used extensively to document the presence and extent of HAB phenomenon. However, emerging remote sensing technology, known as hyperspectral remote sensing, also known as imaging spectroscopy, captures light in numerous contiguous bands and enables additional data characterization that currently requires laboratory analysis. These hyperspectral profiles are designed to contribute to research on remote detection and analysis of HAB phenomenon.
## Rights
## [Map](/catalog/item/imap/5d5d6b3de4b01d82ce91e4dc)
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## Communities
- USGS Data Release Products
## Tags
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- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
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- [Harmful Algal Blooms](/catalog/items?q=&filter=tags%3DHarmful+Algal+Blooms "Harmful Algal Blooms (Harmful Algal Blooms, Theme, None)")
- [biota](/catalog/items?q=&filter=tags%3Dbiota "biota (biota, Theme, ISO 19115 Topic Category)")
- [cyanobacteria](/catalog/items?q=&filter=tags%3Dcyanobacteria "cyanobacteria (cyanobacteria, Theme, None)")
- [hyperspectral remote sensing](/catalog/items?q=&filter=tags%3Dhyperspectral+remote+sensing "hyperspectral remote sensing (hyperspectral remote sensing, Theme, None)")
- [imaging spectroscopy](/catalog/items?q=&filter=tags%3Dimaging+spectroscopy "imaging spectroscopy (imaging spectroscopy, Theme, None)")
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- [Botany](/catalog/items?q=&filter=tags%3DBotany "Botany (Botany, USGS Scientific Topic Keyword, )")
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## Provenance
Revision 2.0 completed by Terry Slonecker on October 30, 2020. To review the changes that were made, see “version\_2\_history\_P9SY4PSK.txt” in the attached files section.
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9SY4PSK |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Slonecker, Terry</origin>\n <origin>Simon, Nancy</origin>\n <origin>Graham, Jennifer</origin>\n <origin>Allen, David</origin>\n <origin>Bufford, Brittany</origin>\n <origin>Evans, Mary A.</origin>\n <origin>Carpenter, Kurt</origin>\n <origin>Griffin, Dale</origin>\n <origin>Hall, Natalie</origin>\n <origin>Jones, Daniel, K.</origin>\n <origin>Rebich, Richard ,A.</origin>\n <origin>Manning, Michael</origin>\n <pubdate>20200106</pubdate>\n <title>Hyperspectral Characterization of Common Cyanobacteria Associated with Harmful Algal Blooms, Data Release</title>\n <geoform>spreadsheet</geoform>\n <onlink>https://doi.org/10.5066/P9SY4PSK</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This dataset is a collection of hyperspectral imagery profiles of 13 common algae associated with Harmful Algae Blooms (HAB). Data were retrieved from a hyperspectral microscope at, and with the cooperation of, the National Institute of Standards and Technology. Samples were collected from USGS water quality sampling efforts, and were also purchased from commercial vendors of biological materials. Data are shown in basic hyperspectral imagery form, transformed into the first derivative and corrected with a flat field algorithm to account for variations in locale lighting conditions.</abstract>\n <purpose>Harmful Algal Blooms (HAB) are a major, emerging water quality problem. Remote sensing has been used extensively to document the presence and extent of HAB phenomenon. However, emerging remote sensing technology, known as hyperspectral remote sensing, also known as imaging spectroscopy, captures light in numerous contiguous bands and enables additional data characterization that currently requires laboratory analysis. These hyperspectral profiles are designed to contribute to research on remote detection and analysis of HAB phenomenon.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>20200901</caldate>\n </sngdate>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-83.4137</westbc>\n <eastbc>-83.0896</eastbc>\n <northbc>41.9595</northbc>\n <southbc>41.7098</southbc>\n </bounding>\n <descgeog>United States - Western Lake Erie</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Harmful Algal Blooms</themekey>\n <themekey>cyanobacteria</themekey>\n <themekey>imaging spectroscopy</themekey>\n <themekey>hyperspectral remote sensing</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d5d6b3de4b01d82ce91e4dc</themekey>\n </theme>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Terry Slonecker</cntper>\n <cntorg>U.S. Geological Survey, LAND RESOURCES</cntorg>\n </cntperp>\n <cntpos>Research Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 562, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-4289</cntvoice>\n <cntfax>703-648-7825</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>National Institute for Standards and Technology is a collaborator on this project.</datacred>\n <native>These data are presented in standard Excel Spreadsheet CSV format, operated in a Windows 10 operating systems environment. Images within the spreadsheet are standard JPG format.</native>\n <taxonomy>\n <keywtax>\n <taxonkt>ISO 19115</taxonkt>\n <taxonkey>Biota</taxonkey>\n <taxonkey>Algae</taxonkey>\n <taxonkey>Cyanobacteria</taxonkey>\n </keywtax>\n <taxoncl>\n <taxonrn>genus</taxonrn>\n <taxonrv>Anabaena</taxonrv>\n <common>Anabaena</common>\n </taxoncl>\n </taxonomy>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Specimens were visually reviewed for morphological consistency and compared to known images. Samples were purchased from a commercial biological sample organization (Carolina Biological Supply, (www.carolina.com). Genus of samples was reviewed by cyanobacteria experts as part of the FSP process. Some genera were also confirmed from samples later collected in western Lake Erie in 2019.</attraccr>\n </attracc>\n <logic>The data contained in the spreadsheets was derived directly from the energy reflectance of the algal samples themselves. The values are consistent with biological leaf material and vary by pigment concentration and distribution. there are no duplicates and there are no geospatial issues. Some of the data were identified from samples collected in western Lake Erie after they were obtained and processed from a commercial biological supply company (Caroline Biological Supply (https://www.carolina.com). There are no inherence spatial attributes in this dataset. All samples were grown in a laboratory environment.</logic>\n <complete>In general NO. Based on previous work, we expect taxa spectral reflectance to have a certain level of consistency regardless of any geographic influences.</complete>\n <posacc>\n <horizpa>\n <horizpar>Not Applicable</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>Not Applicable</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Terry Slonecker</origin>\n <origin>Nancy Simon</origin>\n <origin>Jennifer Graham</origin>\n <origin>David Allen</origin>\n <origin>Brittany Bufford</origin>\n <origin>Mary Evans</origin>\n <origin>Kurt Carpenter</origin>\n <origin>Dale Griffin</origin>\n <origin>Natalie Hall</origin>\n <origin>Daniel K. Jones</origin>\n <origin>Richard Rebich</origin>\n <origin>Michael Manning</origin>\n <pubdate>20190930</pubdate>\n <title>Hyperspectral Characterization of Common Cyanobacteria Associated with Harmful Algal Blooms</title>\n <geoform>tabular digital data</geoform>\n <onlink>https://doi.org/10.5066/P9SY4PSK</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20190501</begdate>\n <enddate>20190930</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>Carolina Biological Supply</srccitea>\n <srccontr>Carolina Biologic</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>1. Samples were shipped to USGS and NIST\n2. Wet slides of algal material were prepared \n3. Algal slides were reviewed under the hyperspectral microscope\n4. Images of the algal material were collected with a hyperspectral camera.\n5. Hyperspectral images were further analyzed for reflectance, and the first derivative of the reflectance spectra. Image data was also transformed with a flat field correction to account for variations in lighting conditions that might be encountered in the field All of these may be used for species identification or correlation with other biophysical measurements. In this dataset, the original test is supplied along with microscope image and graphs spectral and first derivative plots, all provided for clarity of the data.</procdesc>\n <procdate>20200901</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Terry Slonecker</cntper>\n <cntorg>U.S. Geological Survey, LAND RESOURCES</cntorg>\n </cntperp>\n <cntpos>Research Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 562, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-4289</cntvoice>\n <cntfax>703-648-7825</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Anabaena.csv</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data.</enttypd>\n <enttypds>standard spectroscopic measurements</enttypds>\n </enttyp>\n <attr>\n <attrlabl>x values = wavelength in microns</attrlabl>\n <attrdef>Roger Clark and 2 by Hook et al. CSV files are reflectance values measured relative to and corrected for Spectralon, using standardized algorithms within the PRISM software described by Kokaly, 2011 (USGS Open-file Report 2011-1155).</attrdef>\n <attrdefs>standard spectroscopic measurements</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>397.45</rdommin>\n <rdommax>802.52</rdommax>\n <attrunit>nanometers</attrunit>\n <attrmres>0.1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>y values = reflectance ranging from 0 to 10,000</attrlabl>\n <attrdef>Roger Clark and 2 by Hook et al. CSV files are reflectance values measured relative to and corrected for Spectralon, using standardized algorithms within the PRISM software described by Kokaly, 2011 (USGS Open-file Report 2011-1155).</attrdef>\n <attrdefs>standard spectroscopic measurements</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>28.14</rdommin>\n <rdommax>1846.93</rdommax>\n <attrunit>nanometers (nm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Aphanizomenon</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data.</enttypd>\n <enttypds>Standard VNIR Spectrocopic Measurement</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Cylindrospermum</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data</enttypd>\n <enttypds>standard spectroscopic measurement</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Eucapsis</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data.</enttypd>\n <enttypds>standard spectroscopic measurement</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Gloeocapsa</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Gloeotrichia</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data.</enttypd>\n <enttypds>standard spectroscopic measurement</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Lyngbya</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data.</enttypd>\n <enttypds>standard spectroscopic measurement</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Merismopedia</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data.</enttypd>\n <enttypds>standard spectroscopic measurement</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Microcystis</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data.</enttypd>\n <enttypds>standard spectroscopic measurement</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Nostoc</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data.</enttypd>\n <enttypds>standard spectroscopic measurement</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Oscillatoria</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data.</enttypd>\n <enttypds>standard spectroscopic measurement</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Spirulina</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data.</enttypd>\n <enttypds>standard spectroscopic measurement</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Tolypothrix</enttypl>\n <enttypd>VNIR Spectra in Comma Separated Value (CSV) file containing reflectance data.</enttypd>\n <enttypds>standard spectroscopic measurement</enttypds>\n </enttyp>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9SY4PSK</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20201110</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Terry Slonecker</cntper>\n <cntorg>U.S. Geological Survey, LAND RESOURCES</cntorg>\n </cntperp>\n <cntpos>Research Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 562, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-4289</cntvoice>\n <cntfax>703-648-7825</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Dakota Water Science Center](/catalog/item/56b8f2e6e4b08d617f63a66d)
3. [Ancillary Data Related to Nutrients in the Chesapeake Bay—Data Supporting Structural Equation Modeling of Nutrient Loads](/catalog/item/5773f425e4b07657d1a99038)
4. [Nutrient contributions from point sources, combined sewer overflows, and wastewater treatment plants for selected Chesapeake Bay watersheds](/catalog/folder/577699e3e4b07dd077c87627)
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## Dates
Publication Date2017Start Date1985End Date2012
## Citation
Ryberg, K.R., Sekellick, A.J., and Falcone, J.A., 2017, Ancillary data related to nutrients in the Chesapeake Bay—Data supporting structural equation modeling of nutrient loads: U.S. Geological Survey data release, https://doi.org/10.5066/F7NG4NQ4.
## Summary
The dataset contains estimates for total nitrogen and total phosphorus loads from point sources, combined sewer overflows, wastewater treatment plants that discharge to surface water for selected Chesapeake Bay watersheds. For source information, please refer to the process steps in this metadata report.
## Summary
The dataset contains estimates for total nitrogen and total phosphorus loads from point sources, combined sewer overflows, wastewater treatment plants that discharge to surface water for selected Chesapeake Bay watersheds. For source information, please refer to the process steps in this metadata report.
## Contacts
Point of Contact
:
[Karen R. Ryberg](/catalog/catalogParty/show?partyId=Karen+R.+Ryberg)
Originator
:
[Andrew Sekellick](/catalog/catalogParty/show?partyId=Andrew+Sekellick),
[James Falcone](/catalog/catalogParty/show?partyId=James+Falcone),
[Tamara Ivahnenko](/catalog/catalogParty/show?partyId=Tamara+Ivahnenko),
[Karen R. Ryberg](/catalog/catalogParty/show?partyId=Karen+R.+Ryberg)
Metadata Contact
:
[Karen R. Ryberg](/catalog/catalogParty/show?partyId=Karen+R.+Ryberg)
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:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
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| Nutrient\_contributions\_from\_point\_sources\_combined\_sewer\_overflows\_and\_wastewater\_treatment\_plants\_for\_selected\_Chesapeake\_Bay\_watersheds.xml<br>_Original FGDC Metadata_ | View | 14.44 KB | application/fgdc+xml |
| ptSource\_WWTP\_CSO.csv<br>“data” | | 169.66 KB | text/csv |
## Purpose
These data are part of a study to test causal hypotheses, using structural equation models, related to the drivers of total nitrogen and total phosphorus loads in selected Chesapeake Bay watersheds.
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## Communities
- USGS Dakota Water Science Center
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [nitrogen](/catalog/items?q=&filter=tags%3Dnitrogen "nitrogen (nitrogen, Theme, USGS Thesaurus)")
- [nutrient content (water)](/catalog/items?q=&filter=tags%3Dnutrient+content+%28water%29 "nutrient content (water) (nutrient content (water), Theme, USGS Thesaurus)")
- [phosphorus](/catalog/items?q=&filter=tags%3Dphosphorus "phosphorus (phosphorus, Theme, USGS Thesaurus)")
- [surface water quality](/catalog/items?q=&filter=tags%3Dsurface+water+quality "surface water quality (surface water quality, Theme, USGS Thesaurus)")
- [wastewater discharge](/catalog/items?q=&filter=tags%3Dwastewater+discharge "wastewater discharge (wastewater discharge, Theme, USGS Thesaurus)")
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- [Chesapeake Bay](/catalog/items?q=&filter=tags%3DChesapeake+Bay "Chesapeake Bay (Chesapeake Bay, Place, Geographic Names Information System (GNIS))")
- [Delaware](/catalog/items?q=&filter=tags%3DDelaware "Delaware (Delaware, Place, Geographic Names Information System (GNIS))")
- [District of Columbia](/catalog/items?q=&filter=tags%3DDistrict+of+Columbia "District of Columbia (District of Columbia, Place, Geographic Names Information System (GNIS))")
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- [Potomac River](/catalog/items?q=&filter=tags%3DPotomac+River "Potomac River (Potomac River, Place, Geographic Names Information System (GNIS))")
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## Provenance
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Andrew Sekellick</origin>\n <origin>James Falcone</origin>\n <origin>Tamara Ivahnenko</origin>\n <origin>Karen R. Ryberg</origin>\n <pubdate>2017</pubdate>\n <title>Nutrient contributions from point sources, combined sewer overflows, and wastewater treatment plants for selected Chesapeake Bay watersheds</title>\n <geoform>Comma separated text file</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.5066/F7NG4NQ4</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The dataset contains estimates for total nitrogen and total phosphorus loads from point sources, combined sewer overflows, wastewater treatment plants that discharge to surface water for selected Chesapeake Bay watersheds. For source information, please refer to the process steps in this metadata report.</abstract>\n <purpose>These data are part of a study to test causal hypotheses, using structural equation models, related to the drivers of total nitrogen and total phosphorus loads in selected Chesapeake Bay watersheds.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>1985</begdate>\n <enddate>2012</enddate>\n </rngdates>\n </timeinfo>\n <current>observed</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <descgeog>Chesapeake Bay Watershed</descgeog>\n <bounding>\n <westbc>-80.55161394556775</westbc>\n <eastbc>-74.2272808505554</eastbc>\n <northbc>43.55759203025379</northbc>\n <southbc>36.62479659512296</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>phosphorus</themekey>\n <themekey>nitrogen</themekey>\n <themekey>surface water quality</themekey>\n <themekey>wastewater discharge</themekey>\n <themekey>nutrient content (water)</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:577699e3e4b07dd077c87627</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Chesapeake Bay</placekey>\n <placekey>Virginia</placekey>\n <placekey>Maryland</placekey>\n <placekey>Delaware</placekey>\n <placekey>Pennsylvania</placekey>\n <placekey>New York</placekey>\n <placekey>West Virginia</placekey>\n <placekey>District of Columbia</placekey>\n <placekey>James River</placekey>\n <placekey>Rappahannock River</placekey>\n <placekey>Susquehanna River</placekey>\n <placekey>Potomac River</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Karen R. Ryberg</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>821 E Interstate Avenue</address>\n <city>Bismarck</city>\n <state>North Dakota</state>\n <postal>58503</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>701-250-7422</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>National Water Quality Program National Water-Quality Assessment Project, Chesapeake Bay Program</datacred>\n <tool>\n <tooldesc>The statistical software used was R, an open-source software environment for statistical computing and graphics, https://www.r-project.org/.</tooldesc>\n <toolacc>\n <onlink>https://www.R-project.org/</onlink>\n <toolinst>The software, including the functions used may be downloaded from https://www.R-project.org/.</toolinst>\n </toolacc>\n <toolcont>\n <cntinfo>\n <cntperp>\n <cntper>Karen R. Ryberg</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>821 E Interstate Ave</address>\n <city>Bismarck</city>\n <state>ND</state>\n <postal>58503</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>701-250-7422</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </toolcont>\n <toolcite>\n <citeinfo>\n <origin>R Core Team</origin>\n <pubdate>2016</pubdate>\n <title>R: A language and environment for statistical computing</title>\n </citeinfo>\n </toolcite>\n </tool>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Estimates of wastewater treatment plant total phosphorus flux (or load) were calculated by Tammy Ivanhnenko for the years 1978, 1980, 1982, 1984, 1986, 1988, 1990, 1992, 1996, 2000, 2004, 2008, and 2012. Load estimates were based on the average discharge from the wastewater treatment plants and treatment level, both are reported as part of the U.S. Environmental Protection Agency's Clean Watershed Needs Survey, https://www.epa.gov/cwns. The wastewater treatment level concentrations are based on data from a 2000 U.S. Environmental Protection Agency report (table 2-17; Tetra Tech, Inc. and Andrew Stoddard & Associates, 2000). Values for years not estimated by Ivanhnenko were linearly interpolated, then the series was constrained to the period 1985-2012.\n \n References\n \n Tetra Tech, Inc. and Andrew Stoddard & Associates, 2000, Progress in water quality-An evaluation of the National investment in municipal wastewater treatment: U.S. Environmental Protection Agency Technical Report EPA-832-R-00-008, 452 p., accessed November 5, 2015, at http://water.epa.gov/polwaste/wastewater/treatment/benefits.cfm.</procdesc>\n <procdate>20161019</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>ptSource_WWTP_CSO.csv</enttypl>\n <enttypd>A comma separated text file of annual total nitrogen and total phosphorus load estimates in kilograms from point sources, combined sewer overflows, and wastewater treatment plants for selected Chesapeake Bay watersheds.</enttypd>\n <enttypds>Karen R. Ryberg, Andrew Sekellick, and Tammy Ivahnenko</enttypds>\n </enttyp>\n <attr>\n <attrlabl>staid</attrlabl>\n <attrdef>Streamgage station identification number.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Each USGS streamgage has a unique 8- to 15-digit identification number. Further information on how the identification numbers are assigned is available here https://help.waterdata.usgs.gov/faq/sites/do-station-numbers-have-any-particular-meaning.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>year</attrlabl>\n <attrdef>calendar year</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1985</rdommin>\n <rdommax>2012</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ptsourcetn</attrlabl>\n <attrdef>The annual total nitrogen load from point sources within the watershed upstream of the streamgage.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>11,132,347.34</rdommax>\n <attrunit>Kilograms</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ptsourcetp</attrlabl>\n <attrdef>The annual total phosphorus load from point sources within the watershed upstream of the streamgage.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>2,085,380.077</rdommax>\n <attrunit>Kilograms</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>estMethodPTSRC</attrlabl>\n <attrdef>Method to estimate the point source values.</attrdef>\n <attrdefs>U.S. Geological Survey Chesapeake Bay Program</attrdefs>\n <attrdomv>\n <edom>\n <edomv>CBP</edomv>\n <edomvd>U.S. Geological Survey Chesapeake Bay Program</edomvd>\n <edomvds>http://chesapeake.usgs.gov/</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>csotn</attrlabl>\n <attrdef>The annual total nitrogen load from combined sewer overflows within the watershed upstream of the streamgage.</attrdef>\n <attrdefs>U.S. Geological Survey Chesapeake Bay Program</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>26,503,187.31</rdommax>\n <attrunit>Kilograms</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>csotp</attrlabl>\n <attrdef>The annual total phosphorus load from combined sewer overflows within the watershed upstream of the streamgage.</attrdef>\n <attrdefs>U.S. Geological Survey Chesapeake Bay Program</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>4,185,244.218</rdommax>\n <attrunit>Kilograms</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>estMethodCSO</attrlabl>\n <attrdef>Method to estimate the point source values.</attrdef>\n <attrdefs>U.S. Geological Survey Chesapeake Bay Program</attrdefs>\n <attrdomv>\n <edom>\n <edomv>CBP</edomv>\n <edomvd>U.S. Geological Survey Chesapeake Bay Program</edomvd>\n <edomvds>http://chesapeake.usgs.gov/</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>wwtptn</attrlabl>\n <attrdef>The annual total nitrogen load from wastewater treatment plants within the watershed upstream of the streamgage.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>8,466,277.70</rdommax>\n <attrunit>Kilograms</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>wwtptp</attrlabl>\n <attrdef>The annual total phosphorus load from wastewater treatment plants within the watershed upstream of the streamgage.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>759,133.80</rdommax>\n <attrunit>Kilograms</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>estMethodWWTP</attrlabl>\n <attrdef>Method to estimate the point source values.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <edom>\n <edomv>CWNS</edomv>\n <edomvd>Clean Watershed Needs Survey</edomvd>\n <edomvds>U.S. Environmental Protection Agency Clean Watershed Needs Survey https://www.epa.gov/cwns</edomvds>\n </edom>\n <edom>\n <edomv>LI</edomv>\n <edomvd>linear interpolation</edomvd>\n <edomvds>approxfun interpolation function in R</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey - ScienceBase</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200818</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Karen R. Ryberg</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Research Statistician</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>821 E Interstate Ave</address>\n <city>Bismarck</city>\n <state>ND</state>\n <postal>58503</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>701-250-7422</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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3. [Data validating computation of boundary roughness from QL2 lidar derived digital elevation models for 2D hydraulic modeling applications](/catalog/item/5841880fe4b04fc80e518b1b)
4. [Data validating computation of boundary roughness from QL2 lidar derived digital elevation models for 2D hydraulic modeling applications--Supplemental Table 1](/catalog/folder/585002b2e4b00645734c546c)
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## Dates
Publication Date2016Start Date2016-04-21End Date2016-05-05
## Citation
Witt III, E.C., Goodrich, D.C., and Sturtevant, Luke, 2017, Data validating computation of boundary roughness from QL2 lidar derived digital elevation models for 2D hydraulic modeling applications: U.S. Geological Survey data release, https://doi.org/10.5066/F70G3H9T.
## Summary
The data described in this metadata record are no longer available. Please see the process steps for more details. Calibration of hydraulic models require careful selection of input parameters to provide the best possible modeling outcome. Currently the selection of hydraulic resistance or 'n' values for these models is a subjective process potentially exposing models to critical review . A process is needed to objectively estimate n-values so everyone responsible for model calibration arrives at the same answer. Use of standard elevation products can support this effort. This dataset is presented as supplemental information for a journal article describing the process of using the root mean square average of elevation standard deviation \[...\]
## Summary
The data described in this metadata record are no longer available. Please see the process steps for more details.
Calibration of hydraulic models require careful selection of input parameters to provide the best possible modeling outcome. Currently the selection of hydraulic resistance or 'n' values for these models is a subjective process potentially exposing models to critical review . A process is needed to objectively estimate n-values so everyone responsible for model calibration arrives at the same answer. Use of standard elevation products can support this effort. This dataset is presented as supplemental information for a journal article describing the process of using the root mean square average of elevation standard deviation from lidar derived 1 m rasters to objectively estimate the boundary roughness conditions of a watershed bare earth surface as part of the total hydraulic roughness needed for modeling overland flows in forested drainages.
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## Purpose
These data support the interpretation presented in journal article "Estimating boundary roughness for hydraulic modeling in forested floodplains using publicly available lidar and its derived products." Data were collected to validate a single QL2 lidar dataset to determine if it could be used to estimate boundary roughness where there is heavy forest canopy obstructing the floodplain of a watershed.
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## Tags
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- [Boundary roughness](/catalog/items?q=&filter=tags%3DBoundary+roughness "Boundary roughness (Boundary roughness, Theme, Geolocation measurement)")
- [Elevation validation](/catalog/items?q=&filter=tags%3DElevation+validation "Elevation validation (Elevation validation, Theme, Geolocation measurement)")
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- [Wilsons Creek National Battlefield Park](/catalog/items?q=&filter=tags%3DWilsons+Creek+National+Battlefield+Park "Wilsons Creek National Battlefield Park (Wilsons Creek National Battlefield Park, Place, GNIS)")
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## Provenance
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>David C. Goodrich</origin>\n <origin>Luke Sturtevant</origin>\n <pubdate>2016</pubdate>\n <title>Data validating computation of boundary roughness from QL2 lidar derived digital elevation models for 2D hydraulic modeling applications--Supplemental Table 1</title>\n <geoform>spreadsheet and CSV</geoform>\n <pubinfo>\n <pubplace>Rolla, MO</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://dx.doi.org/10.5066/F70G3H9T</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Emitt C. Witt III</origin>\n <origin>David C. Goodrich</origin>\n <origin>Luke Sturtevant</origin>\n <pubdate>2017</pubdate>\n <title>Estimating boundary roughness for hydraulic modeling in forested floodplains using publicly available lidar and its derived products</title>\n <pubinfo>\n <pubplace>Rolla, MO</pubplace>\n <publish>Elsevier--Advances in Water Resources</publish>\n </pubinfo>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The data described in this metadata record are no longer available. Please see the process steps for more details. Calibration of hydraulic models require careful selection of input parameters to provide the best possible modeling outcome. Currently the selection of hydraulic resistance or \'n\' values for these models is a subjective process potentially exposing models to critical review . A process is needed to objectively estimate n-values so everyone responsible for model calibration arrives at the same answer. Use of standard elevation products can support this effort. This dataset is presented as supplemental information for a journal article describing the process of using the root mean square average of elevation standard deviation from lidar derived 1 m rasters to objectively estimate the boundary roughness conditions of a watershed bare earth surface as part of the total hydraulic roughness needed for modeling overland flows in forested drainages.</abstract>\n <purpose>These data support the interpretation presented in journal article "Estimating boundary roughness for hydraulic modeling in forested floodplains using publicly available lidar and its derived products." Data were collected to validate a single QL2 lidar dataset to determine if it could be used to estimate boundary roughness where there is heavy forest canopy obstructing the floodplain of a watershed.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20160421</begdate>\n <enddate>20160505</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-93.455200195308</westbc>\n <eastbc>-93.323364257806</eastbc>\n <northbc>37.223419138176</northbc>\n <southbc>37.10960652194</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>Geolocation measurement</themekt>\n <themekey>Elevation validation</themekey>\n <themekey>Boundary roughness</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:585002b2e4b00645734c546c</themekey>\n </theme>\n <place>\n <placekt>GNIS</placekt>\n <placekey>Wilsons Creek National Battlefield Park</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Emitt C. Witt III</cntper>\n <cntorg>USGS Center of Excellence for Geospatial Information Science</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1400 Independence Road</address>\n <city>Rolla</city>\n <state>MO</state>\n <postal>65401</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>573-308-3679</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Accuracy for field values is defined by the instrument. 3DEP data are validated through a formal quality assessment process that occurs after delivery of the product from the contractor.</attraccr>\n </attracc>\n <logic>This effort is designed to validate 3DEP data using field surveyed data.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>USGS</origin>\n <pubdate>2011</pubdate>\n <title>3DEP</title>\n <geoform>point cloud--las</geoform>\n <pubinfo>\n <pubplace>Wilsons Creek Battlefield Park</pubplace>\n <publish>USGS</publish>\n </pubinfo>\n <onlink>https://nationalmap.gov/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>lidar point cloud</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20161121</begdate>\n <enddate>20161122</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>All good</srccurr>\n </srctime>\n <srccitea>elevation source</srccitea>\n <srccontr>Comparison</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Data table for supplementary reference was compiled November 2016.</procdesc>\n <procdate>20161122</procdate>\n </procstep>\n <procstep>\n <procdesc>The data described in this metadata record were never supplied to the data repository. The data author is no longer with the U.S. Geological Survey and the final disposition of the data file is unknown.</procdesc>\n <procdate>20211216</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Points acquired using GNSS, RTK-VRS, and Robotic Total Station.</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>The primary author.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Plot Number</attrlabl>\n <attrdef>A numerical identifier that has been assigned to a sample location.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>31</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>The primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Sample Date</attrlabl>\n <attrdef>Date</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Date information</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Number of points surveyed</attrlabl>\n <attrdef>A numeric identifier representing the number of ponts surveyed.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Single point surveyed</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>The primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Number of class 2 lidar points in plot</attrlabl>\n <attrdef>Represents the number of ground class lidar returns within a 10 x 10 m sample plot.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Lidar ground class point</edomvd>\n <edomvds>3DEP database</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>The primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>F-statistic</attrlabl>\n <attrdef>Calculated F-statistic from Excel.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>1.206</edomv>\n <edomvd>F-statistic</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>The primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>F-test one-tailed p-value</attrlabl>\n <attrdef>p-value associated with calculated F-statistic</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0.165</edomv>\n <edomvd>Calculated as part of F-test.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>T-statistic</attrlabl>\n <attrdef>Calculated T-statistic using Excel.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>7.452</edomv>\n <edomvd>T-statistic</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>t-test two-tailed p-value</attrlabl>\n <attrdef>Calculate p-value for specific t-test.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0.01744</edomv>\n <edomvd>t-test p-value</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Average elevation of surveyed points (m)</attrlabl>\n <attrdef>Represents an average of all points for th sample plot in meters.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>333.02</edomv>\n <edomvd>Elevation average in meters</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Average elevation of point cloud (m)</attrlabl>\n <attrdef>Elevation average of points within the 3DEP point cloud in meters.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>333.45</edomv>\n <edomvd>Average elevation</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Variance Equal</attrlabl>\n <attrdef>An alpha value representing a yes/no result of the F-test.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Yes=variance are equal; No=variances are not equal</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Means significantly different</attrlabl>\n <attrdef>Result of t-statistic representing yes and no.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Yes=means are significantly different; No=means are not signifcantly different</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Difference form vertical specification (cm)</attrlabl>\n <attrdef>This value represents the plus/minus difference of the measured average elevation for a sample plot as compared to the USGS Lidar Specification for vegetated vertical accuracy in centimeters.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>4.3</edomv>\n <edomvd>Difference from USGS Lidar base specification of 29.4 centimeters.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>USGS Specification for QL2 Vegetated Vertical Accuracy (cm)</attrlabl>\n <attrdef>As published in USGS Lidar Base Specifications.</attrdef>\n <attrdefs>USGS Lidar Base Specifications, Book 11, Collection and Delineation of Spatial Data</attrdefs>\n <attrdomv>\n <edom>\n <edomv>29.4</edomv>\n <edomvd>vegetated vertical accuracy in centimeters</edomvd>\n <edomvds>USGS Lidar Base Specifications, Book 11, Collection and Delineation of Spatial Data</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Control Point 1 Elevation (m)</attrlabl>\n <attrdef>Control point established using GNSS VRS in the field prior to computing geometric solution for total station.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>333.01</edomv>\n <edomvd>Elevation in meters</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Control Point 2 Elevation (m)</attrlabl>\n <attrdef>Control point established using GNSS VRS in the field prior to computing geometric solution for total station.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>333.4</edomv>\n <edomvd>Elevation in meters</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Average Positional Dilution of Precision</attrlabl>\n <attrdef>The PDOP recorded during the esablishment of control points 1 and 2.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>1.7</edomv>\n <edomvd>PDOP value</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>SupplementalInfo_table1</enttypl>\n <enttypd>This is a spreadsheet containing the point data collected along Wilsons Creek using estrablish field survey methods and the data extracted from the lidar point cloud data downloaded from the USGS Naitonal Map. The data table also contains the results of statistical analysis and other pertinent descriptive information.</enttypd>\n <enttypds>Primary author</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Field Notes</attrlabl>\n <attrdef>Alpha and numeric description of observations for each field sample plot.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Specific description of sample plot observations.</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Denver Federal Center</address>\n <address>Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n </cntaddr>\n <cntvoice />\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Data for use in conjunction with published article.</distliab>\n <stdorder>\n <digform>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://dx.doi.org/10.5066/F70G3H9T</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20211216</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Emitt C. Witt III</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Research Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1400 Independence Road</address>\n <city>Rolla</city>\n <state>MO</state>\n <postal>65401</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>573-308-3679</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Geologic and Related Photographs of the Grand Canyon Region (1967–2010)](/catalog/folder/5a9751d5e4b06990606c5197)
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## Dates
Publication Date2019-09-06Start Date1967End Date2010
## Citation
Billingsley, G.H., Goodwin, G., Nagorsen, S.E., Erdman, M.E., and Sherba, J.T., 2019, Geologic and related photographs of the Grand Canyon region (1967–2010): U.S. Geological Survey data release, accessed \[Month Day, Year\], at https://doi.org/10.5066/F7WS8SHW.
## Summary
The Grand Canyon geologic field photograph collection contains 1,211 geotagged photographs collected during 43 years of geologic mapping from 1967 to 2010. The photographs document some key geologic features, structures, and rock unit relations that were used to compile nine geologic maps of the Grand Canyon region published at 1:100,000 scale, and many more maps published at 1:24,000 scale. Metadata for each photograph include description, date captured, coordinates, and a keyword system that places each photograph in one or more of the following categories: arches and windows, breccia pipes and collapse structures, faults and folds, igneous rocks, landslides and rockfalls, metamorphic rocks, sedimentary rocks, sinkholes, and springs \[...\]
## Summary
The Grand Canyon geologic field photograph collection contains 1,211 geotagged photographs collected during 43 years of geologic mapping from 1967 to 2010. The photographs document some key geologic features, structures, and rock unit relations that were used to compile nine geologic maps of the Grand Canyon region published at 1:100,000 scale, and many more maps published at 1:24,000 scale. Metadata for each photograph include description, date captured, coordinates, and a keyword system that places each photograph in one or more of the following categories: arches and windows, breccia pipes and collapse structures, faults and folds, igneous rocks, landslides and rockfalls, metamorphic rocks, sedimentary rocks, sinkholes, and springs and waterfalls. Where photographs fit into multiple categories, they are duplicated with different captions to explain the visible features. Original photograph slides are available at the Northern Arizona University Cline Library Special Collections and Archives.
These data are displayed in an interactive online map in the following publication:
Billingsley, G.H., Goodwin, G., Nagorsen, S.E., Erdman, M.E., and Sherba, J.T., 2019, Geologic field photograph map of the Grand Canyon region, 1967–2010: U.S. Geological Survey General Information Product 189, [https://doi.org/10.3133/gip189](https://doi.org/10.3133/gip189).
## Child Items [(2)](/catalog/items?parentId=5a9751d5e4b06990606c5197) - [View children in Folder](/catalog/folder/5a9751d5e4b06990606c5197) - [Search children](/catalog/items?parentId=5a9751d5e4b06990606c5197)
- [About](/catalog/item/5c62081ae4b0fe48cb330159 "About")
- [All photographs](/catalog/item/5c6200cde4b0fe48cb32ff6d "All photographs")
## Contacts
Point of Contact
:
[George Billingsley](/catalog/catalogParty/show?partyId=838)
Metadata Contact
:
[Monica E Erdman](/catalog/catalogParty/show?partyId=19738)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[National Cooperative Geologic Mapping Program](/catalog/catalogParty/show?partyId=17163)
USGS Mission Area
:
[Energy and Minerals](/catalog/catalogParty/show?partyId=Energy+and+Minerals)
Originator
:
[George Billingsley](/catalog/catalogParty/show?partyId=838),
[Gregory D Goodwin](/catalog/catalogParty/show?partyId=64093),
[Sarah E Nagorsen](/catalog/catalogParty/show?partyId=64255),
[Monica E Erdman](/catalog/catalogParty/show?partyId=19738),
[Jason T Sherba](/catalog/catalogParty/show?partyId=63686)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5a9751d5e4b06990606c5197?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5a9751d5e4b06990606c5197?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5a9751d5e4b06990606c5197?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| GrandCanyonPhotoCollection\_metadata.xml<br>_Original FGDC Metadata_ | View | 9.19 KB | application/fgdc+xml |
| EF59.jpg |  | 3.92 MB | image/jpeg |
| Photograph\_Metadata.txt | | 671.71 KB | text/plain |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Billingsley, G.H., Goodwin, G., Nagorsen, S.E., Erdman, M.E., and Sherba, J.T., 2019, Geologic field photograph map of the Grand Canyon region, 1967–2010: U.S. Geological Survey General Information Product 189, https://doi.org/10.3133/gip189. | [https://doi.org/10.3133/gip189](https://doi.org/10.3133/gip189 "https://doi.org/10.3133/gip189") |
## Rights
Public domain. Photograph credit: George Billingsley, U.S. Geological Survey. Acknowledgment of the U.S. Geological Survey would be appreciated in products derived from this data.
## Preview Image

## [Map](/catalog/item/imap/5a9751d5e4b06990606c5197)
[](/catalog/item/imap/5a9751d5e4b06990606c5197)
## Spatial Services
ScienceBase WMS
## Communities
- USGS Data Release Products
## Associated Items
- _related to_ [Geologic map of the Peach Springs 30' x 60' quadrangle, Mohave and Coconino counties, northwestern Arizona](/catalog/item/4f4e4b1ae4b07f02db6a8482 "Geologic map of the Peach Springs 30' x 60' quadrangle, Mohave and Coconino counties, northwestern Arizona")
- _related to_ [Geologic map of the Cameron 30' x 60' quadrangle, Coconino County, northern Arizona](/catalog/item/4f4e4b23e4b07f02db6ae0f5 "Geologic map of the Cameron 30' x 60' quadrangle, Coconino County, northern Arizona")
- _related to_ [Geologic map of the Tuba City 30' x 60' quadrangle, Coconino County, northern Arizona](/catalog/item/50a3b9d0e4b0855e233c0712 "Geologic map of the Tuba City 30' x 60' quadrangle, Coconino County, northern Arizona")
- _related to_ [Geologic Map of the Mount Trumbull 30' X 60' Quadrangle, Mohave and Coconino Counties, Northwestern Arizona](/catalog/item/4f4e4b12e4b07f02db6a2cd7 "Geologic Map of the Mount Trumbull 30' X 60' Quadrangle, Mohave and Coconino Counties, Northwestern Arizona")
- _related to_ [Geologic map of the Valle 30' x 60' quadrangle, Coconino County, northern Arizona](/catalog/item/4f4e4ae4e4b07f02db689b91 "Geologic map of the Valle 30' x 60' quadrangle, Coconino County, northern Arizona")
- [View Associated Items](/catalog/itemLinks?itemId=5a9751d5e4b06990606c5197)
## Tags
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Theme
- [geoscientific information](/catalog/items?q=&filter=tags%3Dgeoscientific+information "geoscientific information (geoscientific information, Theme, None)")
Place
- [Central Grand Canyon](/catalog/items?q=&filter=tags%3DCentral+Grand+Canyon "Central Grand Canyon (Central Grand Canyon, Place, None)")
- [Eastern Grand Canyon](/catalog/items?q=&filter=tags%3DEastern+Grand+Canyon "Eastern Grand Canyon (Eastern Grand Canyon, Place, None)")
- [Grand Canyon, Arizona, United States of America](/catalog/items?q=&filter=tags%3DGrand+Canyon%2C+Arizona%2C+United+States+of+America "Grand Canyon, Arizona, United States of America (Grand Canyon, Arizona, United States of America, Place, None)")
- [Western Grand Canyon](/catalog/items?q=&filter=tags%3DWestern+Grand+Canyon "Western Grand Canyon (Western Grand Canyon, Place, None)")
USGS Scientific Topic Keyword
- [Geomorphology](/catalog/items?q=&filter=tags%3DGeomorphology "Geomorphology (Geomorphology, USGS Scientific Topic Keyword, )")
- [Hydrogeology](/catalog/items?q=&filter=tags%3DHydrogeology "Hydrogeology (Hydrogeology, USGS Scientific Topic Keyword, )")
- [Mineralogy](/catalog/items?q=&filter=tags%3DMineralogy "Mineralogy (Mineralogy, USGS Scientific Topic Keyword, )")
- [Structural Geology](/catalog/items?q=&filter=tags%3DStructural+Geology "Structural Geology (Structural Geology, USGS Scientific Topic Keyword, )")
- [Volcanology](/catalog/items?q=&filter=tags%3DVolcanology "Volcanology (Volcanology, USGS Scientific Topic Keyword, )")
Types
- [Map Service](/catalog/items?q=&filter=browseType%3DMap+Service "Map Service")
- [OGC WFS Layer](/catalog/items?q=&filter=browseType%3DOGC+WFS+Layer "OGC WFS Layer")
- [OGC WMS Layer](/catalog/items?q=&filter=browseType%3DOGC+WMS+Layer "OGC WMS Layer")
- [OGC WMS Service](/catalog/items?q=&filter=browseType%3DOGC+WMS+Service "OGC WMS Service")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7WS8SHW |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>George H. Billingsley</origin>\n <origin>Gregory Goodwin</origin>\n <origin>Sarah E. Nagorsen</origin>\n <origin>Monica E. Erdman</origin>\n <origin>Jason T. Sherba</origin>\n <pubdate>20190906</pubdate>\n <title>Geologic and Related Photographs of the Grand Canyon Region (1967\xe2\x80\x932010)</title>\n <serinfo>\n <sername>Data release</sername>\n <issue>F7WS8SHW</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7WS8SHW</onlink>\n <lworkcit>\n <citeinfo>\n <origin>George H. Billingsley</origin>\n <origin>Gregory Goodwin</origin>\n <origin>Sarah E. Nagorsen</origin>\n <origin>Monica E. Erdman</origin>\n <origin>Jason T. Sherba</origin>\n <pubdate>2019</pubdate>\n <title>Geologic Field Photograph Map of the Grand Canyon Region, 1967\xe2\x80\x932010</title>\n <serinfo>\n <sername>General Information Product</sername>\n <issue>189</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/gip189</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The Grand Canyon geologic field photograph collection contains 1,211 geotagged photographs collected during 43 years of geologic mapping from 1967 to 2010. The photographs document some key geologic features, structures, and rock unit relations that were used to compile nine geologic maps of the Grand Canyon region published at 1:100,000 scale, and many more maps published at 1:24,000 scale. Metadata for each photograph include description, date captured, coordinates, and a labeling system that places each photograph in one of the following categories: arches and windows, breccia pipes and collapse structures, faults and folds, igneous rocks, landslides and rockfalls, metamorphic rocks, sedimentary rocks, sinkholes, or springs and waterfalls. Original photograph slides are available at the Northern Arizona University Cline Library Special Collections and Archives.</abstract>\n <purpose>The photographs published in this data release are displayed in an interactive online map in the following publication:\nBillingsley, G.H., Goodwin, G., Nagorsen, S.E., Erdman, M.E., and Sherba, J.T., 2019, Geologic field photograph map of the Grand Canyon region, 1967\xe2\x80\x932010: U.S. Geological Survey General Information Product 189, https://doi.org/10.3133/gip189.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>1967</begdate>\n <enddate>2010</enddate>\n </rngdates>\n </timeinfo>\n <current>Publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-114.0</westbc>\n <eastbc>-111.0</eastbc>\n <northbc>37.0</northbc>\n <southbc>35.5</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>geoscientific information</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5a9751d5e4b06990606c5197</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Grand Canyon, Arizona, United States of America</placekey>\n <placekey>Western Grand Canyon</placekey>\n <placekey>Central Grand Canyon</placekey>\n <placekey>Eastern Grand Canyon</placekey>\n </place>\n </keywords>\n <accconst>None</accconst>\n <useconst>Acknowledgement of the U.S. Geological Survey would be appreciated in products derived from this data.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>George Billingsley</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>physical address</addrtype>\n <address>2255 North Gemini Drive</address>\n <city>Flagstaff</city>\n <state>Arizona</state>\n <postal>86001-1637</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-928-556-7198</cntvoice>\n </cntinfo>\n </ptcontac>\n <datacred>George Billingsley, U.S. Geological Survey</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Metadata for each photograph include description, date captured, keywords, coordinates, and a labeling system that places each photograph in one or more of the following categories: arches and windows, breccia pipes and collapse structures, faults and folds, igneous rocks, landslides and rockfalls, metamorphic rocks, sedimentary rocks, sinkholes, or springs and waterfalls.\n\nGeologic formation names are given in each photograph description when possible. Stratigraphic ages are generally not given. Formal names are capitalized whereas informal names are lowercase.</attraccr>\n <qattracc>\n <attraccv>Digital photographs were scanned from original photograph slides.</attraccv>\n <attracce>The Grand Canyon geologic field photograph collection contains 1,211 geotagged photographs collected during 43 years of geologic mapping from 1967 to 2010. The photographs are not always of good quality due to a lack of time for camera settings, limited amount of film, weather conditions, and (or) window clarity of the helicopter or airplane. Type of film used is 35-millimeter Kodachrome II color slide film.</attracce>\n </qattracc>\n </attracc>\n <logic>Each photograph is placed in one of the following categories: arches and windows, breccia pipes and collapse structures, faults and folds, igneous rocks, landslides and rockfalls, metamorphic rocks, sedimentary rocks, sinkholes, or springs and waterfalls. Where photographs fit into multiple categories, they are duplicated with different captions to explain the visible features.</logic>\n <complete>The photograph collection contains 1,211 photographs selected from 43 years of geologic field work. The original photograph slides are available at the Northern Arizona University Cline Library Special Collections and Archives.</complete>\n <posacc>\n <horizpa>\n <horizpar>Photograph locations are given within 200 meters. Colorado River miles are commonly referred to in the photograph descriptions and are used as reference location points for many of the photographs. Photographs a few miles or more from the Colorado River are arbitrarily numbered to approximate location near the Colorado River.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No vertical position information given.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>None</procdesc>\n <procdate>2019</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <overview>\n <eaover>See Photograph_Metadata.txt for attribute information of each photograph.</eaover>\n <eadetcit>Attributed details are embedded with each photograph as metadata.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>MS902 Box 25286 Denver Federal Center</address>\n <city>Lakewood</city>\n <state>Colorado</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-ASK-USGS</cntvoice>\n </cntinfo>\n </distrib>\n <distliab>This publication was prepared by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, product, or process disclosed in this report, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200821</metd>\n <metc>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>Monica Erdman</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>physical address</addrtype>\n <address>345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>California</state>\n <postal>94025</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-650-329-5082</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standards for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2018-12-20Time Period2015-08-12Time Period2015-09-01Time Period2015-09-21Revision2019-07-10
## Citation
Byappanahalli, M.N., and Nevers, M. B., 2019, 16S rRNA gene sequencing and E. coli for shorelines and the Grand Calumet River, Indiana, 2015, (ver. 2.0, July 2019): U.S. Geological Survey data release, http://doi.org/10.5066/P92JWFUR.
## Summary
Data were collected in August and September 2015 for analysis of bacteria communities of the Grand Calumet River and associated shorelines. Water samples were collected on three occasions corresponding to one rain-related (wet) events and two non-rain (dry) events. Water samples were collected in the Grand Calumet River, at the mouth of the river, at offshore locations around the peninsular impoundment and at shoreline locations: Jeorse Park (East Chicago, Indiana), Whihala (Whiting, Indiana), and 63rd Street (Chicago, Illinois) beaches. Samples were collected in triplicate, and water was filtered at the USGS Lake Michigan Ecological Research Station. After DNA extraction, samples were analyzed using 16S rRNA sequencing using Illumina \[...\]
## Summary
Data were collected in August and September 2015 for analysis of bacteria communities of the Grand Calumet River and associated shorelines. Water samples were collected on three occasions corresponding to one rain-related (wet) events and two non-rain (dry) events. Water samples were collected in the Grand Calumet River, at the mouth of the river, at offshore locations around the peninsular impoundment and at shoreline locations: Jeorse Park (East Chicago, Indiana), Whihala (Whiting, Indiana), and 63rd Street (Chicago, Illinois) beaches. Samples were collected in triplicate, and water was filtered at the USGS Lake Michigan Ecological Research Station. After DNA extraction, samples were analyzed using 16S rRNA sequencing using Illumina sequencing. Taxonomic identification was assigned for communities in each sample, at multiple taxonomic levels (Kingdom, Phylum, Class, Order, Family, Genus). Water was also analyzed for E. coli bacteria and turbidity, at the USGS laboratory. Hydrological conditions corresponding to the days of sample collection were obtained from publicly available USGS information (NWIS-National Water Information System). The coordinate file includes information regarding sampling locations and their corresponding latitude and longitudes. The Data file include E. coli densities, laboratory turbidity measurements, and NWIS hydrological data. The raw metagenomic data can be accessed at the NCBI repository under the biproject accession PRJNA541325: https://www.ncbi.nlm.nih.gov/sra/PRJNA541325
First posted December, 2018
Revised July 2019, ver. 2.0
## Contacts
Point of Contact
:
[Meredith Nevers](/catalog/catalogParty/show?partyId=7448)
Process Contact
:
[Katarzyna Przybyla-Kelly](/catalog/catalogParty/show?partyId=8321),
[Dawn A Shively](/catalog/catalogParty/show?partyId=9422),
[Ashley M Spoljaric](/catalog/catalogParty/show?partyId=12314)
Originator
:
[Muruleedhara Byappanahalli](/catalog/catalogParty/show?partyId=1451),
[Meredith Nevers](/catalog/catalogParty/show?partyId=7448)
Metadata Contact
:
[Meredith Nevers](/catalog/catalogParty/show?partyId=7448)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
USGS Mission Area
:
[Ecosystems](/catalog/catalogParty/show?partyId=Ecosystems)
SDC Data Owner
:
[Great Lakes Science Center](/catalog/catalogParty/show?partyId=17264)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
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| --- | --- | --- | --- |
| Metagenomics\_v2.2.xml<br>_Original FGDC Metadata_ | View | 60.34 KB | application/fgdc+xml |
| PowerWater.pdf | | 264.3 KB | application/pdf |
| Coordinates.csv | | 837 Bytes | text/csv |
| Field.csv | | 8.55 KB | text/csv |
| Data\_v2.csv | | 5.96 KB | text/csv |
| Metagenomics\_v2.txt | | 1.02 KB | text/plain |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Nakatsu, Cindy H., Murulee Byappanahalli, and Meredith Nevers. "Bacterial Community 16S rRNA Gene Sequencing Characterizes Riverine Microbial Impact on Lake Michigan." Frontiers in microbiology 10 (2019): 996. https://doi.org/10.3389/fmicb.2019.00996 | [https://doi.org/10.3389/fmicb.2019.00996](https://doi.org/10.3389/fmicb.2019.00996 "https://doi.org/10.3389/fmicb.2019.00996") |
## Purpose
Data were collected in order to make comparisons between Grand Calumet River and shoreline bacteria communities so that bacteria sources might be identified that are influencing beach closures along the Lake Michigan shoreline.
## [Map](/catalog/item/imap/5c069aafe4b0815414cecb5c)
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## Communities
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## Associated Items
- _related to_ [Identify sources of high E. coli concentrations, Grand Calumet River Area of Concern beaches of southern Lake Michigan, 2016-2018](/catalog/item/5bbcc085e4b0fc368eaeb288 "Identify sources of high E. coli concentrations, Grand Calumet River Area of Concern beaches of southern Lake Michigan, 2016-2018")
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## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
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- [DNA sequencing](/catalog/items?q=&filter=tags%3DDNA+sequencing "DNA sequencing (DNA sequencing, Theme, USGS Thesaurus)")
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## Provenance
Revision 2.0 completed in July of 2019. To review the changes that were made, see “Metagenomics\_v2.txt” in the attached files section.
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P92JWFUR |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Murulee Byappanahalli</origin>\n <origin>Meredith Nevers</origin>\n <pubdate>2019</pubdate>\n <title>16S rRNA gene sequencing and E. coli for shorelines and the Grand Calumet River, Indiana, 2015, (version 2.0, July 2019)</title>\n <geoform>spreadsheet</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://doi.org/10.5066/P92JWFUR</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Data were collected in August and September 2015 for analysis of bacteria communities of the Grand Calumet River and associated shorelines. Water samples were collected on three occasions corresponding to one rain-related (wet) events and two non-rain (dry) events. Water samples were collected in the Grand Calumet River, at the mouth of the river, at offshore locations around the peninsular impoundment and at shoreline locations: Jeorse Park (East Chicago, Indiana), Whihala (Whiting, Indiana), and 63rd Street (Chicago, Illinois) beaches. Samples were collected in triplicate, and water was filtered at the USGS Lake Michigan Ecological Research Station. After DNA extraction, samples were analyzed using 16S rRNA sequencing using Illumina sequencing. Taxonomic identification was assigned for communities in each sample, at multiple taxonomic levels (Kingdom, Phylum, Class, Order, Family, Genus). Water was also analyzed for E. coli bacteria and turbidity, at the USGS laboratory. Hydrological conditions corresponding to the days of sample collection were obtained from publicly available USGS information (NWIS-National Water Information System). \n\nThe coordinate file includes information regarding sampling locations and their corresponding latitude and longitudes. The Data file include E. coli densities, laboratory turbidity measurements, and NWIS hydrological data. The raw metagenomic data can be accessed at the NCBI repository under the biproject accession PRJNA541325: https://www.ncbi.nlm.nih.gov/sra/PRJNA541325</abstract>\n <purpose>Data were collected in order to make comparisons between Grand Calumet River and shoreline bacteria communities so that bacteria sources might be identified that are influencing beach closures along the Lake Michigan shoreline.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <mdattim>\n <sngdate>\n <caldate>20150812</caldate>\n </sngdate>\n <sngdate>\n <caldate>20150901</caldate>\n </sngdate>\n <sngdate>\n <caldate>20150921</caldate>\n </sngdate>\n </mdattim>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-87.5792</westbc>\n <eastbc>-87.4038</eastbc>\n <northbc>41.7865</northbc>\n <southbc>41.6460</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>environment</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>Freshwater ecosystems</themekey>\n <themekey>Water sampling</themekey>\n <themekey>Ecology</themekey>\n <themekey>DNA sequencing</themekey>\n <themekey>Microbiology</themekey>\n <themekey>Contamination and pollution</themekey>\n </theme>\n <theme>\n <themekt>Producer Defined</themekt>\n <themekey>Microbial communities</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5c069aafe4b0815414cecb5c</themekey>\n </theme>\n <place>\n <placekt>Getty Thesaurus of Geographic Names</placekt>\n <placekey>Lake Michigan</placekey>\n <placekey>Grand Calumet River</placekey>\n <placekey>Great Lakes</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>None. Users are advised to read the data set\'s metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Meredith Nevers</cntper>\n <cntorg>U.S. Geological, Great Lakes Science Center, Lake Michigan Ecological Research Station</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing</addrtype>\n <address>1574 Kemil Road N 300 E</address>\n <city>Chesterton</city>\n <state>IN</state>\n <postal>46304</postal>\n </cntaddr>\n <cntvoice>219-926-8336 x425</cntvoice>\n <cntfax>219-929-5792</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Funding was provided to the USGS through the Great Lakes Restoration Initiative and USGS agreement G15AC00427, and to Purdue from the USDA National Institute of Food and Agriculture Hatch grant IND010825</datacred>\n <native>Sequences were generated using a MiSeq Illumina system\nSequences were analyzed using the QIIME pipeline (version 1.9.1)</native>\n <crossref>\n <citeinfo>\n <origin>Cindy H. Nakatsu</origin>\n <origin>Muruleedhara N. Byappanahalli</origin>\n <origin>Meredith B. Nevers</origin>\n <pubdate>20190514</pubdate>\n <title>Bacterial Community 16S rRNA Gene Sequencing Characterizes Riverine Microbial Impact on Lake Michigan</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Frontiers in Microbiology</sername>\n <issue>vol. 10</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Frontiers Media SA</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3389/fmicb.2019.00996</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>High standard quality assurance practices were employed in laboratory and field protocols to collect the data, ensuring the accuracy of values in datasets. All technicians collecting data undergo rigorous training to adhere to SOPs.</attraccr>\n </attracc>\n <logic>Datasets were checked for errors, including duplication or omission. All manually entered data by the technicians were checked for errors against hard copies of the data once.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. As noted in the attribute accuracy, if a data point was questionable after being reanalyzed data was removed.</complete>\n <posacc>\n <horizpa>\n <horizpar>Coordinates were created from Google Earth or Google maps (WGS84)</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Andrew D. Eaton</origin>\n <origin>Lenore S. Clesceri</origin>\n <origin>Eugene W. Rice</origin>\n <origin>Arnold E. Greenberg</origin>\n <origin>Mary Ann H. Franson</origin>\n <pubdate>20051015</pubdate>\n <title>Standard Methods for the Examination of Water and Wastewater, 21st Edition</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Washington, DC</pubplace>\n <publish>American Public Health Association</publish>\n </pubinfo>\n <othercit>ISBN: 0875530478 9780875530475</othercit>\n <onlink>n/a</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20051015</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>APHA</srccitea>\n <srccontr>Methodology used in processing step 1</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Richard L. Whitman</origin>\n <origin>Meredith B. Nevers</origin>\n <pubdate>200408</pubdate>\n <title>Escherichia coliSampling Reliability at a Frequently Closed Chicago Beach: Monitoring and Management Implications</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Environmental Science & Technology</sername>\n <issue>vol. 38, issue 16</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>American Chemical Society (ACS)</publish>\n </pubinfo>\n <othercit>ppg. 4241-4246</othercit>\n <onlink>https://doi.org/10.1021/es034978i</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20040710</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Sampling reliability</srccitea>\n <srccontr>Methodology used in processing step 1</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>World Health Organization</origin>\n <pubdate>19990301</pubdate>\n <title>Health-based monitoring of recreational waters: The feasibility of a new approach (The "Annapolis Protocol")</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Geneva, switzerland</pubplace>\n <publish>World Health Organization</publish>\n </pubinfo>\n <othercit>Technical document: Government Document number WHO/SDE/WSH/99.1</othercit>\n <onlink>https://www.who.int/water_sanitation_health/bathing/annapolis.pdf</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>19990301</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>WHO</srccitea>\n <srccontr>Methodology used in processing step 1</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>S. C. Edburg</origin>\n <origin>M. J. Allen</origin>\n <origin>D. B. Smith</origin>\n <pubdate>19910501</pubdate>\n <title>HuBac and nifH source tracking markers display a relationship to land use but not rainfallDefined substrate technology method for rapid and specific simultaneous enumeration of total coliforms and Escherichia coli from water: Collaborative study</title>\n <geoform>publication</geoform>\n <othercit>ISSN: 0004-5756</othercit>\n <onlink>n/a</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>19910501</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Colilert-18</srccitea>\n <srccontr>Methodology used in processing step 2</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Z. Liu</origin>\n <origin>T. Z. DeSantis</origin>\n <origin>G. L. Andersen</origin>\n <origin>R. Knight</origin>\n <pubdate>20080906</pubdate>\n <title>Accurate taxonomy assignments from 16S rRNA sequences produced by highly parallel pyrosequencers</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Nucleic Acids Research</sername>\n <issue>vol. 36, issue 18</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Oxford University Press (OUP)</publish>\n </pubinfo>\n <othercit>ppg. e120-e120</othercit>\n <onlink>https://doi.org/10.1093/nar/gkn491</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20080822</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>taxonomy assignments</srccitea>\n <srccontr>Methodology used in processing step 4</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Carlos W Nossa</origin>\n <pubdate>2010</pubdate>\n <title>Design of 16S rRNA gene primers for 454 pyrosequencing of the human foregut microbiome</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>World Journal of Gastroenterology</sername>\n <issue>vol. 16, issue 33</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Baishideng Publishing Group Inc.</publish>\n </pubinfo>\n <othercit>ppg. 4135</othercit>\n <onlink>https://doi.org/10.3748/wjg.v16.i33.4135</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20100907</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>16S primer design</srccitea>\n <srccontr>Methodology used in processing step 4</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Gregory B. Gloor</origin>\n <origin>Ruben Hummelen</origin>\n <origin>Jean M. Macklaim</origin>\n <origin>Russell J. Dickson</origin>\n <origin>Andrew D. Fernandes</origin>\n <origin>Roderick MacPhee</origin>\n <origin>Gregor Reid</origin>\n <pubdate>20101026</pubdate>\n <title>Microbiome Profiling by Illumina Sequencing of Combinatorial Sequence-Tagged PCR Products</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>PLoS ONE</sername>\n <issue>vol. 5, issue 10</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Public Library of Science (PLoS)</publish>\n </pubinfo>\n <othercit>ppg. e15406</othercit>\n <onlink>https://doi.org/10.1371/journal.pone.0015406</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20101026</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Profiling</srccitea>\n <srccontr>Methodology used in processing step 4</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>J Gregory Caporaso</origin>\n <origin>Justin Kuczynski</origin>\n <origin>Jesse Stombaugh</origin>\n <origin>Kyle Bittinger</origin>\n <origin>Frederic D Bushman</origin>\n <origin>Elizabeth K Costello</origin>\n <origin>Noah Fierer</origin>\n <origin>Antonio Gonzalez Pe\xc3\xb1a</origin>\n <origin>Julia K Goodrich</origin>\n <origin>Jeffrey I Gordon</origin>\n <origin>Gavin A Huttley</origin>\n <origin>Scott T Kelley</origin>\n <origin>Dan Knights</origin>\n <origin>Jeremy E Koenig</origin>\n <origin>Ruth E Ley</origin>\n <origin>Catherine A Lozupone</origin>\n <origin>Daniel McDonald</origin>\n <origin>Brian D Muegge</origin>\n <origin>Meg Pirrung</origin>\n <origin>Jens Reeder</origin>\n <origin>Joel R Sevinsky</origin>\n <origin>Peter J Turnbaugh</origin>\n <origin>William A Walters</origin>\n <origin>Jeremy Widmann</origin>\n <origin>Tanya Yatsunenko</origin>\n <origin>Jesse Zaneveld</origin>\n <origin>Rob Knight</origin>\n <pubdate>20100411</pubdate>\n <title>QIIME allows analysis of high-throughput community sequencing data</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Nature Methods</sername>\n <issue>vol. 7, issue 5</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Springer Nature</publish>\n </pubinfo>\n <othercit>ppg. 335-336</othercit>\n <onlink>https://doi.org/10.1038/nmeth.f.303</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20100411</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>QIIME analysis</srccitea>\n <srccontr>Methodology used in processing step 4</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Jai Ram Rideout</origin>\n <origin>Yan He</origin>\n <origin>Jose A. Navas-Molina</origin>\n <origin>William A. Walters</origin>\n <origin>Luke K. Ursell</origin>\n <origin>Sean M. Gibbons</origin>\n <origin>John Chase</origin>\n <origin>Daniel McDonald</origin>\n <origin>Antonio Gonzalez</origin>\n <origin>Adam Robbins-Pianka</origin>\n <origin>Jose C. Clemente</origin>\n <origin>Jack A. Gilbert</origin>\n <origin>Susan M. Huse</origin>\n <origin>Hong-Wei Zhou</origin>\n <origin>Rob Knight</origin>\n <origin>J. Gregory Caporaso</origin>\n <pubdate>20140821</pubdate>\n <title>Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>PeerJ</sername>\n <issue>vol. 2</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>PeerJ</publish>\n </pubinfo>\n <othercit>ppg. e545</othercit>\n <onlink>https://doi.org/10.7717/peerj.545</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20140821</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>OTU definitions</srccitea>\n <srccontr>Methodology used in processing step 4</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Robert C. Edgar</origin>\n <pubdate>20100812</pubdate>\n <title>Search and clustering orders of magnitude faster than BLAST</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Bioinformatics</sername>\n <issue>vol. 26, issue 19</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Oxford University Press (OUP)</publish>\n </pubinfo>\n <othercit>ppg. 2460-2461</othercit>\n <onlink>https://doi.org/10.1093/bioinformatics/btq461</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20100812</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>unclust method</srccitea>\n <srccontr>Methodology used in processing step 4</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Daniel McDonald</origin>\n <origin>Morgan N Price</origin>\n <origin>Julia Goodrich</origin>\n <origin>Eric P Nawrocki</origin>\n <origin>Todd Z DeSantis</origin>\n <origin>Alexander Probst</origin>\n <origin>Gary L Andersen</origin>\n <origin>Rob Knight</origin>\n <origin>Philip Hugenholtz</origin>\n <pubdate>20111201</pubdate>\n <title>An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>The ISME Journal</sername>\n <issue>vol. 6, issue 3</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Springer Nature</publish>\n </pubinfo>\n <othercit>ppg. 610-618</othercit>\n <onlink>https://doi.org/10.1038/ismej.2011.139</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20111201</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Greengenes</srccitea>\n <srccontr>Methodology used in processing step 4</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Q. Wang</origin>\n <origin>G. M. Garrity</origin>\n <origin>J. M. Tiedje</origin>\n <origin>J. R. Cole</origin>\n <pubdate>20070622</pubdate>\n <title>Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Applied and Environmental Microbiology</sername>\n <issue>vol. 73, issue 16</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>American Society for Microbiology</publish>\n </pubinfo>\n <othercit>ppg. 5261-5267</othercit>\n <onlink>https://doi.org/10.1128/AEM.00062-07</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20070622</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>RDP classifier</srccitea>\n <srccontr>Methodology used in processing step 4</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>National Water Information System</origin>\n <pubdate>20150921</pubdate>\n <title>USGS NWIS hydrologic data East Chicago, IN (Jeorse Park)</title>\n <geoform>tabular digital data</geoform>\n <othercit>NWIS station at East Chicago</othercit>\n <onlink>https://waterdata.usgs.gov/nwis/uv/?site_no=04092788&agency_cd=USGS&amp;referred_module=qw</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <mdattim>\n <sngdate>\n <caldate>20150812</caldate>\n </sngdate>\n <sngdate>\n <caldate>20150901</caldate>\n </sngdate>\n <sngdate>\n <caldate>20150921</caldate>\n </sngdate>\n </mdattim>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>NWIS EC Hydro</srccitea>\n <srccontr>Data for modeling</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>https://waterdata.usgs.gov/nwis/uv/?site_no=04092440&agency_cd=USGS&amp;referred_module=qw</origin>\n <pubdate>20150921</pubdate>\n <title>USGS NWIS hydrologic data Chicago, IL (Jackson Park,) 63rd st</title>\n <geoform>tabular digital data</geoform>\n <othercit>NWIS station at Jackson Park (63rd St)</othercit>\n <onlink>https://waterdata.usgs.gov/nwis/uv/?site_no=04092440&agency_cd=USGS&amp;referred_module=qw</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <mdattim>\n <sngdate>\n <caldate>20150812</caldate>\n </sngdate>\n <sngdate>\n <caldate>20150901</caldate>\n </sngdate>\n <sngdate>\n <caldate>20150921</caldate>\n </sngdate>\n </mdattim>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>NWIS Chi Hydro</srccitea>\n <srccontr>Data for modeling</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Field Collections:\n\nWater samples were collected during two dry events (8/12/2015 and 9/1/2015) and one rain event (9/21/2015). Sampling sites were located in the Grand Calumet River at Columbus Drive (GCR), at the mouth of the river (GCM), at offshore locations north (GCN) and east (GCE) of the peninsula that lies between the river mouth and Jeorse Park, and at three nearshore locations: Jeorse Park (JP), East Chicago, Indiana; Whihala Beach (WHW), Whiting, Indiana; and 63rd Street Beach (63rd), Chicago, Illinois. All water samples were analyzed for E. coli, turbidity, and subjected to metagenomics for determining microbial communities. \n\nAt each location, water samples were collected using sterile Nalgene plastic bottles following protocols outlined in Standard Methods (American Public Health Association 2005), USGS protocols (Whitman and Nevers 2004), and Annapolis Protocol (World Health Organization 1999). Shoreline samples were collected in ~45 cm-deep water, 10cm below the surface, GC samples were collected from an overhead bridge using a sterile bucket, and offshore samples (surface water) were collected using a sterile Nalgene plastic bottle from a boat. Samples were transported to the laboratory in a cooler, on ice, and analyzed or filtered within 6 hr of collection. Ambient conditions were measured at the time of sample collection: water and air temperature (oC, H-B instrument, Trappe, PA), current speed (US EPA, 2008) and direction (eastward, westward, float method), wind direction and speed (m/s, SKYTECH, Weatherhawk, Logan, Utah), wave height (inches, meter stick), rainfall (<24 hr, <48, <72, and >72 prior to sample collection), and cloud cover (percent scale). Bird counts were recorded, as well as general beach conditions, including amount of debris, trash, and Cladophora algae. \n\nCitations:\n\nAmerican Public Health Association. 2005. Standard Methods for the Examination of Water and Wastewater, 21st Edition. American Public Health Association, Washington, D.C.\n\nWhitman, R.L., and M.B. Nevers. 2004. Escherichia coli sampling reliability at a frequently closed Chicago beach: Monitoring and management implications. Environ. Sci. Technol. 38:4241-4246.\n\nWorld Health Organization. 1999. Health-based monitoring of recreational waters: The feasibility of a new approach (The "Annapolis Protocol") WHO/SDE/WSH/99.1. World Health Organization, Sustainable Development and Healthy Environments, Geneva.</procdesc>\n <procdate>20150921</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Katarzyna Przybyla-Kelly</cntper>\n <cntorg>U.S. Geological, Great Lakes Science Center, Lake Michigan Ecological Research Station</cntorg>\n </cntperp>\n <cntpos>Biological Technician</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>1574 Kemil Road N 300 E</address>\n <city>Chesterton</city>\n <state>IN</state>\n <postal>46304</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>219-926-8336</cntvoice>\n <cntfax>219-929-5792</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n <procstep>\n <procdesc>E. coli analysis: \n\nWater samples were analyzed for E. coli using the IDEXX Colilert\xc2\xae-18 (Colilert) and Quanti-Tray\xc2\xae 2000 (Quanti-Tray) method (IDEXX Laboratories, Westbrook, Maine), a defined substrate technology (Edberg, Allen et al. 1991) based on a most probable number (MPN). The contents of one Colilert reagent pack was added to a sterile, 250 mL Nalgene bottle containing 100 mL sample (methods required amount) and the reagent was left to dissolve. Once dissolved the mixture was gently shaken, poured into a quanti-Tray and sealed with a Quanty-Tray sealer. The Quanti-Trays were then incubated for 18 hours at 35\xc2\xb10.5\xc2\xb0C. After 18 hours incubation, the trays were viewed under UV lights, the E. coli positive (yellow and fluorescing) wells (Big and small) were counted, an E. coli count was derived from the manufacturer provided MPN table, and results were recorded as MPN/100 mL. If a sample was expected to miss the methods end-point (MPN >2419 MPN/100 mL), a sample dilution was employed, in which a smaller sample volume was measured and poured into a nalgene bottle containing a predetermined amount of sterile water to accomplish the precise dilution and 100 mL volume. In this case, the MPN result was multiplied by the appropriate dilution factor to calculate the E. coli count. If any sample missed the end-point after incubation, the sample was immediately reran using a dilution (previously undiluted) or greater dilution (previously diluted).\n\nCitation:\n\nEdberg, S.C., M.J. Allen, and D.B. Smith. 1991. Defined substrate technology method for rapid and specific simultaneous enumeration of total coliforms and Escherichia coli from water: Collaborative study. J. Assoc. Off. Anal. Chem. 74:526-529.</procdesc>\n <procdate>20150921</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Dawn A Shively</cntper>\n <cntorg>U.S. Geological, Great Lakes Science Center, Lake Michigan Ecological Research Station</cntorg>\n </cntperp>\n <cntpos>Biological Technician</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>1574 Kemil Road N 300 E</address>\n <city>Chesterton</city>\n <state>IN</state>\n <postal>46304</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>219-926-8336 x427</cntvoice>\n <cntfax>219-929-5792</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n <procstep>\n <procdesc>DNA extraction:\n\nIn the laboratory, water samples were concentrated by vacuum filtration first through a 5.0 \xce\xbcm nitrocellulose (Millipore) then 0.2 \xce\xbcm nitrocellulose filter (Millipore) then stored at -80\xc2\xb0C until DNA extraction. Total genomic DNA from each 0.2 \xce\xbcm filter was extracted using the MoBio PowerWater kit according to the manufacturer\xe2\x80\x99s instructions. Nucleic acid quality (i.e., 260/280 ratio) was measured with a Nanodrop 1000 spectrophotometer (Thermo Scientific, Wilmington, DE). DNA concentrations for all samples were measured by fluorometric quantitation using a Qubit\xc2\xae instrument and High Sensitivity dsDNA HS Assay kit (Thermo Fisher Scientific, Waltham, Massachusetts); and purified DNA extracts were stored at -80\xc2\xb0C until used.</procdesc>\n <procdate>20150921</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Ashley M Spoljaric</cntper>\n <cntorg>U.S. Geological, Great Lakes Science Center, Lake Michigan Ecological Research Station</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>1574 Kemil Road N 300 E</address>\n <city>Chesterton</city>\n <state>IN</state>\n <postal>46304</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>219-926-8336</cntvoice>\n <cntfax>219-929-5792</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n <procstep>\n <procdesc>Illumina 16S rRNA gene sequencing:\n\nThe 16S rRNA gene in water DNA extracts was PCR-amplified using primers targeting the V3-V4 region (343-forward TAC GGR AGG CAG CAG and 804-reverse CTA CCR GGG TAT CTA ATC C) [Liu, 2008 #20399;Nossa, 2010 #24767]. Primers with dual index tags were used to differentiate multiple samples in a single run following the manufacturer\xe2\x80\x99s (Illumina, San Diego, CA) suggested step out protocol [Gloor, 2010 #30735]. Reactions were carried out using ~10 ng of template DNA in Q5\xc2\xae High Fidelity DNA Polymerase 2X master mix (New England Biolabs). PCR amplicons were purified using AxyPrepMag PCR clean-up kit (Axygen Scientific) and quantified using a Nanodrop 3000 fluorospectrophotometer after staining with the QuantiFluor dsDNA System (Promega). Equimolar amounts of amplicons from each sample were combined and sent to the Purdue Genomics core facilities for 2x250 paired end sequencing using a MiSeq Illumina system. Sequence reads were pre-processed to remove primer tags and low-quality sequences, and paired end reads were merged.\n\n16S rRNA gene sequence analysis:\n\nSequences were analyzed using the QIIME pipeline (version 1.9.1) [Caporaso, 2010 #25358]. OTUs were picked using the \xe2\x80\x9cpick_open_otus\xe2\x80\x9d option in QIIME [Rideout, 2014 #37277] that uses a 97% sequence similarity threshold, the uclust method [Edgar, 2010 #24269] for clustering, sequence alignment using PyNAST [Caporaso, 2010 #25358], and taxonomic assignment to the Greengenes data set version 13_5 [McDonald, 2012 #29680] using the RDP classifier [Wang, 2007 #21910]. The lowest number of reads among the samples was chosen to rarefy datasets to use equal number of reads for all community comparisons.\n\nThe raw metagenomic data can be accessed at the NCBI repository under the biproject accession PRJNA541325: https://www.ncbi.nlm.nih.gov/sra/PRJNA541325.\n\nReferences:\n\nLiu, Z. Z.; DeSantis, T. Z.; Andersen, G. L.; Knight, R., Accurate taxonomy assignments from 16S rRNA sequences produced by highly parallel pyrosequencers. Nucleic Acids Res. 2008, 36 (18), e120.\n\nNossa, C. W.; Oberdorf, W. E.; Yang, L. Y.; Aas, J. A.; Paster, B. J.; DeSantis, T. Z.; Brodie, E. L.; Malamud, D.; Poles, M. A.; Pei, Z. H., Design of 16S rRNA gene primers for 454 pyrosequencing of the human foregut microbiome. World J. Gastroenterol. 2010, 16 (33), 4135-4144.\n\nGloor, G. B.; Hummelen, R.; Macklaim, J. M.; Dickson, R. J.; Fernandes, A. D.; MacPhee, R.; Reid, G., Microbiome profiling by Illumina sequencing of combinatorial sequence-tagged PCR products. PLoS ONE 2010, 5 (10), e15406.\n\nCaporaso, J. G.; Kuczynski, J.; Stombaugh, J.; Bittinger, K.; Bushman, F. D.; Costello, E. K.; Fierer, N.; Pena, A. G.; Goodrich, J. K.; Gordon, J. I.; Huttley, G. A.; Kelley, S. T.; Knights, D.; Koenig, J. E.; Ley, R. E.; Lozupone, C. A.; McDonald, D.; Muegge, B. D.; Pirrung, M.; Reeder, J.; Sevinsky, J. R.; Turnbaugh, P. J.; Walters, W. A.; Widmann, J.; Yatsunenko, T.; Zaneveld, J.; Knight, R., QIIME allows analysis of high-throughput community sequencing data. Nat. Meth. 2010, 7 (5), 335-336.\n\nRideout, J. R.; He, Y.; Navas-Molina, J. A.; Walters, W. A.; Ursell, L. K.; Gibbons, S. M.; Chase, J.; McDonald, D.; Gonzalez, A.; Robbins-Pianka, A.; Clemente, J. C.; Gilbert, J. A.; Huse, S. M.; Zhou, H.-W.; Knight, R.; Caporaso, J. G., Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences. PeerJ 2014, 2, e545.\n\nEdgar, R. C., Search and clustering orders of magnitude faster than BLAST. Bioinformatics 2010, 26 (19), 2460-2461.\n\nMcDonald, D.; Price, M. N.; Goodrich, J.; Nawrocki, E. P.; DeSantis, T. Z.; Probst, A.; Andersen, G. L.; Knight, R.; Hugenholtz, P., An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea. ISME J. 2012, 6 (3), 610-618.\n\nWang, Q.; Garrity, G. M.; Tiedje, J. M.; Cole, J. R., Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 2007, 73 (16), 5261-5267.</procdesc>\n <procdate>20150921</procdate>\n </procstep>\n <procstep>\n <procdesc>Second Release of "16S rRNA gene sequencing and E. coli for shorelines and the Grand Calumet River, Indiana, 2015" of data release:\n\nUpdated: 03/22/2019\n\nFirst data release \xe2\x80\x93 (version 1.0, December 2018)\n\nData Clean-Up Release \xe2\x80\x93 (version 2.0, July 2019)\n\nThe data were updated in April of 2019 to exclude data determined to be provisional. These provisional data were not used in any data analysis.\n\nData excluded were AirT-NWIS, WndDir-NWIS, WndSpd-NWIS, Hum-NWIS, and Press-NWIS [meteorological data averaged over a 4 hour period (6:00-9:00 AM)] and AirT-NWIS-Bin, WndDir-NWIS-Bin, WndSpd-NWIS-Bin, Hum-NWIS-Bin, and Press-NWIS-Bin (averaged meteorological data sub-divided into: 1, low; 2, medium; 3, medium/high; and 4, high using a visual binning method in SPSS; binning cut points were made using the \xc2\xb1 1 SD option).\n\nThe associated metadata xml file was updated to match the current data version. All reference to the removed provisional data have been removed from Entity and Attribute, Identification, and Data Quality (Source inputs) sections.</procdesc>\n <procdate />\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Coordinate.csv</enttypl>\n <enttypd>This table contains information associated with sampling locations, including latitude, longitude, and GPS systems (offshore samples).</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Location_ID</attrlabl>\n <attrdef>shortened location name representing the sampling locations</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Indicates the alphanumeric ID for sampling locations for the study</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Location_name</attrlabl>\n <attrdef>Formal location name</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Formal names for the sampling locations.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Latitude</attrlabl>\n <attrdef>Latitude in decimal degrees (WGS84)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Latitude for each location obtained from Google Earth (WH R0, WHW R1 and R2, GCR, JP R1-3, and 63 R1-3) and GPS system (offshore samples, GCM, GCN, and GCE).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Longitude</attrlabl>\n <attrdef>Longitude in decimal degrees (WGS84)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Latitude for each location obtained from Google Earth (WH R0, WHW R1 and R2, GC, JP R1-3, and 63 R1-3) and GPS system (offshore samples, GCM, GCN, and GCE).</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Data.csv</enttypl>\n <enttypd>This table includes E. coli densities, laboratory turbidity measurements, and National Water Information System (NWIS) Hydrologic measurements. \n\nHydrologic data were obtained from USGS NWIS stations at East Chicago, IN (Jeorse Park, 04092788) and Jackson Park, IL (63rd, 04092440). NWIS \n\nNWIS hydrologic data were aggregated over a 4 hour period (6:00-9:00 AM, average) for analysis.\n\nAll data were sub-divided into: 1, low; 2, medium; 3, medium/high; and 4, high for analysis using the visual binning method in SPSS; binning cut points were made using the \xc2\xb1 1 SD option.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>SampleID</attrlabl>\n <attrdef>Number assigned to a given sample for metagenomic analysis purposes. Metagenomic data previously released (http://doi.org/10.5066/P9M8Y8F3).</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Indicates the alphanumeric ID for sampling locations for the study.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Date</attrlabl>\n <attrdef>Sample collection date</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Sampling dates were as follows:\n\nTwo dates were during dry weather conditions (8/12/2015, 9/1/2015) and one date was after a rainfall event (9/21/2015).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Location_ID</attrlabl>\n <attrdef>Shortened sampling location name</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See location_ID and Location_name in Coordinate.csv table for specific latitude and longitude for each location and replicate</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Replicate</attrlabl>\n <attrdef>Replicate number R1-R3 or R0-R2</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Represents sample (GC, GCM, GCE, GCN) or field (WH, WHW, JP, 63) replicate.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WaterSource</attrlabl>\n <attrdef>Type of water body from which sample was collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Waterbody types include Lake_nearshore (beaches), Lake_offshore (off shore locations around peninsula that lies between the river mouth and Jeorse Park Beach), River (bridge at Columbus Dr), and River_mouth (river mouth to Lake Michigan)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Event</attrlabl>\n <attrdef>Weather event (dry or wet)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Water samples were collected during base flow conditions (dry) or in association with a rain event (wet)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FilterSize</attrlabl>\n <attrdef>Filter pore size used in vacuum filtration for capturing DNA</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>water samples were pre-filtered through 0.5 um pore size and resulting filtrate through a 0.22 um pore size. DNA from each filter size was extracted and analyzed separately for each sample; 0.22 um are included in this table.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ecoli</attrlabl>\n <attrdef>Culture-based E. coli measurements</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.5</rdommin>\n <rdommax>1633</rdommax>\n <attrunit>MPN/100 mL</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ecoli-Bin</attrlabl>\n <attrdef>Ecoli data sub-divisions</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>4</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Turbidity-Lab</attrlabl>\n <attrdef>Laboratory analyzed turbidity measurements</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.27</rdommin>\n <rdommax>19.3</rdommax>\n <attrunit>NTU</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Turbidity-Lab-Bin</attrlabl>\n <attrdef>Turbidity-Lab data sub-divisions</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>4</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Turbidity-NWIS</attrlabl>\n <attrdef>NWIS Turbidity measurements</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.32</rdommin>\n <rdommax>1.99</rdommax>\n <attrunit>FNU</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Turbidity-NWIS-Bin</attrlabl>\n <attrdef>Turbidity-NWIS data sub-divisions</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>3</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WtrT-NWIS</attrlabl>\n <attrdef>NWIS Water temperature measurements</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>17.66</rdommin>\n <rdommax>23.29</rdommax>\n <attrunit>Degrees celcius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WtrT-NWIS-Bin</attrlabl>\n <attrdef>WtrT-NWIS data sub-divisions</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>4</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pH-NWIS</attrlabl>\n <attrdef>NWIS pH measurements</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8.31</rdommin>\n <rdommax>8.50</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pH-NWIS-Bin</attrlabl>\n <attrdef>pH-NWIS data sub-divisions</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>4</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cond-NWIS</attrlabl>\n <attrdef>NWIS Specific conductance measurements</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>287.97</rdommin>\n <rdommax>300.47</rdommax>\n <attrunit>uS/cm</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cond-NWIS-Bin</attrlabl>\n <attrdef>Cond-NWIS data sub-divisions</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>4</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DO-NWIS</attrlabl>\n <attrdef>NWIS Dissolved oxygen measurements</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>7.92</rdommin>\n <rdommax>10.38</rdommax>\n <attrunit>mg/Lt</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DO-NWIS-Bin</attrlabl>\n <attrdef>DO-NWIS data sub-divisions</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>3</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Field.csv</enttypl>\n <enttypd>This table contains sanitary survey data collected in conjunction with water sample collections.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Date</attrlabl>\n <attrdef>Field data collection date</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Sampling dates were as follows:\n\nOne date was during dry weather conditions (9/1/2015) and one date was after a rainfall event (9/21/2015).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Location_ID</attrlabl>\n <attrdef>Shortened sampling location name</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See table Coordinate.csv for specific information on these sampling locations. For sites in which there were field replicates, field data was collected from middle location.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Time</attrlabl>\n <attrdef>Field collection time</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Time in which sanitary surveys were performed (HH:MM AM)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>AirT</attrlabl>\n <attrdef>Field measured air temperature</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>19.3</rdommin>\n <rdommax>28.5</rdommax>\n <attrunit>Degrees celcius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WtrT</attrlabl>\n <attrdef>Field measured water temperature</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>17.4</rdommin>\n <rdommax>25.4</rdommax>\n <attrunit>Degrees celcius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WndSpd</attrlabl>\n <attrdef>Field measured wind speed</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.7</rdommin>\n <rdommax>3</rdommax>\n <attrunit>m/s</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WndDir</attrlabl>\n <attrdef>Field measured wind direction</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Cardinal wind direction estimated by field technician.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SkyCond</attrlabl>\n <attrdef>Field measure sky conditions</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Determined by the fraction of cloud cover estimated by the field technician\n\nOptions:\nSunny\nMostly Sunny\nPartly Sunny\nMostly Cloudy\nCloudy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CldCvr</attrlabl>\n <attrdef>Field measured cloud cover</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Amount of cloud cover (fraction) estimated by field technicians.\n\nOptions:\nNo clouds\n1/8-2/8\n3/8-1/2\n5/8-7/8\nTotal coverage</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PriorRain</attrlabl>\n <attrdef>Prior rainfall</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Rainfall previous to sample collection time, estimated by field technicians.\n\nOptions:\nLess than 24, Less than 48, Less than 72, greater than 72 hours</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WvHgt</attrlabl>\n <attrdef>Wave height (inches) measured with meter stick by field technicians</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6</rdommax>\n <attrunit>Inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CurrTime</attrlabl>\n <attrdef>Field measured current time: How long (seconds) it takes for a bobber placed in the middle of two field flags positioned in the water (45 cm depth) parallel to the shore and spaced 182 cm to reach a given flag (91 cm).</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>If bobber did not move for 120 seconds, value was recorded as 120+\n\nValue range: 19-120+ seconds</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CurrSpd</attrlabl>\n <attrdef>Calculated current speed: 91 cm/Current_Time. 0 equals no current</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>4.79</rdommax>\n <attrunit>m/s</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CurrDir</attrlabl>\n <attrdef>Field measured current direction.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Direction in which bobber traveled when determining Current_Time; observed by field technician.\n\nOptions:\nEast, west, none</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GullsWater</attrlabl>\n <attrdef>Number of gulls counted in the water</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>46</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GeeseWater</attrlabl>\n <attrdef>Number of geese counted in the water</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>4</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GullsBeach</attrlabl>\n <attrdef>Number of gulls counted on the beach</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>115</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GeeseBeach</attrlabl>\n <attrdef>Number of geese counted on the beach</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ND</edomv>\n <edomvd>Data not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>9</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Observations</attrlabl>\n <attrdef>Field observations</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>General conditions observed by field technician at/near the study location. Information pertinent to sanitary conditions such as, trash, fecal droppings, shorebird feathers, location of shorebirds, algal accumulations, etc...</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://www.sciencebase.gov/catalog/item/5c069aafe4b0815414cecb5c</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200820</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Meredith Nevers</cntper>\n <cntorg>U.S. Geological, Great Lakes Science Center, Lake Michigan Ecological Research Station</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing</addrtype>\n <address>1574 Kemil Road N 300 E</address>\n <city>Chesterton</city>\n <state>IN</state>\n <postal>46304</postal>\n </cntaddr>\n <cntvoice>219-926-8336 x425</cntvoice>\n <cntfax>219-929-5792</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <metuc>Record created using USGS Metadata Wizard tool. (https://github.com/usgs/fort-pymdwizard)</metuc>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Effects of Hillslope Gully Stabilization on Erosion and Sediment Production in the Torreon Wash Watershed, New Mexico, 2009–2012 - Associated Data](/catalog/folder/59d7f8d4e4b05fe04cc81d7e)
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## Dates
Publication Date2018-02-09Start Date2009End Date2012
## Citation
Matherne, A.M., Tillery, A.C., Douglas-Mankin, K.R., and Soles, Ellen, 2018, Effects of Hillslope Gully Stabilization on Erosion and Sediment Production in the Torreon Wash Watershed, New Mexico, 2009–2012 - Associated Data: U.S. Geological Survey data release, https://doi.org/10.5066/F7Q52NK3.
## Summary
Sediment erosion and deposition in two sets of paired (treated and untreated) upland drainages in the Torreon Wash watershed, upper Rio Puerco Basin, New Mexico, were examined over a 3 1/2-year period from spring 2009 through fall 2012. The objective was to evaluate the effectiveness of shallow, loose-stone check dams, or “one-rock dams,” as a hillslope gully erosion stabilization and mitigation method, and its potential for retaining upland eroded soils and decreasing delivery of sediment to lower ephemeral stream channels. Two high-resolution topographic surveys, completed at the beginning and end of the study period, were used to assess the impact of the mitigation measures in both Penistaja Tributary Arroyo and Papers Wash watersheds, \[...\]
## Summary
Sediment erosion and deposition in two sets of paired (treated and untreated) upland drainages in the Torreon Wash watershed, upper Rio Puerco Basin, New Mexico, were examined over a 3 1/2-year period from spring 2009 through fall 2012. The objective was to evaluate the effectiveness of shallow, loose-stone check dams, or “one-rock dams,” as a hillslope gully erosion stabilization and mitigation method, and its potential for retaining upland eroded soils and decreasing delivery of sediment to lower ephemeral stream channels. Two high-resolution topographic surveys, completed at the beginning and end of the study period, were used to assess the impact of the mitigation measures in both Penistaja Tributary Arroyo and Papers Wash watersheds, and at six mainstem-channel cross-section clusters along Penistaja Tributary Arroyo and Papers Wash tributary in the Torreon Wash watershed. This data release contains the survey data, constructed cross sections, and associated precipitation data collected for the analysis used in this study.
## Contacts
Originator
:
[Anne Marie Matherne](/catalog/catalogParty/show?partyId=Anne+Marie+Matherne),
[Anne C. Tillery](/catalog/catalogParty/show?partyId=Anne+C.+Tillery),
[Kyle R. Douglas-Mankin](/catalog/catalogParty/show?partyId=Kyle+R.+Douglas-Mankin),
[Ellen Soles](/catalog/catalogParty/show?partyId=Ellen+Soles)
Metadata Contact
:
[Zachary M Shephard](/catalog/catalogParty/show?partyId=Zachary+M+Shephard)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
:
[New Mexico Water Science Center](/catalog/catalogParty/show?partyId=17377)
## Attached Files - sorting - [Metadata First](/catalog/item/get/59d7f8d4e4b05fe04cc81d7e?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/59d7f8d4e4b05fe04cc81d7e?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/59d7f8d4e4b05fe04cc81d7e?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
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| Effects\_of\_Hillslope\_Gully\_Stabilization\_Summary\_Metadata.xml<br>_Original FGDC Metadata_ | View | 8.86 KB | application/fgdc+xml |
| Effects\_of\_Hillslope\_Gully\_Stabilization\_Data.zip | | 4.36 MB | application/zip |
| Effects\_of\_Hillslope\_Gully\_Stabilization\_Metadata.zip | | 134.38 KB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Matherne, A.M., Tillery, A.C., and Douglas-Mankin, K.R., 2018, Effects of hillslope gully stabilization on erosion and sediment production in the Torreon Wash watershed, New Mexico, 2009–12: U.S. Geological Survey Scientific Investigations Report 2018–5026, 35 p., https://doi.org/10.3133/sir20185026. | [https://doi.org/10.3133/sir20185026](https://doi.org/10.3133/sir20185026 "https://doi.org/10.3133/sir20185026") |
## Purpose
This data set documents data collected fo a study designed to evaluate the changes to erosion and sediment transport by erosion mitigation projects in the Torreon Wash watershed, Rio Puerco Basin, northwestern New Mexico. The effectiveness of upland mitigation treatments in managing gully development and retaining sediment on hillslopes was examined using two methods: (1) sediment erosion and deposition were measured and compared in two sets of paired (treated and untreated) upland drainages (subwatersheds) over a 3 1/2-year period from spring 2009 through fall 2012; and (2) downstream changes in channel erosion were evaluated through repeated channel cross-section measurements in the mainstem Penistaja Tributary Arroyo and Papers Wash tributary over the same time period.
## [Map](/catalog/item/imap/59d7f8d4e4b05fe04cc81d7e)
[](/catalog/item/imap/59d7f8d4e4b05fe04cc81d7e)
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## Tags
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## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7Q52NK3 |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Anne Marie Matherne</origin>\n <origin>Anne C. Tillery</origin>\n <origin>Kyle R. Douglas-Mankin</origin>\n <origin>Ellen Soles</origin>\n <pubdate>2018</pubdate>\n <title>Effects of Hillslope Gully Stabilization on Erosion and Sediment Production in the Torreon Wash Watershed, New Mexico, 2009\xe2\x80\x932012 - Associated Data</title>\n <onlink>https://doi.org/10.5066/F7Q52NK3</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Anne Marie Matherne</origin>\n <origin>Anne C. Tillery</origin>\n <origin>Kyle R. Douglas-Mankin</origin>\n <pubdate>2017</pubdate>\n <title>Effects of Hillslope Gully Stabilization on Erosion and Sediment Production in the Torreon Wash Watershed, New Mexico, 2009-12</title>\n <geoform>Publication (Other)</geoform>\n <serinfo>\n <sername>Scientific Investigations Report</sername>\n <issue />\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Sediment erosion and deposition in two sets of paired (treated and untreated) upland drainages in the Torreon Wash watershed, upper Rio Puerco Basin, New Mexico, were examined over a 3 1/2-year period from spring 2009 through fall 2012. The objective was to evaluate the effectiveness of shallow, loose-stone check dams, or \xe2\x80\x9cone-rock dams,\xe2\x80\x9d as a hillslope gully erosion stabilization and mitigation method, and its potential for retaining upland eroded soils and decreasing delivery of sediment to lower ephemeral stream channels. Two high-resolution topographic surveys, completed at the beginning and end of the study period, were used to assess the impact of the mitigation measures in both Penistaja Tributary Arroyo and Papers Wash watersheds, and at six mainstem-channel cross-section clusters along Penistaja Tributary Arroyo and Papers Wash tributary in the Torreon Wash watershed. This data release contains the survey data, constructed cross sections, and associated precipitation data collected for the analysis used in this study.</abstract>\n <purpose>This data set documents data collected fo a study designed to evaluate the changes to erosion and sediment transport by erosion mitigation projects in the Torreon Wash watershed, Rio Puerco Basin, northwestern New Mexico. The effectiveness of upland mitigation treatments in managing gully development and retaining sediment on hillslopes was examined using two methods: (1) sediment erosion and deposition were measured and compared in two sets of paired (treated and untreated) upland drainages (subwatersheds) over a 3 1/2-year period from spring 2009 through fall 2012; and (2) downstream changes in channel erosion were evaluated through repeated channel cross-section measurements in the mainstem Penistaja Tributary Arroyo and Papers Wash tributary over the same time period.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2009</begdate>\n <enddate>2012</enddate>\n </rngdates>\n </timeinfo>\n <current>observed</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-107.350332033</westbc>\n <eastbc>-107.280186661</eastbc>\n <northbc>35.947853359</northbc>\n <southbc>35.925219002</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>none</themekt>\n <themekey>survey points</themekey>\n <themekey>gps</themekey>\n <themekey>total station</themekey>\n <themekey>elevations</themekey>\n <themekey>thalweg</themekey>\n <themekey>drainage</themekey>\n <themekey>topography</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:59d7f8d4e4b05fe04cc81d7e</themekey>\n </theme>\n <place>\n <placekt>none</placekt>\n <placekey>Penistaja Arroyo</placekey>\n <placekey>NM</placekey>\n <placekey>USA</placekey>\n <placekey>North America</placekey>\n <placekey>Rio Puerco</placekey>\n </place>\n <stratum>\n <stratkt>none</stratkt>\n <stratkey>paired watersheds</stratkey>\n </stratum>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <datacred>Survey and cross section data were collected by contractor Ellen S. Soles. Tipping-bucket rain gage data were downloaded by local observers from the Ojo Encino Navajo Youth Group.</datacred>\n <native>Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1 (Build 5686) Service Pack N/A (Build N/A)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>See individual metadata files associated with this data release for process steps of specific data sets.</procdesc>\n <procdate>2017</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200825</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Zachary M Shephard</cntper>\n <cntorg>U.S. Geological Survey, SOUTHWEST REGION</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>6700 Edith Blvd NE</address>\n <city>Albuquerque</city>\n <state>NM</state>\n <postal>87113</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>505-830-7900</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Stream Metabolism Estimated from Dissolved Oxygen Data in Connecticut streams, 2015-18](/catalog/folder/5eb2e11282cefae35a29d680)
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## Dates
Publication Date2021-03-31Start Date2015-06-01End Date2018-09-30
## Citation
Izbicki, B.J., and Morrison, J., 2021, Stream metabolism estimated from dissolved oxygen data in Connecticut streams, 2015-18: U.S. Geological Survey data release, https://doi.org/10.5066/P9HW6IP1.
## Summary
This dataset provides details from stream metabolism models for 11 stream sites in Connecticut that were monitored during 2015 to 2018 by the U.S. Geological Survey (USGS). Metabolism was estimated at each site using the streamMetabolizer package in the R computing environment. When data were collected for multiple years at a site, stream metabolism was separately estimated for each year. For each site-year combination, three files are provided: (1) the input data file, which includes continuous dissolved oxygen, solar time, water temperature, light, and stream depth, (2) the output data file, containing the daily metabolism estimates, and (3) a site-specific html file that serves as a guide for running the streamMetabolizer package \[...\]
## Summary
This dataset provides details from stream metabolism models for 11 stream sites in Connecticut that were monitored during 2015 to 2018 by the U.S. Geological Survey (USGS). Metabolism was estimated at each site using the streamMetabolizer package in the R computing environment. When data were collected for multiple years at a site, stream metabolism was separately estimated for each year. For each site-year combination, three files are provided: (1) the input data file, which includes continuous dissolved oxygen, solar time, water temperature, light, and stream depth, (2) the output data file, containing the daily metabolism estimates, and (3) a site-specific html file that serves as a guide for running the streamMetabolizer package for each site. File names include an abbreviated name for the site ('short\_name') to distinguish the files associated with each field site. Final metabolism models were run using a fixed value for K600, which is the mean reaeration rate coefficient scaled to a Schmidt number of 600; this fixed value was determined for each site based on initial model calibration runs. In addition to the stream metabolism files, a comma-delimited file containing basic site characteristics is included for reference. This site file includes the USGS site identifier, the site 'short name', the complete USGS site name, and the latitude and longitude of the sampling reach.
## Contacts
Point of Contact
:
[Brittney J Izbicki](/catalog/catalogParty/show?partyId=57836)
Originator
:
[Brittney J Izbicki](/catalog/catalogParty/show?partyId=57836),
[Jonathan Morrison](/catalog/catalogParty/show?partyId=7206)
Metadata Contact
:
[Brittney J Izbicki](/catalog/catalogParty/show?partyId=57836)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[New England Water Science Center](/catalog/catalogParty/show?partyId=17206)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
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Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| Stream metabolism estimated from dissolved oxygen data in Connecticut streams 2015-18.xml<br>_Original FGDC Metadata_ | View | 42.69 KB | application/fgdc+xml |
| BeaconFalls.zip | | 3.23 MB | application/zip |
| French.zip | | 2.09 MB | application/zip |
| NorthBranch.zip | | 2.39 MB | application/zip |
| Norwalk.zip | | 777.81 KB | application/zip |
| Pequabuck.zip | | 851.95 KB | application/zip |
| Quinebaug.zip | | 2.19 MB | application/zip |
| Redding.zip | | 2.42 MB | application/zip |
| Salmon.zip | | 2.36 MB | application/zip |
| Still.zip | | 3.27 MB | application/zip |
| Wallingford.zip | | 3.14 MB | application/zip |
| WestCenter.zip | | 2.93 MB | application/zip |
| Metabolism.site.info.txt<br>“Site Information” | | 922 Bytes | text/plain |
| Data Dictionary.csv | | 3.03 KB | text/csv |
| Gage\_height.ft.from\_Pressure\[email protected]<br>“Gage Height at Pequabuck 2016” | | 889.6 KB | text/csv |
| BDL.xlsx<br>“Barometric Pressure at Bradley Airport, 2015-16” | | 420.28 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| BDL\_2017\_18.xlsx<br>“Barometric Pressure at Bradley Airport, 2017-18” | | 420.63 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| BDR.xlsx<br>“Barometric Pressure at Bridgeport Airport, 2015-16” | | 421.88 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| HVN.xlsx<br>“Barometric Pressure at New Haven Airport, 2015-16” | | 422.6 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Izbicki, B., and Morrison, J., 2021, Use of dissolved oxygen monitoring to evaluate phosphorus loading in Connecticut streams, 2015–18: U.S. Geological Survey Scientific Investigations Report 2021–5024, 25 p., https://doi.org/10.3133/sir20215024. | [https://doi.org/10.3133/sir20215024](https://doi.org/10.3133/sir20215024 "https://doi.org/10.3133/sir20215024") |
## Purpose
Stream metabolism was determined from dissolved oxygen and other data collected from 2015 to 2018 as part of a study to help evaluate the effects of phosphorus loading in Connecticut streams. The stream metabolism information can aid in determining the appropriate phosphorus reductions required to meet Connecticut water-quality standards.
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## Provenance
## Additional Information
### Identifiers
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| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9HW6IP1 |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Brittney Izbicki</origin>\n <origin>Jonathan Morrison</origin>\n <pubdate>20210331</pubdate>\n <title>Stream metabolism estimated from dissolved oxygen data in Connecticut streams, 2015-18</title>\n <geoform>tabular digital data</geoform>\n <pubinfo>\n <pubplace>Reston, Va</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9HW6IP1</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Brittney Izbicki</origin>\n <origin>Jonathan Morrison</origin>\n <pubdate>2021</pubdate>\n <title>Use of dissolved oxygen monitoring to evaluate phosphorus loading in Connecticut streams, 2015\xe2\x80\x9318</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/sir20215024</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This dataset provides details from stream metabolism models for 11 stream sites in Connecticut that were monitored during 2015-2018 by the U.S. Geological Survey. Metabolism was estimated at each site using the streamMetabolizer package in the R computing environment. When data were collected for multiple years at a site, stream metabolism was separately estimated for each year. For each site and for each year, three files are provided; (1) the input data file, which includes continuous dissolved oxygen, solar time, water temperature, light, and stream depth, (2) the output data file, containing the daily metabolism estimates, and (3) a site-specific html file that serves as a guide for running the streamMetabolizer package for each site. File names include an abbreviated name for the site (The site \'short_name\') to distinguish the files associated with each field site. Final metabolism models were run using a fixed value for K600, which is the mean reaeration rate coefficient scaled to a Schmidt number of 600; this fixed value was determined for each site based on initial model calibration runs. \n\nIn addition to the stream metabolism files, a comma-delimited file containing basic site characteristics is included for reference. This site file includes the USGS site identifier, the site \'short name\', the complete USGS site name, and the latitude and longitude of the sampling reach.</abstract>\n <purpose>Stream metabolism was determined from dissolved oxygen and other data collected from 2015 to 2018 as part of a study to help evaluate the effects of phosphorus loading in Connecticut streams. The stream metabolism information can aid in determining the appropriate phosphorus reductions required to meet Connecticut water-quality standards.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20150601</begdate>\n <enddate>20180930</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-73.630414844608</westbc>\n <eastbc>-71.75724589937</eastbc>\n <northbc>42.071733311907</northbc>\n <southbc>41.002712677281</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>water quality</themekey>\n <themekey>oxygen content (water)</themekey>\n <themekey>photosynthesis</themekey>\n <themekey>surface water (non-marine)</themekey>\n <themekey>nutrient content (water)</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>inlandWaters</themekey>\n <themekey>environment</themekey>\n </theme>\n <theme>\n <themekt>General Ecology</themekt>\n <themekey>stream metabolism</themekey>\n <themekey>dissolved oxygen</themekey>\n <themekey>streams</themekey>\n <themekey>gross primary productivity</themekey>\n <themekey>ecosystem respiration</themekey>\n <themekey>streamMetabolizer</themekey>\n <themekey>rivers</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5eb2e11282cefae35a29d680</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>United States</placekey>\n <placekey>Connecticut</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>None. Users are advised to read the dataset\'s metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Brittney Izbicki</cntper>\n <cntorg>Northeast Region: NEW ENGLAND WSC CT OFC</cntorg>\n </cntperp>\n <cntpos>Hydrologic Technician</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>101 Pitkin Street</address>\n <city>East Hartford</city>\n <state>CT</state>\n <postal>06108</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>860-291-6776</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>Not applicable</logic>\n <complete>Not applicable</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Northeast Regional Climate Center, New York</origin>\n <pubdate>2018</pubdate>\n <title>Barometric pressure data from Northeast Regional Climate Center, New York</title>\n <geoform>Excel file</geoform>\n <pubinfo>\n <pubplace>N/A</pubplace>\n <publish>Northeast Regional Climate Center, New York</publish>\n </pubinfo>\n <onlink>N/A</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Hourly barometric pressure</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20150101</begdate>\n <enddate>20181231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Observed</srccurr>\n </srctime>\n <srccitea>Barometric data</srccitea>\n <srccontr>Barometric pressure used to calculate dissolved oxygen percent saturation</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>USGS</origin>\n <pubdate>2018</pubdate>\n <title>Gage height data from Pequabuck River at Farmington, CT</title>\n <geoform>Excel file</geoform>\n <pubinfo>\n <pubplace>N/A</pubplace>\n <publish>USGS</publish>\n </pubinfo>\n <onlink>N/A</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Gage height data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20160429</begdate>\n <enddate>20171001</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Observed</srccurr>\n </srctime>\n <srccitea>Gage height data</srccitea>\n <srccontr>Gage height data used to calculate stream depth for stream metabolizer</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Metabolism was estimated using the streamMetabolizer package (version 0.10.9) in the R computing environment. The maximum likelihood estimation (MLE) model, with streamMetabolizer model name "m_np_oi_tr_plrckm.nlm," was used. Site-specific configuration parameters and data sources were used for each site and input data is provided in this data release. An html file for each site describes in detail the steps used to run the model and produce the output data, also provided in this data release. These html files can be used as guides to reproduce the metabolism estimates from the provided inputs. See https://owi.usgs.gov/R/gran.html for instructions on how to access current versions of the streamMetabolizer software from the U.S. Geological Survey archive.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>BeaconFalls.zip</enttypl>\n <enttypd>Zip file containing input data files, output data files, and html model run guide files for each year for which stream metabolism was estimated at the Beacon Falls site. Year is identified with a 2-digit number (15, 16, 17, or 18) in the filenames. Html files are in the R markdown format and contain the R code used to run the streamMetabolizer program. Input and output files are comma-delimited data files identified with the \xe2\x80\x9c.csv\xe2\x80\x9d extension and either \xe2\x80\x9cinputs\xe2\x80\x9d or \xe2\x80\x9cout\xe2\x80\x9d in the file name.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Attributes consisting of the explanatory variables as defined in a separate file</attrlabl>\n <attrdef>Attribute definitions and descriptions in the input and output files are defined in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See the separate file, "Data Dictionary.csv"</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>French.zip</enttypl>\n <enttypd>Zip file containing input data files, output data files, and html model run guide files for each year for which stream metabolism was estimated at the French site. Year is identified with a 2-digit number (15, 16, or 17) in the filenames. Html files are in the R markdown format and contain the R code used to run the streamMetabolizer program. Input and output files are comma-delimited data files identified with the \xe2\x80\x9c.csv\xe2\x80\x9d extension and either \xe2\x80\x9cinputs\xe2\x80\x9d or \xe2\x80\x9cout\xe2\x80\x9d in the file name.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Attribute names in the input and output files are provided in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrlabl>\n <attrdef>Attribute definitions and descriptions in the input and output files are defined in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See the separate file, "Data Dictionary.csv"</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>NorthBranch.zip</enttypl>\n <enttypd>Zip file containing input data files, output data files, and html model run guide files for each year for which stream metabolism was estimated at the North Branch site. Year is identified with a 2-digit number (16, 17, or 18) in the filenames. Html files are in the R markdown format and contain the R code used to run the streamMetabolizer program. Input and output files are comma-delimited data files identified with the \xe2\x80\x9c.csv\xe2\x80\x9d extension and either \xe2\x80\x9cinputs\xe2\x80\x9d or \xe2\x80\x9cout\xe2\x80\x9d in the file name.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Attribute names in the input and output files are provided in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrlabl>\n <attrdef>Attribute definitions and descriptions in the input and output files are defined in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See the separate file, "Data Dictionary.csv"</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Norwalk.zip</enttypl>\n <enttypd>Zip file containing input data files, output data files, and html model run guide files for each year for which stream metabolism was estimated at the Norwalk site. Year is identified with a 2-digit number (16) in the filenames. Html files are in the R markdown format and contain the R code used to run the streamMetabolizer program. Input and output files are comma-delimited data files identified with the \xe2\x80\x9c.csv\xe2\x80\x9d extension and either \xe2\x80\x9cinputs\xe2\x80\x9d or \xe2\x80\x9cout\xe2\x80\x9d in the file name.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Attribute names in the input and output files are provided in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrlabl>\n <attrdef>Attribute definitions and descriptions in the input and output files are defined in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See the separate file, "Data Dictionary.csv"</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Pequabuck.zip</enttypl>\n <enttypd>Zip file containing input data files, output data files, and html model run guide files for each year for which stream metabolism was estimated at the Pequabuck site. Year is identified with a 2-digit number (16) in the filenames. Html files are in the R markdown format and contain the R code used to run the streamMetabolizer program. Input and output files are comma-delimited data files identified with the \xe2\x80\x9c.csv\xe2\x80\x9d extension and either \xe2\x80\x9cinputs\xe2\x80\x9d or \xe2\x80\x9coutput\xe2\x80\x9d in the file name.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Attribute names in the input and output files are provided in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrlabl>\n <attrdef>Attribute definitions and descriptions in the input and output files are defined in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See the separate file, "Data Dictionary.csv"</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Quinebaug.zip</enttypl>\n <enttypd>Zip file containing input data files, output data files, and html model run guide files for each year for which stream metabolism was estimated at the Quinebaug site. Year is identified with a 2-digit number (15, 16, or 17) in the filenames. Html files are in the R markdown format and contain the R code used to run the streamMetabolizer program. Input and output files are comma-delimited data files identified with the \xe2\x80\x9c.csv\xe2\x80\x9d extension and either \xe2\x80\x9cinputs\xe2\x80\x9d or \xe2\x80\x9coutput\xe2\x80\x9d in the file name.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Attribute names in the input and output files are provided in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrlabl>\n <attrdef>Attribute definitions and descriptions in the input and output files are defined in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See the separate file, "Data Dictionary.csv"</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Redding.zip</enttypl>\n <enttypd>Zip file containing input data files, output data files, and html model run guide files for each year for which stream metabolism was estimated at the Redding site. Year is identified with a 2-digit number (15, 16, or 17) in the filenames. Html files are in the R markdown format and contain the R code used to run the streamMetabolizer program. Input and output files are comma-delimited data files identified with the \xe2\x80\x9c.csv\xe2\x80\x9d extension and either \xe2\x80\x9cinputs\xe2\x80\x9d or \xe2\x80\x9coutput\xe2\x80\x9d in the file name.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Attribute names in the input and output files are provided in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrlabl>\n <attrdef>: Attribute definitions and descriptions in the input and output files are defined in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See the separate file, "Data Dictionary.csv"</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Salmon.zip</enttypl>\n <enttypd>Zip file containing input data files, output data files, and html model run guide files for each year for which stream metabolism was estimated at the Salmon site. Year is identified with a 2-digit number (16, 17, or 18) in the filenames. Html files are in the R markdown format and contain the R code used to run the streamMetabolizer program. Input and output files are comma-delimited data files identified with the \xe2\x80\x9c.csv\xe2\x80\x9d extension and either \xe2\x80\x9cinputs\xe2\x80\x9d or \xe2\x80\x9cout\xe2\x80\x9d in the file name.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Attribute names in the input and output files are provided in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrlabl>\n <attrdef>Attribute definitions and descriptions in the input and output files are defined in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See the separate file, "Data Dictionary.csv"</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Still.zip</enttypl>\n <enttypd>Zip file containing input data files, output data files, and html model run guide files for each year for which stream metabolism was estimated at the Still site. Year is identified with a 2-digit number (15, 16, 17, or 18) in the filenames. Html files are in the R markdown format and contain the R code used to run the streamMetabolizer program. Input and output files are comma-delimited data files identified with the \xe2\x80\x9c.csv\xe2\x80\x9d extension and either \xe2\x80\x9cinputs\xe2\x80\x9d or \xe2\x80\x9coutput\xe2\x80\x9d in the file name.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Attribute names in the input and output files are provided in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrlabl>\n <attrdef>Attribute definitions and descriptions in the input and output files are defined in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See the separate file, "Data Dictionary.csv"</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Wallingford.zip</enttypl>\n <enttypd>Zip file containing input data files, output data files, and html model run guide files for each year for which stream metabolism was estimated at the Wallingford site. Year is identified with a 2-digit number (15, 16, 17, or 18) in the filenames. Html files are in the R markdown format and contain the R code used to run the streamMetabolizer program. Input and output files are comma-delimited data files identified with the \xe2\x80\x9c.csv\xe2\x80\x9d extension and either \xe2\x80\x9cinputs\xe2\x80\x9d or \xe2\x80\x9coutput\xe2\x80\x9d in the file name.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Attribute names in the input and output files are provided in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrlabl>\n <attrdef>Attribute definitions and descriptions in the input and output files are defined in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See the separate file, "Data Dictionary.csv"</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>WestCenter.zip</enttypl>\n <enttypd>Zip file containing input data files, output data files, and html model run guide files for each year for which stream metabolism was estimated at the West Center site. Year is identified with a 2-digit number (15, 16, 17, or 18) in the filenames. Html files are in the R markdown format and contain the R code used to run the streamMetabolizer program. Input and output files are comma-delimited data files identified with the \xe2\x80\x9c.csv\xe2\x80\x9d extension and either \xe2\x80\x9cinputs\xe2\x80\x9d or \xe2\x80\x9coutput\xe2\x80\x9d in the file name.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Attribute names in the input and output files are provided in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrlabl>\n <attrdef>Attribute definitions and descriptions in the input and output files are defined in a separate file, data_column_definitions.csv. The html files do not have attributes.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>See the separate file, "Data Dictionary.csv"</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Metabolism.site.info.txt</enttypl>\n <enttypd>txt file containing site information</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>SITE_NO</attrlabl>\n <attrdef>Site identifier, consisting of the USGS National Water Information System (NWIS) site ID. Station numbers have leading zeros that must be retained.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Site identifier, consisting of the USGS National Water Information System (NWIS) site ID. Station numbers have leading zeros that must be retained.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>STATION_NM</attrlabl>\n <attrdef>Station name, as represented in the USGS National Water Information System (NWIS)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Identifies the stream and location of USGS sites</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DEC _LAT</attrlabl>\n <attrdef>Latitude, in degrees-minute-seconds</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>41\xc2\xb009\'49.56"</rdommin>\n <rdommax>42\xc2\xb001\'20"</rdommax>\n <attrunit>degrees-minute-seconds</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DEC_LONG</attrlabl>\n <attrdef>Longitude, in degrees-minute-seconds</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-71\xc2\xb054\'01.85"</rdommin>\n <rdommax>-73\xc2\xb025\'10.36"</rdommax>\n <attrunit>degrees-minute-seconds</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Data Dictionary.csv</enttypl>\n <enttypd>Explains the column names in the input and output files produced from the streamMetabolizer</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>File_type_containing_column</attrlabl>\n <attrdef>Identifies whether the column is in the input or output data files</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>"Input" and "Output"</edomv>\n <edomvd>Defines that the column is in the input data files or output data files</edomvd>\n <edomvds>Producer Defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Column_name</attrlabl>\n <attrdef>Names of columns in the input and output files.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Lists each input and output produced from the stream metabolizer.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Column_description</attrlabl>\n <attrdef>Describes each of the input and outputs produced from the stream metabolizer</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Description of what each input and output file contains.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Data_source</attrlabl>\n <attrdef>Explains how each of the input and output values is obtained. Each value is either retrieved from USGS National Water Information System database or calculated using the streamMetabolizer R package</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Describes the different sources for obtaining input and output values. Values either retrieved from USGS National Water Information System database or calculated using the streamMetabolizer R package</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Data_type</attrlabl>\n <attrdef>Indicates that the primary data set in the column is Numeric or contains a Date</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>"Numeric" or "Date"</edomv>\n <edomvd>Indicates that the primary data set in the column is Numeric or contains a Date</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Missing value indicator</attrlabl>\n <attrdef>Column to identify whether or not this field may have missing values from the stream metabolizer</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA or blank</edomv>\n <edomvd>Defining NA as not available due to missing data. Data-type that contains dates will contain "--" to indicate missing data. Blank indicates the field has no missing values.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Units</attrlabl>\n <attrdef>Identifies the units for each input and output produced from the stream metabolizer</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Units for each value that is contained in the input and output files.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>[email protected]</enttypl>\n <enttypd>Excel file that contains continuous gage height data from Pequabuck to calculate depth, an input variable required for the stream metabolizer.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>dateTime</attrlabl>\n <attrdef>Identifies date and time</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Identifies the date and time for each gage height value</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Provides gage height value, units are feet</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.07</rdommin>\n <rdommax>4.99</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>BDL.xlsx</enttypl>\n <enttypd>Excel file that contains hourly barometric pressure data at Bradley Airport, 2015-2016</enttypd>\n <enttypds>Northeast Regional Climate Center, New York.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>mm/dd/yyyy</attrlabl>\n <attrdef>Date of the barometric pressure measurement</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1/1/2015</rdommin>\n <rdommax>12/31/2016</rdommax>\n <attrunit>Units of date</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>hour</attrlabl>\n <attrdef>Hour of the barometric pressure measurement</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>23</rdommax>\n <attrunit>Units of hour</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stat Pres</attrlabl>\n <attrdef>A numeric identifier for the barometric pressure in units of inch of mercury. This column is not used in the stream metabolizer but kept to avoid changing the format and causing issues with the R code.</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>28.92</rdommin>\n <rdommax>30.61</rdommax>\n <attrunit>Inch of Mercury</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>Not available due to missing data. Files that contains dates and hour will contain "-" to indicate missing data.</edomvd>\n <edomvds>Northeast Regional Climate Center, New York.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stat Pres</attrlabl>\n <attrdef>A numeric identifier for the barometric pressure in units of millibars. This column is used to calculate dissolved oxygen percent saturation which is a required input variable for the stream metabolizer.</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>979.34</rdommin>\n <rdommax>1036.57</rdommax>\n <attrunit>Millibars</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>Not available due to missing data. Files that contains dates and hour will contain "-" to indicate missing data.</edomvd>\n <edomvds>Northeast Regional Climate Center, New York.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>BDL_2017_18.xlsx</enttypl>\n <enttypd>Excel file that contains hourly barometric pressure data at Bradley Airport, 2017-2018</enttypd>\n <enttypds>Northeast Regional Climate Center, New York.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>mm/dd/yyyy</attrlabl>\n <attrdef>Date of the barometric pressure measurement</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1/1/2017</rdommin>\n <rdommax>12/31/2018</rdommax>\n <attrunit>Units of date</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>hour</attrlabl>\n <attrdef>Hour of the barometric pressure measurement</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>23</rdommax>\n <attrunit>Units of hour</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stat Pres</attrlabl>\n <attrdef>A numeric identifier for the barometric pressure in units of inch of mercury. This column is not used in the stream metabolizer but kept to avoid changing the format and causing issues with the R code.</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>28.78</rdommin>\n <rdommax>30.62</rdommax>\n <attrunit>Inch of Mercury</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>Not available due to missing data. Files that contains dates and hour will contain "-" to indicate missing data.</edomvd>\n <edomvds>Northeast Regional Climate Center, New York.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stat Pres</attrlabl>\n <attrdef>A numeric identifier for the barometric pressure in units of millibars. This column is used to calculate dissolve oxygen percent saturation which is a required input variable for the stream metabolizer.</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>974.6</rdommin>\n <rdommax>1036.91</rdommax>\n <attrunit>Millibars</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>Not available due to missing data. Files that contains dates and hour will contain "-" to indicate missing data.</edomvd>\n <edomvds>Northeast Regional Climate Center, New York.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>BDR.xlsx</enttypl>\n <enttypd>Excel file that contains hourly barometric pressure data at Bridgeport Airport, 2015-2016</enttypd>\n <enttypds>Northeast Regional Climate Center, New York.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>mm/dd/yyyy</attrlabl>\n <attrdef>Date of the barometric pressure measurement</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1/1/2015</rdommin>\n <rdommax>12/31/2016</rdommax>\n <attrunit>Units of date</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>hour</attrlabl>\n <attrdef>Hour of the barometric pressure measurement</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>23</rdommax>\n <attrunit>Units of hour</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stat Pres</attrlabl>\n <attrdef>A numeric identifier for the barometric pressure in units of inch of mercury. This column is not used in the stream metabolizer but kept to avoid changing the format and causing issues with the R code.</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>29.17</rdommin>\n <rdommax>30.81</rdommax>\n <attrunit>Inch of Mercury</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>Not available due to missing data. Files that contains dates and hour will contain "-" to indicate no missing data.</edomvd>\n <edomvds>Northeast Regional Climate Center, New York.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stat Pres</attrlabl>\n <attrdef>A numeric identifier for the barometric pressure in units of millibars. This column is used to calculate dissolve oxygen percent saturation which is a required input variable for the stream metabolizer.</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>987.81</rdommin>\n <rdommax>1043.35</rdommax>\n <attrunit>Millibars</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>Not available due to missing data. Files that contains dates and hour will contain "-" to indicate missing data.</edomvd>\n <edomvds>Northeast Regional Climate Center, New York.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>HVN.xlsx</enttypl>\n <enttypd>Excel file that contains hourly barometric pressure data at New Haven Airport, 2015-2016</enttypd>\n <enttypds>Northeast Regional Climate Center, New York.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>mm/dd/yyyy</attrlabl>\n <attrdef>Date of the barometric pressure measurement</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1/1/2015</rdommin>\n <rdommax>12/31/2016</rdommax>\n <attrunit>Units of date</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>hour</attrlabl>\n <attrdef>Hour of the barometric pressure measurement</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>23</rdommax>\n <attrunit>Units of hour</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stat Pres</attrlabl>\n <attrdef>A numeric identifier for the barometric pressure in units of inch of mercury. This column is not used in the stream metabolizer but kept to avoid changing the format and causing issues with the R code.</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>29.17</rdommin>\n <rdommax>30.82</rdommax>\n <attrunit>Inch of Mercury</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>Not available due to missing data. Files that contains dates and hour will contain "-" to indicate missing data.</edomvd>\n <edomvds>Northeast Regional Climate Center, New York.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stat Pres</attrlabl>\n <attrdef>A numeric identifier for the barometric pressure in units of millibars. This column is used to calculate dissolve oxygen percent saturation which is a required input variable for the stream metabolizer.</attrdef>\n <attrdefs>Northeast Regional Climate Center, New York.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>987.81</rdommin>\n <rdommax>1043.68</rdommax>\n <attrunit>Millibars</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-</edomv>\n <edomvd>Not available due to missing data. Files that contains dates and hour will contain "-" to indicate missing data.</edomvd>\n <edomvds>Northeast Regional Climate Center, New York.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>This dataset contains the model inputs, outputs and html guides to run streamMetabolizer on sites from the Dissolved Oxygen study in Connecticut, 2015-2018. There are 33 input, 33 output, and 33 html files for each. The input files contain required variables for the stream metabolizer, the output files contain the stream metabolism estimates, and the HTML files contain R Markdown code used to run streamMetabolizer in R program. There are four tables of barometric pressure data from the New, Haven, Bradley, and Bridgeport airports. There is one table of gage height from pressure sensor for Pequabuck. There is one table containing site information. There is a data dictionary file called "Data Dictionary" that defines the columns in each input and output file.</eaover>\n <eadetcit>This data release can be found on ScienceBase at: https://doi.org/10.5066/P9HW6IP1</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data have been processed successfully and a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>ZIP</formname>\n <formvern>None</formvern>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9HW6IP1</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20210331</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Brittney Izbicki</cntper>\n <cntorg>Northeast Region: NEW ENGLAND WSC CT OFC</cntorg>\n </cntperp>\n <cntpos>Hydrologic Technician</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>101 Pitkin Street</address>\n <city>East Hartford</city>\n <state>CT</state>\n <postal>06108</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>860-291-6776</cntvoice>\n <cntfax>253-552-1581</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2018-11-14Time Period2018
## Citation
Kuntz, M.A., Champion, D.E., Turrin, B.R., Gaus, P.B., Covington, H.R., and Van Sistine, D.P., 2018, Data Release for Geologic Map of the north half of the Lake Walcott 30' x 60' Quadrangle, Idaho: U.S. Geological Survey data release, https://doi.org/10.5066/F7VQ30VZ.
## Summary
The northern half of the Lake Walcott 30 x 60 minute quadrangle shows the geology of the southern part of the Craters of the Moon lava field, the complex geologic features of the Holocene Kings Bowl and Wapi lava fields, and the southern part of the Great Rift volcanic rift zone. The long extent and distribution of skylights in lava-tube systems of the Horse Butte and Wapi Park lava fields are depicted on this map. 40Ar/39Ar and K/Ar age determinations give detail to the Holocene, late Pleistocene, and late middle Pleistocene volcanic for lava fields in this quadrangle. Most of the younger basalt eruptions (<150 ka) have occurred along the Great Rift volcanic rift zone, but two of the younger lava fields are located in the western \[...\]
## Summary
The northern half of the Lake Walcott 30 x 60 minute quadrangle shows the geology of the southern part of the Craters of the Moon lava field, the complex geologic features of the Holocene Kings Bowl and Wapi lava fields, and the southern part of the Great Rift volcanic rift zone. The long extent and distribution of skylights in lava-tube systems of the Horse Butte and Wapi Park lava fields are depicted on this map. 40Ar/39Ar and K/Ar age determinations give detail to the Holocene, late Pleistocene, and late middle Pleistocene volcanic for lava fields in this quadrangle. Most of the younger basalt eruptions (<150 ka) have occurred along the Great Rift volcanic rift zone, but two of the younger lava fields are located in the western part of the quadrangle. Kimama Butte, a shield volcano, is 87 +/- 11 ka and Shale Butte is dated at 11 +/- 6 ka. Paleomagnetic studies have shown that the Horse Butte-Inferno Chasm eruptive fissure system has at least 5 paleomagnetic-correlative lava fields, the Claasen vent complex consists of at least 7 correlative lava fields, and the Streifling-Flat Top vent complex includes at least 4 correlative lava fields.
## Contacts
Point of Contact
:
[Mel A Kuntz](/catalog/catalogParty/show?partyId=Mel+A+Kuntz)
Originator
:
[Mel A Kuntz](/catalog/catalogParty/show?partyId=5745),
[Duane E Champion](/catalog/catalogParty/show?partyId=1696),
[Brent R Turrin](/catalog/catalogParty/show?partyId=Brent+R+Turrin),
[Philip B Gaus](/catalog/catalogParty/show?partyId=Philip+B+Gaus),
[Harry R Covington](/catalog/catalogParty/show?partyId=Harry+R+Covington),
[Darren (Paco) Van Sistine](/catalog/catalogParty/show?partyId=10667)
Metadata Contact
:
[Darren (Paco) Van Sistine](/catalog/catalogParty/show?partyId=10667)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Core Science Systems](/catalog/catalogParty/show?partyId=Core+Science+Systems)
SDC Data Owner
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[Geosciences and Environmental Change Science Center](/catalog/catalogParty/show?partyId=17387)
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## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Kuntz, M.A., Champion, D.E., Turrin, B.R., Gans, P.B., Covington, H.R., and VanSistine, D.P., 2018, Geologic map of the north half of the Lake Walcott 30'×60' quadrangle, Idaho: U.S. Geological Survey Scientific Investigations Report 3405, pamphlet 25 p., scale 1:100,000, https://doi.org/10.3133/sim3405. | [https://doi.org/10.3133/sim3405](https://doi.org/10.3133/sim3405 "https://doi.org/10.3133/sim3405") |
## Purpose
This map provides geologic, geochronologic, and paleomagnetic data for Holocene lava fields along the southern part of the Great Rift and for late Pleistocene and late middle Pleistocene lava fields in the central and western parts of the quadrangle. These data will contribute to wise management and preservation of the Craters of the Moon National Monument and for broad-scale understanding of the basaltic-volcanic evolution of the eastern Snake River Plain.
## [Map](/catalog/item/imap/58ac93f9e4b0ce4410e7d7fb)
[](/catalog/item/imap/58ac93f9e4b0ce4410e7d7fb)
## Communities
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## Tags
Theme
- [Basaltic lava fields](/catalog/items?q=&filter=tags%3DBasaltic+lava+fields "Basaltic lava fields (Basaltic lava fields, Theme, AGI Glossary of Geology)")
- [Basaltic volcanism](/catalog/items?q=&filter=tags%3DBasaltic+volcanism "Basaltic volcanism (Basaltic volcanism, Theme, AGI Glossary of Geology)")
Place
- [Snake River Plain](/catalog/items?q=&filter=tags%3DSnake+River+Plain "Snake River Plain (Snake River Plain, Place, U.S. Board on Geographic Names (BGN))")
- [Southern part of the Great Rift volcanic rift zone](/catalog/items?q=&filter=tags%3DSouthern+part+of+the+Great+Rift+volcanic+rift+zone "Southern part of the Great Rift volcanic rift zone (Southern part of the Great Rift volcanic rift zone, Place, U.S. Board on Geographic Names (BGN))")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
USGS Scientific Topic Keyword
- [Structural Geology](/catalog/items?q=&filter=tags%3DStructural+Geology "Structural Geology (Structural Geology, USGS Scientific Topic Keyword, )")
- [Volcanology](/catalog/items?q=&filter=tags%3DVolcanology "Volcanology (Volcanology, USGS Scientific Topic Keyword, )")
## Provenance
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## Additional Information
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| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7VQ30VZ |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Mel A. Kuntz</origin>\n <origin>Duane E. Champion</origin>\n <origin>Brent R. Turrin</origin>\n <origin>Philip B. Gaus</origin>\n <origin>Harry R. Covington</origin>\n <origin>D.P. VanSistine</origin>\n <pubdate>2018</pubdate>\n <title>Data Release for Geologic Map of the north half of the Lake Walcott 30' x 60' Quadrangle, Idaho</title>\n <edition>version 1.0</edition>\n <geoform>GeoDatabase</geoform>\n <pubinfo>\n <pubplace>Denver, Colorado</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7VQ30VZ</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Mel A. Kuntz</origin>\n <origin>Duane E. Champion</origin>\n <origin>Brent R. Turrin</origin>\n <origin>Philip B. Gaus</origin>\n <pubdate>2018</pubdate>\n <title>Geologic Map of the north half of the Lake Walcott 30' x 60' Quadrangle, Idaho</title>\n <edition>1.0</edition>\n <geoform>map</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Scientific Investigations Map</sername>\n <issue>SIM 3405</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/sim3405</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The northern half of the Lake Walcott 30 x 60 minute quadrangle shows the geology of the southern part of the Craters of the Moon lava field, the complex geologic features of the Holocene Kings Bowl and Wapi lava fields, and the southern part of the Great Rift volcanic rift zone. The long extent and distribution of skylights in lava-tube systems of the Horse Butte and Wapi Park lava fields are depicted on this map. 40Ar/39Ar and K/Ar age determinations give detail to the Holocene, late Pleistocene, and late middle Pleistocene volcanic for lava fields in this quadrangle. Most of the younger basalt eruptions (<150 ka) have occurred along the Great Rift volcanic rift zone, but two of the younger lava fields are located in the western part of the quadrangle. Kimama Butte, a shield volcano, is 87 +/- 11 ka and Shale Butte is dated at 11 +/- 6 ka. Paleomagnetic studies have shown that the Horse Butte-Inferno Chasm eruptive fissure system has at least 5 paleomagnetic-correlative lava fields, the Claasen vent complex consists of at least 7 correlative lava fields, and the Streifling-Flat Top vent complex includes at least 4 correlative lava fields.</abstract>\n <purpose>This map provides geologic, geochronologic, and paleomagnetic data for Holocene lava fields along the southern part of the Great Rift and for late Pleistocene and late middle Pleistocene lava fields in the central and western parts of the quadrangle. These data will contribute to wise management and preservation of the Craters of the Moon National Monument and for broad-scale understanding of the basaltic-volcanic evolution of the eastern Snake River Plain.</purpose>\n <supplinf>Compilation scale: 1:100,000\n\nDATASETS INCLUDED IN THIS GEOSPATIAL DATABASE:\nGeology Feature Dataset:\n\nlakewalcott_n_poly - geologic unit polygons\nlakewalcott_n_line - geologic line features(contacts, fissures, etc)\nlakewalcott_n_misc_pts - geologic point features(vents and cones)\nlakewalcott_n_sample_pts - sample locations\nlakewalcott_n_flowline - paleo-flow direction\nlakewalcott_n_label - geologic unit polygon labels</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>2018</caldate>\n </sngdate>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-114.0</westbc>\n <eastbc>-113.0</eastbc>\n <northbc>43.0</northbc>\n <southbc>42.75</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>AGI Glossary of Geology</themekt>\n <themekey>Basaltic volcanism</themekey>\n <themekey>Basaltic lava fields</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:58ac93f9e4b0ce4410e7d7fb</themekey>\n </theme>\n <place>\n <placekt>U.S. Board on Geographic Names (BGN)</placekt>\n <placekey>Snake River Plain</placekey>\n <placekey>Southern part of the Great Rift volcanic rift zone</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>Users of this geospatial database and geologic information derived there from should acknowledge the U.S. Geological Survey as the source of the data.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Mel A. Kuntz</cntper>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>USGS, MS 980, Box 25046, Denver Federal Center</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n </cntaddr>\n <cntvoice>303-236-1293</cntvoice>\n <cntfax>303-236-5349</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Paco Van Sistine and Carl Rich, U.S. Geological Survey, served as primary authors of the GIS database</datacred>\n <native>Microsoft Windows 7 Enterprise - ArcCatalog Version 10.2.2</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Attributes were entered digitally and checked by GIS technician. Authors and USGS map editors performed separate reviews.</attraccr>\n </attracc>\n <logic>Map elements were visually checked for overshoots, undershoots, duplicate features, polygon closure, and other errors by the author and by the GIS technician(s) that created the digital database. Automated routines were also used to check the databases for polygon label errors, line or point attribution errors, sliver polygons, dangling arcs, intersection errors, and projection information. Check plots of the map were reviewed by at least two other geologists for consistency with basic geologic principles and general conformity to USGS mapping standards.</logic>\n <complete>Data are complete: no features that could be accurately represented at the compilation scale were eliminated or generalized. All geospatial database elements are attributed.</complete>\n <posacc>\n <horizpa>\n <horizpar>Field map[ping was accomplished with 7 1/2-minute topographic maps and aerial photographs. Compilation of the geology was performed with a PG-2 stereo plotter.</horizpar>\n </horizpa>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Field work for this study took place, intermittently, from 1975 to 2010, and involved studies by university researchers (Prinz, King, Greeley, Gans), graduate students (Womer), and USGS geologists (Covington, Kuntz, Champion). Field map[ping was accomplished with 7 1/2-minute topographic maps and aerial photographs. Compilation of the geology was performed with a PG-2 stereo plotter</procdesc>\n <procdate>1975</procdate>\n </procstep>\n <procstep>\n <procdesc>Linework was digitized from PG-2 greenline</procdesc>\n <procdate>2013</procdate>\n </procstep>\n <procstep>\n <procdesc>Draft check plots of the geologic map and explanation were created and submitted for peer review. Geologists reviewed the plots for conformity with U.S. Geological Survey editorial standards and stratigraphic nomenclature. Revisions were made to the geospatial database as needed.</procdesc>\n <procdate>2014</procdate>\n </procstep>\n <procstep>\n <procdesc>Metadata created by Paco VanSistine</procdesc>\n <procdate>2015</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spref>\n <horizsys>\n <planar>\n <gridsys>\n <gridsysn>Universal Transverse Mercator</gridsysn>\n <utm>\n <utmzone>12</utmzone>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-111.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000.0</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </utm>\n </gridsys>\n <planci>\n <plance>Coordinate Pair</plance>\n <coordrep>\n <absres>1.0</absres>\n <ordres>1.0</ordres>\n </coordrep>\n <plandu>Meters</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>North American Datum of 1927</horizdn>\n <ellips>Clarke 1866</ellips>\n <semiaxis>6378206.4</semiaxis>\n <denflat>294.98</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <overview>\n <eaover>DATASETS INCLUDED IN THIS GEOSPATIAL DATABASE:\nGeology Feature Dataset:\n\nlakewalcott_n_poly - geologic unit polygons\nlakewalcott_n_line - geologic line features(contacts and faults)\nlakewalcott_n_misc_pts - geologic point features(vents and cones)\nlakewalcott_n_sample_pts - sample locations\nlakewalcott_n_flowline - paleo-flow direction\nlakewalcott_n_label - geologic unit polygon labels\n\nLAKEWALCOTT_N_POLY\n\nUNIT\tDESCRIPTION\tAGE\nQcfb4\tDistal pahoehoe basalt lava flows of the Minidoka lava field\tHolocene\nQcfb5\tDistal pahoehoe basalt lava flows of the Larkspur Park lava field\tHolocene\nQcfe2\tDistal pahoehoe and a'a basalt lava flows of the Laidlaw Lake lava field\tHolocene\nQcfh1\tDistal pahoehoe basalt lava flows of the Kimama lava field\tlate Pleistocene\nQes\tEolian sand\tHolocene to early middle Pleistocene\nQp\tPlaya deposits\tHolocene to early middle Pleistocene\nQsbb14\tBasaltic medial and distal pahoehoe lava flows of the Black Ridge Crater lava field\tlate Pleistocene\nQsbb24\tBasaltic pahoehoe lava flows and minor near-vent pyroclastic deposits of the Vent 5094 lava field\tlate Pleistocene\nQsbb25\tBasaltic pahoehoe lava flows and near-vent pyroclastic deposits of the Horse Butte lava field\tlate Pleistocene\nQsbb34\tBasaltic near-vent pyroclastic deposits and medial and distal pahoehoe lava flows of the Vent 5329 lava field\tlate Pleistocene\nQsbb5\tDistal basaltic pahoehoe flows of Broken Top lava field\tlate Pleistocene\nQsbb6\tDistal pahoehoe basaltic lava flows of the Sand Butte lava field\tlate Pleistocene\nQsbb8\tBasaltic pahoehoe lava flows and near-vent pyroclastic deposits of West Wildhorse Butte lava field\tlate Pleistocene\nQsbc22\tBasaltic pahoehoe flows of Vent 4645 lava field\tlate middle Pleistocene\nQsbc52\tDistal pahoehoe flows of the Mosby Butte lava field\tlate middle Pleistocene\nQsbc53\tDistal basaltic pahoehoe flows of Vent 5083 lava field\tlate middle Pleistocene\nQsbc59\tBasaltic, near-vent pyroclastic and proximal, medial, and distal pahoehoe lava flows of the Streifling lava field\tlate middle Pleistocene\nQsbc60\tBasaltic, near-vent pyroclastic and proximal, medial, and distal pahoehoe lava flows of the Vent 5270 lava field\tlate middle Pleistocene\nQwfa1\tSurface- and fountain-fed, proximal, medial, and distal basaltic pahoehoe lava flows of the Kings Bowl lava field\tHolocene\nQwfa2\tProximal, medial, and distal, chiefly tube-fed, basaltic pahoehoe lava flows and near-vent deposits of the Wapi lava field\tHolocene\nQwfb1\tNear-vent pyroclastic deposits and proximal, medial, and distal pahoehoe and a'a basaltic lava flows of the Shale Butte lava field\tlate Pleistocene\nQwfb10\tBasaltic near-vent pyroclastic deposits and proximal pahoehoe lava flows of the Vent 4569 lava field\tlate Pleistocene\nQwfb12\tBasaltic pahoehoe lava flows and near-vent deposits of the Inferno Chasm lava field\tlate Pleistocene\nQwfb13\tBasaltic pahoehoe lava flows and near-vent pyroclastic deposits of the East Inferno Chasm lava field\tlate Pleistocene\nQwfb14\tNear-vent pyroclastic deposits and proximal pahoehoe lava flows of the Cottrells Blowout lava field\tlate Pleistocene\nQwfb15\tBasaltic, near-vent and proximal, medial, and distal pahoehoe lava flows of the Wapi Park lava field\tlate Pleistocene\nQwfb16\tNear-vent, basaltic pyroclastic deposits of the Vent 4901 lava field\tlate Pleistocene\nQwfb17\tBasaltic near-vent pyroclastic deposits and pahoehoe lava flows of the Kimama Butte lava field\tlate Pleistocene\nQwfb18\tBasaltic near-vent deposits of the Rattlesnake Butte lava field\tlate Pleistocene\nQwfb19\tBasaltic near-vent deposits and proximal pahoehoe lava flows of Vent 4645 lava field\tlate Pleistocene\nQwfb2\tNear-vent, basaltic pahoehoe lava flows of the Vent 4319 lava field\tlate Pleistocene\nQwfb20\tNear-vent pyroclastic deposits and pahoehoe lava flows of Vent 4757 lava field\tlate Pleistocene\nQwfb3\tPahoehoe basaltic lava flows of the Grandview Crater lava field\tlate Pleistocene\nQwfb4\tBasaltic, near-vent, pyroclastic deposits and proximal and medial pahoehoe lava flows of Claasen lava field\tlate Pleistocene\nQwfb5\tBasaltic pahoehoe lava flows of the Winters Blowout lava field\tlate Pleistocene\nQwfb6\tBasaltic pahoehoe lava flows and near-vent pyroclastic deposits of Vent 4829 lava field\tlate Pleistocene\nQwfb7\tBasaltic near-vent pyroclastic deposits and medial and distal pahoehoe lava flows of the Vent 4801 lava field\tlate Pleistocene\nQwfb8\tBasaltic near-vent pyroclastic deposits and medial and distal pahoehoe lava flows of the Vent 4862 lava field\tlate Pleistocene\nQwfb9\tBasaltic near-vent pyroclastic deposits and medial and distal pahoehoe lava flows of the Vent 4835 lava field\tlate Pleistocene\nQwfc1\tNear-vent pyroclastic deposits and distal pahoehoe lava flows of the Split Butte lava field\tlate middle Pleistocene\nQwfc10\tBasaltic, near-vent pyroclastic and proximal, medial, and distal pahoehoe lava flows of the Vent 4644 lava field\tlate middle Pleistocene\nQwfc11\tBasaltic, near-vent pyroclastic deposits and proximal, medial, and distal pahoehoe lava flows of the Vent 4539 lava field\tlate middle Pleistocene\nQwfc12\tBasaltic, near-vent pyroclastic deposits of Vent 4811 lava field\tlate middle Pleistocene\nQwfc13\tBasaltic near-vent pyroclastic deposits of vent 4354 lava field\tlate middle and early middle Pleistocene\nQwfc14\tBasaltic near-vent pyroclastic deposits of vent 4384 lava field\tlate middle and early middle Pleistocene\nQwfc2\tBasaltic, distal pahoehoe flows\tlate middle Pleistocene\nQwfc3\tBasaltic, near-vent pyroclastic deposits and proximal and medial pahoehoe lava flows of the Higgins Blowout lava field\tlate middle Pleistocene\nQwfc4\tBasaltic, near-vent pyroclastic and proximal, medial, and distal pahoehoe flows of the Flat Top lava field\tlate middle Pleistocene\nQwfc5\tBasaltic, near-vent pyroclastic and proximal, medial, and distal pahoehoe lava flows of the Vent 5026 lava field\tlate middle Pleistocene\nQwfc6\tBasaltic, near-vent pyroclastic and proximal, medial, and distal pahoehoe lava flows of the Vent 4822 lava field\tlate middle Pleistocene\nQwfc7\tBasaltic, near-vent pyroclastic and proximal, medial, and distal pahoehoe lava flows of the Vent 4753 lava field\tlate middle Pleistocene\nQwfc8\tBasaltic, near-vent pyroclastic and proximal, medial, and distal pahoehoe lava flows of the Vent 4754 lava field\tlate middle Pleistocene\nQwfc9\tBasaltic, near-vent pyroclastic and proximal, medial, and distal pahoehoe lava flows of the Vent 4705 lava field\tlate middle Pleistocene\nQwfd1\tBasaltic near-vent pyroclastic deposits, proximal, medial and distal pahoehoe lava flows of Adelaide Butte lava field\tearly middle Pleistocene\nQwfd2\tBasaltic proximal, medial and distal pahoehoe lava flows of vent 4659 lava field\tearly middle Pleistocene\nQwfd3\tBasaltic proximal, medial and distal pahoehoe lava flows of vent 4640 lava field\tearly middle Pleistocene\nQwfd4\tBasaltic near-vent pyroclastic deposits and proximal pahoehoe lava flows of The Crater lava field\tearly middle Pleistocene\nQwfd5\tBasaltic near-vent pyroclastic deposits and proximal pahoehoe lava flows of the Vent 4401 lava field\tearly middle Pleistocene\nQwfd6\tNear-vent pyroclastic deposits and proximal and medial pahoehoe lava flows of the Vent 4429 lava field\tearly middle Pleistocene\nQwfd7\tBasaltic near-vent pyroclastic deposits and proximal pahoehoe lava flows of vent 4371 lava field\tearly middle Pleistocene\nQwfd8\tBasaltic near-vent pyroclastic deposits and proximal and medial pahoehoe lava flows of vent 4267 lava field\tearly middle Pleistocene\nQwfd9\tBasaltic, near-vent pyroclastic and proximal and medial pahoehoe lava flows of the Knoll Vent lava field\tearly middle Pleistocene\nQwfe1\tNear-vent pyroclastic deposits and proximal, medial, and distal pahoehoe lava flows of the Sid Butte lava field\tearly Pleistocene\nQwfe2\tNear-vent pyroclastic deposits and proximal pahoehoe lava flows of the Vent 4559 lava field\tearly Pleistocene\nQwfe3\tNear-vent pyroclastic deposits and proximal pahoehoe lava flows of the Vent 4373 lava field\tearly Pleistocene\nQwfe4\tProximal pahoehoe lava flows of the Vent 4373 lava field\tearly Pleistocene\n\nLAKEWALCOTT_N_LINE\n\nDESCRIPTION ACCURACY\nContact\tCertain\nContact separating individual lava flows within the same map unit \tApproximately located\nCrater\tCertain\nEruptive fissure\tCertain\nLava channel-narrow\tCertain\nLava channel-wide\tCertain\nLava pond\tCertain\nMap boundary\nNon-eruptive fissure\tCertain\nSkylight\tCertain\n\nLAKEWALCOTT_N_MISC_PTS\n\nDESCRIPTION\nRootless vent\nSmall cone\n\nLAKEWALCOTT_N_SAMPLE_PTS\n\nDESCRIPTION\nPaleomag sample\nAr/Ar sample\n\nINCLINATION\n0-90 degrees\n\nDECLINATION\n0-359 degrees\n\nAGE\nAr/Ar samples only</eaover>\n <eadetcit>none</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - Science Base</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>Colorado</state>\n <postal>80225-0046</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <resdesc>Data Release</resdesc>\n <distliab>Any use of trade, product or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Geological Survey.\n\nAlthough this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items for other than personal use must be secured from the copyright owner.\n\nThis database has been approved for release and publication by the Director of the USGS. Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the United States Government may be held liable for any damages resulting from its authorized or unauthorized use.\n\nAlthough these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>GEODATABASE, SHAPEFILE</formname>\n <formvern>10.2.2</formvern>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7VQ30VZ</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200820</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Paco VanSistine</cntper>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center</address>\n <address>MailStop 980</address>\n <city>Denver</city>\n <state>Colorado</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>303-236-5452</cntvoice>\n <cntfax>303-236-5349</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <metac>none</metac>\n <metuc>none</metuc>\n </metainfo>\n</metadata>" |
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## Dates
Publication Date2018-12-12Start Date2001End Date2018
## Citation
Sohl, T.L., 2018, The Relative Impacts of Climate and Land-use Change on Conterminous United States Bird Species from 2001 to 2075: U.S. Geological Survey data release, https://doi.org/10.5066/P9PTJ0PO.
## Summary
Species distribution models often use climate data to assess contemporary and/or future ranges for animal or plant species. Land use and land cover (LULC) data are important predictor variables for determining species range, yet are rarely used when modeling future distributions. In this study, maximum entropy modeling was used to construct species distribution maps for 50 North American bird species to determine relative contributions of climate and LULC for contemporary (2001) and future (2075) time periods. Results indicate species-specific response to climate and LULC variables; however, both climate and LULC variables clearly are important for modeling both contemporary and potential future species ranges. This data release provides \[...\]
## Summary
Species distribution models often use climate data to assess contemporary and/or future ranges for animal or plant species. Land use and land cover (LULC) data are important predictor variables for determining species range, yet are rarely used when modeling future distributions. In this study, maximum entropy modeling was used to construct species distribution maps for 50 North American bird species to determine relative contributions of climate and LULC for contemporary (2001) and future (2075) time periods. Results indicate species-specific response to climate and LULC variables; however, both climate and LULC variables clearly are important for modeling both contemporary and potential future species ranges. This data release provides summary data for each of the 50 species. Four types of files are included in a ZIP file distributed for each species, including 1) GeoTIFF files that represent species distributions for 2001 and 2075 (including model runs with and without climate or land use), 2) PDF files summarizing MaxENT model runs for 2001, demonstrating sensitivity of the models to climate and land use, 3) lambda values for each model run that contain variables used in that run and constants that can be used to compute values for the fitted model, and 4) a JPG file depicting a summary map of modeled species range in 2001, and panel maps depicting changes in species probability as land use and/or climate change by 2075. A summary Excel spreadsheet summarizes and compares results across the 50 species.
## Contacts
Point of Contact
:
[Terry L Sohl](/catalog/catalogParty/show?partyId=9712),
[United States Geological Survey - Earth Resources Observation and Science (EROS) Center](/catalog/catalogParty/show?partyId=United+States+Geological+Survey+-+Earth+Resources+Observation+and+Science+%28EROS%29+Center)
Process Contact
:
[Terry L Sohl](/catalog/catalogParty/show?partyId=9712),
[CLIMATE & LAND-USE: SCIENCE TEAM 2](/catalog/catalogParty/show?partyId=CLIMATE+%26+LAND-USE%3A+SCIENCE+TEAM+2)
Originator
:
[Terry L Sohl](/catalog/catalogParty/show?partyId=9712)
Metadata Contact
:
[Terry L Sohl](/catalog/catalogParty/show?partyId=9712),
[U.S. Geological Survey - Earth Resources Observation and Science (EROS) Center](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey+-+Earth+Resources+Observation+and+Science+%28EROS%29+Center)
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:
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SDC Data Owner
:
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USGS Mission Area
:
[Land Resources](/catalog/catalogParty/show?partyId=Land+Resources)
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| | | | |
| --- | --- | --- | --- |
| Metadata.xml<br>“Metadata (XML format)”<br>_Original FGDC Metadata_ | View | 28.32 KB | application/fgdc+xml |
| Bairds\_Sparrow\_Data.zip<br>“Baird's Sparrow Results” | | 116.16 MB | application/zip |
| Cactus\_Wren\_Data.zip<br>“Cactus Wren Results” | | 329.61 MB | application/zip |
| Annas\_Hummingbird\_Data.zip<br>“Anna's Hummingbird Results” | | 397.88 MB | application/zip |
| Band\_Tailed\_Pigeon\_Data.zip<br>“Band-tailed Pigeon Results” | | 521.37 MB | application/zip |
| Bobolink\_Data.zip<br>“Bobolink Results” | | 660.62 MB | application/zip |
| Black\_Capped\_Chickadee\_Data.zip<br>“Black-capped Chickadee Results” | | 758.14 MB | application/zip |
| Brown\_Thrasher\_Data.zip<br>“Brown Thrasher Results” | | 834.94 MB | application/zip |
| American\_Goldfinch\_Data.zip<br>“American Goldfinch Results” | | 999.01 MB | application/zip |
| Brown\_Headed\_Cowbird\_Data.zip<br>“Brown-headed Cowbird Results” | | 1.09 GB | application/zip |
| Blue\_Winged\_Teal\_Data.zip<br>“Blue-winged Teal Results” | | 1.12 GB | application/zip |
| Chestnut\_Collared\_Longspur\_Data.zip<br>“Chestnut-collared Longspur Results” | | 252.34 MB | application/zip |
| Gray\_Vireo\_Data.zip<br>“Gray Vireo Results” | | 338.76 MB | application/zip |
| Gambels\_Quail\_Data.zip<br>“Gambel's Quail Results” | | 361.76 MB | application/zip |
| Gray\_Partridge\_Data.zip<br>“Gray Partridge Results” | | 427.22 MB | application/zip |
| Carolina\_Wren\_Data.zip<br>“Carolina Wren Results” | | 640.83 MB | application/zip |
| Dickcissel\_Data.zip<br>“Dickcissel Results” | | 851.34 MB | application/zip |
| Eastern\_Kingbird\_Data.zip<br>“Eastern Kingbird Results” | | 1.01 GB | application/zip |
| Grasshopper\_Sparrow\_Data.zip<br>“Grasshopper Sparrow Results” | | 1,004.09 MB | application/zip |
| Downy\_Woodpecker\_Data.zip<br>“Downy Woodpecker Results” | | 1.07 GB | application/zip |
| Great\_Horned\_Owl\_Data.zip<br>“Great Horned Owl Results” | | 1.17 GB | application/zip |
| Great\_Blue\_Heron\_Data.zip<br>“Great Blue Heron Results” | | 1.1 GB | application/zip |
| Lark\_Bunting\_Data.zip<br>“Lark Bunting Results” | | 499.13 MB | application/zip |
| Hooded\_Warbler\_Data.zip<br>“Hooded Warbler Results” | | 509.3 MB | application/zip |
| Ferruginous\_Hawk\_Data.zip<br>“Ferruginous Hawk Results” | | 624.92 MB | application/zip |
| Northern\_Pintail\_Data.zip<br>“Northern Pintail Results” | | 965.72 MB | application/zip |
| Green\_Winged\_Teal\_Data.zip<br>“Green-winged Teal Results” | | 1.01 GB | application/zip |
| Northern\_Harrier\_Data.zip<br>“Northern Harrier Results” | | 1 GB | application/zip |
| Lark\_Sparrow\_Data.zip<br>“Lark Sparrow Results” | | 1.07 GB | application/zip |
| Pygmy\_Nuthatch\_Data.zip<br>“Pygmy Nuthatch Results” | | 497.59 MB | application/zip |
| Painted\_Bunting\_Data.zip<br>“Painted Bunting Results” | | 521.32 MB | application/zip |
| Red\_Headed\_Woodpecker\_Data.zip<br>“Red-headed Woodpecker Results” | | 852.82 MB | application/zip |
| Red\_Eyed\_Vireo\_Data.zip<br>“Red-eyed Vireo Results” | | 912.49 MB | application/zip |
| Pileated\_Woodpecker\_Data.zip<br>“Pileated Woodpecker Results” | | 874.52 MB | application/zip |
| Orchard\_Oriole\_Data.zip<br>“Orchard Oriole Results” | | 918.39 MB | application/zip |
| Red\_Tailed\_Hawk\_Data.zip<br>“Red-tailed Hawk Results” | | 1.07 GB | application/zip |
| Pied\_BIlled\_Grebe\_Data.zip<br>“Pied-billed Grebe Results” | | 1.14 GB | application/zip |
| Sedge\_Wren\_Data.zip<br>“Sedge Wren Results” | | 374.65 MB | application/zip |
| Sharp\_Tailed\_Grouse\_Data.zip<br>“Sharp-tailed Grouse Results” | | 392.62 MB | application/zip |
| Scissor\_Tailed\_Flycatcher\_Data.zip<br>“Scissor-tailed Flycatcher Results” | | 480.17 MB | application/zip |
| Ruby\_Throated\_Hummingbird\_Data.zip<br>“Ruby-throated Hummingbird Results” | | 629.81 MB | application/zip |
| Short\_Eared\_Owl\_Data.zip<br>“Short-eared Owl Results” | | 793.93 MB | application/zip |
| Savannah\_Sparrow\_Data.zip<br>“Savannah Sparrow Results” | | 881.95 MB | application/zip |
| Sora\_Data.zip<br>“Sora Results” | | 939.89 MB | application/zip |
| White\_Headed\_Woodpecker\_Data.zip<br>“White-headed Woodpecker Results” | | 275.67 MB | application/zip |
| Tufted\_Titmouse\_Data.zip<br>“Tufted Titmouse Results” | | 547.32 MB | application/zip |
| Western\_Tanager\_Data.zip<br>“Western Tanager Results” | | 751.13 MB | application/zip |
| Vesper\_Sparrow\_Data.zip<br>“Vesper Sparrow Results” | | 780.12 MB | application/zip |
| Yellow\_Headed\_Blackbird\_Data.zip<br>“Yellow-headed Blackbird Results” | | 919.17 MB | application/zip |
| Western\_Meadowlark\_Data.zip<br>“Western Meadowlark Results” | | 986.25 MB | application/zip |
| Western\_Kingbird\_Data.zip<br>“Western Kingbird Results” | | 1,002.8 MB | application/zip |
| RESULTS\_spreadsheet.xlsx<br>“Comparison of results for AUC scores, variable significance, and more” | | 87.27 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| FAQ.html<br>“Frequently Asked Questions (FAQ)” | | 34.57 KB | text/html |
| Metadata.html<br>“Metadata (HTML format)” | | 63.26 KB | text/html |
... show more ... (Attached Files)
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| The Relative Impacts of Climate and Land-Use Change on Conterminous United States Bird Species from 2001 to 207 | [https://doi.org/10.1371/journal.pone.0112251](https://doi.org/10.1371/journal.pone.0112251 "https://doi.org/10.1371/journal.pone.0112251") |
Type: webLink
| | |
| --- | --- |
| 7-Zip | [https://www.7-zip.org/](https://www.7-zip.org/ "https://www.7-zip.org/") |
## Purpose
Data were created in a modeling procedure as a sensitivity analysis to determine the relative impacts of climate change and land-use change on the distributions of 50 different bird species in the conterminous United States. The hypothesis was that existing species distribution models that incorporate projected climate data but do not use projected land-use data are providing an incomplete story of potential change in future bird species distributions.
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Terry Sohl</origin>\n <pubdate>2014</pubdate>\n <title>The Relative Impacts of Climate and Land-use Change on Conterminous United States Bird Species from 2001 to 2075</title>\n <geoform>Raster data are provided in GeoTIFF format; Data also include a summary Excel spreadsheet of final results, and PDFs of Maxent model output for each of the 50 species.</geoform>\n <pubinfo>\n <pubplace>Sioux Falls, SD</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9PTJ0PO</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Terry L. Sohl</origin>\n <pubdate>2014</pubdate>\n <title>The Relative Impacts of Climate and Land-use Change on Conterminous United States Bird Species from 2001 to 2075</title>\n <geoform>Peer-reviewed Journal Article</geoform>\n <pubinfo>\n <pubplace>PLOS ONE</pubplace>\n <publish>Public Library Of Science (PLOS)</publish>\n </pubinfo>\n <onlink>https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0112251</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Species distribution models often use climate data to assess contemporary and/or future ranges for animal or plant species. Land use and land cover (LULC) data are important predictor variables for determining species range, yet are rarely used when modeling future distributions. In this study, maximum entropy modeling was used to construct species distribution maps for 50 North American bird species to determine relative contributions of climate and LULC for contemporary (2001) and future (2075) time periods. Results indicate species-specific response to climate and LULC variables; however, both climate and LULC variables clearly are important for modeling both contemporary and potential future species ranges. \n\nThis data release provides summary data for each of the 50 species. Four types of files are included in a ZIP file distributed for each species, including 1) GeoTIFF files that represent species distributions for 2001 and 2075 (including model runs with and without climate or land use), 2) PDF files summarizing MaxENT model runs for 2001, demonstrating sensitivity of the models to climate and land use, 3) lambda values for each model run that contain variables used in that run and constants that can be used to compute values for the fitted model, and 4) a JPG file depicting a summary map of modeled species range in 2001, and panel maps depicting changes in species probability as land use and/or climate change by 2075. A summary Excel spreadsheet summarizes and compares results across the 50 species.</abstract>\n <purpose>Data were created in a modeling procedure as a sensitivity analysis to determine the relative impacts of climate change and land-use change on the distributions of 50 different bird species in the conterminous United States. The hypothesis was that existing species distribution models that incorporate projected climate data but do not use projected land-use data are providing an incomplete story of potential change in future bird species distributions.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2001</begdate>\n <enddate>2018</enddate>\n </rngdates>\n </timeinfo>\n <current>Modeled time period</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-125.15167596785</westbc>\n <eastbc>-66.264957220208</eastbc>\n <northbc>49.000932513965</northbc>\n <southbc>23.673440501823</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>USGS</themekey>\n <themekey>Land Cover</themekey>\n <themekey>Land Use</themekey>\n <themekey>Model</themekey>\n <themekey>CONUS</themekey>\n <themekey>Conterminous</themekey>\n <themekey>United States</themekey>\n <themekey>Scenario</themekey>\n <themekey>Intergovernmental Panel on Climate Change</themekey>\n <themekey>IPCC</themekey>\n <themekey>Special Report on Emissions Scenarios</themekey>\n <themekey>SRES</themekey>\n <themekey>FORE-SCE</themekey>\n <themekey>bird</themekey>\n <themekey>Species Distribution Model</themekey>\n <themekey>SDM</themekey>\n <themekey>Climate</themekey>\n <themekey>Future</themekey>\n <themekey>Projection</themekey>\n <themekey>Change</themekey>\n <themekey>Range</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5bb390e3e4b08583a5d75096</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Conterminous United States</placekey>\n <placekey>CONUS</placekey>\n <placekey>Lower 48</placekey>\n </place>\n <temporal>\n <tempkt>USGS Thesaurus</tempkt>\n <tempkey>Projected</tempkey>\n <tempkey>Scenario</tempkey>\n <tempkey>Future</tempkey>\n </temporal>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Terry Sohl</cntper>\n <cntorg>United States Geological Survey - Earth Resources Observation and Science (EROS) Center</cntorg>\n </cntperp>\n <cntpos>Research Physical Scientist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>47914 252nd Street</address>\n <city>Sioux Falls</city>\n <state>South Dakota</state>\n <postal>57198</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>605-594-6537</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>The climate and land-use projections used to assess changes in bird species distributions are scenario-based. They are not a prediction or a forecast and are not subject to accuracy assessment. \n\nThe baseline 2001 projections were modeled using statistical relationships between actual bird observations, and environmental data including climate, topography, and land cover. Accuracy of the models is best described by AUC scores associated with each 2001 model run. Included with the data for each species are PDF files that summarize the baseline 2001 model runs. These PDF data include information about the quality of the model for each species. Note model quality varies among the 50 different species. A summary of model quality can be found in the distributed Excel file associated with this data release (titled: RESULTS_spreadsheet.xlsx).</attraccr>\n </attracc>\n <logic>No issues to report.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2014</pubdate>\n <title>Conterminous United States Land Cover Projections - 1992 to 2100</title>\n <geoform>raster</geoform>\n <pubinfo>\n <pubplace>USGS EROS, Sioux Falls, South Dakota</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://www.sciencebase.gov/catalog/item/5b96c2f9e4b0702d0e826f6d</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Projected land cover data, with annual land cover maps from 1992 through 2100, with 4 future scenarios</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20140101</begdate>\n <enddate>20141231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Data are a one-time set of landscape projections for the conterminous United States. No data updating is planned.</srccurr>\n </srctime>\n <srccitea>CONUS Land Cover Projections - 1992-2100</srccitea>\n <srccontr>All land cover data used in the bird species distribution modeling was derived from these data.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2002</pubdate>\n <title>National Land Cover Database - 1992</title>\n <geoform>raster</geoform>\n <pubinfo>\n <pubplace>USGS EROS, Sioux Falls, South Dakota</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://www.mrlc.gov/nlcd1992.php</onlink>\n </citeinfo>\n </srccite>\n <typesrc>1992 era land-cover data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19920101</begdate>\n <enddate>19921231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Represented actual land-cover conditions for year 1992</srccurr>\n </srctime>\n <srccitea>NLCD</srccitea>\n <srccontr>Used as starting land cover for the 1992 to 2100 land cover projections that were used in the bird species distribution modeling.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Cornell Lab of Ornithology</origin>\n <pubdate>2013</pubdate>\n <title>eBird Data</title>\n <geoform>Spreadsheet</geoform>\n <pubinfo>\n <pubplace>Cornell University, Ithaca, Yew York</pubplace>\n <publish>Cornell Lab of Ornithology</publish>\n </pubinfo>\n <onlink>https://ebird.org/home</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Georeferenced database of bird sightings</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20130101</begdate>\n <enddate>20131231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>The eBird database is a live entity with thousands of new observations added daily. The data used here were retrieved from the database in 2013.</srccurr>\n </srctime>\n <srccitea>eBird</srccitea>\n <srccontr>EBird data provided the georeferenced bird observations used in the species distribution models</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>USGS</origin>\n <pubdate>2016</pubdate>\n <title>National Elevation Database (NED)</title>\n <geoform>raster</geoform>\n <pubinfo>\n <pubplace>Bethesda, Maryland</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://lta.cr.usgs.gov/NED</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital elevation / topographic data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20080101</begdate>\n <enddate>20081231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Data represented NED data from 2008 access</srccurr>\n </srctime>\n <srccitea>NED</srccitea>\n <srccontr>NED data served as topographic variables used in the bird species distribution modeling</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Alisa Gallant</origin>\n <pubdate>2012</pubdate>\n <title>Downscaled Climate Data</title>\n <geoform>Raster</geoform>\n <pubinfo>\n <pubplace>Sioux Falls, South Dakota</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://www.sciencedirect.com/science/article/pii/S0048969712005906</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Downscaled Climate Data to 4km grid cells, including multiple temperature and precipitation variables</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20120101</begdate>\n <enddate>20121231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>One-time downscaling, no update planned</srccurr>\n </srctime>\n <srccitea>Downscaled Climate Data</srccitea>\n <srccontr>Downscaled climate data as described in the URL link below were used as a predictor variable in the bird species distribution modeling. Note the downscaled climate data themselves were produced internally at USGS EROS and were never publicly published. However, as described in the paper associated with the URL link below, the source data and models used for the downscaling are readily available.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>A complete accounting of the modeling process is provided in: \n\nSohl, T.L., 2014. The relative impacts of climate and land-use change on conterminous United States bird species from 2001 to 2075. PLoS ONE 9(11): e112251. doi:10.1371/journal.pone.0112251.</procdesc>\n <procdate>2014</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Terry L Sohl</cntper>\n <cntorg>CLIMATE & LAND-USE: SCIENCE TEAM 2</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>47914 252Nd Street</address>\n <city>Sioux Falls</city>\n <state>SD</state>\n <postal>57198</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>605-594-6537</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Data cover the lower 48, conterminous states of the United States</indspref>\n <direct>Raster</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Albers Conical Equal Area</mapprojn>\n <albers>\n <stdparll>29.5</stdparll>\n <stdparll>45.5</stdparll>\n <longcm>-96.0</longcm>\n <latprjo>23.0</latprjo>\n <feast>0.0</feast>\n <fnorth>0.0</fnorth>\n </albers>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>250.0</absres>\n <ordres>250.0</ordres>\n </coordrep>\n <plandu>METERS</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>North American Datum 1983</horizdn>\n <ellips>GRS80</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>ZIP File Contents</enttypl>\n <enttypd>Descriptions of the files included in each of the 50 ZIP files (one for each species)</enttypd>\n <enttypds>Terry Sohl - Research Physical Scientist - USGS EROS</enttypds>\n </enttyp>\n <attr>\n <attrlabl>speciesname_2001_ALL_Variables.lambdas</attrlabl>\n <attrdef>MaxEnt lambdas file for the 2001 model in which climate, land use, and topography were all used as predictor variables</attrdef>\n <attrdefs>Model output associated with this data release.</attrdefs>\n <attrdomv>\n <udom>A MaxEnt lambdas file is a simple text file and consists of two parts. The first contains information on features and the second, which is located at the end of the file, gives values for vital constants needed to compute a value for the fitted model. They are: \nlinearPredictorNormalizer \ndensityNormalizer \nnumBackgroundPoints \nentropy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>speciesname_2001_No_Climate.lambdas</attrlabl>\n <attrdef>MaxEnt lambdas file for the 2001 model in which land use and topography were used as predictor variables, but climate data was omitted</attrdef>\n <attrdefs>Model output associated with this data release.</attrdefs>\n <attrdomv>\n <udom>A MaxEnt lambdas file is a simple text file and consists of two parts. The first contains information on features and the second, which is located at the end of the file, gives values for vital constants needed to compute a value for the fitted model. They are: \nlinearPredictorNormalizer \ndensityNormalizer \nnumBackgroundPoints \nentropy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>speciesname_2001_No_LULC.lambdas</attrlabl>\n <attrdef>MaxEnt lambdas file for the 2001 model in which climate and topography were used as predictor variables, but land-use data was omitted</attrdef>\n <attrdefs>Model output associated with this data release.</attrdefs>\n <attrdomv>\n <udom>A MaxEnt lambdas file is a simple text file and consists of two parts. The first contains information on features and the second, which is located at the end of the file, gives values for vital constants needed to compute a value for the fitted model. They are: \nlinearPredictorNormalizer \ndensityNormalizer \nnumBackgroundPoints \nentropy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>speciesname_2001_All_Variables.pdf</attrlabl>\n <attrdef>A PDF that summarizes the Maxent model output for 2001, using climate, land use, and topographic variables.</attrdef>\n <attrdefs>Model output associated with this data release.</attrdefs>\n <attrdomv>\n <udom>The PDF provides a summary of MaxEnt model output including AUC curves, thresholding options, response curves for each predictor variable, and an analysis of variable contributions to the fitted model.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>speciesname_2001_No_Climate.pdf</attrlabl>\n <attrdef>A PDF that summarizes the Maxent model output for 2001, using land use and topography as predictor variables, but omitting climate.</attrdef>\n <attrdefs>Model output associated with this data release.</attrdefs>\n <attrdomv>\n <udom>The PDF provides a summary of MaxEnt model output including AUC curves, thresholding options, response curves for each predictor variable, and an analysis of variable contributions to the fitted model.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>speciesname_2001_No_LULC.pdf</attrlabl>\n <attrdef>A PDF that summarizes the Maxent model output for 2001, using climate and topography as predictor variables, but omitting land use.</attrdef>\n <attrdefs>Model output associated with this data release.</attrdefs>\n <attrdomv>\n <udom>The PDF provides a summary of MaxEnt model output including AUC curves, thresholding options, response curves for each predictor variable, and an analysis of variable contributions to the fitted model.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>speciesname_2001_to_2075_range_compare.jpg</attrlabl>\n <attrdef>Graphic depicting fitted model for 2001, and deviation from 2001 to 2075 by scenario and model</attrdef>\n <attrdefs>Summary graphic</attrdefs>\n <attrdomv>\n <udom>The graphic represents 1) the fitted model in 2001, showing presence probability (values 0 to 1) across the conterminous United States, and 2) change in probability in 2075 by scenario, and model option. Three IPCC scenarios are shown for 2075, as are 3 model options: 1) All variables modeled (climate, land use, and topography), 2) Static LULC - Dynamic Climate, and 3) Dynamic LULC - Static Climate. Areas in red on the graphic depict regions where species probability declines from 2001 to 2075, while areas in blue depict regions where species probability increases from 2001 to 2075.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>speciesname_2001_all_variables.tif</attrlabl>\n <attrdef>Species probability-of-occurrence map for 2001, using all variables (climate, land use, and topography)</attrdef>\n <attrdefs>Modeled output</attrdefs>\n <attrdomv>\n <udom>GeoTIFF file representing probability-of-occurrence. Original values were stored as floating point files, with values from 0 to 1. They have been rescaled to 8-bit to reduce storage size. Spatial resolution is 250-m pixels.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>speciesname_2001_no_climate.tif</attrlabl>\n <attrdef>Species probability-of-occurrence map for 2001, using land use and topography as predictor variables but omitting climate.</attrdef>\n <attrdefs>Modeled Output</attrdefs>\n <attrdomv>\n <udom>GeoTIFF file representing probability-of-occurrence. Original values were stored as floating point files, with values from 0 to 1. They have been rescaled to 8-bit to reduce storage size. Spatial resolution is 250-m pixels.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>speciesname_2001_no_lulc.tif</attrlabl>\n <attrdef>Species probability-of-occurrence map for 2001, using climate and topography as predictor variables but omitting land use.</attrdef>\n <attrdefs>Modeled output</attrdefs>\n <attrdomv>\n <udom>GeoTIFF file representing probability-of-occurrence. Original values were stored as floating point files, with values from 0 to 1. They have been rescaled to 8-bit to reduce storage size. Spatial resolution is 250-m pixels.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>speciesname_scenario_2075_all_variables.tif</attrlabl>\n <attrdef>Species probability-of-occurrence map for 2075, using all variables (climate, land use, and topography). Scenario is either IPCC scenario A1B, A2, or B1.</attrdef>\n <attrdefs>Modeled output</attrdefs>\n <attrdomv>\n <udom>GeoTIFF file representing probability-of-occurrence. Original values were stored as floating point files, with values from 0 to 1. They have been rescaled to 8-bit to reduce storage size. Spatial resolution is 250-m pixels.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>speciesname_scenario_2075_static_climate.tif</attrlabl>\n <attrdef>Species probability-of-occurrence map for 2075, using topography, projected 2075 land use, but with no assumed climate change from 2001. Scenario is either IPCC scenario A1B, A2, or B1.</attrdef>\n <attrdefs>Modeled output</attrdefs>\n <attrdomv>\n <udom>GeoTIFF file representing probability-of-occurrence. Original values were stored as floating point files, with values from 0 to 1. They have been rescaled to 8-bit to reduce storage size. Spatial resolution is 250-m pixels.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>speciesname_scenario_2075_static_lulc.tif</attrlabl>\n <attrdef>Species probability-of-occurrence map for 2075, using topography, projected 2075 climate, but with no assumed land use change from 2001. Scenario is either IPCC scenario A1B, A2, or B1.</attrdef>\n <attrdefs>Modeled output</attrdefs>\n <attrdomv>\n <udom>GeoTIFF file representing probability-of-occurrence. Original values were stored as floating point files, with values from 0 to 1. They have been rescaled to 8-bit to reduce storage size. Spatial resolution is 250-m pixels.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Map Extent and Coordinates</enttypl>\n <enttypd>Corner coordinate values for the GeoTIFF files, in meters. Coordinate system is Albers Conical Equal Area projection, described elsewhere in this metadata</enttypd>\n <enttypds>Modeled data coordinates</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Map coordinates</attrlabl>\n <attrdef>Corner coordinate values for the GeoTIFF files, in meters. Coordinate system is Albers Conical Equal Area projection, described elsewhere in this metadata</attrdef>\n <attrdefs>Standard map coordinates</attrdefs>\n <attrdomv>\n <edom>\n <edomv>-2357828.184</edomv>\n <edomvd>Upper Left X Coordinate</edomvd>\n <edomvds>Mapped corner coordinate</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>3175167.633</edomv>\n <edomvd>Upper-left Y Coordinate</edomvd>\n <edomvds>Mapped Corner Coordinate</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2282671.816</edomv>\n <edomvd>Lower-right X coordinate</edomvd>\n <edomvds>Mapped corner coordinate</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>238667.633</edomv>\n <edomvd>Lower-right Y coordinate</edomvd>\n <edomvds>Mapped corner coordinate</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>Terry Sohl</cntper>\n <cntorg>United States Geological Survey - Earth Resources Observation and Science (EROS) Center</cntorg>\n </cntperp>\n <cntpos>Research Physical Scientist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>47914 252nd Street</address>\n <city>Sioux Falls</city>\n <state>South Dakota</state>\n <postal>57198</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>605-594-6537</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>7-Zip</formname>\n <formvern>18.05</formvern>\n <formspec>ZIP file compression using freeware 7-ZIP</formspec>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://www.7-zip.org/</networkr>\n </networka>\n </computer>\n <accinstr>The freeware/shareware 7-ZIP (version 18.05) was used to compress all files associated with a species to ZIP file. 7-ZIP is the recommended software to uncompress the ZIP file and retrieve the component files.</accinstr>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n <techpreq>Data are distributed in a compressed ZIP file format. Many data compression software packages may be used to extract the individual image (GeoTIFF) files. The freeware package 7-Zip (available from many locations online) is recommended.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20200818</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Terry Sohl</cntper>\n <cntorg>U.S. Geological Survey - Earth Resources Observation and Science (EROS) Center</cntorg>\n </cntperp>\n <cntpos>Research Physical Scientist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>47914 252nd Street</address>\n <city>Sioux Falls</city>\n <state>South Dakota</state>\n <postal>57198</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>605-594-6537</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2019-12-17Time Period2019
## Citation
Croke, M.R., Jubb, A.M., Engle, M.A., Chenault, J.M., Blondes, M.S., Danforth, C.G., Doolan, C., Gallegos, T.J., Mueller, D., and Shelton, J.L., 2019, Direct Trace Element Determination in Oil and Gas Produced Waters with Inductively Coupled Plasma – Optical Emission Spectrometry (ICP-OES): Advantages of High Salinity Tolerance (2019): U.S. Geological Survey data release, https://doi.org/10.5066/P90A6966.
## Summary
Waters co-produced during petroleum extraction are the largest waste stream from oil and gas development. Reuse or disposal of these waters is difficult due both to their high salinities, which can greatly exceed 35 g/L (seawater equivalent), and also the sheer volume of wastewater generated, which is estimated at nearly 900 billion gallons per year across the United States. Beyond disposal concerns, produced water may also represent a possible source of valuable mineral commodities. While an understanding of the trace element composition of produced water is required for evaluating the associated resource and waste potential of these materials, measuring trace elements in high salinity brines is challenging due to the dilution requirements \[...\]
## Summary
Waters co-produced during petroleum extraction are the largest waste stream from oil and gas development. Reuse or disposal of these waters is difficult due both to their high salinities, which can greatly exceed 35 g/L (seawater equivalent), and also the sheer volume of wastewater generated, which is estimated at nearly 900 billion gallons per year across the United States. Beyond disposal concerns, produced water may also represent a possible source of valuable mineral commodities. While an understanding of the trace element composition of produced water is required for evaluating the associated resource and waste potential of these materials, measuring trace elements in high salinity brines is challenging due to the dilution requirements of typical methods. Alternatively, inductively coupled plasma-optical emission spectrometry (ICP-OES) has shown promise as being capable of direct measurements of trace elements within produced waters with minimal dilution. Here we evaluate direct ICP-OES trace element quantification in produced waters through detection and quantification for 17 select trace elements (As, Al, Ba, Be, Cd, Cr, Co, Cu, Hg, Mo, Ni, Pb, Rb, Sb, U, V, and Zn) from 15 produced water samples. The produced waters range in salinity from 17 to 370 g/L and originate from the Eagle Ford, Marcellus, Middle Bakken/Three Forks, Wolfcamp/Cline, and Utica/Point Pleasant reservoirs. The ICP-OES results are compared against trace element levels determined using inductively coupled plasma-mass spectrometry (ICP-MS) from the same samples. Our results demonstrate the potential of an ICP-OES approach for the direct analysis of trace components from high salinity aqueous solutions with minimal dilution and provide additional trace element concentrations for waters from several important U.S. petroleum-generating continuous reservoirs where available data is sparse.
## Contacts
Point of Contact
:
[Aaron M Jubb](/catalog/catalogParty/show?partyId=73218)
Originator
:
[Mary R Croke](/catalog/catalogParty/show?partyId=76748),
[Aaron M Jubb](/catalog/catalogParty/show?partyId=73218),
[Mark A Engle](/catalog/catalogParty/show?partyId=2964),
[Jessica M Chenault](/catalog/catalogParty/show?partyId=70270),
[Madalyn S Blondes](/catalog/catalogParty/show?partyId=23335),
[Cloelle G Danforth](/catalog/catalogParty/show?partyId=Cloelle+G+Danforth),
[Colin Doolan](/catalog/catalogParty/show?partyId=13442),
[Tanya J Gallegos](/catalog/catalogParty/show?partyId=3514),
[Dan Mueller](/catalog/catalogParty/show?partyId=Dan+Mueller),
[Jenna L Shelton](/catalog/catalogParty/show?partyId=60337)
Metadata Contact
:
[Eric A Morrissey](/catalog/catalogParty/show?partyId=7209)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
SDC Data Owner
:
[Geology, Energy & Minerals Science Center](/catalog/catalogParty/show?partyId=17290)
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:
[Energy and Minerals](/catalog/catalogParty/show?partyId=Energy+and+Minerals)
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:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
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| Product\_10.5066P90A6966\_METADATA.xml<br>_Original FGDC Metadata_ | View | 68.69 KB | application/fgdc+xml |
| Table S1.csv | | 465 Bytes | text/csv |
| Table S2.csv | | 639 Bytes | text/csv |
| Table S3.csv | | 650 Bytes | text/csv |
| Table S4.csv | | 546 Bytes | text/csv |
| Table S5.csv | | 560 Bytes | text/csv |
| Table S6.csv | | 552 Bytes | text/csv |
| Table S7.csv | | 581 Bytes | text/csv |
| Table S8.csv | | 8.94 KB | text/csv |
| Table S9.csv | | 1.13 KB | text/csv |
| Table S10.csv | | 472 Bytes | text/csv |
## Purpose
Data were collected in order to detect concentrations of select trace elements in produced waters from low-permeability reservoirs, to demonstrate the validity of an ICP-OES approach as an analytical method.
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| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P90A6966 |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Croke, Mary R</origin>\n <origin>Jubb, Aaron M</origin>\n <origin>Engle, Mark A</origin>\n <origin>Chenault, Jessica M</origin>\n <origin>Blondes, Madalyn S</origin>\n <origin>Danforth, Cloelle G</origin>\n <origin>Doolan, Colin</origin>\n <origin>Gallegos, Tanya J</origin>\n <origin>Mueller, Dan</origin>\n <origin>Shelton, Jenna L</origin>\n <pubdate>20191217</pubdate>\n <title>Direct Trace Element Determination in Oil and Gas Produced Waters with Inductively Coupled Plasma \xe2\x80\x93 Optical Emission Spectrometry (ICP-OES): Advantages of High Salinity Tolerance (2019)</title>\n <geoform>Tabular</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P90A6966</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Waters co-produced during petroleum extraction are the largest waste stream from oil and gas development. Reuse or disposal of these waters is difficult due both to their high salinities, which can greatly exceed 35 g/L (seawater equivalent), and also the sheer volume of wastewater generated, which is estimated at nearly 900 billion gallons per year across the United States. Beyond disposal concerns, produced water may also represent a possible source of valuable mineral commodities. While an understanding of the trace element composition of produced water is required for evaluating the associated resource and waste potential of these materials, measuring trace elements in high salinity brines is challenging due to the dilution requirements of typical methods. Alternatively, inductively coupled plasma-optical emission spectrometry (ICP-OES) has shown promise as being capable of direct measurements of trace elements within produced waters with minimal dilution. Here we evaluate direct ICP-OES trace element quantification in produced waters through detection and quantification for 17 select trace elements (As, Al, Ba, Be, Cd, Cr, Co, Cu, Hg, Mo, Ni, Pb, Rb, Sb, U, V, and Zn) from 15 produced water samples. The produced waters range in salinity from 17 to 370 g/L and originate from the Eagle Ford, Marcellus, Middle Bakken/Three Forks, Wolfcamp/Cline, and Utica/Point Pleasant reservoirs. The ICP-OES results are compared against trace element levels determined using inductively coupled plasma-mass spectrometry (ICP-MS) from the same samples. Our results demonstrate the potential of an ICP-OES approach for the direct analysis of trace components from high salinity aqueous solutions with minimal dilution and provide additional trace element concentrations for waters from several important U.S. petroleum-generating continuous reservoirs where available data is sparse.</abstract>\n <purpose>Data were collected in order to detect concentrations of select trace elements in produced waters from low-permeability reservoirs, to demonstrate the validity of an ICP-OES approach as an analytical method.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>2019</caldate>\n </sngdate>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-108.98437499917</westbc>\n <eastbc>-73.564453125583</eastbc>\n <northbc>48.806575302164</northbc>\n <southbc>30.296640109053</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>Enhanced oil recovery</themekey>\n <themekey>elemental analysis</themekey>\n <themekey>ICP-OES</themekey>\n <themekey>unconventional oil and gas</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d9f2d87e4b036616293580a</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Index System (GNIS) placenames; (https://geonames.usgs.gov/apex/f?p=138:1:0:::::)</placekt>\n <placekey>Texas</placekey>\n <placekey>New York</placekey>\n <placekey>Pennsylvania</placekey>\n <placekey>Ohio</placekey>\n <placekey>West Virginia</placekey>\n <placekey>Montana</placekey>\n <placekey>North Dakota</placekey>\n <placekey>South Dakota</placekey>\n </place>\n <stratum>\n <stratkt>USGS Thesaurus</stratkt>\n <stratkey>Eagle Ford shale</stratkey>\n <stratkey>Marcellus Shale</stratkey>\n <stratkey>Bakken Shale</stratkey>\n <stratkey>Wolfcamp Shale</stratkey>\n <stratkey>Utica Shale</stratkey>\n <stratkey>Three Forks</stratkey>\n <stratkey>Point Pleasant</stratkey>\n <stratkey>Cline</stratkey>\n </stratum>\n <temporal>\n <tempkt>USGS Thesaurus: Time Periods</tempkt>\n <tempkey>Upper Cretaceous</tempkey>\n <tempkey>Middle Devonian</tempkey>\n <tempkey>Upper Devonian</tempkey>\n <tempkey>Fammenian Age</tempkey>\n <tempkey>Carboniferous Period</tempkey>\n <tempkey>Upper Ordovician</tempkey>\n </temporal>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Aaron M Jubb</cntper>\n <cntorg>NORTHEAST REGION: EASTERN ENERGY RESOURCES SC</cntorg>\n </cntperp>\n <cntpos>Chemist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 956, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>703-648-6481</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Three PW samples from each of the Eagle Ford (Gulf Coast Basin), Marcellus (Appalachian Basin), Middle Bakken/Three Forks (Williston Basin), Wolfcamp/Cline (Permian Basin), and Utica/Point Pleasant (Appalachian Basin) reservoirs that spanned the available sample salinity range (i.e., one low, one medium, and one high salinity sample each) were selected for analysis from the U.S. Geological Survey (USGS) PW sample catalog. The 15 selected samples were all collected during previous USGS field campaigns, filtered to 0.45 \xc2\xb5m and acidified in the field to a pH of <2 with ultra-pure HNO3 (Fisher Scientific), and stored at ~4 \xc2\xb0C in high density polyethylene bottles, as described previously (Engle et al., 2019, 2016). All samples were analyzed within three years of collection. The samples span a total dissolved solids (TDS) range of 17-370 g/L; this range is inclusive of nearly all PWs from the United States (Blondes et al., 2016). While there are several studies reporting PW trace element concentrations for the Marcellus (Hayes 2009, Pancras et al. 2015, Tasker et al. 2019, Ziemkiewicz and He 2015), there are only a few reported PW trace element concentrations for the Bakken/Three Forks (Lauer et al. 2016, Peterman et al. 2017) and Eagle Ford (Nicot et al. 2018) and no publicly available data for PWs from the Wolfcamp/Cline and Utica/Point Pleasant reservoirs. \n\nEngle M.A., Doolan C.A., Pitman J.A., Varonka M.S., Chenault J., Orem W.H., McMahon P.B. and Jubb A.M. (2019) A multi-isotope (\xce\xb42H, \xce\xb411B, \xce\xb418O, 87Sr/86Sr, and 228Ra/226Ra) approach to understanding origin of formation waters from the lower Eagle Ford Group, Gulf Coast Basin, south central Texas. Chemical Geology, In Review. \nEngle M.A., Reyes F.R., Varonka M.S., Orem W.H., Ma L., Ianno A.J., Schell T.M., Xu P. and Carroll K.C. (2016) Geochemistry of formation waters from the Wolfcamp and \xe2\x80\x9cCline\xe2\x80\x9d shales: Insights into brine origin, reservoir connectivity, and fluid flow in the Permian Basin, USA. Chemical Geology, 425, 76\xe2\x80\x9392. \nBlondes M.S., Gans K.D., Rowan E.L., Thordsen J.J., Reidy M.E., Engle M.A., Kharaka Y.K. and Thomas B. (2016) U.S. Geological Survey National Produced Waters Geochemical Database v2.2 (PROVISIONAL). \nHayes T. (2009) Sampling and analysis of water stream associated with the development of Marcellus Shale gas. Des Plaines, IL. \nPancras J.P., Norris G.A., Landis M.S., Kovalcik K.D., Mcgee J.K. and Kamal A.S. (2015) Application of ICP-OES for evaluating energy extraction and production wastewater discharge impacts on surface waters in Western Pennsylvania. Science of the Total Environment, 529, 21\xe2\x80\x9329. \nTasker T.L., Burgos W.D., Ajemigbitse M.A., Lauer N.E., Gusa A.V., Kuatbek M., May D., Landis J.D., Alessi D.S., Johnsen A.M., Kaste J.M., Headrick K.L., Wilke F.D.H., McNeal M., Engle M., Jubb A.M., Vidic R.D., Vengosh A. and Warner N.R. (2019) Accuracy of methods for reporting inorganic element concentrations and radioactivity in oil and gas wastewaters from the Appalachian Basin, U.S. based on an inter-laboratory comparison. Environmental Science: Processes & Impacts, 21, 224\xe2\x80\x93241. \nZiemkiewicz P.F. and He Y.T. (2015) Evolution of water chemistry during Marcellus Shale gas development: A case study in West Virginia. Chemosphere, 134, 224\xe2\x80\x93231. \nLauer N.E., Harkness J.S. and Vengosh A. (2016) Brine spills associated with unconventional oil development in North Dakota. Environmental Science & Technology, 50, 5389\xe2\x80\x935397. \nPeterman Z., Futa K., Thamke J. and Oliver T. (2017) Characterization and origin of brines from the BakkenThree Forks petroleum system in the Williston Basin, USA. Mountain Geologist, 54, 203\xe2\x80\x93221. \nNicot J., Gherabati A., Darvari R. and Mickler P. (2018) Salinity reversal and water freshening in the Eagle Ford Shale, Texas, USA. ACS Earth and Space Chemistry, 2, 1087\xe2\x80\x931094.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n <procstep>\n <procdesc>ICP-OES analyses were performed in the Brine Research Instrumental and Experimental (BRInE) laboratory (https://usgs.gov/centers/eersc/science/oil-and-gas-waters-project) at the USGS National Center in Reston, Virginia. All analyses were conducted on a Horiba Ultima Expert ICP-OES, which has a vertical torch with a radial plasma view geometry and is equipped with a high TDS sample introduction system consisting of a Meinhard type K nebulizer, a cyclonic spray chamber, and an argon humidifier. Ultra-high purity (UHP) grade argon (Ar) was used as the plasma, sheath, and nebulization gas and was used as received. UHP grade nitrogen (N2) was used to purge the optical path and detector compartment. The ICP-OES detector gain and voltage were optimized for detection of a 1000 \xce\xbcg/L standard solution (Table 2). The atomic emission lines used for the trace element determinations by ICP-OES are given in Table 3 and were primarily taken from U.S. Environmental Protection Agency (EPA) Method 200.7 (1994a). Different emission lines were used for the quantification of Ba, Be, and Cd than those listed in U.S. EPA Method 200.7 (1994a) due to the superior performance (i.e., higher precision) observed here when using the alternative lines; no suggested emission lines are given for Rb and U in Method 200.7. During an experimental run each emission line was scanned with nine points with ~0.5 s acquisition per point and the maximum intensity of the peak center was recorded. Each emission line was measured in triplicate. The emission line intensities were baseline corrected using the mean intensity of five laboratory blanks (50 g/L Na-Ca-Cl solution in 2% HNO3; discussed below) measured at that wavelength. \n\nU.S. Environmental Protection Agency (1994a) Method 200.7 - Determination of metals and trace elements in water and wastes by inductively coupled plasma-atomic emission spectrometry.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n <procstep>\n <procdesc>Trace element concentrations were determined using the mean maximum recorded intensity for each element emission line following baseline correction and a linear regression fit to a log-log standard calibration curve. The log-log calibration method was used to prevent violating the assumption of homoscedasticity (homogeneity of variance) in normal least squares regression and was selected over the more common weighted least squares regression as the weights are difficult to estimate when using only a few (~5) calibration points (Ryan 2009). When prediction is the primary objective of regression analysis, homoscedasticity is perhaps more critical than other regression quality metrics because it ensures that precision of estimation is equal across the calibration range (Reimann et al. 2008). In this study, the ICP-OES calibration curves typically spanned the 10-5,000 \xce\xbcg/L concentration range. Standard solutions were prepared to the desired concentration from signal element certified 1,000,000 \xce\xbcg/L stock solutions in 2% HNO3 purchased from High Purity Standards Inc. (Charleston, South Carolina). \n\nRyan T.P. (2009) Modern Regression Methods, 2nd ed. Wiley (New York, NY, USA), pp.672. \nReimann C., Filzmoser P., Garrett R. and Dutter R. (2008) Statistical Data Analysis Explained. Wiley (New York, NY, USA), pp.362.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n <procstep>\n <procdesc>Samples were minimally pre-diluted to a target TDS of 50 g/L prior to ICP-OES analysis such that salinity was relatively constant between samples and could be matched to the calibration standards. Nearly all natural PWs with a salinity >10 g/L are dominated by the ions Na, Ca, and Cl (Kharaka and Hanor 2014). As salinity of PWs increases, the average Na/Ca ratio tends to decrease (Blondes et al. 2016). For instance, at 100 g/L salinity the average molar Na/Ca ratio is approximately 10 but at 300 g/L it is typically closer to 4. As the molar ratio of elements within the PW samples is unaffected by dilution, samples diluted down to 50 g/L for ICP-OES analysis will have a different cation matrix depending on their original salinity. To account for these shifts, the standard solutions used to generate calibration curves were tested in Na-Ca-Cl amended solutions using Na/Ca molar ratios of both 4 and 10. The Na-Ca-Cl solutions used were prepared from certified high purity salts (ACS grade, >99.0% metals basis or better). \n\nKharaka Y.K. and Hanor J.S. (2014) 7.14 Deep Fluids in Sedimentary Basins. In: Holland H.D. and Turekian K.K. (eds), Treatise on Geochemistry, 2nd Ed. Elsevier, 471\xe2\x80\x93515. \nBlondes M.S., Gans K.D., Rowan E.L., Thordsen J.J., Reidy M.E., Engle M.A., Kharaka Y.K. and Thomas B. (2016) U.S. Geological Survey National Produced Waters Geochemical Database v2.2 (PROVISIONAL).</procdesc>\n <procdate>2019</procdate>\n </procstep>\n <procstep>\n <procdesc>All inductively coupled plasma-mass spectrometry (ICP-MS) analyses were carried out by an accredited commercial laboratory (ISO 17025). The commercial laboratory performing ICP-MS analyses required sample TDS levels to be less than 0.05% by weight (~0.5 g/L) necessitating sample dilution from ~40x to 1000x. Samples were sent to the commercial laboratory both as aliquots that had been previously diluted to a target TDS of 0.4 g/L (dilution factors provided in Table 1) and as minimally diluted aliquots (typically 1-3x). Samples were sent in two batches to control for any biasing factors from the sample dilution step between the two laboratories. Pre-diluted PWs were sent in triplicate while the minimally dilute PW samples were sent in duplicate due to sample volume limitations. Three additional Eagle Ford PWs and one Wolfcamp/Cline PW were included in the minimally dilute sample set. The specific dilution factors used by the commercial laboratory to bring the minimally diluted samples into the ICP-MS analytical range are unavailable; however, it is reasonable to assume that these were the minimum dilution required to achieve the required 0.5 g/L TDS concentration. Regardless, as samples analyzed via ICP-MS were heavily diluted (either by USGS staff or by the commercial laboratory), outside of isobaric interferences (which would be identified through matrix spike response), variation in Na/Ca ratios in the samples is unlikely to impact results and thus did not warrant matrix-matching of the standards.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n <procstep>\n <procdesc>To determine performance of both the ICP-OES and ICP-MS analyses, several quality control (QC) samples were included with the sample batches. These included: blanks, spike-amended blanks (blank spikes), and aliquots from five of the produced water samples spiked with known masses of target elements (matrix spikes). Typical blank and matrix spike concentrations are provided in the Supporting Information, Table S1. Furthermore, although no reference materials for trace elements in produced waters or brines are available to our knowledge, appropriate reference surrogates were chosen based on the salinity of the post-diluted samples that were analyzed using both the ICP-MS and ICP-OES. In the case of ICP-MS analyses where the target salinity was relatively low (0.4 g/L), surface water trace USGS standard reference samples (herein referred to as USGS T standards, USGS T-193 and USGS T-225, respectively) were selected (https://bqs.usgs.gov/srs/). For the ICP-OES analyses, a simulated seawater standard (High Purity Standards Inc., Charleston, South Carolina) was used as the surrogate reference sample as it has a similar salinity (~35 g/L) and major ion composition to that of many produced waters (see Supporting Information, Table S2). These reference surrogates were used as received without further purification.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Geographic Names Index System (GNIS) placenames; (https://geonames.usgs.gov/apex/f?p=138:1:0:::::)</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Table S1</enttypl>\n <enttypd>Typical blank and matrix spike concentrations used for quality control purposes in this experiment</enttypd>\n <enttypds>Jubb, Aaron M.; Engle, Mark A.; Chenault, Jessica M.; Blondes, Madalyn S.; Danforth, Cloelle G.; Doolan, Colin; Gallegos, Tanya J.; Mueller, Dan; Shelton, Jenna L.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Element</attrlabl>\n <attrdef>Element added as reference spike to blank sample as well as water samples from wells studied.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Periodic table</codesetn>\n <codesets>International Union of Pure and Applied Chemistry (https://iupac.org/what-we-do/periodic-table-of-elements/)</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Blank Spike ICP-MS (\xc2\xb5g/L)</attrlabl>\n <attrdef>Concentration of element in prepared blank spike sample, in micrograms per liter used for inductively coupled mass spectrometry analysis</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10</rdommin>\n <rdommax>20</rdommax>\n <attrunit>Micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate lead was not added to blank spike</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Blank Spike ICP-OES (\xc2\xb5g/L)</attrlabl>\n <attrdef>Concentration of element in prepared blank spike sample, in micrograms per liter used for inductively coupled optical emission spectrometry analysis</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>500</rdommin>\n <rdommax>500</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Matrix Spike ICP-MS (\xc2\xb5g/L)</attrlabl>\n <attrdef>Concentration of element added to aliquots of 5 produced water samples used as quality control in inductively coupled mass spectrometry experiments.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1-5</rdommin>\n <rdommax>5-10</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Matrix Spike ICP-OES (\xc2\xb5g/L)</attrlabl>\n <attrdef>Concentration of element added to aliquots of 5 produced water samples used as quality control in inductively coupled optical emission spectrometry experiments.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>190</rdommin>\n <rdommax>190</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table S2</enttypl>\n <enttypd>Concentrations in micrograms per liter for surrogate reference materials used in this study.</enttypd>\n <enttypds>Jubb, Aaron M.; Engle, Mark A.; Chenault, Jessica M.; Blondes, Madalyn S.; Danforth, Cloelle G.; Doolan, Colin; Gallegos, Tanya J.; Mueller, Dan; Shelton, Jenna L.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Trace Element</attrlabl>\n <attrdef>Trace element found within samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Periodic table</codesetn>\n <codesets>International Union of Pure and Applied Chemistry (https://iupac.org/what-we-do/periodic-table-of-elements/)</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>T-193 MPV (\xc2\xb5g/L)</attrlabl>\n <attrdef>Most probable values for trace element concentrations of surrogate reference material used in this study.</attrdef>\n <attrdefs>USGS Office of Water Quality (https://bqs.usgs.gov/srs_study/reports/index.php)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.29</rdommin>\n <rdommax>45</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NR</edomv>\n <edomvd>Values for trace element were not reported by the manufacturer</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>T-193 F-pseudosigma (\xc2\xb5g/L)</attrlabl>\n <attrdef>Uncertainty values for for trace element concentrations of surrogate reference materials used in this study. F-pseudosigma=interquartile range / 1.349</attrdef>\n <attrdefs>USGS Office of Water Quality (https://bqs.usgs.gov/srs_study/reports/index.php)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.03</rdommin>\n <rdommax>3.19</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NR</edomv>\n <edomvd>Values for trace element were not reported by the manufacturer.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>T-255 MPV (\xc2\xb5g/L)</attrlabl>\n <attrdef>Most probable values for trace element concentrations of surrogate reference material used in this study.</attrdef>\n <attrdefs>USGS Office of Water Quality (https://bqs.usgs.gov/srs_study/reports/index.php)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.786</rdommin>\n <rdommax>245</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NR</edomv>\n <edomvd>Values for trace element were not reported by the manufacturer.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>T-255 F-pseudosigma (\xc2\xb5g/L)</attrlabl>\n <attrdef>Uncertainty values for for trace element concentrations of surrogate reference materials used in this study. F-pseudosigma=interquartile range / 1.349</attrdef>\n <attrdefs>USGS Office of Water Quality (https://bqs.usgs.gov/srs_study/reports/index.php)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.074</rdommin>\n <rdommax>18.4</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NR</edomv>\n <edomvd>Values for trace element were not reported by the manufacturer.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Simulated Seawater (\xc2\xb5g/L)</attrlabl>\n <attrdef>Trace element values in simulated seawater (CRM-SW, High Purity Standards, Inc.) used in this study, as reported by the manufacturer</attrdef>\n <attrdefs>High Purity Standards Inc.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0288</rdommin>\n <rdommax>480\xc2\xb110</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NR</edomv>\n <edomvd>Values for trace element were not reported by the manufacturer.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table S3</enttypl>\n <enttypd>Aggregate ICP-OES analysis for produced waters from the Middle Bakken/Three Forks reservoir</enttypd>\n <enttypds>Jubb, Aaron M.; Engle, Mark A.; Chenault, Jessica M.; Blondes, Madalyn S.; Danforth, Cloelle G.; Doolan, Colin; Gallegos, Tanya J.; Mueller, Dan; Shelton, Jenna L.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Trace Element</attrlabl>\n <attrdef>Trace elements found within samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Periodic table</codesetn>\n <codesets>International Union of Pure and Applied Chemistry (https://iupac.org/what-we-do/periodic-table-of-elements/)</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Blank Spike Recovery (%)</attrlabl>\n <attrdef>Spike recovery values taken from spike-amended blanks used to assess stability of the calibration curves.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>96</rdommin>\n <rdommax>108</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Matrix Spike Recovery (%)</attrlabl>\n <attrdef>Percent recovery of samples spiked with a sample with initial TDS=314 g/L</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>78</rdommin>\n <rdommax>110</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Percent of non-detects (%)</attrlabl>\n <attrdef>Number of samples containing trace element selected below detectable levels</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Median % RSD</attrlabl>\n <attrdef>Median relative standard deviation for trace element in percent</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>19</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate relative standard deviation was not found.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Range of % RSD</attrlabl>\n <attrdef>Percentage range of relative standard deviation found for an element in samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.2-4.9</rdommin>\n <rdommax>18-19</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate relative standard deviation was not found.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n above LOQ</attrlabl>\n <attrdef>Number of samples above limit of quantification</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6</rdommax>\n <attrunit>Number of samples</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n above DL</attrlabl>\n <attrdef>Number of samples with element quantity above detectable levels</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6</rdommax>\n <attrunit>number of samples</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table S4</enttypl>\n <enttypd>Aggregate ICP-OES results for Eagle Ford produced waters.</enttypd>\n <enttypds>Jubb, Aaron M.; Engle, Mark A.; Chenault, Jessica M.; Blondes, Madalyn S.; Danforth, Cloelle G.; Doolan, Colin; Gallegos, Tanya J.; Mueller, Dan; Shelton, Jenna L.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Trace Element</attrlabl>\n <attrdef>Trace elements found within samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Periodic table</codesetn>\n <codesets>International Union of Pure and Applied Chemistry (https://iupac.org/what-we-do/periodic-table-of-elements/)</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Blank Spike Recovery (%)</attrlabl>\n <attrdef>Spike recovery values taken from spike-amended blanks used to asses stability of the calibration curves.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>92</rdommin>\n <rdommax>101</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Matrix Spike Recovery (%)</attrlabl>\n <attrdef>Percent recovery of samples spiked with a sample with initial TDS=85 g/L</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>73</rdommin>\n <rdommax>114</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Percent of non-detects (%)</attrlabl>\n <attrdef>Number of samples containing trace element selected below detectable levels</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Median % RSD</attrlabl>\n <attrdef>Median relative standard deviation for trace element in percent</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4.1</rdommin>\n <rdommax>38</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate relative standard deviation was not found.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Range of % RSD</attrlabl>\n <attrdef>Percentage range of relative standard deviation found for an element in samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4.0-4.7</rdommin>\n <rdommax>22-52</rdommax>\n <attrunit>percentage range</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate relative standard deviation was not found.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n above LOQ</attrlabl>\n <attrdef>Number of samples above limit of quantification</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6</rdommax>\n <attrunit>number of samples</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n above DL</attrlabl>\n <attrdef>Number of samples with element quantity above detectable levels</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6</rdommax>\n <attrunit>number of samples</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table S5</enttypl>\n <enttypd>Aggregate ICP-OES analysis results for Marcellus reservoir produced waters.</enttypd>\n <enttypds>Jubb, Aaron M.; Engle, Mark A.; Chenault, Jessica M.; Blondes, Madalyn S.; Danforth, Cloelle G.; Doolan, Colin; Gallegos, Tanya J.; Mueller, Dan; Shelton, Jenna L.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Trace Element</attrlabl>\n <attrdef>Trace elements measured within samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Periodic table</codesetn>\n <codesets>International Union of Pure and Applied Chemistry (https://iupac.org/what-we-do/periodic-table-of-elements/)</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Blank Spike Recovery (%)</attrlabl>\n <attrdef>Spike recovery values taken from spike-amended blanks used to assess stability of the calibration curves.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>91</rdommin>\n <rdommax>104</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Matrix Spike Recovery (%)</attrlabl>\n <attrdef>Percent recovery of samples spiked with a sample with initial TDS=178 g/L</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>90</rdommin>\n <rdommax>124</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Percent of non-detects (%)</attrlabl>\n <attrdef>Number of samples containing trace element selected below detectable levels</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Median % RSD</attrlabl>\n <attrdef>Median relative standard deviation for trace element in percent</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>90</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate relative standard deviation was not found.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Range of % RSD</attrlabl>\n <attrdef>Percentage range of relative standard deviation found for an element in samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0-8.4</rdommin>\n <rdommax>40-58</rdommax>\n <attrunit>percent range</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate relative standard deviation was not found.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n above LOQ</attrlabl>\n <attrdef>Number of samples above limit of quantification</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6</rdommax>\n <attrunit>number of samples</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n above DL</attrlabl>\n <attrdef>Number of samples with element quantity above detectable levels</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6</rdommax>\n <attrunit>number of samples</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table S6</enttypl>\n <enttypd>Aggregate ICP-OES analysis results for Wolfcamp/Cline reservoir produced waters.</enttypd>\n <enttypds>Jubb, Aaron M.; Engle, Mark A.; Chenault, Jessica M.; Blondes, Madalyn S.; Danforth, Cloelle G.; Doolan, Colin; Gallegos, Tanya J.; Mueller, Dan; Shelton, Jenna L.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Trace Element</attrlabl>\n <attrdef>Trace elements measured within samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Periodic table</codesetn>\n <codesets>International Union of Pure and Applied Chemistry (https://iupac.org/what-we-do/periodic-table-of-elements/)</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Blank Spike Recovery (%)</attrlabl>\n <attrdef>Spike recovery values taken from spike-amended blanks used to assess stability of the calibration curves.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>100</rdommin>\n <rdommax>109</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Matrix Spike Recovery (%)</attrlabl>\n <attrdef>Percent recovery of samples spiked with a sample with initial TDS=105 g/L</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>97</rdommin>\n <rdommax>116</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Percent of non-detects (%)</attrlabl>\n <attrdef>Number of samples containing trace element selected below detectable levels</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Median % RSD</attrlabl>\n <attrdef>Median relative standard deviation for trace element in percent</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.2</rdommin>\n <rdommax>6.8</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate relative standard deviation was not found.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Range of % RSD</attrlabl>\n <attrdef>Percentage range of relative standard deviation found for an element in samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.78-1.2</rdommin>\n <rdommax>3.0-7.8</rdommax>\n <attrunit>percent range</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate relative standard deviation was not found.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n above LOQ</attrlabl>\n <attrdef>Number of samples above limit of quantification</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6</rdommax>\n <attrunit>number of samples</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n above DL</attrlabl>\n <attrdef>Number of samples with element quantity above detectable levels</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6</rdommax>\n <attrunit>number of samples</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table S7</enttypl>\n <enttypd>Aggregate ICP-OES analysis results for Utica/Point Pleasant reservoir produced waters.</enttypd>\n <enttypds>Jubb, Aaron M.; Engle, Mark A.; Chenault, Jessica M.; Blondes, Madalyn S.; Danforth, Cloelle G.; Doolan, Colin; Gallegos, Tanya J.; Mueller, Dan; Shelton, Jenna L.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Trace Element</attrlabl>\n <attrdef>Trace element found within samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Periodic table</codesetn>\n <codesets>International Union of Pure and Applied Chemistry (https://iupac.org/what-we-do/periodic-table-of-elements/)</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Blank Spike Recovery (%)</attrlabl>\n <attrdef>Spike recovery values taken from spike-amended blanks used to assess stability of the calibration curves.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>58</rdommin>\n <rdommax>102</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Matrix Spike Recovery (%)</attrlabl>\n <attrdef>Percent recovery of samples spiked with a sample with initial TDS=268 g/L</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>88</rdommin>\n <rdommax>113</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Percent of non-detects (%)</attrlabl>\n <attrdef>Number of samples containing trace element selected below detectable levels</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Median % RSD</attrlabl>\n <attrdef>Median relative standard deviation for trace element in percent</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6.8</rdommin>\n <rdommax>59</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate relative standard deviation was not found.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Range of % RSD</attrlabl>\n <attrdef>Percentage range of relative standard deviation found for an element in samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6.8-7.4</rdommin>\n <rdommax>53-58</rdommax>\n <attrunit>percent range</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate relative standard deviation was not found.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n above LOQ</attrlabl>\n <attrdef>Number of samples above limit of quantification</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6</rdommax>\n <attrunit>number of samples</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n above DL</attrlabl>\n <attrdef>Number of samples with element quantity above detectable levels</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6</rdommax>\n <attrunit>number of samples</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table S8</enttypl>\n <enttypd>Trace element concentrations in \xc2\xb5g/L for produced water samples determined using ICP-MS.</enttypd>\n <enttypds>Jubb, Aaron M.; Engle, Mark A.; Chenault, Jessica M.; Blondes, Madalyn S.; Danforth, Cloelle G.; Doolan, Colin; Gallegos, Tanya J.; Mueller, Dan; Shelton, Jenna L.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Unique Identifier</attrlabl>\n <attrdef>Identifier of produced water sample indicating collection location</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>An identifier indicating sample collection location and different samples</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICP-OES?</attrlabl>\n <attrdef>Indicates whether sample was analyzed by ICP-OES</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Sample was analyzed by ICP-OES</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>Sample was not analyzed by ICP-OES</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Reservoir Name</attrlabl>\n <attrdef>Name of formation from which produced water sample was taken</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Middle Bakken/Three Forks</edomv>\n <edomvd>Sample was collected from the Middle Bakken/Three Forks reservoir</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Eagle Ford</edomv>\n <edomvd>Sample was collected from the Eagle Ford Formation</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Marcellus</edomv>\n <edomvd>Produced water sample was collected from the Marcellus Formation</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Wolfcamp/Cline</edomv>\n <edomvd>Sample was collected from the Wolfcamp/Cline Formation</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Utica/Point Pleasant</edomv>\n <edomvd>Sample was collected from the Utica/Point Pleasant Formation</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TDS (g/L)</attrlabl>\n <attrdef>Total dissolved solids present in sample, in grams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>16.9</rdommin>\n <rdommax>370</rdommax>\n <attrunit>grams per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Al (\xc2\xb5g/L)</attrlabl>\n <attrdef>Aluminum detected in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>330</rdommin>\n <rdommax>57300</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>As (\xc2\xb5g/L)</attrlabl>\n <attrdef>Arsenic found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6.82</rdommin>\n <rdommax>108</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ba (\xc2\xb5g/L)</attrlabl>\n <attrdef>Barium found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1670</rdommin>\n <rdommax>3930000</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a > indicate the value found was greater than the listed value.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Be (\xc2\xb5g/L)</attrlabl>\n <attrdef>Beryllium found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cd (\xc2\xb5g/L)</attrlabl>\n <attrdef>Cadmium found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>51.1</rdommin>\n <rdommax>70.8</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Co (\xc2\xb5g/L)</attrlabl>\n <attrdef>Cobalt found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6.65</rdommin>\n <rdommax>89.3</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cr (\xc2\xb5g/L)</attrlabl>\n <attrdef>Chromium found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cu (\xc2\xb5g/L)</attrlabl>\n <attrdef>Copper found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>61.7</rdommin>\n <rdommax>1170</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Hg (\xc2\xb5g/L)</attrlabl>\n <attrdef>Mercury found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Mo (\xc2\xb5g/L)</attrlabl>\n <attrdef>Molybdenum found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>114</rdommin>\n <rdommax>922</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ni (\xc2\xb5g/L)</attrlabl>\n <attrdef>Nickel found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>59.6</rdommin>\n <rdommax>5380</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Pb (\xc2\xb5g/L)</attrlabl>\n <attrdef>Lead found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>20.6</rdommin>\n <rdommax>1530</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rb (\xc2\xb5g/L)</attrlabl>\n <attrdef>Rubidium found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>140</rdommin>\n <rdommax>18500</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sb (\xc2\xb5g/L)</attrlabl>\n <attrdef>Antimony found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.78</rdommin>\n <rdommax>1.78</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>U (\xc2\xb5g/L)</attrlabl>\n <attrdef>Uranium found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.301</rdommin>\n <rdommax>2.21</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>V (\xc2\xb5g/L)</attrlabl>\n <attrdef>Vanadium found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>106</rdommin>\n <rdommax>217</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Zn (\xc2\xb5g/L)</attrlabl>\n <attrdef>Zinc found in produced water sample, in micrograms per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>90.1</rdommin>\n <rdommax>96800</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Values reported with a U indicate none of the analyte was detected in the sample. Value shown is the method detection limit of the analyte multiplied by the dilution factor(s).</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table S9</enttypl>\n <enttypd>ICP-MS results for USGS T-193 and T-225 trace element reference materials.</enttypd>\n <enttypds>Jubb, Aaron M.; Engle, Mark A.; Chenault, Jessica M.; Blondes, Madalyn S.; Danforth, Cloelle G.; Doolan, Colin; Gallegos, Tanya J.; Mueller, Dan; Shelton, Jenna L.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Trace Element</attrlabl>\n <attrdef>Trace elements measured within samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Periodic table</codesetn>\n <codesets>International Union of Pure and Applied Chemistry (https://iupac.org/what-we-do/periodic-table-of-elements/)</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>T-193 MPV (\xc2\xb5g/L)</attrlabl>\n <attrdef>Most probable value for T-193 trace elements based on reported values from the manufacturer</attrdef>\n <attrdefs>USGS Office of Water Quality (https://bqs.usgs.gov/srs_study/reports/index.php)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.29 \xc2\xb1 0.03</rdommin>\n <rdommax>45.0 \xc2\xb1 3.19</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Not provided - values were not provided by the manufacturer</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Measured T-193 (\xc2\xb5g/L)</attrlabl>\n <attrdef>T-193 trace element values taken from measurements run during this investigation</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.57</rdommin>\n <rdommax>47.5</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Percent Deviation (%)</attrlabl>\n <attrdef>Percent deviation of measurements taken on T-193 during this investigation</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-4.9</rdommin>\n <rdommax>49.1</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate percent deviation values were not found</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Within 2 F pseudosigma of MPV?</attrlabl>\n <attrdef>Indicates whether the measured value is within 2 F pseudosigma of the reported MPV</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>yes</edomv>\n <edomvd>Value is within 2 F pseudosigma of the reported MPV</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>no</edomv>\n <edomvd>Value is not within 2 F pseudosigma of the reported MPV</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate initial MPV values were not provided by the original manufacturer</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>T-225 MPV (\xc2\xb5g/L)</attrlabl>\n <attrdef>Most probable value for T-225 trace elements based on reported values from the manufacturer</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.786 \xc2\xb1 0.189</rdommin>\n <rdommax>245 \xc2\xb1 18.4</rdommax>\n <attrunit>Micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Not provided - indicates analyte value was not provided by the original manufacturer</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Measured T-225 (\xc2\xb5g/L)</attrlabl>\n <attrdef>T-225 trace element values taken from measurements run during this investigation</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.5</rdommin>\n <rdommax>260</rdommax>\n <attrunit>micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Percent Deviation (%)</attrlabl>\n <attrdef>Percent deviation of measurements taken on T-225 during this investigation</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-17.3</rdommin>\n <rdommax>22</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate percent deviation values were not found</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Within 2 F pseudosigma of MPV?</attrlabl>\n <attrdef>Indicates whether the measured value is within 2 F pseudosigma of the reported MPV</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>yes</edomv>\n <edomvd>Value is within 2 F pseudosigma of the reported MPV</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>no</edomv>\n <edomvd>Value is not within 2 F pseudosigma of the reported MPV</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Blank (-) values indicate initial MPV values were not provided by the original manufacturer</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table S10</enttypl>\n <enttypd>Jubb, Aaron M.; Engle, Mark A.; Chenault, Jessica M.; Blondes, Madalyn S.; Danforth, Cloelle G.; Doolan, Colin; Gallegos, Tanya J.; Mueller, Dan; Shelton, Jenna L.</enttypd>\n <enttypds>Summary of ICP-MS results for matrix spikes from both prediluted and minimally diluted sample sets.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Trace Element</attrlabl>\n <attrdef>Trace elements found within samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Periodic table</codesetn>\n <codesets>International Union of Pure and Applied Chemistry (https://iupac.org/what-we-do/periodic-table-of-elements/)</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Spike Recovery Range (%)</attrlabl>\n <attrdef>Recovery of spiked samples</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>18-156</rdommin>\n <rdommax>191-626</rdommax>\n <attrunit>Percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Median Spike Recovery (%)</attrlabl>\n <attrdef>Median recovery from samples in the range of recoveries</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>49</rdommin>\n <rdommax>244</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Percent of spikes above MDL (%)</attrlabl>\n <attrdef>Percentage of spikes found above the method detection limit.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>27</rdommin>\n <rdommax>100</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n <techpreq>This file contains images in a CSV format. The user must have software capable of opening and viewing CSV files.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20200819</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Eric A Morrissey</cntper>\n <cntorg>NORTHEAST REGION: EASTERN ENERGY RESOURCES SC</cntorg>\n </cntperp>\n <cntpos>Info Tech Spec (Internet)</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 956, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>703-648-6409</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2021-01-28Start Date2015-05-01End Date2016-08-31
## Citation
Hyzy, B., Russell, R.E., and Ford, W.M., 2021, Roost selection for Northern Long-eared Bats (Myotis septentrionalis) in Wisconsin: U.S. Geological Survey data release, https://doi.org/10.5066/P9YH1668.
## Summary
These data represent characteristics of trees used by Northern long-eared bats as roosts at three sites in Wisconsin, as well as characteristics of surrounding trees to compare characteristics of used versus available trees.
## Summary
These data represent characteristics of trees used by Northern long-eared bats as roosts at three sites in Wisconsin, as well as characteristics of surrounding trees to compare characteristics of used versus available trees.
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[Robin E Russell](/catalog/catalogParty/show?partyId=23390)
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[Brenna Hyzy](/catalog/catalogParty/show?partyId=Brenna+Hyzy),
[Robin E Russell](/catalog/catalogParty/show?partyId=23390),
[William M Ford](/catalog/catalogParty/show?partyId=22845)
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| All\_trees\_IPDS.csv | | 14.71 KB | text/csv |
| Bat\_Networks\_IPDS.csv | | 7.53 KB | text/csv |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Hyzy BA, Russell RE, Silvis A, Ford WM, Riddle J, Russell K (2020) Investigating maternity roost selection by northern long-eared bats at three sites in Wisconsin. Endang Species Res 41:55-65. | [https://doi.org/10.3354/esr01004](https://doi.org/10.3354/esr01004 "https://doi.org/10.3354/esr01004") |
## Purpose
The data were collected to identify what kinds of trees Northern Long-eared Bats use for roosting during the day.
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## Additional Information
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| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9YH1668 |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Brenna Hyzy</origin>\n <origin>Robin E. Russell</origin>\n <origin>William M. Ford</origin>\n <pubdate>20210128</pubdate>\n <title>Roost selection for Northern Long-eared Bats (Myotis septentrionalis) in Wisconsin</title>\n <geoform>spreadsheet</geoform>\n <onlink>https://doi.org/10.5066/P9YH1668</onlink>\n <lworkcit>\n <citeinfo>\n <origin>BA Hyzy</origin>\n <origin>RE Russell</origin>\n <origin>A Silvis</origin>\n <origin>WM Ford</origin>\n <origin>J Riddle</origin>\n <origin>K Russell</origin>\n <pubdate>20200116</pubdate>\n <title>Investigating maternity roost selection by northern long-eared bats at three sites in Wisconsin</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Endangered Species Research</sername>\n <issue>vol. 41</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Inter-Research Science Center</publish>\n </pubinfo>\n <othercit>ppg. 55-65</othercit>\n <onlink>https://doi.org/10.3354/esr01004</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>These data represent characteristics of trees used by Northern long-eared bats as roosts at three sites in Wisconsin, as well as characteristics of surrounding trees to compare characteristics of used versus available trees.</abstract>\n <purpose>The data were collected to identify what kinds of trees Northern Long-eared Bats use for roosting during the day.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20150501</begdate>\n <enddate>20160831</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-92.9663</westbc>\n <eastbc>-86.7920</eastbc>\n <northbc>47.7245</northbc>\n <southbc>42.4721</southbc>\n </bounding>\n <descgeog>Wisconsin</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>resource selection functions</themekey>\n <themekey>northern-long eared bats</themekey>\n <themekey>Wisconsin</themekey>\n <themekey>Myotis septentrionalis</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>white-nose syndrome</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5cc0a681e4b09b8c0b725623</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>Wisconsin</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Robin E Russell</cntper>\n <cntorg>U.S. Geological Survey, Midwest Region</cntorg>\n </cntperp>\n <cntpos>Research Statistician</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>6006 Schroeder Road</address>\n <city>Madison</city>\n <state>WI</state>\n <postal>53711</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>608-270-2474</cntvoice>\n <cntfax>608-270-2415</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <taxonomy>\n <keywtax>\n <taxonkt>None</taxonkt>\n <taxonkey>Myotis septentrionalis</taxonkey>\n </keywtax>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Deuterostomia</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Chordata</taxonrv>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Vertebrata</taxonrv>\n <taxoncl>\n <taxonrn>Infraphylum</taxonrn>\n <taxonrv>Gnathostomata</taxonrv>\n <taxoncl>\n <taxonrn>Superclass</taxonrn>\n <taxonrv>Tetrapoda</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Mammalia</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Theria</taxonrv>\n <taxoncl>\n <taxonrn>Infraclass</taxonrn>\n <taxonrv>Eutheria</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Chiroptera</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Yangochiroptera</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Vespertilionoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Vespertilionidae</taxonrv>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Myotinae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Myotis</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Myotis septentrionalis</taxonrv>\n <common>TSN: 180000</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxonomy>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal tests.</attraccr>\n </attracc>\n <logic>No formal tests.</logic>\n <complete>Data does not contain the GPS locations of the roost trees.</complete>\n <lineage>\n <procstep>\n <procdesc>We conducted nightly bat surveys using mist nets (Bat Conservation and Management Inc., Carlisle, PA, USA) to capture northern long-eared bats at each of the maternity roost sites (Governor Dodge, Sandhill and Black River Forest). We captured bats between May and July of 2015 and 2016 to target females during the maternity season. Mist net deployment was dependent on the site being netted, but generally consisted of one or two 6-12 m mesh nets set up across a forest corridor on a pulley system between two aluminum poles (Silvis et al. 2012; Owen et al. 2002). Netting began on the night of arrival at each site and concluded once a sufficient sample size of female northern long-eared bats was captured (n = 15 at each site) or after three consecutive weeks of netting. Nets were assembled and opened before sunset (approximately 20:00). Netting continued until capture rates decreased to one bat every hour or until 00:00. For every bat captured, we recorded sex, age (by degree of epiphyseal fusion), mass (g), right forearm length (RFA), and reproductive condition (Silvis et al. 2012). Unique lipped aluminum identification bands were attached on the left forearms of all female bats and right forearms of all male bats according to WDNR protocol. We also removed a small section of fur and affixed radio transmitters (LB-2X, 0.27g: Holohil Systems Ltd., Woodlawn, ON) between the scapulae of female northern long-eared bats using surgical cement (Perma-Type; Plainville, CT, USA)(Silvis et al., 2012). The <6% of pre-attachment body weight (including transmitter and surgical glue) rule was followed when tagging individual females as required by the federal permit. Within 30 minutes of capture, bats were released near net sites. All field and handling procedures followed the guidelines of the Wisconsin Endangered and Threatened Species Permit #1005, the Federal Fish and Wildlife - Native Threatened Species Recovery permit #TE86141B-0, and were approved by UWSP IACUC #2015.04.05. Following federal protocol, after each capture night all nets and equipment were decontaminated using Lysol wipes and a 1:10 bleach solution to prevent any unintentional spread of fungal pathogen between study sites.</procdesc>\n <procdate>20150501</procdate>\n </procstep>\n <procstep>\n <procdesc>Each day following a successful capture, we used TRX-2000NB receivers (Wildlife Materials Inc., Murphysboro, IL, USA) and folding Yagi antennas (Models F151-3FB and F152-3FB) to locate transmitted females at the current day roost tree. Subsequently, all female northern long-eared bats were tracked daily to each day roost tree for the life of the transmitter or until it was dropped from the bat. A Garmin eTrex-10 handheld global positioning system was used to record all roost trees locations. Once a roost tree was located, and if the tree itself was nettable (roost entrance within mist net height, no obstructing trunk branches), nets were strung up around the tree in a circular fashion to obstruct the roost entrance and capture as many individuals within the colony as possible. Netting at individual roost trees never exceeded 2-3 nights in a row to reduce potential stress on the colony. At each confirmed roost tree, vegetative data collection was based on the methods found in Silvis et al. (2012) and included roost tree species, diameter at breast height (DBH), total tree height (m), roost entrance height (m), decay class (1: alive, 2: declining, 3: dead, 4: loose bark, 5: clean, 6: broken top, 7: stump), canopy class (1: emergent, 2: dominant, 3: mid-story, 4: suppressed), percent canopy cover (average of four densitometer readings in each cardinal direction), percent bark remaining, and basal area (factor 10).</procdesc>\n <procdate>20150501</procdate>\n </procstep>\n <procstep>\n <procdesc>The selection and measurement of neighboring trees followed the 4 point-quarter system (Silvis et al. 2012). For each of the four potential roost trees selected in each cardinal direction quadrant, we recorded tree species, distance to roost tree (m), DBH, total tree height (m), decay class, canopy class, and whether or not roosting opportunities existed (bark/cavity).</procdesc>\n <procdate>20150501</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>All_trees_IPDS.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Roost</attrlabl>\n <attrdef>was the tree identified as a roost tree (i.e. was a radio tagged bat tracked back to the tree during the day)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>yes</edomv>\n <edomvd>Tree identified as a roost tree</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>no</edomv>\n <edomvd>Tree not identified as a roost tree</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Tree Species</attrlabl>\n <attrdef>species of tree</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Aspen</edomv>\n <edomvd>Trembling aspen (Populus tremuloides)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Silver Maple</edomv>\n <edomvd>silver maple (Acer saccharinum)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Red Maple</edomv>\n <edomvd>Red maple (Acer rubrum)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Maple spp (unidentified)</edomv>\n <edomvd>Maple tree of unidentified species</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Red Oak</edomv>\n <edomvd>Red oak (Quercus rubra)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Burr Oak</edomv>\n <edomvd>Burr oak (Quercus macrocarpa)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>White Oak</edomv>\n <edomvd>White oak (Quercus alba)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Pin Oak</edomv>\n <edomvd>Pin oak (Quercus palustris)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Oak species (unidentified)</edomv>\n <edomvd>Oak tree of unidentified species</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Black Walnut</edomv>\n <edomvd>Black walnut (Juglans nigra)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Unidentified (snag)</edomv>\n <edomvd>unidentified standing, dead or dying tree</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Black Locust</edomv>\n <edomvd>Black locust (Robinia pseudoacacia)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Basswood</edomv>\n <edomvd>Basswood (Tilia americana)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ash</edomv>\n <edomvd>White ash (Fraxinus americana</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Shagbark Hickory</edomv>\n <edomvd>Shagbark hickory (Carya ovata)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Box Elder</edomv>\n <edomvd>Box elder (Acer negundo)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Red Pine</edomv>\n <edomvd>Red pine (Pinus resinosa)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>White Pine</edomv>\n <edomvd>White pine (Pinus strobus)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DBH (cm)</attrlabl>\n <attrdef>diameter at breast height in cm</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8.5</rdommin>\n <rdommax>78.0</rdommax>\n <attrunit>centimeter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Tree Height (m)</attrlabl>\n <attrdef>estimated height of tree in meters</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5.5</rdommin>\n <rdommax>100.0</rdommax>\n <attrunit>meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Decay Stage</attrlabl>\n <attrdef>description of decay stage of tree</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>2</edomv>\n <edomvd>declining</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>alive</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>6</edomv>\n <edomvd>broken top</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>5</edomv>\n <edomvd>clean</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>4</edomv>\n <edomvd>loose bark</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>3</edomv>\n <edomvd>dead</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>7</edomv>\n <edomvd>stump</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Canopy Class</attrlabl>\n <attrdef>description of canopy</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Dominant</edomv>\n <edomvd>crown of the tree is one of the dominant in the stand</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Supressed</edomv>\n <edomvd>receives no direct light and is completely overshadowed by all other trees</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Midstory</edomv>\n <edomvd>a mature tree that takes up most of the general canopy but is overshadowed by dominant trees</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Emergent</edomv>\n <edomvd>a young tree not yet full grown</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>year</attrlabl>\n <attrdef>year data collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2015</rdommin>\n <rdommax>2016</rdommax>\n <attrunit>year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>site</attrlabl>\n <attrdef>site name</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Sandhills Wildlife Area</edomv>\n <edomvd>Sandhills Wildlife Area, Wisconsin</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Black River Forest</edomv>\n <edomvd>Black River Forest, Wisconsin</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Governor Dodge State Park</edomv>\n <edomvd>Governor Dodge State Park, Wisconsin</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Bat_Networks_IPDS.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>site</attrlabl>\n <attrdef>site name</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Governor Dodge State Park</edomv>\n <edomvd>Governor Dodge State Park, Wisconsin</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Sandhills Wildlife Area</edomv>\n <edomvd>Sandhills Wildlife Area, Wisconsin</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Black River State Forest</edomv>\n <edomvd>Black River State Forest, Wisconsin</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>tree ID</attrlabl>\n <attrdef>a unique identifier for each tree</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>numeric identifier string</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>year</attrlabl>\n <attrdef>year data collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2015</rdommin>\n <rdommax>2016</rdommax>\n <attrunit>year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>bat ID</attrlabl>\n <attrdef>a unique identifier for each bat</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>numeric identifier string</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>tree spp</attrlabl>\n <attrdef>species of tree</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Black Walnut</edomv>\n <edomvd>Black walnut (Juglans nigra)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Oak species (unidentified) snag</edomv>\n <edomvd>unidentified standing, dead or dying oak</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Red Oak</edomv>\n <edomvd>Red oak (Quercus rubra)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Black Locust</edomv>\n <edomvd>Black locust (Robinia pseudoacacia)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Basswood</edomv>\n <edomvd>Basswood (Tilia americana)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Aspen snag</edomv>\n <edomvd>standing, dead or dying aspen</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Aspen</edomv>\n <edomvd>Trembling aspen (Populus tremuloides)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Red Maple</edomv>\n <edomvd>Red maple (Acer rubrum)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Pin Oak</edomv>\n <edomvd>Pin oak (Quercus palustris)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>White Oak</edomv>\n <edomvd>White oak (Quercus alba)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Oak species (unidentified)</edomv>\n <edomvd>Oak tree of unidentified species</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DBH (cm)</attrlabl>\n <attrdef>diameter at breast height in cm</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>13.0</rdommin>\n <rdommax>59.75</rdommax>\n <attrunit>centimeter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Roost Type</attrlabl>\n <attrdef>Description of roost</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>cavity</edomv>\n <edomvd>a hole created in the tree</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>bark</edomv>\n <edomvd>under loose bark</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>unknown</edomv>\n <edomvd>roost type not known</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>roost height (m)</attrlabl>\n <attrdef>estimated height of roost in meters</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>unknown</edomv>\n <edomvd>roost height unknown</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>65</rdommax>\n <attrunit>meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Decay Stage</attrlabl>\n <attrdef>description of decay stage of tree</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>alive</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>3</edomv>\n <edomvd>dead</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2</edomv>\n <edomvd>declining</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>4</edomv>\n <edomvd>loose bark</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>6</edomv>\n <edomvd>broken top</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>5</edomv>\n <edomvd>clean</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Canopy Class</attrlabl>\n <attrdef>description of canopy</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Dominant</edomv>\n <edomvd>crown of the tree is one of the dominant in the stand</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Suppressed</edomv>\n <edomvd>receives no direct light and is completely overshadowed by all other trees</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Emergent</edomv>\n <edomvd>a young tree not yet full grown</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Midstory</edomv>\n <edomvd>a mature tree that takes up most of the general canopy but is overshadowed by dominant trees</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>%bark</attrlabl>\n <attrdef>Percent of Bark remaining on tree (estimated)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10</rdommin>\n <rdommax>100</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9YH1668</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20210128</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Robin E Russell</cntper>\n <cntorg>U.S. Geological Survey, Midwest Region</cntorg>\n </cntperp>\n <cntpos>Research Statistician</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>6006 Schroeder Road</address>\n <city>Madison</city>\n <state>WI</state>\n <postal>53711</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>608-270-2474</cntvoice>\n <cntfax>608-270-2415</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
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## Dates
Publication Date2016-03-17Time Period2010-04-10
## Citation
Thatcher, C.A., Danielson, J.J., Gesch, D.B. and Worstell, B.B., 2016, Delineation of Water Bodies in Emergent Wetlands in Coastal New Jersey: U.S. Geological Survey data release, https://dx.doi.org/10.5066/F7M043J4.
## Summary
Hurricane Sandy, which made landfall on October 29, 2012, near Brigantine, New Jersey, had a significant impact on coastal New Jersey, including the large areas of emergent wetlands at Edwin B. Forsythe National Wildlife Refuge (NWR) and the Barnegat Bay region. In response to Hurricane Sandy, U.S. Geological Survey (USGS) has undertaken several projects to assess the impacts of the storm and provide data and scientific analysis to support recovery and restoration efforts. As part of these efforts, the USGS Coastal and Marine Geology Program (CMGP) sponsored Coastal National Elevation Database (CoNED) Applications Project in collaboration with the USGS National Geospatial Program (NGP), and National Oceanic and Atmospheric Administration \[...\]
## Summary
Hurricane Sandy, which made landfall on October 29, 2012, near Brigantine, New Jersey, had a significant impact on coastal New Jersey, including the large areas of emergent wetlands at Edwin B. Forsythe National Wildlife Refuge (NWR) and the Barnegat Bay region. In response to Hurricane Sandy, U.S. Geological Survey (USGS) has undertaken several projects to assess the impacts of the storm and provide data and scientific analysis to support recovery and restoration efforts. As part of these efforts, the USGS Coastal and Marine Geology Program (CMGP) sponsored Coastal National Elevation Database (CoNED) Applications Project in collaboration with the USGS National Geospatial Program (NGP), and National Oceanic and Atmospheric Administration (NOAA) developed a three-dimensional (3D) 1-meter topobathymetric elevation models (TBDEMs) for the New Jersey/Delaware sub-region including the Delaware Estuary and adjacent coastline. The integrated elevation data are extending the USGS 3D Elevation Program (3DEP) Elevation Dataset within the Hurricane Sandy impact zone to enable the widespread creation of flood, hurricane, and sea-level rise inundation hazard maps. More information on the USGS CoNED project is available at http://topotools.cr.usgs.gov/coned/index.php. The CoNED Applications Project team is also developing new applications for pre- and post-Hurricane Sandy regional lidar datasets for mapping the spatial extent of coastal wetlands. These new methods have been developed to derive detailed land/water polygons for an area in coastal New Jersey, which is dominated by a complex configuration of emergent wetlands and open water. Using pre- and post-Hurricane Sandy lidar data, repeatable geospatial methods were used to map the land/water spatial configuration at a regional scale to complement wetland mapping that uses traditional methods such as photointerpretation and image classification.
## Contacts
Point of Contact
:
[U.S. Geological Survey, Southeast Region](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey%2C+Southeast+Region)
Originator
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey),
[Cindy Thatcher](/catalog/catalogParty/show?partyId=Cindy+Thatcher),
[Jeffrey Danielson](/catalog/catalogParty/show?partyId=Jeffrey+Danielson),
[Dean Gesch](/catalog/catalogParty/show?partyId=Dean+Gesch),
[Bruce Worstell](/catalog/catalogParty/show?partyId=Bruce+Worstell)
Publisher
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[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
Distributor
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| Water\_Bodies\_Wetlands\_Coastal\_NJ\_2010.CPG | | 5 Bytes | text/plain |
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## Purpose
Lidar offers high spatial resolution (i.e. < 1 meter point spacing) and precise elevation data that can be used to efficiently map the land/water interface. Pre- and post-Hurricane Sandy lidar data were processed and analyzed to map coastal wetland changes over the extent of Forsythe NWR and Barnegat Bay. The resulting data can be used to visualize and quantify changes in wetland morphology such as erosion, wetland inundation, internal ponding and marsh migration across the region. The analyses are based on airborne lidar acquired in 2010 and 2014.
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## Tags
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- [Elevation](/catalog/items?q=&filter=tags%3DElevation "Elevation (Elevation, Theme, ISO 19115 Topic Category)")
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## Provenance
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## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | 10.5066/F7M043J4 |
### ArcGIS Service Definition Extension
| boundingBox | | minY | 39.3242563593035 |
| minX | -74.599263039343 |
| maxY | 40.0850306617453 |
| maxX | -74.0170945484234 | |
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| files | | name | Water\_Bodies\_Wetlands\_Coastal\_NJ\_2010.sd |
| contentType | x-gis/x-arcgis-service-def |
| pathOnDisk | \_\_disk\_\_c6/32/96/c63296ee3056c06c998b0996f584f5c12411ec5b |
| size | 151639659 |
| dateUploaded | Thu Nov 03 13:14:54 MDT 2016 |
| originalMetadata | true |
| checksum | | value | 136f0de2cff2bdc653b22d91515aa753 |
| type | MD5 | | |
| name | Water\_Bodies\_Wetlands\_Coastal\_NJ\_2010.sd |
| processingState | success |
| serviceId | 580e7704e4b0f497e794b928 |
| servicePath | 580e7704e4b0f497e794b928 |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <origin>Cindy Thatcher</origin>\n <origin>Jeffrey Danielson</origin>\n <origin>Dean Gesch</origin>\n <origin>Bruce Worstell</origin>\n <pubdate>20160317</pubdate>\n <title>Delineation of Water Bodies in Emergent Wetlands in Coastal New Jersey</title>\n <geoform>Vector Digital Data Set (Polygon)</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Data Release</sername>\n <issue>doi:10.5066/F7M043J4</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://dx.doi.org/10.5066/F7M043J4</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Hurricane Sandy, which made landfall on October 29, 2012, near Brigantine, New Jersey, had a significant impact on coastal New Jersey, including the large areas of emergent wetlands at Edwin B. Forsythe National Wildlife Refuge (NWR) and the Barnegat Bay region. In response to Hurricane Sandy, U.S. Geological Survey (USGS) has undertaken several projects to assess the impacts of the storm and provide data and scientific analysis to support recovery and restoration efforts. As part of these efforts, the USGS Coastal and Marine Geology Program (CMGP) sponsored Coastal National Elevation Database (CoNED) Applications Project in collaboration with the USGS National Geospatial Program (NGP), and National Oceanic and Atmospheric Administration (NOAA) developed a three-dimensional (3D) 1-meter topobathymetric elevation models (TBDEMs) for the New Jersey/Delaware sub-region including the Delaware Estuary and adjacent coastline. The integrated elevation data are extending the USGS 3D Elevation Program (3DEP) Elevation Dataset within the Hurricane Sandy impact zone to enable the widespread creation of flood, hurricane, and sea-level rise inundation hazard maps. More information on the USGS CoNED project is available at http://topotools.cr.usgs.gov/coned/index.php. \nThe CoNED Applications Project team is also developing new applications for pre- and post-Hurricane Sandy regional lidar datasets for mapping the spatial extent of coastal wetlands. These new methods have been developed to derive detailed land/water polygons for an area in coastal New Jersey, which is dominated by a complex configuration of emergent wetlands and open water. Using pre- and post-Hurricane Sandy lidar data, repeatable geospatial methods were used to map the land/water spatial configuration at a regional scale to complement wetland mapping that uses traditional methods such as photointerpretation and image classification.</abstract>\n <purpose>Lidar offers high spatial resolution (i.e. < 1 meter point spacing) and precise elevation data that can be used to efficiently map the land/water interface. Pre- and post-Hurricane Sandy lidar data were processed and analyzed to map coastal wetland changes over the extent of Forsythe NWR and Barnegat Bay. The resulting data can be used to visualize and quantify changes in wetland morphology such as erosion, wetland inundation, internal ponding and marsh migration across the region.\nThe analyses are based on airborne lidar acquired in 2010 and 2014.</purpose>\n <supplinf>References:\nNOAA, 2011. NJ2010_ARRA_3counties_m4868_metadata.xml, available at ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/4868/.\nNOAA, 2015a. 2014_NGS_postSandy_topobathy, available at ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12b/data/4800. \nNOAA, 2015b. NOAA C-CAP National Wetland Potential, available at https://catalog.data.gov/dataset/noaa-c-cap-national-wetland-potential. \nRiley, S.J., DeGloria, S.D., and Elliot, R. 1999. A terrain ruggedness index that quantifies topographic heterogeneity. Intermountain Journal of Sciences, Vol. 5, No1-4, p 23-27.\nU.S. Fish & Wildlife Service, 2016. National Wetlands Inventory, available at http://www.fws.gov/wetlands/</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>20100410</caldate>\n </sngdate>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-74.59926304</westbc>\n <eastbc>-74.017094549</eastbc>\n <northbc>40.085030662</northbc>\n <southbc>39.324256359</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>LIDAR</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>wetlands</themekey>\n <themekey>National Wetlands Inventory</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>Elevation</themekey>\n <themekey>Oceans</themekey>\n <themekey>Environment</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:580e7704e4b0f497e794b928</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>New Jersey</placekey>\n </place>\n <place>\n <placekt>None</placekt>\n <placekey>Edwin B. Forsythe National Wildlife Refuge</placekey>\n <placekey>Barnegat Bay</placekey>\n </place>\n </keywords>\n <accconst>None</accconst>\n <useconst>The U.S. Geological Survey requests to be acknowledged as originator of the data in future products or derivative research.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey, Southeast Region</cntorg>\n <cntper>Cindy Thatcher</cntper>\n </cntorgp>\n <cntpos>Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 521, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n </cntaddr>\n <cntvoice>703-648-5122</cntvoice>\n <cntfax>703-648-4603</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2 (Build 3552) Service Pack N/A (Build N/A)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Fish and Wildlife Service</origin>\n <pubdate>201209</pubdate>\n <title>National Wetlands Inventory- Wetland Polygons</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Washington DC</pubplace>\n <publish>U.S. Fish and Wildlife Service</publish>\n </pubinfo>\n <onlink>http://www.fws.gov/wetlands/index.html</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2008</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>National Wetlands Inventory</srccitea>\n <srccontr>National Wetlands Inventory wetland classes define all the wetland/land cover classes in this dataset, with the exception of water bodies within emergent wetlands.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>NOAA National Ocean Service, Office for Coastal Management</origin>\n <pubdate>20110215</pubdate>\n <title>NOAA NJ 2010 ARRA 3 Counties Lidar</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Charleston, SC</pubplace>\n <publish>NOAA</publish>\n </pubinfo>\n <onlink>ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/4868</onlink>\n <onlink>https://coast.noaa.gov/dataviewer</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20100401</begdate>\n <enddate>20100410</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>NOAA NJ 2010 Lidar</srccitea>\n <srccontr>2010 lidar point cloud was used to delineate water bodies in emergent wetlands in 2010</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>The analyses are based on airborne lidar acquired in 2010 and 2014. The April 2010 lidar survey is known as the ARRA New Jersey 3 counties survey for Federal Emergency Management Agency (FEMA) RiskMAP, which covers Atlantic, Ocean and Monmouth Counties in New Jersey. The lidar data had a nominal point spacing no greater than 1 m, with a vertical accuracy of at least 18.5 cm root mean square error (RMSEz; NOAA, 2011). A post-Hurricane Sandy lidar survey was conducted in 2014 by the NOAA National Geodetic Survey (NGS), covering the Atlantic Coast from South Carolina to New York. The majority of the lidar tiles in the New Jersey study area were collected from February-May 2014, with a small number of tiles at the north end of the study area collected in December 2012. The vertical accuracy is at least 12.5 cm RMSEz (NOAA, 2015a).</procdesc>\n <procdate>2016</procdate>\n </procstep>\n <procstep>\n <procdesc>The extent of water bodies in the emergent wetlands is based on a combination of lidar point cloud voids analysis, topographic roughness index calculations, and a minimum elevation threshold. A Python script for ArcGIS was developed that contains the geoprocessing steps used to derive a vector polygon shapefile delineating water bodies. First, a digital elevation model (DEM) was derived from the lidar points classified as ground. The ground points were gridded using the las dataset to raster tool in ArcGIS, with the cell assignment parameter set to average, and the void fill method set to simple at a cell size of 1-meter. All voids (no data cells in the raster) were extracted from the DEM as potential water bodies, because water tends to absorb the laser pulse rather than reflecting it back to the lidar instrument. Next, elevation values less than 0 m were extracted from the DEM and combined with the voids as a binary raster. The DEM was also analyzed to extract flat areas, which often correspond to water bodies. To identify flat areas, TRI was calculated from the DEM, using methods described by Riley and others (1999), and a threshold value of 0.14 was applied to the TRI raster to identify flat areas. Next, a series of geoprocessing tools were used in ArcGIS to combine the voids, areas below the 0 elevation threshold and flat areas, convert the raster to polygons, and apply smoothing and aggregate functions to derive the water body boundaries.</procdesc>\n <procdate>2016</procdate>\n </procstep>\n <procstep>\n <procdesc>Because other landscape features in the DEM are also flat, such as places where dense vegetation (forest) and buildings have been removed from the point cloud, ancillary geospatial layers were used to remove erroneous polygons in forests and urban areas. A forest and marsh map was derived from the lidar point cloud by calculating the height difference between the first surface and bare earth. Next, the density of the lidar point cloud within a 3m pixel (calculated using a moving window analysis) combined with the NOAA Coastal Change Analysis Program (C-CAP) National Wetland Potential map was used to delineate forest and marsh areas. The wetland potential map is a probability rating that provides the wetland likelihood at a specific location, based on soils, elevation, existing wetland inventories, satellite imagery, and other factors (NOAA, 2015b). The resulting forest and marsh map was used as a mask to remove water bodies located within the forest class. Next, the remaining water bodies were combined with the 2008 National Wetlands Inventory (NWI) data for New Jersey (USFWS, 2016), which is a detailed wetlands map digitized through photointerpretation of 2008 National Agriculture Imagery Program digital orthophotos. The NWI map was used to remove water body polygons that were not within the estuarine and marine wetland class in the NWI map. After this step, the remaining water boundary polygons are located only in emergent herbaceous marsh.</procdesc>\n <procdate>2016</procdate>\n </procstep>\n <procstep>\n <procdesc>The minimum mapping unit for the water body polygons is 300 square meters. All water polygons smaller than this size were removed from the dataset.</procdesc>\n <procdate>2016</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Vector</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>G-polygon</sdtstype>\n <ptvctcnt>16210</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <gridsys>\n <gridsysn>Universal Transverse Mercator</gridsysn>\n <utm>\n <utmzone>18</utmzone>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-75.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000.0</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </utm>\n </gridsys>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.6096</absres>\n <ordres>0.6096</ordres>\n </coordrep>\n <plandu>Meter</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D_North_American_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Attribute Table</enttypl>\n <enttypd>Table containing attribute information associated with the data set.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>WETLAND_TY</attrlabl>\n <attrdef>National Wetlands Inventory wetland type</attrdef>\n <attrdefs>USFWS</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Estuarine and Marine Deepwater</edomv>\n <edomvd>Open water estuary, bay, sound, open ocean</edomvd>\n <edomvds>USFWS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Estuarine and Marine Wetland</edomv>\n <edomvd>Vegetated and non-vegetated brackish and saltwater marsh, shrubs, beach, bar, shoal or flat</edomvd>\n <edomvds>USFWS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Freshwater Emergent Wetland</edomv>\n <edomvd>Herbaceous marsh, fen, swale and wet meadow</edomvd>\n <edomvds>USFWS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Freshwater Forested/Shrub Wetland</edomv>\n <edomvd>Forested swamp or wetland shrub bog or wetland</edomvd>\n <edomvds>USFWS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Freshwater Pond</edomv>\n <edomvd>Oibd</edomvd>\n <edomvds>USFWS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Lake</edomv>\n <edomvd>Lake or reservoir basin</edomvd>\n <edomvds>USFWS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Not wetland</edomv>\n <edomvd>Uplands or other non-wetland category</edomvd>\n <edomvds>USFWS, USGS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Riverine</edomv>\n <edomvd>River or stream channel</edomvd>\n <edomvds>USFWS</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TRI_NWI</attrlabl>\n <attrdef>National Wetlands Inventory wetland type, updated with lidar-based analysis of wetland land/water extent.\nThere are three new wetland class types not present in the original NWI data:\nNWI=water, TRI=land: This class is usually found at the edges of water bodies where the lidar analysis and NWI do not agree, or in narrow channels where the lidar analysis failed to correctly identify water.\nNWI- not wetland, TRI= water: This class is usually building footprints that are very close to the shoreline and were incorrectly classified as water during the lidar analysis.\nTRI water: Defined as water by the lidar analysis, but classified as emergent wetland in NWI.</attrdef>\n <attrdefs>USFWS, USGS</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Estuarine and Marine Wetland</edomv>\n <edomvd>Vegetated and non-vegetated brackish and saltwater marsh, shrubs, beach, bar, shoal or flat</edomvd>\n <edomvds>USFWS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Freshwater Emergent Wetland</edomv>\n <edomvd>Herbaceous marsh, fen, swale and wet meadow</edomvd>\n <edomvds>USFWS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Freshwater Forested/Shrub Wetland</edomv>\n <edomvd>Forested swamp or wetland shrub bog or wetland</edomvd>\n <edomvds>USFWS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Not wetland</edomv>\n <edomvd>Upland or other non-wetland class</edomvd>\n <edomvds>USFWS, USGS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NWI= water, TRI= land</edomv>\n <edomvd>This water class is usually found at the edges of water bodies where the lidar analysis and NWI do not agree, or in narrow channels where the lidar analysis failed to correctly identify water.</edomvd>\n <edomvds>USGS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NWI=not wetland, TRI=water</edomv>\n <edomvd>This land class is usually building footprints that are very close to the shoreline and were incorrectly classified as water during the lidar analysis.</edomvd>\n <edomvds>USGS</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>TRI water</edomv>\n <edomvd>This water class is defined as water by the lidar analysis, but classified as emergent wetland in NWI.</edomvd>\n <edomvds>USGS</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>landwater</attrlabl>\n <attrdef>landwater attribute: \n0=l and\n1= water</attrdef>\n <attrdefs>USGS</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1</rdommax>\n <attrunit>not applicable</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>sq_meters</attrlabl>\n <attrdef>Area of polygon</attrdef>\n <attrdefs>ESRI</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.000219713870585</rdommin>\n <rdommax>92754848.7479</rdommax>\n <attrunit>square meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NWI_code</attrlabl>\n <attrdef>National Wetlands Inventory wetland code</attrdef>\n <attrdefs>USFWS</attrdefs>\n <attrdomv>\n <udom>The wetland classification codes are a series of letter and number codes that have been developed to adapt the national wetland classification system to map form. These alpha-numeric codes correspond to the classification nomenclature that best describes the habitat. (for example, PFO1A) \nThe Wetland Code Interpreter is a tool that will instantly provide the detailed habitat descriptions for an area represented by the wetland classification code. Enter a wetland area's code into the interpreter and obtain the classification of that wetland area as defined in Cowardin and others (1979). \nSee: https://www.fws.gov/wetlands/data/Wetland-Codes.html</udom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>This digital publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.\nMetadata Access Constraints: Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. The U.S. Geological Survey requests to be acknowledged as originator of the data in future products or derivative research.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Vector Digital Data Set (Polygon)</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://dx.doi.org/10.5066/F7M043J4</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200831</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Cindy Thatcher</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>12201 Sunrise Valley Dr., MS 511</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n </cntaddr>\n <cntvoice>1-703-648-5122</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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## Dates
Publication Date2020-11-12Start Date2009-06-23End Date2019-10-20
## Citation
Rangoonwala, A., and Ramsey, E.W., III, 2020, Phragmites australis live fractional cover yearly map from 2009 to 2019 of the lower Mississippi River Delta using Landsat and Sentinel 2 satellite data: U.S. Geological Survey data release, https://doi.org/10.5066/P9ASPB4E.
## Summary
Phragmites australis live fractional cover (LFC) maps were created of the lower Mississippi River Delta (MRD) using satellite image data. The historical 2009 to 2016 P. australis marsh LFC maps were based on yearly Landsat image data. The 2016 to 2019 P. australis marsh LFC maps were based on yearly Sentinel-2 image data.
## Summary
Phragmites australis live fractional cover (LFC) maps were created of the lower Mississippi River Delta (MRD) using satellite image data. The historical 2009 to 2016 P. australis marsh LFC maps were based on yearly Landsat image data. The 2016 to 2019 P. australis marsh LFC maps were based on yearly Sentinel-2 image data.
## Contacts
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[Amina Rangoonwala](/catalog/catalogParty/show?partyId=8409)
Originator
:
[Amina Rangoonwala](/catalog/catalogParty/show?partyId=8409),
[Elijah W Ramsey III](/catalog/catalogParty/show?partyId=8401)
Metadata Contact
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[Amina Rangoonwala](/catalog/catalogParty/show?partyId=8409)
SDC Data Owner
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[Wetland and Aquatic Research Center](/catalog/catalogParty/show?partyId=70182)
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| Metadata\_PhragmitesDataRelease.xml<br>_Original FGDC Metadata_ | View | 16.45 KB | application/fgdc+xml |
| Landsat\_LFC\_DiffLFC.pdf | | 8.41 MB | application/pdf |
| Landsat\_LFC\_DiffLFC.zip | | 403.22 MB | application/zip |
| Sentinel2\_LFC\_DiffLFC.pdf | | 4.59 MB | application/pdf |
| Sentinel2\_LFC\_DiffLFC.zip | | 224.01 MB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Rangoonwala, A., Howard, R.J., and Ramsey, E.W., III, 2020, Mapping Phragmites australis live fractional cover in the lower Mississippi River Delta, Louisiana: U.S. Geological Survey Open-File Report 2020–1131, 24 p., https://doi.org/10.3133/ofr20201131. | [https://doi.org/10.3133/ofr20201131](https://doi.org/10.3133/ofr20201131 "https://doi.org/10.3133/ofr20201131") |
## Purpose
The study was initiated after widespread dieback of Phragmites australis. This study developed a satellite optical tool for quantitative live fractional cover mapping. The mapping tool was used to create a yearly suite of live fractional cover maps from 2009 to 2019 to demonstrate the quantitative information content of the maps and the usefulness of the developed maps for resource management.
## [Map](/catalog/item/imap/5f45312b82ce4c3d12251707)
[](/catalog/item/imap/5f45312b82ce4c3d12251707)
## Communities
- USGS Data Release Products
- USGS Wetland and Aquatic Research Center
## Tags
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Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
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- [biota](/catalog/items?q=&filter=tags%3Dbiota "biota (biota, Theme, ISO 19115 Topic Category)")
- [invasive plant mapping](/catalog/items?q=&filter=tags%3Dinvasive+plant+mapping "invasive plant mapping (invasive plant mapping, Theme, None)")
- [land cover change](/catalog/items?q=&filter=tags%3Dland+cover+change "land cover change (land cover change, Theme, None)")
- [live fractional cover](/catalog/items?q=&filter=tags%3Dlive+fractional+cover "live fractional cover (live fractional cover, Theme, None)")
- [live vegetation](/catalog/items?q=&filter=tags%3Dlive+vegetation "live vegetation (live vegetation, Theme, None)")
- [scale infestation](/catalog/items?q=&filter=tags%3Dscale+infestation "scale infestation (scale infestation, Theme, None)")
- [wetland dieback](/catalog/items?q=&filter=tags%3Dwetland+dieback "wetland dieback (wetland dieback, Theme, None)")
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- [Mississippi River Delta](/catalog/items?q=&filter=tags%3DMississippi+River+Delta "Mississippi River Delta (Mississippi River Delta, Place, Use Common Geographic Areas)")
USGS Scientific Topic Keyword
- [Remote Sensing](/catalog/items?q=&filter=tags%3DRemote+Sensing "Remote Sensing (Remote Sensing, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9ASPB4E |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Amina Rangoonwala</origin>\n <origin>Elijah Ramsey</origin>\n <pubdate>20201112</pubdate>\n <title>Phragmites australis live fractional cover yearly map from 2009 to 2019 of the lower Mississippi River Delta using Landsat and Sentinel-2 satellite data</title>\n <geoform>raster digital data</geoform>\n <serinfo>\n <sername>Open File Report</sername>\n <issue>Laf20-ESMR00-1011</issue>\n </serinfo>\n <onlink>https://doi.org/10.5066/P9ASPB4E</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Amina Rangoonwala</origin>\n <origin>Rebecca J. Howard</origin>\n <origin>Elijah W. Ramsey III</origin>\n <pubdate>2020</pubdate>\n <title>Mapping Phragmites australis live fractional cover in the lower Mississippi River Delta, Louisiana</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.3133/ofr20201131</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Phragmites australis live fractional cover (LFC) maps were created of the lower Mississippi River Delta (MRD) using satellite image data. The historical 2009 to 2016 P. australis marsh LFC maps were based on yearly Landsat image data. The 2016 to 2019 P. australis marsh LFC maps were based on yearly Sentinel-2 image data.</abstract>\n <purpose>The study was initiated after widespread dieback of Phragmites australis. This study developed a satellite optical tool for quantitative live fractional cover mapping. The mapping tool was used to create a yearly suite of live fractional cover maps from 2009 to 2019 to demonstrate the quantitative information content of the maps and the usefulness of the developed maps for resource management.</purpose>\n <supplinf>Author ORCIDs: Rangoonwala, A.(0000-0002-0556-0598);Ramsey, E.W., III(0000-0002-4518-5796)</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20090623</begdate>\n <enddate>20191020</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <descgeog>Mississippi Lower Delta</descgeog>\n <bounding>\n <westbc>-89.5386</westbc>\n <eastbc>-88.9673</eastbc>\n <northbc>29.363</northbc>\n <southbc>28.9024</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>land cover change</themekey>\n <themekey>invasive plant mapping</themekey>\n <themekey>wetland dieback</themekey>\n <themekey>scale infestation</themekey>\n <themekey>live vegetation</themekey>\n <themekey>live fractional cover</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5f45312b82ce4c3d12251707</themekey>\n </theme>\n <place>\n <placekt>Use Common Geographic Areas</placekt>\n <placekey>Mississippi River Delta</placekey>\n </place>\n </keywords>\n <taxonomy>\n <keywtax>\n <taxonkt>None</taxonkt>\n <taxonkey>Phragmites australis ssp. berlandieri</taxonkey>\n </keywtax>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Lilianae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Poales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Poaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Phragmites</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Phragmites australis</taxonrv>\n <taxoncl>\n <taxonrn>Subspecies</taxonrn>\n <taxonrv>Phragmites australis ssp. berlandieri</taxonrv>\n <common>TSN: 797424</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxonomy>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Amina Rangoonwala</cntper>\n <cntorg>U.S. Geological Survey, Southeast Region</cntorg>\n </cntperp>\n <cntpos>Geophysicist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>700 Cajundome Blvd</address>\n <city>Lafayette</city>\n <state>LA</state>\n <postal>70506</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>337-266-8558</cntvoice>\n <cntfax>337-266-8513</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <native>Window 2016 operating system, Geomatic PCI image processing software\nLandsat Live fractional cover status and change maps,each file 15293 KB\n1_LFCMap_23June2009.tif\n2_LFCMap_25May2010.tif\n3_LFCMap_30Sept2010.tif\n4_LFCMap_13June2011.tif\n5_LFCMap_03Oct2011.tif \n6_LFCMap_24Oct2013.tif \n7_LFCMap_20May2014.tif \n8_LFCMap_28Nov2014.tif \n9_LFCMap_26July2015.tif\n10_LFCMap_14Oct2015.tif\n11_LFCMap_23Apr2016.tif \n12_LFCMap_30Sept2016.tif \n13_LFCMap_28May2017.tif \n14_LFCMap_07Sept2017.tif\n15_DiffLFCMaps_23June2009_25May2010.tif \n16_DiffLFCMaps_23June2009_30Sept2010.tif\n17_DiffLFCMaps_25May2010_13June2011.tif \n18_DiffLFCMaps_30Sept2010_03Oct2011.tif \n19_DiffLFCMaps_13June2011_24Oct2013.tif \n20_DiffLFCMaps_03Oct2011_24Oct2013.tif\n21_DiffLFCMaps_24Oct2013_20May2014.tif \n22_DiffLFCMaps_20May2014_26July2015.tif \n23_DiffLFCMaps_28Nov2014_26July2015.tif \n24_DiffLFCMaps_26July2015_30Sept2016.tif\n25_DiffLFCMaps_14Oct2015_30Sept2016.tif \n26_DiffLFCMaps_23Apr2016_28May2017.tif \n27_DiffLFCMaps_30Sept2016_17Sept2017.tif\nSentinel Live fractional cover and change maps,each file 15293 KB\n28_S2_20Sept2016_LFCMap.tif\n29_S2_25Oct2017_LFCMap.tif\n30_S2_13May2018_LFCMap.tif\n31_S2_22July2018_LFCMap.tif\n32_S2_30Oct2018_LFCMap.tif\n33_S2_04Dec2018_LFCMap.tif\n34_S2_07July2019_LFCMap.tif\n35_S2_31Aug2019_LFCMap.tif\n36_S2_05Sept2019_LFCMap.tif\n37_S2_20Oct2019_LFCMap.tif\n38_S2_DiffLFC_20Sep2016_25Oct2017.tif\n39_S2_DiffLFC_25Oct2017_30Oct2018.tif\n40_S2_DiffLFC_30Oct2018_20Oct2019.tif\n41_S2_DiffLFC_13May2018_22July2018.tif\n42_S2_DiffLFC_30Oct2018_04Dec2018.tif</native>\n <crossref>\n <citeinfo>\n <origin>Elijah W. Ramsey</origin>\n <origin>Amina Rangoonwala</origin>\n <pubdate>2017</pubdate>\n <title>Mapping the change of Phragmies australis live biomass in the lower Mississippi River Delta marshes</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/ofr20171098</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Ground-based data was used as the reference data to calculate the satellite live fractional cover mapping. The regression of field live fractional cover to the field Normalized Difference Vegetation Index (NDVI) had a confidence of 75 percent and a root-mean-square-error of plus/minus 2.25 percent. The regression of field NDVI to the satellite NDVI had a confidence of 73 percent and a root-mean-square-error of plus/minus 5.22 percent.</attraccr>\n </attracc>\n <logic>The mapping values are directly traceable to measured field values. The mapped values fall between the expected 0 to 100 percent. Data were checked for omissions and duplication. Topology is not a factor. The image dataset contains two spatial resolutions. The current maps were produced from Sentinel-2 that has 10 meter by 10 meter image data and the historical maps with Landsat that has 30 meter by 30 meter image data. All other spatial coordinate information is the same for both Sentinel-2 and Landsat images.</logic>\n <complete>Each live fractional cover map per date references a point in time. The maps cover the lower portion of the Mississippi River Delta. Only live fractional cover per image pixel is mapped.</complete>\n <posacc>\n <horizpa>\n <horizpar>Within 10 meters for Sentinel live fractional cover maps and within 30 meters for Landsat live fractional cover map.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>n/a</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Sentinel data by Copernicus in partnership with the European Space Agency and Landsat data by USGS EROS</origin>\n <pubdate>2019</pubdate>\n <title>European Space Agency Sentinel-2 image data and USGS Earth Resources Observation and Science Landsat image data</title>\n <geoform>raster digital data</geoform>\n <onlink>Sentinel-2 image data - https://scihub.copernicus.eu/dhus/#/home</onlink>\n <onlink>Landsat image data - https://earthexplorer.usgs.gov/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20090623</begdate>\n <enddate>20191020</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Complete</srccurr>\n </srctime>\n <srccitea>Sentinel-2 and Landsat satellite optical image data</srccitea>\n <srccontr>Satellite image data were transformed to the live fractional cover maps</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Landsat\nFourteen Landsat live fractional cover (LFC) status maps were created from 2009 to 2017 depicting up to two Landsat LFC maps per year. LFC status is represented as a 0 to 100 percent continuous color gradient from brown to yellow green. Brown represents low percent cover with increasing percent cover moving towards the yellow-green end. The same color representations are applied throughout all maps ensuring directly comparability between all LFC status maps. \n\nThirteen Landsat LFC change maps were produced highlighting LFC changes annually from 2009 -2017. A continuous color gradient is again used; however, the color ramp represents both LFC decrease and increase from the earlier to later date. Greens bridge the LFC increase and decrease range, pinks and reds reflect the highest decreases, and blues the highest increases between two dates. The same color representations are applied throughout all maps ensuring directly comparability between all LFC status change maps.\n\nSentinel-2\nSentinel-2 LFC status and LFC change maps were produced using the same calibrations and color ramps used to produce the Landsat LFC status and LFC change maps. Ten Sentinel-2 LFC status maps were created from 2016 to 2019. To check Landsat LFC status to Sentinel-2 LFC status mapping continuity, the single Sentinel-2 2016 and 2017 LFC maps were compared to the 2016 and 2017 Landsat LFC maps. \n\nFour Sentinel-2 LFC status maps were produced for both 2018 and 2019. The four LFC status maps within a single year highlighted seasonal LFC differences. \n\nFive LFC change maps were produced. The produced LFC change maps highlighted annual and seasonal changes.</procdesc>\n <procdate>20200806</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Transverse Mercator</mapprojn>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-87.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000</feast>\n <fnorth>0</fnorth>\n </transmer>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>10</absres>\n <ordres>10</ordres>\n </coordrep>\n <plandu>meters</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>World Geodetic System 1984 (WGS 84)</horizdn>\n <ellips>WGS_1984</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>294.257223563</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.\nUnless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9ASPB4E</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20201112</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Amina Rangoonwala</cntper>\n <cntorg>Cherokee Nation Technologies Contractor in support of US Geological Survey</cntorg>\n </cntperp>\n <cntpos>RS GIS Specialist</cntpos>\n <cntaddr>\n <addrtype>Physical</addrtype>\n <address>Wetland and Aquatic Research Center, 700 Cajundome Blvd</address>\n <city>Lafayette</city>\n <state>LA</state>\n <postal>70506</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>337 266-8500</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Visible, Near Infrared, Shortwave Infrared and Thermal Infrared Laboratory Spectra of Samples of Compositionally Variable Dune Fields in the Western United States and Alaska](/catalog/item/58127788e4b0b5a0c12a0f13)
4. [Visible, Near Infrared, Shortwave Infrared and Thermal Infrared Laboratory Spectra of Samples of Compositionally Variable Dune Fields in the Western United States and Alaska - Sample DS5](/catalog/folder/5a626aebe4b06e28e9c3d973)
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## Dates
Publication Date2018-01-19Time Period2014-02-18
## Citation
Hubbard, B.E., Hooper, D.M., Solano, Federico, and Mars, J.C., 2018, Visible, Near Infrared, Shortwave Infrared and Thermal Infrared Laboratory Spectra of Samples of Compositionally Variable Dune Fields in the Western United States and Alaska: U.S. Geological Survey data release, https://doi.org/10.5066/F7MS3QWM.
## Summary
This data represents laboratory reflectance and emissivity spectral measurements of dune sand samples collected from a variety of dune types and mineralogical compositions from eight dune field locations in Alaska, Arizona, California, Colorado, Idaho, Nevada and New Mexico (labeled and designated as samples DS-1 through DS-8). Each sample were sieved into various size classes and measured both prior to and after sieving. Visible through Near Infrared through Shortwave Infrared (~0.4 - 2.5 microns) reflectance were measured using an artificial light source attached to an Analytical Spectral Devices (ASD) spectrometer. Hemispherical reflectance measurements spanning Mid-IR wavelengths, including the Thermal Infrared (~2.0 - 15.0 microns), \[...\]
## Summary
This data represents laboratory reflectance and emissivity spectral measurements of dune sand samples collected from a variety of dune types and mineralogical compositions from eight dune field locations in Alaska, Arizona, California, Colorado, Idaho, Nevada and New Mexico (labeled and designated as samples DS-1 through DS-8). Each sample were sieved into various size classes and measured both prior to and after sieving. Visible through Near Infrared through Shortwave Infrared (~0.4 - 2.5 microns) reflectance were measured using an artificial light source attached to an Analytical Spectral Devices (ASD) spectrometer. Hemispherical reflectance measurements spanning Mid-IR wavelengths, including the Thermal Infrared (~2.0 - 15.0 microns), were measured using a Nicolet FTIR spectrometer with a gold integrating sphere attachment. These latter measurements were converted from wavenumber to wavelength, and inverted to measure emissivity. TIR spectral measurements were conducted for most of our eight dune samples prior to sieving and does not include measurements of various size fractions, except for one sample (DS-8). VSWIR reflectance measurements are included for each of the full composite samples prior to sieving, as well as selected size fractions after sieving such as the smallest (e.g. pan fraction) and largest measurable size fractions. This metadata entry describes the CSV spectral files associated with sample DS-5, in particular.
## Contacts
Point of Contact
:
[Bernard E Hubbard](/catalog/catalogParty/show?partyId=4793)
Originator
:
[Bernard E Hubbard](/catalog/catalogParty/show?partyId=4793),
[Donald M Hooper](/catalog/catalogParty/show?partyId=Donald+M+Hooper),
[Federico Solano](/catalog/catalogParty/show?partyId=9715),
[John C Mars](/catalog/catalogParty/show?partyId=6515)
Metadata Contact
:
[Bernard E Hubbard](/catalog/catalogParty/show?partyId=4793)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
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:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5a626aebe4b06e28e9c3d973?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5a626aebe4b06e28e9c3d973?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5a626aebe4b06e28e9c3d973?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
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| DS5.xml<br>_Original FGDC Metadata_ | View | 11.28 KB | application/fgdc+xml |
| DS5.zip | | 37.95 KB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Hubbard, B.E., Hooper, D.M., Solano, Federico, and Mars, J.C., 2018, Determining mineralogical variations of aeolian deposits using thermal infrared emissivity and linear deconvolution methods: Aeolian Research, v. 30, p. 54-96, https://doi.org/10.1016/j.aeolia.2017.12.001. | [https://doi.org/10.1016/j.aeolia.2017.12.001](https://doi.org/10.1016/j.aeolia.2017.12.001 "https://doi.org/10.1016/j.aeolia.2017.12.001") |
## Purpose
The data was obtained in order to test linear deconvolution methods for "unmixing" the mineralogical components of dune sands using thermal infrared emissivity spectra and related imagery. The select dune fields were chosen for comparison to compositionally and geomorphologically similar dune types found on Mars (i.e. in order to assess terrestrial dune fields as martian analogs). Visible through shortwave infrared reflectance measurements were used to determine the composition of other minerals found in various size fractions of Aeolian deposits, but not necessarily as detectable using thermal infrared emissivity measurements, such as clay and mica minerals and ferric-iron minerals which can all occur as larger grain coatings.
## [Map](/catalog/item/imap/5a626aebe4b06e28e9c3d973)
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## Communities
- USGS Data Release Products
## Tags
Place
- [Great Sand Dunes National Park, Colorado](/catalog/items?q=&filter=tags%3DGreat+Sand+Dunes+National+Park%2C+Colorado "Great Sand Dunes National Park, Colorado (Great Sand Dunes National Park, Colorado, Place, Great Sand Dunes, CO)")
## Provenance
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Bernard E. Hubbard</origin>\n <origin>Donald M. Hooper</origin>\n <origin>Federico Solano</origin>\n <origin>John C. Mars</origin>\n <pubdate>20180119</pubdate>\n <title>Visible, Near Infrared, Shortwave Infrared and Thermal Infrared Laboratory Spectra of Samples of Compositionally Variable Dune Fields in the Western United States and Alaska - Sample DS5</title>\n <geoform>CSV</geoform>\n <pubinfo>\n <pubplace>online (digital release)</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://dx.doi.org/10.5066/F7MS3QWM</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Bernard E. Hubbard</origin>\n <origin>Donald M. Hooper</origin>\n <origin>Federico Solano</origin>\n <origin>John C. Mars</origin>\n <pubdate>20171229</pubdate>\n <title>Determining mineralogical variations of aeolian deposits using thermal infrared emissivity and linear deconvolution methods</title>\n <geoform>Publication (Journal)</geoform>\n <pubinfo>\n <pubplace>Aeolian Research</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <onlink>https://doi.org/10.1016/j.aeolia.2017.12.001</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This data represents laboratory reflectance and emissivity spectral measurements of dune sand samples collected from a variety of dune types and mineralogical compositions from eight dune field locations in Alaska, Arizona, California, Colorado, Idaho, Nevada and New Mexico (labeled and designated as samples DS-1 through DS-8). Each sample were sieved into various size classes and measured both prior to and after sieving. Visible through Near Infrared through Shortwave Infrared (~0.4 - 2.5 microns) reflectance were measured using an artificial light source attached to an Analytical Spectral Devices (ASD) spectrometer. Hemispherical reflectance measurements spanning Mid-IR wavelengths, including the Thermal Infrared (~2.0 - 15.0 microns), were measured using a Nicolet FTIR spectrometer with a gold integrating sphere attachment. These latter measurements were converted from wavenumber to wavelength, and inverted to measure emissivity. TIR spectral measurements were conducted for most of our eight dune samples prior to sieving and does not include measurements of various size fractions, except for one sample (DS-8). VSWIR reflectance measurements are included for each of the full composite samples prior to sieving, as well as selected size fractions after sieving such as the smallest (e.g. pan fraction) and largest measurable size fractions. This metadata entry describes the CSV spectral files associated with sample DS-5, in particular.</abstract>\n <purpose>The data was obtained in order to test linear deconvolution methods for "unmixing" the mineralogical components of dune sands using thermal infrared emissivity spectra and related imagery. The select dune fields were chosen for comparison to compositionally and geomorphologically similar dune types found on Mars (i.e. in order to assess terrestrial dune fields as martian analogs). Visible through shortwave infrared reflectance measurements were used to determine the composition of other minerals found in various size fractions of Aeolian deposits, but not necessarily as detectable using thermal infrared emissivity measurements, such as clay and mica minerals and ferric-iron minerals which can all occur as larger grain coatings.</purpose>\n <supplinf>Quantitative XRD was performed on the 2-phi size fraction of each sample, for sample DS-5, the results were the following: \nQuartz = 16.1%; Plagioclase = 62.5%; K-Feldspar = 12.4%; Graphite = 3.2%; Amphiboles = 2.3%; Chromferide = 0.3%; Dolomite = 1.7% and Amorphouse Phases (including volcanic glass) = 1.4%</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>20140218</caldate>\n </sngdate>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-105.509336</westbc>\n <eastbc>-105.509336</eastbc>\n <northbc>37.762981</northbc>\n <southbc>37.762981</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>NASA Global Change Master Directory</themekt>\n <themekey>thermal infrared emissivity, spectral unmixing, linear deconvolution, aeolian sorting, terrestrial analogs, dunes</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5a626aebe4b06e28e9c3d973</themekey>\n </theme>\n <place>\n <placekt>Great Sand Dunes, CO</placekt>\n <placekey>Great Sand Dunes National Park, Colorado</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Bernard E. Hubbard</cntper>\n <cntorg>U. S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>12201 Sunrise Valley Drive Mail Stop 954</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>(703) 648-6155</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <browse>\n <browsen />\n <browsed />\n <browset />\n </browse>\n <datacred>Southwest Research Institute; San Antonio, TX</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>TIR emissivity spectra were originally acquired as hemispherical reflectance measurements using a Nicolet FTIR spectrometer with a gold integrating sphere attachment for such hemispherical measurements. Emissivity values (y) were calculated using Kirchoff\'s Law where Emissivity = 1 - Reflectance. Wavelengths (x) were calculated from Wavenumber using the following formula: Wavelength = 10,000/Wavenumber. TIR Hemispherical Reflectance measurements were made using a scan average of 500 per integration for reasonable signal-to-noise. VSWIR reflectance measurements were made using an Analytical Spectral Devices (ASD) spectrometer with an artificial light source attachment. VSWIR reflectance measurements were made relative to spectralon and corrected for spectralon absorption features to yield absolute reflectance measurements using the PRISM software as described by Kokaly (2011 - USGS Open-file Report 2011-1155). Reflectance measurements represent spectral averages of measurements made on the same sample, though the number of spectra used in the averaging varied by circumstance (e.g. amount of sample, homogeneity of sample, brightness of sample, etc.) but usually greater than 5. VSWIR measurements represent wavelength (x) versus %-reflectance (y).</procdesc>\n <procdate>20161020</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>All field samples were GPS located.</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.0197578421</latres>\n <longres>0.0248824561</longres>\n <geogunit>Decimal seconds</geogunit>\n </geograph>\n <geodetic>\n <horizdn>D_North_American_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>DS5-Emissivity.csv, DS5-VSWIR-4point0phi.csv, DS5-VSWIR-full-whole.csv</enttypl>\n <enttypd>wavelength versus emissivity or reflectance</enttypd>\n <enttypds>standard spectroscopic measurements</enttypds>\n </enttyp>\n <attr>\n <attrlabl>x values = wavelength in microns, y values = emissivity or reflectance ranging from 0 to 1</attrlabl>\n <attrdef>Reflectance and emissivity are defined in standard remote sensing textbooks such as Rencz (Remote Sensing for the Earth Sciences: Manual of Remote Sensing, 3rd Edition, Volume 3, publication year 1999, ISBN: 0471-29405-5), and in particular Chapters 1 by Roger Clark and 2 by Hook et al. CSV files labeled with "Emissivity" were converted from wavenumber to wavelength units in microns, and from hemispherical reflectance to emissivity values. CSV files labeled with "VSWIR" are reflectance values measured relative to and corrected for Spectralon, using standardized algorithms within the PRISM software described by Kokaly, 2011 (USGS Open-file Report 2011-1155).</attrdef>\n <attrdefs>standard spectroscopic measurements</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1</rdommax>\n <attrunit>variable depending on spectrometer measurement type and instrument as described in the abstract</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>There is no liability in distributing this data other than the need to cite this and related interpretative studies.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200821</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Bernard Hubbard</cntper>\n <cntorg>U. S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Research Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>12201 Sunrise Valley Drive Mail Stop 954</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>(703) 648-6155</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Airsoft electric gun evaluation on Brown Treesnakes, Guam, 2016](/catalog/folder/5a53d19ee4b01e7be230873c)
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## Dates
Publication Date2020-09-25Start Date2016-07-01End Date2016-08-31
## Citation
Yackel Adams, A.A., 2020, Airsoft electric gun evaluation on Brown Treesnakes, Guam, 2016: U.S. Geological Survey data release, https://doi.org/10.5066/F7RN372X.
## Summary
The data set consists of 2 spreadsheets from Airsoft Electric Gun (AEG) trials on brown treesnakes. AEG snake wound data contains AEG results from guns equipped with 0.39 gram ammunition (plastic pellets ) that were fired at dead and live snakes from distances of 4, 8, and 12 m to measure tissue-penetration depth, and noted if (a) the pellet was lodged inside the peritoneal cavity, (b) the pellet had completely passed through and left the body, (c) the pellet appeared to have damaged the vertebral column, (d) ribs were broken, and (e) any internal organs appeared to be damaged. AEG live snake ballistic data contains information on limited AEG trials with live snakes shot at distances of 4, 8, and 12 m and their behavioral responses \[...\]
## Summary
The data set consists of 2 spreadsheets from Airsoft Electric Gun (AEG) trials on brown treesnakes. AEG snake wound data contains AEG results from guns equipped with 0.39 gram ammunition (plastic pellets ) that were fired at dead and live snakes from distances of 4, 8, and 12 m to measure tissue-penetration depth, and noted if (a) the pellet was lodged inside the peritoneal cavity, (b) the pellet had completely passed through and left the body, (c) the pellet appeared to have damaged the vertebral column, (d) ribs were broken, and (e) any internal organs appeared to be damaged. AEG live snake ballistic data contains information on limited AEG trials with live snakes shot at distances of 4, 8, and 12 m and their behavioral responses when hit with 0.39 gram ammunition.
## Contacts
Point of Contact
:
[Amy A Yackel Adams](/catalog/catalogParty/show?partyId=43677)
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:
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| Airsoft Electric Gun Evaluation on Brown Treesnakes.xml<br>_Original FGDC Metadata_ | View | 29.82 KB | application/fgdc+xml |
| AEG Live snake ballistics.csv | | 571 Bytes | text/csv |
| AEG Snake wound data.csv | | 25.43 KB | text/csv |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Knox, A. J., Lardner, B., Yackel Adams, A., & Reed, R. N. (2018). Evaluating airsoft electric guns for control of invasive brown treesnakes. Wildlife Society Bulletin, 42(3), 534–539. https://doi.org/10.1002/wsb.909 | [https://doi.org/10.1002/wsb.909](https://doi.org/10.1002/wsb.909 "https://doi.org/10.1002/wsb.909") |
## Purpose
We evaluated hobby-grade Airsoft Electric Guns (AEGs)—a lower-powered, less-hazardous, and less-regulated alternative to firearms—for capture and/or control of small animals, with specific emphasis on invasive brown treesnakes (Boiga irregularis).
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## Provenance
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| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7RN372X |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Amy A Yackel Adams, USGS</origin>\n <pubdate>20200925</pubdate>\n <title>Airsoft electric gun evaluation on Brown Treesnakes, Guam, 2016</title>\n <geoform>spreadsheet</geoform>\n <onlink>https://doi.org/10.5066/F7RN372X</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The data set consists of 2 spreadsheets from Airsoft Electric Gun (AEG) trials on brown treesnakes. AEG snake wound data contains AEG results from guns equipped with 0.39 gram ammunition (plastic pellets ) that were fired at dead and live snakes from distances of 4, 8, and 12 m to measure tissue-penetration depth, and noted if (a) the pellet was lodged inside the peritoneal cavity, (b) the pellet had completely passed through and left the body, (c) the pellet appeared to have damaged the vertebral column, (d) ribs were broken, and (e) any internal organs appeared to be damaged. AEG live snake ballistic data contains information on limited AEG trials with live snakes shot at distances of 4, 8, and 12 m and their behavioral responses when hit with 0.39 gram ammunition.</abstract>\n <purpose>We evaluated hobby-grade Airsoft Electric Guns (AEGs)\xe2\x80\x94a lower-powered, less-hazardous, and less-regulated alternative to firearms\xe2\x80\x94for capture and/or control of small animals, with specific emphasis on invasive brown treesnakes (Boiga irregularis).</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20160701</begdate>\n <enddate>20160831</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>144.32739257812503</westbc>\n <eastbc>145.25024414062503</eastbc>\n <northbc>13.880745842025615</northbc>\n <southbc>12.92961458098724</southbc>\n </bounding>\n <descgeog>Guam</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>pest control</themekey>\n <themekey>invasive species</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5a53d19ee4b01e7be230873c</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Guam</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Amy Yackel</cntper>\n <cntorg>U.S. Geological Survey, Southwest Region</cntorg>\n </cntperp>\n <cntpos>Research Ecologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>2150 Centre Avenue Bldg C</address>\n <city>Fort Collins</city>\n <state>CO</state>\n <postal>80526</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>970-226-9489</cntvoice>\n <cntfax>970-226-9230</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>No</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Formal attribute accuracy tests were conducted by contrasting data entered with field values from datasheets.</attraccr>\n </attracc>\n <logic>Logical accuracy tests were conducted to ensure values were within expected ranges and that no duplication or omissions exist within these data.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Wound data was recorded for each snake. Each wound per snake resulted in a new row of data. Identification numbers for snakes are only unique within the distance and status column. For each wound, observers recorded snake identification number, AEG firing distance from gun to target in meters, status (live or dead), snout-vent length, snake weight and maximum diameter of the snake, and various associated wound measurements. \nBehavior data from nine snakes shot at AEG gun-to-target distances of 4,8,12 meters were recorded with yes, no, and not applicable answers.</procdesc>\n <procdate>2016</procdate>\n </procstep>\n <procstep>\n <procdesc>After data were entered another biologist proofed the data before the principal investigator evaluated data quality.</procdesc>\n <procdate>2016</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>AEG Snake wound data.csv</enttypl>\n <enttypd>Comma Separate Value (CSV) file containing data.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Snake #</attrlabl>\n <attrdef>Number given to snake within a firing distance of 4, 8, and 12 meters and status of dead or alive.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Numeric number ranging from 1-20.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Distance</attrlabl>\n <attrdef>Airsoft electric gun firing distance from gun to snake.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>4</edomv>\n <edomvd>Shooter was 4 meters from snake when Airsoft electric gun was fired.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8</edomv>\n <edomvd>Shooter was 8 meters from snake when Airsoft electric gun was fired.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>12</edomv>\n <edomvd>Shooter was 12 meters from snake when Airsoft electric gun was fired.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Status</attrlabl>\n <attrdef>Status of the snake during the trial</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Dead</edomv>\n <edomvd>Snake was dead during the trial.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Live</edomv>\n <edomvd>Snake was alive during the trial</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Snake SVL (mm)</attrlabl>\n <attrdef>Snout vent length of the snake in millimeters</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>543</rdommin>\n <rdommax>1588</rdommax>\n <attrunit>millimeters</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Snake Weight (g)</attrlabl>\n <attrdef>Weight of snake in grams</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>19</rdommin>\n <rdommax>780</rdommax>\n <attrunit>grams</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Snake Max Diameter (mm)</attrlabl>\n <attrdef>Maximum diameter of the snake</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6.16</rdommin>\n <rdommax>27.38</rdommax>\n <attrunit>mm</attrunit>\n <attrmres>0.1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Wound Distance from Snout (mm)</attrlabl>\n <attrdef>The distance of wound from the snout of the snake. Values of NA indicate that no wound was incurred by the snake.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4.0</rdommin>\n <rdommax>879.0</rdommax>\n <attrunit>mm</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Wound Depth (mm)</attrlabl>\n <attrdef>Depth of the wound and accounts for added 6 mm diameter of BB if measurement terminated at the BB. Wound depths greater than the maximum diameter for a given snake occurred because of different planes of measurements between the two metrics and/or severe wound deformities that elevated snake skin. Values of NA indicate that no wound was incurred by the snake.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>15.9</rdommax>\n <attrunit>mm</attrunit>\n <attrmres>0.1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BB Inter-Peritoneal</attrlabl>\n <attrdef>Did plastic pellet (BB) lodge in the inter-peritoneal (body cavity) of the snake</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>plastic pellet penetrated body cavity</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>plastic pellet did not penetrate body cavity</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Vertebral Break</attrlabl>\n <attrdef>Did the plastic pellet break the spinal column of the snake</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>plastic pellet did not break the spinal column of the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>plastic pellet broke the spinal column of the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Broken Rib(s)</attrlabl>\n <attrdef>Did the plastic pellet break 1 or more ribs in the snake</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>plastic pellet did not break 1 or more ribs</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>plastic pellet broke 1 or more ribs</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Exit Wound?</attrlabl>\n <attrdef>Did the plastic pellet completely pass through the snake's body</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>plastic pellet did not pass through the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>plastic pellet passed through the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Diagonal Penetration</attrlabl>\n <attrdef>Did the plastic pellet pass into the body of the snake at an angle?</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>plastic pellet did not pass through the body at an angle</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>plastic pellet passed through the body at an angle</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Liver</attrlabl>\n <attrdef>Plastic pellet caused damage to the liver of the snake</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Plastic pellet caused damage to the liver of the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>Plastic pellet did not cause damage to the liver of the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Heart</attrlabl>\n <attrdef>Plastic pellet caused damage to the heart of the snake</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>Plastic pellet did not cause damage to the heart of the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Plastic pellet caused damage to the heart of the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Brain</attrlabl>\n <attrdef>Plastic pellet caused damage to the brain of the snake</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>Plastic pellet did not cause damage to the brain of the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Plastic pellet caused damage to the brain of the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Trachea</attrlabl>\n <attrdef>Plastic pellet caused damage to the trachea of the snake</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>Plastic pellet did not cause damage to the trachea of the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Plastic pellet caused damage to the trachea of the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lung</attrlabl>\n <attrdef>Plastic pellet caused damage to the lung of the snake</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>Plastic pellet did not caused damage to the lung of the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Plastic pellet caused damage to the lung of the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Other</attrlabl>\n <attrdef>Plastic pellet caused internal damage to areas other than organs</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>Plastic pellet did not cause internal damage (other than organs)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Plastic pellet caused internal damage (other than organs)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Comments</attrlabl>\n <attrdef>Observer comments not addressed by other columns</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Text description of wound damage</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>AEG Live snake ballistics.csv</enttypl>\n <enttypd>Comma Separate Value (CSV) file containing data.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Snake Trial #</attrlabl>\n <attrdef>Trial number sequence</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>First trial</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2</edomv>\n <edomvd>Second trial</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>3</edomv>\n <edomvd>Third trial</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>4</edomv>\n <edomvd>Fourth trial</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>5</edomv>\n <edomvd>Fifth trial</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>6</edomv>\n <edomvd>Sixth trial</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>7</edomv>\n <edomvd>Seventh trial</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8</edomv>\n <edomvd>Eighth trial</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>9</edomv>\n <edomvd>Ninth trial</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Snake Id</attrlabl>\n <attrdef>Snake identification number</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Numeric identification of snakes in trial 1-9. Order was randomized.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SVL</attrlabl>\n <attrdef>Snout vent length</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>695</rdommin>\n <rdommax>1588</rdommax>\n <attrunit>mm</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Time Start</attrlabl>\n <attrdef>Time at start of trial</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Military time reported in 2400 format</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Time End</attrlabl>\n <attrdef>Time at end of trial</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Military time reported in 2400 format</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Elapsed Time</attrlabl>\n <attrdef>Time elapsed from start to end of trial</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>2</rdommax>\n <attrunit>minute</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Distance</attrlabl>\n <attrdef>Distance in meters from gun to target</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>4</edomv>\n <edomvd>Airsoft electric gun at 4 meters from target</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8</edomv>\n <edomvd>Airsoft electric gun at 8 meters from target</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>12</edomv>\n <edomvd>Airsoft electric gun at 12 meters from target</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BB Weight</attrlabl>\n <attrdef>Weight of plastic pellet BB ammunition</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.4</rdommin>\n <rdommax>0.4</rdommax>\n <attrunit>gram</attrunit>\n <attrmres>0.1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Movement Before</attrlabl>\n <attrdef>Did snake move before Airsoft electric gun trigger was pulled?</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Yes, snake moved before Airsoft electric gun trigger was pulled.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>No, snake did not move before Airsoft electric gun trigger was pulled.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Hit</attrlabl>\n <attrdef>Was there a visual behavioral response indicating a hit to the snake?</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Yes, there was a visual behavioral response indicating a hit to the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>No, there was not a visual behavioral response indicating a hit to the snake</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Falls</attrlabl>\n <attrdef>If hit, does the snake fall from perch?</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Yes, snake fell from perch in a time period equal to or less than 60 seconds.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>No, snake remained perched.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Tail</attrlabl>\n <attrdef>If snake remained perched (whether it eventually falls or not), did it wrap its tail around the perch?</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>No, the snake did not wrap its tail around the perch.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Yes, the snake wrapped its tail around the perch.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Movement Ground</attrlabl>\n <attrdef>If snake fell to ground, does it move away?</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Yes, snake moved away</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>No, snake did not move</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not applicable because snake did not fall from its perch.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Inside of ring</attrlabl>\n <attrdef>If snake moved after falling, did it remain inside the designated 3 meter ring?</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>No, the snake did not stay inside the designated 3 meter ring.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Yes, the snake stayed inside the designated 3 meter ring.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Not applicable.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Outside of ring</attrlabl>\n <attrdef>Time in seconds that it took a snake to move outside the designated 3 meter ring. Values of NA indicate that the snake did not move outside the ring.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>30</rdommin>\n <rdommax>60</rdommax>\n <attrunit>seconds</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Bite</attrlabl>\n <attrdef>Did snake bite itself after it was wounded?</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>No, snake did not bite itself after it was wounded by the Airsoft electric gun.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7RN372X</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200925</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Amy Yackel</cntper>\n <cntorg>U.S. Geological Survey, Southwest Region</cntorg>\n </cntperp>\n <cntpos>Research Ecologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>2150 Centre Avenue Bldg C</address>\n <city>Fort Collins</city>\n <state>CO</state>\n <postal>80526</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>970-226-9489</cntvoice>\n <cntfax>970-226-9230</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the CDGSM</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n <metuc>Record created using USGS Metadata Wizard tool. (https://github.com/usgs/fort-pymdwizard)</metuc>\n </metainfo>\n</metadata>" |
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4. [FLOwPER Database: StreamFLOw PERmanence Field Observations](/catalog/item/5edea67582ce7e579c6e5845)
5. [FLOwPER Database: StreamFLOw PERmanence field observations, August 2019 - October 2019](/catalog/folder/5edd08c982ce7e579c6e48db)
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## Dates
Publication Date2020-07-07Start Date2019-08End Date2019-10
## Citation
Heaston, E.D., Jaeger, K.L., Burnett, J., Wondzell, S., Chelgren, N., Dunham, J.B., and Johnson, S., 2020, FLOwPER Database: StreamFLOw PERmanence field observations, August 2019 - October 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P91ZA4J4.
## Summary
IMPORTANT NOTE: More recent versions of these data release are available at this link. This dataset includes spatial locations where streamflow permanence observations (continuous flow, discontinuous flow, and dry) were recorded using the FLOwPER (FLOw PERmanence) field survey available in the Survey 123 and S1 mobile application. Additional information to describe the field conditions are included as part of the survey. Field observations in the FLOwPER Database have not been processed for quality control including spatial data accuracy or association with a stream network such as the National Hydrography Dataset. Streamflow permanence observations are collected from several governmental and non-governmental organizations on a continuing \[...\]
## Summary
**IMPORTANT NOTE:** More recent versions of these data release are available at this [link](https://doi.org/10.5066/P9WOF1X6).
This dataset includes spatial locations where streamflow permanence observations (continuous flow, discontinuous flow, and dry) were recorded using the FLOwPER (FLOw PERmanence) field survey available in the Survey 123 and S1 mobile application. Additional information to describe the field conditions are included as part of the survey. Field observations in the FLOwPER Database have not been processed for quality control including spatial data accuracy or association with a stream network such as the National Hydrography Dataset. Streamflow permanence observations are collected from several governmental and non-governmental organizations on a continuing basis. This data release is formatted as a shapefile that includes streamflow permanence observations with associated information. Photographs associated with FLOwPER data points are included.
## Contacts
Point of Contact
:
[Emily D Heaston](/catalog/catalogParty/show?partyId=76939)
Process Contact
:
[Emily D Heaston](/catalog/catalogParty/show?partyId=76939)
Metadata Contact
:
[Kristin L Jaeger](/catalog/catalogParty/show?partyId=69865)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Originator
:
[Emily D Heaston](/catalog/catalogParty/show?partyId=76939),
[Kristin L Jaeger](/catalog/catalogParty/show?partyId=69865),
[Jonathan Burnett](/catalog/catalogParty/show?partyId=Jonathan+Burnett),
[Steve Wondzell](/catalog/catalogParty/show?partyId=Steve+Wondzell),
[Nathan Chelgren](/catalog/catalogParty/show?partyId=1736),
[Jason Dunham](/catalog/catalogParty/show?partyId=2751),
[Sherri Johnson](/catalog/catalogParty/show?partyId=Sherri+Johnson)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Ecosystems](/catalog/catalogParty/show?partyId=Ecosystems)
SDC Data Owner
:
[Forest and Rangeland Ecosystem Science Center](/catalog/catalogParty/show?partyId=17476)
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| | | | |
| --- | --- | --- | --- |
| FLOwPER \_2019\_metadata.xml<br>_Original FGDC Metadata_ | View | 48.45 KB | application/fgdc+xml |
| FLOwPER\_2019\_shpfile.zip<br>“FLOwPER Database Shapefile” | | 297.61 KB | application/zip |
| FLOwPER\_2019\_Photos.zip<br>“FLOwPER Database Photos” | | 76.04 MB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Jaeger, K.L., Burnett, J., Heaston, E.D., Wondzell, S.M., Chelgren, N., Dunham, J.B., Johnson, S., and Brown, M., 2020, FLOwPER user guide—For collection of FLOw PERmanence field observations: U.S. Geological Survey Open-File Report 2020–1075, 40 p., https://doi.org/10.3133/ofr20201075. | [https://doi.org/10.3133/ofr20201075](https://doi.org/10.3133/ofr20201075 "https://doi.org/10.3133/ofr20201075") |
## Purpose
Streamflow permanence observations are collected from several governmental and non-governmental organizations and can be used for a variety of purposes including research and management of land, water, and ecosystem resources.
## [Map](/catalog/item/imap/5edd08c982ce7e579c6e48db)
[](/catalog/item/imap/5edd08c982ce7e579c6e48db)
## Communities
- Forest and Rangeland Ecosystem Science Center (FRESC)
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [Streamflow permanence](/catalog/items?q=&filter=tags%3DStreamflow+permanence "Streamflow permanence (Streamflow permanence, Theme, None)")
- [environment](/catalog/items?q=&filter=tags%3Denvironment "environment (environment, Theme, ISO 19115 Topic Category)")
- [ephemeral](/catalog/items?q=&filter=tags%3Dephemeral "ephemeral (ephemeral, Theme, None)")
- [headwaters](/catalog/items?q=&filter=tags%3Dheadwaters "headwaters (headwaters, Theme, None)")
- [hydrographic datasets](/catalog/items?q=&filter=tags%3Dhydrographic+datasets "hydrographic datasets (hydrographic datasets, Theme, USGS Thesaurus)")
- [inlandWaters](/catalog/items?q=&filter=tags%3DinlandWaters "inlandWaters (inlandWaters, Theme, ISO 19115 Topic Category)")
- [intermittent](/catalog/items?q=&filter=tags%3Dintermittent "intermittent (intermittent, Theme, None)")
- [perennial](/catalog/items?q=&filter=tags%3Dperennial "perennial (perennial, Theme, None)")
- [river systems](/catalog/items?q=&filter=tags%3Driver+systems "river systems (river systems, Theme, USGS Thesaurus)")
- [streamflow](/catalog/items?q=&filter=tags%3Dstreamflow "streamflow (streamflow, Theme, USGS Thesaurus)")
- [streams](/catalog/items?q=&filter=tags%3Dstreams "streams (streams, Theme, None)")
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Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
USGS Scientific Topic Keyword
- [Aquatic Biology](/catalog/items?q=&filter=tags%3DAquatic+Biology "Aquatic Biology (Aquatic Biology, USGS Scientific Topic Keyword, )")
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- [Water Resources](/catalog/items?q=&filter=tags%3DWater+Resources "Water Resources (Water Resources, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P91ZA4J4 |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>United States Geological Survey</origin>\n <origin>United States Forest Service</origin>\n <pubdate>20200707</pubdate>\n <title>FLOwPER Database: StreamFLOw PERmanence field observations, August 2019 - October 2019</title>\n <geoform>vector digital data</geoform>\n <onlink>https://doi.org/10.5066/P91ZA4J4</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Kristin L. Jaeger</origin>\n <origin>Jonathan Burnett</origin>\n <origin>Emily D. Heaston</origin>\n <origin>Steve M. Wondzell</origin>\n <origin>Nathan Chelgren</origin>\n <origin>Jason B. Dunham</origin>\n <origin>Sherri Johnson</origin>\n <origin>Mike Brown</origin>\n <pubdate>2020</pubdate>\n <title>FLOwPER user guide\xe2\x80\x94For collection of FLOw PERmanence field observations</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/ofr20201075</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>IMPORTANT NOTE: More recent versions of these data release are available at this link.\n\nThis dataset includes spatial locations where streamflow permanence observations (continuous flow, discontinuous flow, and dry) were recorded using the FLOwPER (FLOw PERmanence) field survey available in the Survey 123 and S1 mobile application. Additional information to describe the field conditions are included as part of the survey. Field observations in the FLOwPER Database have not been processed for quality control including spatial data accuracy or association with a stream network such as the National Hydrography Dataset.\n\nStreamflow permanence observations are collected from several governmental and non-governmental organizations on a continuing basis.\n\nThis data release is formatted as a shapefile that includes streamflow permanence observations with associated information. Photographs associated with FLOwPER data points are included.</abstract>\n <purpose>Streamflow permanence observations are collected from several governmental and non-governmental organizations and can be used for a variety of purposes including research and management of land, water, and ecosystem resources.</purpose>\n <supplinf>The FLOwPER field survey dataset has not been reviewed for accuracy, including information related to the field survey such as geographic coordinates or geographic names. It is expected that contributors to the FLOwPER dataset collected field observations under good faith with best intentions within the limits of field conditions.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>201908</begdate>\n <enddate>201910</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>In work</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-124.1712</westbc>\n <eastbc>-115.5199</eastbc>\n <northbc>47.0047</northbc>\n <southbc>38.2999</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>inlandWaters</themekey>\n <themekey>environment</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Streamflow permanence</themekey>\n <themekey>ephemeral</themekey>\n <themekey>perennial</themekey>\n <themekey>headwaters</themekey>\n <themekey>streams</themekey>\n <themekey>intermittent</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>hydrographic datasets</themekey>\n <themekey>streamflow</themekey>\n <themekey>river systems</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5edd08c982ce7e579c6e48db</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Pacific Northwest</placekey>\n </place>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>Washington</placekey>\n <placekey>Oregon</placekey>\n <placekey>Idaho</placekey>\n <placekey>California</placekey>\n <placekey>Nevada</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>None. Users are advised to read the dataset\'s metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Emily D Heaston</cntper>\n <cntorg>U.S. Geological Survey, NW-PACIFIC ISLAND REG</cntorg>\n </cntperp>\n <cntpos>Fishery Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>3731 SW Jefferson Way</address>\n <city>Corvallis</city>\n <state>OR</state>\n <postal>97333</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>541-750-0955</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Funding for the development of the FLOwPER dataset was provided by the Bureau of Land Management.</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 10 Version 1809 (Build 17763.1282) Service Pack N/A; Esri ArcGIS Pro 2.4.1 (Build 19948) Service Pack N/A (Build N/A)</native>\n <crossref>\n <citeinfo>\n <origin>Ryan McShane</origin>\n <origin>Roy Sando</origin>\n <origin>David Hockman-Wert</origin>\n <pubdate>2017</pubdate>\n <title>Streamflow Observation Points in the Pacific Northwest, 1977-2016</title>\n <geoform>dataset</geoform>\n <pubinfo>\n <pubplace>https://www.sciencebase.gov</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/f7bv7fsp</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>The FLOwPER field survey dataset has not been reviewed for accuracy, including information related to the field survey such as geographic coordinates or geographic names. It is expected that contributors to the FLOwPER dataset collected field observations under good faith with best intentions within the limits of field conditions.</attraccr>\n </attracc>\n <logic>The FLOwPER field survey dataset has not been reviewed for accuracy, including information related to the field survey such as geographic coordinates or geographic names. It is expected that contributors to the FLOwPER dataset collected field observations under good faith with best intentions within the limits of field conditions.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted, or is not applicable..</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>These data were collected using the FLOwPER Field Form, which is a mobile application with versions programmed for commonly available mobile devices. FLOwPER is programmed into Survey123 (TM) (ArcGIS online, Environmental Systems Research Institute, https://www.esri.com/en-us/home). The FLOwPER field form is detailed in Jaeger and others, 2020 (doi:).\n\nData collected using the FLOwPER field form is uploaded to the FLOwPER group within the ArcGIS online environment. The feature layer is downloaded periodically from the ArcGIS online database as a Vector Digital Data Set (Point) and is an Esri Point Shapefile for long term archiving in this ScienceBase Data Release.</procdesc>\n <procdate>20200515</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Emily D Heaston</cntper>\n <cntorg>U.S. Geological Survey, NW-PACIFIC ISLAND REG</cntorg>\n </cntperp>\n <cntpos>Fishery Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>3731 SW Jefferson Way</address>\n <city>Corvallis</city>\n <state>OR</state>\n <postal>97333</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>541-750-0955</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>Point</sdtstype>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.000000001</latres>\n <longres>0.000000001</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>World Geodetic System 1984 (WGS 84)</horizdn>\n <ellips>WGS_1984</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257223563</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>FLOwPER_2019_Data.shp</enttypl>\n <enttypd>Attribute table data for FLOwPER_2019 shapefile.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>FID</attrlabl>\n <attrdef>Internal ID code</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Unbounded set of FID codes.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape*</attrlabl>\n <attrdef>Geometry of the layer (point, polyline or polygon). All data are point.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Point ZM</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Obs_Name</attrlabl>\n <attrdef>Name of person or entity providing data for this record</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>blank cell</edomv>\n <edomvd>Indicates that name of person or entity providing the data was not recorded.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Unbounded set of Observer Names</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Obs_Org</attrlabl>\n <attrdef>Professional organization of the observer. Blank cells indicate no organization specified.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>blank cell</edomv>\n <edomvd>Indicates that organization of person or entity providing the data was not recorded.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>USGS</edomv>\n <edomvd>US Geological Survey</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>USFS</edomv>\n <edomvd>US Forest Service</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>BLM</edomv>\n <edomvd>Bureau of Land Management</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ODF</edomv>\n <edomvd>Oregon Department of Fish</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>USFWS</edomv>\n <edomvd>US Fish and Wildlife Service</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NPS</edomv>\n <edomvd>National Park Service</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>EPA</edomv>\n <edomvd>Environmental Protection Agency</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NRCS</edomv>\n <edomvd>National Resources Conservation Service</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>DOGAMI</edomv>\n <edomvd>Oregon Department of Geology and Mineral Industries</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Private</edomv>\n <edomvd>Private citizen with no formal affiliation</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Commercial</edomv>\n <edomvd>Commercial affiliation</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Other</edomv>\n <edomvd>Organization not represented in the list.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Other_org</attrlabl>\n <attrdef>Organization not listed in Obs_Org.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>Indicates that organization is specified in the Obs_Org field or is unknown.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Unbounded set of organization names.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SampScheme</attrlabl>\n <attrdef>Observation collected opportunistically or following a specific sampling scheme.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Opportunistic</edomv>\n <edomvd>Collected points have not been predetermined through a defined sampling strategy</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Designed</edomv>\n <edomvd>Collected points are based on a predetermined \xe2\x80\x9cDesigned Statistical Sampling Scheme".</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Plot_ID</attrlabl>\n <attrdef>ID for an observation collected as part of a "Designed" sampling scheme.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>Indicates that there is no plot ID and observation is not part of a known sampling scheme.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Unbounded list of text</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Obs_Date</attrlabl>\n <attrdef>Date the observation was made.</attrdef>\n <attrdefs>Automatically collected from electronic device used to enter data.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>08/06/2019</rdommin>\n <rdommax>10/23/2019</rdommax>\n <attrunit>mm/dd/yyyy hh:mm:ss</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LATITUDE</attrlabl>\n <attrdef>Latitude, World Geodetic System 1984 (WGS 84)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>38.2998549444</rdommin>\n <rdommax>47.0046879631</rdommax>\n <attrunit>decimal degrees</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LONGITUDE</attrlabl>\n <attrdef>Longitude, World Geodetic System 1984 (WGS 84)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-124.171182637454</rdommin>\n <rdommax>-115.519863084</rdommax>\n <attrunit>decimal degrees</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Strm_Nm_YN</attrlabl>\n <attrdef>Value determines if USGS Geographic Names Information System or GNIS name is known.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Yes</edomv>\n <edomvd>USGS Geographic Names Information System or GNIS name is known.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>No</edomv>\n <edomvd>USGS Geographic Names Information System or GNIS name is not known.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Strm_Nm_Sp</attrlabl>\n <attrdef>Name of stream that can include abbreviations. May not correspond to USGS Geographic Names Information System.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>Stream name unknown or not available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Unbounded set of names that can include abbreviations.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Flow_Stat</attrlabl>\n <attrdef>Observation of presence of continuous streamflow, discontinuous streamflow, dry channel conditions or no data</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No Data</edomv>\n <edomvd>Flow status not availabe for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Continuous flow</edomv>\n <edomvd>Channel that has visible surface water over the full length of the 10-m (30-ft) observation reach. If there are multiple channels, only a single channel need have continuous flow for the entire reach to be categorized \xe2\x80\x9cContinuous Flow\xe2\x80\x9d.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Discontinuous flow</edomv>\n <edomvd>Channel where a portion of the length of the observation reach is dry across the full width of the active channel. If there are multiple channels, then all channels must be dry, at some point along their length. Discontinuous flow can only be assigned when a dry portion of the reach is observed.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Dry</edomv>\n <edomvd>Channel that has no flowing or standing water anywhere over the length of the 10-m (30-ft) observation reach.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Other</edomv>\n <edomvd>\n </edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Strm_Type</attrlabl>\n <attrdef>Stream channel type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No Data</edomv>\n <edomvd>Stream type not available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Natural channel</edomv>\n <edomvd>Indicates a stream channel without obvious human modifications.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Leveed or channelized</edomv>\n <edomvd>Indicates a natural stream that has been modified to channelize flow through human construction of a continuous dike, ridge, or embankment on one or both sides.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Ditch or Canal</edomv>\n <edomvd>Indicates a stream that has been diverted into a constructed ditch or channel where a natural channel did not previously exist, but it can also include a natural stream that is so modified that it now acts as a drainage ditch or canal.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Other</edomv>\n <edomvd>Indicates other stream type not listed.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>OthStrmTyp</attrlabl>\n <attrdef>Other stream type if not specified in the list</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>Default and indicates stream type is specified in Strm_Type field</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Unbounded set of stream types.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Substrate</attrlabl>\n <attrdef>Visual estimate of dominant channel bed substrate.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No Data</edomv>\n <edomvd>Substrate not available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Coarse sediment</edomv>\n <edomvd>Streambed dominated by sand, gravel, cobbles, or boulders</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Fine sediment</edomv>\n <edomvd>Streambed dominated by silt, clay, or organic rich mucks</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Bedrock</edomv>\n <edomvd>Large, continuous areas of solid rock on most of the channel bed.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>No Obvious Channel</edomv>\n <edomvd>Condition of no defined channel indicated as "Other" in Stream Type attribute.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Artificial</edomv>\n <edomvd>Streambed dominated by concrete, riprap, or other human-placed substrate.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RdCross_YN</attrlabl>\n <attrdef>Value of yes or no will indicate if observation was taken at a crossing.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No</edomv>\n <edomvd>Observation does not occur at a road or trail crossing.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Yes</edomv>\n <edomvd>Observation does occur at a road or trail crossing.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cross_Typ</attrlabl>\n <attrdef>Type of crossing across the stream.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No Data</edomv>\n <edomvd>Crossing type not applicable to or available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Culvert</edomv>\n <edomvd>Constructed enclosed structure.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Ford</edomv>\n <edomvd>Road-tracked or constructed crossing through the streambed</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Bridge</edomv>\n <edomvd>Bridge crossing</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Natural crossing</edomv>\n <edomvd>Not constructed crossing</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Other</edomv>\n <edomvd>Other road crossing type not listed.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>OthrCross</attrlabl>\n <attrdef>Type of crossing across the stream if not specified in list</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>No data available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Unbounded set of crossing types.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Obs_Dir</attrlabl>\n <attrdef>Direction of observation at crossing</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No Data</edomv>\n <edomvd>No data available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Downstream</edomv>\n <edomvd>Downstream of crossing</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Upstream</edomv>\n <edomvd>Upstream of crossing</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CrossNm_YN</attrlabl>\n <attrdef>Value of yes or no will indicate if crossing name is known.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>No data available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Yes</edomv>\n <edomvd>If crossing name is known.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>No</edomv>\n <edomvd>If crossing name is not known.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CrossNm_sp</attrlabl>\n <attrdef>Name of road or trail crossing</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>Indicates that no crossing name was known or specified.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Unbounded list of crossing names.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TribJnc_YN</attrlabl>\n <attrdef>Value of yes or no will indicate if observation is at a tributary junction.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Yes</edomv>\n <edomvd>If observation is at a tributary junction.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>No</edomv>\n <edomvd>If observation is not at a tributary junction.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TribJncTyp</attrlabl>\n <attrdef>Type of tributary junction</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No Data</edomv>\n <edomvd>Observation is not at a tributary.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>On mainstem - downstream of trib junction</edomv>\n <edomvd>On mainstem - downstream of trib junction</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>On mainstem upstream</edomv>\n <edomvd>On mainstem - upstream of trib junction</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>On mainstem downstream</edomv>\n <edomvd>On mainstem - downstream of trib</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>On tributary</edomv>\n <edomvd>On tributary</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DivJnc_YN</attrlabl>\n <attrdef>Value of yes or no will indicate if observation is at a diversion junction.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Yes</edomv>\n <edomvd>If observation is at a diversion junction.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>No</edomv>\n <edomvd>If observation is not at a diversion junction.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DivJncTyp</attrlabl>\n <attrdef>Type of diversion junction</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No Data</edomv>\n <edomvd>Observation is not at a diversion junction.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>On stream upstream</edomv>\n <edomvd>On stream - upstream of diversion junction</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>On diversion</edomv>\n <edomvd>On diversion</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>On Stream downstream</edomv>\n <edomvd>On stream - downstream of diversion junction</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ULCFlow_YN</attrlabl>\n <attrdef>Value of yes or no will indicate if observation is upstream limit of continuous flow.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Yes</edomv>\n <edomvd>If observation is upstream limit of continuous flow.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>No</edomv>\n <edomvd>If observation is not upstream limit of continuous flow.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ChnnlHd_YN</attrlabl>\n <attrdef>Value of yes or no will indicate if observation is at the channel head.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Yes</edomv>\n <edomvd>If observation is at the channel head.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>No</edomv>\n <edomvd>If observation is not at the channel head.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ChnnlHTyp</attrlabl>\n <attrdef>Type of channel head</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No Data</edomv>\n <edomvd>Observation is not at a channel head.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Continuous</edomv>\n <edomvd>Continuous flow through observation reach.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Discontinuous</edomv>\n <edomvd>Discontinuous flow through observation reach.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>JudgmtCall</attrlabl>\n <attrdef>Predicted assessment of stream flow. If observer is estimating the expected condition at late summer low flow.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No Data</edomv>\n <edomvd>No data available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Likely to be perennial</edomv>\n <edomvd>Likely to be perennial</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Likely intermittent</edomv>\n <edomvd>Likely to be intermittent</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Likely ephemeral</edomv>\n <edomvd>Likely to be ephemeral</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Likely upstream limit of continuous \nperennial flow</edomv>\n <edomvd>Likely upstream limit of continuous \nperennial flow</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ChnnlWdth</attrlabl>\n <attrdef>Estimated bankfull width, in meters</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No Data</edomv>\n <edomvd>No data available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv><1 meter</edomv>\n <edomvd><1 meter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1-2 meters</edomv>\n <edomvd>1-2 meters</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2-5 meters</edomv>\n <edomvd>2-5 meters</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>>5 meters</edomv>\n <edomvd>>5 meters</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ValFlrWdth</attrlabl>\n <attrdef>Estimated active valley floor width (as a multiple of active channel width).</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No Data</edomv>\n <edomvd>No data available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1x</edomv>\n <edomvd>Valley floor width is 1 time (the same width) the bankfull (active) channel width.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2x</edomv>\n <edomvd>Valley floor width is 2 times the bankfull (active) channel width.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>3x</edomv>\n <edomvd>Valley floor width is 3 times the bankfull (active) channel width.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>4x</edomv>\n <edomvd>Valley floor width is 4 times the bankfull (active) channel width.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>5+x</edomv>\n <edomvd>Valley floor width is 5 or more times the bankfull (active) channel width.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Max_Depth</attrlabl>\n <attrdef>Measured maximum water depth in observation reach.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>10000</edomv>\n <edomvd>No data available for this record; 10,000 is the default no data value.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>10000</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Max_Units</attrlabl>\n <attrdef>Units of maximum water depth</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No Data</edomv>\n <edomvd>No data available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>inches</edomv>\n <edomvd>inches</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>cm</edomv>\n <edomvd>cm</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Max_Type</attrlabl>\n <attrdef>Type of maximum water depth observation.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>None</edomv>\n <edomvd>No max depth measurement was taken.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Measured</edomv>\n <edomvd>Measured</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Exceeds recorded value</edomv>\n <edomvd>If water depth is greater than what is recorded.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Notes</attrlabl>\n <attrdef>Additional notes about observation.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>No notes were recorded for this entry.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Unbounded list of text.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GlobalID</attrlabl>\n <attrdef>GlobalID</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Unbounded set of GlobalID codes.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CreationDa</attrlabl>\n <attrdef>Date observation was collected. Should be the same data as Obs_Date.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>07/25/2019</rdommin>\n <rdommax>5/13/2020</rdommax>\n <attrunit>days</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Creator</attrlabl>\n <attrdef>ArcGIS Online account user that uploaded observation to the ArcGIS online feature layer.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Unbounded list of Creators.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EditDate</attrlabl>\n <attrdef>The last edit date. Can include the date it was uploaded to the ArcGIS online feature layer.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>08/06/2019</rdommin>\n <rdommax>6/11/2020</rdommax>\n <attrunit>days</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Editor</attrlabl>\n <attrdef>The ArcGIS Online account user that last edited the data.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Unbounded list of editors.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Photo_Name</attrlabl>\n <attrdef>The photo file name. The photo name follows the format \'site_photo-Obs_Date-photoID.JPG; (e.g., "site_photo-20190726-004722.jpg\') and matches the name of the photo in FLOwPER_2019_Photos.zip file. Individual photo metadata for each photo includes Credit Line: FLOwPER Database, Source https://doi.org.10.5066/P91ZA4J4 , and Copyright Status Public Domain.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>No data available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Unbounded list of photo names.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PhotoNm_A1</attrlabl>\n <attrdef>The photo file name. The photo name follows the format \'site_photo-Obs_Date-photoID.JPG; (e.g., "site_photo-20190726-004722.jpg\') and matches the name of the photo in FLOwPER_2019_Photos.zip file. Individual photo metadata for each photo includes Credit Line: FLOwPER Database, Source https://doi.org.10.5066/P91ZA4J4 , and Copyright Status Public Domain.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>No data available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Unbounded list of photo names.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PhotoNm_A2</attrlabl>\n <attrdef>The photo file name. The photo name follows the format \'site_photo-Obs_Date-photoID.JPG; (e.g., "site_photo-20190726-004722.jpg\') and matches the name of the photo in FLOwPER_2019_Photos.zip file. Individual photo metadata for each photo includes Credit Line: FLOwPER Database, Source https://doi.org.10.5066/P91ZA4J4 , and Copyright Status Public Domain.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>No data available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Unbounded list of photo names.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Orig_GID</attrlabl>\n <attrdef>Original GlobalID associated with the original online geodatabase saved as a text field.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>Unbounded list of GlobalID codes.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>AccuracyH</attrlabl>\n <attrdef>GPS horizontal accuracy in meters.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>No data available for this record.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>m</attrunit>\n <attrmres>0.01</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. No warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P91ZA4J4</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20220926</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Kristin L Jaeger</cntper>\n <cntorg>U.S. Geological Survey, NW-PACIFIC ISLAND REG</cntorg>\n </cntperp>\n <cntpos>Research Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>934 Broadway</address>\n <city>Tacoma</city>\n <state>WA</state>\n <postal>98402</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>253-552-1617</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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5. [Informing Adaptation Strategies for Maintaining Landscape Connectivity for Northern Rockies Wildlife](/catalog/item/55119ae6e4b02e76d75b516b)
6. [Approved DataSets](/catalog/item/5515a047e4b0323842781805)
7. [Informing adaptation strategies for maintaining landscape connectivity for Northern Rockies wildlife in the face of climate change](/catalog/item/5841b45de4b04fc80e518c25)
8. [Potential climate change impacts on Greater sage grouse connectivity in the U.S. Northern Rockies](/catalog/folder/5867e0d4e4b0cd2dabe7c76a)
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## Dates
Publication Date2017-05
## Citation
Beltran, B., McClure, M., and Hostetler, S., 2017, Informing adaptation strategies for maintaining landscape connectivity for Northern Rockies wildlife in the face of climate change: U.S. Geological Survey data release, https://doi.org/10.5066/F7VM49FN.
## Summary
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife, 2) estimate how \[...\]
## Summary
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife, 2) estimate how wildlife species of concern are expected to respond to these changes, 3) develop climate-smart strategies to help stakeholders manage public and private lands in ways that allow wildlife to continue to move in response to changing conditions, and 4) explore how well existing management plans and conservation efforts are expected to support crucial connections for wildlife under climate change. We assessed vulnerability of eight wildlife species and four biomes to climate change, with a focus on potential impacts to connectivity. Our assessment provides some insights about where these species and biomes may be most vulnerable or most resilient to loss of connectivity and how this information could support climate-smart management action. We also encountered high levels of uncertainty in how climate change is expected to alter vegetation and how wildlife are expected to respond to these changes. This uncertainty limits the value of our assessment for informing proactive management of climate change impacts on both species-specific and biome-level connectivity (although biome-level assessments were subject to fewer sources of uncertainty). We offer suggestions for improving the management relevance of future studies based on our own insights and those of managers and biologists who participated in this assessment and provided critical review of this report.
## Contacts
Point of Contact
:
[Center for Large Landscape Conservation](/catalog/catalogParty/show?partyId=Center+for+Large+Landscape+Conservation)
Originator
:
[Bray Beltran](/catalog/catalogParty/show?partyId=Bray+Beltran),
[Meredith McClure](/catalog/catalogParty/show?partyId=Meredith+McClure),
[Steve Hostetler](/catalog/catalogParty/show?partyId=Steve+Hostetler)
Metadata Contact
:
[Conservation Science Partners](/catalog/catalogParty/show?partyId=Conservation+Science+Partners)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey+-+ScienceBase)
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:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
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| --- | --- | --- | --- |
| sage\_grouse\_metadata\_FGDC.xml<br>_Original FGDC Metadata_ | View | 15.93 KB | application/fgdc+xml |
| | | |
| --- | --- | --- |
| Sage\_Grouse.mpk | | 1.95 MB |
| thumbnail.png |  | 15.87 KB |
Extension:
Sage\_Grouse\_mpk.zip
## Purpose
The purpose of these map layers is to portray our best estimates of the potential impacts of future climate-induced changes in vegetation on focal species habitat quality and major U.S. Northern Rockies biomes based on three available models projecting future vegetation, along with multiple sources of uncertainty surrounding these estimates. Please see the accompanying report for further details.
## Rights
No restrictions, but the user assumes all responsibility for appropriate use of the data
## Preview Image
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## [Map](/catalog/item/imap/5867e0d4e4b0cd2dabe7c76a)
[](/catalog/item/imap/5867e0d4e4b0cd2dabe7c76a)
## Communities
- National and Regional Climate Adaptation Science Centers
- North Central CASC
## Associated Items
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- _related to_ [Final Report: Informing Adaptation Strategies for Maintaining Landscape Connectivity for Northern Rockies Wildlife](/catalog/item/58de80dce4b02ff32c69a0d7 "Final Report: Informing Adaptation Strategies for Maintaining Landscape Connectivity for Northern Rockies Wildlife")
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## Tags
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- [Connectivity](/catalog/items?q=&filter=tags%3DConnectivity "Connectivity (Connectivity, Theme, None)")
- [Environment and Conservation](/catalog/items?q=&filter=tags%3DEnvironment+and+Conservation "Environment and Conservation (Environment and Conservation, Theme, None)")
- [Greater sage grouse](/catalog/items?q=&filter=tags%3DGreater+sage+grouse "Greater sage grouse (Greater sage grouse, Theme, None)")
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## Provenance
Data sourceInput directly
## Additional Information
### ArcGIS Map Package Extension
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| size | 2049762 |
| dateUploaded | Sat Dec 31 09:45:12 MST 2016 |
| originalMetadata | true |
| checksum | | value | be3ea7858bddcc39da578a54e0c73d7a |
| type | MD5 | |
| name | thumbnail.png |
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| name | Sage\_Grouse.mpk |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Bray Beltran</origin>\n <origin>Meredith McClure</origin>\n <origin>Steve Hostetler</origin>\n <pubdate>201705</pubdate>\n <title>Potential climate change impacts on Greater sage grouse connectivity in the U.S. Northern Rockies</title>\n <geoform>Tabular Digital Data</geoform>\n <onlink>https://doi.org/10.5066/F7VM49FN</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Bray Beltran</origin>\n <origin>Steve Hostetler</origin>\n <origin>Meredith McClure</origin>\n <pubdate>201705</pubdate>\n <title>Informing adaptation strategies for maintaining landscape connectivity for Northern Rockies wildlife in the face of climate change: challenges and limitations</title>\n <geoform>USGS Collaborator Report</geoform>\n <onlink>https://www.sciencebase.gov/catalog/item/58de80dce4b02ff32c69a0d7</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife, 2) estimate how wildlife species of concern are expected to respond to these changes, 3) develop climate-smart strategies to help stakeholders manage public and private lands in ways that allow wildlife to continue to move in response to changing conditions, and 4) explore how well existing management plans and conservation efforts are expected to support crucial connections for wildlife under climate change. We assessed vulnerability of eight wildlife species and four biomes to climate change, with a focus on potential impacts to connectivity. Our assessment provides some insights about where these species and biomes may be most vulnerable or most resilient to loss of connectivity and how this information could support climate-smart management action. We also encountered high levels of uncertainty in how climate change is expected to alter vegetation and how wildlife are expected to respond to these changes. This uncertainty limits the value of our assessment for informing proactive management of climate change impacts on both species-specific and biome-level connectivity (although biome-level assessments were subject to fewer sources of uncertainty). We offer suggestions for improving the management relevance of future studies based on our own insights and those of managers and biologists who participated in this assessment and provided critical review of this report.</abstract>\n <purpose>The purpose of these map layers is to portray our best estimates of the potential impacts of future climate-induced changes in vegetation on focal species habitat quality and major U.S. Northern Rockies biomes based on three available models projecting future vegetation, along with multiple sources of uncertainty surrounding these estimates. Please see the accompanying report for further details.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>20161212</caldate>\n </sngdate>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-117.049289</westbc>\n <eastbc>-108.528169</eastbc>\n <northbc>49.005950</northbc>\n <southbc>41.894474</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>natural resource management</themekey>\n <themekey>climate change</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Connectivity</themekey>\n <themekey>Environment and Conservation</themekey>\n <themekey>Greater sage grouse</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>environment</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Categories</themekt>\n <themekey>environment</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5867e0d4e4b0cd2dabe7c76a</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Rocky Mountains</placekey>\n </place>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>United States</placekey>\n <placekey>Idaho</placekey>\n <placekey>Montana</placekey>\n <placekey>Wyoming</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None, but the user assumes all responsibility for appropriate use of the data. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>Center for Large Landscape Conservation</cntorg>\n </cntorgp>\n <cntpos>Spatial Ecologist</cntpos>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>P.O. Box 1587</address>\n <city>Bozeman</city>\n <state>MT</state>\n <postal>59771</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>406-586-8082</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Funding was provided by the North Central Climate Science Center and the M.J. Murdock Charitable Trust.</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.1 (Build 3497) Service Pack N/A (Build N/A)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Rehfeldt, G.E., N.L. Crookston, C. Saenz-Romero, E.M. Campbell</origin>\n <pubdate>20120101</pubdate>\n <title>North American vegetation model for land-use planning in a changing climate: a solution to large classification problems.</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Moscow Forestry Sciences Laboratory</pubplace>\n <publish>G.E. Rehfeldt</publish>\n </pubinfo>\n <onlink>http://forest.moscowfsl.wsu.edu/climate</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20120101</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Climate Niche Model</srccitea>\n <srccontr>Vegetation change projected by climate niche model</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Hanser, S.E.</origin>\n <pubdate>2013</pubdate>\n <title>Estimated potential for sage-grouse movement</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>online</pubplace>\n <publish>USGS</publish>\n </pubinfo>\n <onlink>https://databasin.org/datasets/1e758742fd8745518fde0dd93dc6dfa0</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2013</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Estimated potential for sage grouse movement</srccitea>\n <srccontr>Connectivity areas</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>LANDFIRE</origin>\n <pubdate>20140101</pubdate>\n <title>LandFire Existing Vegetation Type</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>USGS</pubplace>\n <publish>USGS</publish>\n </pubinfo>\n <onlink>http://www.landfire.gov/NationalProductDescriptions21.php</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20140101</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Existing vegetation type</srccitea>\n <srccontr>Existing vegetation type</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Bachelet, D., T. Sheehan, K. Ferschweiler, J. Abatzoglou.</origin>\n <pubdate>20160101</pubdate>\n <title>Simulating vegetation change, carbon cycling and fire over the western US using CMIP5 climate projections.</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>University of Idaho</pubplace>\n <publish>D. Bachelet</publish>\n </pubinfo>\n <onlink>http://climate.nkn.uidaho.edu/IntegratedScenarios/vegetationprojections.php</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20160101</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Dynamic vegetation model 2</srccitea>\n <srccontr>Vegetation change projected by dynamic vegetation model 2</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Shafer, S.L., P.J. Bartlein, E.M. Gray, R.T. Pelltier.</origin>\n <pubdate>20150101</pubdate>\n <title>Projected future vegetation changes for the northwest United States and Southwest Canada at a fine spatial resolution using a dynamic global vegetation model.</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>USGS</pubplace>\n <publish>S.L. Shafer</publish>\n </pubinfo>\n <onlink>http://www.usgs.gov/climate_landuse/clu_rd/nccv.asp</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20150101</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Dynamic vegetation model 1</srccitea>\n <srccontr>Vegetation change projected by dynamic vegetation model 1</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Reclassified existing vegetation type into coarse biomes (alpine, forest, shrubland, grassland) as well as water and anthropogenic types, then for each vegetation model (Climate niche model, dynamic vegetation models 1 and 2) reclassified as 0 if biome type matched the vegetation model\xc3\xads contemporary biome type and 1 if biome type did not match.</procdesc>\n <procdate>20160101</procdate>\n </procstep>\n <procstep>\n <procdesc>Reclassified contemporary and projected vegetation types projected by unique GCM/emissions scenario combinations generated by the modeling approach as suitable, marginal, or unsuitable for focal species based on expert questionnaire responses, (or target/non-target biome type), scored potential impacts of projected transitions from contemporary to 2030 and to 2060 vegetation types from -1 to 1, and identified the mode (most frequent) potential impact score across GCM/emissions scenarios for each raster cell. See report for further details.</procdesc>\n <procdate>20160101</procdate>\n </procstep>\n <procstep>\n <procdesc>Counted the number of individual projections from unique GCM/emissions scenario combinations generated by a given modeling approach that matched the mode potential impact score assigned each raster cell.</procdesc>\n <procdate>20160101</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Denver Federal Center</address>\n <address>Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Tabular Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7VM49FN</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200814</metd>\n <metc>\n <cntinfo>\n <cntorgp>\n <cntorg>Conservation Science Partners</cntorg>\n <cntper>Meredith McClure</cntper>\n </cntorgp>\n <cntpos>Lead Scientist</cntpos>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Suite 202</address>\n <address>11050 Pioneer Trail</address>\n <city>Truckee</city>\n <state>CA</state>\n <postal>96161</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>530-214-8905</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <mettc>local time</mettc>\n </metainfo>\n</metadata>" |
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3. [Digital geologic map data for the Ozark National Scenic Riverways and adjacent areas along the Current River and Jacks Fork, Missouri](/catalog/folder/5698119de4b039675d04911f)
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## Dates
Start Date1999End Date2016Publication Date2016-07-11
## Citation
Weary, D.J., Orndorff, R.C., Harrison, R.W., and Weems, R.E., 2016, Digital geologic map data for the Ozark National Scenic Riverways and adjacent areas along the Current River and Jacks Fork, Missouri: U.S. Geological Survey data release, https://doi.org/10.5066/F7CJ8BKB.
## Summary
The geology of the Ozark National Scenic Riverways (ONSR) in southern Missouri has been mapped at 1:24,000 scale. This was achieved through the combined efforts of U.S. Geological Survey and Missouri Geological Survey individual quadrangle mapping and additional field work by the authors of this report. Geologic data covering the area of the ONSR, which also includes a 1 mile buffer zone surrounding the park, as well as a few key adjoining areas, have been compiled into a single, seamless GIS database. The intent is to provide base geologic information for natural science research and land management in the park and surrounding areas. Additional detailed geologic information about the ONSR and surrounding areas is available in the \[...\]
## Summary
The geology of the Ozark National Scenic Riverways (ONSR) in southern Missouri has been mapped at 1:24,000 scale. This was achieved through the combined efforts of U.S. Geological Survey and Missouri Geological Survey individual quadrangle mapping and additional field work by the authors of this report. Geologic data covering the area of the ONSR, which also includes a 1 mile buffer zone surrounding the park, as well as a few key adjoining areas, have been compiled into a single, seamless GIS database. The intent is to provide base geologic information for natural science research and land management in the park and surrounding areas. Additional detailed geologic information about the ONSR and surrounding areas is available in the separate 1:24,000 scale quadrangle maps and in a 1:100,000 scale map and report on the regional geology [_(Weary and others, 2014)_](https://pubs.er.usgs.gov/publication/sim3280).
The geologic map data are provided as ESRI file geodatabase feature classes, related tables, and layer files organized under an ESRI ArcMap version 10.2 .mxd file (ozar\_geology.mxd) so that colors, labeling, and data relates remain intact after downloading by the user. The database structure follows the National Park Service Geologic Resources Evaluation Geology-GIS Geodatabase Data Model. Copies of individual shapefile versions of the feature data may be requested from the lead author.
Associated, external FGDC metadata files, both at the project and at the feature class level, are also available for download.
Reference:
Weary, D.J., Harrison, R.W., Orndorff, R.C., Weems, R.E., Schindler, J.S., Repetski, J.E., and Pierce, H.A., 2014, Bedrock geologic map of the Spring Valley, West Plains, and parts of the Piedmont and Poplar Bluff 30' × 60' quadrangles, Missouri, including the upper Current River and Eleven Point River drainage basins: U.S. Geological Survey Scientific Investigations Map 3280, 2 sheets, scale 1:100,000, and 55-p. pamphlet, http://dx.doi.org/10.3133/sim3280.
## Contacts
Author
:
[David J Weary](/catalog/catalogParty/show?partyId=11005),
[Randall C Orndorff](/catalog/catalogParty/show?partyId=7734),
[Richard W Harrison](/catalog/catalogParty/show?partyId=4285),
[Robert E Weems](/catalog/catalogParty/show?partyId=11035)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
Metadata Contact
:
[David J Weary](/catalog/catalogParty/show?partyId=11005)
USGS Mission Area
:
[Core Science Systems](/catalog/catalogParty/show?partyId=Core+Science+Systems)
SDC Data Owner
:
[Florence Bascom Geoscience Center](/catalog/catalogParty/show?partyId=17229)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5698119de4b039675d04911f?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5698119de4b039675d04911f?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5698119de4b039675d04911f?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| OZProjectmeta\_FGDC.xml<br>“ONSR Geology project metadata”<br>_Original FGDC Metadata_ | View | 26.39 KB | application/fgdc+xml |
| ONSR\_geology.zip<br>“ONSR Geologic map data in ArcGIS 10.2 file geodatabase” | | 7.51 MB | application/zip |
| OzFeatureFGDCmeta.zip<br>“ONSR Geology feature class metadata” | | 59.32 KB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Weary, D.J., Orndorff, R.C., Harrison, R.W., and Weems, R.E., 2016, Digital geologic map data for the Ozark National Scenic Riverways and adjacent areas along the Current River and Jacks Fork, Missouri: U.S. Geological Survey Data Series 1017, 14 p., http://dx.doi.org/10.3133/ds1017. | [http://dx.doi.org/10.3133/ds1017](http://dx.doi.org/10.3133/ds1017 "http://dx.doi.org/10.3133/ds1017") |
## Purpose
Geologic map data were created and compiled to provide seamless 1:24,000 scale coverage for an area that contains the entire Ozark National Scenic Riverways (ONSR) and completes a geologic inventory sponsored by the National Park Service (NPS), Geologic Resources Division. These data are intended to provide geologic information to ONSR personnel and their scientific cooperators for use in various natural resource and land classification studies.
## Rights
Copyright: Government material is not copyrighted. Proper credit format: U.S. Geological Survey
## [Map](/catalog/item/imap/5698119de4b039675d04911f)
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| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7CJ8BKB |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>David J. Weary</origin>\n <origin>Randall C. Orndorff</origin>\n <origin>Richard W. Harrison</origin>\n <origin>Robert E. Weems</origin>\n <pubdate>2016</pubdate>\n <title>Digital geologic map data for the Ozark National Scenic Riverways and adjacent areas along the Current River and Jacks Fork, Missouri</title>\n <geoform>Vector Digital Data Set (Polyline)</geoform>\n <serinfo>\n <sername>Data Release</sername>\n <issue>10.5066/F7CJ8BKB</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7CJ8BKB</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The geology of the Ozark National Scenic Riverways (ONSR) in southern Missouri has been mapped at 1:24,000 scale. This was achieved through the combined efforts of U.S. Geological Survey and Missouri Geological Survey individual 7.5 minute quadrangle mapping and additional field work by the authors of this report. Geologic data covering the area of the ONSR, which also includes a 1 mile buffer zone surrounding the park, as well as a few key adjoining areas, have been compiled into a single, seamless GIS database.</abstract>\n <purpose>The intent of these data is to provide base geologic information for natural science research and land management in the park and surrounding areas. These data are provided in ESRI geodatabase format and are accompanied by the explanatory information in this document and in metadata files. Additional detailed geologic information about the Ozark National Scenic Riverways (ONSR) and surrounding areas is available in the separate 1:24,000 scale quadrangle maps and in a 1:100,000 scale map and report on the regional geology (Weary and others, 2014).</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>2016</caldate>\n </sngdate>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-91.782969</westbc>\n <eastbc>-90.853009</eastbc>\n <northbc>37.480710</northbc>\n <southbc>36.799117</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>Geology, Bedrock, Surficial, Karst, Hydrology, Minerals, Groundwater</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Categories</themekt>\n <themekey>geoscientificInformation</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5698119de4b039675d04911f</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>United States, Missouri, Ozarks, Ozark National Scenic Riverways, Carter County, Shannon County, Texas County, Dent County</placekey>\n </place>\n <place>\n <placekt>None</placekt>\n <placekey>United States, Missouri, Ozarks, Ozark National Scenic Riverways, Carter County, Shannon County, Texas County, Dent County</placekey>\n </place>\n </keywords>\n <accconst>None</accconst>\n <useconst>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey, Northeast Region</cntorg>\n <cntper>David J. Weary</cntper>\n </cntorgp>\n <cntpos>Research Geologist</cntpos>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Mail Stop 926A, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-6897</cntvoice>\n <cntfax>703-648-6953</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>These data are a product of the USGS National Cooperative Geologic Mapping Program (NCGMP) and the NPS Geologic Resources Inventory (GRI) program which is funded by the Inventory and Monitoring (I&M) Division, and administered by the NPS Geologic Resources Division (GRD).</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 10.2 (Build 3497) Service Pack [N/A] (Build [N/A])</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Randall C. Orndorff</origin>\n <origin>David J. Weary</origin>\n <pubdate>2009</pubdate>\n <title>Geologic map of the Round Spring quadrangle, Shannon County, Missouri</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://pubs.usgs.gov/sim/3073/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2009</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Orndorff and Weary, 2009</srccitea>\n <srccontr>Geology of the Round Spring quadrangle</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>David J. Weary</origin>\n <origin>Robert E. Weems</origin>\n <pubdate>2004</pubdate>\n <title>Geologic map of the Van Buren North quadrangle, Carter, Reynolds, and Shannon Counties, Missouri</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://pubs.usgs.gov/imap/i2802/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2004</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Weary and Weems, 2004</srccitea>\n <srccontr>Geology of the Van Buren North quadrangle</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Richard W. Harrison</origin>\n <origin>Randall C. Orndorff</origin>\n <origin>David J. Weary</origin>\n <pubdate>2002</pubdate>\n <title>Geology of the Stegall Mountain 7.5-minute quadrangle, Shannon and Carter Counties, south-central Missouri</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://pubs.usgs.gov/imap/i2767/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2002</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Harrison and others, 2002</srccitea>\n <srccontr>Geology of the Stegall Mountain quadrangle</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Randall C. Orndorff</origin>\n <origin>Richard W. Harrison</origin>\n <origin>David J. Weary</origin>\n <pubdate>1999</pubdate>\n <title>Geologic map of the Eminence quadrangle, Shannon County, Missouri</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://pubs.usgs.gov/imap/i-2653/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1999</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Orndorff and others, 1999</srccitea>\n <srccontr>Geology of the Eminence quadrangle</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Weary, D.J., Harrison, R.W., Orndorff, R.C., Weems, R.E., Schindler, J.S., Repetski, J.E., and Pierce, H.A.</origin>\n <pubdate>2014</pubdate>\n <title>Bedrock geologic map of the Spring Valley, West Plains, and parts of the Piedmont and Poplar Bluff 30\xe2\x80\xb2\xc3\x9760\xe2\x80\xb2 quadrangles, Missouri, including the upper Current River and Eleven Point River drainage basins</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.3133/sim3280</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2014</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Weary and others, 2014</srccitea>\n <srccontr>Geologic coverage outside of 7.5 minute quadrangles mapped</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>David J. Weary</origin>\n <pubdate>2014</pubdate>\n <title>Geologic map of the Montauk quadrangle, Dent, Texas, and Shannon Counties, Missouri</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geolgical Survey</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.3133/sim3320</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2014</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Weary, 2014</srccitea>\n <srccontr>Geology of the Montauk quadrangle</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Weary, D.J., and Orndorff, R.C.</origin>\n <origin>Randall C. Orndorff</origin>\n <pubdate>2012</pubdate>\n <title>Geologic Map of the Alley Spring quadrangle, Shannon County, Missouri</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://pubs.usgs.gov/sim/3161/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2012</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Weary and Orndorff, 2012</srccitea>\n <srccontr>Geology of the Alley Spring quadrangle</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Baker, H.</origin>\n <pubdate>1999</pubdate>\n <title>Bedrock geologic map of the Grandin SW 7.5\xe2\x80\x99 quadrangle</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Rolla, Missouri</pubplace>\n <publish>Missouri Geological Survey</publish>\n </pubinfo>\n <onlink>http://dnr.mo.gov/geology/statemap/poplarbluff/PB9916.htm</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1999</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Baker, 1999a</srccitea>\n <srccontr>Bedrock geology of the Grandin SW quadrangle</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Baker, H.</origin>\n <pubdate>1999</pubdate>\n <title>Surficial material geologic map of the Grandin SW 7.5-minute quadrangle</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Rolla, Missouri</pubplace>\n <publish>Missouri Geological Survey</publish>\n </pubinfo>\n <onlink>http://dnr.mo.gov/geology/statemap/poplarbluff/PB9917.htm</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1999</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Baker, 1999b</srccitea>\n <srccontr>Surficial materials of the Grandin SW quadrangle</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Weary, D.J.</origin>\n <pubdate>2008</pubdate>\n <title>Geologic map of the Cedargrove quadrangle, Dent and Shannon Counties, Missouri</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://pubs.usgs.gov/sim/2980/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2008</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Weary, 2008</srccitea>\n <srccontr>Geology of the Cedargrove quadrangle</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>McDowell, R.C., and Harrison, R.W.</origin>\n <pubdate>2000</pubdate>\n <title>Geologic map of the Powder Mill Ferry 7.5-minute quadrangle, Shannon and Reynolds Counties, Missouri</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://pubs.usgs.gov/imap/i-2722/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2000</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>McDowell and Harrison, 2000</srccitea>\n <srccontr>Geology of the Powder Mill Ferry quadrangle</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Weary, D.J., and Schindler, J.S.</origin>\n <pubdate>2004</pubdate>\n <title>Geologic map of the Van Buren South quadrangle, Carter County, Missouri</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://pubs.usgs.gov/imap/i2803/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2004</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Weary and Schindler, 2004</srccitea>\n <srccontr>Geology of the Van Buren South quadrangle</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Weary, D.J., Orndorff, R.C., and Repetski, J.E.</origin>\n <pubdate>2013</pubdate>\n <title>Geologic Map of the Jam Up Cave and Pine Crest quadrangles, Shannon, Texas, and Howell Counties, Missouri</title>\n <geoform>hardcopy</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://pubs.usgs.gov/sim/3248/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2013</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Weary and others, 2013</srccitea>\n <srccontr>Geology of the Jam Up Cave and Pine Crest quadrangles</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Data in this report were compiled chiefly from published geologic map databases generated by the USGS and the Missouri Geological Survey. Polygons delimiting areas of mapped surficial units were compiled into a single data set. Discrepancies of unit and contact locations at quadrangle boundaries were smoothed based on interpretations by D. Weary (USGS). Gaps in coverage outside of the previously mapped quadrangles were filled in based on fieldwork and interpretation of the topography by D. Weary. Once coverage of the map area was complete, a topology was created to enforce rules of no overlaps between polygons and no gaps in areas internal to polygon areas. Lines marking the contacts of the surficial units were generated from the polygons. These lines were then attributed with descriptive values consistent with the National Park Service (NPS) data model in a flat data table. The GIS data were then provided to the NPS for additional process steps.</procdesc>\n <procdate>20130101</procdate>\n </procstep>\n <procstep>\n <procdesc>The GIS data were passed back to the USGS authors for review and ultimate USGS publication at ScienceBase.</procdesc>\n <procdate>20140101</procdate>\n </procstep>\n <procstep>\n <procdesc>At the NPS (Stephanie O'Meara, Geologist/GIS Specialist/Data Manager, [email protected]) GIS features were first imported into a GRI data model compliant geodatabase. For details on the GRI data model see the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1 (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). 1.) Line quality was checked and if warranted edited to ensure good quality linework. 2.) Feature attribution was derived using the source data attribution, and the source printed/plotted map if available. 3.) Data Model topology rules were validated for all features and any topology errors corrected. 4.) Quality control (QC) consisted of checking features and their attribution against the source digital data. A GRI developed script (QC_Script) was run to check for GRI data model validation and feature-related consistency. 5.) The UNIT and MAP tables were populated and checked against the source (s). Relationship classes were also added and used to ensure attribution consistency between feature class and table attribution. 6.) Feature symbology was produced for all feature classes. An attempt was made to best match symbology to its source map, however, in some cases features symbology maybe slightly modified, primarily based on the limitations of the ArcGIS geology style. In some cases, however, symbology may have been modified to reconcile differences from multiple sources. 7.) GIS feature classes were exported from the geodatabase to Layer (LYR) files, and GIS tables exported to DBASEIV (DBF) format.</procdesc>\n <procdate>20140101</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Vector</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>Entity point</sdtstype>\n <ptvctcnt>1871</ptvctcnt>\n </sdtsterm>\n <sdtsterm>\n <sdtstype>String</sdtstype>\n <ptvctcnt>822</ptvctcnt>\n </sdtsterm>\n <sdtsterm>\n <sdtstype>GT-polygon composed of chains</sdtstype>\n <ptvctcnt>137</ptvctcnt>\n </sdtsterm>\n <sdtsterm>\n <sdtstype>String</sdtstype>\n <ptvctcnt>143</ptvctcnt>\n </sdtsterm>\n <sdtsterm>\n <sdtstype>String</sdtstype>\n <ptvctcnt>33</ptvctcnt>\n </sdtsterm>\n <sdtsterm>\n <sdtstype>GT-polygon composed of chains</sdtstype>\n <ptvctcnt>1613</ptvctcnt>\n </sdtsterm>\n <sdtsterm>\n <sdtstype>String</sdtstype>\n <ptvctcnt>5043</ptvctcnt>\n </sdtsterm>\n <sdtsterm>\n <sdtstype>String</sdtstype>\n <ptvctcnt>2011</ptvctcnt>\n </sdtsterm>\n <sdtsterm>\n <sdtstype>GT-polygon composed of chains</sdtstype>\n <ptvctcnt>658</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>NAD 1983 UTM Zone 15N</mapprojn>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-93.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000.0</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.000000002220024164500955</absres>\n <ordres>0.000000002220024164500955</ordres>\n </coordrep>\n <plandu>meter</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D North American 1983</horizdn>\n <ellips>GRS 1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n <cntper>ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Distributor assumes no liability for misuse of data. Although all data released in this report have been used by the USGS, no warranty, expressed or implied, is made by the USGS as to the accuracy of the data and related materials and (or) the functioning of the software. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Vector Digital Data Set (Polyline)</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7CJ8BKB</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200819</metd>\n <metc>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey, Northeast Region</cntorg>\n <cntper>David J. Weary</cntper>\n </cntorgp>\n <cntpos>Research Geologist</cntpos>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Mail Stop 926A, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-6897</cntvoice>\n <cntfax>703-648-6953</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <mettc>local time</mettc>\n </metainfo>\n</metadata>" |
Generate a FGDC (Federal Geographic Data Committee) XML from following description of datarelease: | [Skip to main content](#sb-container-body)
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4. [GIS for focus areas of potential domestic resources of 11 critical minerals—aluminum, cobalt, graphite, lithium, niobium, platinum group elements, rare earth elements, tantalum, tin, titanium, and tungsten (version 2.0, August 2020)](/catalog/folder/5f344f1882cee144fb32e391)
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## Dates
Publication Date2020-05-28Last Revision2020-08-14
## Citation
Dicken, C.L., and Hammarstrom, J.M., 2020, GIS for focus areas of potential domestic resources of 11 critical minerals—aluminum, cobalt, graphite, lithium, niobium, platinum group elements, rare earth elements, tantalum, tin, titanium, and tungsten (version 2.0, August 2020): U.S. Geological Survey data release, https://doi.org/10.5066/P9U6SODG.
## Summary
In response to Executive Order 13817 of December 20, 2017, the U.S. Geological Survey (USGS) coordinated with the Bureau of Land Management (BLM) to identify 35 nonfuel minerals or mineral materials considered critical to the economic and national security of the United States (U.S.) (https://pubs.usgs.gov/of/2018/1021/ofr20181021.pdf). Acquiring information on possible domestic sources of these critical minerals is the rationale for the USGS Earth Mapping Resources Initiative (Earth MRI). The program, which partners the USGS with State Geological Surveys, federal agencies, and the private sector, aims to collect new geological, geophysical, and topographic (lidar) data in key areas of the U.S. to stimulate mineral exploration and \[...\]
## Summary
In response to Executive Order 13817 of December 20, 2017, the U.S. Geological Survey (USGS) coordinated with the Bureau of Land Management (BLM) to identify 35 nonfuel minerals or mineral materials considered critical to the economic and national security of the United States (U.S.) (https://pubs.usgs.gov/of/2018/1021/ofr20181021.pdf). Acquiring information on possible domestic sources of these critical minerals is the rationale for the USGS Earth Mapping Resources Initiative (Earth MRI). The program, which partners the USGS with State Geological Surveys, federal agencies, and the private sector, aims to collect new geological, geophysical, and topographic (lidar) data in key areas of the U.S. to stimulate mineral exploration and production of critical minerals.
The first phase of Earth MRI focused on the study of rare-earth elements (REE) (https://pubs.er.usgs.gov/publication/ofr20191023A). Phase 2 version 2 focuses on the following minerals: aluminum, cobalt, graphite, lithium, niobium, platinum group elements (PGE), rare earth elements, tantalum, tin, titanium, and tungsten. The USGS has identified broad areas within the U.S. to target acquisition of geologic mapping, geophysical data, and (or) detailed topographic information to aid research, mineral exploration, and evaluation of mineral potential in these areas. Focus areas were defined using existing geologic data including data on known deposits in the U.S. The focus areas are provided as geospatial data supported by tables that summarize what is known about the mineral potential and brief descriptions of data gaps that could be addressed by the Earth MRI program. A full discussion of Earth MRI and the rationale and methods used to develop the geospatial data are provided in the report by Hammarstrom, J.M., and others (in review).
## Contacts
Point of Contact
:
[Connie Dicken](/catalog/catalogParty/show?partyId=2527)
Process Contact
:
[Connie Dicken](/catalog/catalogParty/show?partyId=2527)
Originator
:
[Connie Dicken](/catalog/catalogParty/show?partyId=2527),
[Jane M Hammarstrom](/catalog/catalogParty/show?partyId=4153)
Metadata Contact
:
[Connie Dicken](/catalog/catalogParty/show?partyId=2527)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Energy and Minerals](/catalog/catalogParty/show?partyId=Energy+and+Minerals)
SDC Data Owner
:
[Geology, Energy & Minerals Science Center](/catalog/catalogParty/show?partyId=17290)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5f344f1882cee144fb32e391?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5f344f1882cee144fb32e391?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5f344f1882cee144fb32e391?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| FocusAreas\_Phase2\_v2.xml<br>_Original FGDC Metadata_ | View | 43.83 KB | application/fgdc+xml |
| 11CriticalMinerals\_RevisionHistory.txt<br>“Revision History” | | 3.9 KB | text/plain |
| Phase2\_DataRelease\_abbreviations.csv<br>“Abbreviations” | | 1.97 KB | text/csv |
| Phase2\_DataRelease\_explanation.csv<br>“Explanation” | | 6 KB | text/csv |
| Phase2\_DataRelease\_full\_table.csv<br>“Full table” | | 824.2 KB | text/csv |
| Phase2\_DataRelease\_list\_of\_focus\_areas.csv<br>“List of focus areas” | | 84.08 KB | text/csv |
| Phase2\_DataRelease\_references.csv<br>“References” | | 370.43 KB | text/csv |
| Phase2\_DataRelease\_csv.zip<br>“5 csv files” | | 346.77 KB | application/zip |
| FocusAreas\_Phase2\_v2.gdb.zip<br>“Phase 2 v2 focus area geodatabase” | | 61.35 MB | application/zip |
| Phase2\_DataRelease\_tables.xls<br>“Phase 2 v2 data tables” | | 2 MB | application/vnd.ms-excel |
| States\_StudyRegions.zip<br>“State boundaries” | | 10.88 MB | application/zip |
| FocusAreas\_Phase2\_v2.zip<br>“Phase 2 v2 focus area shapefile” | | 80.3 MB | application/zip |
| CriticalMineralsSamples.jpg<br>“Critical Mineral Samples” |  | 327.62 KB | image/jpeg |
## Related External Resources
Type: Citation
| | |
| --- | --- |
| Focus Areas for Data Acquisition for Potential Domestic Sources of Critical Minerals—Rare Earth Elements | [https://doi.org/10.3133/ofr20191023A](https://doi.org/10.3133/ofr20191023A "https://doi.org/10.3133/ofr20191023A") |
| GIS and Data Tables for Focus Areas for Potential Domestic Nonfuel Sources of Rare Earth Elements | [https://doi.org/10.5066/P95CHIL0](https://doi.org/10.5066/P95CHIL0 "https://doi.org/10.5066/P95CHIL0") |
| The Earth Mapping Resources Initiative (Earth MRI): Mapping the Nation’s Critical Mineral Resources | [https://doi.org/10.3133/fs20193007](https://doi.org/10.3133/fs20193007 "https://doi.org/10.3133/fs20193007") |
| Systems-Deposits-Commodities-Critical Minerals Table for the Earth Mapping Resources Initiative | [https://doi.org/10.3133/ofr20201042](https://doi.org/10.3133/ofr20201042 "https://doi.org/10.3133/ofr20201042") |
Type: Related Primary Publication
| | |
| --- | --- |
| Hammarstrom, J.M., Dicken, C.L., Day, W.C., Hofstra, A.H., Drenth, B.J., Shah, A.K., McCafferty, A.E., Woodruff, L.G., Foley, N.K., Ponce, D.A., Frost, T.P., and Stillings, L.L., 2020, Focus areas for data acquisition for potential domestic resources of 11 critical minerals in the conterminous United States, Hawaii, and Puerto Rico—Aluminum, cobalt, graphite, lithium, niobium, platinum-group elements, rare earth elements, tantalum, tin, titanium, and tungsten: U.S. Geological Survey Open-File Report, https://doi.org/10.3133/ofr20191023B. | [https://doi.org/10.3133/ofr20191023B](https://doi.org/10.3133/ofr20191023B "https://doi.org/10.3133/ofr20191023B") |
| Hammarstrom, J.M., Dicken, C.L., Woodruff, L.G., Andersen, A.K., Brennan, S., Day, W.C., Drenth, B.J., Foley, N.K., Hall, S., Hofstra, A.H., McCafferty, A.E., Shah, A.K., and Ponce, D.A., 2022, Focus areas for data acquisition for potential domestic resources of 13 critical minerals in the conterminous United States and Puerto Rico—Antimony, barite, beryllium, chromium, fluorspar, hafnium, helium, magnesium, manganese, potash, uranium, vanadium, and zirconium, chap. D of U.S. Geological Survey, Focus areas for data acquisition for potential domestic sources of critical minerals: U.S. Geological Survey Open-File Report 2019–1023, 65 p., https://doi.org/10.3133/ofr20191023D. | [https://doi.org/10.3133/ofr20191023D](https://doi.org/10.3133/ofr20191023D "https://doi.org/10.3133/ofr20191023D") |
## Purpose
These geospatial data provide the locations of focus areas to be used for the planning and collection of geophysical, geological, and topographic (lidar) data pertaining to the Earth MRI study of aluminum, cobalt, graphite, lithium, niobium, platinum group elements (PGE), rare earth elements, tantalum, tin, titanium, and tungsten resources in the U.S. Focus areas are outlined solely on the basis of geology, regardless of political boundaries. Therefore, areas may include federal, as well as state, tribal, and private lands, which may or may not be open to exploration and mining activities. These data are shared to meet open data requirements and are suitable for use in Geographic Information Systems (GIS) or other database and geospatial software used to derive maps and perform geospatial analyses.
## Preview Image

Critical Mineral Samples
## [Map](/catalog/item/imap/5f344f1882cee144fb32e391)
[](/catalog/item/imap/5f344f1882cee144fb32e391)
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## Provenance
Revision 2.0 by Connie Dicken on August 14, 2020. To review the changes that were made, see “11CriticalMinerals\_RevisionHistory.txt” in the attached files section.
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| doi | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9U6SODG |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Dicken, C.L.</origin>\n <origin>Hammarstrom, J.M.</origin>\n <pubdate>20200813</pubdate>\n <title>GIS for focus areas of potential domestic resources of 11 critical minerals\xe2\x80\x94aluminum, cobalt, graphite, lithium, niobium, platinum group elements, rare earth elements, tantalum, tin, titanium, and tungsten (version 2.0, August 2020)</title>\n <geoform>Vector Digital Data Set (Polygon)</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Additional information about Originator: Dicken, C.L., https://orcid.org/0000-0002-1617-8132.\n\nHammarstrom, J.M., http://orcid.org/0000-0003-2742-3460 \n\nAlaska Division of Geological and Geophysical Surveys \xe2\x80\x93 Werdon, M.B.\nArizona Geological Survey - Richardson, C.A.\t\nArkansas Geological Survey - Cannon, C. and Hanson, W.D.\nCalifornia Geological Survey - Gius, F.W. and Key, E.L.\nColorado Geological Survey - Morgan, M.L. and O\'Keeffe, M.K.\nDelaware Geological Survey - KunleDare, M.\nFlorida Geological Survey - Means, H.\nGeological Survey of Alabama - VanDervoort, D.S. and Whitmore, J.P.\nIdaho Geological Survey - Gillerman, V.S. and Lewis, R.S.\nIllinois State Geological Survey - Denny, F.B. and Freiburg, J.\nIndiana Geological and Water Survey - Mastalerz, M. and McLaughlin, P.I.\nIowa Geological Survey - Clark, R.J. and Tassoer-Surine, S.\nKentucky Geological Survey - Andrews, W.M. and Lukoczki, G.\nMaine Geological Survey - Beck, F.M. and Whittaker, A.H.\nMaine Mineral and Gem Museum - Felch, M.\nMaryland Geological Survey - Adams, R.H., Brezinski, D.K., Junkin, W., and Ortt, R.\nMichigan Geological Survey - Harrison, W.\nMinnesota Department of Natural Resources - Dahl, D.A.\nMinnesota Natural Resources Research Institute - Hudak, G.J.\nMissouri Geological Survey - Lori, L., Seeger, C.M. and Steele, A.\nMontana Bureau of Mines and Geology - Korzeb, S.L. and Scarberry, K.C.\nNevada Bureau of Mines and Geology - Muntean, J.L.\nNew Mexico Bureau of Geology and Mineral Resources - Kelley, S.A. and McLemore, V.T.\nNorth Carolina Geological Survey - Chapman, J.S., Farrell, K.M., Taylor, K.B., and Veach, D.\nPennsylvania Geological Survey - Hand, K. and Shank, S.G.\nSouth Carolina Geological Survey - Howard, C.S. and Morrow, R.H.\nTexas Bureau of Economic Geology - Elliott, B.A.\nU.S. Geological Survey - Anderson, A.K., Ayuso, R.A., Bern, C.R., Bookstrom, A.A., Bultman, M.W., Carter, M.W., Cossette, P.M., Day, W.C., Dicken, C.D., Drenth, B.J., Emsbo, P., Foley, N.K., Frost, T.P., Gettings, M.E., Grauch, V.J., Hall, S.M., Hammarstrom, J.M., Hayes, T.S., Hofstra, A.H., Horton, J.D., Horton, J.W., Hubbard, B.E., John, D.A., Johnson, M.R., Jones, J.V. III, Karl, N., Kreiner, D.C., Lund, K., Mauk, J.L., McCafferty, A.E., Merschat, A.J., Nicholson, S.W., Ponce, D.A., San Juan, C.A., Shah, A.K., Siler, D.L., Soller, D.R., Stillings, L.L., Swezey, C.S., Taylor, R.D., Van Gosen, B.S., Vikre, P.G., Walsh, G.J., Woodruff, L.G., Zientek, M.L., and Zurcher, L.\nU.S. Geological Survey, Emeritus - Bradley, D.C., Robinson, G.R., Schulz, K.J., and Slack, J.F.\nUtah Geological Survey - Boden, T., Mills, S.E., and Rupke, A.\nVirginia Division of Geology and Mineral Resources - Coiner, L.V., and Lassetter, W.L.\nWashington Geological Survey - Eungard, D.W.\nWest Virginia Geological and Economic Survey - Brown, S.R. and Moore, J.P.\nWestern Michigan University - Thakurta, J.\nWisconsin Geological and Natural History Survey - Gottschalk, B and Stewart, E.K.\nWyoming State Geological Survey - Gregory, R.W., Lynds, R.M., and Mosser, K.</othercit>\n <onlink>https://doi.org/10.5066/P9U6SODG</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Jane M. Hammarstrom</origin>\n <origin>Connie L. Dicken</origin>\n <origin>Laurel G. Woodruff</origin>\n <origin>Allen K. Andersen</origin>\n <origin>Sean Brennan</origin>\n <origin>Warren C. Day</origin>\n <origin>Benjamin J. Drenth</origin>\n <origin>Nora K. Foley</origin>\n <origin>Susan Hall</origin>\n <origin>Albert H. Hofstra</origin>\n <origin>Anne E. McCafferty</origin>\n <origin>Anjana K. Shah</origin>\n <origin>David A. Ponce</origin>\n <pubdate>2022</pubdate>\n <title>Focus areas for data acquisition for potential domestic resources of 13 critical minerals in the conterminous United States and Puerto Rico\xe2\x80\x94Antimony, barite, beryllium, chromium, fluorspar, hafnium, helium, magnesium, manganese, potash, uranium, vanadium, and zirconium</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/ofr20191023D</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>In response to Executive Order 13817 of December 20, 2017, the U.S. Geological Survey (USGS) coordinated with the Bureau of Land Management (BLM) to identify 35 nonfuel minerals or mineral materials considered critical to the economic and national security of the United States (U.S.) (https://pubs.usgs.gov/of/2018/1021/ofr20181021.pdf). Acquiring information on possible domestic sources of these critical minerals is the rationale for the USGS Earth Mapping Resources Initiative (Earth MRI). The program, which partners the USGS with State Geological Surveys, federal agencies, and the private sector, aims to collect new geological, geophysical, and topographic (lidar) data in key areas of the U.S. to stimulate mineral exploration and production of critical minerals.\n\nThe first phase of Earth MRI focused on the study of rare-earth elements (REE) (https://pubs.er.usgs.gov/publication/ofr20191023A). Phase 2 version 2 (this report) focuses on the following minerals: aluminum, cobalt, graphite, lithium, niobium, platinum group elements (PGE), rare earth elements, tantalum, tin, titanium, and tungsten. The USGS has identified broad areas within the U.S. to target acquisition of geologic mapping, geophysical data, and (or) detailed topographic information to aid research, mineral exploration, and evaluation of mineral potential in these areas. Focus areas were defined using existing geologic data including data on known deposits in the U.S. The focus areas are provided as geospatial data supported by tables that summarize what is known about the mineral potential and brief descriptions of data gaps that could be addressed by the Earth MRI program. A full discussion of Earth MRI and the rationale and methods used to develop the geospatial data are provided in the following report:\n\nHammarstrom, J.M., and others (in review)</abstract>\n <purpose>These geospatial data provide the locations of focus areas to be used for the planning and collection of geophysical, geological, and topographic (lidar) data pertaining to the Earth MRI study of aluminum, cobalt, graphite, lithium, niobium, platinum group elements (PGE), rare earth elements, tantalum, tin, titanium, and tungsten resources in the U.S. Focus areas are outlined solely on the basis of geology, regardless of political boundaries. Therefore, areas may include federal, as well as state, tribal, and private lands, which may or may not be open to exploration and mining activities. These data are shared to meet open data requirements and are suitable for use in Geographic Information Systems (GIS) or other database and geospatial software used to derive maps and perform geospatial analyses.</purpose>\n <supplinf>The GIS data consist of a polygon layer, or \xe2\x80\x9cfeature class\xe2\x80\x9d, which depict the locations of focus areas, that might control the distribution of mineral deposits. Individual focus areas may be represented by one or more polygons. When a focus area is defined by more than one polygon, the polygons are grouped to form a \xe2\x80\x9cmulti-part\xe2\x80\x9d feature in the GIS data. For example, the focus area pertaining to the High-Al Pennsylvanian Underclays across many states consists of 2,144 polygons. These polygons are grouped and appear as a single record in the GIS attribute table with the NewID \xe2\x80\x9cNE028\xe2\x80\x9d. In all, there are over 28,400 polygons that make up 498 focus areas. Polygons representing different focus areas may overlap. Viewing focus areas as outlines without color fills and with text labels will show where polygons overlap.\n\nPhase 2 (version 2.0) data are provided in ArcGIS 10.7.1 file geodatabase (gdb) and shapefile formats. The user is also provided a state boundary layer feature class published by Esri (2012) that was modified to include attribute information identifying the four regions used in the study \xe2\x80\x93 east, central, west, and Alaska. FocusAreas_Phase2_v2.gdb file geodatabase includes the following:\n\nFocusArea_Phase2_refs: File geodatabase table that lists the references with short reference (ShortRef) and full reference citation. ShortRef attribute can be found in the related table of the focus area GIS.\nFocusArea_Phase2_tbl: File geodatabase table of the full attributes (30 fields) used in the relationship class to the polygon focus areas.\nFocusArea_Phase2_v2_rc: Relationship class created for use in the GIS to relate the polygons in the GIS to the separate table data.\nFocusAreas_Phase2_v2: Potential data acquisition areas represented as polygons.\nStates_StudyRegions: State boundaries that include study area regions.\n\nTable data are provided as a single excel worksheet with 5 tabs:\n1) Abbreviations - list of abbreviations used in data set.\n2) Explanation - describes each attribute in the table tab as well as the related GIS field name. For example, \'All commodities\' is the field name in the table and it is called \'AllComm\' in the GIS table.\n3) List of Focus areas - table used to create the simplified GIS table.\n4) Table - full table of attributes for the focus areas.\n5) Phase 2 References - table that lists the short reference and full citation.\n\nThe 5 tables are also provided as .csv (comma separated values) files.\n\nEsri, 2012, USA States: Esri Data & Maps for ArcGIS, 2012 \xe2\x80\x93 World, Europe, and United States, Redlands, CA.\n\nThese data are published as a Science Base Data Release, however the Hammarstrom and others (in review) Open-File Report contains the discussion of Earth MRI and the rationale and methods used to develop these geospatial data.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>20200813</caldate>\n </sngdate>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-180.0000</westbc>\n <eastbc>-66.0000</eastbc>\n <northbc>72.0000</northbc>\n <southbc>18.0000</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>mineral deposits</themekey>\n <themekey>economic geology</themekey>\n <themekey>geospatial datasets</themekey>\n <themekey>aluminum</themekey>\n <themekey>cobalt</themekey>\n <themekey>graphite</themekey>\n <themekey>lithium</themekey>\n <themekey>niobium</themekey>\n <themekey>platinum group elements</themekey>\n <themekey>rare earth elements</themekey>\n <themekey>tantalum</themekey>\n <themekey>tin</themekey>\n <themekey>titanium</themekey>\n <themekey>tungsten</themekey>\n <themekey>critical mineral</themekey>\n <themekey>heavy rare earth elements</themekey>\n <themekey>light rare earth elements</themekey>\n <themekey>Earth Mapping Resources Initiative (Earth MRI)</themekey>\n <themekey>phosphate</themekey>\n <themekey>Mineral Resources Program (MRP)</themekey>\n <themekey>iron-oxide copper gold</themekey>\n <themekey>iron-oxide apatite</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5f344f1882cee144fb32e391</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>United States</placekey>\n <placekey>Alabama</placekey>\n <placekey>Alaska</placekey>\n <placekey>Arizona</placekey>\n <placekey>Arkansas</placekey>\n <placekey>California</placekey>\n <placekey>Colorado</placekey>\n <placekey>Connecticut</placekey>\n <placekey>Delaware</placekey>\n <placekey>District of Columbia</placekey>\n <placekey>Florida</placekey>\n <placekey>Georgia</placekey>\n <placekey>Hawaii</placekey>\n <placekey>Idaho</placekey>\n <placekey>Illinois</placekey>\n <placekey>Indiana</placekey>\n <placekey>Iowa</placekey>\n <placekey>Kansas</placekey>\n <placekey>Kentucky</placekey>\n <placekey>Louisiana</placekey>\n <placekey>Maine</placekey>\n <placekey>Maryland</placekey>\n <placekey>Massachusetts</placekey>\n <placekey>Michigan</placekey>\n <placekey>Minnesota</placekey>\n <placekey>Mississippi</placekey>\n <placekey>Missouri</placekey>\n <placekey>Montana</placekey>\n <placekey>Nebraska</placekey>\n <placekey>Nevada</placekey>\n <placekey>New Hampshire</placekey>\n <placekey>New Jersey</placekey>\n <placekey>New Mexico</placekey>\n <placekey>New York</placekey>\n <placekey>North Carolina</placekey>\n <placekey>North Dakota</placekey>\n <placekey>Ohio</placekey>\n <placekey>Oklahoma</placekey>\n <placekey>Oregon</placekey>\n <placekey>Pennsylvania</placekey>\n <placekey>Puerto Rico</placekey>\n <placekey>Rhode Island</placekey>\n <placekey>South Carolina</placekey>\n <placekey>South Dakota</placekey>\n <placekey>Tennessee</placekey>\n <placekey>Texas</placekey>\n <placekey>Utah</placekey>\n <placekey>Vermont</placekey>\n <placekey>Virginia</placekey>\n <placekey>Washington</placekey>\n <placekey>West Virginia</placekey>\n <placekey>Wisconsin</placekey>\n <placekey>Wyoming</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>There is no guarantee concerning the accuracy of the data. Data have been checked to ensure the accuracy. If any errors are detected, please notify the originating office. The U.S. Geological Survey recommends users read all metadata prior to using data. Acknowledgment of the U.S. Geological Survey would be appreciated in products derived from these data. User specifically agrees not to misrepresent the data, nor to imply that changes made were approved or endorsed by the U.S. Geological Survey.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Connie Dicken</cntper>\n <cntorg>U.S. Geological Survey, NORTHEAST REGION</cntorg>\n </cntperp>\n <cntpos>Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 954, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-6482</cntvoice>\n <cntfax>703-648-6252</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Development of the dataset was funded by the U.S. Geological Survey Mineral Resources Program. One spatial data set and supporting tables were developed by 4 regional teams: Eastern Mineral and Environmental Resources Science Center (Reston, VA); Geology, Geophysics, and Geochemistry Science Center (Denver, CO); Geology, Minerals, Energy, and Geophysics Science Center (Spokane, WA and Tucson, AZ); and Alaska Science Center - Geology Office (Anchorage, AK). Database reviews and contributions were made by USGS personnel Pamela M. Cossette and Cliff D. Taylor.</datacred>\n <native>Microsoft [Unknown] Version 6.2 (Build 9200); Esri ArcGIS 10.7.1 Version 10.7.1.11595</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>The data are intended to be used at regional scales for planning purposes and thus are not suitable for spatial analyses. Unique values in attribute fields were acquired through frequency analyses. The unique values in each attribute field were reviewed and checked for spelling, consistency of terms, accuracy, adherence to established vocabularies, and completeness.</attraccr>\n </attracc>\n <logic>In this study, a single focus area may be represented by numerous, dispersed polygons. Where this occurs, the polygons are grouped to form a \xe2\x80\x9cmulti-part\xe2\x80\x9d feature which has a single record in the GIS attribute table. There are over 22,100 polygons that make up 498 multi-part focus areas. Consequently, polygons representing different focus areas may overlap. One suggestion is to use \xe2\x80\x9cSelect by Attributes" to query the data table.</logic>\n <complete>Focus areas are based on existing data and reports published 1889 \xe2\x80\x93 2019. Focus areas are based solely on geologic information and rationale. Focus areas intentionally include areas of incomplete information that could be informed by the collection of new or additional data.</complete>\n <posacc>\n <horizpa>\n <horizpar>The quality of focus areas is highly variable and generally reflects the accuracy of source reports and data. The data are intended to show the general distribution of known mineral deposits and regions as well as areas that potentially contain resources for aluminum, cobalt, graphite, lithium, niobium, platinum group elements, rare earth elements, tantalum, tin, titanium, and tungsten. The data can be queried to identify commodities. The data are intended to be used at regional scales for planning purposes and thus are not suitable for spatial analyses.</horizpar>\n </horizpa>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Albert H. Hofstra</origin>\n <origin>Douglas C. Kreiner</origin>\n <pubdate>20200514</pubdate>\n <title>Systems-Deposits-Commodities-Critical Minerals Table for Earth Mapping Resources Initiative</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Open-File Report</sername>\n <issue>2020-1042</issue>\n </serinfo>\n <onlink>https://doi.org/10.3133/ofr20201042</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2020</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Hofstra and Kreiner (2020)</srccitea>\n <srccontr>Mineral systems, deposit types and commodities for Earth MRI.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Esri</origin>\n <pubdate>2012</pubdate>\n <title>USA States: Esri Data & Maps for ArcGIS</title>\n <geoform>vector digital data</geoform>\n <onlink>https://www.arcgis.com/home/item.html?id=1a6cae723af14f9cae228b133aebc620</onlink>\n </citeinfo>\n </srccite>\n <srcscale>3000000</srcscale>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2012</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Esri (2012)</srccitea>\n <srccontr>Used for state boundaries and added our regions to the attributes for general use.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>To define focus areas, project teams first evaluated existing data on 11 critical mineral occurrences (deposits, prospects, and showings), past exploration, resources and production, geochemical and geophysical data, and the status of geologic mapping for the eastern, central, and western conterminous U.S. and Alaska. Resulting focus areas ranged from areas with identified resources and past production to areas with geologic characteristics permissive for undiscovered deposits with no known deposits. Specific data needs that could be addressed by the Earth MRI program to better evaluate each focus area for critical mineral potential were summarized. \n\nThe evaluation of existing data formed the rationale for developing polygon features in a GIS. The geospatial delineation of focus areas involved a variety of data sources and approaches. Focus areas for potential 11 critical minerals were developed by querying digital state geologic map data for permissive host rocks based on lithology and age. Other focus areas were derived using generalized outlines of mining districts or mineral belts, distributions of observed occurrences, and in some cases, geochemical and (or) geophysical anomalies associated with deposits.</procdesc>\n <srcused>Hofstra and Kreiner (2020)</srcused>\n <srcused>Esri (2012)</srcused>\n <procdate>20200422</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Connie Dicken</cntper>\n <cntorg>U.S. Geological Survey, NORTHEAST REGION</cntorg>\n </cntperp>\n <cntpos>Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 954, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-6482</cntvoice>\n <cntfax>703-648-6252</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Vector</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>G-polygon</sdtstype>\n <ptvctcnt>498</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Albers Conical Equal Area</mapprojn>\n <albers>\n <stdparll>29.5</stdparll>\n <stdparll>45.5</stdparll>\n <longcm>-96.0</longcm>\n <latprjo>37.5</latprjo>\n <feast>0.0</feast>\n <fnorth>0.0</fnorth>\n </albers>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.6096</absres>\n <ordres>0.6096</ordres>\n </coordrep>\n <plandu>meters</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>North_American_Datum_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>FocusAreas_Phase2_v2 Attribute Table</enttypl>\n <enttypd>Table containing attribute information associated with the data set.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>NewID</attrlabl>\n <attrdef>A unique identifier for each focus area.</attrdef>\n <attrdefs>USGS authors</attrdefs>\n <attrdomv>\n <udom>An alphanumeric identifier formatted as XX### where \nXX represent the subregion and the ### is a number.\nThe value of subregion can be Alaska (AK), Hawaii (HI), North Central (NC), Northeast (NE), Northwest (NW), Rocky Mountains (RM), South Central (SC), Southeast (SE), or Southwest (SW). Some focus areas may be two or more polygons grouped together, or a \xe2\x80\x9cmulti-part\xe2\x80\x9d. A focus area may also be part of more than one subregion, but only one is listed.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FocusArea</attrlabl>\n <attrdef>Descriptive geographic or geologic name.</attrdef>\n <attrdefs>USGS authors</attrdefs>\n <attrdomv>\n <udom>Informal names assigned by the USGS to distinguish focus areas.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MinSystem</attrlabl>\n <attrdef>Type of mineral system.</attrdef>\n <attrdefs>Hofstra and Kreiner (2020)</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Alkalic Porphyry</edomv>\n <edomvd>Alkalic porphyry systems form in oceanic and\ncontinental magmatic arcs and in continental\nrifts by similar processes from fluids exsolved\nfrom more fractionated alkalic plutons and\nstocks. Resulting ore deposits tend to be more\nenriched in Au, Te, Bi, and V.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Arsenide</edomv>\n <edomvd>Arsenide systems form in continental rifts\nwhere deep-seated, oxidized, metal-rich,\nmetamorphic basement brines ascend to\nshallow levels. Native elements (Ag, Bi, As),\nNi-, Co- and Fe-mono-, di- and sulf-arsenides\nprecipitate by reduction as hydrocarbons,\ngraphite, or sulfide minerals are oxidized to\nform carbonates and barite.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Basin Brine Path</edomv>\n <edomvd>Basin brine path systems emanate from\nmarine evaporite basins and extend\ndownward and laterally through permeable\nstrata to discharge points in the ocean. Basin brines evolve to become ore fluids by\nscavenging metals from various rock types\nalong gravity driven flow paths. The mineralogy of the aquifers controls the redox and sulfidation state of the brine and the suite of elements that can be scavenged. Cu and Pb-Zn sulfide deposits form where oxidized brines encounter reduced S. Unconformity U deposits form where oxidized brines are reduced. Ba and Sr deposits form where reduced brines encounter marine sulfate or carbonate.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Chemical Weathering</edomv>\n <edomvd>Chemical weathering systems operate in\nstable areas of low to moderate relief with\nsufficient rainfall to chemically dissolve and\nconcentrate elements present in various rock types and mineral occurrences by the\ndownward percolation of surface water in the unsaturated zone. Chemical gradients cause different elements to be concentrated at different positions in the weathering profile and at the water table. Bauxite, Ni-laterite, and carbonatite laterite are restricted to tropical climatic zones, others form in temperate and arid climates.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Climax-type</edomv>\n <edomvd>Climax-type systems occur in continental rifts with hydrous bimodal magmatism. Aqueous supercritical fluids exsolved from A-type topaz rhyolite plutons and the apices of subvolcanic stocks form a variety of deposit types as they move upward and outward, split into liquid and vapor, react with country rocks, and mix with ground water. The broad spectrum of deposit types results from the large thermal and chemical gradients in these systems. At deep levels, NYF ( niobium-yttrium-fluorine) pegmatites emanate from plutons.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Coeur d\'Alene-type</edomv>\n <edomvd>Metamorphic dewatering of moderately oxidized siliciclastic sequences during exhumation with fluid flow along dilatant structures. Metasedimentary host rocks may contain basin brine path Pb-Zn and Cu\xc2\xb1Co deposits.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>IOA-IOCG</edomv>\n <edomvd>IOA-IOCG systems form in both subduction and rift-related magmatic provinces. IOA deposits form as hot brine discharged from subvolcanic mafic to intermediate composition intrusions reacts with cool country rocks. Albitite uranium deposits form at deeper levels where brines albitize country rocks. IOCG deposits form on the roof or periphery of IOA mineralization at lower temperatures, often with involvement of external fluids. Polymetallic skarn, replacement and vein deposits occur out board from IOCG deposits. Mn replacement and lacustrine Fe deposits form near or at the paleosurface.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Lacustrine Evaporite</edomv>\n <edomvd>Lacustrine evaporite systems operate in closed drainage basins in arid to hyperarid climatic zones. Elements present in meteoric surface, ground, and geothermal recharge water are concentrated by evaporation. As salinity increases, evaporite minerals typically precipitate in the following sequence: gypsum or anhydrite, halite, sylvite, carnallite, borate. Nitrates are concentrated in basins that accumulate sea spray. Residual brines enriched in lithium and other elements often accumulate in aquifers below dry lake beds. Li-clay and Li-zeolite deposits form where residual brine reacts with lake sediment, ash layers or volcanic rocks.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Mafic Magmatic</edomv>\n <edomvd>Mafic magmatic systems form in large igneous provinces related to mantle plumes or meteorite impacts. Nickel-copper sulfide ores with PGEs result from settling and accumulation of immiscible sulfide liquids in mafic layered intrusions and ultramafic magma conduits. In layered intrusions, Fe-Ti oxides, chromite and PGE minerals crystalize from evolving parental magmas and are concentrated by physical processes in cumulate layers. In anorthosites, Fe-Ti oxides (and apatite) crystalize from residual magmas entrained in plagioclase-melt diapirs.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Magmatic REE</edomv>\n <edomvd>Magmatic REE systems typically occur in continental rifts or along translithospheric structures. REEs and other elements in mantle-derived ultrabasic, alkaline, and peralkaline (agpaitic) intrusions are enriched by fractionation and separation of immiscible carbonatite melts \xc2\xb1 saline hydrothermal liquids.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Marine Chemocline</edomv>\n <edomvd>Marine chemocline systems operate where basin brines discharge into the ocean. Consequent increases in bioproductivity produce metalliferous black shales. Changes in ocean chemistry (oceanic anoxic events) and development of chemoclines result in chemical sedimentation of phosphate and Mn and Fe carbonates and oxides.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Metamorphic</edomv>\n <edomvd>Metamorphic systems recrystallize rocks containing organic carbon or REE phosphate minerals.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Meteoric recharge</edomv>\n <edomvd>Meteoric recharge systems operate where oxidized meteoric groundwater displaces reduced connate water in sandstone aquifers that often contain volcanic ash or where such groundwater evaporates at the surface. As oxidized water descends through sandstone aquifers it scavenges uranium and other elements from detrital minerals and/or volcanic glass. Uranium and other elements precipitate at the redox front with reduced connate water, on carbonaceous material in the aquifers, or at the surface in calcrete by evaporation.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Orogenic</edomv>\n <edomvd>Metamorphic dewatering of sulfidic volcanic and/or sulfidic, carbonaceous and/or calcareous siliciclastic sequences during exhumation with fluid flow along dilatant structures. Iron minerals in host rocks are often sulfidized. Metavolcanic host rocks often contain volcanogenic seafloor sulfide deposits.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Placer</edomv>\n <edomvd>Placer systems operate in drainage basins and along shorelines where there is either\ntopographic relief and gravity driven turbulent flow of surface water or tidal and\nwind driven wave action. Placer systems\nconcentrate insoluble resistate minerals\nliberated from various rock types and mineral occurrences by the chemical breakdown and winnowing away of enclosing minerals by the movement of water. The distribution of insoluble resistate minerals is controlled by their size, density and the turbulence of fluid flow.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Porphyry Cu-Mo-Au</edomv>\n <edomvd>Porphyry copper systems operate in oceanic and continental magmatic arcs with calcalkaline compositions. Aqueous supercritical fluids exsolved from felsic plutons and the apices of subvolcanic stocks form a variety of deposit types as they move upward and outward, split into liquid and vapor, react with country rocks, and mix with ground water. The broad spectrum of deposit types results from the large thermal and chemical gradients in these systems.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Porphyry Sn (granite-related)</edomv>\n <edomvd>Granite-related porphyry Sn systems form in back arc or hinterland settings by similar processes from fluids exsolved from more crustally contaminated S-type peraluminous plutons and stocks. At deep levels, LCT (lithium-cesium-tantalum) pegmatites emanate from plutons. Resulting ore deposits tend to be Cu and Mo poor and enriched in Li, Cs, Ta, Nb, Sn, W, Ag, Sb and In.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Reduced Intrusion-related</edomv>\n <edomvd>Reduced intrusion-related systems form in continental magmatic arcs by similar processes from fluids exsolved from calcalkaline plutons and stocks that assimilated carbonaceous pyritic country rocks. Resulting ore deposits tend to be poor in Cu, Mo, Sn and enriched in W, Au, Ag, Te, Bi, Sb and As.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Volcanogenic Seafloor</edomv>\n <edomvd>Volcanogenic seafloor systems are driven by igneous activity along spreading centers, back arc basins and magmatic arcs. In spreading centers and back arc basins, seawater evolves to become an ore fluid by convection through hot volcanic rocks. In magmatic arcs, ore fluids exsolved from subvolcanic intrusions may mix with convecting seawater. Ore deposits form where hot reduced ore fluids vent into cool oxygenated seawater. Sulfides and sulfates precipitate in or near vents. Mn and Fe precipitate at chemoclines over wide areas in basins with seafloor hydrothermal activity.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DepType</attrlabl>\n <attrdef>Type of mineral deposit.</attrdef>\n <attrdefs>Hofstra and Kreiner (2020)</attrdefs>\n <attrdomv>\n <udom>Deposit types in this study include:\nAntimony;\nBasin brine;\nBauxite;\nCarbonatite;\nCassiterite;\nChromite;\nClay;\nCopper (sed-hosted and replacement);\nCopper-zinc sulfide;\nDistal disseminated silver-gold;\nFive element veins;\nFluorspar;\nGneiss REE;\nGold;\nGraphite;\nGreisen;\nHigh sulfidation gold-silver;\nIlmenite/rutile/leucoxene;\nIron oxide apatite;\nIron oxide copper gold;\nIron-manganese;\nIron-titanium oxide;\nLithium clay;\nLithocap alunite;\nLithocap kaolinite ;\nMonazite/xenotime;\nNickel-cobalt laterite;\nNickel-copper-PGE sulfide;\nPegmatite LCT;\nPegmatite NYF;\nPeralkaline syenite/granite/rhyolite/alaskite/pegmatites;\nPGE;\nPGE (low sulfide);\nPhosphate;\nPolymetallic sulfide;\nPolymetallic sulfide S-R-V-HS;\nPolymetallic sulfide S-R-V-IS;\nPorphyry molybdenum;\nPorphyry/skarn;\nPorphyry/skarn copper;\nPorphyry/skarn copper-gold;\nPorphyry/skarn molybdenum;\nRegolith (Ion adsorption) REE;\nReplacement manganese;\nResidual brine;\nRhyolite tin;\nSandstone uranium;\nSkarn copper-molybdenum-tungsten;\nSkarn iron;\nS-R-V tungsten;\nSupergene manganese;\nVolcanogenic beryllium;\nVolcanogenic uranium;\nWolframite/scheelite;\nZircon;\nZinc-lead (MVT and sedex).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CritMin</attrlabl>\n <attrdef>List of known or potential (?) critical mineral commodities associated with the focus area. Critical minerals are those listed in the Federal Register as of May 18, 2018 https://www.federalregister.gov/documents/2018/05/18/2018-10667/final-list-of-critical-minerals-2018.\nCommodity names are spelled out, except for REE (rare earth elements) and PGE (platinum group elements).</attrdef>\n <attrdefs>USGS authors</attrdefs>\n <attrdomv>\n <udom>Aluminum (bauxite), antimony, arsenic, barite, beryllium, bismuth, cesium, chromium, cobalt, fluorspar, gallium, germanium, graphite (natural), hafnium, helium, indium, lithium, magnesium, manganese, niobium, platinum group metals (PGE), potash, the rare earth elements group (REE), rhenium, rubidium, scandium, strontium, tantalum, tellurium, tin, titanium, tungsten, uranium, vanadium, and zirconium.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>OtherMin</attrlabl>\n <attrdef>Other commodities associated with the focus area (not on the critical minerals list). Includes primary and minor commodities reported. Commodity names are spelled out, except for REE (rare earth elements) and PGE (platinum group elements).</attrdef>\n <attrdefs>USGS authors</attrdefs>\n <attrdomv>\n <udom>All other non-critical minerals.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>AllComm</attrlabl>\n <attrdef>List of all commodities associated with the study area. Commodity names are spelled out, except for REE (rare earth elements) and PGE (platinum group elements).</attrdef>\n <attrdefs>USGS authors</attrdefs>\n <attrdomv>\n <udom>Commodities are not listed by order of importance when multiple commodities are presented.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>States</attrlabl>\n <attrdef>States included in the focus area.</attrdef>\n <attrdefs>USGS authors</attrdefs>\n <attrdomv>\n <udom>District of Columbia, Puerto Rico, Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Region</attrlabl>\n <attrdef>Study region within the United States.</attrdef>\n <attrdefs>USGS authors</attrdefs>\n <attrdomv>\n <udom>Regions include Alaska, East, Central, and West. States (including District of Columbia and Puerto Rico) were grouped into regions for purposes of the study as follows: Alaska (AK); East (AL, CT, DC, DE, FL, GA, KY, MA, MD, ME, MS, NC, NH, NJ, NY, OH, PA, PR, RI, SC, TN, VA, VT, WV); Central (AR, IL, IN, IA, KS, LA, MI, MN, MO, NE, ND, OK, SD, WI); and West (AZ, CA, CO, HI, ID, MT, NM, NV, OR, TX, UT, WA, WY).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SubRegion</attrlabl>\n <attrdef>Subregions in the United States categorized into 9 areas.</attrdef>\n <attrdefs>USGS authors</attrdefs>\n <attrdomv>\n <udom>Alaska (AK), Northwest (NW), Southwest (SW), Rocky Mountains (RM), North Central (NC), South Central (SC), Northeast (NE), Southeast (SE), and HI (Hawaii). Note that Puerto Rico is included with the Southeast subregion.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>\n <eadetcit>The entity and attribute information were generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Building 810, Mail Stop 302, Denver Federal Center</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Vector Digital Data Set (Polygon)</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9U6SODG</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200819</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Connie Dicken</cntper>\n <cntorg>U.S. Geological Survey, NORTHEAST REGION</cntorg>\n </cntperp>\n <cntpos>Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 954, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-6482</cntvoice>\n <cntfax>703-648-6252</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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3. [Results of Ecosystem Scale Selenium Modeling in Support of Site-Specific Guidelines Development for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada, 2020](/catalog/folder/5f2edba482ceae4cb3c735d8)
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## Dates
Publication Date2020-08-12Start Date2008End Date2018
## Citation
Jenni, K.E., and Schmidt, T.S., 2020, Results of Ecosystem Scale Selenium Modeling in Support of Site-Specific Guidelines Development for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada, 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P99LM27E.
## Summary
This data release and accompanying spreadsheet illustrate the ecosystem scale selenium model for Lake Koocanusa described in USGS Open-File Report 2020-1098, "Understanding and Documenting the Scientific Basis of Selenium Ecological Protection in Support of Site-Specific Guidelines Development for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada." All report sections, equations, and tables referenced in this data release and spreadsheet are from that report. Two models are described in the OFR. Results for several different “runs” of this model with different model input parameters and assumptions are included in this data release. The spreadsheet calculations that produced those results are also included with this data \[...\]
## Summary
This data release and accompanying spreadsheet illustrate the ecosystem scale selenium model for Lake Koocanusa described in USGS Open-File Report 2020-1098, "Understanding and Documenting the Scientific Basis of Selenium Ecological Protection in Support of Site-Specific Guidelines Development for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada." All report sections, equations, and tables referenced in this data release and spreadsheet are from that report. Two models are described in the OFR. Results for several different “runs” of this model with different model input parameters and assumptions are included in this data release. The spreadsheet calculations that produced those results are also included with this data release. Model results are presented for the four representative IFM food webs described in Table 6 of the OFR, and for three representative TFM food webs described in Table 7 of the OFR. “Generic” IFM and TMF modeling spreadsheets (consistent with Tables 8 and 9 of the OFR) are provided that implement the two models such that a user can establish their own modeling assumptions and view the results of the models with those assumptions. Finally, four alternative modeling scenarios and results specifically requested by the Montana Department of Environmental Quality, the cooperator in this work, are also presented here.
## Contacts
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[Karen E Jenni](/catalog/catalogParty/show?partyId=70543)
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[Karen E Jenni](/catalog/catalogParty/show?partyId=70543)
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[Karen E Jenni](/catalog/catalogParty/show?partyId=70543)
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[Karen E Jenni](/catalog/catalogParty/show?partyId=70543)
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[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
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[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
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:
[Wyoming-Montana Water Science Center](/catalog/catalogParty/show?partyId=17311)
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:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
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| Presser, T.S., and Naftz, D.L., 2020, Understanding and documenting the scientific basis of selenium ecological protection in support of site-specific guidelines development for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada: U.S. Geological Survey Open-File Report, https://doi.org/10.3133/ofr20201098. | [https://doi.org/10.3133/ofr20201098](https://doi.org/10.3133/ofr20201098 "https://doi.org/10.3133/ofr20201098") |
## Purpose
Data contained in this data release were compiled from USGS and non-USGS sources to serve as the basis for ecosystem-scale modeling of Lake Koocanusa. Results from the ecosystem-scale modeling of Lake Koocanusa will be used by state, federal, and provincial regulators to determine dissolved selenium guideline(s) for the protection of aquatic life in Lake Koocanusa
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Karen E. Jenni</origin>\n <pubdate>20200812</pubdate>\n <title>Results of Ecosystem Scale Selenium Modeling in Support of Site-Specific Guidelines Development for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada, 2020</title>\n <geoform>spreadsheet</geoform>\n <onlink>https://doi.org/10.5066/P99LM27E</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Theresa S. Presser</origin>\n <origin>David L. Naftz</origin>\n <pubdate>20200810</pubdate>\n <title>Understanding and Documenting the Scientific Basis of Selenium Ecological Protection in Support of Site-Specific Guidelines Development for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada</title>\n <geoform>spreadsheet</geoform>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This data release and accompanying spreadsheet illustrate the ecosystem scale selenium model for Lake Koocanusa described in USGS Open-File Report 2020-xxxx, "Understanding and Documenting the Scientific Basis of Selenium Ecological Protection in Support of Site-Specific Guidelines Development for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada." All report sections, equations, and tables referenced in this data release and spreadsheet are from that report, referred to hereafter as \xe2\x80\x9cthe OFR.\xe2\x80\x9d Two models are described in the OFR. Results for several different \xe2\x80\x9cruns\xe2\x80\x9d of this model with different model input parameters and assumptions are included in this data release. The spreadsheet calculations that produced those results are also included with this data release. Model 1, IFM = Insect-to-fish model, summarized by Eq. 11: protective C(Se)dissolved = tissue guideline/TTFfish /[(TTFinvert1*invert fraction1) + (TTFinvert2*invert fraction2)]/SPM bioavailability fraction/(Kd/1,000). Model2, TFM = Trophic-fish model, summarized by Eq. 12: protective C(Se)dissolved = tissue guideline/TTFfishTL4/TTFfishTL3/[(TTFinvert1*invert fraction1) + (TTFinvert2*invert fraction2)]/SPM bioavailability fraction/(Kd/1,000). Model results are presented for the four representative IFM food webs described in Table 6 of the OFR, and for three representative TFM food webs described in Table 7 of the OFR. \xe2\x80\x9cGeneric\xe2\x80\x9d IFM and TMF modeling spreadsheets (consistent with Tables 8 and 9 of the OFR) are provided that implement the two models such that a user can establish their own modeling assumptions and view the results of the models with those assumptions.Finally, four alternative modeling scenarios and results specifically requested by the Montana Department of Environmental Quality, the cooperator in this work, are also presented here.</abstract>\n <purpose>Data contained in this data release were compiled from USGS and non-USGS sources to serve as the basis for ecosystem-scale modeling of Lake Koocanusa. Results from the ecosystem-scale modeling of Lake Koocanusa will be used by state, federal, and provincial regulators to determine dissolved selenium guideline(s) for the protection of aquatic life in Lake Koocanusa</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2008</begdate>\n <enddate>2018</enddate>\n </rngdates>\n </timeinfo>\n <current>observed</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-115.5103</westbc>\n <eastbc>-114.9774</eastbc>\n <northbc>49.4035</northbc>\n <southbc>48.3596</southbc>\n </bounding>\n <descgeog>World</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>selenium</themekey>\n <themekey>ecosystem scale selenium model</themekey>\n <themekey>Lake Koocanusa</themekey>\n <themekey>insect-to-fish model</themekey>\n <themekey>trophic-fish model</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5f2edba482ceae4cb3c735d8</themekey>\n </theme>\n <place>\n <placekt>Getty Thesaurus of Geographic Names</placekt>\n <placekey>Lake Koocanusa</placekey>\n <placekey>British Columbia, Canada</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>None. Users are advised to read the dataset\'s metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Karen E Jenni</cntper>\n <cntorg>U.S. Geological Survey, ENERGY & MINERALS</cntorg>\n </cntperp>\n <cntpos>Decision Scientist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 939, W 6th Ave Kipling St</address>\n <city>Lakewood</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>303-236-5766</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</attraccr>\n </attracc>\n <logic>The data reasonably matches the expectations within the bounds of the study area. All values fall within expected ranges. There are no duplicate or missing data.</logic>\n <complete>These data represent conditions downstream of Elk Valley, a known source of elevated selenium concentrations. These data represent the fixed geographical area designated by the study area.</complete>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>David L. Naftz/USGS</origin>\n <pubdate>20200810</pubdate>\n <title>Selenium concentrations in food webs of Lake Koocanusa in the vicinity of Libby Dam (MT) and the Elk River (BC) as the basis for applying ecosystem-scale modeling, 2008-2018</title>\n <geoform>tabular digital data</geoform>\n <onlink>https://doi.org/10.5066/P9VXYSNZ</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>2008</begdate>\n <enddate>2018</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Data Dictionary</srccitea>\n <srccontr>1. Understanding and Documenting the Scientific Basis of Selenium Ecological Protection in Support of Site-Specific Guidelines Development for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada by Theresa L. Presser and David Naftz. \n2. U.S. Environmental Protection Agency [USEPA], 2018, Water quality standards\xe2\x80\x94Establishment of a numeric criterion for selenium for the State of California: Federal Register, v. 83, no. 239, p. 64059\xe2\x80\x9364078, accessed May 2020 at https://www.federalregister.gov/d/2018-26781.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>The IFM model results: In the "Diet Component Analysis and Categorization of Fish Species" section of the OFR, and in Table 6, four representative IFM food webs are identified for four categories of fish species in in Lake Koocanusa.\nThe following tabs shows the model and calculated results for each of these four IFM food webs for Lake Koocanusa.\n1. IFM 100% aq insects - Fish consuming a diet of 100% aquatic insects (chironomids) - model representing rainbow trout (Apr-Nov), westslope cutthroat trout, redside shiner, and longnose sucker\n2. IFM 50-50 AqInsect-Zoop\tFish consuming a diet of 50% aquatic insects (chironomids) and 50% zooplankton - model representing peamouth chub, largescale sucker, and mountain whitefish\n3. IFM 25-75 AqInsect-Zoop - \tFish consuming a diet of 25% aquatic insects (chironomids), 75% zooplankton - model representing rainbow trout feeding habits Dec-March.\n4. IFM 100% Zooplankton - Fish consuming 100% zooplankton diet - model representing kokanee.\nThe tab labeled \xe2\x80\x9c5. IFM generic\xe2\x80\x9d is provided for users wishing to run to model for scenario parameters they define themselves.\nEach IFM tab contains the following:\n1. Lines 1-13 specify all model input parameters except for the Kd partitioning factor. Green cells are scenario-specific values.\n2. Line 5 is a text entry (optional) used to describe the fish species being modeled.\n3. Line 6 is the specified target concentration of Se in fish whole-body tissues in part-per-million dry-weight, specified by a number (required). As stated in the "Introduction" section of the OFR, the USEPA regulatory standard of 8.5 ppm dw (USEPA) is the primary target concentration evaluated in the in the report. All IFM tabs in this data release implement this modeling assumption.\n4. Lines 8 and 9 are the fraction of the diet of the species being modeled that is aquatic insects (line 8) and zooplankton (line 9). A numeric value between 0 and 1 (required) is specified in line 8; line 9 is calculated such that the entire diet is composed of these two components.\n5. Line 11 specifies the fraction of Se in suspended particulate matter (SPM) that is bioavailable to the food web. A numeric value (required) between 1 and 0 is required to run the model. Model results presented in the "Conclusions" section of the OFR are based on two bioavailability scenarios: 1.0 (100%) and 0.6 (60%). The effect of the bioavailability estimate is described in "Modeling and Fish Scenario Development", and the basis for the 0.6 bioavailability scenario is described in "Model Validation." Each IFM tab in this data release presents both the 100% and the 60% (or other user-specified) bioavailability scenario results.\n6. Line 13 specifies the invertebrate-to-fish trophic transfer factor for the model. A numeric value is required. A generic TTF fish of 1.1 is used in the model results presented in the report. The "Species-Specific TTFfish for Predator and Forage Fish" section of the OFR includes species-specific TTF values that could be substituted, and Table 10 includes a single illustrative calculation for each species-specific TTF value. The generic value of 1.1 is used in the IFM tabs presented here; substituting species- specific values into this worksheet will result in a species-specific set of model runs.\n7. Lines 16 and below contain the model calculations. Blue cells are linked to the model input cells described above. Orange cells are calculated values. Grey cells are values set by data documented in the report.\n8. Columns A through H are model inputs. Column A, B, D, and E are linked directly from the valued described above. Columns C and E are the trophic transfer factors (TTFs) for aquatic insects (2.8. from equation 4) and zooplankton (1.5, from equation 5)\n9. Columns G and H contain the calculated values for the bioaccumulation potential (BAP) for two scenarios for bioavailability. These calculations are described in the \xe2\x80\x9cModeled Bioaccumulation Potentials for Lake Koocanusa\xe2\x80\x9d section of the OFR, and the BAFs for each food web are shown in Table 6. \n10. Columns I through M present the complete dataset for Kd for Lake Koocanusa presented as a basis for modeling. These correspond directly to Columns A-D, and Column P of Table 8 of the OFR. Blank rows (dates with no Kd values) have been removed.\n11. Columns O and P present the model results.\n12. Columns S and T are a resorting of the model results for graphing.\n13. Columns N and R are used for sorting.\n14. The chart anchored at Cell A23 illustrate the full set of model results for the calculations on each sheet, as well as a reference line at 1.5 ppm, the current recommended EPA standard referenced in the OFR.\n15. Below the chart at cells B50:D52 is a table that summarizes the percentage of the model results for this scenario where the protective water column concentration is below the value specified in column B. These correspond to the description of the model results in the Conclusions section of the OFR.</procdesc>\n <procdate>20200810</procdate>\n </procstep>\n <procstep>\n <procdesc>The TFM model results In the "Diet Component Analysis and Categorization of Fish Species" section of the OFR, and in Table 7, three representative TFM food webs are identified for predator fish species in Lake Koocanusa. The three models differ in the assumed diet of the prey fish. The worksheet tabs shows the model and calculated results for each of these three TFM food webs for Lake Koocanusa.\nWorksheet 6. TFM w TL3 100% AqIns - Fish consuming a diet of 100% prey fish, with those prey fish consuming a diet of 100% aquatic insects (chironomids) - model representing burbot (during winter benthic feeding), bull trout, and northern pikeminnow.\nWorksheet 7. TFM w TL3 50-50 AqIns-Zoop - Fish consuming a diet of 100% prey fish, with those prey fish consuming a diet of 50% aquatic insects (chironomids) and 50% zooplankton - model representing bull trout, burbot, and northern pikeminnow.\nWorksheet 8. TFM w TL3 100% Zoop - Fish consuming a diet of 100% prey fish, with those prey fish consuming a diet of 100% zooplankton - model representing burbot (summer feeding), bull trout, northern pikeminnow, and rainbow trout that consume only kokanee.\nWorksheet 9. TFM generic\xe2\x80\x9d is provided for users wishing to run to the TFM model for scenario parameters they define themselves.\nEach TFM tab contains the following:\n1. Lines 1-21 specify all model input parameters except for the Kd partitioning factor. Green cells are scenario-specific values.\n2. Line 6 is a text entry (optional) used to describe the fish species being modeled.\n3. Line 7 is the specified target concentration of Se in fish whole-body tissues in part-per-million dry-weight, specified by a number (required). As stated in the "Introduction" section of the OFR, the USEPA regulatory standard of 8.5 ppm dw (USEPA) is the primary target concentration evaluated in the OFR. All TFM tabs in this data release implement this modeling assumption.\n4. Lines 9-12 are the fraction of the diet of the species being modeled that is comprised of prey fish (lines 9, 10), aquatic insects (line 11) and zooplankton (line 12). Numeric values between 0 and 1 are required in rows 9-12 and must sum to 1 or less; line 12 is calculated.\n5. Lines 14 and 15, columns B and C, specify the fraction of the diet(s) of the prey fish being consumed that are aquatic insects or zooplankton. A numeric value between 0 and 1 is required in line 14; line 15 is calculated such that the total diet sums to 1. \n6. Line 17 specifies the fraction of Se in suspended particulate matter (SPM) that is bioavailable to the food web. A numeric value (required) between 1 and 0 is required to run the model. Model results presented in the "Conclusions" section of the OFR are based on two bioavailability scenarios: 1.0 (100%) and 0.6 (60%). The effect of the bioavailability estimate is described in "Modeling and Fish Scenario Development", and the basis for the 0.6 bioavailability scenario is described in "Model Validation." Each TFM tab in this data release presents both the 100% and the 60% (or other user-specified) bioavailability scenario results.\n7. Lines 19-21 specify the trophic transfer factors to fish: line 18 is the invertebrate-to-prey-fish 1 TTF, line 19 is the invertebrate-to-prey-fish 2 TTF, and line 19 is the TL3 to TL4 TTF for the predator fish being modeled. A numeric value is required. A generic TTF fish of 1.1 is used in the model results presented in the OFR. The "Species-Specific TTF fish for Predator and Forage Fish" section of the OFR includes species-specific TTF values that could be substituted, and Table 10 includes a single illustrative calculation for each species-specific TTF value. The generic value of 1.1 is used for all three fish species in the TFM tabs presented here; substituting species- specific values into this worksheet will result in a species-specific set of model runs.\n8. Lines 24 and below contain the model calculations. Blue cells are linked to the model input cells described above. Orange cells are calculated values. Grey cells are values set by data documented in the OFR.\n9. Columns B through M are model inputs. Column B-G, I, and K are linked directly from the values described above. Columns H and J are the trophic transfer factors (TTFs) for aquatic insects (2.8. from equation 4) and zooplankton (1.5, from equation 5)\n10. Row 28, columns B-K represent the diet of the predator fish being modeled; Rows 29 and 30 represent the diets of the two prey fish that comprise (part of) the diet of the predator being modeled.\n11. Columns L and M contain the calculated values for the bioaccumulation potential (BAP) for two scenarios for bioavailability. These calculations are described in the \xe2\x80\x9cModeled Bioaccumulation Potentials for Lake Koocanusa\xe2\x80\x9d section of the OFR, and the BAFs for each of the TFM food webs are shown in Table 7. \n12. Columns N through R present the complete dataset for Kd for Lake Koocanusa presented as a basis for modeling. These correspond directly to Columns A-D, and Column P of Table 8 of the OFR. Blank rows (dates with no Kd values) have been removed.\n13. Columns R and T present the model results.\n14. Columns X and Y are a resorting of the model results for graphing.\n15. Columns S and W are used for sorting.\n16. The chart anchored at Cell b32 illustrates the full set of model results for the calculations on each sheet, as well as a reference line at 1.5 ppm, the current recommended EPA standard referenced in the OFR.\n17. Below the chart at cells C60:E62 is a table that summarizes the percentage of the model results for this scenario where the protective water column concentration is below the value specified in column C. These correspond to the description of the model results in the Conclusions section of the OFR.</procdesc>\n <procdate>20200810</procdate>\n </procstep>\n <procstep>\n <procdesc>Cooperator requested additional model results: Montana Department of Environmental Quality, the USGS cooperator for this work, requested that the results for several additional model scenarios be produced, and provided the following description of each.\t\t\t\t\t\t\t\t\t\t\t\t\nScenario 1: Focal Species: peamouth chub\t\t\t\t\t\t\t\t\nCriteria: USGS professional opinion for protective criteria such that no individual bull trout is harmed.\t\t\t\t\nRationale: bull trout are listed as threatened and are protected under the Endangered Species Act. Bull trout represent a piscivorous food web. \t\t\t\t\nResults Notes: \t\t\t\t\t\t\t\t\t1. Per Table 4 of the OFR, bull trout are represented by the TFM model, so the calculations in Tabs 6-8 apply to this scenario.\n2. Criteria must be numeric; Illustrative results for a criteria of 8.5 ppm are provide in Tabs 6-8; alternative numeric criteria can be explored by a user using Tab 9\n3. The specific food web that applies depends on composition of prey fish consumed by bull trout; Tabs 6-8 illustrate 3 different prey fish diet compositions.\n\nScenario 2: Focal Species: peamouth chub (using species specific food web & a conservative aquatic insect food web\t\t\nCriteria: 8.5 & 4.0 mg/kg dw in whole-body tissues\t\t\t\t\t\nRationale: peamouth chub are relatively data rich species in the reservoir; their small size makes them likely candidates as a forage species for piscivorous fish and wildlife; and, they appear to accumulate selenium to high levels relative to other species.\t\t\nResults Notes:\t\t\t\t\t\t\t\t\t1. Per Table 4 of the OFR, the peamouth chub food web is best represented as 50% aquatic insect, 50% zooplankton\n2. See Tab \xe2\x80\x9cS2 species-specific\xe2\x80\x9d for model results for the two specified numeric criteria.\n3. See Tab \xe2\x80\x9cS2 conservative\xe2\x80\x9d for model results for the two specified numeric criteria for an assumed \xe2\x80\x9cconservative aquatic insect foodweb\xe2\x80\x9d\n\nScenario 3: Focal Species: rainbow trout\nCriteria: 8.5 & 5.6 mg/kg dw in whole-body tissues (5.6 calculated using egg/ovary:whole-body conversion factor of 1.96 for rainbow trout, the basis for the BCMOE guideline; presented in USEPA 2016)\nRationale: A sensitive species in the reservoir representing a primarily aquatic insect food web. \t\t\t\t\nResults Notes:\t\t\t\t\t\t\t\t\t1. Per Table 4 of the OFR, rainbow trout food web is 100% aquatic insect, but may switch to predominantly zooplankton in Dec-Mar; given the stated rationale for interest in this scenario, the 100% aquatic insect food web results are presented\n2. See "IFM 100% aq insect" tab for results at whole-body tissue concentration target of 8.5. \n3. See "S3 rainbow trout\xe2\x80\x9d tab for additional calculation for alternative target concentration specified above\t\t\t\t\t\t\t\t\t\nScenario 4: Focal Species: mountain whitefish\nCriteria: 8.5 & 7.6 mg/kg dw in whole-body tissues (7.6 calculated using muscle:whole-body conversion factor of 1.27; USEPA 2016)\nRationale: mountain whitefish appear to accumulate selenium to higher levels relative to other species typically consumed by humans; culturally important species to Ktunaxa citizens. This scenario would demonstrate that Ktunaxa citizens consuming fish at their preferred rate (i.e., 168 g/day \xe2\x80\x93 noting that the preferred rates are under development but that the guidance given to EMC in 2016 by KNC reflects this rate) would be protected \xe2\x80\x93 to meet this criteria muscle tissues should not exceed the BCMOE (2014) human consumption screening value, adjusted for the Ktunaxa preferred consumption rate, of 2.4 mg/kg ww or 9.7 mg/kg dw). \t\t\t\t\t\t\t\t\t\nResults Notes:\t\t\t\t\t\t\t\t\t1. Per Table 4 of the OFR, mountain whitefish food web is about 60% aquatic insect, 40% zooplankton. It is represented in the OFR by the 50/50 food web. \n2. See "S4 mountain whitefish\xe2\x80\x9d tab for additional calculations of results with a 60/40 food web at the requested whole-body tissue concentrations targets.</procdesc>\n <procdate>20200807</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Karen E Jenni</cntper>\n <cntorg>U.S. Geological Survey, ENERGY & MINERALS</cntorg>\n </cntperp>\n <cntpos>Decision Scientist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 939, W 6th Ave Kipling St</address>\n <city>Lakewood</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>303-236-5766</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>W1. IFM 100% aq insects</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>W2. IFM 50-50 Aqinsect-Zoop</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Karen E. Jenni</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>W3. IFM 25-70 AqInsect-Zoop</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Karen E. Jenni</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>W4. IFM 100% Zoop</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Karen E. Jenni</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>W5. IFM generic</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Karen E. Jenni</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>W6. TFM w TL3 100% AqIns</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Karen E. Jenni</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>W7. TFM w TL3 50-50 AqIns- Zoop</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Karen E. Jenni</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>W8. TFM w TL3 100% Zoop</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>W9. TFM generic</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Karen E. Jenni</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>W10. S2 species specific</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Karen E. Jenni</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>W11. S2 conservative</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Karen E. Jenni</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>W12. S3 rainbow trout</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Karen E. Jenni</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>W13. S4 mountain whitefish</enttypl>\n <enttypd>All column headings are defined in the data dictionary.</enttypd>\n <enttypds>Karen E. Jenni</enttypds>\n </enttyp>\n </detailed>\n <overview>\n <eaover>Data_Dictionary_IFM_TFM_Ecosystem_Model_Scenarios\nThis table defines all terms for the embedded worksheets in the table (W1 - W13) in this data release</eaover>\n <eadetcit>K.E. Jenni</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P99LM27E</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200831</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Karen E Jenni</cntper>\n <cntorg>U.S. Geological Survey, ENERGY & MINERALS</cntorg>\n </cntperp>\n <cntpos>Decision Scientist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 939, W 6th Ave Kipling St</address>\n <city>Lakewood</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>303-236-5766</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Release Date2016Start Date1967End Date2013Publication Date2017-09-19
## Citation
Munson, S.E. and Duniway, M.C., 2016, Rangeland Ecology Monitoring Data, Utah, 1967-2013, U.S. Geological Survey data release, https://doi.org/10.5066/F75D8PZ5.
## Summary
The dataset describes rangeland monitoring results from the Hanksville, UT (USA) area. Monitoring results consist of canopy cover of plant species and functional types according to ecological site group from 1967 to 2013. The study area is bordered on the north by the Wayne-Emery County line, on the west by Capitol Reef National Park, and on the south and east by the Colorado River, Glen Canyon National Recreation Area, and Canyonlands National Park. Cover was estimated every 1 to 5 years (except the last measurement that had a 12 year interval) from 1967 to 2013 at 36 permanently marked sites in 15 livestock grazing allotments/pastures. Canopy cover of perennial plant species was estimated to the nearest tenth of a percent inside \[...\]
## Summary
The dataset describes rangeland monitoring results from the Hanksville, UT (USA) area. Monitoring results consist of canopy cover of plant species and functional types according to ecological site group from 1967 to 2013. The study area is bordered on the north by the Wayne-Emery County line, on the west by Capitol Reef National Park, and on the south and east by the Colorado River, Glen Canyon National Recreation Area, and Canyonlands National Park. Cover was estimated every 1 to 5 years (except the last measurement that had a 12 year interval) from 1967 to 2013 at 36 permanently marked sites in 15 livestock grazing allotments/pastures. Canopy cover of perennial plant species was estimated to the nearest tenth of a percent inside permanently marked 1.5 x 1.5 m plots using a frame that was divided into 6 x 6 cm sections.
## Contacts
USGS Mission Area
:
[Ecosystems](/catalog/catalogParty/show?partyId=Ecosystems)
SDC Data Owner
:
[Southwest Biological Science Center](/catalog/catalogParty/show?partyId=17423)
Originator
:
[Seth M Munson](/catalog/catalogParty/show?partyId=13527),
[Michael C Duniway](/catalog/catalogParty/show?partyId=24855)
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## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Rangeland Monitoring Reveals Long-term Plant Responses to Precipitation and Grazing at the Landscape Scale | [http://dx.doi.org/10.1016/j.rama.2015.09.004](http://dx.doi.org/10.1016/j.rama.2015.09.004 "http://dx.doi.org/10.1016/j.rama.2015.09.004") |
## Purpose
This dataset assesses the condition of rangeland vegetation on the Colorado Plateau to inform management decisions. These data represent compiled long-term rangeland monitoring data collected from June to September, 1967 to 2013 at 96 permanently marked sites in 15 livestock grazing allotments in near Hanksville, Utah. The Rangeland rangeland monitoring data were collected by a Bureau of Land Management (BLM) field office in south-central Utah. Monitoring consisted of estimating canopy cover of perennial plant species inside permanently marked 1.5 × 1.5m plots using a frame that was divided into 6 ×6 cm sections. The purpose of these data is to demonstrate how long-term rangeland monitoring data can be synthesized using ecological site concepts to understand how changes in plant species cover are driven by precipitation and grazing across the landscape By bridging long-term rangeland monitoring data with ecological site concepts, we provide the context to enhance understanding of vegetation response to climate and land use, which can ultimately inform management decisions and guide future monitoring efforts.
## Rights
The authors of these data request that data users contact them regarding intended use and to assist with understanding limitations and interpretation. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.
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## Communities
- USGS Data Release Products
- USGS Southwest Biological Science Center (SBSC)
## Tags
Theme
- [Climate change](/catalog/items?q=&filter=tags%3DClimate+change "Climate change (Climate change, Theme, None)")
- [Ecological sites](/catalog/items?q=&filter=tags%3DEcological+sites "Ecological sites (Ecological sites, Theme, None)")
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- [Rangeland Monitoring](/catalog/items?q=&filter=tags%3DRangeland+Monitoring "Rangeland Monitoring (Rangeland Monitoring, Theme, None)")
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- [Colorado Plateau](/catalog/items?q=&filter=tags%3DColorado+Plateau "Colorado Plateau (Colorado Plateau, Place, Geographic Names Information System (GNIS))")
- [Garfield County](/catalog/items?q=&filter=tags%3DGarfield+County "Garfield County (Garfield County, Place, Geographic Names Information System (GNIS))")
- [Hanksville](/catalog/items?q=&filter=tags%3DHanksville "Hanksville (Hanksville, Place, Geographic Names Information System (GNIS))")
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- [United States](/catalog/items?q=&filter=tags%3DUnited+States "United States (United States, Place, Geographic Names Information System (GNIS))")
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Types
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## Provenance
Data sourceInput directly
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F75D8PZ5 |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Seth M. Munson</origin>\n <origin>Michael C. Duniway</origin>\n <pubdate>2016</pubdate>\n <title>Rangeland Ecology Monitoring Data : 1967-2013</title>\n <geoform>Extensible Markup Language (XML) workbook</geoform>\n <pubinfo>\n <pubplace>Flagstaff, AZ</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://dx.doi.org/10.5066/F75D8PZ5</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Seth M. Munson</origin>\n <origin>Michael C. Duniway</origin>\n <origin>Jamin K. Johanson</origin>\n <pubdate>2016</pubdate>\n <title>Rangeland Monitoring Reveals Long-term Plant Responses to Precipitation and Grazing at the Landscape Scale</title>\n <geoform>Journal publication</geoform>\n <pubinfo>\n <pubplace>Online publication</pubplace>\n <publish>Rangeland Ecology & Management</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.1016/j.rama.2015.09.004</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The dataset describes rangeland monitoring results from the Hanksville, UT (USA) area. Monitoring results consist of canopy cover of plant species and functional types according to ecological site group from 1967 to 2013. The study area is bordered on the north by the Wayne-Emery County line, on the west by Capitol Reef National Park, and on the south and east by the Colorado River, Glen Canyon National Recreation Area, and Canyonlands National Park. Cover was estimated every 1 to 5 years (except the last measurement that had a 12 year interval) from 1967 to 2013 at 36 permanently marked sites in 15 livestock grazing allotments/pastures. Canopy cover of perennial plant species was estimated to the nearest tenth of a percent inside permanently marked 1.5 x 1.5 m plots using a frame that was divided into 6 x 6 cm sections.</abstract>\n <purpose>This dataset assesses the condition of rangeland vegetation on the Colorado Plateau to inform management decisions. These data represent compiled long-term rangeland monitoring data collected from June to September, 1967 to 2013 at 96 permanently marked sites in 15 livestock grazing allotments in near Hanksville, Utah. The Rangeland rangeland monitoring data were collected by a Bureau of Land Management (BLM) field office in south-central Utah. Monitoring consisted of estimating canopy cover of perennial plant species inside permanently marked 1.5 \xc3\x97 1.5m plots using a frame that was divided into 6 \xc3\x976 cm sections. The purpose of these data is to demonstrate how long-term rangeland monitoring data can be synthesized using ecological site concepts to understand how changes in plant species cover are driven by precipitation and grazing across the landscape By bridging long-term rangeland monitoring data with ecological site concepts, we provide the context to enhance understanding of vegetation response to climate and land use, which can ultimately inform management decisions and guide future monitoring efforts.</purpose>\n <supplinf>These data can be used to examine spatial or temporal patterns in rangeland vegetation condition in southern Utah from 1967-2013 and were used to understand vegetation response to climate and land-use in the published paper:\nMunson, S.M., M.C. Duniway, and J.K. Johanson. 2016. Rangeland monitoring reveals long-term plant responses to precipitation and grazing at the landscape-scale. Rangeland Ecology and Management 69: 76\xe2\x80\x9383.\nThe data are specific to the aforementioned location and years, and any other use of these data would be inappropriate.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>1967</begdate>\n <enddate>2013</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-111.02284</westbc>\n <eastbc>-110.507199</eastbc>\n <northbc>38.4493</northbc>\n <southbc>37.570651</southbc>\n </bounding>\n <descgeog>36 rangeland monitoring sites near Hanksville, UT</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>Climate change</themekey>\n <themekey>Land-use change</themekey>\n <themekey>Ecological sites</themekey>\n <themekey>State-and-transition models</themekey>\n <themekey>Rangeland Monitoring</themekey>\n <themekey>Plant Responses</themekey>\n <themekey>Precipitation</themekey>\n <themekey>Grazing</themekey>\n <themekey>Landscape Scale</themekey>\n <themekey>Soils</themekey>\n <themekey>Vegetation</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:56c73ae9e4b0946c6524083f</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Colorado Plateau</placekey>\n <placekey>Hanksville</placekey>\n <placekey>Garfield County</placekey>\n <placekey>San Juan County</placekey>\n <placekey>Wayne County</placekey>\n <placekey>Utah</placekey>\n <placekey>United States</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Seth M. Munson</cntper>\n <cntorg>U.S. Geological Survey - Southwest Biological Science Center</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2255 Gemini Dr.</address>\n <city>Flagstaff</city>\n <state>AZ</state>\n <postal>86001</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>928-523-7740</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>U.S. Geological Survey, USDA Natural Resources Conservation Service</datacred>\n <taxonomy>\n <keywtax>\n <taxonkt>USGS Biocomplexity Thesaurus</taxonkt>\n <taxonkey>Plants</taxonkey>\n </keywtax>\n <taxonsys>\n <classsys>\n <classcit>\n <citeinfo>\n <origin>USDA Plants Team</origin>\n <pubdate>Unknown</pubdate>\n <title>USDA Plants: http://plants.usda.gov</title>\n <geoform>EXCEL XML data file</geoform>\n <pubinfo>\n <pubplace>Unknown</pubplace>\n <publish>USDA Plants Team</publish>\n </pubinfo>\n <onlink>http://plants.usda.gov</onlink>\n </citeinfo>\n </classcit>\n </classsys>\n <ider>\n <cntinfo>\n <cntperp>\n <cntper>Range technician</cntper>\n <cntorg>BLM</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Unknown</address>\n <city>Hanksville</city>\n <state>UT</state>\n <postal>84734</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>Unknown</cntvoice>\n <cntemail>Unknown</cntemail>\n </cntinfo>\n </ider>\n <taxonpro>expert advice</taxonpro>\n <taxoncom>Species identifications were made on the best knowledge of the BLM employee</taxoncom>\n </taxonsys>\n <taxongen>Plant species were identified by the BLM</taxongen>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Lilianae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Poales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Poaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Achnatherum</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Achnatherum hymenoides</taxonrv>\n <common>Indian ricegrass</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Lilianae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Poales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Poaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Hesperostipa</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Hesperostipa comata</taxonrv>\n <common>Hesperostipa</common>\n <common>needleandthread</common>\n <common>needle and thread</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Lilianae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Poales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Poaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Sporobolus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Sporobolus cryptandrus</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Lilianae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Poales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Poaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Pleuraphis</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Pleuraphis jamesii</taxonrv>\n <common>Indian ricegrass</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Lilianae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Poales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Poaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Bouteloua</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Bouteloua gracilis</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Asterales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Asteraceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Gutierrezia</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Gutierrezia sarothrae</taxonrv>\n <common>broom snakeweed</common>\n <common>broomweed</common>\n <common>perennial snakeweed</common>\n <common>stinkweed</common>\n <common>turpentine weed</common>\n <common>yellow top</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Caryophyllanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Caryophyllales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Amaranthaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Atriplex</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Atriplex confertifolia</taxonrv>\n <common>shadscale</common>\n <common>spiny saltbush</common>\n <common>shadscale saltbush</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Rosales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Rosaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Coleogyne</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Coleogyne ramosissima</taxonrv>\n <common>blackbrush</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Gnetopsida</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Gnetidae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Ephedrales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Ephedraceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Ephedra</taxonrv>\n <common>Mormon tea</common>\n <common>jointfir</common>\n <common>ephedra</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Asterales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Asteraceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Artemisia</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Artemisia tridentata</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxonomy>\n <tool>\n <tooldesc>R Core Team. www.R-project.org. R: A language and environment for statistical computing. R Foundation for statistical computing, Vienna, Austria.</tooldesc>\n <toolacc>\n <onlink>https://cran.r-project.org/</onlink>\n <toolinst>Visit the R Development Core Team website and download the package via the link below.</toolinst>\n </toolacc>\n </tool>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>1. Data acquisition/collection: Plant species were grouped according to perennial grasses, subshrubs (woody plants usually < 0.5 m and always < 1 m in height), and shrubs (woody plants 1 \xe2\x80\x92 4 m). We also separated perennial grasses into those with a C3 and C4 photosynthetic pathway. Cover by species and aggregated by functional types (Appendix 1) was normalized with a calculation of the change in cover per unit time: Change in cover= (ln(covert2/covert1))/(t2-t1), where covert2 is for year t2, and covert1 is for t1, the previous sampling year, calculated for each pair of consecutive years across the entire vegetation time series. Positive values of this index indicate that a species increased in cover between measurements, whereas negative values indicate a decrease in cover. Precipitation variables were averaged over the vegetation sampling period, which is the same period of time used in the change in cover index (t2 - t1). We initially included precipitation variables (cool-season, warm-season, and annual mean) within the first 12 months before vegetation measurements to account for the influence of precipitation at a shorter time scale, but found that these additional variables did not improve model fits compared to variables averaged over the vegetation sampling period, so they were not retained in the analysis. We related precipitation, ecological site group, and grazing intensity to changes in plant species and functional type covers for each pair of consecutive years using a two-way analysis of covariance (ANCOVA), with ecological site group (six levels) and grazing intensity (two levels) as class variables and precipitation as a continuous variable. When the precipitation effect from the ANCOVA model was significant, the slope between the change in plant cover and precipitation variable defined the \xe2\x80\x9cplant response\xe2\x80\x9d. This plant response indicates the capacity of a plant to increase in cover when water is available and decrease with low water availability. When there was a significant precipitation by species, grazing intensity, or ecological site interaction, we used ANCOVA contrasts to compare slopes among different species, grazing intensities, and ecological site groups. Analyses were only performed on plant species and functional types that had a sufficient sample size. For more information see:\nMunson, S.M., M.C. Duniway, and J.K. Johanson. 2016. Rangeland monitoring reveals long-term plant responses to precipitation and grazing at the landscape-scale. Rangeland Ecology and Management 69: 76\xe2\x80\x9383.</procdesc>\n <procdate>20130401</procdate>\n </procstep>\n <procstep>\n <procdesc>2. Data entry: created EXCEL workbook with 6 worksheets (Workbook Metadata, Column Metadata, Plot Metadata, Plot Soils Classification, Plot Soils Data, Vegetation Data) and input field data into the appropriate worksheets</procdesc>\n <procdate>20151101</procdate>\n </procstep>\n <procstep>\n <procdesc>3. Data QA/QC: data checked for mistakes and completeness. 100% of data records entered were spot-checked for accuracy. The historical data were spot-checked by BLM employees.</procdesc>\n <procdate>20160501</procdate>\n </procstep>\n <procstep>\n <procdesc>4. Finalize workbook for dissemination: data sent to the Southwest Biological Science Center Data Steward for dissemination and preservation per USGS Interim Memorandum Policies, IM OSQI 2015-01, IM OSQI 2015-02, IM OSQI 2015-03 & IM OSQI 2015-04 (January 2015). SBSC Data Steward created 2 additional worksheets (Workbook Metadata & Column Metadata) and populated with metadata information about the data contained in the EXCEL workbook</procdesc>\n <procdate>20160601</procdate>\n </procstep>\n <method>\n <methtype>Field</methtype>\n <methdesc>Rangeland monitoring was conducted every 1 to 5 years (except the last measurement that had a 12 year interval) in late June \xe2\x80\x93 September from 1967 \xe2\x80\x93 2013 at 96 permanently marked sites in 15 livestock grazing allotments. Rangeland monitoring consisted of estimating canopy cover of perennial plant species inside permanently marked 1.5 x 1.5 m plots using a frame that was divided into 6 x 6 cm sections. Repeat landscape photographs were taken at the north end of the plot. Nested frequency and point intercept are common range trend methods and were also used at the monitoring site, but preliminary analyses revealed these measurements had extreme variability among years likely due to methodological differences throughout the study period (e.g., frames not placed in the same part of the transect every year, inconsistencies in the number of points read; personal communication with BLM), and therefore, we did not further consider these measurements. The rangeland monitoring data were hand-written in paper format with no GPS coordinates of transect locations, little metadata, and no site characterization. We converted the paper data into an electronic database to conduct analyses. We chose 36 of the sites that: 1) had a minimum of six continuous, repeat measurements taken 1 \xe2\x80\x93 12 years apart throughout the study period (1967 \xe2\x80\x93 2013), and 2) were likely to represent a range of ecological sites based on preliminary field visits. We visited the chosen sites using hand-written maps and the guidance of BLM range staff, then georeferenced transect locations with a high precision GPS instrument, photographed, and qualitatively described the landform, slope, aspect, hillslope position and plant community composition at the site. We determined average grazing intensity (% utilization) of a pasture over the last 25 years from a combination of historical stocking rate maps and qualitative assessments obtained by visiting sites with a long-term (worked at BLM field office for 25 years) range technician. We classified grazing according to slight-moderate (\xe2\x89\xa4 60%) and heavy-severe (> 60%) utilization (USDA/USDI 1999). We found that there was a strong difference between our utilization categories with respect to distance to water accessible by cattle (t = 43.71, P < 0.0001). We characterized soil horizons at all the sites to a depth of 1 m using a 76 mm diameter auger. Soil characterization consisted of texture, chemistry, and physical properties. We extracted mean monthly precipitation for each of the transect locations from a 800 m gridded PRISM dataset and compiled monthly values into cool (October \xe2\x80\x93 March) and warm (July \xe2\x80\x93 September) seasons. The soils, precipitation, landform, and vegetation data were used to determine the ecological site classification for each study site, resulting in 15 different classifications within the study area. There were a relatively small number of plots measured to assess changes in plant species according to ecological site, which is an ideal way to stratify sampling but is often not feasible with historical data. Due to the low number of available plots within each ecological site, and the similarity among certain ecological sites with respect to soils (dominant surface textural class, soil depth, and parent material) and plant community composition, we elected to group ecological sites based on these shared soil and plant properties for analysis. Such grouping of ecological sites is common for landscape-scale analyses in areas marked by high spatial heterogeneity and limited sample sizes. Furthermore, consideration of multiple ecological sites can reduce redundancy and be effectively used to assess the effects of broad-scale drivers such as climate. For more information see:\nMunson, S.M., M.C. Duniway, and J.K. Johanson. 2016. Rangeland monitoring reveals long-term plant responses to precipitation and grazing at the landscape-scale. Rangeland Ecology and Management 69: 76\xe2\x80\x9383.</methdesc>\n </method>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Plot locations were collected using a Trimble GeoXT 2008-3000 GPS receiver.</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Transverse Mercator</mapprojn>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-111.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000.0</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>30.0</absres>\n <ordres>14.0</ordres>\n </coordrep>\n <plandu>METERS</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D_North_American_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Plot Metadata</enttypl>\n <enttypd>Contains descriptions and data relating to plot location, grazing history, number of vegetation measurements</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>PlotID</attrlabl>\n <attrdef>Unique Plot Identifier</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Unique plot name</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Allotment</attrlabl>\n <attrdef>BLM Grazing Allotment</attrdef>\n <attrdefs>Bureau of Land Management</attrdefs>\n <attrdomv>\n <udom>Unique grazing allotment name</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Pasture</attrlabl>\n <attrdef>BLM Grazing Pasture (not all allotments diveded into pastures)</attrdef>\n <attrdefs>Bureau of Land Management</attrdefs>\n <attrdomv>\n <udom>Unique grazing pasture name</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Plot</attrlabl>\n <attrdef>BLM Allotment plot number</attrdef>\n <attrdefs>Bureau of Land Management</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>9</rdommax>\n <attrunit>Number</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Easting</attrlabl>\n <attrdef>UTM easting, NAD83, zone 12N - GeoXT 2008-3000</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>498077</rdommin>\n <rdommax>543002</rdommax>\n <attrunit>Meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Northing</attrlabl>\n <attrdef>UTM northing, NAD83, zone 12N -GeoXT 2008-3000</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4158291</rdommin>\n <rdommax>4255668</rdommax>\n <attrunit>Meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Elevation</attrlabl>\n <attrdef>Elevation above sea level in meters - GeoXT 2008-3000</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1178.795</rdommin>\n <rdommax>2012.85</rdommax>\n <attrunit>Meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Grazing Intensity</attrlabl>\n <attrdef>Grazing intensity (based on interview with former BLM employee and utilization maps)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Slight-moderate utilization (\xe2\x89\xa4 60% of biomass)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2</edomv>\n <edomvd>Heavy-severe utilization (> 60% of biomass)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CountofYears</attrlabl>\n <attrdef>Number of years plot vegetation frame measured</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>16</rdommax>\n <attrunit>Years</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Plot Soils Classification</enttypl>\n <enttypd>Includes information on ecological site classification & basic soil pedon diagnostic features</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>PlotID</attrlabl>\n <attrdef>Unique Plot Identifier</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Unique plot name</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ecological Site Group</attrlabl>\n <attrdef>Abreviation for ecological site group used in analysis</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Unique abbreviation code based on 'Ecological Site Group Name' attribute label</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ecological Site Group Name</attrlabl>\n <attrdef>Name of ecological site group used for analysis</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Unique ecological site group name</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LRU</attrlabl>\n <attrdef>NRCS MLRA 35 Land Resource Unit</attrdef>\n <attrdefs>Natural Resources Conservation Service</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Land Resource Unit: Desert: < 150 mm mean annual precipitation (MAP); Semidesert: 150 - 300 mm MAP</codesetn>\n <codesets>http://www.nrcs.usda.gov/wps/portal/nrcs/detail/ut/technical/?cid=nrcs141p2_034190</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ES Number</attrlabl>\n <attrdef>NRCS Ecological Site Number</attrdef>\n <attrdefs>Natural Resources Conservation Service</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Ecological Site Number</codesetn>\n <codesets>http://www.nrcs.usda.gov/wps/portal/nrcs/detail/ut/technical/?cid=nrcs141p2_034190</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ES Name</attrlabl>\n <attrdef>NRCS Ecological Site Name</attrdef>\n <attrdefs>Natural Resources Conservation Service</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Ecological Site Name</codesetn>\n <codesets>http://www.nrcs.usda.gov/wps/portal/nrcs/detail/ut/technical/?cid=nrcs141p2_034190</codesets>\n </codesetd>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soil Depth Class</attrlabl>\n <attrdef>Soil depth class</attrdef>\n <attrdefs>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</attrdefs>\n <attrdomv>\n <edom>\n <edomv>deep</edomv>\n <edomvd>1.0 to 1.5 m</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>mod deep</edomv>\n <edomvd>50 cm to 1.0 m</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>shallow</edomv>\n <edomvd>25 to 50 cm</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soil Texture</attrlabl>\n <attrdef>Soil textural class</attrdef>\n <attrdefs>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</attrdefs>\n <attrdomv>\n <codesetd>\n <codesetn>Soil textural class</codesetn>\n <codesets>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</codesets>\n </codesetd>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>loamy</edomv>\n <edomvd>7 to 27 percent clay, 28 to 50 percent silt, and 52 percent or less sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>loamy sand</edomv>\n <edomvd>A total of 25 percent or more very coarse, coarse, and medium sand and a total of less than 25 percent very coarse and coarse sand, and less than 50 percent fine sand and less than 50 percent very fine sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>sandy</edomv>\n <edomvd>More than 85 percent sand, the percentage of silt plus 1.5 times the percentage of clay is less than 15.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>sandy loam</edomv>\n <edomvd>A total of 30 percent or more very coarse, coarse, and medium sand, but a total of less than 25 percent very coarse and coarse sand and less than 30 percent fine sand and less than 30 percent very fine sand; or a total of 15 percent or less very coarse, coarse, and medium sand, less than 30 percent fine sand and less than 30 percent very fine sand with a total of 40 percent or less fine and very fine sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rock frags</attrlabl>\n <attrdef>% by volume soil rock fragements (>2 mm) estimated</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Description of soil rock fragements measured in % by volume</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Diagnostic Horizons</attrlabl>\n <attrdef>Diagnostic subsurface horizon used for Ecological Site differentiation</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>argillic</edomv>\n <edomvd>soil horizon with accumulation of pedogenic clay occurs</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Bedrock</edomv>\n <edomvd>Bedrock occurs within the upper 100 cm of soil profile</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Bedrock, calcic</edomv>\n <edomvd>Bedrock or calcic horizon occurs within the upper 100 cm of soil profile</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Calcic</edomv>\n <edomvd>oil horizon showing pedogenic accumulation of calcium carbonate</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Gypsic</edomv>\n <edomvd>Soil horizon showing pedogenic accumulation of gypsum</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>None</edomv>\n <edomvd>No defining subsurface soil horizon</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Petrocalcic</edomv>\n <edomvd>Presence of a soil horizons cemented by the pedogenic accumulation of calcium carbonate</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Some CaCO3</edomv>\n <edomvd>Some accumulation of calcium carbonate</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Weak argillic</edomv>\n <edomvd>Slight accumulation of pedogenic clay in sub-surface horizons</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Notes</attrlabl>\n <attrdef>Notes about the plot or the site</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Detailed descriptive information about a plot or the site</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Plot Soils Data</enttypl>\n <enttypd>Includes soil field characterization data</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>PlotID</attrlabl>\n <attrdef>Unique Plot Identifier</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Unique plot name</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SurfaceHorizonSandModifier</attrlabl>\n <attrdef>Surface horizon USDA Sand Modifier (estimated in field - before lab analysis conducted)</attrdef>\n <attrdefs>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</attrdefs>\n <attrdomv>\n <edom>\n <edomv>None</edomv>\n <edomvd>No modification</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Fine</edomv>\n <edomvd>50 percent or more fine sand</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Very Fine</edomv>\n <edomvd>50 percent or more very fine sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SurfaceHorizonTextureClassName</attrlabl>\n <attrdef>Surface horizon USDA Textural Class (estimated in field - before lab analysis conducted)</attrdef>\n <attrdefs>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Sandy loam</edomv>\n <edomvd>A total of 30 percent or more very coarse, coarse, and medium sand, but a total of less than 25 percent very coarse and coarse sand and less than 30 percent fine sand and less than 30 percent very fine sand; or a total of 15 percent or less very coarse, coarse, and medium sand, less than 30 percent fine sand and less than 30 percent very fine sand with a total of 40 percent or less fine and very fine sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Loamy sand</edomv>\n <edomvd>A total of 25 percent or more very coarse, coarse, and medium sand and a total of less than 25 percent very coarse and coarse sand, and less than 50 percent fine sand and less than 50 percent very fine sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Sand</edomv>\n <edomvd>More than 85 percent sand, the percentage of silt plus 1.5 times the percentage of clay is less than 15.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Loam</edomv>\n <edomvd>7 to 27 percent clay, 28 to 50 percent silt, and 52 percent or less sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SurfaceHorizonTextureClass</attrlabl>\n <attrdef>Surface horizon USDA NASIS Textural Code (estimated in field - before lab analysis conducted)</attrdef>\n <attrdefs>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</attrdefs>\n <attrdomv>\n <edom>\n <edomv>SL</edomv>\n <edomvd>Sandy loam: A total of 30 percent or more very coarse, coarse, and medium sand, but a total of less than 25 percent very coarse and coarse sand and less than 30 percent fine sand and less than 30 percent very fine sand; or a total of 15 percent or less very coarse, coarse, and medium sand, less than 30 percent fine sand and less than 30 percent very fine sand with a total of 40 percent or less fine and very fine sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LFS</edomv>\n <edomvd>Loamy fine sand: 50 percent or more fine sand; or less than 50 percent very fine sand and a total of less than 25 percent very coarse, coarse, and medium sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FS</edomv>\n <edomvd>Fine sand: 50 percent or more fine sand; or a total of less than 25 percent very coarse, coarse, and medium sand and less than 50 percent very fine sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FSL</edomv>\n <edomvd>Fine sandy loam: 30 percent or more fine sand and less than 30 percent very fine sand; or a total of 15 to 30 percent very coarse, coarse, and medium sand; or a total of more than 40 percent fine and very fine sand, one half or more of which is fine sand, and a total of 15 percent or less very coarse, coarse, and medium sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>L</edomv>\n <edomvd>Loam: 7 to 27 percent clay, 28 to 50 percent silt, and 52 percent or less sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LS</edomv>\n <edomvd>Loamy sand: A total of 25 percent or more very coarse, coarse, and medium sand and a total of less than 25 percent very coarse and coarse sand, and less than 50 percent fine sand and less than 50 percent very fine sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>LVFS</edomv>\n <edomvd>Loamy very fine sand: 50 percent or more very fine sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>VFS</edomv>\n <edomvd>Very fine sand: 50 percent or more fine sand; or less than 50 percent very fine sand and a total of less than 25 percent very coarse, coarse, and medium sand.</edomvd>\n <edomvds>Soil Survey Staff, editor. 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. 2nd edition. U.S. Government Printing Office, Washington DC.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SurfacePctClay</attrlabl>\n <attrdef>Surface horizon percent clay (estimated in field)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3.00</rdommin>\n <rdommax>17.00</rdommax>\n <attrunit>Percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SurfacepH</attrlabl>\n <attrdef>Surface horizon pH (measured in field using indicator dyes)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6.40</rdommin>\n <rdommax>8.40</rdommax>\n <attrunit>Negative of the logarithm to base 10 of the molar concentration, measured in units of moles per liter, of hydrogen ions.</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SubSurfacePctClay</attrlabl>\n <attrdef>Subsurface percent clay (estimated in field), weighted average over 20 - 100 cm or max depth</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3.51</rdommin>\n <rdommax>30.00; Rockies Sand 8 has no value because it is less than 20 cm deep</rdommax>\n <attrunit>Percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SubSurfacepH</attrlabl>\n <attrdef>Sub Surface pH (measured in field using indicator dyes), weighted average over 20 - 100 cm or max depth</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6.99</rdommin>\n <rdommax>8.62; Rockies Sand 8 has no value because it is less than 20 cm deep</rdommax>\n <attrunit>Negative of the logarithm to base 10 of the molar concentration, measured in units of moles per liter, of hydrogen ions.</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DepthCharacterized</attrlabl>\n <attrdef>Maximum depth sampled (done using auger)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>21.00</rdommin>\n <rdommax>162.00</rdommax>\n <attrunit>Depth in cm of characterized soil</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Vegetation Data</enttypl>\n <enttypd>Cover data collected by Bureau of Land Management from 1967 - 2013</enttypd>\n <enttypds>BLM - paper datasheets</enttypds>\n </enttyp>\n <attr>\n <attrlabl>PlotID</attrlabl>\n <attrdef>Unique Plot Identifier</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Unique plot name</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Year</attrlabl>\n <attrdef>Year of measurement</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1950</rdommin>\n <rdommax>2013</rdommax>\n <attrunit>Year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HECO/ACHY</attrlabl>\n <attrdef>Hesperostipa comata and Achnatherum hymenoides</attrdef>\n <attrdefs>USDA Plants: http://plants.usda.gov</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6.9</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>All C3 PG</attrlabl>\n <attrdef>all perennial grasses with C3 photosynthesis (HECO, ACHY, others)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>6.9</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PLJA</attrlabl>\n <attrdef>Pleuraphis jamesii</attrdef>\n <attrdefs>USDA Plants: http://plants.usda.gov</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>24.9</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BOGR</attrlabl>\n <attrdef>Bouteloua gracilis</attrdef>\n <attrdefs>USDA Plants: http://plants.usda.gov</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>12.6</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SPCR</attrlabl>\n <attrdef>Sporobolus cryptandrus</attrdef>\n <attrdefs>USDA Plants: http://plants.usda.gov</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>7.2</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>All C4 PG</attrlabl>\n <attrdef>all perennial grasses with C4 photosynthesis (PLJA, BOGR, SPCR, others)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>24.9</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GUSA</attrlabl>\n <attrdef>Gutierrezia sarothrae</attrdef>\n <attrdefs>USDA Plants: http://plants.usda.gov</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>10</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ATCO</attrlabl>\n <attrdef>Atriplex confertifolia</attrdef>\n <attrdefs>USDA Plants: http://plants.usda.gov</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>20.6</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EPSP</attrlabl>\n <attrdef>Ephedra species</attrdef>\n <attrdefs>USDA Plants: http://plants.usda.gov</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>26.8</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>All SS</attrlabl>\n <attrdef>All subshrubs (GUSA, ATCO, EPSP, others)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>26.9</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ARTR</attrlabl>\n <attrdef>Artemisia tridentata</attrdef>\n <attrdefs>USDA Plants: http://plants.usda.gov</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>28</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CORA</attrlabl>\n <attrdef>Coleogyne ramosissima</attrdef>\n <attrdefs>USDA Plants: http://plants.usda.gov</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>42.8</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>All S</attrlabl>\n <attrdef>All shrubs (CORA, ARTR)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>42.8</rdommax>\n <attrunit>% canopy cover</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Denver Federal Center</address>\n <address>Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n </cntaddr>\n <cntvoice />\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.\n\nThis database, identified as, USGS_2016_SMunson_Rangeland_Ecology_Monitoring_Data_1967_2013_Data.xml, has been approved for release and publication by the U.S. Geological Survey (USGS). Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use.\n\nAlthough these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein.</distliab>\n <stdorder>\n <digform>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://dx.doi.org/10.5066/F75D8PZ5</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n </stdorder>\n <techpreq>This zip file contains data available in a machine readable extensible markup language (xml) format. The user must have software capable of uncompressing the 7-Zip file and displaying the tabular data.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Terence Arundel</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2255 North Gemini Drive</address>\n <city>Flagstaff</city>\n <state>Arizona</state>\n <postal>86001</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>928-556-7174</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
Generate a FGDC (Federal Geographic Data Committee) XML from following description of datarelease: | [Skip to main content](#sb-container-body)
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Stage, water velocity and water quality data collected in the Lower Nisqually River, McAllister Creek and tidal channels of the Nisqually River Delta, Thurston County, Washington, February 11, 2016 to September 18, 2017 (ver. 1.1, December, 2019)](/catalog/item/59c19fc4e4b091459a607317)
4. [Water Data for Nisqually River Delta at Site D4 (ver. 1.1, December 2019)](/catalog/folder/59f8d867e4b063d5d309f222)
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## Dates
Publication Date2019-06-26Start Date2016-10-13End Date2017-05-03Revision2019-12-27
## Citation
Opatz, C.C., Curran, C.A., Tecca A.E., and Grossman, E.E., 2019, Stage, water velocity and water quality data collected in the Lower Nisqually River, McAllister Creek and tidal channels of the Nisqually River Delta, Thurston County, Washington, February 11, 2016 to September 18, 2017 (ver. 1.1, December 2019): U.S. Geological Survey data release, https://doi.org/10.5066/F7GF0SG7.
## Summary
An upward-looking acoustic Doppler velocity meter (ADVM, SonTek SW, 3.0 MHz) located in a tidal channel of the Nisqually River Delta at site D4 (N 47° 05’ 37”/W 122° 42’ 18.7”) measured water depth and current velocity at 15-minute intervals from October 13, 2016 to May 3, 2017. This site is in a tidal channel at a levee breach where flow is tidally influenced. The water depth of the sensor ranged from 0.19 to 3.71 m and may have been lower during periods of extreme low tide. The sensor elevation was adjusted during inspection on 10/03/2017 and a correction of +0.33 m was added to water depth from 10/03/2017 to 03/13/2017. The elevation (NAVD88) of the ADVM sensor was survey by RTN-GPS. The offset to convert all water depth time-series \[...\]
## Summary
An upward-looking acoustic Doppler velocity meter (ADVM, SonTek SW, 3.0 MHz) located in a tidal channel of the Nisqually River Delta at site D4 (N 47° 05’ 37”/W 122° 42’ 18.7”) measured water depth and current velocity at 15-minute intervals from October 13, 2016 to May 3, 2017. This site is in a tidal channel at a levee breach where flow is tidally influenced. The water depth of the sensor ranged from 0.19 to 3.71 m and may have been lower during periods of extreme low tide. The sensor elevation was adjusted during inspection on 10/03/2017 and a correction of +0.33 m was added to water depth from 10/03/2017 to 03/13/2017. The elevation (NAVD88) of the ADVM sensor was survey by RTN-GPS. The offset to convert all water depth time-series data to water surface elevation (NAVD88) is -0.18 meters. The instrument temperature ranged from -0.4 to 15.9 degrees C. The mean downstream velocity component (Vx) ranged from -0.91 to 1.07 m/s (downstream is positive in X and upstream is negative). The mean vertical velocity component (Vy) ranged from -0.20 to 0.26 m/s and signal to noise ratio ranged from 17.6 to 50.4 dB. The ADVM measured the water-velocity profile using a dynamic boundary adjustment mode allowing up to 10 velocity measurements in the water-column profile. Time-series gaps of 15-minutes or more occurred when the instrument was offline or when error thresholds were exceeded. Also at this site, a non-vented, multiparameter sonde (YSI, 600 OMS) measured water depth, water temperature, specific conductance, salinity, and turbidity at 15-minute intervals from October 12, 2016 to March 31, 2017 (123 out of 170 days, excluding missing periods). The depth ranged from 0.06 to 3.66 m. The water temperature ranged from -0.3 to 16.1 degrees C. The specific conductance ranged from 160 to 38,850 micro-siemens per centimeter (uS/cm), and 0.1 to 24.7 practical salinity units (PSU). The turbidity ranged from 2.1 to 1,108 formazin nephelometric units (FNU). This site is also referenced as "USGS 12081518 Area Three near Olympia, WA". Discrete discharge data at this site are available at: https://waterdata.usgs.gov/wa/nwis/inventory/?site\_no=12081518&agency\_cd=USGS&
## Contacts
Point of Contact
:
[Chad C. Opatz](/catalog/catalogParty/show?partyId=Chad+C.+Opatz),
[USGS](/catalog/catalogParty/show?partyId=USGS)
Process Contact
:
[Chad Opatz](/catalog/catalogParty/show?partyId=Chad+Opatz),
[USGS/Washington Water Science Center](/catalog/catalogParty/show?partyId=USGS%2FWashington+Water+Science+Center)
Originator
:
[Chad C. Opatz](/catalog/catalogParty/show?partyId=Chad+C.+Opatz),
[Christopher A. Curran](/catalog/catalogParty/show?partyId=Christopher+A.+Curran),
[Allison E. Tecca](/catalog/catalogParty/show?partyId=Allison+E.+Tecca)
Metadata Contact
:
[Chad C. Opatz](/catalog/catalogParty/show?partyId=Chad+C.+Opatz),
[US Geological Survey](/catalog/catalogParty/show?partyId=US+Geological+Survey)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
## Attached Files - sorting - [Metadata First](/catalog/item/get/59f8d867e4b063d5d309f222?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/59f8d867e4b063d5d309f222?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/59f8d867e4b063d5d309f222?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| Water Data for Nisqually River Delta at Site D4.xml<br>_Original FGDC Metadata_ | View | 18.31 KB | application/fgdc+xml |
| 20161116\_132308.jpg |  | 3.32 MB | image/jpeg |
| D4\_ADVM\_1min.csv | | 11.4 KB | text/csv |
| D4\_ADVM\_15min.csv | | 735.64 KB | text/csv |
| D4\_YSI\_15min.csv | | 546.04 KB | text/csv |
| Revision History.txt | | 1.03 KB | text/plain |
| | | |
| --- | --- | --- |
| D4.zip | | 4.1 KB |
Shapefile:
D4.zip
## Purpose
Data were obtained to support hydrodynamic modeling efforts for informing adaptive management scenarios to improve delta restoration outcomes.
## Preview Image

## [Map](/catalog/item/imap/59f8d867e4b063d5d309f222)
[](/catalog/item/imap/59f8d867e4b063d5d309f222)
## Communities
- USGS Data Release Products
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [Hydrodynamics](/catalog/items?q=&filter=tags%3DHydrodynamics "Hydrodynamics (Hydrodynamics, Theme, USGS Thesaurus)")
- [Sediment](/catalog/items?q=&filter=tags%3DSediment "Sediment (Sediment, Theme, USGS Thesaurus)")
- [salinity](/catalog/items?q=&filter=tags%3Dsalinity "salinity (salinity, Theme, USGS Thesaurus)")
- [specific conductance](/catalog/items?q=&filter=tags%3Dspecific+conductance "specific conductance (specific conductance, Theme, USGS Thesaurus)")
- [stream stage](/catalog/items?q=&filter=tags%3Dstream+stage "stream stage (stream stage, Theme, USGS Thesaurus)")
- [temperature](/catalog/items?q=&filter=tags%3Dtemperature "temperature (temperature, Theme, USGS Thesaurus)")
- [time series data](/catalog/items?q=&filter=tags%3Dtime+series+data "time series data (time series data, Theme, USGS Thesaurus)")
Place
- [Billy Frank Jr. Nisqually National Wildlife Refuge](/catalog/items?q=&filter=tags%3DBilly+Frank+Jr.+Nisqually+National+Wildlife+Refuge "Billy Frank Jr. Nisqually National Wildlife Refuge (Billy Frank Jr. Nisqually National Wildlife Refuge, Place, Nisqually River)")
- [Thurston County](/catalog/items?q=&filter=tags%3DThurston+County "Thurston County (Thurston County, Place, Nisqually River)")
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## Provenance
Data sourceInput directly
Revision 1.1 completed by Chad Opatz on December 27, 2019. To review the changes that were made, see “Revision History.txt” in the attached files section.
## Additional Information
### Shapefile Extension
| files | | name | D4.zip |
| contentType | application/x-zip-compressed |
| pathOnDisk | \_\_disk\_\_e0/8a/4d/e08a4d2d97ccea9a43ec93314c9db1e441136dcb |
| size | 4202 |
| dateUploaded | Tue Jun 25 12:03:38 MDT 2019 | |
| name | D4 |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Chad C. Opatz</origin>\n <origin>Christopher A. Curran</origin>\n <origin>Allison E. Tecca</origin>\n <pubdate>20180601</pubdate>\n <title>Water Data for Nisqually River Delta at Site D4 (ver. 1.1, December, 2019)</title>\n <geoform>time series</geoform>\n <pubinfo>\n <pubplace>Tacoma, WA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7GF0SG7</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>An upward-looking acoustic Doppler velocity meter (ADVM, SonTek SW, 3.0 MHz) located in a tidal channel of the Nisqually River Delta at site D4 (N 47d 05\xe2\x80\x99 37\xe2\x80\x9d/W 122d 42\xe2\x80\x99 18.7\xe2\x80\x9d) measured water level and current velocity at 15-minute intervals from October 13, 2016 to May 3, 2017 (158 out of 202 days, excluding missing periods). This site is in a tidal channel at a levee breach where flow is tidally influenced. The water depth of the sensor ranged from 0.19 to 3.71 m and may have been lower during periods of extreme low tide. The sensor elevation was adjusted during inspection on 10/03/2017 and a correction of +0.33 m was added to water depth from 10/03/2017 to 03/13/2017. The elevation (NAVD88) of the ADVM sensor was survey by RTN-GPS. The offset to convert all water depth time-series data to water surface elevation (NAVD88) is -0.18 meters. The instrument temperature ranged from -0.4 to 15.9 degrees C. but may have been bias during periods of low tide due to solar heating of the instrument. Water level in the channel dropped below the elevation of the sensor during periods of low tide. The mean downstream velocity component (Vx) ranged from -0.91 to 1.07 m/s. The mean vertical velocity component (Vy) ranged from -0.20 to 0.26 m/s and signal to noise ratio ranged from 17.6 to 50.4 dB. The ADVM measured the water-velocity profile using a dynamic boundary adjustment mode allowing up to 10 velocity measurements in the water-column profile. Time-series gaps of 15-minutes or more occurred when the instrument was offline or when error thresholds were exceeded. Also at this site, a non-vented, multiparameter sonde (YSI, 600 OMS) measured water depth, water temperature, specific conductance, salinity, and turbidity at 15-minute intervals from October 12, 2016 to March 31, 2017 (123 out of 170 days, excluding missing periods). The depth ranged from 0.06 to 3.66 m. The water temperature ranged from -0.3 to 16.1 degrees C. The specific conductance ranged from 160 to 38,850 micro-siemens per centimeter (uS/cm), and 0.1 to 24.7 practical salinity units (PSU). The turbidity ranged from 2.1 to 1,108 formazin nephelometric units (FNU). This site is also referenced as "USGS 12081518 Area Three near Olympia, WA". Discrete discharge data at this site are available at: https://waterdata.usgs.gov/wa/nwis/inventory/?site_no=12081518&agency_cd=USGS&</abstract>\n <purpose>Data were obtained to support hydrodynamic modeling efforts for informing adaptive management scenarios to improve delta restoration outcomes.</purpose>\n <supplinf>A revision was made to the 15 minute ADVM stage parameter from 3/31/2017 to the end of record in the original Data Release. If you have any questions about the original stage data please reach out to the point of contact listed.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20161013</begdate>\n <enddate>20170503</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-122.7052</westbc>\n <eastbc>-122.7051</eastbc>\n <northbc>47.0935</northbc>\n <southbc>47.0934</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>Sediment</themekey>\n <themekey>Hydrodynamics</themekey>\n <themekey>stream stage</themekey>\n <themekey>temperature</themekey>\n <themekey>salinity</themekey>\n <themekey>specific conductance</themekey>\n <themekey>time series data</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:59f8d867e4b063d5d309f222</themekey>\n </theme>\n <place>\n <placekt>Nisqually River</placekt>\n <placekey>Billy Frank Jr. Nisqually National Wildlife Refuge</placekey>\n <placekey>Thurston County</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Chad C. Opatz</cntper>\n <cntorg>USGS</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>934 Broadway Ave. Suite 300</address>\n <city>Tacoma</city>\n <state>Washington</state>\n <postal>98405</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>253-552-1668</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Data were screened to remove erroneous values which may have occurred when the water level dropped below 0.2 m above the sensor or when the standard error of the reported velocity equaled 25 cm/s, the maximum error threshold.</procdesc>\n <procdate>20180712</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Chad Opatz</cntper>\n <cntorg>USGS/Washington Water Science Center</cntorg>\n </cntperp>\n <cntpos>Hydrologic Technician</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>934 Broadway Ave. Suite 300</address>\n <city>Tacoma</city>\n <state>WA</state>\n <postal>98402</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>253-552-1668</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>GNIS placename</indspref>\n <direct>Raster</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <local>\n <localdes>Area Three channel near Olympia (Site D4)</localdes>\n <localgeo>National Water Information System Site ID 12081518</localgeo>\n </local>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>D4_ADVM_15min</enttypl>\n <enttypd>A .csv file containing 15 minute time-series data</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>DateTime_UTC</attrlabl>\n <attrdef>MM/DD/YYYY HH:MM</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10/13/2016 21:00:00</rdommin>\n <rdommax>05/03/2017 17:30:00</rdommax>\n <attrunit>days</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Depth_m</attrlabl>\n <attrdef>Depth of sensor below water surface</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.19</rdommin>\n <rdommax>3.71</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Temp_C</attrlabl>\n <attrdef>Temperature of the instrument in water</attrdef>\n <attrdefs>producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.4</rdommin>\n <rdommax>15.9</rdommax>\n <attrunit>Degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Vx_m/s</attrlabl>\n <attrdef>The magnitude of the horizontal (downstream) component of a 2D velocity vector.</attrdef>\n <attrdefs>SonTek Inc.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.91</rdommin>\n <rdommax>1.07</rdommax>\n <attrunit>meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Vy_m/s</attrlabl>\n <attrdef>The magnitude of the vertical (upward) component of a 2D velocity vector.</attrdef>\n <attrdefs>SonTek Inc.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.20</rdommin>\n <rdommax>0.26</rdommax>\n <attrunit>meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SNR_dB</attrlabl>\n <attrdef>The mean ratio of the acoustic return signal power to the noise level</attrdef>\n <attrdefs>SonTek Inc.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>17.6</rdommin>\n <rdommax>50.4</rdommax>\n <attrunit>decibals</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SigAmp</attrlabl>\n <attrdef>The amplitude of the acoustic return signal.</attrdef>\n <attrdefs>SonTek Inc.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>75.5</rdommin>\n <rdommax>153</rdommax>\n <attrunit>Amplitude in counts</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Noise</attrlabl>\n <attrdef>The ambient noise level measured by the ADVM</attrdef>\n <attrdefs>SonTek Inc.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>32</rdommin>\n <rdommax>36.5</rdommax>\n <attrunit>Noise in counts</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>D4_ADVM_1min</enttypl>\n <enttypd>A .csv file containing 1 minute Time Series Data</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>DateTime_UTC</attrlabl>\n <attrdef>MM/DD/YYYY HH:MM</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>07/19/2017 18:53:00</rdommin>\n <rdommax>07/19/2017 22:44:00</rdommax>\n <attrunit>DD/MM/YYYY HH:MM:SS</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Depth_m</attrlabl>\n <attrdef>Depth of sensor below water surface</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.78</rdommin>\n <rdommax>2.67</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Temp_C</attrlabl>\n <attrdef>Temperature of the instrument submerged in water</attrdef>\n <attrdefs>producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>15.4</rdommin>\n <rdommax>20.7</rdommax>\n <attrunit>Degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Vx_m/s</attrlabl>\n <attrdef>The magnitude of the horizontal (downstream) component of a 2D velocity vector.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.12</rdommin>\n <rdommax>0.33</rdommax>\n <attrunit>meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Vy_m/s</attrlabl>\n <attrdef>The magnitude of the vertical (upward) component of a 2D velocity vector.</attrdef>\n <attrdefs>SonTek Inc.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.07</rdommin>\n <rdommax>0.03</rdommax>\n <attrunit>meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SNR_dB</attrlabl>\n <attrdef>The mean ratio of acoustic return signal power to the noise level</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>23</rdommin>\n <rdommax>41.1</rdommax>\n <attrunit>decibels</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SigAmp</attrlabl>\n <attrdef>Amplitude of the acoustic return signal</attrdef>\n <attrdefs>SonTek Inc.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>86</rdommin>\n <rdommax>128.5</rdommax>\n <attrunit>counts</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Noise</attrlabl>\n <attrdef>Ambient noise level</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>31</rdommin>\n <rdommax>34</rdommax>\n <attrunit>Counts</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>D4_YSI_15min</enttypl>\n <enttypd>A .csv file containing time series data for water level, water temperature, specific conductance, salinity and turbidity</enttypd>\n <enttypds>producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>DateTime_UTC</attrlabl>\n <attrdef>DD/MM/YYYY HH:MM:SS</attrdef>\n <attrdefs>producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10/12/2016</rdommin>\n <rdommax>03/31/2017 18:30</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Depth_m</attrlabl>\n <attrdef>Depth of the non-vented pressure sensor below water, surface not corrected for barometric change.</attrdef>\n <attrdefs>producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.06</rdommin>\n <rdommax>3.66</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Temp_C</attrlabl>\n <attrdef>Water temperature</attrdef>\n <attrdefs>producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-0.3</rdommin>\n <rdommax>16.1</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SpCond_uS/cm</attrlabl>\n <attrdef>Specific conductance of the water at 25 degrees Celsius</attrdef>\n <attrdefs>producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>160</rdommin>\n <rdommax>38850</rdommax>\n <attrunit>microSiemans per centimeter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Salinity_PSU</attrlabl>\n <attrdef>Salinity of the water, a measure of dissolved solids in the water</attrdef>\n <attrdefs>producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>24.7</rdommax>\n <attrunit>Practical Salinity Units</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Turbidity_FNU</attrlabl>\n <attrdef>Turbidity of the water</attrdef>\n <attrdefs>producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2.1</rdommin>\n <rdommax>1108</rdommax>\n <attrunit>Formazin Nephelometric Units (FNU)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>Chad Opatz</cntper>\n <cntorg>USGS/Washington Water Science Center</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>934 Broadway Ave Suite 300</address>\n <city>Tacoma</city>\n <state>WA</state>\n <postal>98402</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>253-552-1668</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that these data are directly acquired from a U.S. Geological Survey server, and not indirectly through other sources which may have changed the data in some way. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein</distliab>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Chad C. Opatz</cntper>\n <cntorg>US Geological Survey</cntorg>\n </cntperp>\n <cntpos>Hydrologic Technician</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>934 Broadway Ave Suite 300</address>\n <city>Tacoma</city>\n <state>Washington</state>\n <postal>98405</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>253-552-1668</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS California Water Science Center](/catalog/item/56f1713ce4b0f59b85de0b44)
3. [CAWSC Data Releases (Published)](/catalog/item/584b2820e4b07e29c706dec3)
4. [Location and population served by domestic wells in California](/catalog/folder/55ad2901e4b066a24924099b)
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## Dates
Publication Date2015-08-21Time Period1990-01-01
## Citation
Johnson, T.D. and Belitz, K., 2015, Location and population served by domestic wells in California: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F70R9MFW.
## Summary
This dataset identifies the number of individually-owned domestic wells, and the number of households relying upon domestic water supply in the state of California. The number of wells and households are summarized for each Public Land Survey System (PLSS) section. The well locations were determined from more than 635,000 scanned well-completion reports (WCRs) provided by the California Department of Water Resources in 2011. This is only a partial sample of the total number of WCRs (estimated at 1 to 2 million in total). The number of domestic wells was estimated based upon a spatially distributed and randomized survey that determined the Township Ratio (TR) for each township in the state (4,692 in total). Each township generally contains \[...\]
## Summary
This dataset identifies the number of individually-owned domestic wells, and the number of households relying upon domestic water supply in the state of California. The number of wells and households are summarized for each Public Land Survey System (PLSS) section. The well locations were determined from more than 635,000 scanned well-completion reports (WCRs) provided by the California Department of Water Resources in 2011. This is only a partial sample of the total number of WCRs (estimated at 1 to 2 million in total). The number of domestic wells was estimated based upon a spatially distributed and randomized survey that determined the Township Ratio (TR) for each township in the state (4,692 in total). Each township generally contains 36 sections (6 x 6). The total number of wells within a section was multiplied by the corresponding TR to estimate the number of domestic wells within each section. See the "TRatio" column in the attribute table. Each section within the same township will have the same Township Ratio. The domestic household data are from the 1990 US Census. These data were provided at the census tract level and were subsequently aggregated to PLSS sections that contained a domestic well. In the case where census tract data identified households using domestic supply, but there were no domestic wells within the tract, the household data were distributed evenly to all sections within the tract. In San Luis Obispo County, the scanned WCRs were incomplete. Therefore, a surrogate method was used. The total number of households reported by the 1990 census did not change; only the distribution of where those households existed within the tract changed. A WCR was considered an individually-owned domestic well if the primary use of the well was identified as being domestic, the owner was an individual, and the well was not destroyed as of 1990. See the larger body work (Johnson, T.D., and Belitz, K., 2015, Identifying the location and population served by domestic wells in California: Journal of Hydrology: Regional Studies, Volume 3, Pages 31-86. Available at [http://dx.doi.org/10.1016/j.ejrh.2014.09.002](http://dx.doi.org/10.1016/j.ejrh.2014.09.002)) for more details.
## Contacts
Originator
:
[Tyler Johnson](/catalog/catalogParty/show?partyId=5169)
Point of Contact
:
[Tyler Johnson](/catalog/catalogParty/show?partyId=5169)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey+-+ScienceBase)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
:
[California Water Science Center](/catalog/catalogParty/show?partyId=17434)
## Attached Files - sorting - [Metadata First](/catalog/item/get/55ad2901e4b066a24924099b?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/55ad2901e4b066a24924099b?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/55ad2901e4b066a24924099b?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
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| | | |
| --- | --- | --- |
| CA\_DomesticWls\_HH.shp.xml<br>_Original FGDC Metadata_ | View | 16.18 KB |
| CA\_DomesticWls\_HH.shp | | 30.48 MB |
| CA\_DomesticWls\_HH.dbf | | 16.49 MB |
| CA\_DomesticWls\_HH.shx | | 1.21 MB |
| CA\_DomesticWls\_HH.prj | | 445 Bytes |
| CA\_DomesticWls\_HH.sbn | | 1.52 MB |
| CA\_DomesticWls\_HH.sbx | | 74.18 KB |
| CA\_DomesticWls\_HH.cpg | | 5 Bytes |
Shapefile:
California Domestic Wells and Households.zip
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Tyler D. Johnson, Kenneth Belitz, Identifying the location and population served by domestic wells in California, Journal of Hydrology: Regional Studies, Volume 3, March 2015, Pages 31-86, ISSN 2214-5818, http://dx.doi.org/10.1016/j.ejrh.2014.09.002. | [http://dx.doi.org/10.1016/j.ejrh.2014.09.002](http://dx.doi.org/10.1016/j.ejrh.2014.09.002 "http://dx.doi.org/10.1016/j.ejrh.2014.09.002") |
## Purpose
The purpose of this dataset is to identify the spatial distribution of the domestic wells and the households using domestic supply in California as of 1990.
## [Map](/catalog/item/imap/55ad2901e4b066a24924099b)
[](/catalog/item/imap/55ad2901e4b066a24924099b)
## Spatial Services
ScienceBase WMS
ScienceBase WFS
## Communities
- USGS California Water Science Center
- USGS Data Release Products
## Associated Items
- _related to_ [Identifying the location and population served by domestic wells in California](/catalog/item/55c333ade4b033ef52106a96 "Associated Publication")
- [View Associated Items](/catalog/itemLinks?itemId=55ad2901e4b066a24924099b)
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [California](/catalog/items?q=&filter=tags%3DCalifornia "California (California, Theme, ISO 19115 Topic Categories)")
- [domestic](/catalog/items?q=&filter=tags%3Ddomestic "domestic (domestic, Theme, ISO 19115 Topic Categories)")
- [groundwater](/catalog/items?q=&filter=tags%3Dgroundwater "groundwater (groundwater, Theme, ISO 19115 Topic Categories)")
- [households](/catalog/items?q=&filter=tags%3Dhouseholds "households (households, Theme, ISO 19115 Topic Categories)")
- [location](/catalog/items?q=&filter=tags%3Dlocation "location (location, Theme, ISO 19115 Topic Categories)")
- [wells](/catalog/items?q=&filter=tags%3Dwells "wells (wells, Theme, ISO 19115 Topic Categories)")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
USGS Scientific Topic Keyword
- [Water Resources](/catalog/items?q=&filter=tags%3DWater+Resources "Water Resources (Water Resources, USGS Scientific Topic Keyword, )")
Types
- [Downloadable](/catalog/items?q=&filter=browseType%3DDownloadable "Downloadable")
- [Map Service](/catalog/items?q=&filter=browseType%3DMap+Service "Map Service")
- [OGC WFS Layer](/catalog/items?q=&filter=browseType%3DOGC+WFS+Layer "OGC WFS Layer")
- [OGC WMS Layer](/catalog/items?q=&filter=browseType%3DOGC+WMS+Layer "OGC WMS Layer")
- [Shapefile](/catalog/items?q=&filter=browseType%3DShapefile "Shapefile")
## Provenance
Data sourceInput directly
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F70R9MFW |
### Shapefile Extension
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| size | 31965360 |
| dateUploaded | Wed Oct 28 15:05:14 MDT 2015 |
| name | CA\_DomesticWls\_HH.dbf |
| contentType | text/plain |
| pathOnDisk | \_\_disk\_\_90/07/b8/9007b8cd2e1f001ac01ed4a1cb6daafce9670e9f |
| imageWidth | 580 |
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| dateUploaded | Wed Oct 28 15:05:09 MDT 2015 |
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| contentType | x-gis/x-shapefile |
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| size | 1269420 |
| dateUploaded | Wed Oct 28 15:05:03 MDT 2015 |
| name | CA\_DomesticWls\_HH.prj |
| contentType | text/plain |
| pathOnDisk | \_\_disk\_\_a6/1c/cb/a61ccbdbc4a9b36d2932bebd438fc85e4513a758 |
| imageWidth | 580 |
| imageHeight | 435 |
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| dateUploaded | Wed Oct 28 15:05:01 MDT 2015 |
| name | CA\_DomesticWls\_HH.shp.xml |
| contentType | application/fgdc+xml |
| pathOnDisk | \_\_disk\_\_50/66/f5/5066f5c047f8fe3b8abed6fe021a8b723451bfcc |
| dateUploaded | Wed Aug 12 07:04:59 MDT 2020 |
| originalMetadata | true |
| name | CA\_DomesticWls\_HH.sbn |
| contentType | x-gis/x-shapefile |
| pathOnDisk | \_\_disk\_\_72/e6/46/72e6467877cd84750ab69d7923590eff94772137 |
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| dateUploaded | Wed Oct 28 15:05:04 MDT 2015 |
| name | CA\_DomesticWls\_HH.sbx |
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| size | 75956 |
| dateUploaded | Wed Oct 28 15:05:01 MDT 2015 |
| name | CA\_DomesticWls\_HH.cpg |
| contentType | text/plain |
| pathOnDisk | \_\_disk\_\_7c/00/1f/7c001f97b40b04273598d5e14efda7adfec5e946 |
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| dateUploaded | Wed Oct 28 15:05:01 MDT 2015 | |
| geometryType | MultiPolygon |
| name | California Domestic Wells and Households |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Tyler Johnson</origin>\n <pubdate>20150821</pubdate>\n <title>Location and population served by domestic wells in California</title>\n <geoform>Vector Digital Data Set (Polygon)</geoform>\n <onlink>http://dx.doi.org/10.5066/F70R9MFW</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Johnson, Tyler D.</origin>\n <origin>Belitz, Kenneth</origin>\n <pubdate>20150301</pubdate>\n <title>Identifying the location and population served by domestic wells in California</title>\n <geoform>Publication (Journal)</geoform>\n <serinfo>\n <sername>Journal of Hydrology: Regional Studies</sername>\n <issue>3 (2015) 31-86</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <onlink>http://www.sciencedirect.com/science/article/pii/S2214581814000305</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This dataset identifies the number of individually-owned domestic wells, and the number of households relying upon domestic water supply in the state of California. The number of wells and households are summarized for each Public Land Survey System (PLSS) section. The well locations were determined from more than 635,000 scanned well-completion reports (WCRs) provided by the California Department of Water Resources in 2011. This is only a partial sample of the total number of WCRs (estimated at 1 to 2 million in total). The number of domestic wells was estimated based upon a spatially distributed and randomized survey that determined the Township Ratio (TR) for each township in the state (4,692 in total). Each township generally contains 36 sections (6 x 6). The total number of wells within a section was multiplied by the corresponding TR to estimate the number of domestic wells within each section. See the "TRatio" column in the attribute table. Each section within the same township will have the same Township Ratio. The domestic household data are from the 1990 US Census. These data were provided at the census tract level and were subsequently aggregated to PLSS sections that contained a domestic well. In the case where census tract data identified households using domestic supply, but there were no domestic wells within the tract, the household data were distributed evenly to all sections within the tract. In San Luis Obispo County, the scanned WCRs were incomplete. Therefore, a surrogate method was used. The total number of households reported by the 1990 census did not change; only the distribution of where those households existed within the tract changed. \nA WCR was considered an individually-owned domestic well if the primary use of the well was identified as being domestic, the owner was an individual, and the well was not destroyed as of 1990. See the larger body work (Johnson and Belitz 2015) for more details.</abstract>\n <purpose>The purpose of this dataset is to identify the spatial distribution of the domestic wells and the households using domestic supply in California as of 1990.</purpose>\n <supplinf>Currentness: households using domestic supply is from the 1990 U.S. Census; domestic well locations are derived from a dataset acquired from the California Department of Water Resources in 2011.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>19900101</caldate>\n </sngdate>\n </timeinfo>\n <current>See Supplemental Info</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-124.507576854</westbc>\n <eastbc>-113.489014915</eastbc>\n <northbc>42.061478244</northbc>\n <southbc>32.425448895</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Categories</themekt>\n <themekey>California</themekey>\n <themekey>domestic</themekey>\n <themekey>groundwater</themekey>\n <themekey>location</themekey>\n <themekey>households</themekey>\n <themekey>wells</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:55ad2901e4b066a24924099b</themekey>\n </theme>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey, PACIFIC REGION</cntorg>\n <cntper>Tyler Johnson</cntper>\n </cntorgp>\n <cntpos>Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>4165 Spruance Road</address>\n <address>Suite 200</address>\n <city>San Diego</city>\n <state>CA</state>\n <postal>92101</postal>\n </cntaddr>\n <cntvoice>619-225-6100</cntvoice>\n <cntfax>619-225-6101</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted. While the data are provided at the section scale (approximately 1 square mile) the domestic well data should not be used at this scale. See larger body of work (Johnson and Belitz, 2015) for more detailed assessment of the limitations with this dataset.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>California Dept. of Pesticide Research (CDPR)</origin>\n <pubdate>20000101</pubdate>\n <title>Pesticide Use Reporting by Public Land Survey System (PLSS)</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Sacramento, CA</pubplace>\n <publish>California Dept of Pesticide Research</publish>\n </pubinfo>\n <onlink>http://www.cdpr.ca.gov/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20000101</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>PLSS</srccitea>\n <srccontr>This dataset provided the polygon boundaries of the PLSS sections.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>The PLSS dataset was obtained from the CDPR. Accuracies of this data set are not verified.</procdesc>\n <procdate>unknown</procdate>\n </procstep>\n <procstep>\n <procdesc>The California Department of Water Resources provided more than 741,000 well completion reports in 2011, of which more than 635,000 were able to be geolocated in the state. Most were located to the center of a PLSS section. The number of wells was aggregated to the PLSS section. See the associated work (Johnson and Belitz, 2015) for more details.</procdesc>\n <procdate>20140101</procdate>\n </procstep>\n <procstep>\n <procdesc>The Township Ratio was used to estimate the number of domestic wells within a PLSS section, except in San Luis Obispo County (SLO_Co) where geology was used. See the associated work (Johnson and Belitz, 2015) for more details.</procdesc>\n <procdate>20140101</procdate>\n </procstep>\n <procstep>\n <procdesc>The 1990 U.S. census data was used for the domestic household data. Numbers of households were not changed or updated. The number of households was aggregated to the PLSS section. See the associated work (Johnson and Belitz, 2015) for more details.</procdesc>\n <procdate>20140101</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Vector</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>G-polygon</sdtstype>\n <ptvctcnt>158665</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>NAD 1983 Albers (ESRI Full Name: NAD_1983_Albers)</mapprojn>\n <albers>\n <stdparll>29.5</stdparll>\n <stdparll>45.5</stdparll>\n <longcm>-120.0</longcm>\n <latprjo>23.0</latprjo>\n <feast>0.0</feast>\n <fnorth>0.0</fnorth>\n </albers>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.6096</absres>\n <ordres>0.6096</ordres>\n </coordrep>\n <plandu>Meter</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D_North_American_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Attribute Table</enttypl>\n <enttypd>Table containing attribute information associated with the data set.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>MTRS</attrlabl>\n <attrdef>The PLSS section ID. Meridian, Township, Range, Section</attrdef>\n <attrdefs>DPR</attrdefs>\n <attrdomv>\n <udom>Values represent the PLSS identifier in meridian (M), township (T), range (R), section (S)\nMTTRRSS</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>All_Wells</attrlabl>\n <attrdef>The number of wells within a polygon (PLSS section), independent of type.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1720</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Dom_Wells</attrlabl>\n <attrdef>The number of domestic wells within a polygon (PLSS section) computed from the Township Ratio.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>668.000000002</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TRatio</attrlabl>\n <attrdef>Township Ratio. The ratio of the number of domestic wells to all types of wells for a given township. All sections within the same township will have the same ratio. For example, a township with a total of 10 wells, of which 5 are domestic wells will have a Township Ratio of 0.5.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1</rdommax>\n <attrunit>ratio</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Dom_HH</attrlabl>\n <attrdef>Number of households using domestic supply. Data from the 1990 U.S. Census.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>720.588301348</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SLO_Co</attrlabl>\n <attrdef>Denotes whether a PLSS section was all or partially located in San Luis Obispo County (SLO_Co) and a method other than domestic well locations was therefore used to locate households using domestic supply. The Well Completion Reports for SLO_Co were incomplete and consequently not used. Instead, a method based upon geology and other ancillary factors was used. See Johnson and Belitz (2015) for more details. A "1" indicates true; a "0" indicates false.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Area</attrlabl>\n <attrdef>Area of each polygon in meters squared</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>30.5305344333</rdommin>\n <rdommax>1193195807.4</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and(or) agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n <cntper />\n </cntorgp>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the U.S. Geological Survey in the use of these data, software, or related materials. The use of firm, trade, or brand names in this report is for identification purposes only and does not constitute endorsement by the U.S. Geological Survey. The names mentioned in this document may be trademarks or registered trademarks of their respective trademark owners.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Vector Digital Data Set (Polygon)</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>http://dx.doi.org/10.5066/F70R9MFW</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200812</metd>\n <metc>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey, PACIFIC REGION</cntorg>\n <cntper>Tyler Johnson</cntper>\n </cntorgp>\n <cntpos>Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>4165 Spruance Road</address>\n <address>Suite 200</address>\n <city>San Diego</city>\n <state>CA</state>\n <postal>92101</postal>\n </cntaddr>\n <cntvoice>619-225-6137</cntvoice>\n <cntfax>619-225-6101</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <mettc>local time</mettc>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2019-10-07Time Period2010
## Citation
Wise, D.R., 2019, Population with On-Site Wastewater Treatment within the Pacific Drainages of the United States, 2010: U.S. Geological Survey data release, https://doi.org/10.5066/P979BBCQ.
## Summary
The U.S. Geological Survey (USGS) is developing SPARROW models (SPAtially Related Regressions On Watershed Attributes) to assess the transport of contaminants (e.g., nutrients) through the Pacific drainages of the United States (the Columbia River basin; the coastal drainages of Washington, Oregon, and California; the Klamath River basin; the Central Valley of California, and the west slopes of the Sierra Nevada Mountains). SPARROW relates instream water quality measurements to spatially referenced characteristics of watersheds, including contaminant sources and the factors influencing terrestrial and aquatic transport. The number of people with on-site wastewater treatment (primarily septic tanks) is a potential factor affecting nutrient \[...\]
## Summary
The U.S. Geological Survey (USGS) is developing SPARROW models (SPAtially Related Regressions On Watershed Attributes) to assess the transport of contaminants (e.g., nutrients) through the Pacific drainages of the United States (the Columbia River basin; the coastal drainages of Washington, Oregon, and California; the Klamath River basin; the Central Valley of California, and the west slopes of the Sierra Nevada Mountains). SPARROW relates instream water quality measurements to spatially referenced characteristics of watersheds, including contaminant sources and the factors influencing terrestrial and aquatic transport. The number of people with on-site wastewater treatment (primarily septic tanks) is a potential factor affecting nutrient delivery to streams. The spatial data set “Population with On-Site Wastewater Treatment within the Pacific Drainages of the United States, 2010" represents the number of people that did not have access to centralized municipal wastewater treatment in 2010. This data set was created by disaggregating census block populations to developed land and retaining those populations that were outside of the service boundaries for municipal wastewater treatment plants.
## Contacts
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## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Wise, D.R., 2019, Spatially referenced models of streamflow and nitrogen, phosphorus, and suspended-sediment loads in streams of the Pacific region of the United States: U.S. Geological Survey Scientific Investigations Report, https://doi.org/10.3133/sir20195112. | [https://doi.org/10.3133/sir20195112](https://doi.org/10.3133/sir20195112 "https://doi.org/10.3133/sir20195112") |
## Purpose
The purpose of this data set is to provide water-quality and land management analysts with a tool for assessing the importance of on-site wastewater treatment in the Pacific drainages of the United States. An existing data set of populations within the Pacific drainages with on-site wastewater treatment (Wise and Johnson, 2013) is inadequate because it represented 2002 conditions and, more importantly, did not include the Klamath River Basin in Oregon or any of the watersheds in California. The new dataset representing number of people with on-site wastewater treatment in 2010 could be useful in watershed modeling, as well as other types of water-quality and land management analyses in the western United States.
Wise, D.R., and Johnson, H.M., 2013, Application of the SPARROW model to assess surface-water nutrient conditions and sources in the United States Pacific Northwest: U.S. Geological Survey Scientific Investigations Report 2013–5103, 32 p., http://pubs.usgs.gov/sir/2013/5103/.
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## Provenance
## Additional Information
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| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P979BBCQ |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Daniel Wise</origin>\n <pubdate>20191007</pubdate>\n <title>Population with On-Site Wastewater Treatment within the Pacific Drainages of the United States, 2010</title>\n <geoform>Raster Digital Data Set (geo-referenced TIFF format)</geoform>\n <pubinfo>\n <pubplace>Portland, OR</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P979BBCQ</onlink>\n <onlink>doi:10.5066/P979BBCQ</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The U.S. Geological Survey (USGS) is developing SPARROW models (SPAtially Related Regressions On Watershed Attributes) to assess the transport of contaminants (for example, nutrients) through the Pacific drainages of the United States (the Columbia River basin; the coastal drainages of Washington, Oregon, and California; the Klamath River basin; the Central Valley of California, and the west slopes of the Sierra Nevada Mountains). SPARROW relates instream water quality measurements to spatially referenced characteristics of watersheds, including contaminant sources and the factors influencing terrestrial and aquatic transport. The number of people with on-site wastewater treatment (primarily septic tanks) is a potential factor affecting nutrient delivery to streams. The spatial data set \xe2\x80\x9cPopulation with On-Site Wastewater Treatment within the Pacific Drainages of the United States (2010)" represents the number of people that did not have access to centralized municipal wastewater treatment in 2010. This data set was created by disaggregating census block populations to developed land and retaining those populations that were outside of the service boundaries for municipal wastewater treatment plants.</abstract>\n <purpose>The purpose of this data set is to provide water-quality and land management analysts with a tool for assessing the importance of on-site wastewater treatment in the Pacific drainages of the United States. An existing data set of populations within the Pacific drainages with on-site wastewater treatment (Wise and Johnson, 2013) is inadequate because it represented 2002 conditions and, more importantly, did not include the Klamath River Basin in Oregon or any of the watersheds in California. The new dataset representing number of people with on-site wastewater treatment in 2010 could be useful in watershed modeling, as well as other types of water-quality and land management analyses in the western United States.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>2010</caldate>\n </sngdate>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-127.887318</westbc>\n <eastbc>-107.28336</eastbc>\n <northbc>50.880347</northbc>\n <southbc>31.57153</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>waste treatment and disposal</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Categories</themekt>\n <themekey>society</themekey>\n <themekey>environment</themekey>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5b68afe6e4b006a11f75b866</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Western United States</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Daniel Wise</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2130 SW 5th Avenue</address>\n <city>Portland</city>\n <state>OR</state>\n <postal>97201</postal>\n <country>U.S.</country>\n </cntaddr>\n <cntvoice>503-251-3213</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>The raster data set of non-sewered population was compared to the source data sets to identify inconsistent results.</attraccr>\n </attracc>\n <logic>The values in the raster data set fall within the expected range. Values less than one were expected because each 30 meter cell represents an average value for an entire census block.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Wise, D.R., and Johnson, H.M.</origin>\n <pubdate>2013</pubdate>\n <title>Areas with access to municipal sewer service in the United States Pacific Northwest for 2002</title>\n <geoform>Vector digital data set</geoform>\n <pubinfo>\n <pubplace>Portland, OR</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2013-5103_PNW_SPARROW_SewageTreatment_Sewered_SeweredAreas.xml</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Spatial data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20020101</begdate>\n <enddate>20021231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Ground Condition</srccurr>\n </srctime>\n <srccitea>2002 PNW sewered</srccitea>\n <srccontr>Used to delineate areas that had municipal sewer service in 2010 (step 1).</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Census Bureau</origin>\n <pubdate>2011</pubdate>\n <title>Population and Housing Unit Counts - Blocks</title>\n <geoform>Vector digital data set</geoform>\n <pubinfo>\n <pubplace>Washington, DC</pubplace>\n <publish>U.S. Census Bureau</publish>\n </pubinfo>\n <onlink>https://www.census.gov/geo/maps-data/data/tiger-data.html</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Spatial data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20100101</begdate>\n <enddate>20101231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Ground Condition</srccurr>\n </srctime>\n <srccitea>2010 census</srccitea>\n <srccontr>Used to estimate total population distribution on developed land (step 2).</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Multi-Resolution Land Characteristics (MRLC) Consortium</origin>\n <pubdate>2015</pubdate>\n <title>National Land Cover Database 2011</title>\n <geoform>Raster digital data det</geoform>\n <pubinfo>\n <pubplace>Washington, DC</pubplace>\n <publish>Multi-Resolution Land Characteristics (MRLC) Consortium</publish>\n </pubinfo>\n <onlink>https://www.mrlc.gov/data/nlcd-2011-land-cover-conus</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Spatial data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20110101</begdate>\n <enddate>20111231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Ground Condition</srccurr>\n </srctime>\n <srccitea>2011 NLCD</srccitea>\n <srccontr>Used to estimate total population distribution on developed land (step 2).</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Step 1: Delineation of municipal sewer service areas. \na). Updated \xe2\x80\x9c2002 PNW sewered\xe2\x80\x9d shapefile (Wise and Johnson, 2013) to represent areas with sewer service in 2010 conditions. \nb). Created shapefile representing areas with municipal sewer service that were not included in \xe2\x80\x9c2002 PNW sewered\xe2\x80\x9d. The data set was compiled on a county-by-county basis. Sewered areas in each county reflected shapefiles provided by government agencies within the county, sewered areas delineated by USGS staff, urban areas within each county that were served by a wastewater treatment facility with an National Pollutant Discharge Elimination System permit or land-application wastewater treatment permit, or a combination of these approaches. \nc) Merged shapefiles from generated in steps (1.a) and (1.b) to create a regional shapefile representing areas with municipal sewer service within the Pacific drainages of the United States.</procdesc>\n <procdate>20160601</procdate>\n </procstep>\n <procstep>\n <procdesc>Step 2: Disaggregation of census block to data to developed land. \na) Created 30-meter raster representing each census block. \nb) Created 30-meter raster representing 2011_NLCD low, medium, and high developed land (22,23,24; excluded class 21 because it mostly included land where residential development was not likely). \nc) Used COMBINE tool to combine the rasters created in steps (2.a) and (2.b). \nd) Calculated the number of people per each developed land cell (census bock population divided by the number of developed cells within the census block): \ne) Used LOOKUP tool to create a raster showing the number of people per developed land cell:</procdesc>\n <procdate>20160601</procdate>\n </procstep>\n <procstep>\n <procdesc>Step 3: Selection of population without municipal sewer service. \na) Used EXTRACT BY MASK to select cells from raster created in step (2.e) that were located within the areas represented in the shapefile created in step (1.c). \nb) Used RECLASS to change all population values to 0 in the raster created in step (3.a). \nc) Multiplied the raster created in step (2.e) by the raster created in step (3.b). This step removes all population residing within areas with sewer service. The resulting raster only includes non-zero values for areas outside of those areas. Cells with No Data represent areas that were not covered by the data sets used to create this raster data set.</procdesc>\n <procdate>20160601</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Raster</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Albers Conical Equal Area</mapprojn>\n <albers>\n <stdparll>29.5</stdparll>\n <stdparll>45.5</stdparll>\n <longcm>-96.0</longcm>\n <latprjo>23.0</latprjo>\n <feast>0.0</feast>\n <fnorth>0.0</fnorth>\n </albers>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>30.0</absres>\n <ordres>30.0</ordres>\n </coordrep>\n <plandu>METERS</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D_North_American_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Attribute table</enttypl>\n <enttypd>Table contains 30 meter cells representing the number people using on-site wastewater treatment in 2010</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>VALUE</attrlabl>\n <attrdef>Number of people using on-site wastewater treatment for each developed land cell. This is an average value that is based on the population residing in a census block. Therefore, values less than 1.0 are possible.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.00008</rdommin>\n <rdommax>813</rdommax>\n <attrunit>count</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Daniel Wise</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2130 SW 5th Avenue</address>\n <city>Portland</city>\n <state>OR</state>\n <postal>97201</postal>\n <country>U.S.</country>\n </cntaddr>\n <cntvoice>503-251-3213</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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3. [Model Input and Output for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin using the Precipitation Runoff Modeling System](/catalog/item/58ae8278e4b01ccd54f9ed9f)
4. [Hydrologic Response Units Used with the Precipitation Runoff Modeling System for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin in the southeastern U.S.](/catalog/folder/5919ba7ae4b044b359e48a30)
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## Dates
Publication Date2017Time Period2014
## Citation
LaFontaine, J.H., Jones, L.E., and Painter, J.A., 2017, Model Input and Output for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin using the Precipitation Runoff Modeling System: U.S. Geological Survey data release, https://doi.org/10.5066/F7FJ2F1R.
## Summary
The hydrologic response units (HRUs) available here are for seven applications of the Precipitation Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin (ACFB) by LaFontaine and others (2017). Geographic Information System (GIS) files for the HRUs in each of the seven model applications (whole ACFB, Chestatee River, Chipola River, Ichawaynochaway Creek, Potato Creek, Spring Creek, and Upper Chattahoochee River) are provided as shapefiles with attributes identifying the numbering convention used in the PRMS models of the ACFB.
## Summary
The hydrologic response units (HRUs) available here are for seven applications of the Precipitation Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin (ACFB) by LaFontaine and others (2017). Geographic Information System (GIS) files for the HRUs in each of the seven model applications (whole ACFB, Chestatee River, Chipola River, Ichawaynochaway Creek, Potato Creek, Spring Creek, and Upper Chattahoochee River) are provided as shapefiles with attributes identifying the numbering convention used in the PRMS models of the ACFB.
## Contacts
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| Metadata\_hrus.xml<br>_Original FGDC Metadata_ | View | 19.47 KB | application/fgdc+xml |
| ACFB\_hrus.zip | | 11.12 MB | application/zip |
| Chestatee\_River\_hrus.zip | | 187.28 KB | application/zip |
| Chipola\_River\_hrus.zip | | 468.02 KB | application/zip |
| Ichawaynochaway\_Creek\_hrus.zip | | 672.06 KB | application/zip |
| Potato\_Creek\_hrus.zip | | 275.73 KB | application/zip |
| Spring\_Creek\_hrus.zip | | 339.32 KB | application/zip |
| Upper\_Chattahoochee\_River\_hrus.zip | | 182.75 KB | application/zip |
## Purpose
These data were developed to parameterize applications of the Precipitation Runoff Modeling System in the Apalachicola-Chattahoochee-Flint River basin.
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Jacob H. LaFontaine</origin>\n <origin>L. Elliott Jones</origin>\n <origin>Jaime A. Painter</origin>\n <pubdate>2017</pubdate>\n <title>Hydrologic Response Units Used with the Precipitation Runoff Modeling System for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin in the southeastern U.S.</title>\n <geoform>Vector-based GIS shapefiles</geoform>\n <pubinfo>\n <pubplace>South Atlantic Water Science Center, Norcross, GA</pubplace>\n <publish>U.S. Geological Survey data release</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7FJ2F1R</onlink>\n <lworkcit>\n <citeinfo>\n <origin>LaFontaine, J.H., Jones, L.E., and Painter, J.A.</origin>\n <pubdate>2017</pubdate>\n <title>Simulations of hydrologic response in the Apalachicola-Chattahoochee-Flint River Basin, southeastern United States</title>\n <geoform>Vector-based data</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The hydrologic response units (HRUs) available here are for seven applications of the Precipitation Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin (ACFB) by LaFontaine and others (2017). Geographic Information System (GIS) files for the HRUs in each of the seven model applications (whole ACFB, Chestatee River, Chipola River, Ichawaynochaway Creek, Potato Creek, Spring Creek, and Upper Chattahoochee River) are provided as shapefiles with attributes identifying the numbering convention used in the PRMS models of the ACFB.</abstract>\n <purpose>These data were developed to parameterize applications of the Precipitation Runoff Modeling System in the Apalachicola-Chattahoochee-Flint River basin.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>2014</caldate>\n </sngdate>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-86.0</westbc>\n <eastbc>-83.0</eastbc>\n <northbc>35.0</northbc>\n <southbc>29.5</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>streamflow</themekey>\n <themekey>model</themekey>\n <themekey>streamflow modeling</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5919ba7ae4b044b359e48a30</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System</placekt>\n <placekey>Apalachicola River</placekey>\n <placekey>Chattahoochee River</placekey>\n <placekey>Flint River</placekey>\n <placekey>Chestatee River</placekey>\n <placekey>Chipola River</placekey>\n <placekey>Potato Creek</placekey>\n <placekey>Ichawaynochaway Creek</placekey>\n <placekey>Spring Creek</placekey>\n <placekey>Alabama</placekey>\n <placekey>Georgia</placekey>\n <placekey>Florida</placekey>\n </place>\n </keywords>\n <accconst>No access constraints as all data is open and non-proprietary.</accconst>\n <useconst>Please note limitations as noted in text.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Jacob H. LaFontaine</cntper>\n <cntorg>South Atlantic Water Science Center</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1770 Corporate Drive, Suite 500</address>\n <city>Norcross</city>\n <state>GA</state>\n <postal>30093</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>678-924-6664</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>USGS National Water Census, USGS Water Availability and Use Science Program</datacred>\n <crossref>\n <citeinfo>\n <origin>Elliott, C.M., Jacobson, R.B., and Freeman, M.C.</origin>\n <pubdate>2014</pubdate>\n <title>Stream classification of the Apalachicola-Chattahoochee-Flint River System to support modeling of aquatic habitat response to climate change</title>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.3133/sir20145080</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Elliott, C.M., Jacobson, R.B., and Freeman, M.C.</origin>\n <pubdate>2014</pubdate>\n <title>Stream classification of the Apalachicola-Chattahoochee-Flint River System to support modeling of aquatic habitat response to climate change</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>U.S. Geological Survey Publications Warehouse</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.3133/sir20145080</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20140101</begdate>\n <enddate>20140102</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>ACFB streams</srccitea>\n <srccontr>Used for deriving PRMS model parameters.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>LaFontaine, J.H., Jones, L.E., and Painter, J.A.</origin>\n <pubdate>2017</pubdate>\n <title>Simulations of hydrologic response in the Apalachicola-Chattahoochee-Flint River Basin, southeastern United States</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>U.S. Geological Survey Publications Warehouse</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://pubs.er.usgs.gov/publication/sir20135162</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20170101</begdate>\n <enddate>20170102</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>ACFB PRMS parameters</srccitea>\n <srccontr>Provides parameters for PRMS example model</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>USGS</origin>\n <pubdate>2017</pubdate>\n <title>Precipitation-Runoff Modeling System (PRMS)</title>\n <geoform>Other</geoform>\n <pubinfo>\n <pubplace>https://pubs.er.usgs.gov/publication/tm6B7</pubplace>\n <publish>USGS Modeling of Watershed Systems</publish>\n </pubinfo>\n <onlink>http://wwwbrr.cr.usgs.gov/projects/SW_MoWS/PRMS.html</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Computer Program</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20170101</begdate>\n <enddate>20170102</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>PRMS version 5</srccitea>\n <srccontr>Used to calculate hydrologic response to landscape, precipitation and temperature</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>USGS GeoData Portal Team</origin>\n <pubdate>20130101</pubdate>\n <title>USGS Geo Data Portal</title>\n <geoform>Other</geoform>\n <pubinfo>\n <pubplace>Online</pubplace>\n <publish>USGS GeoData Portal Team</publish>\n </pubinfo>\n <onlink>http://cida.usgs.gov/gdp</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Computer Program</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20130101</begdate>\n <enddate>20130102</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>GDP</srccitea>\n <srccontr>Provided processing services to transform Maurer data set to PRMS modeling domain.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Viger, R.J., and Bock, A.</origin>\n <pubdate>2014</pubdate>\n <title>GIS Features of the Geospatial Fabric for National Hydrologic Modeling</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>U.S. Geological Survey Publications Warehouse</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/doi:10.5066/F7542KMD</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Vector-based Digital Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20140101</begdate>\n <enddate>20140102</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>USGS NHM GF</srccitea>\n <srccontr>Used for deriving PRMS model parameters.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>PRMS model parameters were developed for seven applications, calibrated to streamflow, potential evapotranspiration, and solar radiation data. Streamflow was simulated for various periods during 1942-2012.</procdesc>\n <procdate>20170624</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Model input and output data are referenced to watershed name.</indspref>\n <direct>Vector</direct>\n </spdoinfo>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>ACFB_hrus.zip</enttypl>\n <enttypd>Zip folder containing GIS files for hydrologic response units for the Precipitation-Runoff Modeling System application in the Apalachicola-Chattahoochee-Flint River basin.</enttypd>\n <enttypds>Jacob LaFontaine</enttypds>\n </enttyp>\n <attr>\n <attrlabl>ACFB_hrus.shp</attrlabl>\n <attrdef>GIS files and metadata that provide a vector-based shapefile of hydrologic response units.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>*.cpg, *.dbf, *.prj, *.sbn, *.sbx, *.shp, *.shx GIS files that provide a vector-based shapefile of hydrologic response units. Additional spatial reference metadata file 'Metadata_ACFB.xml'.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Chestatee_River_hrus.zip</enttypl>\n <enttypd>Zip folder containing GIS files for stream segments for the Precipitation-Runoff Modeling System application in the Chestatee River basin.</enttypd>\n <enttypds>Jacob LaFontaine</enttypds>\n </enttyp>\n <attr>\n <attrlabl>chefr_hrus.shp</attrlabl>\n <attrdef>GIS files and metadata that provide a vector-based shapefile of hydrologic response units.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>*.dbf, *.prj, *.sbn, *.sbx, *.shp, *.shx GIS files that provide a vector-based shapefile of hydrologic response units; Metadata_Chestatee_River.xml metadata file.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Chipola_River_hrus.zip</enttypl>\n <enttypd>Zip folder containing GIS files for hydrologic response units for the Precipitation-Runoff Modeling System application in the Chipola River basin.</enttypd>\n <enttypds>Jacob LaFontaine</enttypds>\n </enttyp>\n <attr>\n <attrlabl>chipola_hrus.shp</attrlabl>\n <attrdef>GIS files and metadata that provide a vector-based shapefile of hydrologic response units.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>*.dbf, *.prj, *.sbn, *.sbx, *.shp, *.shx GIS files that provide a vector-based shapefile of hydrologic response units; Metadata_Chipola_River.xml metadata file.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Ichawaynochaway_Creek_hrus.zip</enttypl>\n <enttypd>Zip folder containing GIS files for hydrologic response units for the Precipitation-Runoff Modeling System application in the Ichawaynochaway Creek basin.</enttypd>\n <enttypds>Jacob LaFontaine</enttypds>\n </enttyp>\n <attr>\n <attrlabl>ichfr_hrus.shp</attrlabl>\n <attrdef>GIS files and metadata that provide a vector-based shapefile of hydrologic response units.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>*.dbf, *.prj, *.sbn, *.sbx, *.shp, *.shx GIS files that provide a vector-based shapefile of hydrologic response units; Metadata_Ichawaynochaway_Creek.xml metadata file.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Potato_Creek_hrus.zip</enttypl>\n <enttypd>Zip folder containing GIS files for hydrologic response units for the Precipitation-Runoff Modeling System application in the Potato Creek basin.</enttypd>\n <enttypds>Jacob LaFontaine</enttypds>\n </enttyp>\n <attr>\n <attrlabl>potfr_hrus.shp</attrlabl>\n <attrdef>GIS files and metadata that provide a vector-based shapefile of hydrologic response units.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>*.dbf, *.prj, *.sbn, *.sbx, *.shp, *.shx GIS files that provide a vector-based shapefile of hydrologic response units; Metadata_Potato_Creek.xml metadata file.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Spring_Creek_hrus.zip</enttypl>\n <enttypd>Zip folder containing GIS files for hydrologic response units for the Precipitation-Runoff Modeling System application in the Spring Creek basin.</enttypd>\n <enttypds>Jacob LaFontaine</enttypds>\n </enttyp>\n <attr>\n <attrlabl>spring_hrus.shp</attrlabl>\n <attrdef>GIS files and metadata that provide a vector-based shapefile of hydrologic response units.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>*.dbf, *.prj, *.sbn, *.sbx, *.shp, *.shx GIS files that provide a vector-based shapefile of hydrologic response units; Metadata_Spring_Creek.xml metadata file.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Upper_Chattahoochee_River_hrus.zip</enttypl>\n <enttypd>Zip folder containing GIS files for hydrologic response units for the Precipitation-Runoff Modeling System application in the Upper Chattahoochee River basin.</enttypd>\n <enttypds>Jacob LaFontaine</enttypds>\n </enttyp>\n <attr>\n <attrlabl>chafr_hrus.shp</attrlabl>\n <attrdef>GIS files and metadata that provide a vector-based shapefile of hydrologic response units.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>*.dbf, *.prj, *.sbn, *.sbx, *.shp, *.shx GIS files that provide a vector-based shapefile of hydrologic response units; Metadata_Upper_Chattahoochee_River.xml metadata file.</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey - ScienceBase</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Bldg 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. \n\nThe USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from its authorized or unauthorized use. \n\nAlthough these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>shp, zip, xml</formname>\n <formvern>ArcGIS 10.4</formvern>\n <formspec>ESRI vector shapefile</formspec>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7FJ2F1R</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Jacob H. LaFontaine</cntper>\n <cntorg>South Atlantic Water Science Center</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1770 Corporate Drive, Suite 500</address>\n <city>Norcross</city>\n <state>GA</state>\n <postal>30093</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>678-924-6664</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Magnetotelluric sounding data, stations 26 to 36, north of Wells, Nevada, 2005](/catalog/item/59ba6d0ce4b091459a563b34)
4. [MT station 34](/catalog/folder/59c43398e4b091459a6354be)
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## Dates
Publication Date2018-02-13Start Date2005-07-12End Date2005-07-12
## Citation
Rodriguez, B.D., 2018, Magnetotelluric sounding data, stations 26 to 36, north of Wells, Nevada, 2005: U.S. Geological Survey data release, https://doi.org/10.5066/F7GH9GW0.
## Summary
This dataset includes the magnetotelluric (MT) sounding data collected in 2005 along an east-west profile north of Wells, Nevada. It is important to know whether major mining districts in the Northern Nevada Gold Province are underlain by rocks of the Archean Wyoming craton, which are known to contain orogenic gold deposits, or by accreted rocks of the Paleoproterozoic Mojave province. It is also important to know the location and orientation of the Archean/Proterozoic suture zone between these provinces as well as major basement structures within these terranes because they may influence subsequent patterns of sedimentation, deformation, magmatism, and hydrothermal activity. This study was funded by the U.S. Geological Survey's Mineral \[...\]
## Summary
This dataset includes the magnetotelluric (MT) sounding data collected in 2005 along an east-west profile north of Wells, Nevada. It is important to know whether major mining districts in the Northern Nevada Gold Province are underlain by rocks of the Archean Wyoming craton, which are known to contain orogenic gold deposits, or by accreted rocks of the Paleoproterozoic Mojave province. It is also important to know the location and orientation of the Archean/Proterozoic suture zone between these provinces as well as major basement structures within these terranes because they may influence subsequent patterns of sedimentation, deformation, magmatism, and hydrothermal activity. This study was funded by the U.S. Geological Survey's Mineral Resources Program in cooperation with the U.S. Bureau of Land Management.
## Contacts
Point of Contact
:
[USGS - Crustal Geophysics and Geochemistry Science Center](/catalog/catalogParty/show?partyId=USGS+-+Crustal+Geophysics+and+Geochemistry+Science+Center)
Originator
:
[Brian D Rodriguez](/catalog/catalogParty/show?partyId=8727)
Metadata Contact
:
[Philip J Brown II](/catalog/catalogParty/show?partyId=1233)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
## Attached Files - sorting - [Metadata First](/catalog/item/get/59c43398e4b091459a6354be?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/59c43398e4b091459a6354be?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/59c43398e4b091459a6354be?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| USA-Nevada-Wells-2005-MT34.xml<br>_Original FGDC Metadata_ | View | 50.1 KB | application/fgdc+xml |
| AP34M1.TS1 | | 41.15 KB | application/unknown |
| AP34M1.TS2 | | 6.03 KB | application/unknown |
| AP34M1.TS3 | | 1.02 KB | text/plain |
| AP34M2.TS1 | | 41.15 KB | application/unknown |
| AP34M2.TS2 | | 6.03 KB | application/unknown |
| AP34M2.TS3 | | 6.03 KB | application/unknown |
| AP34M3.TS2 | | 6.03 KB | application/unknown |
| AP34M3.TS3 | | 6.03 KB | application/unknown |
| AP34M4.TS2 | | 6.03 KB | application/unknown |
| AP34M4.TS3 | | 6.03 KB | application/unknown |
| AP34M5.TS3 | | 6.03 KB | application/unknown |
| BF4-9705.RSP | | 1.07 KB | text/plain |
| BF4-9710.RSP | | 1.07 KB | text/plain |
| BF7-9609.RSP | | 1.06 KB | text/plain |
| EF-9608X.RSP | | 5.74 KB | text/plain |
| EF-9608Y.RSP | | 5.74 KB | text/plain |
| USA-Nevada-Wells-2005-MT34.edi | | 55.3 KB | text/plain |
| USA-Nevada-Wells-2005-MT34-TS\_High\_01.txt | | 19.83 KB | text/plain |
| USA-Nevada-Wells-2005-MT34-TS\_High\_02.txt | | 19.83 KB | text/plain |
| USA-Nevada-Wells-2005-MT34-TS\_Low\_01.txt | | 19.83 KB | text/plain |
| USA-Nevada-Wells-2005-MT34-TS\_Low\_02.txt | | 19.83 KB | text/plain |
| USA-Nevada-Wells-2005-MT34-TS\_Low\_03.txt | | 19.83 KB | text/plain |
| USA-Nevada-Wells-2005-MT34-TS\_Low\_04.txt | | 19.83 KB | text/plain |
| USA-Nevada-Wells-2005-MT34-TS\_Low\_05.txt | | 19.83 KB | text/plain |
| USA-Nevada-Wells-2005-MT34-TS\_Mid\_01.txt | | 19.83 KB | text/plain |
| USA-Nevada-Wells-2005-MT34-TS\_Mid\_02.txt | | 19.83 KB | text/plain |
| USA-Nevada-Wells-2005-MT34-TS\_Mid\_03.txt | | 19.83 KB | text/plain |
| USA-Nevada-Wells-2005-MT34-TS\_Mid\_04.txt | | 19.83 KB | text/plain |
| mt34.jpg |  | 311.56 KB | image/jpeg |
| readme.txt | | 179 Bytes | text/plain |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Related Primary Publication | [https://pubs.usgs.gov/of/2006/1119/](https://pubs.usgs.gov/of/2006/1119/ "https://pubs.usgs.gov/of/2006/1119/") |
Type: PDF Download
| | |
| --- | --- |
| MT / EMAP Data Interchange Standard Electrical Data Interchange (EDI) Standard. | [http://www.seg.org/documents/10161/77915/seg\_mt\_emap\_1987.pdf](http://www.seg.org/documents/10161/77915/seg_mt_emap_1987.pdf "http://www.seg.org/documents/10161/77915/seg_mt_emap_1987.pdf") |
## Purpose
The purpose of this data release is to provide MT station locations and data to the public. In the Great Basin, the strike of the Archean/Proterozoic suture zone is poorly constrained because it is largely concealed below a Neoproterozoic-Paleozoic miogeocline and basin fill. To better constrain the location and strike of the Archean/Proterozoic suture zone below cover, an east-west MT sounding profile was acquired in northeastern Nevada to investigate buried structures or sutures that may have influenced subsequent regional fluid flow and localized mineralization.
## Preview Image
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Brian D. Rodriguez</origin>\n <pubdate>20180213</pubdate>\n <title>Magnetotelluric sounding data, station 34, north of Wells, Nevada, 2005</title>\n <edition>1</edition>\n <geoform>ASCII and Binary Digital Data</geoform>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7GH9GW0</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Jackie M. Williams</origin>\n <origin>Brian D. Rodriguez</origin>\n <pubdate>2006</pubdate>\n <title>Magnetotelluric Survey to Locate the Archean/Proterozoic Suture Zone North of Wells, Nevada</title>\n <geoform>PDF</geoform>\n <serinfo>\n <sername>Open\xc3\xa2\xe2\x82\xac\xe2\x80\x9cFile Report</sername>\n <issue>2006-1119</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>US Geologial Survey</publish>\n </pubinfo>\n <onlink>https://pubs.usgs.gov/of/2006/1119/</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This dataset includes the magnetotelluric (MT) sounding data collected in 2005 along an east-west profile north of Wells, Nevada. It is important to know whether major mining districts in the Northern Nevada Gold Province are underlain by rocks of the Archean Wyoming craton, which are known to contain orogenic gold deposits, or by accreted rocks of the Paleoproterozoic Mojave province. It is also important to know the location and orientation of the Archean/Proterozoic suture zone between these provinces as well as major basement structures within these terranes because they may influence subsequent patterns of sedimentation, deformation, magmatism, and hydrothermal activity. This study was funded by the U.S. Geological Survey's Mineral Resources Program in cooperation with the U.S. Bureau of Land Management.</abstract>\n <purpose>The purpose of this data release is to provide MT station locations and data to the public. In the Great Basin, the strike of the Archean/Proterozoic suture zone is poorly constrained because it is largely concealed below a Neoproterozoic-Paleozoic miogeocline and basin fill. To better constrain the location and strike of the Archean/Proterozoic suture zone below cover, an east-west MT sounding profile was acquired in northeastern Nevada to investigate buried structures or sutures that may have influenced subsequent regional fluid flow and localized mineralization.</purpose>\n <supplinf>This data product contains magnetotelluric (MT) transfer functions (TFs), which define the frequency dependent linear relations between components of electromagnetic (EM) field variations measured at a single site. Two sorts of TF are provided for most sites. All of the TFs provide input data for subsequent MT inversion and interpretation. They are estimated from the raw EM time series by (a) Fourier transforming data in a series of short overlapping time windows, and (b) applying robust regression methods to the resulting sequence of Fourier coefficients. For remote reference estimates data from a second site are used for noise cancellation, and to reduce bias due to noise in the predicting magnetic channels. Apparent resistivities and phases, which can be computed from the off-diagonal components of the impedance tensors, are frequently used in 2D interpretations. The EMTF data product includes estimates of the TFs for a range of periods (which may vary, depending on instrumentation and deployment time), as well as estimation error covariances.\nFor more information on the EDI data format:\nWight, D.E., 1988, MT/EMAP Data Interchange Standard, Technical standards committee report, Society of Exploration Geophysicists, isbn=9780931830617, http://www.seg.org/documents/10161/77915/seg_mt_emap_1987.pdf.\nThis report can be downloaded for free from the Society of Exploration Geophysics (SEG) Technical Standards website, http://seg.org/Publications/SEG-Technical-Standards.\nThese metadata document the full suite of MT data for this site and includes the files below. Their contents are described in the entity and attribute section of the metadata\nBF4-9705.RSP\nBF4-9710.RSP\nBF7-9609.RSP\nEF-9608X.RSP\nEF-9608Y.RSP\nAP34M1.TS1\nAP34M1.TS2\nAP34M1.TS3\nAP34M2.TS1\nAP34M2.TS2\nAP34M2.TS3\nAP34M3.TS2\nAP34M3.TS3\nAP34M4.TS2\nAP34M4.TS3\nAP34M5.TS3\nUSA-Nevada-Wells-2005-MT34-TS_High_01.txt\nUSA-Nevada-Wells-2005-MT34-TS_High_02.txt\nUSA-Nevada-Wells-2005-MT34-TS_Low_01.txt\nUSA-Nevada-Wells-2005-MT34-TS_Low_02.txt\nUSA-Nevada-Wells-2005-MT34-TS_Low_03.txt\nUSA-Nevada-Wells-2005-MT34-TS_Low_04.txt\nUSA-Nevada-Wells-2005-MT34-TS_Low_05.txt\nUSA-Nevada-Wells-2005-MT34-TS_Mid_01.txt\nUSA-Nevada-Wells-2005-MT34-TS_Mid_02.txt\nUSA-Nevada-Wells-2005-MT34-TS_Mid_03.txt\nUSA-Nevada-Wells-2005-MT34-TS_Mid_04.txt\nUSA-Nevada-Wells-2005-MT34.edi</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20050712</begdate>\n <enddate>20050712</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-115.492696</westbc>\n <eastbc>-115.492696</eastbc>\n <northbc>41.318348333</northbc>\n <southbc>41.318348333</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>geoscientificinformation</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>impedance</themekey>\n <themekey>tipper</themekey>\n <themekey>apparent resistivity</themekey>\n <themekey>impedance phase</themekey>\n <themekey>impedance strike</themekey>\n <themekey>MT</themekey>\n <themekey>magnetotelluric</themekey>\n <themekey>sounding</themekey>\n <themekey>Crustal Geophysics and Geochemistry Science Center</themekey>\n <themekey>CGGSC</themekey>\n <themekey>Mineral Resources Program</themekey>\n <themekey>MRP</themekey>\n <themekey>aquifer</themekey>\n <themekey>suture zone</themekey>\n <themekey>Northern Nevada Gold Province</themekey>\n <themekey>Gold Mining</themekey>\n <themekey>Gold Deposits</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>Magnetic field (earth)</themekey>\n <themekey>Geophysics</themekey>\n <themekey>GPS measurement</themekey>\n <themekey>Electromagnetic surveying</themekey>\n <themekey>Magnetic surveying</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:59c43398e4b091459a6354be</themekey>\n </theme>\n <place>\n <placekt>USGS Geographic Names Information System (GNIS)</placekt>\n <placekey>Nevada</placekey>\n <placekey>Wells</placekey>\n <placekey>Wilkins</placekey>\n <placekey>Oasis</placekey>\n <placekey>Montello</placekey>\n <placekey>Elko County</placekey>\n </place>\n <temporal>\n <tempkt>None</tempkt>\n <tempkey>Archean</tempkey>\n <tempkey>Paleoproterozoic</tempkey>\n <tempkey>Neoproterozoic</tempkey>\n <tempkey>Paleozoic</tempkey>\n <tempkey>Proterozoic</tempkey>\n </temporal>\n </keywords>\n <accconst>Please see 'Distribution Info' for details.</accconst>\n <useconst>There is no guarantee concerning the accuracy of the data. Any user who modifies the data is obligated to describe the types of modifications they perform. Data have been checked to ensure the accuracy. If any errors are detected, please notify the originating office. The U.S. Geological Survey strongly recommends that careful attention be paid to the metadata file associated with these data. Acknowledgment of the U.S. Geological Survey would be appreciated in products derived from these data. User specifically agrees not to misrepresent the data, nor to imply that changes made were approved or endorsed by the U.S. Geological Survey. Please refer to https://www2.usgs.gov/laws/privacy.html for the USGS disclaimer.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>USGS - Crustal Geophysics and Geochemistry Science Center</cntorg>\n <cntper>Brian D. Rodriguez</cntper>\n </cntorgp>\n <cntpos>Research Geophysicist</cntpos>\n <cntaddr>\n <addrtype>Physical</addrtype>\n <address>Mail Stop 964, West 6th Ave. and Kipling St., DFC Bldg. 20</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225-0046</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>303-236-1361</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Data collected by Jackie M. Williams and Brian D. Rodriguez of the Crustal Geophysics and Geochemistry Science Center. This project was funded by US Geological Survey (USGS) Minerals Resources Program (MRP), USGS National Cooperative Geologic Mapping Program in cooperation with the US Bureau of Land Management (BLM).</datacred>\n <native>MS-DOS version 6.22</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>MS-DOS version 6.22</attraccr>\n </attracc>\n <logic>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>Spatial locations were determined from hand-held global positioning system (GPS) devices. In general, the GPS units used by field scientists recorded sample locations to within 100 feet (30 meters) of the true location. The locations were verified using a geographic information system (GIS) and digital topographic maps.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>Elevations were determined from USGS, The National Map, Bulk Point Query Service based on the USGS 3DEP (3D elevation program) 1/3 arc-second layer (10-meter). Vertical accuracy was not assessed for this specific dataset. The overall absolute vertical accuracy of the seamless DEMs within the conterminous United States (2013), expressed as the root mean square error (RMSE) of 25,310 reference points, was 1.55 meters (USGS, 2014 - http://dx.doi.org/10.3133/ofr20141008). The vertical accuracy varies across the U.S. as a result of differences in source DEM quality, terrain relief, land cover, and other factors.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Acquire multiple high frequency time series files (TS1 file extension) and convert to intermediate spectra cross power files (BP1 file extension)</procdesc>\n <procdate>20050712</procdate>\n </procstep>\n <procstep>\n <procdesc>Acquire multiple mid frequency time series files (TS2 file extension) and convert to intermediate spectra cross power files (BP2 file extension)</procdesc>\n <procdate>20050712</procdate>\n </procstep>\n <procstep>\n <procdesc>Acquire multiple low frequency time series files (TS3 file extension) and convert to intermediate spectra cross power files (BP3 file extension)</procdesc>\n <procdate>20050712</procdate>\n </procstep>\n <procstep>\n <procdesc>Combine multiple frequency band (high, mid, low) BP cross power files into a single cross power file (AVG file extension)</procdesc>\n <procdate>20050712</procdate>\n </procstep>\n <procstep>\n <procdesc>Convert cross power AVG file to spectra edi file</procdesc>\n <procdate>20170912</procdate>\n </procstep>\n <procstep>\n <procdesc>Rotate data to geographic north and convert spectra edi file to GeotoolsMT Transfer Function dump file</procdesc>\n <procdate>20170912</procdate>\n </procstep>\n <procstep>\n <procdesc>Mine AVG, spectra edi, and dump file to create Transfer Function edi file</procdesc>\n <procdate>20170919</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>Entity point</sdtstype>\n <ptvctcnt>1</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.0196481178</latres>\n <longres>0.0409100603</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>NAD27 CONUS</horizdn>\n <ellips>Clarke 1866</ellips>\n <semiaxis>6378206.4</semiaxis>\n <denflat>294.9786982</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Text File BF4-9710.RSP</enttypl>\n <enttypd>System Calibration File</enttypd>\n <enttypds>Electromagnetic Instruments (EMI)</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Freq</attrlabl>\n <attrdef>Frequency - Hz</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Frequency - Hz</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Amp</attrlabl>\n <attrdef>Amplitude - Volts/Gamma</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Amplitude - Volts/Gamma</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Phz</attrlabl>\n <attrdef>Phase - Degrees</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Phase - Degrees</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File BF4-9705.RSP</enttypl>\n <enttypd>System Calibration File</enttypd>\n <enttypds>Electromagnetic Instruments (EMI)</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Freq</attrlabl>\n <attrdef>Frequency - Hz</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Frequency - Hz</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Amp</attrlabl>\n <attrdef>Amplitude - Volts/Gamma</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Amplitude - Volts/Gamma</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Phz</attrlabl>\n <attrdef>Phase - Degrees</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Phase - Degrees</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File BF7-9609.RSP</enttypl>\n <enttypd>System Calibration File</enttypd>\n <enttypds>Electromagnetic Instruments (EMI)</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Freq</attrlabl>\n <attrdef>Frequency - Hz</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Frequency - Hz</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Amp</attrlabl>\n <attrdef>Amplitude - Volts/Gamma</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Amplitude - Volts/Gamma</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Phz</attrlabl>\n <attrdef>Phase - Degrees</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Phase - Degrees</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File EF-9608X.RSP</enttypl>\n <enttypd>System Calibration File listing 4 columns of amplitude and phase for each of the 4 possible instrument gains (10dB, 20dB, 30dB, 40dB)</enttypd>\n <enttypds>Electromagnetic Instruments (EMI)</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Freq</attrlabl>\n <attrdef>Frequency - Hz</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Frequency - Hz</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Amp</attrlabl>\n <attrdef>Amplitude - unitless. Amplitude is unique for each gain (10dB, 20dB, 30dB, 40dB).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Amplitude - unitless</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Phz</attrlabl>\n <attrdef>Phase - Degrees. Phase is unique for each sgain (10dB, 20dB, 30dB, 40dB).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Phase - Degrees</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File EF-9608Y.RSP</enttypl>\n <enttypd>System Calibration File listing 4 columns of amplitude and phase for each of the 4 possible instrument gains (10dB, 20dB, 30dB, 40dB).</enttypd>\n <enttypds>Electromagnetic Instruments (EMI)</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Freq</attrlabl>\n <attrdef>Frequency - Hz</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Frequency - Hz</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Amp</attrlabl>\n <attrdef>Amplitude - unitless. Amplitude is unique for each gain (10dB, 20dB, 30dB, 40dB).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Amplitude - unitless</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Phz</attrlabl>\n <attrdef>Phase - Degrees. Phase is unique for each sgain (10dB, 20dB, 30dB, 40dB).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Phase - Degrees</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File USA-Nevada-Wells-2005-MT34.edi</enttypl>\n <enttypd>Transfer Function EDI File</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>FREQ</attrlabl>\n <attrdef>Data block containing a set of frequencies in hertz (Hz.) It defines the frequency set for succeeding data within that data section which are functions of frequency.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Data block containing a set of frequencies in hertz (Hz.) It defines the frequency set for succeeding data within that data section which are functions of frequency.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZROT</attrlabl>\n <attrdef>Data block containing a set of rotation angles in degrees used for impedances.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Data block containing a set of rotation angles in degrees used for impedances.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZXXR</attrlabl>\n <attrdef>Real component of impedance Zxx in ohm-m (Ex / Hx)</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Real component of impedance Zxx in ohm-m (Ex / Hx)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZXXI</attrlabl>\n <attrdef>Imaginary component of impedance Zxx in ohm-m (Ex / Hx)</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Imaginary component of impedance Zxx in ohm-m (Ex / Hx)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZXX.VAR</attrlabl>\n <attrdef>Variance of real and imaginary impedance of Zxx in ohm-m</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Variance of real and imaginary impedance of Zxx in ohm-m</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZXYR</attrlabl>\n <attrdef>Real component of impedance Zxy in ohm-m (Ex / Hy )</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Real component of impedance Zxy in ohm-m (Ex / Hy )</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZXYI</attrlabl>\n <attrdef>Imaginary component of impedance Zxy in ohm-m (Ex / Hy )</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Imaginary component of impedance Zxy in ohm-m (Ex / Hy )</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZXY.VAR</attrlabl>\n <attrdef>Variance of real and imaginary impedance of Zxy in ohm-m</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Variance of real and imaginary impedance of Zxy in ohm-m</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZYXR</attrlabl>\n <attrdef>Real component of impedance Zyx in ohm-m (Ey / Hx )</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Real component of impedance Zyx in ohm-m (Ey / Hx )</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZYXI</attrlabl>\n <attrdef>Imaginary component of impedance Zyx in ohm-m (Ey / Hx )</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Imaginary component of impedance Zyx in ohm-m (Ey / Hx )</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZYX.VAR</attrlabl>\n <attrdef>Variance of real and imaginary impedance of Zyx in ohm-m</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Variance of real and imaginary impedance of Zyx in ohm-m</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZYYR</attrlabl>\n <attrdef>Real component of impedance Zyy in ohm-m ( Ey / Hy )</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Real component of impedance Zyy in ohm-m ( Ey / Hy )</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZYYI</attrlabl>\n <attrdef>Imaginary component of impedance Zyy in ohm-m (Ey / Hy )</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Imaginary component of impedance Zyy in ohm-m (Ey / Hy )</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZYY.VAR</attrlabl>\n <attrdef>Variance of real and imaginary impedance of Zyy in ohm-m</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Variance of real and imaginary impedance of Zyy in ohm-m</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TXR.EXP</attrlabl>\n <attrdef>Real part of complex tipper component Tx.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Real part of complex tipper component Tx.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TXI.EXP</attrlabl>\n <attrdef>Imaginary part of complex tipper component Tx.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Imaginary part of complex tipper component Tx.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TXVAR.EXP</attrlabl>\n <attrdef>Variance of complex tipper component Tx.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Variance of complex tipper component Tx.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TYR.EXP</attrlabl>\n <attrdef>Real part of complex tipper component Ty.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Real part of complex tipper component Ty.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TYI.EXP</attrlabl>\n <attrdef>Imaginary part of complex tipper component Ty.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Imaginary part of complex tipper component Ty.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TYVAR.EXP</attrlabl>\n <attrdef>Variance of complex tipper component Ty.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Variance of complex tipper component Ty.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RHOROT</attrlabl>\n <attrdef>Data block containing a set of rotation angles in degrees used for apparent resistivities.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Data block containing a set of rotation angles in degrees used for apparent resistivities.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RHOXX</attrlabl>\n <attrdef>Magnitude of apparent resistivity (ohm-m) computed from Zxx</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Magnitude of apparent resistivity (ohm-m) computed from Zxx</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PHSXX</attrlabl>\n <attrdef>Phase angle of apparent resistivity (deg) computed from Zxx</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Phase angle of apparent resistivity (deg) computed from Zxx</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RHOXX.ERR</attrlabl>\n <attrdef>Log10 error bar (in decades) associated with Rhoxx</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Log10 error bar (in decades) associated with Rhoxx</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PHSXX.ERR</attrlabl>\n <attrdef>Error bar (in degrees) associated with Phsxx</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Error bar (in degrees) associated with Phsxx</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RHOXY</attrlabl>\n <attrdef>Magnitude of apparent resistivity (ohm-m) computed from Zxy</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Magnitude of apparent resistivity (ohm-m) computed from Zxy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PHSXY</attrlabl>\n <attrdef>Phase angle of apparent resistivity (deg) computed from Zxy</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Phase angle of apparent resistivity (deg) computed from Zxy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RHOXY.ERR</attrlabl>\n <attrdef>Log10 error bar (in decades) associated with Rhoxy</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Log10 error bar (in decades) associated with Rhoxy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PHSXY.ERR</attrlabl>\n <attrdef>Error bar (in degrees) associated with Phsxy</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Error bar (in degrees) associated with Phsxy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RHOYX</attrlabl>\n <attrdef>Magnitude of apparent resistivity (ohm-m) computed from Zyx</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Magnitude of apparent resistivity (ohm-m) computed from Zyx</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PHSYX</attrlabl>\n <attrdef>Phase angle of apparent resistivity (deg) computed from Zyx</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Phase angle of apparent resistivity (deg) computed from Zyx</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RHOYX.ERR</attrlabl>\n <attrdef>Log10 error bar (in decades) associated with Rhoyx</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Log10 error bar (in decades) associated with Rhoyx</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PHSYX.ERR</attrlabl>\n <attrdef>Error bar (in degrees) associated with Phsyx</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Error bar (in degrees) associated with Phsyx</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RHOYY</attrlabl>\n <attrdef>Magnitude of apparent resistivity (ohm-m) computed from Zyy</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Magnitude of apparent resistivity (ohm-m) computed from Zyy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PHSYY</attrlabl>\n <attrdef>Phase angle of apparent resistivity (deg) computed from Zyy</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Phase angle of apparent resistivity (deg) computed from Zyy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RHOYY.ERR</attrlabl>\n <attrdef>Log10 error bar (in decades) associated with Rhoyy</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Log10 error bar (in decades) associated with Rhoyy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PHSYY.ERR</attrlabl>\n <attrdef>Error bar (in degrees) associated with Phsyy</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Error bar (in degrees) associated with Phsyy</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TIPMAG</attrlabl>\n <attrdef>Magnitude of total tipper</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Magnitude of total tipper</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TIPPHS</attrlabl>\n <attrdef>Phase angle (deg) of total tipper</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Phase angle (deg) of total tipper</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TIPMAG.ERR</attrlabl>\n <attrdef>Error bar associated with TIPMAG</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Error bar associated with TIPMAG</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TIPPHS.ERR</attrlabl>\n <attrdef>Error bar (in degrees) associated with TIPPHS</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Error bar (in degrees) associated with TIPPHS</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZSTRIKE</attrlabl>\n <attrdef>Impedance strike angle (deg) computed from the impedance tensor Z</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Impedance strike angle (deg) computed from the impedance tensor Z</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ZSKEW</attrlabl>\n <attrdef>Impedance skew computed from the impedance tensor Z</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Impedance skew computed from the impedance tensor Z</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TSTRIKE</attrlabl>\n <attrdef>Tipper strike angle (deg) computed from the tipper tensor T</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Tipper strike angle (deg) computed from the tipper tensor T</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>COH</attrlabl>\n <attrdef>Ordinary coherency between any two measurements as a function of freq.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Ordinary coherency between any two measurements as a function of freq.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EPREDCOH</attrlabl>\n <attrdef>Multiple coherency relationship between an E measurement, and a predicted E measurement derived from two H measurements and a tensor impedance Z.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Multiple coherency relationship between an E measurement, and a predicted E measurement derived from two H measurements and a tensor impedance Z.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SIGAMP</attrlabl>\n <attrdef>Signal amplitude (or power) spectra for a measurement as a function of frequency.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Signal amplitude (or power) spectra for a measurement as a function of frequency.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SIGNOISE</attrlabl>\n <attrdef>Signal-to-noise ratio for a measurement as a function of frequency.</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Signal-to-noise ratio for a measurement as a function of frequency.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Binary File AP34M1.TS1</enttypl>\n <enttypd>Raw Time Series Binary Data File. The header information for this file contains field notes including survey identifier, personnel, date/time, weather, indication of a remote MT site, additional comments and sensor configuration for the electric and magnetic field channels.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Data Value</attrlabl>\n <attrdef>Binary Data Value</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Binary Data Value</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Binary File AP34M1.TS2</enttypl>\n <enttypd>Raw Time Series Binary Data File. The header information for this file contains field notes including survey identifier, personnel, date/time, weather, indication of a remote MT site, additional comments and sensor configuration for the electric and magnetic field channels.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Data Value</attrlabl>\n <attrdef>Binary Data Value</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Binary Data Value</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Binary File AP34M1.TS3</enttypl>\n <enttypd>Raw Time Series Binary Data File. The header information for this file contains field notes including survey identifier, personnel, date/time, weather, indication of a remote MT site, additional comments and sensor configuration for the electric and magnetic field channels.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Data Value</attrlabl>\n <attrdef>Binary Data Value</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Binary Data Value</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Binary File AP34M2.TS1</enttypl>\n <enttypd>Raw Time Series Binary Data File. The header information for this file contains field notes including survey identifier, personnel, date/time, weather, indication of a remote MT site, additional comments and sensor configuration for the electric and magnetic field channels.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Data Value</attrlabl>\n <attrdef>Binary Data Value</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Binary Data Value</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Binary File AP34M2.TS2</enttypl>\n <enttypd>Raw Time Series Binary Data File. The header information for this file contains field notes including survey identifier, personnel, date/time, weather, indication of a remote MT site, additional comments and sensor configuration for the electric and magnetic field channels.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Data Value</attrlabl>\n <attrdef>Binary Data Value</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Binary Data Value</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Binary File AP34M2.TS3</enttypl>\n <enttypd>Raw Time Series Binary Data File. The header information for this file contains field notes including survey identifier, personnel, date/time, weather, indication of a remote MT site, additional comments and sensor configuration for the electric and magnetic field channels.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Data Value</attrlabl>\n <attrdef>Binary Data Value</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Binary Data Value</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Binary File AP34M3.TS2</enttypl>\n <enttypd>Raw Time Series Binary Data File. The header information for this file contains field notes including survey identifier, personnel, date/time, weather, indication of a remote MT site, additional comments and sensor configuration for the electric and magnetic field channels.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Data Value</attrlabl>\n <attrdef>Binary Data Value</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Binary Data Value</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Binary File AP34M3.TS3</enttypl>\n <enttypd>Raw Time Series Binary Data File. The header information for this file contains field notes including survey identifier, personnel, date/time, weather, indication of a remote MT site, additional comments and sensor configuration for the electric and magnetic field channels.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Data Value</attrlabl>\n <attrdef>Binary Data Value</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Binary Data Value</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Binary File AP34M4.TS2</enttypl>\n <enttypd>Raw Time Series Binary Data File. The header information for this file contains field notes including survey identifier, personnel, date/time, weather, indication of a remote MT site, additional comments and sensor configuration for the electric and magnetic field channels.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Data Value</attrlabl>\n <attrdef>Binary Data Value</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Binary Data Value</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Binary File AP34M4.TS3</enttypl>\n <enttypd>Raw Time Series Binary Data File. The header information for this file contains field notes including survey identifier, personnel, date/time, weather, indication of a remote MT site, additional comments and sensor configuration for the electric and magnetic field channels.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Data Value</attrlabl>\n <attrdef>Binary Data Value</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Binary Data Value</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Binary File AP34M5.TS3</enttypl>\n <enttypd>Raw Time Series Binary Data File. The header information for this file contains field notes including survey identifier, personnel, date/time, weather, indication of a remote MT site, additional comments and sensor configuration for the electric and magnetic field channels.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Data Value</attrlabl>\n <attrdef>Binary Data Value</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Binary Data Value</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File USA-Nevada-Wells-2005-MT34-TS_High_01.txt</enttypl>\n <enttypd>Header file in ASCII text format for raw binary time series files</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Header Information</attrlabl>\n <attrdef>Header description and settings for time series binary content</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Header description and settings for time series binary content</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File USA-Nevada-Wells-2005-MT34-TS_High_02.txt</enttypl>\n <enttypd>Header file in ASCII text format for raw binary time series files</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Header Information</attrlabl>\n <attrdef>Header description and settings for time series binary content</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Header description and settings for time series binary content</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File USA-Nevada-Wells-2005-MT34-TS_Low_01.txt</enttypl>\n <enttypd>Header file in ASCII text format for raw binary time series files</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Header Information</attrlabl>\n <attrdef>Header description and settings for time series binary content</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Header description and settings for time series binary content</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File USA-Nevada-Wells-2005-MT34-TS_Low_02.txt</enttypl>\n <enttypd>Header file in ASCII text format for raw binary time series files</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Header Information</attrlabl>\n <attrdef>Header description and settings for time series binary content</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Header description and settings for time series binary content</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File USA-Nevada-Wells-2005-MT34-TS_Low_03.txt</enttypl>\n <enttypd>Header file in ASCII text format for raw binary time series files</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n 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binary time series files</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Header Information</attrlabl>\n <attrdef>Header description and settings for time series binary content</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Header description and settings for time series binary content</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File USA-Nevada-Wells-2005-MT34-TS_Mid_01.txt</enttypl>\n <enttypd>Header file in ASCII text format for raw binary time series files</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Header Information</attrlabl>\n <attrdef>Header description and settings for time series binary content</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Header description and settings for time series binary content</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File USA-Nevada-Wells-2005-MT34-TS_Mid_02.txt</enttypl>\n <enttypd>Header file in ASCII text format for raw binary time series files</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Header Information</attrlabl>\n <attrdef>Header description and settings for time series binary content</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Header description and settings for time series binary content</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File USA-Nevada-Wells-2005-MT34-TS_Mid_03.txt</enttypl>\n <enttypd>Header file in ASCII text format for raw binary time series files</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Header Information</attrlabl>\n <attrdef>Header description and settings for time series binary content</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Header description and settings for time series binary content</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Text File USA-Nevada-Wells-2005-MT34-TS_Mid_04.txt</enttypl>\n <enttypd>Header file in ASCII text format for raw binary time series files</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Header Information</attrlabl>\n <attrdef>Header description and settings for time series binary content</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>Header description and settings for time series binary content</udom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>MT/EMAP Data Interchange Standard, Revision 1.0, Dec 1987, David E. Wight. This standard was never published in Geophysics.</eaover>\n <eadetcit>For more information on the EDI data format: Wight, D.E., 1988, MT/EMAP Data Interchange Standard, Technical standards committee report, Society of Exploration Geophysicists, isbn=9780931830617, http://www.seg.org/documents/10161/77915/seg_mt_emap_1987.pdf</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n <cntper>U.S. Geological Survey - ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200929</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Philip Brown</cntper>\n <cntorg>U.S. Geological Survey, Southwest Region</cntorg>\n </cntperp>\n <cntpos>Geophysicist</cntpos>\n <cntaddr>\n <addrtype>Physical</addrtype>\n <address>Mail Stop 964, West 6th Ave. and Kipling St., DFC Bldg. 20</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225-0046</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>303-236-1310</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Idaho Water Science Center](/catalog/item/5abe53e7e4b081f61ac11d6a)
3. [Surface Water](/catalog/item/5acd116de4b0e2c2dd155d90)
4. [Kootenai River Habitat Restoration Project Bathymetric Surveys near Bonners Ferry, ID (ver 4.0, January 2023)](/catalog/item/5cab91d2e4b0c3b00650cdc5)
5. [Kootenai River Braided Reach Cross-Section Surveys near Bonners Ferry, ID, 2009-2022](/catalog/folder/5cacd94fe4b0c3b006529d56)
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## Dates
Start Date2009End Date2022Publication Date2019-12-11Revision2020-11-02Revision2021-12-01Last Revision2023-01-09
## Citation
Fosness, R.L., Dudunake, T.J., Nuckoles, W.P., Grey, E.I., 2019, Kootenai river habitat restoration project bathymetric surveys near Bonners Ferry, ID (ver 4.0, January 2023): U.S. Geological Survey data release, https://doi.org/10.5066/P9OC5QMH.
## Summary
In 2009, the Kootenai Tribe of Idaho released and implemented the Kootenai River Habitat Restoration Master Plan. This plan aimed to restore, enhance, and maintain the Kootenai River habitat and landscape to support and sustain habitat conditions for aquatic species and animal populations. In support of these restoration efforts, the U.S. Geological Survey, in cooperation with the Kootenai Tribe of Idaho, conducted high-resolution multibeam echosounder bathymetric surveys as a baseline bathymetric monitoring survey on the Kootenai River near Bonners Ferry, Idaho. Three channel patterns or reaches exist in the study area: braided, meander, and a transitional zone connecting the braided and meander reaches. Bathymetric data were collected \[...\]
## Summary
In 2009, the Kootenai Tribe of Idaho released and implemented the Kootenai River Habitat Restoration Master Plan. This plan aimed to restore, enhance, and maintain the Kootenai River habitat and landscape to support and sustain habitat conditions for aquatic species and animal populations. In support of these restoration efforts, the U.S. Geological Survey, in cooperation with the Kootenai Tribe of Idaho, conducted high-resolution multibeam echosounder bathymetric surveys as a baseline bathymetric monitoring survey on the Kootenai River near Bonners Ferry, Idaho. Three channel patterns or reaches exist in the study area: braided, meander, and a transitional zone connecting the braided and meander reaches. Bathymetric data were collected to: (1) survey unmapped portions of the Kootenai River; (2) re-survey portions of the Kootenai River to quantify changes in the channel; and (3) monitor aggradation and degradation of the channel bed at specific cross-sections within the braided reach and transitional zone. The bathymetric data will be used to update and verify flow models, calibrate and verify sediment transport modeling efforts, and aid in the biological assessment in support of the Kootenai River Habitat Restoration Master Plan. The data for each study reach were produced in LAZ format supported by most geospatial software.
First release: December 2019
Revised: November 2020 (ver. 2.0)
Revised: December 2021 (ver. 3.0)
Revised: January 2023 (ver. 4.0)
[Version History 4.0](https://www.sciencebase.gov/catalog/file/get/5cab91d2e4b0c3b00650cdc5?f=__disk__b9%2F52%2F56%2Fb9525610e114cf08fc463f00d277c7710a5853a3&allowOpen=true)
## Contacts
Point of Contact
:
[Ryan L Fosness](/catalog/catalogParty/show?partyId=3322)
Originator
:
[Taylor J Dudunake](/catalog/catalogParty/show?partyId=70144),
[Ryan L Fosness](/catalog/catalogParty/show?partyId=3322),
[William (Contractor) P Nuckoles](/catalog/catalogParty/show?partyId=80254),
[Ezra I Grey](/catalog/catalogParty/show?partyId=83351)
Metadata Contact
:
[Taylor J Dudunake](/catalog/catalogParty/show?partyId=70144)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Data Owner
:
[Idaho Water Science Center](/catalog/catalogParty/show?partyId=17488)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=64247)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5cacd94fe4b0c3b006529d56?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5cacd94fe4b0c3b006529d56?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5cacd94fe4b0c3b006529d56?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| KR\_2009\_2022\_BraidedReach\_CrossSectionSurveys.xml<br>_Original FGDC Metadata_ | View | 22.3 KB | application/fgdc+xml |
| KR\_2009\_BraidedReach\_post-freshet.zip | | 1.31 MB | application/zip |
| KR\_2011\_BraidedReach\_post-freshet.zip | | 13.11 MB | application/zip |
| KR\_2011\_BraidedReach\_pre-freshet.zip | | 12.43 MB | application/zip |
| KR\_2012\_BraidedReach\_post-freshet.zip | | 2.69 MB | application/zip |
| KR\_2012\_BraidedReach\_pre-freshet.zip | | 1.96 MB | application/zip |
| KR\_2013\_BraidedReach\_post-freshet.zip | | 1.66 MB | application/zip |
| KR\_2013\_BraidedReach\_pre-freshet.zip | | 1.31 MB | application/zip |
| KR\_2014\_BraidedReach\_post-freshet.zip | | 453.31 KB | application/zip |
| KR\_2014\_BraidedReach\_pre-freshet.zip | | 425.78 KB | application/zip |
| KR\_2015\_BraidedReach\_post-freshet.zip | | 366.53 KB | application/zip |
| KR\_2015\_BraidedReach\_pre-freshet.zip | | 539.74 KB | application/zip |
| KR\_2016\_BraidedReach\_post-freshet.zip | | 89.72 KB | application/zip |
| KR\_2016\_BraidedReach\_pre-freshet.zip | | 426.01 KB | application/zip |
| KR\_2017\_BraidedReach\_post-freshet.zip | | 802.99 KB | application/zip |
| KR\_2018\_BraidedReach\_post-freshet.zip | | 1,012.19 KB | application/zip |
| KR\_2019\_BraidedReach\_post-freshet.zip | | 795.23 KB | application/zip |
| KR\_2020\_BraidedReach\_post-freshet.zip | | 2.15 MB | application/zip |
| KR\_2021\_BraidedReach\_post-freshet.zip | | 2.77 MB | application/zip |
| KR\_2022\_BraidedReach\_pre-freshet.zip | | 1.69 MB | application/zip |
| KR\_2009\_2022\_BraidedReach\_CrossSectionSurveys.jpg |  | 47.22 KB | image/jpeg |
## Related External Resources
Type: webLink
| | |
| --- | --- |
| ASPRS LAS specifications | [http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html](http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html "http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html") |
Type: Citation
| | |
| --- | --- |
| Bathymetric Surveys of the Kootenai River near Bonners Ferry, Idaho—Water Year 2011 | [https://pubs.usgs.gov/ds/694/](https://pubs.usgs.gov/ds/694/ "https://pubs.usgs.gov/ds/694/") |
Type: Related Primary Publication
| | |
| --- | --- |
| Kootenai River Substrate Enhancement Pilot Projects near Bonners Ferry, ID (ver. 3.0, January 2023) | [https://doi.org/10.5066/F7ZC824R](https://doi.org/10.5066/F7ZC824R "https://doi.org/10.5066/F7ZC824R") |
## Purpose
Cross-section bathymetry data were obtained along cross-sections by navigating the survey vessel across the channel to monitor aggradation and degradation of the channel bed to support on-going river restoration efforts in the braided reach. The data describe pre- and post-freshet bathymetric conditions when funding and flow conditions allowed. The cross-section surveys include the full width of the water surface except for extreme shallow areas along banks. For the bridge surveys, the channel bed in the vicinity of the two Straight Reach bridges (US Hwy 95 and Union Pacific RR) were surveyed and include the area beneath the bridge deck as well as a buffer zone greater than or equal to 100 ft upstream and downstream of each structure.
## Preview Image

## [Map](/catalog/item/imap/5cacd94fe4b0c3b006529d56)
[](/catalog/item/imap/5cacd94fe4b0c3b006529d56)
## Communities
- USGS Idaho Water Science Center
## Tags
Theme
- [ASCII](/catalog/items?q=&filter=tags%3DASCII "ASCII (ASCII, Theme, None)")
- [Bathymetry](/catalog/items?q=&filter=tags%3DBathymetry "Bathymetry (Bathymetry, Theme, None)")
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- [swath bathymetry](/catalog/items?q=&filter=tags%3Dswath+bathymetry "swath bathymetry (swath bathymetry, Theme, None)")
- [topography](/catalog/items?q=&filter=tags%3Dtopography "topography (topography, Theme, None)")
Place
- [Bonners Ferry](/catalog/items?q=&filter=tags%3DBonners+Ferry "Bonners Ferry (Bonners Ferry, Place, Geographic Names Information System (GNIS))")
- [ID](/catalog/items?q=&filter=tags%3DID "ID (ID, Place, Geographic Names Information System (GNIS))")
- [Idaho](/catalog/items?q=&filter=tags%3DIdaho "Idaho (Idaho, Place, Geographic Names Information System (GNIS))")
- [Kootenai River](/catalog/items?q=&filter=tags%3DKootenai+River "Kootenai River (Kootenai River, Place, Geographic Names Information System (GNIS))")
- [USA](/catalog/items?q=&filter=tags%3DUSA "USA (USA, Place, Geographic Names Information System (GNIS))")
## Provenance
Data sourceInput directly
Revision 4.0 by T.J Dudunake on January 5, 2023. To review the changes that were made, see “Version4.0.txt” in the attached files section.
Data collected by T.J. Dudunake and R.L Fosness. Data processed by T.J. Dudunake, W.P. Nuckoles, and E.I. Grey.
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <origin>Ryan L. Fosness</origin>\n <origin>William P. Nuckoles</origin>\n <origin>Ezra I. Grey</origin>\n <pubdate>2019</pubdate>\n <title>Kootenai River Braided Reach Cross-Section Bathymetry Surveys near Bonners Ferry, ID, 2009-2022</title>\n <geoform>vector digital data</geoform>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>U.S. Geological Survey - ScienceBase</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9OC5QMH</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Ryan L. Fosness</origin>\n <origin>Taylor J. Dudunake</origin>\n <origin>William P. Nuckoles</origin>\n <origin>Ezra I. Grey</origin>\n <pubdate>2019</pubdate>\n <title>Kootenai River Habitat Restoration Project Bathymetric Surveys near Bonners Ferry, ID (ver 4.0, January 2023)</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey ScienceBase data release</sername>\n <issue>version 4.0</issue>\n </serinfo>\n <onlink>https://doi.org/10.5066/P9OC5QMH</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>In 2009, the Kootenai Tribe of Idaho released and implemented the Kootenai River Habitat Restoration Master Plan. This plan aimed to restore, enhance, and maintain the Kootenai River habitat and landscape to support and sustain habitat conditions for aquatic species and animal populations. In support of these restoration efforts, the U.S. Geological Survey, in cooperation with the Kootenai Tribe of Idaho, conducted high-resolution multibeam echosounder bathymetric surveys as a baseline bathymetric monitoring survey on the Kootenai River near Bonners Ferry, Idaho. Three channel patterns or reaches exist in the study area: braided, meander, and a transitional zone connecting the braided and meander reaches. Bathymetric data were collected to: (1) survey unmapped portions of the Kootenai River; (2) re-survey portions of the Kootenai River to quantify changes in the channel; and (3) monitor aggradation and degradation of the channel bed at specific cross-sections within the braided reach and transitional zone. The bathymetric data will be used to update and verify flow models, calibrate and verify sediment transport modeling efforts, and aid in the biological assessment in support of the Kootenai River Habitat Restoration Master Plan. The data for each study reach were produced in LAZ format supported by most geospatial software. \nFirst release: December 2019 \nRevised: January 2023 (ver. 4.0)</abstract>\n <purpose>Cross-section bathymetry data were obtained along cross-sections by navigating the survey vessel across the channel to monitor aggradation and degradation of the channel bed to support on-going river restoration efforts in the braided reach. The data describe pre- and post-freshet bathymetric conditions when funding and flow conditions allowed. The cross-section surveys include the full width of the water surface except for extreme shallow areas along banks. For the bridge surveys, the channel bed in the vicinity of the two Straight Reach bridges (US Hwy 95 and Union Pacific RR) were surveyed and include the area beneath the bridge deck as well as a buffer zone greater than or equal to 100 ft upstream and downstream of each structure.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20090611</begdate>\n <enddate>20220601</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-116.33019144</westbc>\n <eastbc>-116.19549121</eastbc>\n <northbc>48.71140230</northbc>\n <southbc>48.69294092</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>inlandWaters</themekey>\n <themekey>elevation</themekey>\n <themekey>location</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>topography</themekey>\n <themekey>bathymetry</themekey>\n <themekey>bathymetry measurement</themekey>\n <themekey>GPS measurement</themekey>\n <themekey>land surveying</themekey>\n <themekey>Multibeam sonar</themekey>\n <themekey>lidar</themekey>\n <themekey>digital elevation models</themekey>\n <themekey>spatial analysis</themekey>\n <themekey>geospatial analysis</themekey>\n <themekey>contouring</themekey>\n <themekey>geospatial datasets</themekey>\n <themekey>topographic maps</themekey>\n <themekey>sedimentation</themekey>\n <themekey>erosion</themekey>\n </theme>\n <theme>\n <themekt>none</themekt>\n <themekey>Hypack</themekey>\n <themekey>Hysweep</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5cacd94fe4b0c3b006529d56</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>Pacific Northwest</placekey>\n <placekey>Kootenai-Pend Oreille-Spokane</placekey>\n <placekey>Kootenai</placekey>\n <placekey>Boundary</placekey>\n <placekey>Idaho</placekey>\n <placekey>Bonners Ferry</placekey>\n <placekey>United States</placekey>\n </place>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>USA</placekey>\n <placekey>Canada</placekey>\n <placekey>Kootenai River</placekey>\n <placekey>Kootenay River</placekey>\n <placekey>Idaho</placekey>\n <placekey>ID</placekey>\n <placekey>British Columbia</placekey>\n <placekey>Bonners Ferry</placekey>\n <placekey>Creston</placekey>\n </place>\n </keywords>\n <accconst>None</accconst>\n <useconst>These data are not intended for navigational purposes. Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, these data and information are provided with the understanding that they are not guaranteed to be usable, timely, accurate, or complete. Users are cautioned to consider carefully the provisional nature of these data and information before using them for decisions that concern personal or public safety or the conduct of business that involves substantial monetary or operational consequences. Neither the U.S. Government nor any agency thereof, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any data, software, information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. Trade, firm, or product names and other references to non-USGS products and services are provided for information only and do not constitute endorsement or warranty, express or implied, by the USGS, USDOI, or U.S. Government, as to their suitability, content, usefulness, functioning, completeness, or accuracy.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Ryan L. Fosness</cntper>\n <cntorg>U.S. Geological Survey, NW-PACIFIC ISLAND REG</cntorg>\n </cntperp>\n <cntpos>Supervisory Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>230 N Collins Road</address>\n <city>Boise</city>\n <state>ID</state>\n <postal>83702</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>(208)387-1319</cntvoice>\n <cntfax>(208)387-1372</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <browse>\n <browsen>KR_2009_2022_BraidedReach_CrossSectionSurveys.jpg</browsen>\n <browsed>Thumbnail JPG image</browsed>\n <browset>JPG</browset>\n </browse>\n <datacred>Please recognize the U.S. Geological Survey (USGS) and Kootenai Tribe of Idaho for use of this data. Funding provided by the USGS, Kootenai Tribe of Idaho, and Bonneville Power Administration.</datacred>\n <crossref>\n <citeinfo>\n <origin>Ryan L. Fosness</origin>\n <pubdate>2013</pubdate>\n <title>Bathymetric Surveys of the Kootenai River near Bonners Ferry, Idaho, water year 2011</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Data Series</sername>\n <issue>694, 26 p.</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://pubs.usgs.gov/ds/694/</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>National Oceanic and Atmospheric Administration (NOAA)</origin>\n <pubdate>2012</pubdate>\n <title>2010 USACE Lidar: Columbia River (OR, WA, ID, MT)</title>\n <geoform>vector digital data</geoform>\n <pubinfo>\n <pubplace>Charleston, SC</pubplace>\n <publish>NOAA Office for Coastal Management</publish>\n </pubinfo>\n <onlink>https://inport.nmfs.noaa.gov/inport/item/49920</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <origin>Ryan L. Fosness</origin>\n <pubdate>2018</pubdate>\n <title>Kootenai River Substrate Enhancement Pilot Projects near Bonners Ferry, ID (ver. 2.0, February 2021)</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Data Release</sername>\n <issue>Version 2</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Denver, Colorado</pubplace>\n <publish>U.S. Geological Survey - ScienceBase</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7ZC824R</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>HYPACK, Inc.</origin>\n <pubdate>2021</pubdate>\n <title>Hypack Hydrographic Survey Software Users Manual</title>\n <geoform>application/service</geoform>\n <pubinfo>\n <pubplace>Middletown, Conn.</pubplace>\n <publish>HYPACK, Inc.</publish>\n </pubinfo>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Quality assurance (QA) and quality control (QC) are critical with MBE surveys to maintain the highest degree of accuracy. Qualitative notes documenting anything that might affect the quality of the data, such as wave action, macrophyte growth, poor GPS quality, and any other observation that could degrade the bathymetric data were recorded in the daily field log. Prior to and during the survey, unique tasks were conducted at specified intervals to prepare the MBE system for bathymetric surveying, but also to describe the total estimated error within the system. Quality-assurance elements were developed following the input requirements of the Total Propagated Uncertainty (TPU) feature built into Hypack software. The TPU required a description of the general, environmental, and sensor settings to best estimate the total error potential in the survey data. Daily checks were made to ensure the GPS elevation by the MBES was verified with local horizontal and vertical benchmark data. Physical offsets were measured to reflect the correct geometric alignment of the equipment and to ensure proper translation for the MBES data solutions. A patch test ensured the MBE system was correctly offset and calibrated. The offsets from the patch test were applied to the system prior to the surveys on the Kootenai River. After the last survey, a performance test (also referred to as a beam angle check) provided quality control by quantifying the accuracy of the MBE. The performance test compared a set of standard survey data against a known reference surface. The performance test for the Kootenai River bathymetric surveys was conducted downstream from the Tribal Hatchery boat dock on the Kootenai River near Bonners Ferry, ID. The output from the performance test includes a summary of how the accuracy of the X,Y, and Z data are distributed through the swath of the MBE. Data uncertainty generally increases with beam angle (from the center (NADIR) beam). A complete description of the process used for quality control and quality assurance is provided in Fosness (2013).</attraccr>\n </attracc>\n <logic>The braided reach cross-section monitoring survey included two survey periods, the ascending limb of the high spring flows and/or the descending limb of the high spring flows when funding and flow conditions allowed.</logic>\n <complete>Edited raw data are presented in a LAZ (a compressed version of LAS) format in the most raw form so that it can be used in various types of geospatial software applications. Gaps may exist in the coverage due to erroneous data spikes, macrophyte growth, in-stream hazards (submerged trees), or non-kinematic positioning. Missing data largely existed near the edges where macrophyte growth was prevalent along with submerged trees or other anthropogenic obstructions (docks, etc).</complete>\n <posacc>\n <horizpa>\n <horizpar>The average horizontal uncertainty of the multibeam system was minimized as part of the patch test process. The horizontal accuracy of the postprocessed data is reported in individual metadata records.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>The average vertical uncertainty of the multibeam system is variable depending on depth and beam angle. The vertical accuracy of the postprocessed data is reported in individual metadata records.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>The equipment used to conduct the bathymetric survey included an Odom Hydrographic Systems ES-3 multibeam echosounder; an International Industries\xe2\x84\xa2 DSM-10 TSS dynamic motion reference unit (roll, pitch, yaw); and an Odom DIGIBAR Pro profiling sound velocimeter to provide continuous near-surface sound velocity data. A Hemisphere\xe2\x84\xa2 VS110 heading and position receiver using two GPS antennas mounted over the echo sounder transducer provided a precise heading. A more detailed description of the equipment used for the bathymetric survey is described in Fosness (2013). Horizontal and vertical positioning was accomplished using an RTK-GPS receiver mounted directly above the MBES and radio linked to a static base-station receiver using a GPS antenna positioned over one of the three temporary benchmarks. A real-time network (RTN) was used for position corrections when cellphone coverage was available. Bathymetry data were collected using HYPACK\xc2\xae software\xe2\x80\x99s HYSWEEP\xc2\xae Survey (HYPACK, Inc., 2022). Starting in 2020, bathymetric data were collected using a WBMS (wide-band multibeam sonar) system. This system consists of a multibeam echosounder, an inertial navigation system (INS), and data acquisition computer. The echosounding component was a 400 kHz Norbit integrated wideband multibeam system (iWBMS) capable of projecting 512 beams spanning a max of 210 degree swath (width of coverage) and beam widths of only 0.9 degrees. An Applanix based inertial navigation system accounted for heave, pitch, and roll of the vessel. One AML Oceanographic Base-X sound velocity probe (velocimeters) was used to profile the speed of sound underwater. One velocimeter was mounted and operated real-time near the MBES to account for spatial change in the surface speed of underwater sound. Two Trimble 540AP antenna GPS receivers mounted over the MBES was linked to a base station to provide real-time horizontal and vertical positioning. These data were transmitted via Ethernet data link to and from a small sonar interface unit (SIU) to transmit control commands to the sonar, receive the sonar records, and receive heading data for the iWBMS. Bathymetric data were collected using HYPACK\xc2\xae software\xe2\x80\x99s HYSWEEP\xc2\xae Survey or Norbit Data Collection Tool (DCT) along cross-sections by navigating the survey vessel across the channel.</procdesc>\n <procdate>20220612</procdate>\n </procstep>\n <procstep>\n <procdesc>The raw data were then edited using Hypack MBMAX software. All raw data were initially filtered to exclude the outer multibeam swath soundings to remove erroneous data. These data were out of tolerance and therefore excluded from the final data. Areas of missing data occurred within the dataset due to erroneous data spikes, macrophyte growth, submerged debris, or non-kinematic positioning. The data were reduced to the median value and output with a data density of 1 point per square foot. A complete description of standard data editing methods is described in Fosness (2013).</procdesc>\n <procdate>20220612</procdate>\n </procstep>\n <procstep>\n <procdesc>The edited (ASCII XYZ) data were converted to LAZ format.</procdesc>\n <procdate>20220820</procdate>\n </procstep>\n <procstep>\n <procdesc>Revision (Version 4.0) uploaded to ScienceBase Data Release. See Version4.0.txt for version history.</procdesc>\n <procdate>20230105</procdate>\n </procstep>\n <procstep>\n <procdesc>The metadata was revised.</procdesc>\n <procdate>20230109</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <gridsys>\n <gridsysn>Universal Transverse Mercator</gridsysn>\n <utm>\n <utmzone>11</utmzone>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-117</longcm>\n <latprjo>0</latprjo>\n <feast>500000</feast>\n <fnorth>0</fnorth>\n </transmer>\n </utm>\n </gridsys>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>1</absres>\n <ordres>1</ordres>\n </coordrep>\n <plandu>U.S. Survey Feet</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>North_American_Datum_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n <vertdef>\n <altsys>\n <altdatum>North American Vertical Datum of 1988. See individual metadata records for geoid model information</altdatum>\n <altres>0.01</altres>\n <altunits>U.S. Survey Feet</altunits>\n <altenc>Explicit elevation coordinate included with horizontal coordinates</altenc>\n </altsys>\n </vertdef>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>LAZ dataset</enttypl>\n <enttypd>A bathymetric dataset specific to a specific reach of the Kootenai River.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Classification Code</attrlabl>\n <attrdef>Code defining object surface from which the specific return reflected.</attrdef>\n <attrdefs>ASPRS</attrdefs>\n <attrdomv>\n <udom>Bathymetric Point (e.g. seafloor or riverbed; also known as submerged topography</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <resdesc>Downloadable Data</resdesc>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>LAZ</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9OC5QMH</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. This dataset is provided by USGS as a public service.</fees>\n </stdorder>\n <techpreq>The data is provided in LAZ format that can be viewed in GIS software such as Global Mapper or ArcGIS. LAZ files are compressed LAS files without information loss. A free data viewer, FugroViewer, that is capable of displaying the LAZ data is available for download here: https://www.fugro.com/about-fugro/our-expertise/technology/fugroviewer</techpreq>\n </distinfo>\n <metainfo>\n <metd>20230131</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Taylor J. Dudunake</cntper>\n <cntorg>U.S. Geological Survey, NW-PACIFIC ISLAND REG</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>230 N Collins Rd</address>\n <city>Boise</city>\n <state>ID</state>\n <postal>83702</postal>\n </cntaddr>\n <cntvoice>(208)387-1351</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <metextns>\n <onlink>http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html</onlink>\n <metprof>ASPRS LAS specifications</metprof>\n </metextns>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Idaho Water Science Center](/catalog/item/5abe53e7e4b081f61ac11d6a)
3. [Surface Water](/catalog/item/5acd116de4b0e2c2dd155d90)
4. [Geospatial Data for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2016–18](/catalog/item/59089376e4b0fc4e448ffe0e)
5. [Particle Size Analysis for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2014-18](/catalog/folder/5a0e120ae4b09af898cf2c9a)
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## Dates
Publication Date2019-02-26Start Date2014End Date2018
## Citation
Dudunake, T.J., 2019, Geospatial data for bridge scour countermeasure assessments at select bridges in the United States, 2016-2018: U.S. Geological Survey data release, https://doi.org/10.5066/F7WW7G4W.
## Summary
These data are supplemental rip-rap gradation data (Wolman Pebble Count) in text (.txt) format, collected during 2014-2018 field seasons for select bridges in the United States. These data were collected using a measuring tape to determine riprap gradation (D15, D50, D85, and D100) on in-place riprap at bridge piers and/or abutments at various locations in each study reach. They supplement the Geospatial Data for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2016–18. For high-resolution sites, traditional multibeam surveys were conducted using methods described in Huizinga (2015).
## Summary
These data are supplemental rip-rap gradation data (Wolman Pebble Count) in text (.txt) format, collected during 2014-2018 field seasons for select bridges in the United States. These data were collected using a measuring tape to determine riprap gradation (D15, D50, D85, and D100) on in-place riprap at bridge piers and/or abutments at various locations in each study reach. They supplement the Geospatial Data for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2016–18. For high-resolution sites, traditional multibeam surveys were conducted using methods described in Huizinga (2015).
## Contacts
Point of Contact
:
[Taylor J Dudunake](/catalog/catalogParty/show?partyId=70144)
Originator
:
[Taylor J Dudunake](/catalog/catalogParty/show?partyId=70144)
Metadata Contact
:
[Taylor J Dudunake](/catalog/catalogParty/show?partyId=70144)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
:
[Idaho Water Science Center](/catalog/catalogParty/show?partyId=17488)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5a0e120ae4b09af898cf2c9a?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5a0e120ae4b09af898cf2c9a?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5a0e120ae4b09af898cf2c9a?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| Particle Size Analysis for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2014-18.xml<br>_Original FGDC Metadata_ | View | 32.67 KB | application/fgdc+xml |
| siteID-001\_ApalachicolaRiver\_I-10\_highres\_multibeam\_bathymetry.zip | | 51.68 MB | application/zip |
| siteID-003\_MississippiRiver\_US-54\_highres\_multibeam\_bathymetry.zip | | 24.87 MB | application/zip |
| siteID-004\_MississippiRiver\_I-155\_highres\_multibeam\_bathymetry.zip | | 92.49 MB | application/zip |
| siteID-007\_WabashRiver\_I-64\_highres\_multibeam\_bathymetry.zip | | 42.11 MB | application/zip |
| siteID\_008\_ThompsonRiver\_MO-6\_wolman\_pebble\_count.zip | | 116.12 KB | application/zip |
| siteID\_009\_FoxRiver\_US-61\_wolman\_pebble\_count.zip | | 115.29 KB | application/zip |
| siteID\_010\_PerkiomenCreek\_SR-1024\_wolman\_pebble\_count.zip | | 117.41 KB | application/zip |
| siteID\_011\_GrandRiver\_Rte-A\_wolman\_pebble\_count.zip | | 114.65 KB | application/zip |
| siteID\_012\_BrandywineCreek\_SR-3062\_wolman\_pebble\_count.zip | | 127.42 KB | application/zip |
| siteID\_015\_BitterrootRiver\_BellCrossing\_wolman\_pebble\_count.zip | | 199.85 KB | application/zip |
| siteID\_016\_BlackfootRiver\_I90\_wolman\_pebble\_count.zip | | 140.71 KB | application/zip |
| siteID\_020\_JeffersonRiver\_ThreeForks\_wolman\_pebble\_count.zip | | 124.91 KB | application/zip |
| siteID\_023\_Judith\_wolman\_pebble\_count.zip | | 141.81 KB | application/zip |
| siteID\_024\_Musselshell\_wolman\_pebble\_count.zip | | 141.84 KB | application/zip |
| siteID\_026\_TwoMedicine\_wolman\_pebble\_count.zip | | 126 KB | application/zip |
| siteID\_028\_SmithBranch\_S-126\_wolman\_pebble\_count.zip | | 236.17 KB | application/zip |
| siteID-030\_UpperIowaRiver\_IA-76\_wolman\_highres.zip | | 6.8 MB | application/zip |
| siteID\_031\_WapsipiniconRiver\_US-30\_wolman\_pebble\_count.zip | | 115.18 KB | application/zip |
| siteID\_032\_OldMansCreek\_IA1\_wolman\_pebble\_count.zip | | 116.01 KB | application/zip |
| siteID\_034\_SaddleRiver\_NJ17\_wolman\_pebble\_count.zip | | 126.67 KB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Dudunake, T.J., Huizinga, R.J., and Fosness, R.L., 2019, Bridge scour countermeasure assessments at select bridges in the United States, 2016–18: U.S. Geological Survey Open-File Report 2019-1008, 12p., https://doi.org/10.3133/ofr20191008. | [https://doi.org/10.3133/ofr20191008](https://doi.org/10.3133/ofr20191008 "https://doi.org/10.3133/ofr20191008") |
## Purpose
These data provide gradation data to verify countermeasure plans. Supplemental topographic data and cross sections were also collected within the study area to assist in the description of the geomorphological characteristics of the features in and near the surveyed reach. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.
## [Map](/catalog/item/imap/5a0e120ae4b09af898cf2c9a)
[](/catalog/item/imap/5a0e120ae4b09af898cf2c9a)
## Communities
- USGS Idaho Water Science Center
## Tags
Theme
- [ASCII](/catalog/items?q=&filter=tags%3DASCII "ASCII (ASCII, Theme, None)")
- [Bathymetry](/catalog/items?q=&filter=tags%3DBathymetry "Bathymetry (Bathymetry, Theme, None)")
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Dudunake, Taylor J.</origin>\n <pubdate>2019</pubdate>\n <title>Particle Size Analysis for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2014-18</title>\n <geoform>tabular digital data</geoform>\n <serinfo>\n <sername>U.S. Geological Survey ScienceBase Data Release</sername>\n <issue>version 1.0</issue>\n </serinfo>\n <onlink>https://doi.org/10.5066/F7WW7G4W</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <origin>Richard J. Huizinga</origin>\n <origin>Ryan L. Fosness</origin>\n <pubdate>2019</pubdate>\n <title>Bridge scour countermeasure assessments at select bridges in the United States, 2016\xe2\x80\x9318</title>\n <serinfo>\n <sername>U.S. Geological Survey Open-File Report</sername>\n <issue>2019-1008, 12 p.</issue>\n </serinfo>\n <onlink>https://doi.org/10.3133/ofr20191008</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>These data are supplemental rip-rap gradation data (Wolman Pebble Count) in text (.txt) format, collected during 2014-2018 field seasons for select bridges in the United States. These data were collected using a measuring tape to determine riprap gradation (D15, D50, D85, and D100) on in-place riprap at bridge piers and/or abutments at various locations in each study reach. They supplement the Geospatial Data for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2016\xe2\x80\x9318. For high-resolution sites, traditional multibeam surveys were conducted using methods described in Huizinga (2015).</abstract>\n <purpose>These data provide gradation data to verify countermeasure plans. Supplemental topographic data and cross sections were also collected within the study area to assist in the description of the geomorphological characteristics of the features in and near the surveyed reach. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2014</begdate>\n <enddate>2018</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-130.232828016</westbc>\n <eastbc>-63.672191851</eastbc>\n <northbc>51.667162237</northbc>\n <southbc>21.742307778</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>bathymetry</themekey>\n <themekey>bridge piers</themekey>\n <themekey>riprap</themekey>\n <themekey>USGS</themekey>\n <themekey>wolman</themekey>\n <themekey>ASCII</themekey>\n <themekey>Geology</themekey>\n <themekey>inland waters</themekey>\n <themekey>Bathymetry</themekey>\n <themekey>Water Depth</themekey>\n <themekey>inlandWaters</themekey>\n <themekey>Multibeam</themekey>\n <themekey>XYZ</themekey>\n <themekey>U.S. Geological Survey</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5a0e120ae4b09af898cf2c9a</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>USA</placekey>\n <placekey>Perkiomen Creek</placekey>\n <placekey>Grand River</placekey>\n <placekey>Brandywine Creek</placekey>\n <placekey>Old Mans Creek</placekey>\n <placekey>Thompson River</placekey>\n <placekey>Fox River</placekey>\n <placekey>Saddle River</placekey>\n <placekey>New Jersey</placekey>\n <placekey>Iowa</placekey>\n <placekey>Missouri</placekey>\n <placekey>Pennsylvania</placekey>\n <placekey>NJ</placekey>\n <placekey>IA</placekey>\n <placekey>MO</placekey>\n <placekey>PA</placekey>\n </place>\n </keywords>\n <accconst>None</accconst>\n <useconst>Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, these data and information are provided with the understanding that they are not guaranteed to be usable, timely, accurate, or complete. Users are cautioned to consider carefully the provisional nature of these data and information before using them for decisions that concern personal or public safety or the conduct of business that involves substantial monetary or operational consequences. Neither the U.S. Government nor any agency thereof, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any data, software, information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. Trade, firm, or product names and other references to non-USGS products and services are provided for information only and do not constitute endorsement or warranty, express or implied, by the USGS, USDOI, or U.S. Government, as to their suitability, content, usefulness, functioning, completeness, or accuracy.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - Idaho Water Science Center</cntorg>\n <cntper>Taylor J. Dudunake</cntper>\n </cntorgp>\n <cntpos>Student Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>230 Collins Rd.</address>\n <city>Boise</city>\n <state>ID</state>\n <postal>83702</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>(208) 387-1319</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.0 (Build 2414) Service Pack 5 (Build 10.0.5.4400)</native>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-005 Snake River at Ferry Butte Road, near Blackfoot, ID</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c997ee4b0e541a038e364</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-006 Snake River at West River Road, near Shelley, ID</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9992e4b0e541a038e366</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-010 Perkiomen Creek at SR-1024, near Perkiomenville, PA</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c99aee4b0e541a038e368</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-011 Grand River at Route-A near McFall, MO</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c99dfe4b0e541a038e36e</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-012 West Branch Brandywine Creek at SR-3062, near Coatesville, PA</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c99fee4b0e541a038e372</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-013 Byram River at Sherwood Avenue, at Greenwich, CT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9a13e4b0e541a038e374</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-014 Bitterroot River at US-93 near Hamilton, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9953e4b0e541a038e361</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-015 Bitterroot River at Bell Crossing, near Victor, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9a3de4b0e541a038e37a</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-016 Blackfoot River at I-90, at Bonner, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9a5be4b0e541a038e37c</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-018 Beaverhead River at MT-41, at Twin Bridges, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9a79e4b0e541a038e37e</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-020 Jefferson River at MT-2, near Three Forks, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9a9be4b0e541a038e380</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-021 Madison River at I-90, near Three Forks, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9aafe4b0e541a038e382</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>siteID-027 Yellowstone River at MT-312, at Huntley, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9acfe4b0e541a038e384</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>siteID-028 Smith Branch at S-126, at Columbia, SC</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9ae1e4b0e541a038e387</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>siteID-029 Black River at US-52, at Kingstree, SC</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9afee4b0e541a038e38a</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>siteID-030 Upper Iowa River at IA-76, near Dorchester, IA</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9b22e4b0e541a038e38d</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>siteID-031 Wapsipinicon River at US-30, near Wheatland, IA</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9b47e4b0e541a038e392</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>siteID-032 Old Man's Creek at IA-1, near Iowa City, IA</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9b5fe4b0e541a038e395</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata records carefully for additional details.</complete>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-005 Snake River at Ferry Butte Road, near Blackfoot, ID</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=siteID-005_SnakeRiver_FerryButte_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>03032015</begdate>\n <enddate>03042015</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-005 Snake River at Ferry Butte Road, near Blackfoot, ID</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-006 Snake River at West River Road, near Shelley, ID</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=siteID-006_SnakeRiver_Shelley_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>07212015</begdate>\n <enddate>07232015</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-006 Snake River at West River Road, near Shelley, ID</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-010 Perkiomen Creek at SR-1024, near Perkiomenville, PA</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=siteID-010_PerkiomenCreek_SR-1024_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>08182015</begdate>\n <enddate>08192015</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-010 Perkiomen Creek at SR-1024, near Perkiomenville, PA</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-011 Grand River at Route-A near McFall, MO</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=ssiteID-011_GrandRiver_Rte-A_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>08172015</begdate>\n <enddate>08182015</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-011 Grand River at Route-A near McFall, MO</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-012 West Branch Brandywine Creek at Strasburg Road, near Coatesville, PA</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=siteID-012_WB-BrandywineCreek_SR-3062_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>11022015</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-012 West Branch Brandywine Creek at Strasburg Road, near Coatesville, PA</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-013 Byram River at Sherwood Avenue, at Greenwich, CT</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=siteID-013_ByramRiver_SherwoodAve_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>11042015</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-013 Byram River at Sherwood Avenue, at Greenwich, CT</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-014 Bitterroot River at US-93 near Hamilton, MT</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=siteID-014_Bitterroot_Hamilton_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>06302016</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-014 Bitterroot River at US-93 near Hamilton, MT</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-015 Bitterroot River at Bell Crossing, near Victor, MT</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=siteID-015_Bitterroot_BellCrossing_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>07132016</begdate>\n <enddate>07272016</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-015 Bitterroot River at Bell Crossing, near Victor, MT</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-016 Blackfoot River at I-90, at Bonner, MT</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=siteID-016_Blackfoot_I90_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>07132016</begdate>\n <enddate>07272016</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-016 Blackfoot River at I-90, at Bonner, MT</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-018 Beaverhead River at MT-41, at Twin Bridges, MT</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=siteID-018_Beaverhead_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>08102016</begdate>\n <enddate>09132016</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-018 Beaverhead River at MT-41, at Twin Bridges, MT</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-020 Jefferson River at MT-2, near Three Forks, MT</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=siteID-020_Jefferson_ThreeForks_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>08102016</begdate>\n <enddate>09132016</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-020 Jefferson River at MT-2, near Three Forks, MT</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-021 Madison River at I-90, near Three Forks, MT</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=siteID-021_Madison_ThreeForks_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>08092016</begdate>\n <enddate>09142016</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-021 Madison River at I-90, near Three Forks, MT</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-027_Yellowstone_Billings</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e?name=siteID-026_TwoMedicine_processed_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>08112016</begdate>\n <enddate>09122016</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-026 Two Medicine River at US-89 near Browning, MT</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>FWHA and the USGS developed a preliminary group of candidate bridge sites using the National Bridge Inventory and State Departments of Transportation databases. This list was reviewed to identify bridges that had some form of a bridge-scour related countermeasure installed and were previously identified as scour critical in the National Bridge Inventory</procdesc>\n <procdate>2015</procdate>\n </procstep>\n <procstep>\n <procdesc>Flood history was reviewed to assess peak-streamflow data and what magnitude of streamflow the bridge structures experienced since having the bridge-scour countermeasure installed.</procdesc>\n <procdate>2016</procdate>\n </procstep>\n <procstep>\n <procdesc>14 selected sites were surveyed that met the above project guidelines.</procdesc>\n <procdate>2016</procdate>\n </procstep>\n <procstep>\n <procdesc>ScienceBase Data Release webpage was completed</procdesc>\n <procdate>2016</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.\nAlthough this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner.\nThis database, identified as DS 700, has been approved for release and publication by the U.S. Geological Survey (USGS). Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from its authorized or unauthorized use.\nAlthough these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Geospatial Datasets</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>>https://www.sciencebase.gov/catalog/file/get/59089376e4b0fc4e448ffe0e</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200820</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Taylor J. Dudunake</cntper>\n <cntorg>U.S. Geological Survey - Idaho Water Science Center</cntorg>\n </cntperp>\n <cntpos>Student Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>230 Collins Rd.</address>\n <city>Boise</city>\n <state>ID</state>\n <postal>83702</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>(208) 387-1319</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Benthic Laboratory](/catalog/item/5d6efc05e4b0c4f70cf6cd4a)
3. [Bivalve metrics in the North San Francisco Bay and Sacramento-San Joaquin Delta](/catalog/folder/601e027dd34e94a4b9fc307f)
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## Dates
Start Date2014End Date2019Publication Date2021-05-14
## Citation
Zierdt Smith, E.L., Shrader, K.H., Pearson S.A., Crauder, J.S., Parchaso, F., and Thompson, J.K., 2021, Bivalve metrics in the North San Francisco Bay and Sacramento-San Joaquin Delta: U.S. Geological Survey data release, https://doi.org/10.5066/P9Q57NL0.
## Summary
Phytoplankton is an important and limiting food source in the Sacramento-San Joaquin Delta and San Francisco Bay; the decline of phytoplankton biomass is one possible factor in the pelagic organism decline and specifically in the decline of the protected delta smelt. The bivalves Corbicula fluminea and Potamocorbula amurensis (hereafter Corbicula and Potamocorbula, respectively) have been shown to control phytoplankton biomass in several locations throughout the system, and their distribution and population dynamics are therefore of great interest. As one element of the Department of Water Resources' (DWR) and the Bureau of Reclamation’s (BOR) Environmental Monitoring Program (EMP), the benthic monitoring program examines the impact \[...\]
## Summary
Phytoplankton is an important and limiting food source in the Sacramento-San Joaquin Delta and San Francisco Bay; the decline of phytoplankton biomass is one possible factor in the pelagic organism decline and specifically in the decline of the protected delta smelt. The bivalves Corbicula fluminea and Potamocorbula amurensis (hereafter Corbicula and Potamocorbula, respectively) have been shown to control phytoplankton biomass in several locations throughout the system, and their distribution and population dynamics are therefore of great interest. As one element of the Department of Water Resources' (DWR) and the Bureau of Reclamation’s (BOR) Environmental Monitoring Program (EMP), the benthic monitoring program examines the impact of water project operations on the estuary as prescribed by a series of Water Rights Decisions mandated by the State Water Resources Control Board (SWRCB). These impacts are determined by changes in benthic fauna presence, abundance and distribution of the benthos associated with physical factors in the estuary, and the detection of newly introduced species in the estuary.
## Contacts
Originator
:
[Emily L Zierdt Smith](/catalog/catalogParty/show?partyId=75312),
[Francis Parchaso](/catalog/catalogParty/show?partyId=7849),
[Janet K McHendrie](/catalog/catalogParty/show?partyId=10361)
Point of Contact
:
[Emily L Zierdt Smith](/catalog/catalogParty/show?partyId=75312)
Metadata Contact
:
[Emily L Zierdt Smith](/catalog/catalogParty/show?partyId=75312)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=64247)
SDC Data Owner
:
[Office of the Chief Operating Officer](/catalog/catalogParty/show?partyId=77215)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
## Attached Files - sorting - [Metadata First](/catalog/item/get/601e027dd34e94a4b9fc307f?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/601e027dd34e94a4b9fc307f?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/601e027dd34e94a4b9fc307f?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| Metadata\_Record\_Monthly.xml<br>_Original FGDC Metadata_ | View | 26.65 KB | application/fgdc+xml |
| IMG\_1611.jpg |  | 143.02 KB | image/jpeg |
| T1\_Monthly\_DataDictionary.csv | | 57.78 KB | text/csv |
| T1\_Monthly\_DataDictionary.xlsx | | 21.15 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T2\_Monthly\_BioRecGR.csv | | 50.07 KB | text/csv |
| T2\_Monthly\_BioRecGR.xlsx | | 87.96 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T3\_Monthly\_C9L\_ClamData.csv | | 120.09 KB | text/csv |
| T3\_Monthly\_C9L\_ClamData.xlsx | | 95.07 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T4\_Monthly\_D4L\_ClamData.csv | | 247.62 KB | text/csv |
| T4\_Monthly\_D4L\_ClamData.xlsx | | 202.65 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T5\_Monthly\_D6R\_ClamData.csv | | 139.57 KB | text/csv |
| T5\_Monthly\_D6R\_ClamData.xlsx | | 124.38 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T6\_Monthly\_D7C\_ClamData.csv | | 158.74 KB | text/csv |
| T6\_Monthly\_D7C\_ClamData.xlsx | | 138.02 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T7\_Monthly\_D16L\_ClamData.csv | | 135.69 KB | text/csv |
| T7\_Monthly\_D16L\_ClamData.xlsx | | 117.41 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T8\_Monthly\_D24L\_ClamData.csv | | 140.84 KB | text/csv |
| T8\_Monthly\_D24L\_ClamData.xlsx | | 123.68 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T9\_Monthly\_D28AL\_ClamData.csv | | 136.48 KB | text/csv |
| T9\_Monthly\_D28AL\_ClamData.xlsx | | 113.64 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T10\_Monthly\_D41AC\_ClamData.csv | | 115.9 KB | text/csv |
| T10\_Monthly\_D41AC\_ClamData.xlsx | | 99.36 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T11\_Monthly\_D41C\_ClamData.csv | | 32.78 KB | text/csv |
| T11\_Monthly\_D41C\_ClamData.xlsx | | 35.11 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| T12\_Monthly\_P8R\_ClamData.csv | | 134.02 KB | text/csv |
| T12\_Monthly\_P8R\_ClamData.xlsx | | 115.23 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Zierdt Smith, E.L., Shrader, K.H., Thompson, J.K., Parchaso, F., Gehrts, K., and Wells, E., 2023, Bivalve effects on the food web supporting delta smelt—A long-term study of bivalve recruitment, biomass, and grazing rate patterns with varying freshwater outflow: U.S. Geological Survey Open-File Report 2022–1101, 13 p., https://doi.org/10.3133/ofr20221101. | [https://doi.org/10.3133/ofr20221101](https://doi.org/10.3133/ofr20221101 "https://doi.org/10.3133/ofr20221101") |
## Preview Image

## [Map](/catalog/item/imap/601e027dd34e94a4b9fc307f)
[](/catalog/item/imap/601e027dd34e94a4b9fc307f)
## Spatial Services
ScienceBase WMS
## Communities
- USGS Benthic Laboratory
- USGS Data Release Products
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Place
- [North San Francisco Bay](/catalog/items?q=&filter=tags%3DNorth+San+Francisco+Bay "North San Francisco Bay (North San Francisco Bay, Place, )")
- [Sacramento-San Joaquin Delta](/catalog/items?q=&filter=tags%3DSacramento-San+Joaquin+Delta "Sacramento-San Joaquin Delta (Sacramento-San Joaquin Delta, Place, )")
Theme
- [Bivalves](/catalog/items?q=&filter=tags%3DBivalves "Bivalves (Bivalves, Theme, )")
- [benthic community](/catalog/items?q=&filter=tags%3Dbenthic+community "benthic community (benthic community, Theme, )")
- [benthic ecosystems](/catalog/items?q=&filter=tags%3Dbenthic+ecosystems "benthic ecosystems (benthic ecosystems, Theme, )")
- [benthic invertebrates](/catalog/items?q=&filter=tags%3Dbenthic+invertebrates "benthic invertebrates (benthic invertebrates, Theme, )")
- [biomass](/catalog/items?q=&filter=tags%3Dbiomass "biomass (biomass, Theme, )")
- [recruitment](/catalog/items?q=&filter=tags%3Drecruitment "recruitment (recruitment, Theme, )")
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## Provenance
Data sourceInput directly
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9Q57NL0 |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Zierdt Smith, Emily L.</origin>\n <origin>Shrader, Kelly H.</origin>\n <origin>Pearson, Sarah A.</origin>\n <origin>Crauder, Jeff</origin>\n <origin>Parchaso, Francis</origin>\n <origin>Thompson, Janet K.</origin>\n <pubdate>20210514</pubdate>\n <title>Bivalve metrics in the North San Francisco Bay and Sacramento-San Joaquin Delta</title>\n <geoform>Excel and CSV spreadsheets</geoform>\n <pubinfo>\n <pubplace>Menlo Park, CA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9Q57NL0</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Emily L. Zierdt Smith</origin>\n <origin>Kelly H. Shrader</origin>\n <origin>Janet K. Thompson</origin>\n <origin>Francis Parchaso</origin>\n <origin>Karen Gehrts</origin>\n <origin>Elizabeth Wells</origin>\n <pubdate>2023</pubdate>\n <title>Bivalve effects on the food web supporting delta smelt\xe2\x80\x94A long-term study of bivalve recruitment, biomass, and grazing rate patterns with varying freshwater outflow</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/ofr20221101</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This data release contains eleven data tables and a data dictionary for the Department of Water Resources' and the Bureau of Reclamation\xe2\x80\x99s Environmental Monitoring Program's (EMP) Benthic Monitoring program.</abstract>\n <purpose>Data were collected to examine the spatial and temporal extent of both Corbicula fluminea and Potamocorbula amurensis control on phytoplankton in the Sacramento-San Joaquin Delta and San Francisco Bay. These data support the Department of Water Resources' and the Bureau of Reclamation\xe2\x80\x99s Environmental Monitoring Program's (EMP) Benthic Monitoring program.</purpose>\n <supplinf>Phytoplankton is an important and limiting food source in the Sacramento-San Joaquin Delta and San Francisco Bay; the decline of phytoplankton biomass is one possible factor in the pelagic organism decline and specifically in the decline of the protected delta smelt. The bivalves Corbicula fluminea and Potamocorbula amurensis have been shown to control phytoplankton biomass in several locations throughout the system, and their distribution and population dynamics are therefore of great interest. As one element of the Department of Water Resources' (DWR) and the Bureau of Reclamation\xe2\x80\x99s (BOR) Environmental Monitoring Program (EMP), the benthic monitoring program examines the impact of water project operations on the estuary as prescribed by a series of Water Rights Decisions mandated by the State Water Resources Control Board (SWRCB). These impacts are determined by changes in benthic fauna presence, abundance and distribution of the benthos associated with physical factors in the estuary, and the detection of newly introduced species in the estuary.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2014</begdate>\n <enddate>2019</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-122.3906</westbc>\n <eastbc>-121.3799</eastbc>\n <northbc>38.1547</northbc>\n <southbc>37.8271</southbc>\n </bounding>\n <descgeog>Sacramento-San Joaquin Delta and North San Francisco Bay, California</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>bivalve</themekey>\n <themekey>benthic ecosystems</themekey>\n <themekey>benthic ecology</themekey>\n <themekey>community ecology</themekey>\n <themekey>spatial monitoring</themekey>\n <themekey>temporal monitoring</themekey>\n </theme>\n <theme>\n <themekt>Marine Realms Information Bank (MRIB)</themekt>\n <themekey>bivalves</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:601e027dd34e94a4b9fc307f</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>California</placekey>\n <placekey>Sacramento-San Joaquin Delta</placekey>\n <placekey>San Francisco Bay</placekey>\n <placekey>San Pablo Bay</placekey>\n <placekey>Suisun Bay</placekey>\n </place>\n <stratum>\n <stratkt>Marine Realms Information Bank (MRIB)</stratkt>\n <stratkey>benthos</stratkey>\n <stratkey>bivalves</stratkey>\n </stratum>\n <temporal>\n <tempkt>USGS Thesaurus</tempkt>\n <tempkey>time periods</tempkey>\n <tempkey>seasons</tempkey>\n </temporal>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Emily L Zierdt Smith</cntper>\n <cntorg>WMA: Earth System Processes Division</cntorg>\n </cntperp>\n <cntpos>Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 496, 345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>650-329-4574</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>California Department of Water Resources, U.S. Bureau of Reclamation, and Interagency Ecological Program</datacred>\n <crossref>\n <citeinfo>\n <origin>Crauder, Jeff S.</origin>\n <origin>Thompson, Janet K.</origin>\n <origin>Parchaso, Francis</origin>\n <origin>Anduaga, Rosa I.</origin>\n <origin>Pearson, Sarah A.</origin>\n <origin>Gehrts, Karen</origin>\n <origin>Fuller, Heather</origin>\n <origin>Wells, Elizabeth</origin>\n <pubdate>2016</pubdate>\n <title>Bivalve effects on the food web supporting delta smelt\xe2\x80\x94A long-term study of bivalve recruitment, biomass, and grazing rate patterns with varying freshwater outflow</title>\n <geoform>ONLINE_REFERENCE</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/ofr20161005</onlink>\n </citeinfo>\n </crossref>\n <taxonomy>\n <keywtax>\n <taxonkt>USGS Biocomplexity Thesaurus</taxonkt>\n <taxonkey>Bivalves</taxonkey>\n </keywtax>\n <taxonsys>\n <classsys>\n <classcit>\n <citeinfo>\n <origin>Integrated Taxonomic Information System (ITIS)</origin>\n <pubdate>2021</pubdate>\n <title>Integrated Taxonomic Information System (ITIS)</title>\n <geoform>ONLINE_REFERENCE</geoform>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>Integrated Taxonomic Information System (ITIS)</publish>\n </pubinfo>\n <onlink>http://itis.gov</onlink>\n </citeinfo>\n </classcit>\n </classsys>\n <ider>\n <cntinfo>\n <cntperp>\n <cntper>Wayne Fields</cntper>\n <cntorg>Hydrozoology</cntorg>\n </cntperp>\n <cntpos>Taxonomist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>PO Box 682</address>\n <city>Newcastle</city>\n <state>CA</state>\n <postal>95658</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>(916) 663-1900</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ider>\n <taxonpro>identification keys;;specimen processing</taxonpro>\n <taxoncom>Our identifications were comprehensive and detailed. We encountered no problems because our methods used for identification are standard and the species found in the study area are well-known to this project.</taxoncom>\n </taxonsys>\n <taxongen>All species were identified and enumerated to the lowest taxon possible. All bivalves were identified to the level of Species in the data.</taxongen>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Lophozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Mollusca</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Bivalvia</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Heterodonta</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Myoida</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Myoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Corbulidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Potamocorbula</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Potamocorbula amurensis</taxonrv>\n <common>brackish-water corbula</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Lophozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Mollusca</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Bivalvia</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Heterodonta</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Veneroida</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Corbiculoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Corbiculidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Corbicula</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Corbicula fluminea</taxonrv>\n <common>Asian clam</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxonomy>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Tables were cross-checked with other documents to make sure each field had the right data.</attraccr>\n </attracc>\n <logic>Data were checked to ensure that the values fell within the expected ranges and were not duplicated or omitted.</logic>\n <complete>Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>Station latitude and longitude coordinates were plotted to verify they were correct for each station.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>NA</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Bivalves were measured and their sizes were noted in an Excel spreadsheet. Biomass, filtration rate, grazing rate, and recruit values were calculated using appropriate equations from the literature and populated an Excel spreadsheet.</procdesc>\n <procdate>2020</procdate>\n </procstep>\n <method>\n <methtype>both</methtype>\n <methdesc>California Department of Water Resources (DWR) Environmental Monitoring Program samples ten stations throughout the Sacramento-San Joaquin monthly. Samples were collected by the DWR using a 0.052m2 Ponar dredge. At all sites, DWR collected four samples for species identification and an extra sample to determine the monthly length-to-weight (ash-free dry weight, [AFDW]) relationship of the bivalve species. Samples were screened through a 0.5mm screen, preserved in 10-percent buffered formalin, and transferred to 70-percent ethyl alcohol with rose bengal dye. \n\nThe USGS Benthic Laboratory in Menlo Park received sorted samples from DWR after their routine laboratory analyses were completed. Bivalves were enumerated and measured. Biomass estimates were based on relationships between shell length and dry tissue weight that were calculated by the USGS using the standard techniques. U.S. Geological Survey personnel measured the bivalves to the nearest mm using calipers and have been using this technique for over 20 years. Biomass, grazing rate, filtration rate, recruitment values were calculated using methods described in the literature.</methdesc>\n <methcite>\n <citeinfo>\n <origin>Stevens Jr, D. L., & Olsen, A. R.</origin>\n <pubdate>2004</pubdate>\n <title>Spatially balanced sampling of natural resources</title>\n <geoform>Document</geoform>\n <onlink>https://swap.stanford.edu/20110204152857/http:/www.epa.gov/nheerl/arm/documents/grts_asa.pdf</onlink>\n </citeinfo>\n </methcite>\n <methcite>\n <citeinfo>\n <origin>O'Riordan, C.A., Monismith, S.G., and Koseff, J.R.</origin>\n <pubdate>1995</pubdate>\n <title>The effect of bivalve excurrent jet dynamics on mass transfer in a benthic boundary layer</title>\n <geoform>Document</geoform>\n <onlink>https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.4319/lo.1995.40.2.0330</onlink>\n </citeinfo>\n </methcite>\n </method>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>1.0E-6</latres>\n <longres>1.0E-6</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>T1_Monthly_DataDictionary (*.xlsx, *.csv)</enttypl>\n <enttypd>This table defines all terms for T2_Monthly_ BioRecGRFR (*.xlsx, *.csv), T3_Monthly_C9L_ClamData (*.xlsx, *.csv), T4_Monthly_D4L_ClamData (*.xlsx, *.csv), T5_Monthly_D6R_ClamData (*.xlsx, *.csv), T6_Monthly_D7C_ClamData (*.xlsx, *.csv), T7_Monthly_D16L_ClamData (*.xlsx, *.csv), T8_Monthly_D24L_ClamData (*.xlsx, *.csv), T9_Monthly_D28AL_ClamData (*.xlsx, *.csv), T10_Monthly_D41AC_ClamData (*.xlsx, *.csv), T11_Monthly_D41C_ClamData (*.xlsx, *.csv), T12_Monthly_P8R_ClamData (*.xlsx, *.csv)</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 1, columns 1-13</attrlabl>\n <attrdef>Table No, Table Name, Table Column, Column heading, Column description, Extended Description, Unit Abbreviation, Unit Definition, Additional Column Note, Analytical Laboratory Name, Analytical Laboratory Location, Method Reference-Primary, Method Reference-Secondary</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T2_Monthly_BioRecGRFR (*.xlsx, *.csv)</enttypl>\n <enttypd>Biomass, Grazing Rate, Filtration Rate, and Recruitment data</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 2, columns 1-11</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_Monthly_DataDictionary.xlsx and T1_Monthly_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T3_Monthly_C9L_ClamData (*.xlsx, *.csv)</enttypl>\n <enttypd>Date, Station, Latitude, Longitude, Clam Species, Size (mm), Haul 1, Haul 2, Haul 3, Haul 4, Total, Mean</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 3, columns 1-12</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_Monthly_DataDictionary.xlsx and T1_Monthly_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T4_Monthly_D4L_ClamData (*.xlsx, *.csv)</enttypl>\n <enttypd>Date, Station, Latitude, Longitude, Clam Species, Size (mm), Haul 1, Haul 2, Haul 3, Haul 4, Total, Mean</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 4, columns 1-12</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_Monthly_DataDictionary.xlsx and T1_Monthly_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T5_Monthly_D6R_ClamData (*.xlsx, *.csv)</enttypl>\n <enttypd>Date, Station, Latitude, Longitude, Clam Species, Size (mm), Haul 1, Haul 2, Haul 3, Haul 4, Total, Mean</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 5, columns 1-12</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_Monthly_DataDictionary.xlsx and T1_Monthly_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T6_Monthly_D7C_ClamData (*.xlsx, *.csv)</enttypl>\n <enttypd>Date, Station, Latitude, Longitude, Clam Species, Size (mm), Haul 1, Haul 2, Haul 3, Haul 4, Total, Mean</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 6, columns 1-12</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_Monthly_DataDictionary.xlsx and T1_Monthly_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T7_Monthly_D16L_ClamData (*.xlsx, *.csv)</enttypl>\n <enttypd>Date, Station, Latitude, Longitude, Clam Species, Size (mm), Haul 1, Haul 2, Haul 3, Haul 4, Total, Mean</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 7, columns 1-12</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_Monthly_DataDictionary.xlsx and T1_Monthly_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T8_Monthly_D24L_ClamData (*.xlsx, *.csv)</enttypl>\n <enttypd>Date, Station, Latitude, Longitude, Clam Species, Size (mm), Haul 1, Haul 2, Haul 3, Haul 4, Total, Mean</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 8, columns 1-12</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_Monthly_DataDictionary.xlsx and T1_Monthly_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T9_Monthly_D28AL_ClamData (*.xlsx, *.csv)</enttypl>\n <enttypd>Date, Station, Latitude, Longitude, Clam Species, Size (mm), Haul 1, Haul 2, Haul 3, Haul 4, Total, Mean</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 9, columns 1-12</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_Monthly_DataDictionary.xlsx and T1_Monthly_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T10_Monthly_D41AC_ClamData (*.xlsx, *.csv)</enttypl>\n <enttypd>Date, Station, Latitude, Longitude, Clam Species, Size (mm), Haul 1, Haul 2, Haul 3, Haul 4, Total, Mean</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 10, columns 1-12</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_Monthly_DataDictionary.xlsx and T1_Monthly_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>All column headings are defined in the data dictionary for all data tables.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T11_Monthly_D41C_ClamData (*.xlsx, *.csv)</enttypl>\n <enttypd>Date, Station, Latitude, Longitude, Clam Species, Size (mm), Haul 1, Haul 2, Haul 3, Haul 4, Total, Mean</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 11, columns 1-12</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_Monthly_DataDictionary.xlsx and T1_Monthly_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>U.S. Geological Survey</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>T12_Monthly_P8R_ClamData (*.xlsx, *.csv)</enttypl>\n <enttypd>Date, Station, Latitude, Longitude, Clam Species, Size (mm), Haul 1, Haul 2, Haul 3, Haul 4, Total, Mean</enttypd>\n <enttypds>Emily L. Zierdt Smith</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Table 12, columns 1-12</attrlabl>\n <attrdef>All terms are defined in the data dictionary (T1_Monthly_DataDictionary.xlsx and T1_Monthly_DataDictionary.csv).</attrdef>\n <attrdefs>U.S. Geological Survey</attrdefs>\n <attrdomv>\n <udom>U.S. Geological Survey</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>ScienceBase</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20230414</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Emily L Zierdt Smith</cntper>\n <cntorg>WMA: Earth System Processes Division</cntorg>\n </cntperp>\n <cntpos>Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 496, 345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>650-329-4574</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
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## Dates
Publication Date2020-08-27Start Date2017-11-14End Date2018-04-17
## Citation
Roy, K., Granthon, C., Peck, R.W. and Atkinson, C.T., 2020, Waipunalei ROD Management 2017-2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9THTCOX.
## Summary
These data contain the counts of ambrosia beetle galleries on felled ʻōhiʻa trees and the heights and diameters at which the galleries were observed.
## Summary
These data contain the counts of ambrosia beetle galleries on felled ʻōhiʻa trees and the heights and diameters at which the galleries were observed.
## Contacts
Point of Contact
:
[Kylle Roy](/catalog/catalogParty/show?partyId=Kylle+Roy),
[USGS](/catalog/catalogParty/show?partyId=USGS)
Process Contact
:
[Kylle A Roy](/catalog/catalogParty/show?partyId=Kylle+A+Roy),
[U.S. Geological Survey, NW-PACIFIC ISLAND REG](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey%2C+NW-PACIFIC+ISLAND+REG)
Originator
:
[Kylle A. Roy](/catalog/catalogParty/show?partyId=Kylle+A.+Roy),
[Carolina Granthon](/catalog/catalogParty/show?partyId=Carolina+Granthon),
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## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Roy, K., C. Granthon, R. W. Peck, and C. T. Atkinson. 2021. Effectiveness of Rapid 'Ōhi'a Death management strategies at a focal disease outbreak on Hawai'i Island. Hawai\`i Cooperative Studies Unit Technical Report HCSU-TR099, University of Hawai'i at Hilo, Hilo, Hawai‘i. Available:http://hdl.handle.net/10790/5554. | [http://hdl.handle.net/10790/5554](http://hdl.handle.net/10790/5554 "http://hdl.handle.net/10790/5554") |
## Purpose
These data were collected to document ambrosia beetle gallery entrances in relation to tree diameter and height.
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Kylle A. Roy</origin>\n <origin>Carolina Granthon</origin>\n <origin>Robert W. Peck</origin>\n <origin>Carter T. Atkinson</origin>\n <pubdate>20200827</pubdate>\n <title>Beetle Gallery Count Data</title>\n <geoform>tabular digital data</geoform>\n <onlink>https://doi.org/10.5066/P9THTCOX</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Kylle Roy</origin>\n <origin>Carolina Granthon</origin>\n <origin>Robert W. Peck</origin>\n <origin>Carter T. Atkinson</origin>\n <pubdate>2021</pubdate>\n <title>Effectiveness of Rapid \xca\xbb\xc5\x8chi\xca\xbba Death management strategies at at focal disease outbreak on Hawai\xca\xbbi Island</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>HCSU Technical Report Series</sername>\n <issue>HCSU-TR099</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Hilo</pubplace>\n <publish>Hawaii Cooperative Studies Unit</publish>\n </pubinfo>\n <othercit>Roy, K., C. T. Atkinson, C. Granthon, and R. W. Peck. 2021. Effectiveness of Rapid \xca\xbb\xc5\x8chi\xca\xbba Death management strategies at at focal disease outbreak on Hawai\xca\xbbi Island. Technical Report XXX, Hawaii Cooperative Studies Unit, University of Hawaii at Hilo</othercit>\n <onlink>http://hdl.handle.net/10790/5554</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>These data contain the counts of ambrosia beetle galleries on felled \xca\xbb\xc5\x8dhi\xca\xbba trees and the heights and diameters at which the galleries were observed.</abstract>\n <purpose>These data were collected to document ambrosia beetle gallery entrances in relation to tree diameter and height.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20171114</begdate>\n <enddate>20180417</enddate>\n </rngdates>\n </timeinfo>\n <current>observed</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-155.2990</westbc>\n <eastbc>-155.2368</eastbc>\n <northbc>19.9485</northbc>\n <southbc>20.0027</southbc>\n </bounding>\n <descgeog>Waipunalei, Hawai\xca\xbbi</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>environment</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Rapid Ohia Death</themekey>\n <themekey>Ohia lehua</themekey>\n <themekey>Passive Environmental Samplers</themekey>\n <themekey>Beetle frass</themekey>\n <themekey>Management</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5f3ee96682ce8df5b6c8f8b1</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Hawaii</placekey>\n <placekey>Hawaii Island</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>None. Users are advised to read the data set\'s metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Kylle Roy</cntper>\n <cntorg>USGS</cntorg>\n </cntperp>\n <cntpos>Geneticist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1 Crater Rim Drive</address>\n <city>Hawaii National Park</city>\n <state>HI</state>\n <postal>96718</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>8089856437</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Mali\xca\xbbo Kodis, Alex Evans, Nikki Thomas, Kelly Jaenecke, and Savannah Miller provided field and laboratory support. The BIISC ROD crew (Bill Buckley, Dustin Swan, Kristen Hofer, Samantha Buechner, Chevy Coelho, and Jorden Zarders) conducted all management efforts. Kevin Brink assisted with statistical advice and Sheri Smith from USDA-Forest Service provided technical advice and beetle traps. Significant funding for the collection, management and synthesis of these climate data was provided by the National Science Foundation EPSCoR program, the USDA Forest Service, the University of Hawaii, and the USGS Pacific Climate Science Center. The project was funded in part by the U.S. Geological Survey Natural Resource Protection Program, the U.S. Department of Interior and U.S. Department of Agriculture joint Service First Program, and the U.S. Geological Survey Ecosystems Mission Area.</datacred>\n <native>Windows 7 Enterprise, Excel 2013</native>\n <taxonomy>\n <keywtax>\n <taxonkt>None</taxonkt>\n <taxonkey>Ceratocystis</taxonkey>\n <taxonkey>Metrosideros polymorpha</taxonkey>\n <taxonkey>Xyleborus</taxonkey>\n </keywtax>\n <taxoncl>\n <taxonrn>Domain</taxonrn>\n <taxonrv>Eukaryota</taxonrv>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Fungi</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Dikarya</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Ascomycota</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Pezizomycotina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Sordariomycetes</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Sordariomycetidae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Ophiostomatales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Ophiostomataceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Ceratocystis</taxonrv>\n <common>TSN: 181740</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Myrtales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Myrtaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Metrosideros</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Metrosideros polymorpha</taxonrv>\n <common>TSN: 27259</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Ecdysozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Arthropoda</taxonrv>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Hexapoda</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Insecta</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Pterygota</taxonrv>\n <taxoncl>\n <taxonrn>Infraclass</taxonrn>\n <taxonrv>Neoptera</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Holometabola</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Coleoptera</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Polyphaga</taxonrv>\n <taxoncl>\n <taxonrn>Infraorder</taxonrn>\n <taxonrv>Cucujiformia</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Curculionoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Curculionidae</taxonrv>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Scolytinae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Xyleborus</taxonrv>\n <common>TSN: 188139</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxonomy>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Gallery entrances were checked for accuracy using a push-pin.</attraccr>\n </attracc>\n <logic>All data are logical.</logic>\n <complete>These data represent beetle gallery assessment on \xca\xbb\xc5\x8dhi\xca\xbba boles only within the study area.</complete>\n <posacc>\n <horizpa>\n <horizpar>NA</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>NA</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Nine \xca\xbb\xc5\x8dhi\xca\xbba trees in the "core" area of the ROD outbreak were felled by personnel from Big Island Invasive Species Committee and examined to determine vertical distribution of entrances to beetle galleries. Six trees were examined on December 15, 2017, 2-3 days after felling. An additional three trees were examined on January 19, 2018, 2-3 days after felling. We measured 1 meter from the base of each tree and then divided the main stem into one-meter long sections until the top of the tree was reached. The circumference of each one-meter section was measured at the midpoint of each section. Beginning at one meter above the base and continuing for every other section until the top of the tree, two, 0.25 m2 squares made from rope were randomly placed and the bark within that area was removed using a draw knife (Timber Tuff Tools, Miltona, MN). Gallery entrances were marked with a Sharpie permanent marker and counted within each 0.25 m2 square. Gallery entrances were defined as holes in which a push-pin could be inserted but not larger.</procdesc>\n <procdate>20200529</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Kylle A Roy</cntper>\n <cntorg>U.S. Geological Survey, NW-PACIFIC ISLAND REG</cntorg>\n </cntperp>\n <cntpos>Geneticist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Bldg 344 Chain of Craters Rd.</address>\n <city>Hawaii National Park</city>\n <state>HI</state>\n <postal>96718</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>808-985-6437</cntvoice>\n <cntfax>808-967-8568</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>WaipunaleiGalleryEntranceAssesment.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing beetle gallery entrance data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Date_Sampled</attrlabl>\n <attrdef>The date each tree was surveyed.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>12/15/2017</rdommin>\n <rdommax>01/19/2018</rdommax>\n <attrunit>mm/dd/yyyy</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Tree_ID</attrlabl>\n <attrdef>The specific identification number assigned to each tree used in the study area.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>9</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SurveyAreaHeight(m)</attrlabl>\n <attrdef>The height of the \xca\xbb\xc5\x8dhi\xca\xbba bole surveyed.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>17</rdommax>\n <attrunit>Meters</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GalleyCountsQuadrat1</attrlabl>\n <attrdef>Number of galleries observed within the first quadrat of each survey bole.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>14</rdommax>\n <attrunit>Count</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GalleryCountsQuadrat2</attrlabl>\n <attrdef>Number of galleries observed within the second quadrat of each survey bole.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>The circumference of the tree was not large enough for a second quadrat measurement.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>16</rdommax>\n <attrunit>Count</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>AverageGalleryCounts</attrlabl>\n <attrdef>Average number of beetle galleries observed in first and second quadrat of each survey area.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>15.0</rdommax>\n <attrunit>Count</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Circumference (cm)</attrlabl>\n <attrdef>The circumference of each bole measured from its center.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Data are missing.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>3.4</rdommin>\n <rdommax>50.0</rdommax>\n <attrunit>Centimeters</attrunit>\n <attrmres>1</attrmres>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9THTCOX</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Kylle A Roy</cntper>\n <cntorg>U.S. Geological Survey, NW-PACIFIC ISLAND REG</cntorg>\n </cntperp>\n <cntpos>Geneticist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Bldg 344 Chain of Craters Rd.</address>\n <city>Hawaii National Park</city>\n <state>HI</state>\n <postal>96718</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>808-985-6437</cntvoice>\n <cntfax>808-967-8568</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2017-11-22Start Date2016-05-14End Date2016-10-06
## Citation
Lewicki, J.L., Kelly, P.J., Bergfeld,Deborah, Vaughan, R.G., and Lowenstern, J.B., 2017, Gas and heat emission measurements in Norris Geyser Basin, Yellowstone National Park (May-October 2016): U.S. Geological Survey data release, https://doi.org/10.5066/F70P0Z03.
## Summary
From 14 May to 6 October 2016 measurements of gas and heat emissions were made at Bison Flat, an acid-sulfate, vapor-dominated area (0.04-km2) of Norris Geyser Basin, Yellowstone National Park, WY. An eddy covariance system measured half-hourly CO2, H2O and sensible and latent heat fluxes, air temperature and pressure, wind speed and direction, soil moisture and rainfall. A Multi-GAS instrument measured (1 Hz frequency) atmospheric H2O, CO2 and H2S volumetric mixing ratios, air pressure, temperature and relative humidity and wind speed and direction. Soil CO2 fluxes and temperature profiles were also measured on a grid using the accumulation chamber method and thermocouple probes, respectively. These data were used to derive hydrothermal \[...\]
## Summary
From 14 May to 6 October 2016 measurements of gas and heat emissions were made at Bison Flat, an acid-sulfate, vapor-dominated area (0.04-km2) of Norris Geyser Basin, Yellowstone National Park, WY. An eddy covariance system measured half-hourly CO2, H2O and sensible and latent heat fluxes, air temperature and pressure, wind speed and direction, soil moisture and rainfall. A Multi-GAS instrument measured (1 Hz frequency) atmospheric H2O, CO2 and H2S volumetric mixing ratios, air pressure, temperature and relative humidity and wind speed and direction. Soil CO2 fluxes and temperature profiles were also measured on a grid using the accumulation chamber method and thermocouple probes, respectively. These data were used to derive hydrothermal CO2 and heat emission rates and characterize the chemical compositions of fumarole and soil-gas emissions. The eddy covariance, Multi-GAS and soil CO2 flux and temperature data sets are saved in spreadsheets in the \*.csv format.
## Contacts
Point of Contact
:
[Jennifer L Lewicki](/catalog/catalogParty/show?partyId=59786)
Originator
:
[Jennifer L Lewicki](/catalog/catalogParty/show?partyId=59786),
[Peter J Kelly](/catalog/catalogParty/show?partyId=Peter+J+Kelly),
[Deborah Bergfeld](/catalog/catalogParty/show?partyId=757),
[R Greg Vaughan](/catalog/catalogParty/show?partyId=12333),
[Jacob B Lowenstern](/catalog/catalogParty/show?partyId=6282)
Metadata Contact
:
[Jennifer L Lewicki](/catalog/catalogParty/show?partyId=59786)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
Distributor
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[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey+-+ScienceBase)
USGS Mission Area
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[Natural Hazards](/catalog/catalogParty/show?partyId=Natural+Hazards)
SDC Data Owner
:
[Office of the Alaska Regional Director](/catalog/catalogParty/show?partyId=17501)
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| Soil CO2 flux data.csv<br>“Soil CO2 flux data” | | 5.24 KB | text/csv |
| Soil temperature data.csv<br>“Soil temperature data” | | 4.12 KB | text/csv |
| Multi-GAS data.csv<br>“Multi-GAS data” | | 63.31 MB | text/csv |
| Eddy covariance data.csv<br>“Eddy covariance data” | | 543.94 KB | text/csv |
## Purpose
The eddy covariance, Multi-GAS and soil CO2 flux and temperature data sets were collected to derive hydrothermal CO2 and heat emission rates for the study area and characterize gas sources and their relationships to meteorological variations. Baseline temporal variations recorded in gas and heat emissions can be used to assess future changes in the context of volcanic unrest. See the associated publication in the Journal of Volcanology and Geothermal Research for more information.
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## Communities
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## Tags
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- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [Multi-GAS](/catalog/items?q=&filter=tags%3DMulti-GAS "Multi-GAS (Multi-GAS, Theme, None)")
- [eddy covariance](/catalog/items?q=&filter=tags%3Deddy+covariance "eddy covariance (eddy covariance, Theme, None)")
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- [hydrothermal processes](/catalog/items?q=&filter=tags%3Dhydrothermal+processes "hydrothermal processes (hydrothermal processes, Theme, USGS Thesaurus)")
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- [Yellowstone National Park](/catalog/items?q=&filter=tags%3DYellowstone+National+Park "Yellowstone National Park (Yellowstone National Park, Place, Geographic Names Information System (GNIS))")
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## Provenance
## Additional Information
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| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F70P0Z03 |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Jennifer L. Lewicki</origin>\n <origin>Peter J. Kelly</origin>\n <origin>Deborah Bergfeld</origin>\n <origin>R. Greg Vaughan</origin>\n <origin>Jacob B. Lowenstern</origin>\n <pubdate>2017</pubdate>\n <title>Gas and heat emission measurements in Norris Geyser Basin, Yellowstone National Park (May-October 2016)</title>\n <geoform>spreadsheet (.CSV)</geoform>\n <pubinfo>\n <pubplace>Menlo Park, CA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F70P0Z03</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Jennifer L. Lewicki</origin>\n <origin>Peter J. Kelly</origin>\n <origin>Deborah Bergfeld</origin>\n <origin>R. Greg Vaughan</origin>\n <origin>Jacob B. Lowenstern</origin>\n <pubdate>2017</pubdate>\n <title>Monitoring gas and heat emissions in Norris Geyser Basin, Yellowstone National Park, USA based on a combined eddy covariance and Multi-GAS approach</title>\n <geoform>table</geoform>\n <pubinfo>\n <pubplace>unknown</pubplace>\n <publish>Journal of Volcanology and Geothermal Research</publish>\n </pubinfo>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>From 14 May to 6 October 2016 measurements of gas and heat emissions were made at Bison Flat, an acid-sulfate, vapor-dominated area (0.04-km2) of Norris Geyser Basin, Yellowstone National Park, WY. An eddy covariance system measured half-hourly CO2, H2O and sensible and latent heat fluxes, air temperature and pressure, wind speed and direction, soil moisture and rainfall. A Multi-GAS instrument measured (1 Hz frequency) atmospheric H2O, CO2 and H2S volumetric mixing ratios, air pressure, temperature and relative humidity and wind speed and direction. Soil CO2 fluxes and temperature profiles were also measured on a grid using the accumulation chamber method and thermocouple probes, respectively. These data were used to derive hydrothermal CO2 and heat emission rates and characterize the chemical compositions of fumarole and soil-gas emissions. The eddy covariance, Multi-GAS and soil CO2 flux and temperature data sets are saved in spreadsheets in the *.csv format.</abstract>\n <purpose>The eddy covariance, Multi-GAS and soil CO2 flux and temperature data sets were collected to derive hydrothermal CO2 and heat emission rates for the study area and characterize gas sources and their relationships to meteorological variations. Baseline temporal variations recorded in gas and heat emissions can be used to assess future changes in the context of volcanic unrest. See the associated publication in the Journal of Volcanology and Geothermal Research for more information.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20160514</begdate>\n <enddate>20161006</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-110.7063</westbc>\n <eastbc>-110.7019</eastbc>\n <northbc>44.7377</northbc>\n <southbc>44.7349</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>hydrothermal processes</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>gas</themekey>\n <themekey>heat</themekey>\n <themekey>eddy covariance</themekey>\n <themekey>Multi-GAS</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:59d68f84e4b05fe04cc6b209</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Yellowstone National Park</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Jennifer L Lewicki</cntper>\n <cntorg>ALASKA REGION</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 434, 345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>650-329-4604</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Calibration gases were used to assess Multi-GAS sensor responses in the field. All gas sensors were observed to be accurate within <15% of the standard values. The accuracy of soil temperature sensors was within 0.5oC of water bath temperatures measured using National Institute Standards and Technology traceable glass thermometers (Hurwitz et al., 2012). The accuracy of accumulation chamber soil CO2 flux measurements was -12%, relative to known CO2 fluxes imposed under under laboratory conditions (Evans et al., 2001). \n\nReferences \nEvans, W.C., Sorey, M.L., Kennedy, B.M., Stonestrom, D.A., Rogie, J.D., and Shuster, D.L., 2001, High CO2 emissions through porous media: transport mechanisms and implications for flux measurement and fractionation: Chemical Geology, v. 177, p. 15-29. \nHurwitz, S., Harris, R.N., Werner, C.A., and Murphy, F., 2012, Heat flow in vapor dominated areas of the Yellowstone Plateau Volcanic Field: Implications for the thermal budget of Yellowstone Caldera: Journal of Geophysical Research, v. 117.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>H2S and SO2 mixing ratios by volume were computed by applying an ideal gas correction to uncompensated H2S (or SO2) sensor (City Technologies T3H) inside the Multi-GAS instrument. For example,\xc2\xa0H2S ppmv = H2Sraw*(1013.25/Sample_Pressure)*[(Instrument_Temp+273.15)/298.15]</procdesc>\n <procdate>2016</procdate>\n </procstep>\n <procstep>\n <procdesc>Eddy covariance CO2, H2O and sensible and latent heat fluxes were calculated by the eddy covariance system using onboard LI-COR EddyPro software at the time of wind speed and gas density measurements.</procdesc>\n <procdate>2016</procdate>\n </procstep>\n <procstep>\n <procdesc>To calculate soil CO2 fluxes, field measurements of rate of change of CO2 concentration in the accumulation chamber were corrected for accumulation chamber pressure and temperature conditions and multiplied by accumulation chamber (volume / footprint area).</procdesc>\n <procdate>2016</procdate>\n </procstep>\n <procstep>\n <procdesc>Soil temperatures were calculated as the average of the last 40 measurements of a 10-minute time series (one sample every 2 seconds).</procdesc>\n <procdate>2016</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n </spdoinfo>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Soil CO2 flux data</enttypl>\n <enttypd>Spreadsheet (*.csv) containing accumulation chamber soil CO2 flux data at Bison Flat in Norris Geyser Basin</enttypd>\n <enttypds>Jennifer Lewicki</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Date</attrlabl>\n <attrdef>Date soil CO2 flux measurement was made</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10/5/2016</rdommin>\n <rdommax>10/6/2016</rdommax>\n <attrunit>Date (month/day/year)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Easting</attrlabl>\n <attrdef>Easting of soil CO2 flux measurement, measured by GPS</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>523274</rdommin>\n <rdommax>523552</rdommax>\n <attrunit>Easting (meters), using WGS84 datum, UTM Zone 12N</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Northing</attrlabl>\n <attrdef>Northing of soil CO2 flux measurement, measured by GPS</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4953585</rdommin>\n <rdommax>4953843</rdommax>\n <attrunit>Northing (meters), using WGS84 datum, UTM Zone 12N</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soil CO2 flux</attrlabl>\n <attrdef>Soil CO2 flux measured using West Systems Portable Fluxmeter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.5</rdommin>\n <rdommax>4606</rdommax>\n <attrunit>grams per square meter per day</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Soil temperature data</enttypl>\n <enttypd>Spreadsheet (*.csv) containing soil temperature data measured with thermocouple probes at Bison Flat in Norris Geyser Basin</enttypd>\n <enttypds>Jennifer Lewicki</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Date</attrlabl>\n <attrdef>Date soil temperature measurement was made</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10/5/2016</rdommin>\n <rdommax>10/6/2016</rdommax>\n <attrunit>Date (month/day/year)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Easting</attrlabl>\n <attrdef>Easting of soil temperature measurement, measured by GPS</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>523283</rdommin>\n <rdommax>523552</rdommax>\n <attrunit>Easting (meters), using WGS84 datum, UTM Zone 12N</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Northing</attrlabl>\n <attrdef>Northing of soil temperature measurement, measured by GPS</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4953599</rdommin>\n <rdommax>4953843</rdommax>\n <attrunit>Northing (meters), using WGS84 datum, UTM Zone 12N</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soil temperature at 5 cm depth</attrlabl>\n <attrdef>Soil temperature measured at 5 cm depth using a thermocouple probe</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4.5</rdommin>\n <rdommax>79.4</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soil temperature at 20 cm depth</attrlabl>\n <attrdef>Soil temperature measured at 20 cm depth using a thermocouple probe</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5.5</rdommin>\n <rdommax>88.1</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soil temperature at 30 cm depth</attrlabl>\n <attrdef>Soil temperature measured at 30 cm depth using a thermocouple probe</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5.7</rdommin>\n <rdommax>89.8</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soil temperature at 40 cm depth</attrlabl>\n <attrdef>Soil temperature measured at 40 cm depth using a thermocouple probe</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5.1</rdommin>\n <rdommax>91.7</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soil temperature at 50 cm depth</attrlabl>\n <attrdef>Soil temperature measured at 50 cm depth using a thermocouple probe</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>7.4</rdommin>\n <rdommax>93</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Multi-GAS data</enttypl>\n <enttypd>Spreadsheet (*.csv) containing gas mixing ratio and meteorological parameter data measured by Multi-GAS station (12 N 523415 4953683) at Bison Flat in Norris Geyser Basin</enttypd>\n <enttypds>Peter Kelly</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Date</attrlabl>\n <attrdef>Date Multi-GAS station measurements were made</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5/14/2016</rdommin>\n <rdommax>10/4/2016</rdommax>\n <attrunit>Date (month/day/year)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Time</attrlabl>\n <attrdef>Time Multi-GAS station measurements were made</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>00:00:00</rdommin>\n <rdommax>23:59:59</rdommax>\n <attrunit>Time in UTC (hour:minute:second)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Status flag</attrlabl>\n <attrdef>Numerical indicator of the operational state of the Multi-GAS station</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>-2</edomv>\n <edomvd>Gas sensors off</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>-1</edomv>\n <edomvd>Gas sensors warming up</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>Baseline check for gas sensors</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Sampling</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2</edomv>\n <edomvd>Sensors settling prior to sampling</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>4</edomv>\n <edomvd>H2S sensor verification</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>6</edomv>\n <edomvd>CO2 and SO2 sensor verification</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Instrument temperature</attrlabl>\n <attrdef>Internal temperature of the Multi-GAS instrument from Campbell Scientific CR1000 datalogger thermistor</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-55</rdommin>\n <rdommax>85</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Air relative humidity</attrlabl>\n <attrdef>Relative humidity of ambient air at Multi-GAS station from Vaisala HMP60 sensor</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Air pressure</attrlabl>\n <attrdef>Ambient pressure at Multi-GAS station from Phidgets 1141 Absolute Air Pressure Sensor</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>150</rdommin>\n <rdommax>1150</rdommax>\n <attrunit>hectopascals</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample pressure</attrlabl>\n <attrdef>Pressure in the sample line of the Multi-GAS instrument from Phidgets 1141 Absolute Air Pressure Sensor</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>150</rdommin>\n <rdommax>1150</rdommax>\n <attrunit>hectopascals</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Mean horizontal wind speed</attrlabl>\n <attrdef>Wind speed at Multi-GAS station from Gill Windsonic 1 sonic anemometer</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>50</rdommax>\n <attrunit>meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Mean horizontal wind direction</attrlabl>\n <attrdef>Wind direction at Multi-GAS station from Gill Windsonic 1 sonic anemometer</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>359</rdommax>\n <attrunit>degrees from north</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>H2O mixing ratio</attrlabl>\n <attrdef>H2O mixing ratio by volume output reported by Licor 840A gas analyzer inside the Multi-GAS instrument. Automatically compensated for pressure and temperature.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>80000</rdommax>\n <attrunit>parts per million by volume</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CO2 mixing ratio</attrlabl>\n <attrdef>CO2 mixing ratio by volume output reported by Licor 840A gas analyzer inside the Multi-GAS instrument. Automatically compensated for pressure and temperature.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>5000</rdommax>\n <attrunit>parts per million by volume</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SO2 mixing ratio</attrlabl>\n <attrdef>SO2 mixing ratio by volume computed by applying an ideal gas correction to uncompensated SO2 sensor (City Technologies T3ST/F) inside the Multi-GAS instrument: SO2, ppmv = SO2,raw*(1013.25/Sample_Pressure)*[(Instrument_Temp+273.15)/298.15]</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>parts per million by volume</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>H2S mixing ratio</attrlabl>\n <attrdef>H2S mixing ratio by volume computed by applying an ideal gas correction to uncompensated H2S sensor (City Technologies T3H) inside the Multi-GAS instrument:\xc2\xa0H2S ppmv = H2Sraw*(1013.25/Sample_Pressure)*[(Instrument_Temp+273.15)/298.15]</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>100</rdommax>\n <attrunit>parts per million by volume</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Eddy covariance data</enttypl>\n <enttypd>Spreadsheet (*.csv) containing gas and heat flux and meteorological parameter data measured by LI-COR Eddy Covariance System (12 N 523419 4953699) at Bison Flat in Norris Geyser Basin</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Date</attrlabl>\n <attrdef>Date eddy covariance system measurements were made</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5/14/2016</rdommin>\n <rdommax>10/3/2016</rdommax>\n <attrunit>date (month/day/year)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Time</attrlabl>\n <attrdef>Time eddy covariance system measurements were made</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>00:00</rdommin>\n <rdommax>23:30</rdommax>\n <attrunit>Local time in MDT (hour:minute)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sensible heat flux</attrlabl>\n <attrdef>Thirty-minute average sensible heat flux measured by the eddy covariance system. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-107</rdommin>\n <rdommax>428</rdommax>\n <attrunit>watts per square meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Quality ranking for sensible heat flux</attrlabl>\n <attrdef>Quality ranking for sensible heat flux output by the eddy covariance system. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>High quality sensible heat flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Moderate quality sensible heat flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2</edomv>\n <edomvd>Poor quality sensible heat flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Latent heat flux</attrlabl>\n <attrdef>Thirty-minute average latent heat flux measured by the eddy covariance system. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>34</rdommin>\n <rdommax>708</rdommax>\n <attrunit>watts per square meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Quality ranking for latent heat flux</attrlabl>\n <attrdef>Quality ranking for latent heat flux output by the eddy covariance system. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>High quality latent heat flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Moderate quality latent heat flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2</edomv>\n <edomvd>Low quality latent heat flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CO2 flux</attrlabl>\n <attrdef>Thirty-minute average CO2 flux measured by the eddy covariance system. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-15</rdommin>\n <rdommax>233</rdommax>\n <attrunit>micromoles per square meter per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Quality ranking for CO2 flux</attrlabl>\n <attrdef>Quality ranking for CO2 flux output by the eddy covariance system. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>High quality CO2 flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Moderate quality CO2 flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2</edomv>\n <edomvd>Low quality CO2 flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>H2O flux</attrlabl>\n <attrdef>Thirty-minute average H2O flux measured by the eddy covariance system. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.8</rdommin>\n <rdommax>16</rdommax>\n <attrunit>millimoles per square meter per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Quality ranking for H2O flux</attrlabl>\n <attrdef>Quality ranking for H2O flux output by eddy covariance system. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>High quality H2O flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Moderate quality H2O flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2</edomv>\n <edomvd>Poor quality H2O flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Friction velocity</attrlabl>\n <attrdef>Thirty-minute average friction velocity output by the eddy covariance system. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.02</rdommin>\n <rdommax>1.29</rdommax>\n <attrunit>meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Monin-Obukhov length</attrlabl>\n <attrdef>Thirty-minute average Monin-Obukhov length output by the eddy covariance system. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-7940</rdommin>\n <rdommax>1548</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Wind speed variance in cross-wind direction</attrlabl>\n <attrdef>Thirty-minute average wind speed variance in cross-wind direction output by the eddy covariance system. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.02</rdommin>\n <rdommax>10.97</rdommax>\n <attrunit>square meters per square second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Air temperature</attrlabl>\n <attrdef>Thirty-minute average ambient air temperature at eddy covariance station from a LI-COR temperature sensor. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.2</rdommin>\n <rdommax>32.2</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Air pressure</attrlabl>\n <attrdef>Thirty-minute average ambient air pressure at eddy covariance station from Honeywell 1800 pressure sensor. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>762.4</rdommin>\n <rdommax>783.4</rdommax>\n <attrunit>hectopascals</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Mean horizontal wind speed</attrlabl>\n <attrdef>Thirty-minute average horizontal wind speed at eddy covariance station from Gill WindMaster Pro sonic anemometer. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.02</rdommin>\n <rdommax>7.54</rdommax>\n <attrunit>meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Mean horizontal wind direction</attrlabl>\n <attrdef>Thirty-minute average horizontal wind direction at eddy covariance station from Gill WindMaster Pro sonic anemometer. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>359</rdommax>\n <attrunit>degrees from north</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rainfall</attrlabl>\n <attrdef>Thirty-minute cumulative rainfall at eddy covariance station from Texas Instruments TR-525USW tipping bucket rain gage. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>5.59E-3</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soil moisture</attrlabl>\n <attrdef>Thirty-minute average soil moisture content at eddy covariance station from ThetaProbe ML2x soil moisture probe. "-9999" denotes value not calculated.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10</rdommin>\n <rdommax>34</rdommax>\n <attrunit>volume percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey - ScienceBase</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200826</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Jennifer L Lewicki</cntper>\n <cntorg>ALASKA REGION</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 434, 345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>650-329-4604</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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4. [Habitat and fish assemblages along four river mainstems in Ontario, Canada, 1997 to 2001, with supporting spatial data](/catalog/item/5afc91e1e4b0da30c1bc20ca)
5. [Habitat and fish assemblages along four river mainstems in Ontario, Canada, 1997 to 2001, Petawawa River Spatial Data](/catalog/folder/5b3148f3e4b040769c13fb60)
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## Dates
Publication Date2021-03-01Start Date1997End Date2001
## Citation
Carl, L.M., Sparks-Jackson, B.L., Munn, S.T., Esselman, P.C., and Wilson, C.C., 2021, Habitat and fish assemblages along four river mainstems in Ontario, Canada, 1997 to 2001, with supporting spatial data: U.S. Geological Survey data release, https://doi.org/10.5066/P9L1AYLW.
## Summary
This dataset includes two folders of spatial data associated with the Petawawa River. The folder Petawawa\_River includes five files: 1) The portion of the Ontario Integrated Hydrology Dataset Enchanced Watercouse in the river watershed, 2) the location of the study sites, 3) the delineated valley segments on the river mainstem, 4) the valley segment boundary locations, and 5) the watershed outline boundary. The folder Petawawa\_SiteCAT includes the upstream catchment area for each study site.
## Summary
This dataset includes two folders of spatial data associated with the Petawawa River. The folder Petawawa\_River includes five files: 1) The portion of the Ontario Integrated Hydrology Dataset Enchanced Watercouse in the river watershed, 2) the location of the study sites, 3) the delineated valley segments on the river mainstem, 4) the valley segment boundary locations, and 5) the watershed outline boundary. The folder Petawawa\_SiteCAT includes the upstream catchment area for each study site.
## Contacts
Point of Contact
:
[Leon M Carl](/catalog/catalogParty/show?partyId=1566)
Process Contact
:
[Beth L Sparks-Jackson](/catalog/catalogParty/show?partyId=72233)
Originator
:
[Leon M Carl](/catalog/catalogParty/show?partyId=1566),
[Beth L Sparks-Jackson](/catalog/catalogParty/show?partyId=72233),
[Steven T Munn](/catalog/catalogParty/show?partyId=66435),
[Peter C Esselman](/catalog/catalogParty/show?partyId=64287),
[Chris C Wilson](/catalog/catalogParty/show?partyId=Chris+C+Wilson)
Metadata Contact
:
[Beth L Sparks-Jackson](/catalog/catalogParty/show?partyId=72233)
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:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
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| Petawawa\_SupportingSpatialData\_20210128.xml<br>_Original FGDC Metadata_ | View | 16.59 KB | application/fgdc+xml |
| Petawawa\_River.zip | | 8.94 MB | application/zip |
## Purpose
These data are provided to facilitate future use and analyses of the Ontario Rivers dataset. For example, the site catchment files can be used to summarize additional catchment data for the study sites.
## [Map](/catalog/item/imap/5b3148f3e4b040769c13fb60)
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## Communities
- Great Lakes Science Center (GLSC)
## Tags
Theme
- [inlandWaters](/catalog/items?q=&filter=tags%3DinlandWaters "inlandWaters (inlandWaters, Theme, ISO 19115 Topic Category)")
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- [Ganaraska (river)](/catalog/items?q=&filter=tags%3DGanaraska+%28river%29 "Ganaraska (river) (Ganaraska (river), Place, Getty Thesaurus of Geographic Names)")
- [Ontario](/catalog/items?q=&filter=tags%3DOntario "Ontario (Ontario, Place, Common Geographic Areas)")
## Provenance
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Leon M. Carl</origin>\n <origin>Beth L. Sparks-Jackson</origin>\n <origin>Steven T. Munn</origin>\n <origin>Peter C. Esselman</origin>\n <origin>Chris C. Wilson</origin>\n <pubdate>20210301</pubdate>\n <title>Habitat and fish assemblages along four river mainstems in Ontario, Canada, 1997 to 2001, Petawawa River Spatial Data</title>\n <geoform>vector digital data</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9L1AYLW</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This dataset includes two folders of spatial data associated with the Petawawa River. The folder Petawawa_River includes five files: 1) The portion of the Ontario Integrated Hydrology Dataset Enchanced Watercouse in the river watershed, 2) the location of the study sites, 3) the delineated valley segments on the river mainstem, 4) the valley segment boundary locations, and 5) the watershed outline boundary. The folder Petawawa_SiteCAT includes the upstream catchment area for each study site.</abstract>\n <purpose>These data are provided to facilitate future use and analyses of the Ontario Rivers dataset. For example, the site catchment files can be used to summarize additional catchment data for the study sites.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>1997</begdate>\n <enddate>2001</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-79.1373</westbc>\n <eastbc>-77.1435</eastbc>\n <northbc>46.2026</northbc>\n <southbc>45.5161</southbc>\n </bounding>\n <descgeog>Petawawa River, Ontario, Canada</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>river systems</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5b3148f3e4b040769c13fb60</themekey>\n </theme>\n <place>\n <placekt>Common Geographic Areas</placekt>\n <placekey>Ontario</placekey>\n <placekey>Canada</placekey>\n </place>\n <place>\n <placekt>Getty Thesaurus of Geographic Names</placekt>\n <placekey>Ganaraska (river)</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Beth L Sparks-Jackson</cntper>\n <cntorg>U.S. Geological Survey, MIDCONTINENT REGION</cntorg>\n </cntperp>\n <cntpos>Fisheries Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>1451 Green Rd</address>\n <city>Ann Arbor</city>\n <state>MI</state>\n <postal>48105</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>734-994-3331</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Most of the funding for the large river sampling was provided to Leon Carl by the Ontario Ministry of Natural Resources. Additional funds for sampling the Trent River were provided to Leon Carl and Chris Wilson by the Trent Severn Waterway to the Watershed Science Centre at Trent University, Peterborough, ON. We are grateful to Scott Reid, Sarah Crabbe, Jason Barnucz, Steve Chong, Phil Anderson, and J.D. Whall Environmental Consultants for assisting with data collection, preparation, and preliminary analysis. Arthur Cooper calculated the dam fragmentation metrics.</datacred>\n <native>Microsoft Office Suite 2016, ArcGIS 10.4.1\nSpatialData Size: 9.156 MB (in zipped folder)</native>\n <crossref>\n <citeinfo>\n <origin>Beth L. Sparks-Jackson</origin>\n <origin>Peter C. Esselman</origin>\n <origin>Leon M. Carl</origin>\n <origin>Chris C. Wilson</origin>\n <pubdate>2021</pubdate>\n <title>A comparison of multiscale assessment of environmental and spatial influences on mainstem river fish communities in Canadian rivers</title>\n <geoform>publication</geoform>\n <othercit>Submitting for publication in Hydrobiologia</othercit>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Leon M. Carl</origin>\n <origin>Peter C. Esselman</origin>\n <origin>Beth L. Sparks-Jackson</origin>\n <origin>Chris C. Wilson</origin>\n <pubdate>2020</pubdate>\n <title>The species-area relationship for a highly fragmented temperate river system.</title>\n <geoform>publication</geoform>\n <othercit>Publication in Ecopshere is pending.</othercit>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>This metadata report describes a suite of spatial data. Please see each specific shapefile's metadata or associated source data for more information on attribute accuracy.</attraccr>\n </attracc>\n <logic>This metadata report describes a suite of spatial data. Please see each specific shapefile's metadata or associated source data for more information on logical consistency.</logic>\n <complete>Data are limited to the Ganaraska, Grand, Trent, and Petawawa rivers in Ontario, Canada. Locations of individual transects were not recorded (only the site location).</complete>\n <posacc>\n <horizpa>\n <horizpar>Since these data were collected between 1997 and 2001, GPS readings are not as precise as they are today. However, efforts were made to verify site locations (e.g. compared field measured river width with width from aerial photography, and matched notable river habitat and landmarks), and, as necessary, adjusted site locations to fall on river flow lines. Particular challenges with site locations are noted in the comments section of the site_info.csv file.</horizpar>\n </horizpa>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Ontario Natural Resources and Forestry</origin>\n <pubdate>20150530</pubdate>\n <title>Ontario Integrated Hydrology Data, version 2</title>\n <geoform>vector digital data</geoform>\n <othercit>The OIHD has been updated but the new reference manuals and online information generally applies to version 2 as well.</othercit>\n <onlink>https://data.ontario.ca/dataset/ontario-integrated-hydrology-data</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20121017</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>OIHD</srccitea>\n <srccontr>Used in many processing steps including site catchment delineation, site locations, and river distances.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Danielle K. Forsyth, Michigan DNR</origin>\n <pubdate>20160620</pubdate>\n <title>Great Lakes Hydrology Dataset</title>\n <geoform>vector digital data</geoform>\n <othercit>Great Lakes Hydrography Dataset: Forsyth, D, CM Riseng, KE Wehrly, LA Mason, J Gaiot, T Hollenhorst, CM Johnston, C Wyrzykowski, G Annis, C Castiglione, K Todd, M Robertson, DM Infante, L Wang, JE McKenna, G Whelan (2016) The Great Lakes Hydrography Dataset: consistent, binational watershedsfor the Laurentian Great Lakes Basin. Journal of the American Water Resources Association</othercit>\n <onlink>http://onlinelibrary.wiley.com/doi/10.1111/1752-1688.12435/abstract</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20160620</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>\n </srccurr>\n </srctime>\n <srccitea>GLHD</srccitea>\n <srccontr>Provided watershed boundary polygons for the Ganaraska, Grand, and Trent rivers.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Natural Resources and Forestry</origin>\n <pubdate>20200717</pubdate>\n <title>Quaternary watershed boundaries (of Canada)</title>\n <geoform>vector digital data</geoform>\n <onlink>https://data.ontario.ca/dataset/quaternary-watershed-boundaries</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20100101</begdate>\n <enddate>20200702</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>Quaternary watersheds</srccitea>\n <srccontr>Provided watershed boundary polygon for the Petawawa River.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>VALLEY SEGMENTS and SITES: To locate potential sampling sites, each river was first delineated into valley segments. A valley segment was defined as a section of river that is relatively uniform in character. Valley segments may begin or end at a dam, a confluence with a major tributary, a widening of the river into a more lacustrine environment, or a change in surficial geology. After valley segments were delineated, each valley segment was divided into 600-meter long sites, with a minimum of 100 m between sites. Within each valley segment five sites were randomly chosen for sampling and if the segment could not accommodate five sites, all sites within the valley segment were sampled. As the goal was to characterize riverine habitat in the four study rivers, lacustrine sections of river were not sampled. In all, the 112 sampling sites included 27 sites along a 77-km length of the Grand River, 15 sites along a 31-km length of the Ganaraska River, 54 sites along a 165-km length of the Trent River, and 16 along a 36-km length of the Petawawa River. In this dataset, sites are numbered consecutively beginning with the upstream-most site and named with a GA, GD, T, or P (e.g. GA3, GD15, T36, P10, etc.) to indicate river. Valley segments are also numbered consecutively beginning with the upstream-most valley segment.\n\nOntario Integrated Hydrology Data Enhanced Watercourse (OIHD_EWC): Clipped (using Geoprocessing, Clip tool) the Ontario Integrated Hydrology Dataset Enhanced Watercourse with the appropriate river watershed outline, removing orphan line segments, and updating shape lengths as necessary.\n\nRIVER WATERSHED: Extracted from the Great Lakes Hydrology Dataset (Ganaraska, Grand, and Trent rivers) or the Quaternary watershed boundaries of Canada (Petawawa River)\n\nSITE CATCHMENTS: Catchment and valley variables for each site were developed with consistent procedures across sites and rivers. We delineated catchments (all areas that drain to a given location) for each site using the Hydrology toolset in the Spatial Analyst toolbox in ArcGIS 10.4.1 (ESRI, 2015) and the Ontario Integrated Hydrography Dataset (OIHD, OMNR 2012). Specifically catchments were defined by snapping sample sites as pour points, creating the flow accumulation grid, delineating watersheds (site locations were adjusted if necessary to snap to areas of highest flow accumulation), and, if necessary, simplifying edges of catchments. The spatial extents of the watershed outline (see above paragraph) will and should differ from the spatial extents of all study site catchments. The watershed outline includes the entire drainage area for the river while the site catchments include only the drainage area of the particular study site.</procdesc>\n <srcused>OIHD</srcused>\n <srcused>GLHD</srcused>\n <srcused>Quaternary watersheds</srcused>\n <procdate>20170501</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Beth L Sparks-Jackson</cntper>\n <cntorg>U.S. Geological Survey, MIDWEST REGION</cntorg>\n </cntperp>\n <cntpos>Fisheries Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>1451 Green Rd</address>\n <city>Ann Arbor</city>\n <state>MI</state>\n <postal>48105</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>734-994-3331 ext 288</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>NAD 1983 Ontario MNR Lambert</mapprojn>\n <lambertc>\n <stdparll>44.5</stdparll>\n <stdparll>53.5</stdparll>\n <longcm>-85.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>930000.0</feast>\n <fnorth>6430000.0</fnorth>\n </lambertc>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.000000008004996665533783</absres>\n <ordres>0.000000008004996665533783</ordres>\n </coordrep>\n <plandu>meters</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>North American Datum of 1983 (NAD 83)</horizdn>\n <ellips>Geodetic Reference System 1980</ellips>\n <semiaxis>6378137.000000</semiaxis>\n <denflat>298.257222</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <overview>\n <eaover>The data tables associated with each shapefile varies. Metadata explaining the entities and attributes is provided with each shapefile.</eaover>\n <eadetcit>NA</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9L1AYLW</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20210301</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Beth L Sparks-Jackson</cntper>\n <cntorg>U.S. Geological Survey, MIDWEST REGION</cntorg>\n </cntperp>\n <cntpos>Fisheries Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>1451 Green Rd</address>\n <city>Ann Arbor</city>\n <state>MI</state>\n <postal>48105</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>734-994-3331</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
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## Dates
Publication Date2021-04-21Start Date2012End Date2112
## Citation
Sleeter, R., 2021, Model parameters and output of net ecosystem carbon balance for the Great Dismal Swamp, Virginia and North Carolina, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P970W305.
## Summary
In this study, we determined the carbon balance in the Great Dismal Swamp, a large forested peatland in the southeastern USA, which has been drained for over two hundred years and now is being restored through hydrologic management. We modeled future net ecosystem carbon balance over 100 years (2012 to 2112) using in situ field observations paired with simulations of water-table depth. The three scenarios used in the model were baseline conditions, flooded/wet conditions, and drained/dry conditions, which represent a range of potential management actions and climate conditions at the Great Dismal Swamp. This U.S. Geological Survey Data Release provides the modeled output estimating the net ecosystem carbon balance, on an annual time-step, \[...\]
## Summary
In this study, we determined the carbon balance in the Great Dismal Swamp, a large forested peatland in the southeastern USA, which has been drained for over two hundred years and now is being restored through hydrologic management. We modeled future net ecosystem carbon balance over 100 years (2012 to 2112) using in situ field observations paired with simulations of water-table depth. The three scenarios used in the model were baseline conditions, flooded/wet conditions, and drained/dry conditions, which represent a range of potential management actions and climate conditions at the Great Dismal Swamp. This U.S. Geological Survey Data Release provides the modeled output estimating the net ecosystem carbon balance, on an annual time-step, from 2012 through 2112, for each scenario. The U.S. Geological Survey modeling framework is referred to as the Land Use and Carbon Scenario Simulator (LUCAS), which uses a state-and-transition simulation model coupled with a carbon stock-flow model. The model operates within an open source software environment (SyncroSim) to annually track changes in vegetation (i.e., cedar, maple-gum and pine-pocosin) and their corresponding carbon stocks. The modeled output for each scenario is provided in a tabular format (csv).
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[Rachel Sleeter](/catalog/catalogParty/show?partyId=9562)
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[Rachel Sleeter](/catalog/catalogParty/show?partyId=9562)
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| | | | |
| --- | --- | --- | --- |
| GDS\_ModelParameters\_Output.xml<br>“Data Release Overview”<br>_Original FGDC Metadata_ | View | 90.84 KB | application/fgdc+xml |
| Baseline\_Scenario\_Output.csv<br>“Model Output: Baseline Scenario” | | 8.88 KB | text/csv |
| Drained\_Dry\_Scenario\_Output.csv<br>“Model Output: Drained-Dry Scenario” | | 9.37 KB | text/csv |
| Flooded\_Wet\_Scenario\_Output.csv<br>“Model Output: Flooded-Wet Scenario” | | 8.54 KB | text/csv |
| Baseline\_Scenario\_FlowPathways.csv<br>“Model Input Carbon Flow Pathways: Baseline Scenario” | | 19.08 KB | text/csv |
| Baseline\_Scenario\_StateAttributes.csv<br>“Model Input Carbon Stocks: Baseline Scenario” | | 156.23 KB | text/csv |
| Drained\_Dry\_Scenario\_FlowPathways.csv<br>“Model Input Carbon Flow Pathways: Drained-Dry Scenario” | | 19.83 KB | text/csv |
| Drained\_Dry\_Scenario\_StateAttributes.csv<br>“Model Input Carbon Stocks: Drained-Dry Scenario” | | 156.23 KB | text/csv |
| Flooded\_Wet\_Scenario\_FlowPathways.csv<br>“Model Input Carbon Flow Pathways: Flooded-Wet Scenario” | | 19.83 KB | text/csv |
| Flooded\_Wet\_Scenario\_StateAttributes.csv<br>“Model Input Carbon Stocks: Flooded-Wet Scenario” | | 156.23 KB | text/csv |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Sleeter, R.R., 2021, Modeling the Impacts of Hydrology and Management on Carbon Balance at the Great Dismal Swamp, Virginia and North Carolina, USA: Geophysical Monograph Series, p. 385–400, https://doi.org/10.1002/9781119639305.ch21. | [https://doi.org/10.1002/9781119639305.ch21](https://doi.org/10.1002/9781119639305.ch21 "https://doi.org/10.1002/9781119639305.ch21") |
## Purpose
The U.S. Geological Survey conducted a multi-year field study from the year 2014 to 2019 to estimate carbon storage, carbon flux, and annual soil carbon sequestration rates within various plant communities at the Great Dismal Swamp National Wildlife Refuge (GDS). In order to demonstrate the relationships between the ecosystem dynamics observed and land management activities, an integrated modeling structure was developed. The U.S. Geological Survey also conducted a separate hydrologic assessment providing baseline and future water budget scenarios based on past climate conditions and different degrees of hydrologic management. Due to the strong correlation between hydrologic regime, (i.e., water table levels from seasonal climate and hydrologic management) and annual soil carbon flux, various model parameters related to water table depth and water-management strategies have been integrated into the ecosystem carbon balance model for the GDS. The added hydrologic component (i.e., grid-based water table levels under different scenarios) provides a wall-to-wall mechanism, or proxy variable, for scaling-up the U.S. Geological Survey carbon stock and flux field data to the entire swamp. To assess these dynamic relationships using in situ field observations paired with simulations of water table depth, we modeled and estimated the net ecosystem carbon balance at the GDS for a 100-year time period (2012 to 2112). These modeled estimates can be used to inform hydrologic management at the GDS National Wildlife Refuge.
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## Spatial Services
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## Associated Items
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## Provenance
## Additional Information
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| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P970W305 |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Rachel Sleeter</origin>\n <pubdate>20210421</pubdate>\n <title>Model parameters and output of net ecosystem carbon balance for the Great Dismal Swamp, Virginia and North Carolina, USA</title>\n <geoform>spreadsheet</geoform>\n <onlink>https://doi.org/10.5066/P970W305</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Rachel Sleeter</origin>\n <pubdate>2021</pubdate>\n <title>Modeling the Impacts of Hydrology and Management on Carbon Balance at the Great Dismal Swamp, Virginia and North Carolina, USA</title>\n <geoform>publication</geoform>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>In this study, we determined the carbon balance in the Great Dismal Swamp, a large forested peatland in the southeastern USA, which has been drained for over two hundred years and now is being restored through hydrologic management. We modeled future net ecosystem carbon balance over 100 years (2012 to 2112) using in situ field observations paired with simulations of water-table depth. The three scenarios used in the model were baseline conditions, flooded/wet conditions, and drained/dry conditions, which represent a range of potential management actions and climate conditions at the Great Dismal Swamp. This U.S. Geological Survey Data Release provides the modeled output estimating the net ecosystem carbon balance, on an annual time-step, from 2012 through 2112, for each scenario. The U.S. Geological Survey modeling framework is referred to as the Land Use and Carbon Scenario Simulator (LUCAS), which uses a state-and-transition simulation model coupled with a carbon stock-flow model. The model operates within an open source software environment (SyncroSim) to annually track changes in vegetation (i.e., cedar, maple-gum and pine-pocosin) and their corresponding carbon stocks. The modeled output for each scenario is provided in a tabular format (csv).</abstract>\n <purpose>The U.S. Geological Survey conducted a multi-year field study from the year 2014 to 2019 to estimate carbon storage, carbon flux, and annual soil carbon sequestration rates within various plant communities at the Great Dismal Swamp National Wildlife Refuge (GDS). In order to demonstrate the relationships between the ecosystem dynamics observed and land management activities, an integrated modeling structure was developed. The U.S. Geological Survey also conducted a separate hydrologic assessment providing baseline and future water budget scenarios based on past climate conditions and different degrees of hydrologic management. Due to the strong correlation between hydrologic regime, (i.e., water table levels from seasonal climate and hydrologic management) and annual soil carbon flux, various model parameters related to water table depth and water-management strategies have been integrated into the ecosystem carbon balance model for the GDS. The added hydrologic component (i.e., grid-based water table levels under different scenarios) provides a wall-to-wall mechanism, or proxy variable, for scaling-up the U.S. Geological Survey carbon stock and flux field data to the entire swamp. To assess these dynamic relationships using in situ field observations paired with simulations of water table depth, we modeled and estimated the net ecosystem carbon balance at the GDS for a 100-year time period (2012 to 2112). These modeled estimates can be used to inform hydrologic management at the GDS National Wildlife Refuge.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2012</begdate>\n <enddate>2112</enddate>\n </rngdates>\n </timeinfo>\n <current>observed</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-76.5829</westbc>\n <eastbc>-76.3275</eastbc>\n <northbc>36.7917</northbc>\n <southbc>36.4124</southbc>\n </bounding>\n <descgeog>World</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n <themekey>environment</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>scenarios</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>hydrology</themekey>\n <themekey>carbon cycling</themekey>\n <themekey>ecosystem management</themekey>\n </theme>\n <theme>\n <themekt>Lithologic classification of geologic map units</themekt>\n <themekey>peat</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:601de12bd34e94a4b9fc304b</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Great Dismal Swamp</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Rachel Sleeter</cntper>\n <cntorg>U.S. Geological Survey, WATER</cntorg>\n </cntperp>\n <cntpos>Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>253-313-3310</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>U.S. Geological Survey, U.S. Fish and Wildlife Service</datacred>\n <native>SyncroSim Software Framework. http://www.apexrms.com/, Apex Resource Management Solutions. Version 2.1.17. ST-Sim is an open-source SyncroSim Package that lets you develop and run spatially-explicit, stochastic state-and-transition simulation models of landscape change. Both ST-Sim and SyncroSim have been designed and developed by ApexRMS.</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>The values in the dataset reflect a range of possible future carbon stock/flow conditions under different hydrologic and management scenarios; therefore, the values cannot be tested for accuracy. The model was calibrated with published field data collected at the site, and the model parameters and conditions were developed to simulate realistic ecosystem functions. All of the source data used has been published.</attraccr>\n </attracc>\n <logic>Yes, the modeled output corresponds to the expected data ranges seen in existing published data for this ecosystem type and region. See corresponding publication for more information.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has not been conducted.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Jack R. Eggleston</origin>\n <origin>Jeremy D. Decker</origin>\n <origin>Jason S. Finkelstein</origin>\n <origin>Frederic C. Wurster</origin>\n <origin>Paul E. Misut</origin>\n <origin>Luke P. Sturtevant</origin>\n <origin>Gary K. Speiran</origin>\n <pubdate>2018</pubdate>\n <title>Hydrologic conditions and simulation of groundwater and surface water in the Great Dismal Swamp of Virginia and North Carolina</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/sir20185056</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2018</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Hydrologic conditions and simulation of water table depth for the GDS</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Rachel Sleeter</origin>\n <origin>Benjamin M. Sleeter</origin>\n <origin>Brianna Williams</origin>\n <origin>Dianna Hogan</origin>\n <origin>Todd Hawbaker</origin>\n <origin>Zhiliang Zhu</origin>\n <pubdate>20170125</pubdate>\n <title>A carbon balance model for the great dismal swamp ecosystem</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Carbon Balance and Management</sername>\n <issue>vol. 12, issue 1</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Springer Science and Business Media LLC</publish>\n </pubinfo>\n <onlink>https://doi.org/10.1186/s13021-017-0070-4</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>1985</begdate>\n <enddate>2015</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Journal Article - Historic Simulation of Carbon Balance at the GDS</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Rachel Sleeter</origin>\n <pubdate>2017</pubdate>\n <title>Historic Simulation of Net Ecosystem Carbon Balance for the Great Dismal Swamp</title>\n <geoform>dataset</geoform>\n <pubinfo>\n <pubplace>https://www.sciencebase.gov</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/f7kw5d6d</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>1985</begdate>\n <enddate>2015</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Historic Simulation of Carbon Balance at the GDS - Data Release</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Todd J Hawbaker</origin>\n <origin>Jamie Duberstein</origin>\n <pubdate>2019</pubdate>\n <title>Great Dismal Swamp field measurements for aboveground and belowground biomass</title>\n <geoform>dataset</geoform>\n <pubinfo>\n <pubplace>https://www.sciencebase.gov</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/p9r3q93s</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2014</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>Aboveground and Belowground Biomass Stocks measured at the GDS - Data Release</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Laurel Gutenberg</origin>\n <origin>Rachel Sleeter</origin>\n <pubdate>2018</pubdate>\n <title>Soil flux (CO2, CH4), soil temperature, and soil moisture measurements at the Great Dismal Swamp National Wildlife Refuge (2015 - 2017)</title>\n <geoform>dataset</geoform>\n <pubinfo>\n <pubplace>https://www.sciencebase.gov</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/p9kbrso4</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>2015</begdate>\n <enddate>2017</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>Soil flux (CO2, CH4)</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Judith Z. Drexler</origin>\n <origin>Christopher C. Fuller</origin>\n <origin>James Orlando</origin>\n <origin>Antonia Salas</origin>\n <origin>Frederic C. Wurster</origin>\n <origin>Jamie A. Duberstein</origin>\n <pubdate>20171017</pubdate>\n <title>Estimation and Uncertainty of Recent Carbon Accumulation and Vertical Accretion in Drained and Undrained Forested Peatlands of the Southeastern USA</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Journal of Geophysical Research: Biogeosciences</sername>\n <issue>vol. 122, issue 10</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>American Geophysical Union (AGU)</publish>\n </pubinfo>\n <othercit>ppg. 2563-2579</othercit>\n <onlink>https://doi.org/10.1002/2017JG003950</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>2015</begdate>\n <enddate>2017</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>Soil carbon density, vertical accretion and bulk density</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>1994</pubdate>\n <title>USGS Water Data for the Nation</title>\n <geoform>dataset</geoform>\n <pubinfo>\n <pubplace>https://www.sciencebase.gov</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/f7p55kjn</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2015</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>NWIS Groundwater Well Readings</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Benjamin Sleeter</origin>\n <origin>Jinxun Liu</origin>\n <origin>Colin Daniel</origin>\n <origin>Leonardo Frid</origin>\n <origin>Zhiliang Zhu</origin>\n <pubdate>2015</pubdate>\n <title>An integrated approach to modeling changes in land use, land cover, and disturbance and their impact on ecosystem carbon dynamics: a case study in the Sierra Nevada Mountains of California</title>\n <edition>Volume 2, Issue 3</edition>\n <geoform>publication</geoform>\n <serinfo>\n <sername>AIMS Environmental Science</sername>\n <issue>2(3): 577-606</issue>\n </serinfo>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>AIMS Press</publish>\n </pubinfo>\n <onlink>http://www.aimspress.com/article/10.3934/environsci.2015.3.577</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2015</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>LUCAS Model Framework</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Apex Resource Management Solutions</origin>\n <pubdate>2016</pubdate>\n <title>SyncroSim Software Framework</title>\n <geoform>application/service</geoform>\n <onlink>http://www.apexrms.com/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2016</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Model Software - SyncroSim Software Framework</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>The model partitions the landscape into a spatial grid of 100 by 100 m (1-ha) simulation cells. Simulations were run for 100 years on an annual time-step, representing future carbon storage conditions. Each simulation cell is defined by a unique set of state variables that characterize landscape conditions. For this model, the first state variable consists of three land-cover/vegetation types (state classes) intersected by two hydrologic zones (strata). The hydrologic zones depict a combination of climate and management conditions and are represented by a spatial grid, where every cell is defined by its WT-depth. The baseline, wet and dry scenarios are only representative of the resulting WT from precipitation. The Flooded/Wet and Drained/Dry scenarios demonstrate what the WT-depth would look like with management added. To convert these spatial grids into binary strata files (i.e., wet or dry cells) for the model, the cells that show inundation were set to \xe2\x80\x9c1\xe2\x80\x9d and the cells where WT-depth is below the land surface were set to \xe2\x80\x9c2\xe2\x80\x9d. The second state variable is the age of each cell. All cells with state variables that are associated with forest vegetation are assigned an age (i.e., how old the tree is), which is tracked in annual time-steps for the duration of the model simulation. \nTransitions are used in the model to signify conversions from one state class to another within an annual time-step. Transition pathways are defined as probabilistic conversions simulated within the model. The transition pathways we identify are alternative succession, fire, large storms (e.g., hurricanes), and management actions. Fire is parameterized by using severity (high, medium, low), frequency, and size. These attributes are linked to a historic distribution of all fires that occurred in the GDS, and the relative attributes. When the model runs, each simulation year randomly determines if there was a fire, with size and severity attached, or no fire, from the historic distribution. Alternative succession parameters characterize vegetation regeneration in the event of tree mortality, fire, or tree blow-down from a windstorm. In disturbed conditions, native species like cedar have a lower probability of natural regeneration and are likely to transition to maple-gum.</procdesc>\n <srcused>Historic Simulation of Carbon Balance at the GDS - Data Release</srcused>\n <srcused>Journal Article - Historic Simulation of Carbon Balance at the GDS</srcused>\n <procdate>2020</procdate>\n </procstep>\n <procstep>\n <procdesc>The carbon stock-flow model runs in tandem with the state-and-transition model to track annual growth (net primary productivity (NPP) of above and belowground live biomass), litterfall (annual flux of leaf litter and dead root), mortality (annual mortality rate for trees), humification (annual flux for above and belowground dead biomass transferring to soil), peat accumulation (annual flux for carbon burial from upper peat to deep peat), leaching (lateral flux from upper peat to the aquatic pool) and emissions (annual flux of carbon to the atmosphere from leaf litter, deadwood, dead root, and upper peat 0 \xe2\x80\x93 40 cm). The carbon stock-flow model starts with an initial stock amount for each biomass pool and tracks the stock-change as measurement for each simulation cell using a gain-loss method. There is an annual flow rate, also referred to as annual flux, associated with each carbon \xe2\x80\x9cfrom-to\xe2\x80\x9d transfer (e.g., live tree to downed deadwood or upper peat to atmosphere). The examples given signify flow rates for mortality and emissions, respectively. Due to the hydrologic stratification of the landscape (e.g., wet and dry cells), and the use of proxy variables to represent carbon stock and flow rates by forest community to scale-up, we have two sets of flow rate parameters. The carbon stock types that have been identified and modeled for this application include live wood, live leaf, live root, deadwood, leaf litter, dead root, upper peat and deep peat. The two peat stocks, upper and deep peat, have different values for wet and dry conditions. There are thirty carbon flow types for each forest community, fifteen for wet cells and fifteen for dry cells. These carbon flow types include: Aboveground Leaf NPP, Aboveground Wood NPP, Belowground Root NPP, Leaf Litterfall, Mortality, Root Litterfall, Leaf Litter Humification, Deadwood Humification, Root Humification, Upper Peat to Deep Peat Burial, Leaching, Leaf Litter Emissions, Wood Litter Emissions, Dead Root Litter Emissions and Upper Peat Soil Emissions.</procdesc>\n <srcused>Historic Simulation of Carbon Balance at the GDS - Data Release</srcused>\n <srcused>Journal Article - Historic Simulation of Carbon Balance at the GDS</srcused>\n <srcused>Hydrologic conditions and simulation of water table depth for the GDS</srcused>\n <srcused>Aboveground and Belowground Biomass Stocks measured at the GDS - Data Release</srcused>\n <srcused>Soil flux (CO2, CH4)</srcused>\n <srcused>Soil carbon density, vertical accretion and bulk density</srcused>\n <srcused>NWIS Groundwater Well Readings</srcused>\n <srcused>LUCAS Model Framework</srcused>\n <procdate>2020</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Baseline_Scenario.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Timestep_yr</attrlabl>\n <attrdef>Annual Timestep Modeled</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2012</rdommin>\n <rdommax>2112</rdommax>\n <attrunit>years</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>AWC_area_ha</attrlabl>\n <attrdef>Atlantic White Cedar - Area in hectares</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1233.5</rdommin>\n <rdommax>1561.0</rdommax>\n <attrunit>hectares</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MG_area_ha</attrlabl>\n <attrdef>Maple Gum - Area in hectares</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>32246.0</rdommin>\n <rdommax>34760.4</rdommax>\n <attrunit>hectares</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PP_area_ha</attrlabl>\n <attrdef>Pine Pocosin - Area in hectares</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5973.5</rdommin>\n <rdommax>7840.0</rdommax>\n <attrunit>hectares</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Growth_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Growth as Net Primary Productivity</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>398576.238</rdommin>\n <rdommax>399263.449</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rh_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Heterotrophic Respiration</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>342698.2622</rdommin>\n <rdommax>952303.0489</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fire_Emissions_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Emissions from Fire (excluding Catastrophic Fire Event)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>38957.36</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CatFire_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Emissions from Catastrophic Fire</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>574772.0</rdommin>\n <rdommax>574772.0</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TotalEmissions_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Emissions - Total</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>342698.26</rdommin>\n <rdommax>1541062.59</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NECB_WithCat_MgC_yr</attrlabl>\n <attrdef>Annual Net Ecosystem Carbon Balance (including Catastrophic Fire event)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-1142059.17</rdommin>\n <rdommax>56534.11</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NECB_NoCat_MgC_yr</attrlabl>\n <attrdef>Annual Net Ecosystem Carbon Balance (excluding Catastrophic Fire event)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-567287.17</rdommin>\n <rdommax>56534.11</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Flooded_Wet_Scenario.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Timestep_yr</attrlabl>\n <attrdef>Annual Timestep Modeled</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2012</rdommin>\n <rdommax>2112</rdommax>\n <attrunit>years</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>AWC_area_ha</attrlabl>\n <attrdef>Atlantic White Cedar - Area in hectares</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1477.8</rdommin>\n <rdommax>1561.0</rdommax>\n <attrunit>hectares</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MG_area_ha</attrlabl>\n <attrdef>Maple Gum - Area in hectares</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>32246.0</rdommin>\n <rdommax>33021.4</rdommax>\n <attrunit>hectares</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PP_area_ha</attrlabl>\n <attrdef>Pine Pocosin - Area in hectares</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>7287.8</rdommin>\n <rdommax>7840.0</rdommax>\n <attrunit>hectares</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Growth_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Growth as Net Primary Productivity</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>399163.68</rdommin>\n <rdommax>399673.35</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rh_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Heterotrophic Respiration</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>336514.4529</rdommin>\n <rdommax>426082.7903</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FireEmissions_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Emissions from Fire (excluding Catastrophic Fire Events)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>17651.21</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CatFireEmissions_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Emissions from Catastrophic Fire</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>75957</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TotalEmissions_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Emissions - Total</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>336514.45</rdommin>\n <rdommax>509732.85</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NECB_WithCat_MgC_yr</attrlabl>\n <attrdef>Annual Net Ecosystem Carbon Balance (including Catastrophic Fire event)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-110409.4</rdommin>\n <rdommax>63126.83</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NECB_NoCat_MgC_yr</attrlabl>\n <attrdef>Annual Net Ecosystem Carbon Balance (excluding Catastrophic Fire event)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-34452.4</rdommin>\n <rdommax>63126.83</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Drained_Dry_Scenario.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Timestep_yr</attrlabl>\n <attrdef>Annual Timestep Modeled</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2012</rdommin>\n <rdommax>2112</rdommax>\n <attrunit>years</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>AWC_area_ha</attrlabl>\n <attrdef>Atlantic White Cedar - Area in hectares</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1113.4</rdommin>\n <rdommax>1561.0</rdommax>\n <attrunit>hectares</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MG_area_ha</attrlabl>\n <attrdef>Maple Gum - Area in hectares</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>32246.0</rdommin>\n <rdommax>35634.6</rdommax>\n <attrunit>hectares</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PP_area_ha</attrlabl>\n <attrdef>Pine Pocosin - Area in hectares</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5572.4</rdommin>\n <rdommax>7840.0</rdommax>\n <attrunit>hectares</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Growth_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Growth as Net Primary Productivity</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>398865.6245</rdommin>\n <rdommax>401907.941</rdommax>\n <attrunit>megagrams</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rh_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Heterotrophic Respiration</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>347828.1853</rdommin>\n <rdommax>1353516.717</rdommax>\n <attrunit>megagrams</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FireEmissions_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Emissions from Fire (excluding Catastrophic Fire Events)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>65446.7003</rdommax>\n <attrunit>megagrams</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CatFire_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Emissions from Catastrophic Fire</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>956172</rdommin>\n <rdommax>956172</rdommax>\n <attrunit>megagrams</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TotalEmissions_MgC_yr</attrlabl>\n <attrdef>Annual Carbon Emissions - Total</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>347828.1853</rdommin>\n <rdommax>1362144.863</rdommax>\n <attrunit>megagrams</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NECB_WithCatFire_MgC_yr</attrlabl>\n <attrdef>Annual Net Ecosystem Carbon Balance (including Catastrophic Fire event)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-1918406.327</rdommin>\n <rdommax>54031.7482</rdommax>\n <attrunit>megagrams</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NECB_NoCatFire_MgC_yr</attrlabl>\n <attrdef>Annual Net Ecosystem Carbon Balance (excluding Catastrophic Fire event)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-962234.3272</rdommin>\n <rdommax>54031.7482</rdommax>\n <attrunit>megagram</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Baseline_Scenario_StateAttributes.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Moisture Zone</attrlabl>\n <attrdef>Hydrologic Strata for each Vegetation Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Dry</edomv>\n <edomvd>Cells where water table height is below land surface elevation</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Wet</edomv>\n <edomvd>Cells where water table height is above land surface elevation - Inundated cells</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>State Class</attrlabl>\n <attrdef>Vegetation Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Atlantic White Cedar:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Cypress Gum:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Maple Gum:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Pine Pocosin:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>State Attribute Type</attrlabl>\n <attrdef>Carbon Stock Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ADJ-AWC</edomv>\n <edomvd>Adjacency multipliers to capture the effect of a Atlantic White Cedar cell's neighborhood on transition probabilities</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Dead Root</edomv>\n <edomvd>Carbon stock (biomass pool) Belowground Dead Root</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Deadwood</edomv>\n <edomvd>Carbon stock (biomass pool) Aboveground Deadwood</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Leaf Litter</edomv>\n <edomvd>Carbon stock (biomass pool) Aboveground Leaf Litter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Live Leaf</edomv>\n <edomvd>Carbon stock (biomass pool) Aboveground Live Leaf</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Live Root</edomv>\n <edomvd>Carbon stock (biomass pool) Belowground Live Root</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Live Wood</edomv>\n <edomvd>Carbon stock (biomass pool) Aboveground Live Wood</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NPP</edomv>\n <edomvd>Net Primary Productivity</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ADJ-CG</edomv>\n <edomvd>Adjacency multipliers to capture the effect of a Cypress Gum cell's neighborhood on transition probabilities</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Deep Peat</edomv>\n <edomvd>Carbon stock (biomass pool) Belowground Deep Peat (40-100 cm)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Peat</edomv>\n <edomvd>Carbon stock (biomass pool) Belowground Peat (0 - 40 cm)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ADJ-PP</edomv>\n <edomvd>Adjacency multipliers to capture the effect of a Pine Pocosin cell's neighborhood on transition probabilities</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Age Min</attrlabl>\n <attrdef>Biomass Age (in years)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>267</rdommax>\n <attrunit>years</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Carbon Stock Amount</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>638.17</rdommax>\n <attrunit>megagrams of carbon per hectare</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Baseline_Scenario_FlowPathways.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>From Moisture Zone</attrlabl>\n <attrdef>Hydrologic Strata for each Vegetation Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Dry</edomv>\n <edomvd>Cells where water table height is below land surface elevation</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Wet</edomv>\n <edomvd>Cells where water table height is above land surface elevation - Inundated cells</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>From State Class</attrlabl>\n <attrdef>Vegetation Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Atlantic White Cedar:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Cypress Gum:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Maple Gum:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Pine Pocosin:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>From Stock Type</attrlabl>\n <attrdef>Carbon Stock Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Deadwood</edomv>\n <edomvd>Dead woody biomass either standing or down</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Leaf</edomv>\n <edomvd>Aboveground living biomass from foliage</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Root</edomv>\n <edomvd>Belowground living biomass from roots</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Wood</edomv>\n <edomvd>Aboveground living woody biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Dead Root</edomv>\n <edomvd>Belowground dead biomass from roots</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Leaf Litter</edomv>\n <edomvd>Dead biomass from leaves and fine woody debris</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Atmosphere</edomv>\n <edomvd>Carbon stored in the Atmosphere from terrestrial emissions</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Deep Peat</edomv>\n <edomvd>Soil Carbon Pool 40-100 cm below surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Peat</edomv>\n <edomvd>Soil Carbon Pool 0-40 cm below surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>To Stock Type</attrlabl>\n <attrdef>Carbon Stock Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>HWP Medium</edomv>\n <edomvd>Harvested Wood Products Medium</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Leaf Litter</edomv>\n <edomvd>Dead biomass from leaves and fine woody debris</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Dead Root</edomv>\n <edomvd>Belowground dead biomass from roots</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Deadwood</edomv>\n <edomvd>Dead woody biomass either standing or down</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Atmosphere</edomv>\n <edomvd>Carbon stored in the Atmosphere from terrestrial emissions</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Leaf</edomv>\n <edomvd>Aboveground living biomass from foliage</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Root</edomv>\n <edomvd>Belowground living biomass from roots</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Wood</edomv>\n <edomvd>Aboveground living woody biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Peat</edomv>\n <edomvd>Soil Carbon Pool 0-40 cm below surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Aquatic</edomv>\n <edomvd>Carbon stored in the Aquatic pool from lateral flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Deep Peat</edomv>\n <edomvd>Soil Carbon Pool 40-100 cm below surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Transition Group</attrlabl>\n <attrdef>Transition Event Category</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>FUEL MANAGEMENT: Post Storm</edomv>\n <edomvd>Carbon removal from downed woody debris</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>WIND/STRESS</edomv>\n <edomvd>Downed woody debris and foliage from heavy wind</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FIRE: High Severity</edomv>\n <edomvd>Carbon Loss from High Severity Fire</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FIRE: Low Severity</edomv>\n <edomvd>Carbon Loss from Low Severity Fire</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FIRE: Med Severity</edomv>\n <edomvd>Carbon Loss from Medium Severity Fire</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FIRE: Repeat Catastrophic</edomv>\n <edomvd>Carbon Loss from Repeat Catastrophic Fire</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>State Attribute Type</attrlabl>\n <attrdef>Net Primary Productivity</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NPP</edomv>\n <edomvd>Net Primary Productivity</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Flow Type</attrlabl>\n <attrdef>Carbon Flow (Flux) Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Harvest</edomv>\n <edomvd>Carbon flow from forest harvest</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Mortality</edomv>\n <edomvd>Carbon flow from mortality of live biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Emission</edomv>\n <edomvd>Carbon flow from emissions of live and dead biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Litterfall</edomv>\n <edomvd>Carbon flow from live leaf to litter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Growth</edomv>\n <edomvd>Carbon flow from atmosphere to live biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Humification</edomv>\n <edomvd>Carbon flow from litter, deadwood and dead root to soil/peat</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Leaching</edomv>\n <edomvd>Carbon flow from peat to aquatic</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Peat Accumulation</edomv>\n <edomvd>Carbon flow from upper peat to deep peat</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Multiplier</attrlabl>\n <attrdef>Carbon Flow Rate - Annual Rate at which Carbon flows from one stock to another</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>1.0</rdommax>\n <attrunit>annual rate</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Flooded_Wet_Scenario_StateAttributes.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Moisture Zone</attrlabl>\n <attrdef>Hydrologic Strata for each Vegetation Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Dry</edomv>\n <edomvd>Cells where water table height is below land surface elevation</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Wet</edomv>\n <edomvd>Cells where water table height is above land surface elevation - Inundated cells</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>State Class</attrlabl>\n <attrdef>Vegetation Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Atlantic White Cedar:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Cypress Gum:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Maple Gum:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Pine Pocosin:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>State Attribute Type</attrlabl>\n <attrdef>Carbon Stock Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ADJ-AWC</edomv>\n <edomvd>Adjacency multipliers to capture the effect of a Atlantic White Cedar cell's neighborhood on transition probabilities</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Dead Root</edomv>\n <edomvd>Carbon stock (biomass pool) Belowground Dead Root</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Deadwood</edomv>\n <edomvd>Carbon stock (biomass pool) Aboveground Deadwood</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Leaf Litter</edomv>\n <edomvd>Carbon stock (biomass pool) Aboveground Leaf Litter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Live Leaf</edomv>\n <edomvd>Carbon stock (biomass pool) Aboveground Live Leaf</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Live Root</edomv>\n <edomvd>Carbon stock (biomass pool) Belowground Live Root</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Live Wood</edomv>\n <edomvd>Carbon stock (biomass pool) Aboveground Live Wood</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NPP</edomv>\n <edomvd>Net Primary Productivity</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ADJ-CG</edomv>\n <edomvd>Adjacency multipliers to capture the effect of a Cypress Gum cell's neighborhood on transition probabilities</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Deep Peat</edomv>\n <edomvd>Carbon stock (biomass pool) Belowground Deep Peat (40-100 cm)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Peat</edomv>\n <edomvd>Carbon stock (biomass pool) Belowground Peat (0 - 40 cm)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ADJ-PP</edomv>\n <edomvd>Adjacency multipliers to capture the effect of a Pine Pocosin cell's neighborhood on transition probabilities</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Age Min</attrlabl>\n <attrdef>Biomass Age (in years)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>267</rdommax>\n <attrunit>years</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Carbon Stock Amount</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>638.17</rdommax>\n <attrunit>megagrams of carbon per hectare</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Flooded_Wet_Scenario_FlowPathways.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>From Moisture Zone</attrlabl>\n <attrdef>Hydrologic Strata for each Vegetation Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Dry</edomv>\n <edomvd>Cells where water table height is below land surface elevation</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Wet</edomv>\n <edomvd>Cells where water table height is above land surface elevation - Inundated cells</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>From State Class</attrlabl>\n <attrdef>Vegetation Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Atlantic White Cedar:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Cypress Gum:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Maple Gum:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Pine Pocosin:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>From Stock Type</attrlabl>\n <attrdef>Carbon Stock Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Deadwood</edomv>\n <edomvd>Dead woody biomass either standing or down</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Leaf</edomv>\n <edomvd>Aboveground living biomass from foliage</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Root</edomv>\n <edomvd>Belowground living biomass from roots</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Wood</edomv>\n <edomvd>Aboveground living woody biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Dead Root</edomv>\n <edomvd>Belowground dead biomass from roots</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Leaf Litter</edomv>\n <edomvd>Dead biomass from leaves and fine woody debris</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Atmosphere</edomv>\n <edomvd>Carbon stored in the Atmosphere from terrestrial emissions</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Deep Peat</edomv>\n <edomvd>Soil Carbon Pool 40-100 cm below surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Peat</edomv>\n <edomvd>Soil Carbon Pool 0-40 cm below surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>To Stock Type</attrlabl>\n <attrdef>Carbon Stock Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>HWP Medium</edomv>\n <edomvd>Harvested Wood Products Medium</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Leaf Litter</edomv>\n <edomvd>Dead biomass from leaves and fine woody debris</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Dead Root</edomv>\n <edomvd>Belowground dead biomass from roots</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Deadwood</edomv>\n <edomvd>Dead woody biomass either standing or down</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Atmosphere</edomv>\n <edomvd>Carbon stored in the Atmosphere from terrestrial emissions</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Leaf</edomv>\n <edomvd>Aboveground living biomass from foliage</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Root</edomv>\n <edomvd>Belowground living biomass from roots</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Wood</edomv>\n <edomvd>Aboveground living woody biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Peat</edomv>\n <edomvd>Soil Carbon Pool 0-40 cm below surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Aquatic</edomv>\n <edomvd>Carbon stored in the Aquatic pool from lateral flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Deep Peat</edomv>\n <edomvd>Soil Carbon Pool 40-100 cm below surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Transition Group</attrlabl>\n <attrdef>Transition Event Category</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>FUEL MANAGEMENT: Post Storm</edomv>\n <edomvd>Carbon removal from downed woody debris</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>WIND/STRESS</edomv>\n <edomvd>Downed woody debris and foliage from heavy wind</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FIRE: High Severity</edomv>\n <edomvd>Carbon Loss from High Severity Fire</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FIRE: Low Severity</edomv>\n <edomvd>Carbon Loss from Low Severity Fire</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FIRE: Med Severity</edomv>\n <edomvd>Carbon Loss from Medium Severity Fire</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FIRE: Repeat Catastrophic</edomv>\n <edomvd>Carbon Loss from Repeat Catastrophic Fire</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>State Attribute Type</attrlabl>\n <attrdef>Net Primary Productivity</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NPP</edomv>\n <edomvd>Net Primary Productivity</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Flow Type</attrlabl>\n <attrdef>Carbon Flow (Flux) Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Harvest</edomv>\n <edomvd>Carbon flow from forest harvest</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Mortality</edomv>\n <edomvd>Carbon flow from mortality of live biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Emission</edomv>\n <edomvd>Carbon flow from emissions of live and dead biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Litterfall</edomv>\n <edomvd>Carbon flow from live leaf to litter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Growth</edomv>\n <edomvd>Carbon flow from atmosphere to live biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Humification</edomv>\n <edomvd>Carbon flow from litter, deadwood and dead root to soil/peat</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Leaching</edomv>\n <edomvd>Carbon flow from peat to aquatic</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Peat Accumulation</edomv>\n <edomvd>Carbon flow from upper peat to deep peat</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Multiplier</attrlabl>\n <attrdef>Carbon Flow Rate - Annual Rate at which Carbon flows from one stock to another</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>1.0</rdommax>\n <attrunit>annual rate</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Drained_Dry_Scenario_StateAttributes.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Moisture Zone</attrlabl>\n <attrdef>Hydrologic Strata for each Vegetation Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Dry</edomv>\n <edomvd>Cells where water table height is below land surface elevation</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Wet</edomv>\n <edomvd>Cells where water table height is above land surface elevation - Inundated cells</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>State Class</attrlabl>\n <attrdef>Vegetation Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Atlantic White Cedar:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Cypress Gum:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Maple Gum:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Pine Pocosin:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>State Attribute Type</attrlabl>\n <attrdef>Carbon Stock Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>ADJ-AWC</edomv>\n <edomvd>Adjacency multipliers to capture the effect of a Atlantic White Cedar cell's neighborhood on transition probabilities</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Dead Root</edomv>\n <edomvd>Carbon stock (biomass pool) Belowground Dead Root</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Deadwood</edomv>\n <edomvd>Carbon stock (biomass pool) Aboveground Deadwood</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Leaf Litter</edomv>\n <edomvd>Carbon stock (biomass pool) Aboveground Leaf Litter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Live Leaf</edomv>\n <edomvd>Carbon stock (biomass pool) Aboveground Live Leaf</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Live Root</edomv>\n <edomvd>Carbon stock (biomass pool) Belowground Live Root</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Live Wood</edomv>\n <edomvd>Carbon stock (biomass pool) Aboveground Live Wood</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NPP</edomv>\n <edomvd>Net Primary Productivity</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ADJ-CG</edomv>\n <edomvd>Adjacency multipliers to capture the effect of a Cypress Gum cell's neighborhood on transition probabilities</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Deep Peat</edomv>\n <edomvd>Carbon stock (biomass pool) Belowground Deep Peat (40-100 cm)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carbon Initial Conditions: Peat</edomv>\n <edomvd>Carbon stock (biomass pool) Belowground Peat (0 - 40 cm)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>ADJ-PP</edomv>\n <edomvd>Adjacency multipliers to capture the effect of a Pine Pocosin cell's neighborhood on transition probabilities</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Age Min</attrlabl>\n <attrdef>Biomass Age (in years)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>267</rdommax>\n <attrunit>years</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Carbon Stock Amount</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>638.17</rdommax>\n <attrunit>megagrams of carbon per hectare</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Drained_Dry_Scenario_FlowPathways.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>From Moisture Zone</attrlabl>\n <attrdef>Hydrologic Strata for each Vegetation Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Dry</edomv>\n <edomvd>Cells where water table height is below land surface elevation</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Wet</edomv>\n <edomvd>Cells where water table height is above land surface elevation - Inundated cells</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>From State Class</attrlabl>\n <attrdef>Vegetation Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Atlantic White Cedar:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Cypress Gum:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Maple Gum:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Pine Pocosin:All</edomv>\n <edomvd>Forest Community</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>From Stock Type</attrlabl>\n <attrdef>Carbon Stock Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Deadwood</edomv>\n <edomvd>Dead woody biomass either standing or down</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Leaf</edomv>\n <edomvd>Aboveground living biomass from foliage</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Root</edomv>\n <edomvd>Belowground living biomass from roots</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Wood</edomv>\n <edomvd>Aboveground living woody biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Dead Root</edomv>\n <edomvd>Belowground dead biomass from roots</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Leaf Litter</edomv>\n <edomvd>Dead biomass from leaves and fine woody debris</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Atmosphere</edomv>\n <edomvd>Carbon stored in the Atmosphere from terrestrial emissions</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Deep Peat</edomv>\n <edomvd>Soil Carbon Pool 40-100 cm below surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Peat</edomv>\n <edomvd>Soil Carbon Pool 0-40 cm below surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>To Stock Type</attrlabl>\n <attrdef>Carbon Stock Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>HWP Medium</edomv>\n <edomvd>Harvested Wood Products Medium</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Leaf Litter</edomv>\n <edomvd>Dead biomass from leaves and fine woody debris</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Dead Root</edomv>\n <edomvd>Belowground dead biomass from roots</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Deadwood</edomv>\n <edomvd>Dead woody biomass either standing or down</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Atmosphere</edomv>\n <edomvd>Carbon stored in the Atmosphere from terrestrial emissions</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Leaf</edomv>\n <edomvd>Aboveground living biomass from foliage</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Root</edomv>\n <edomvd>Belowground living biomass from roots</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Living Wood</edomv>\n <edomvd>Aboveground living woody biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Peat</edomv>\n <edomvd>Soil Carbon Pool 0-40 cm below surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Aquatic</edomv>\n <edomvd>Carbon stored in the Aquatic pool from lateral flux</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Deep Peat</edomv>\n <edomvd>Soil Carbon Pool 40-100 cm below surface</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Transition Group</attrlabl>\n <attrdef>Transition Event Category</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>FUEL MANAGEMENT: Post Storm</edomv>\n <edomvd>Carbon removal from downed woody debris</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>WIND/STRESS</edomv>\n <edomvd>Downed woody debris and foliage from heavy wind</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FIRE: High Severity</edomv>\n <edomvd>Carbon Loss from High Severity Fire</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FIRE: Low Severity</edomv>\n <edomvd>Carbon Loss from Low Severity Fire</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FIRE: Med Severity</edomv>\n <edomvd>Carbon Loss from Medium Severity Fire</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FIRE: Repeat Catastrophic</edomv>\n <edomvd>Carbon Loss from Repeat Catastrophic Fire</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>State Attribute Type</attrlabl>\n <attrdef>Net Primary Productivity</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NPP</edomv>\n <edomvd>Net Primary Productivity</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Flow Type</attrlabl>\n <attrdef>Carbon Flow (Flux) Type</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Harvest</edomv>\n <edomvd>Carbon flow from forest harvest</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Mortality</edomv>\n <edomvd>Carbon flow from mortality of live biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Emission</edomv>\n <edomvd>Carbon flow from emissions of live and dead biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Litterfall</edomv>\n <edomvd>Carbon flow from live leaf to litter</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Growth</edomv>\n <edomvd>Carbon flow from atmosphere to live biomass</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Humification</edomv>\n <edomvd>Carbon flow from litter, deadwood and dead root to soil/peat</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Leaching</edomv>\n <edomvd>Carbon flow from peat to aquatic</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Peat Accumulation</edomv>\n <edomvd>Carbon flow from upper peat to deep peat</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Multiplier</attrlabl>\n <attrdef>Carbon Flow Rate - Annual Rate at which Carbon flows from one stock to another</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>1.0</rdommax>\n <attrunit>annual rate</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>This dataset includes three tables that are CSV files with multiple columns. Each CSV file represents the modeled output from each scenario (Baseline, Flooded-Wet, and Drained-Dry). Each scenario contains annual estimates, with a data point for each year, from 2012 - 2112. The columns represent the following attributes: Timestep, Annual Area of each Forest Type in hectares, Annual Growth as Net Primary Productivity in Mg of carbon, Annual Heterotrophic Respiration (Rh) in Mg of carbon, Annual Carbon Emissions from Fire (excluding Catastrophic Fire Events) in Mg of carbon, Annual Carbon Emissions from Catastrophic Fire in Mg of carbon, Annual Carbon Emissions - Total in Mg of carbon, Annual Net Ecosystem Carbon Balance (including Catastrophic Fire event) in Mg of carbon, Annual Net Ecosystem Carbon Balance (excluding Catastrophic Fire event) in Mg of carbon. The different categories of data presented here are all of the components needed to demonstrate a carbon budget.</eaover>\n <eadetcit>Sleeter, R., (2021) Model parameters and output of net ecosystem carbon balance for the Great Dismal Swamp, Virginia and North Carolina, USA. U.S. Geological Survey data release. https://doi.org/10.5066/P970W305</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P970W305</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20210421</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Rachel Sleeter</cntper>\n <cntorg>U.S. Geological Survey, WATER</cntorg>\n </cntperp>\n <cntpos>Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>253-313-3310</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
Generate a FGDC (Federal Geographic Data Committee) XML from following description of datarelease: | [Skip to main content](#sb-container-body)
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Barrier island geomorphology and shorebird habitat metrics: Four sites in New York, New Jersey, and Virginia, 2010–2014](/catalog/item/5be5c5bce4b0b3fc5cf8c7cb)
4. [Fire Island, NY, 2012](/catalog/item/5d0bc92fe4b0941bde4fc610)
5. [Development: Development delineation: Fire Island, NY, 2012](/catalog/folder/5d0bc932e4b0941bde4fc615)
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## Dates
Publication Date2019-06-25Start Date2012-10-31End Date2012-11-06
## Citation
Sturdivant, E.J., Zeigler, S.L., Gutierrez, B.T., and Weber, K.M., 2019, Barrier island geomorphology and shorebird habitat metrics–Four sites in New York, New Jersey, and Virginia, 2010–2014: U.S. Geological Survey data release, https://doi.org/10.5066/P944FPA4.
## Summary
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive \[...\]
## Summary
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.
## Contacts
Contact
:
[Sara L Zeigler](/catalog/catalogParty/show?partyId=65879)
Originator
:
[Emily J Sturdivant](/catalog/catalogParty/show?partyId=70161),
[Ben Gutierrez](/catalog/catalogParty/show?partyId=4035),
[Kathryn M Weber](/catalog/catalogParty/show?partyId=11022),
[Sara L Zeigler](/catalog/catalogParty/show?partyId=65879)
Publisher
:
[Woods Hole Coastal and Marine Science Center](/catalog/catalogParty/show?partyId=17230),
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5d0bc932e4b0941bde4fc615?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5d0bc932e4b0941bde4fc615?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5d0bc932e4b0941bde4fc615?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| FI12\_Development.shp.xml<br>_Original FGDC Metadata_ | View | 20.44 KB | application/fgdc+xml |
| FI\_Development\_browse.png<br>“Example polygons depicting human development and coastal armoring at Fire Isl...” |  | 55.79 KB | image/png |
| | | |
| --- | --- | --- |
| FI12\_Development.CPG | | 5 Bytes |
| FI12\_Development.dbf | | 549 Bytes |
| FI12\_Development.prj | | 424 Bytes |
| FI12\_Development.sbn | | 828 Bytes |
| FI12\_Development.sbx | | 156 Bytes |
| FI12\_Development.shp | | 119.92 KB |
| FI12\_Development.shx | | 652 Bytes |
Shapefile:
FI12\_Development.zip
## Related External Resources
Type: Publication that references this resource
| | |
| --- | --- |
| Zeigler, S.L., Sturdivant, E.J., and Gutierrez, B.T., 2019, Evaluating barrier island characteristics and piping plover (Charadrius melodus) habitat availability along the U.S. Atlantic coast—Geospatial approaches and methodology: U.S. Geological Survey Open-File Report 2019–1071, https://doi.org/10.3133/ofr20191071. | [https://doi.org/10.3133/ofr20191071](https://doi.org/10.3133/ofr20191071 "https://doi.org/10.3133/ofr20191071") |
| Zeigler, S.L., Gutierrez, B.T., Sturdivant, E.J., Catlin, D.H., Fraser, J.D., Hecht, A., Karpanty, S.M., Plant, N.G., and Thieler, E.R., 2019, Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat: PLoS ONE, v. 14, no. 7, e0209986, https://doi.org/10.1371/journal.pone.0209986. | [https://doi.org/10.1371/journal.pone.0209986](https://doi.org/10.1371/journal.pone.0209986 "https://doi.org/10.1371/journal.pone.0209986") |
Type: Source Code
| | |
| --- | --- |
| Sturdivant, E.J., 2019, Bi-transect-extractor: U.S. Geological Survey software code, https://doi.org/10.5066/P915UYMY. | [https://doi.org/10.5066/P915UYMY](https://doi.org/10.5066/P915UYMY "https://doi.org/10.5066/P915UYMY") |
## Purpose
The vector layer delineates areas of human development. Polygons were hand-digitized from 0.35-m aerial imagery captured in 2012 and outline areas of general human development (for example, buildings, residential development, paved roads) as well as coastal armoring (for example, jetties and groins). The data was used in vector format during a supervised land cover classification and converted to raster format to be merged with other land cover sub-classifications, producing the supervised classification raster layer (FI12\_SupClass.tif in larger work). This dataset is part of a series of spatial datasets used to describe characteristics of barrier islands found along the North American Atlantic coast in order to identify habitat for the federally protected piping plover (Charadrius melodus). Information contained in these spatial datasets was used within a Bayesian network to model the probability that a specific set of landscape characteristics would be associated with piping plover habitat (Zeigler and others 2019).
## Preview Image

Example polygons depicting human development and coastal armoring at Fire Isl...
## [Map](/catalog/item/imap/5d0bc932e4b0941bde4fc615)
[](/catalog/item/imap/5d0bc932e4b0941bde4fc615)
## Spatial Services
ScienceBase WMS
ScienceBase WFS
## Communities
- USGS Data Release Products
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [Barrier Island](/catalog/items?q=&filter=tags%3DBarrier+Island "Barrier Island (Barrier Island, Theme, None)")
- [CMGP](/catalog/items?q=&filter=tags%3DCMGP "CMGP (CMGP, Theme, None)")
- [Coastal Armoring](/catalog/items?q=&filter=tags%3DCoastal+Armoring "Coastal Armoring (Coastal Armoring, Theme, None)")
- [Coastal Habitat](/catalog/items?q=&filter=tags%3DCoastal+Habitat "Coastal Habitat (Coastal Habitat, Theme, None)")
- [Coastal Hazards](/catalog/items?q=&filter=tags%3DCoastal+Hazards "Coastal Hazards (Coastal Hazards, Theme, None)")
- [Coastal and Marine Geology Program](/catalog/items?q=&filter=tags%3DCoastal+and+Marine+Geology+Program "Coastal and Marine Geology Program (Coastal and Marine Geology Program, Theme, None)")
- [Fire Island](/catalog/items?q=&filter=tags%3DFire+Island "Fire Island (Fire Island, Theme, None)")
- [Fire Island National Seashore](/catalog/items?q=&filter=tags%3DFire+Island+National+Seashore "Fire Island National Seashore (Fire Island National Seashore, Theme, None)")
- [GIS](/catalog/items?q=&filter=tags%3DGIS "GIS (GIS, Theme, None)")
- [Geographic Information Systems](/catalog/items?q=&filter=tags%3DGeographic+Information+Systems "Geographic Information Systems (Geographic Information Systems, Theme, None)")
- [Human Development](/catalog/items?q=&filter=tags%3DHuman+Development "Human Development (Human Development, Theme, None)")
- [St. Petersburg Coastal and Marine Science Center](/catalog/items?q=&filter=tags%3DSt.+Petersburg+Coastal+and+Marine+Science+Center "St. Petersburg Coastal and Marine Science Center (St. Petersburg Coastal and Marine Science Center, Theme, None)")
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- [geospatial datasets](/catalog/items?q=&filter=tags%3Dgeospatial+datasets "geospatial datasets (geospatial datasets, Theme, USGS Thesaurus)")
- [land use and land cover](/catalog/items?q=&filter=tags%3Dland+use+and+land+cover "land use and land cover (land use and land cover, Theme, USGS Thesaurus)")
Place
- [Atlantic Ocean](/catalog/items?q=&filter=tags%3DAtlantic+Ocean "Atlantic Ocean (Atlantic Ocean, Place, None)")
- [Fire Island](/catalog/items?q=&filter=tags%3DFire+Island "Fire Island (Fire Island, Place, None)")
- [Fire Island National Seashore](/catalog/items?q=&filter=tags%3DFire+Island+National+Seashore "Fire Island National Seashore (Fire Island National Seashore, Place, None)")
- [Long Island](/catalog/items?q=&filter=tags%3DLong+Island "Long Island (Long Island, Place, None)")
- [NY](/catalog/items?q=&filter=tags%3DNY "NY (NY, Place, None)")
- [New York](/catalog/items?q=&filter=tags%3DNew+York "New York (New York, Place, None)")
- [North America](/catalog/items?q=&filter=tags%3DNorth+America "North America (North America, Place, None)")
- [USA](/catalog/items?q=&filter=tags%3DUSA "USA (USA, Place, None)")
- [United States](/catalog/items?q=&filter=tags%3DUnited+States "United States (United States, Place, None)")
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- [Downloadable](/catalog/items?q=&filter=browseType%3DDownloadable "Downloadable")
- [Map Service](/catalog/items?q=&filter=browseType%3DMap+Service "Map Service")
- [OGC WFS Layer](/catalog/items?q=&filter=browseType%3DOGC+WFS+Layer "OGC WFS Layer")
- [OGC WMS Layer](/catalog/items?q=&filter=browseType%3DOGC+WMS+Layer "OGC WMS Layer")
- [Shapefile](/catalog/items?q=&filter=browseType%3DShapefile "Shapefile")
## Provenance
## Additional Information
### Shapefile Extension
| boundingBox | | minY | 40.610391089345065 |
| minX | -73.3067624095062 |
| maxY | 40.78261871441324 |
| maxX | -72.72789464669057 | |
| files | | name | FI12\_Development.CPG |
| contentType | text/plain |
| pathOnDisk | \_\_disk\_\_13/92/b1/1392b1280553401128d7412a39188dd3ad68b76d |
| imageWidth | 580 |
| imageHeight | 435 |
| size | 5 |
| dateUploaded | Thu Jun 20 12:37:13 MDT 2019 |
| name | FI12\_Development.dbf |
| contentType | application/unknown |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Sara L. Zeigler</origin>\n <origin>Emily J. Sturdivant</origin>\n <origin>Benjamin T. Gutierrez</origin>\n <pubdate>2019</pubdate>\n <title>Development: Development delineation: Fire Island, NY, 2012</title>\n <edition>1.0</edition>\n <geoform>vector digital dataset</geoform>\n <serinfo>\n <sername>data release</sername>\n <issue>DOI:10.5066/P944FPA4</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Woods Hole Coastal and Marine Science Center, Woods Hole, MA</pubplace>\n <publish>U.S. Geological Survey, Coastal and Marine Geology Program</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P944FPA4</onlink>\n <onlink>https://www.sciencebase.gov/catalog/item/5d0bc932e4b0941bde4fc615</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Emily J. Sturdivant</origin>\n <origin>Sara L. Zeigler</origin>\n <origin>Benjamin T. Gutierrez</origin>\n <origin>Kathryn M. Weber</origin>\n <pubdate>2019</pubdate>\n <title>Barrier island geomorphology and shorebird habitat metrics\xe2\x80\x94Four sites in New York, New Jersey, and Virginia, 2010\xe2\x80\x932014</title>\n <edition>1.0</edition>\n <serinfo>\n <sername>data release</sername>\n <issue>DOI:10.5066/P944FPA4</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Sturdivant, E.J., Zeigler, S.L., Gutierrez, B.T., and Weber, K.M., 2019, Barrier island geomorphology and shorebird habitat metrics\xe2\x80\x94Four sites in New York, New Jersey, and Virginia, 2010\xe2\x80\x932014: U.S. Geological Survey data release, https://doi.org/10.5066/P944FPA4.</othercit>\n <onlink>https://doi.org/10.5066/P944FPA4</onlink>\n <onlink>https://www.sciencebase.gov/catalog/item/5be5c5bce4b0b3fc5cf8c7cb</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.</abstract>\n <purpose>The vector layer delineates areas of human development. Polygons were hand-digitized from 0.35-m aerial imagery captured in 2012 and outline areas of general human development (for example, buildings, residential development, paved roads) as well as coastal armoring (for example, jetties and groins). The data was used in vector format during a supervised land cover classification and converted to raster format to be merged with other land cover sub-classifications, producing the supervised classification raster layer (FI12_SupClass.tif in larger work).\n\nThis dataset is part of a series of spatial datasets used to describe characteristics of barrier islands found along the North American Atlantic coast in order to identify habitat for the federally protected piping plover (Charadrius melodus). Information contained in these spatial datasets was used within a Bayesian network to model the probability that a specific set of landscape characteristics would be associated with piping plover habitat (Zeigler and others 2019).</purpose>\n <supplinf>For additional information on processing and use of this geospatial dataset, see the USGS Open-File report by Zeigler and others (2019).</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20121031</begdate>\n <enddate>20121106</enddate>\n </rngdates>\n </timeinfo>\n <current>Ground condition measured by source data.</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-73.30676241</westbc>\n <eastbc>-72.72789465</eastbc>\n <northbc>40.77272984</northbc>\n <southbc>40.62022381</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d0bc932e4b0941bde4fc615</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Barrier Island</themekey>\n <themekey>USGS</themekey>\n <themekey>CMGP</themekey>\n <themekey>Geographic Information Systems</themekey>\n <themekey>GIS</themekey>\n <themekey>U.S. Geological Survey</themekey>\n <themekey>Coastal and Marine Geology Program</themekey>\n <themekey>Woods Hole Coastal and Marine Science Center</themekey>\n <themekey>St. Petersburg Coastal and Marine Science Center</themekey>\n <themekey>Coastal Hazards</themekey>\n <themekey>Coastal Habitat</themekey>\n <themekey>Fire Island</themekey>\n <themekey>Fire Island National Seashore</themekey>\n <themekey>Human Development</themekey>\n <themekey>Coastal Armoring</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>environment</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>geospatial datasets</themekey>\n <themekey>land use and land cover</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>New York</placekey>\n <placekey>NY</placekey>\n <placekey>Long Island</placekey>\n <placekey>Fire Island</placekey>\n <placekey>North America</placekey>\n <placekey>United States</placekey>\n <placekey>USA</placekey>\n <placekey>Atlantic Ocean</placekey>\n <placekey>Fire Island National Seashore</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) as the source of this information.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>Sara L. Zeigler</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>384 Woods Hole Road</address>\n <city>Woods Hole</city>\n <state>MA</state>\n <postal>02543</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>508-548-8700 x2290</cntvoice>\n <cntfax>508-457-2310</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <browse>\n <browsen>https://www.sciencebase.gov/catalog/file/get/5d0bc932e4b0941bde4fc615/?name=FI_Development_browse.png</browsen>\n <browsed>Example polygons depicting human development and coastal armoring at Fire Island, New York.</browsed>\n <browset>PNG</browset>\n </browse>\n <crossref>\n <citeinfo>\n <origin>Sara L. Zeigler</origin>\n <origin>Emily J. Sturdivant</origin>\n <origin>Benjamin T. Gutierrez</origin>\n <pubdate>2019</pubdate>\n <title>Evaluating barrier island characteristics and piping plover (Charadrius melodus) habitat availability along the U.S. Atlantic coast\xe2\x80\x94Geospatial approaches and methodology</title>\n <serinfo>\n <sername>Open-File Report</sername>\n <issue>2019\xe2\x80\x931071</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Details the methods used to process these data for use in barrier island and piping plover habitat modeling.</othercit>\n <onlink>https://doi.org/10.3133/ofr20191071</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <logic>This vector layer depicts hand-digitized areas of human development. It was produced manually based on visual inspection of orthoimagery. The data were reviewed using standard USGS review procedures. No checks for topological consistency were performed on these data.</logic>\n <complete>This dataset contains all human development within a custom boundary, to the best of our knowledge based on visual inspection of orthoimagery. This dataset may not include the entire spatial extent of the original source dataset as it was published in original form. However, the custom boundary spans the entire coverage of the site relevant to the broader research program (see Zeigler and others, 2019 for more details). This dataset is therefore considered complete for the information presented as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>The horizontal accuracy of the vector layer inherits the accuracy of the orthoimagery from which it was derived (see source contribution information).\n\nThis dataset was derived through manual digitization based on visual interpretation of aerial imagery. Some error is intrinsic in the manual process. We estimate the accuracy of this development raster to be within 5 m horizontally. No formal accuracy assessments have been conducted.</horizpar>\n </horizpa>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division</origin>\n <pubdate>20121115</pubdate>\n <title>Hurricane Sandy: Rapid Response Imagery of the Surrounding Regions</title>\n <geoform>Raster Digital Data (Aerial Imagery)</geoform>\n <pubinfo>\n <pubplace>Silver Spring, MD</pubplace>\n <publish>NOAA's Ocean Service, National Geodetic Survey (NGS)</publish>\n </pubinfo>\n <onlink>https://geodesy.noaa.gov/storm_archive/storms/sandy/index.html</onlink>\n <onlink>https://geodesy.noaa.gov/storm_archive/storms/sandy/docs/sandy_metadata.htm</onlink>\n <onlink>http://ngs.woc.noaa.gov/storms/sandy/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20121031</begdate>\n <enddate>20121106</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>Orthoimage</srccitea>\n <srccontr>Visual imagery used for digitizing shorefront development. Source data were distributed at 0.35 m pixel resolution, in horizontal datum NAD83. Downloaded on 2/15/2016. Data were projected to UTM Zone 18N (EPSG:26918) using the \xe2\x80\x98Project Raster\xe2\x80\x99 tool in ArcToolbox (version 10.4.1).</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>In Edit sessions of ArcGIS version 10.4.1, Sara L. Zeigler manually outlined areas that were anthropogenic development in the orthoimage. The features considered development included buildings and other man-made structures, paved roads, groins, jetties, and seawalls.</procdesc>\n <procdate>2017</procdate>\n </procstep>\n <procstep>\n <procdesc>Added keywords section with USGS persistent identifier as theme keyword.</procdesc>\n <procdate>20200810</procdate>\n <proccont>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>VeeAnn A. Cross</cntper>\n </cntorgp>\n <cntpos>Marine Geologist</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>384 Woods Hole Road</address>\n <city>Woods Hole</city>\n <state>MA</state>\n <postal>02543-1598</postal>\n </cntaddr>\n <cntvoice>508-548-8700 x2251</cntvoice>\n <cntfax>508-457-2310</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Vector</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>G-polygon</sdtstype>\n <ptvctcnt>69</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <gridsys>\n <gridsysn>Universal Transverse Mercator</gridsysn>\n <utm>\n <utmzone>18</utmzone>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-75.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000.0</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </utm>\n </gridsys>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.6096</absres>\n <ordres>0.6096</ordres>\n </coordrep>\n <plandu>meters</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>North_American_Datum_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Attribute Table</enttypl>\n <enttypd>Table containing attribute information associated with the dataset.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>FID</attrlabl>\n <attrdef>Internal feature number.</attrdef>\n <attrdefs>ESRI</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape</attrlabl>\n <attrdef>Feature geometry.</attrdef>\n <attrdefs>ESRI</attrdefs>\n <attrdomv>\n <udom>Coordinates defining the features.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Id</attrlabl>\n <attrdef>Placeholder field.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Placeholder.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <resdesc>These data are available as an Esri shapefile (FI12_Development.shp and associated shapefile components). Additionally, the CSDGM FGDC metadata (FI12_Development_meta.xml) and the browse graphic (FI_Development_browse.png) are included. These data can be downloaded individually or packaged on-demand in a zip file (see the Digital Transfer Option section).</resdesc>\n <distliab>Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), and have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Shapefile</formname>\n <formvern>ArcGIS 10.4</formvern>\n <formspec>Esri polygon shapefile</formspec>\n <formcont>These files (.dbf, .prj, .sbn, .sbx, .shp, .shp.xml, and .shx) are a collection of files with a common filename prefix and must be downloaded and stored in the same directory. Together they are the components of the shapefile and include FGDC compliant metadata.</formcont>\n <transize>0.18</transize>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://www.sciencebase.gov/catalog/item/5d0bc932e4b0941bde4fc615</networkr>\n <networkr>https://www.sciencebase.gov/catalog/file/get/5d0bc932e4b0941bde4fc615</networkr>\n <networkr>https://doi.org/10.5066/P944FPA4</networkr>\n </networka>\n </computer>\n <accinstr>The first link is to the page containing the data. The second is a direct link to download all data available from the page as a zip file. The final link is to the publication landing page. The data page (first link) may have additional data access options, including web services.</accinstr>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n <techpreq>To utilize these data, the user must have software capable of reading shapefile format, or GIS software capable of utilizing web mapping or feature services.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20240319</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Sara L. Zeigler</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>384 Woods Hole Road</address>\n <city>Woods Hole</city>\n <state>MA</state>\n <postal>02543</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>508-548-8700 x2290</cntvoice>\n <cntemail>[email protected]</cntemail>\n <cntinst>The metadata contact email address is a generic address in the event the person is no longer with USGS. (updated on 20240319)</cntinst>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Pacific Islands Water Science Center](/catalog/item/5a5696bbe4b01e7be2444d85)
3. [Groundwater Recharge](/catalog/item/5a94696de4b069906068fb69)
4. [Mean annual water-budget components for the Island of Oahu, Hawaii, for predevelopment conditions, 1978-2007 rainfall and 1870 land cover (ver. 2.0)](/catalog/folder/5a2830dbe4b03852bafe13a5)
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## Dates
Publication Date2018-02-16Start Date1869-12-31End Date2010-12-31
## Citation
Engott, J.A., 2018, Mean annual water-budget components for the Island of Oahu, Hawaii, for predevelopment conditions, 1978-2007 rainfall and 1870 land cover (ver. 2.0, February 2018): U.S. Geological Survey data release, https://doi.org/10.5066/F7SX6B9H.
## Summary
This shapefile represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Oahu, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of predevelopment conditions (1978–2007 rainfall and 1870 land cover), as described in USGS Scientific Investigations Report (USGS SIR) 2015-5164. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model-subarea dataset, consisting of 441,315 subareas (polygons), was generated using Esri ArcGIS software by intersecting (merging) multiple spatial datasets. Spatial datasets merged include those that characterize the \[...\]
## Summary
This shapefile represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Oahu, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of predevelopment conditions (1978–2007 rainfall and 1870 land cover), as described in USGS Scientific Investigations Report (USGS SIR) 2015-5164. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model-subarea dataset, consisting of 441,315 subareas (polygons), was generated using Esri ArcGIS software by intersecting (merging) multiple spatial datasets. Spatial datasets merged include those that characterize the spatial distribution of hydrologic and physical conditions (rainfall, fog interception, irrigation, reference evapotranspiration, direct runoff, soil type, and land cover) that the model uses to compute groundwater recharge and other water-budget components. Additional spatial datasets merged into the model-subarea dataset include those of select geographic features that assist in analyzing model results. The associated metadata file describes the process of merging these spatial datasets. The shapefile attribute information associated with each polygon present an estimate of mean annual rainfall, fog interception, irrigation, septic-system leachate, runoff, canopy evaporation, actual evapotranspiration, storm-drain capture, net precipitation, total evapotranspiration, recharge, and seepage from reservoirs and cesspools. This shapefile also includes select geographic and land-cover attributes of the polygons. Brief descriptions of the water-budget components and attributes are included in the metadata file. Refer to USGS SIR 2015-5164 and USGS SIR 2015-5010 for further details of the methods and sources used to determine these components and attributes.
First published - June 2016, ver. 1.0
Revised - February 2018, ver. 2.0
## Contacts
Point of Contact
:
[U.S. Geological Survey Pacific Islands Water Science Center](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey+Pacific+Islands+Water+Science+Center)
Originator
:
[John A. Engott](/catalog/catalogParty/show?partyId=John+A.+Engott)
Metadata Contact
:
[U.S. Geological Survey Pacific Islands Water Science Center](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey+Pacific+Islands+Water+Science+Center)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
:
[Pacific Islands Water Science Center](/catalog/catalogParty/show?partyId=17447)
Distributor
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[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
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| SIR\_2015-5164\_Oahu\_WB\_components\_predevelopment\_metadata.xml<br>_Original FGDC Metadata_ | View | 52.79 KB | application/fgdc+xml |
| Oahu\_predevelopment\_browse.png<br>“Map of mean annual recharge” |  | 914.64 KB | image/png |
| SIR\_2015-5164\_Oahu\_WB\_components\_predevelopment\_1978-2007\_RF\_1870\_LC.zip<br>“Zip folder with shapefile” | | 49.84 MB | application/zip |
| Version\_history\_Oahu\_predevelopment\_conditions.txt<br>“Version history” | | 991 Bytes | text/plain |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Izuka, S.K., Engott, J.A., Rotzoll, Kolja, Bassiouni, Maoya, Johnson, A.G., Miller, L.D., and Mair, Alan, 2018, Volcanic aquifers of Hawai‘i—Hydrogeology, water budgets, and conceptual models (ver. 2.0, February 2018): U.S. Geological Survey Scientific Investigations Report 2015-5164, 158 p., https://doi.org/10.3133/sir20155164. | [https://doi.org/10.3133/sir20155164](https://doi.org/10.3133/sir20155164 "https://doi.org/10.3133/sir20155164") |
## Purpose
The water-budget components in this shapefile were determined as part of a study to estimate the spatial distribution of groundwater recharge on the Island of Oahu, Hawaii, for a scenario representative of predevelopment conditions (1978–2007 rainfall and 1870 land cover), as described in USGS SIR 2015-5164. The recharge estimates may be used in numerical groundwater models that can evaluate the effects of groundwater withdrawals on groundwater levels, streamflow, coastal discharge, and salinities in public and private wells on Oahu.
## Preview Image

Map of mean annual recharge
## [Map](/catalog/item/imap/5a2830dbe4b03852bafe13a5)
[](/catalog/item/imap/5a2830dbe4b03852bafe13a5)
## Communities
- USGS Data Release Products
- USGS Pacific Islands Water Science Center
## Tags
Theme
- [Groundwater Resources Program](/catalog/items?q=&filter=tags%3DGroundwater+Resources+Program "Groundwater Resources Program (Groundwater Resources Program, Theme, USGS Thesaurus)")
- [Hawaii Volcanic Rock Aquifer Study](/catalog/items?q=&filter=tags%3DHawaii+Volcanic+Rock+Aquifer+Study "Hawaii Volcanic Rock Aquifer Study (Hawaii Volcanic Rock Aquifer Study, Theme, USGS Thesaurus)")
- [canopy evaporation](/catalog/items?q=&filter=tags%3Dcanopy+evaporation "canopy evaporation (canopy evaporation, Theme, USGS Thesaurus)")
- [evapotranspiration](/catalog/items?q=&filter=tags%3Devapotranspiration "evapotranspiration (evapotranspiration, Theme, USGS Thesaurus)")
- [fog interception](/catalog/items?q=&filter=tags%3Dfog+interception "fog interception (fog interception, Theme, USGS Thesaurus)")
- [groundwater recharge](/catalog/items?q=&filter=tags%3Dgroundwater+recharge "groundwater recharge (groundwater recharge, Theme, USGS Thesaurus)")
- [inlandWaters](/catalog/items?q=&filter=tags%3DinlandWaters "inlandWaters (inlandWaters, Theme, ISO 19115 Topic Category)")
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- [irrigation](/catalog/items?q=&filter=tags%3Dirrigation "irrigation (irrigation, Theme, USGS Thesaurus)")
- [rainfall](/catalog/items?q=&filter=tags%3Drainfall "rainfall (rainfall, Theme, USGS Thesaurus)")
- [runoff](/catalog/items?q=&filter=tags%3Drunoff "runoff (runoff, Theme, USGS Thesaurus)")
- [soil-water balance](/catalog/items?q=&filter=tags%3Dsoil-water+balance "soil-water balance (soil-water balance, Theme, USGS Thesaurus)")
- [storm-drain capture](/catalog/items?q=&filter=tags%3Dstorm-drain+capture "storm-drain capture (storm-drain capture, Theme, USGS Thesaurus)")
- [water-budget model](/catalog/items?q=&filter=tags%3Dwater-budget+model "water-budget model (water-budget model, Theme, USGS Thesaurus)")
Place
- [Hawaii](/catalog/items?q=&filter=tags%3DHawaii "Hawaii (Hawaii, Place, Geographic Names Information System)")
- [Oahu](/catalog/items?q=&filter=tags%3DOahu "Oahu (Oahu, Place, Geographic Names Information System)")
- [Pacific islands](/catalog/items?q=&filter=tags%3DPacific+islands "Pacific islands (Pacific islands, Place, Geographic Names Information System)")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
USGS Scientific Topic Keyword
- [Water Resources](/catalog/items?q=&filter=tags%3DWater+Resources "Water Resources (Water Resources, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7SX6B9H |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>John A. Engott</origin>\n <pubdate>201802</pubdate>\n <title>Mean annual water-budget components for the Island of Oahu, Hawaii, for predevelopment conditions, 1978-2007 rainfall and 1870 land cover (version 2.0)</title>\n <edition>Version 2.0 - This data set was updated in February 2018. Water-budget components in version 1 were impacted by a clerical-type error that affected selected input files for the model that was used to compute the components. After identifying and fixing the error, the water-budget components were recomputed and placed in version 2.0 of this data set. First release: June 2016 (version 1). Revised: February 2018 (version 2.0).</edition>\n <geoform>Vector Digital Data Set (Polygon)</geoform>\n <serinfo>\n <sername>Scientific Investigations Report</sername>\n <issue>2015-5164</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7SX6B9H</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Scot K. Izuka</origin>\n <origin>John A. Engott</origin>\n <origin>Kolja Rotzoll</origin>\n <origin>Maoya Bassiouni</origin>\n <origin>Adam G. Johnson</origin>\n <origin>Lisa D. Miller</origin>\n <origin>Alan Mair</origin>\n <pubdate>2018</pubdate>\n <title>Volcanic Aquifers of Hawai\xe2\x80\x98i\xe2\x80\x94Hydrogeology, Water Budgets, and Conceptual Models (ver. 2.0, February 2018)</title>\n <geoform>Publication (Other)</geoform>\n <serinfo>\n <sername>Scientific Investigations Report</sername>\n <issue>2015-5164</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/sir20155164</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The shapefile associated with this metadata file represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Oahu, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of predevelopment conditions (1978\xe2\x80\x932007 rainfall and 1870 land cover), as described in USGS Scientific Investigations Report (USGS SIR) 2015-5164. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model-subarea dataset, consisting of 441,315 subareas (polygons), was generated using Esri ArcGIS software by intersecting (merging) multiple spatial datasets. Spatial datasets merged include those that characterize the spatial distribution of hydrologic and physical conditions (rainfall, fog interception, irrigation, reference evapotranspiration, direct runoff, soil type, and land cover) that the model uses to compute groundwater recharge and other water-budget components. Additional spatial datasets merged into the model-subarea dataset include those of select geographic features that assist in analyzing model results. This metadata file describes the process of merging these spatial datasets. The shapefile attribute information associated with each polygon present an estimate of mean annual rainfall, fog interception, irrigation, septic-system leachate, runoff, canopy evaporation, actual evapotranspiration, storm-drain capture, net precipitation, total evapotranspiration, recharge, and seepage from reservoirs and cesspools. This shapefile also includes select geographic and land-cover attributes of the polygons. Brief descriptions of the water-budget components and attributes are included in this metadata file. Refer to USGS SIR 2015-5164 and USGS SIR 2015-5010 for further details of the methods and sources used to determine these components and attributes.</abstract>\n <purpose>The water-budget components in this shapefile were determined as part of a study to estimate the spatial distribution of groundwater recharge on the Island of Oahu, Hawaii, for a scenario representative of predevelopment conditions (1978\xe2\x80\x932007 rainfall and 1870 land cover), as described in USGS SIR 2015-5164. The recharge estimates may be used in numerical groundwater models that can evaluate the effects of groundwater withdrawals on groundwater levels, streamflow, coastal discharge, and salinities in public and private wells on Oahu.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>18700101</begdate>\n <enddate>20101231</enddate>\n </rngdates>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-158.282291463</westbc>\n <eastbc>-157.644933809</eastbc>\n <northbc>21.714009852</northbc>\n <southbc>21.253656969</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>inlandWaters</themekey>\n <themekey>irrigation</themekey>\n <themekey>groundwater recharge</themekey>\n <themekey>canopy evaporation</themekey>\n <themekey>rainfall</themekey>\n <themekey>evapotranspiration</themekey>\n <themekey>storm-drain capture</themekey>\n <themekey>runoff</themekey>\n <themekey>water-budget model</themekey>\n <themekey>fog interception</themekey>\n <themekey>soil-water balance</themekey>\n <themekey>Hawaii Volcanic Rock Aquifer Study</themekey>\n <themekey>Groundwater Resources Program</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5a2830dbe4b03852bafe13a5</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System</placekt>\n <placekey>Hawaii</placekey>\n <placekey>Oahu</placekey>\n <placekey>Pacific islands</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>Users are advised to read the dataset\'s metadata and USGS SIR 2015-5164 thoroughly to understand appropriate use and data limitations. The land-cover attributes of this dataset are not intended to be used for any purposes other than analyzing and interpreting the water-budget components included in this dataset.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey Pacific Islands Water Science Center</cntorg>\n </cntorgp>\n <cntpos>Center Director</cntpos>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Inouye Regional Center</address>\n <address>1845 Wasp Blvd, Bldg 176</address>\n <city>Honolulu</city>\n <state>HI</state>\n <postal>96818</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>808-690-9600</cntvoice>\n <cntfax>808-690-9599</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <browse>\n <browsen>Oahu_predevelopment_browse.png</browsen>\n <browsed>The spatial distribution of mean annual recharge values in the dataset.</browsed>\n <browset>PNG</browset>\n </browse>\n <datacred>U.S. Geological Survey Water Availability and Use Science Program, State of Hawaii Commission on Water Resource Management, City and County of Honolulu Board of Water Supply</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted. Numerical values for the water-budget components were computed by the water-budget model described in USGS SIR 2015-5164.</attraccr>\n </attracc>\n <logic>No spatial overlaps were found in the shapefile associated with this metadata file. Numerical values are within expected ranges.</logic>\n <complete>Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata file carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the dataset has not been conducted. The horizontal accuracy of the polygons of this dataset is a function of the horizontal accuracies of all other datasets used to create this dataset. The horizontal accuracy of each of the other datasets, however, typically was not quantified. Therefore, the horizontal accuracy of this dataset cannot be quantified. See the "Process Steps" section of this metadata file for a list of the other datasets that were used to define the geometry of the polygons in this dataset.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the dataset is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Oki, D.S.</origin>\n <pubdate>2005</pubdate>\n <title>Numerical Simulation of the Effects of Low-Permeability Valley-Fill Barriers and the Redistribution of ground-water withdrawals in the Pearl Harbor Area, Oahu, Hawaii</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://pubs.usgs.gov/sir/2005/5253/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19000101</begdate>\n <enddate>20001231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Oki (2005)</srccitea>\n <srccontr>Agricultural land cover in the Pearl Harbor area during 1900-2000, in roughly 10-year increments.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Rosa, S.N., and Oki, D.S.</origin>\n <pubdate>2010</pubdate>\n <title>Hawaii StreamStats\xe2\x80\x94A web application for defining drainage-basin characteristics and estimating peak-streamflow statistics</title>\n <geoform>Raster and Vector Digital Data Sets</geoform>\n <pubinfo>\n <pubplace>Honolulu, Hawaii</pubplace>\n <publish>U.S. Geological Survey Fact Sheet 2010\xe2\x80\x933052</publish>\n </pubinfo>\n <onlink>https://water.usgs.gov/osw/streamstats/hawaii.html</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>unknown</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Rosa and Oki (2010)</srccitea>\n <srccontr>Source information used to estimate runoff.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Natural Resources Conservation Service</origin>\n <pubdate>2006</pubdate>\n <title>Soil survey geographic (SSURGO) database for the Island of Oahu</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Fort Worth, Texas</pubplace>\n <publish>U.S. Department of Agriculture, Natural Resources Conservation Service</publish>\n </pubinfo>\n <onlink>https://websoilsurvey.sc.egov.usda.gov/App/WebSoilSurvey.aspx</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>unknown</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Natural Resources Conservation Service (2006)</srccitea>\n <srccontr>Source information used to define soil units.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Ekern, P.C., and Chang, J.H.</origin>\n <pubdate>1985</pubdate>\n <title>Pan evaporation; State of Hawai\xe2\x80\x98i, 1894\xe2\x80\x931983</title>\n <geoform>Paper Map</geoform>\n <pubinfo>\n <pubplace>Honolulu, HI</pubplace>\n <publish>State of Hawaii, Department of Land and Natural Resources</publish>\n </pubinfo>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>18940101</begdate>\n <enddate>19831231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Ekern and Chang (1985)</srccitea>\n <srccontr>Defined areas within various ranges of mean annual pan evaporation. Data subsequently not used in water budget.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Frazier, A. G., Giambelluca, T. W., Diaz, H. F. and Needham, H. L.</origin>\n <pubdate>2016</pubdate>\n <title>Comparison of geostatistical approaches to spatially interpolate month-year rainfall for the Hawaiian Islands.</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Malden, Massachusetts</pubplace>\n <publish>International Journal of Climatology</publish>\n </pubinfo>\n <onlink>http://onlinelibrary.wiley.com/doi/10.1002/joc.4437/abstract</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19200101</begdate>\n <enddate>20121231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Frazier and others (2016)</srccitea>\n <srccontr>Source information used to estimate rainfall.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Giambelluca, T.W., Chen, Q., Frazier, A.G., Price, J.P., Chen, Y.-L., Chu, P.-S., Eischeid, J.K., and Delparte, D.M.</origin>\n <pubdate>2013</pubdate>\n <title>Online Rainfall Atlas of Hawaii</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Unknown</pubplace>\n <publish>Bulletin of the American Meteorological Society, v. 94, p. 313-316</publish>\n </pubinfo>\n <onlink>http://rainfall.geography.hawaii.edu/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19780101</begdate>\n <enddate>20071231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Giambelluca and others (2013)</srccitea>\n <srccontr>Source information used to estimate rainfall.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>City and County of Honolulu Board of Water Supply</origin>\n <pubdate>2012</pubdate>\n <title>Main Line</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Honolulu, HI</pubplace>\n <publish>City and County of Honolulu Board of Water Supply</publish>\n </pubinfo>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2012</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Honolulu Board of Water Supply (2012)</srccitea>\n <srccontr>Defined subareas where water-main leakage was applied in the water-budget model.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Rea, A., and Skinner, K.D.</origin>\n <pubdate>2012</pubdate>\n <title>Geospatial datasets for watershed delineation and characterization used in the Hawaii StreamStats web application</title>\n <geoform>Raster and Vector Digital Data Sets</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey Data Series 680</publish>\n </pubinfo>\n <onlink>https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds680_statewidelayers.xml</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>unknown</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Rea and Skinner (2012)</srccitea>\n <srccontr>Source information used to estimate runoff.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Gingerich, S.B., Yeung, C.W., Ibarra, Tracy-Joy N., and Engott, J.A.</origin>\n <pubdate>2007</pubdate>\n <title>Water Use in Wetland Kalo Cultivation in Hawai\xca\xbbi</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://pubs.usgs.gov/of/2007/1157/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>unknown</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Gingerich and others (2007)</srccitea>\n <srccontr>Helped define boundaries of taro pondfields</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Whittier, R.B., and El-Kadi, A.I.</origin>\n <pubdate>2009</pubdate>\n <title>Human and environmental risk ranking of onsite sewage disposal systems</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Honolulu, Hawaii</pubplace>\n <publish>Department of Geology and Geophysics, University of Hawaii at Manoa, Honolulu, Hawaii</publish>\n </pubinfo>\n <onlink>http://health.hawaii.gov/wastewater/files/2015/09/OSDS_OAHU.pdf</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>unknown</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Whittier and El-Kadi (2009)</srccitea>\n <srccontr>Source information used to estimate seepage from cesspools and septic systems.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2010</pubdate>\n <title>LANDFIRE Existing Vegetation Type (Refresh08)</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Sioux Falls, South Dakota</pubplace>\n <publish>Wildland Fire Science, Earth Resources Observation and Science Center</publish>\n </pubinfo>\n <onlink>https://landfire.cr.usgs.gov/viewer/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2010</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>U.S. Geological Survey (2010a)</srccitea>\n <srccontr>Source information used to define 2010 land cover.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2010</pubdate>\n <title>LANDFIRE Biophysical Settings (Refresh08)</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Sioux Falls, South Dakota</pubplace>\n <publish>Wildland Fire Science, Earth Resources Observation and Science Center</publish>\n </pubinfo>\n <onlink>https://landfire.cr.usgs.gov/viewer/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>unknown</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>U.S. Geological Survey (2010b)</srccitea>\n <srccontr>Source information used to define 1870 land cover.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2006</pubdate>\n <title>A GAP analysis of Hawaii</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Honolulu, HI</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://gapanalysis.usgs.gov/gaplandcover/data/download/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2006</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>U.S. Geological Survey (2006)</srccitea>\n <srccontr>Defined the extent of kiawe and other phreatophytes</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>1983</pubdate>\n <title>USGS Elevation Ranges</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Honolulu, HI</pubplace>\n <publish>USGS Digital Elevation Model</publish>\n </pubinfo>\n <onlink>http://planning.hawaii.gov/gis/download-gis-data/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>unknown</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>U.S. Geological Survey (1983)</srccitea>\n <srccontr>Defined the 2,000-ft elevation boundary of the fog zone</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>State of Hawaii</origin>\n <pubdate>2010</pubdate>\n <title>Aquifers (DLNR)</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Honolulu, Hawaii</pubplace>\n <publish>Department of Land and Natural Resources; Commission on Water Resource Management</publish>\n </pubinfo>\n <onlink>http://planning.hawaii.gov/gis/download-gis-data/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>unknown</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>State of Hawaii (2010)</srccitea>\n <srccontr>Source used to delineate the boundaries of aquifer systems defined in the 2008 State of Hawaii Water Resources Protection Plan</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Giambelluca, T.W., Shuai, Xiufu, Barnes, M.L., Alliss, R.J., Longman, R.J., Miura, Tomoaki, Chen, Qi, Frazier, A.G., Mudd, R.G., Cuo, Lan, and Businger, A.D.</origin>\n <pubdate>2014</pubdate>\n <title>Evapotranspiration of Hawaii</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Honolulu, Hawaii</pubplace>\n <publish>Submitted to U.S. Army Corps of Engineers\xe2\x80\x93Honolulu District and Commission on Water Resource Management, State of Hawaii</publish>\n </pubinfo>\n <onlink>http://evapotranspiration.geography.hawaii.edu/downloads.html</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>unknown</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Giambelluca and others (2014)</srccitea>\n <srccontr>Source information used to estimate potential evapotranspiration and canopy cover.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Engott, J.A., Johnson, A.G., Bassiouni, Maoya, and Izuka, S.K.</origin>\n <pubdate>2015</pubdate>\n <title>Spatially distributed groundwater recharge for 2010 land cover estimated using a water-budget model for the Island of O\xe2\x80\x98ahu, Hawai\xe2\x80\x98i</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/sir20155010</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>unknown</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Engott and others (2015)</srccitea>\n <srccontr>Source information used to define areas where main basalt is above sea level</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Gon III, Samuel, The Nature Conservancy</origin>\n <pubdate>unpublished material</pubdate>\n <title>Land cover, 1870</title>\n <geoform>vector and raster digital data</geoform>\n </citeinfo>\n </srccite>\n <typesrc>email</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1870</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>2014</srccurr>\n </srctime>\n <srccitea>Samuel Gon, III (The Nature Conservancy, written commun., 2014)</srccitea>\n <srccontr>Source information used to define 1870 land cover</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Jacobi, James, U.S. Geological Survey</origin>\n <pubdate>unpublished material</pubdate>\n <title>Map of land cover, 1870</title>\n <geoform>maps</geoform>\n </citeinfo>\n </srccite>\n <typesrc>email</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1870</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>2014</srccurr>\n </srctime>\n <srccitea>James Jacobi (USGS, written commun., 2014)</srccitea>\n <srccontr>Source information used to define 1870 land cover</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Used the Intersect tool in Arc Toolbox to combine the following 13 shapefiles: (1) a 2010 land-cover map modified from the LANDFIRE Existing Vegetation Type map (U.S. Geological Survey, 2010a). Modifications to the LANDFIRE map included converting it from a raster dataset to a vector dataset, combining similar land-cover classes, and adding boundaries of golf courses and selected crops. Further details on the development of this 2010 land-cover map are in USGS SIR 2015-5010; (2) a shapefile converted from a raster grid that provides the spatial distribution of monthly rainfall totals during 1920\xe2\x80\x932007 (Frazier and others, 2016), mean monthly and mean annual rainfall (Giambelluca and others, 2013), and mean evapotranspiration and related parameters (Giambelluca and others, 2014); (3) a map of Thiessen polygons for estimating the spatial distribution of daily rainfall in the water-budget model (see fig. 3 in USGS SIR 2015-5010). Thiessen polygons were delineated around selected point features representing locations of rain gages. Locations of rain gages were determined from Giambelluca and others (2013); (4) a map of aspect (windward or leeward), drainage basins of stream-gaging stations selected for the runoff analysis, and catchment zones delineated by Rea and Skinner (2012) (see fig. 7 in USGS SIR 2015-5010); (5) a map of 500-ft. altitude intervals used to define the base of the fog zone at 2,000 ft. (see fig. 4 in USGS SIR 2015-5010); (6) a map defining the spatial distribution of seepage rates from cesspools and septic systems developed on the basis of septic-discharge rates to on-site disposal systems estimated by Whittier and El-Kadi (2009) for tax-map key parcels; (7) a map of soil units (Natural Resources Conservation Service, 2006); (8) a map of aquifer systems as defined by State of Hawaii (2010); (9) a map of areas where the top of the main basalt aquifer is above sea level (Engott and others, 2015); (10) a map of agricultural land cover in the Pearl Harbor area during 1900-10, 1920-29, 1930-39, 1940-49, 1950-59, 1960-69, 1970-74, 1975-79, 1980-84, 1985-89, 1990-94, and 1995-2000 from Oki (2005); (11) a map of mean annual pan evaporation digitized from Ekern and Chang (1985); (12) a map of areas subject to water-main leakage developed by generating 1-meter buffers around water mains 12 inches in diameter or larger on the water-main line-feature dataset (Honolulu Board of Water Supply, 2012); and (13) an 1870 land-cover map (see fig. 5 in SIR 2015-5164). Further details on the development of the 1870 land-cover map are in Appendix 1 of USGS SIR 2015-5164. One or more of the listed shapefiles may not be directly used for the water-budget scenario documented herein. However, these shapefiles were needed for other water-budget scenarios and were therefore included to create a consistent set of subareas for all scenarios.</procdesc>\n <procdate>20150101</procdate>\n </procstep>\n <procstep>\n <procdesc>Used the Dissolve tool in ArcToolbox to dissolve all polygons by all attributes.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n <procstep>\n <procdesc>Used CalculateAreas tool in ArcToolbox to calculate the area of each polygon.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Vector</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>G-polygon</sdtstype>\n <ptvctcnt>441315</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <gridsys>\n <gridsysn>Universal Transverse Mercator</gridsysn>\n <utm>\n <utmzone>4</utmzone>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-159.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000.0</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </utm>\n </gridsys>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.6096</absres>\n <ordres>0.6096</ordres>\n </coordrep>\n <plandu>Meter</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D_North_American_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Attribute Table</enttypl>\n <enttypd>Table containing attribute information associated with the dataset.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>FID</attrlabl>\n <attrdef>Internal feature number</attrdef>\n <attrdefs>Esri</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape</attrlabl>\n <attrdef>Feature geometry.</attrdef>\n <attrdefs>Esri</attrdefs>\n <attrdomv>\n <udom>Defining feature</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Area_SQ_M</attrlabl>\n <attrdef>Area, in square meters.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.000003</rdommin>\n <rdommax>58148.63831</rdommax>\n <attrunit>square meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LC_1870</attrlabl>\n <attrdef>Name of land cover or vegetation, 1870</attrdef>\n <attrdefs>LANDFIRE Biophysical Settings dataset (U.S. Geological Survey, 2010b) and 1870 land-cover maps provided by Samuel Gon, III (The Nature Conservancy, written commun., 2014) and James Jacobi (USGS, written commun., 2014).</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Grass/shrub</edomv>\n <edomvd>Land cover is grass/shrub</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Grassland</edomv>\n <edomvd>Land cover is grassland</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Native forest</edomv>\n <edomvd>Land cover is native forest</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Open native forest (grass/shrub)</edomv>\n <edomvd>Land cover is open native forest (grass/shrub)</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Shrubland</edomv>\n <edomvd>Land cover is shrubland</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Sparse grassland</edomv>\n <edomvd>Land cover is sparse grassland</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Sparsely vegetated</edomv>\n <edomvd>Land cover is sparsely vegetated</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Sugarcane</edomv>\n <edomvd>Land cover is sugarcane</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Taro</edomv>\n <edomvd>Land cover is taro</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Wetland</edomv>\n <edomvd>Land cover is wetland</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Aq_sys</attrlabl>\n <attrdef>Aquifer-system code</attrdef>\n <attrdefs>State of Hawaii Commission on Water Resource Management (2008).</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>Not part of an aquifer system</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30101</edomv>\n <edomvd>Palolo</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30102</edomv>\n <edomvd>Nuuanu</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30103</edomv>\n <edomvd>Kalihi</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30104</edomv>\n <edomvd>Moanalua</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30105</edomv>\n <edomvd>Waialae-West</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30106</edomv>\n <edomvd>Waialae-East</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30201</edomv>\n <edomvd>Waimalu</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30203</edomv>\n <edomvd>Waipahu-Waiawa</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30204</edomv>\n <edomvd>Ewa-Kunia</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30205</edomv>\n <edomvd>Makaiwa</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30301</edomv>\n <edomvd>Nanakuli</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30302</edomv>\n <edomvd>Lualualei</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30303</edomv>\n <edomvd>Waianae</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30304</edomv>\n <edomvd>Makaha</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30305</edomv>\n <edomvd>Keaau</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30401</edomv>\n <edomvd>Mokuleia</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30402</edomv>\n <edomvd>Waialua</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30403</edomv>\n <edomvd>Kawailoa</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30501</edomv>\n <edomvd>Wahiawa</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30601</edomv>\n <edomvd>Koolauloa</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30602</edomv>\n <edomvd>Kahana</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30603</edomv>\n <edomvd>Koolaupoko</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>30604</edomv>\n <edomvd>Waimanalo</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BasltAbvSL</attrlabl>\n <attrdef>Indicates where the top of the main basalt aquifer is above sea level.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>no</edomv>\n <edomvd>A value of \xe2\x80\x9cno\xe2\x80\x9d is indicative of areas where the top of the main basalt aquifer is below sea level.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>yes</edomv>\n <edomvd>A value of \xe2\x80\x9cyes\xe2\x80\x9d is indicative of areas where the top of the main basalt aquifer is above sea level.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rain</attrlabl>\n <attrdef>Mean annual rainfall, in inches, 1978-2007.</attrdef>\n <attrdefs>Values were computed in the water-budget model on the basis of rainfall datasets obtained from Frazier and others (2016) and Giambelluca and others (2013). Refer to USGS SIR 2015-5010 for further information regarding the methods and sources used to compute rainfall.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>20.747</rdommin>\n <rdommax>278.569</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fog</attrlabl>\n <attrdef>Mean annual fog interception, in inches.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>21.27</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Irr</attrlabl>\n <attrdef>Mean annual irrigation, in inches. Irrigation was applied to subareas with taro land cover only at an annual rate of 63.7 inches per year, which is 14 percent of the irrigation rate (455 inches per year) for portions of taro land known to be irrigated and cultivated (see "Irrigation" section in Appendix 1 of SIR 2015-5164). For this scenario, we estimated that only 14 percent of the area with taro land cover in our land-cover map was irrigated and cultivated (see the "Land-Cover Maps" section, in SIR 2015-5164). Owing to uncertainty in the locations of the portions of taro land that were irrigated, the taro-irrigation rate of 455 inches per year was multiplied by 0.14 and the result (63.7 inches per year) was applied uniformly to each subarea with taro land cover.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>63.701</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Dir_RC</attrlabl>\n <attrdef>Mean annual direct recharge, in inches. Direct recharge includes water seepage from cesspools, water mains, reservoirs, and water bodies. The source of direct recharge for a given subarea may be from external sources, including groundwater and imported streamflow.</attrdef>\n <attrdefs>Producer defined and on the basis of rates of wastewater-effluent discharge to parcels with on-site-disposal systems, estimated by Whittier and El-Kadi (2009). Refer to USGS SIR 2015-5010 for further information regarding the methods and sources used to determine direct recharge.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Septic</attrlabl>\n <attrdef>Mean annual septic-system leachate, in inches.</attrdef>\n <attrdefs>Values were computed in the water-budget model on the basis of rates of wastewater-effluent discharge to parcels with on-site-disposal systems, estimated by Whittier and El-Kadi (2009). Refer to USGS SIR 2015-5010 for further information regarding the methods and sources used to determine septic-system leachate.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Runoff</attrlabl>\n <attrdef>Mean annual direct runoff, in inches. Direct runoff does not contribute to net moisture gain within the plant-root zone.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.763</rdommin>\n <rdommax>134.674</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Strm_Drn</attrlabl>\n <attrdef>Mean annual storm-drain capture, in inches.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cnpy_Evap</attrlabl>\n <attrdef>Mean annual canopy evaporation, in inches. Canopy evaporation was computed by the water-budget model for subareas with "native forest" or "open native-forest (grass/shrub)" land covers only. For all remaining subareas, those with nonforest land cover, canopy evaporation is zero.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>40.792</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PNet</attrlabl>\n <attrdef>Mean annual net precipitation, in inches, to the plant-root zone reservoir. This value equals rainfall plus fog interception minus canopy evaporation.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>11.677</rdommin>\n <rdommax>276.711</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>AE</attrlabl>\n <attrdef>Mean annual evapotranspiration, in inches. For subareas with "native forest" or "open native-forest (grass/shrub)" land covers, AE represents the sum of ground evaporation and transpiration from the plant-root-zone reservoir but excludes canopy evaporation. For all remaining subareas, those with nonforest land covers, AE represents total evapotranspiration, or the sum of ground evaporation, transpiration, and canopy evaporation.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4.841</rdommin>\n <rdommax>76.404</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total_ET</attrlabl>\n <attrdef>Mean annual total evapotranspiration, in inches. Total evapotranspiration equals AE for subareas with nonforest land covers and equals AE plus Cnpy_Evap for subareas with "native forest" or "open native-forest (grass/shrub)" land covers.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>7.035</rdommin>\n <rdommax>77.532</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Recharge</attrlabl>\n <attrdef>Mean annual recharge, in inches, for predevelopment conditions (1978-2007 rainfall and 1870 land cover). For subareas with land covers other than taro, recharge was calculated on a daily basis as the residual of the water budget using the recharge-model equations in SIR 2015-5164. Mean annual values for water inflows (PNet + Irr) to the plant-root zone (which includes the soil) may not equal water outflows (Runoff + AE + Recharge) because of changes in soil-moisture storage and because of rounding and averaging of the model results. For subareas with taro land cover, recharge = Taro_irr * Taro_frac + Grass_rech * (1 - Taro_frac). Taro_irr is 455 inches per year and is the irrigation rate for taro, and Taro_frac is 0.14, which is the fraction of the subarea with irrigated taro. Grass_rech equals recharge computed for grassland land cover, which we assumed covered the remaining fraction (0.86, or 1 - Taro_frac) of the subarea without cultivated taro.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.103</rdommin>\n <rdommax>187.368</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the dataset. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the dataset.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata file for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States of America</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Vector Digital Data Set (Polygon)</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>.</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the dataset.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey Pacific Islands Water Science Center</cntorg>\n <cntper>Adam G. Johnson</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>Mailing</addrtype>\n <address>Inouye Regional Center</address>\n <address>1845 Wasp Blvd Bldg 176</address>\n <city>Honolulu</city>\n <state>HI</state>\n <postal>96818</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>808-690-9583</cntvoice>\n <cntfax>808-690-9599</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <mettc>local time</mettc>\n </metainfo>\n</metadata>' |
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4. [Transect points collected during bathymetric survey of lower Sixmile Creek reservoir, Ithaca, NY, 2015](/catalog/folder/57eac657e4b09082500db18b)
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## Dates
Publication Date2016Start Date2015-11-16End Date2015-11-20
## Citation
Wernly, J.F., Zajd, H.J., Jr., and Coon, W.F., 2016, Geospatial dataset of bathymetric survey of lower Sixmile Creek reservoir, Ithaca, New York, 2015: U.S. Geological Survey data release, https://dx.doi.org/10.5066/F7G15Z0S.
## Summary
Water depths were measured during November 2015 and bathymetric elevations were computed for the lower Sixmile Creek reservoir in Ithaca, Tompkins County, N.Y. These data include ADCP-measured transect data and manually-measured point data collected by the U.S. Geological Survey, Ithaca, N.Y., during November 16-20, 2015. These data were used by the GIS Program, City of Ithaca, N.Y., to create a bathymetric surface (TIN) of the reservoir.
## Summary
Water depths were measured during November 2015 and bathymetric elevations were computed for the lower Sixmile Creek reservoir in Ithaca, Tompkins County, N.Y. These data include ADCP-measured transect data and manually-measured point data collected by the U.S. Geological Survey, Ithaca, N.Y., during November 16-20, 2015. These data were used by the GIS Program, City of Ithaca, N.Y., to create a bathymetric surface (TIN) of the reservoir.
## Contacts
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:
[William F Coon](/catalog/catalogParty/show?partyId=William+F+Coon)
Originator
:
[John F. Wernly](/catalog/catalogParty/show?partyId=John+F.+Wernly),
[Henry J. Zajd, Jr.](/catalog/catalogParty/show?partyId=Henry+J.+Zajd%2C+Jr.),
[William F. Coon](/catalog/catalogParty/show?partyId=William+F.+Coon)
Metadata Contact
:
[William F Coon](/catalog/catalogParty/show?partyId=William+F+Coon)
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| | | | |
| --- | --- | --- | --- |
| 2015Transect Points\_FGDC.xml<br>_Original FGDC Metadata_ | View | 11.51 KB | application/fgdc+xml |
| | | |
| --- | --- | --- |
| 2015TransectPoints.CPG | | 5 Bytes |
| 2015TransectPoints.dbf | | 7.58 MB |
| 2015TransectPoints.prj | | 639 Bytes |
| 2015TransectPoints.sbn | | 106.5 KB |
| 2015TransectPoints.sbx | | 4.32 KB |
| 2015TransectPoints.shp | | 476.49 KB |
| 2015TransectPoints.shx | | 86.71 KB |
Shapefile:
2015TransectPoints.zip
## Related External Resources
Type: Publication that references this resource
| | |
| --- | --- |
| Bathymetric survey and estimation of storage capacity of lower Sixmile Creek reservoir, Ithaca, New York | [http://dx.doi.org/10.3133/ofr20161157](http://dx.doi.org/10.3133/ofr20161157 "http://dx.doi.org/10.3133/ofr20161157") |
## Purpose
Data were used to estimate the volume of sediment that has accumulated in the reservoir since 1903 and the current water-storage capacity of the reservoir. These results will assist City of Ithaca personnel to make an informed decision regarding the disposition of the 30-ft dam that creates the reservoir. Options being considered include demolition and removal of the dam, renovation of the dam to meet current New York State safety standards, and repair of the gate at the base of the dam to permit use of the reservoir for flood-control purposes.
## [Map](/catalog/item/imap/57eac657e4b09082500db18b)
[](/catalog/item/imap/57eac657e4b09082500db18b)
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## Tags
Categories
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Theme
- [bathymetry data](/catalog/items?q=&filter=tags%3Dbathymetry+data "bathymetry data (bathymetry data, Theme, USGS Thesaurus)")
- [single-beam echo sounder](/catalog/items?q=&filter=tags%3Dsingle-beam+echo+sounder "single-beam echo sounder (single-beam echo sounder, Theme, USGS Thesaurus)")
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- [Ithaca, NY](/catalog/items?q=&filter=tags%3DIthaca%2C+NY "Ithaca, NY (Ithaca, NY, Place, Geographic Names Information System (GNIS))")
- [New York](/catalog/items?q=&filter=tags%3DNew+York "New York (New York, Place, Geographic Names Information System (GNIS))")
- [Sixmile Creek](/catalog/items?q=&filter=tags%3DSixmile+Creek "Sixmile Creek (Sixmile Creek, Place, Geographic Names Information System (GNIS))")
- [Tompkins County, NY](/catalog/items?q=&filter=tags%3DTompkins+County%2C+NY "Tompkins County, NY (Tompkins County, NY, Place, Geographic Names Information System (GNIS))")
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## Provenance
Data sourceInput directly
## Additional Information
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| nativeCrs | EPSG:102716 |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>John F. Wernly</origin>\n <origin>Henry J. Zajd, Jr.</origin>\n <origin>William F. Coon</origin>\n <pubdate>2016</pubdate>\n <title>Transect points collected during bathymetric survey of lower Sixmile Creek reservoir, Ithaca, New York, 2015</title>\n <geoform>Esri shapefiles (points and line) and TINs</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://dx.doi.org/10.5066/F7G15Z0S</onlink>\n <lworkcit>\n <citeinfo>\n <origin>John F. Wernly, Henry J. Zajd, Jr., and William F. Coon</origin>\n <pubdate>2016</pubdate>\n <title>Bathymetric survey and estimation of storage capacity of lower Sixmile Creek reservoir, Ithaca, New York</title>\n <geoform>USGS Open-file Report</geoform>\n <pubinfo>\n <pubplace>USGS Publication Warehouse</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.3133/ofr20161157</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Water depths were measured during November 2015 and bathymetric elevations were computed for the lower Sixmile Creek reservoir in Ithaca, Tompkins County, N.Y. These data include ADCP-measured transect data and manually-measured point data collected by the U.S. Geological Survey, Ithaca, N.Y., during November 16-20, 2015. These data were used by the GIS Program, City of Ithaca, N.Y., to create a bathymetric surface (TIN) of the reservoir.</abstract>\n <purpose>Data were used to estimate the volume of sediment that has accumulated in the reservoir since 1903 and the current water-storage capacity of the reservoir. These results will assist City of Ithaca personnel to make an informed decision regarding the disposition of the 30-ft dam that creates the reservoir. Options being considered include demolition and removal of the dam, renovation of the dam to meet current New York State safety standards, and repair of the gate at the base of the dam to permit use of the reservoir for flood-control purposes.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20151116</begdate>\n <enddate>20151120</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>849088.940065</westbc>\n <eastbc>850603.419647</eastbc>\n <northbc>883555.228336</northbc>\n <southbc>882751.945166</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>bathymetry data</themekey>\n <themekey>single-beam echo sounder</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:57eac657e4b09082500db18b</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Ithaca, NY</placekey>\n <placekey>Tompkins County, NY</placekey>\n <placekey>New York</placekey>\n <placekey>Sixmile Creek</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>William F Coon</cntper>\n <cntorg>U.S. Geological Survey, Northeast Region</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>30 Brown Road</address>\n <city>Ithaca</city>\n <state>NY</state>\n <postal>14850</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>607-266-0217 x3019</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>GIS maps were created by the GIS Program, City of Ithaca, NY. Survey was funded by City of Ithaca and NYS Department of State.</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>See report referenced under "Citation Information" for details on the accuracy of the bathymetric elevations.</attraccr>\n </attracc>\n <logic>See report referenced under "Citation Information" for details on quality-assurance steps that were followed.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>See report referenced under "Citation Information" for details on the horizontal positional accuracy of the survey points.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>See report referenced under "Citation Information" for details on the vertical positional accuracy of the survey points.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Reservoir water depths were measured either with an echo-sounder (a component of an acoustic Doppler current profiler) or manually with a stadia rod. Measured and recorded depths were checked for inconsistencies or errors. Reservoir bottom elevations were computed be subtracting the depths from the elevation of the water surface, which was assumed to be constant across the reservoir for a given survey day. Georeferenced elevations were forwarded to the GIS Program, City of Ithaca, which created a TIN from the data.</procdesc>\n <procdate>20151215</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Transverse Mercator</mapprojn>\n <transmer>\n <sfctrmer>0.9999375</sfctrmer>\n <longcm>-76.58333333</longcm>\n <latprjo>40.0</latprjo>\n <feast>820208.33333333</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>0.0032808</absres>\n <ordres>0.0032808</ordres>\n </coordrep>\n <plandu>SURVEY_FEET</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>North American Datum of 1983</horizdn>\n <semiaxis />\n <denflat />\n </geodetic>\n </horizsys>\n <vertdef>\n <altsys>\n <altdatum>North American Vertical Datum of 1988</altdatum>\n <altres>0.01</altres>\n <altunits>feet</altunits>\n <altenc>Explicit elevation coordinate included with horizontal coordinates</altenc>\n </altsys>\n </vertdef>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>TransectPoints_2015</enttypl>\n <enttypd>Horizontal locations and elevations of reservoir bottom used to create bathymetric surface.</enttypd>\n <enttypds>J.F. Wernly, USGS, Ithaca, NY</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Depth_ft and Depth_m</attrlabl>\n <attrdef>The depth of the water below the water surface in feet and meters, respectively.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>17</rdommax>\n <attrunit>feet or meters, respectively</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Water_Surf</attrlabl>\n <attrdef>Elevation of reservoir water surface at time of survey, in feet NAVD 88</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <edom>\n <edomv>582.48 or 582.53</edomv>\n <edomvd>Constant value for given day of data collection</edomvd>\n <edomvds>Producer defined.</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Elev_ft</attrlabl>\n <attrdef>Reservoir bottom elevation, in feet, computed by subtracting Depth_ft from Water_Surf.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>565</rdommin>\n <rdommax>583</rdommax>\n <attrunit>feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Elev_m</attrlabl>\n <attrdef>Reservoir bottom elevation, in meters, computed by dividing Elev_ft by 3.2808.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>172</rdommin>\n <rdommax>178</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, MS 302</address>\n <city>Lakewood</city>\n <state>Colorado</state>\n <postal>80228</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>http://dx.doi.org/10.5066/F7G15Z0S</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n <techpreq>This dataset is in Esri shapefile format. The layers were created with ArcGIS version 10.3.1. The user would need this software to view the data.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20200825</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>William F Coon</cntper>\n <cntorg>U.S. Geological Survey, Northeast Region</cntorg>\n </cntperp>\n <cntpos>Hydrologist (Geol)</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>30 Brown Road</address>\n <city>Ithaca</city>\n <state>NY</state>\n <postal>14850</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>607-266-0217 x3019</cntvoice>\n <cntfax>607-266-0521</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [Gridded earthquake ground motions for the 2020 NEHRP Recommended Seismic Provisions and 2022 ASCE/SEI 7 Standard](/catalog/item/5c869110e4b09388244b3d48)
2. [2 : Maximum Considered Earthquake Geometric Mean Peak Ground Accelerations](/catalog/item/5e71be54e4b01d509268916c)
3. [2.5 : Guam & the Northern Mariana Islands](/catalog/folder/5e71c880e4b01d50926891b1)
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## Dates
Publication Date2021-06-11
## Citation
Luco, N., Rezaeian, S., Rukstales, K.S., Powers, P.M., Shumway, A.M., Martinez, E.M., & Smoczyk, G.M., 2021, Gridded earthquake ground motions for the 2020 NEHRP Recommended Seismic Provisions and 2022 ASCE/SEI 7 Standard: U.S. Geological Survey data release, https://doi.org/10.5066/P9I0R4O6.
## Summary
Each of the downloadable files below contains peak ground accelerations on a grid of latitudes and longitudes that cover this geographic region. See the parent item for how Maximum Considered Earthquake Geometric Mean (MCEG) peak ground accelerations are derived from the data in these files.
## Summary
Each of the downloadable files below contains peak ground accelerations on a grid of latitudes and longitudes that cover this geographic region. See the [parent item](http://www.sciencebase.gov/catalog/item/5e71be54e4b01d509268916c) for how Maximum Considered Earthquake Geometric Mean (MCEG) peak ground accelerations are derived from the data in these files.
## Contacts
Creator
:
[Sanaz Rezaeian](/catalog/catalogParty/show?partyId=24469),
[Nicolas Luco](/catalog/catalogParty/show?partyId=6309),
[Kenneth S Rukstales](/catalog/catalogParty/show?partyId=8876)
Contributor
:
[Eric M Martinez](/catalog/catalogParty/show?partyId=6554),
[Gregory M Smoczyk](/catalog/catalogParty/show?partyId=9676)
Point of Contact
:
[Sanaz Rezaeian](/catalog/catalogParty/show?partyId=24469)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5e71c880e4b01d50926891b1?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5e71c880e4b01d50926891b1?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5e71c880e4b01d50926891b1?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| GNMI-2020NEHRP\_2022ASCE7\_MCEG.xml<br>_Original FGDC Metadata_ | View | 15.06 KB | application/fgdc+xml |
| GNMI-2012\_Geomean-UHPGA\_siteClass=A\_NEHRP-2020.csv<br>“Site Class A, Uniform-Hazard Peak Ground Acceleration” | | 496.93 KB | text/csv |
| GNMI-2012\_Geomean-84thPGA\_siteClass=A\_NEHRP-2020.csv<br>“Site Class A, 84th-percentile Peak Ground Acceleration” | | 476.86 KB | text/csv |
| GNMI-2012\_Geomean-UHPGA\_siteClass=B\_NEHRP-2020.csv<br>“Site Class B, Uniform-Hazard Peak Ground Acceleration” | | 496.13 KB | text/csv |
| GNMI-2012\_Geomean-84thPGA\_siteClass=B\_NEHRP-2020.csv<br>“Site Class B, 84th-percentile Peak Ground Acceleration” | | 482.56 KB | text/csv |
| GNMI-2012\_Geomean-UHPGA\_siteClass=BC\_NEHRP-2020.csv<br>“Site Class BC, Uniform-Hazard Peak Ground Acceleration” | | 328.03 KB | text/csv |
| GNMI-2012\_Geomean-84thPGA\_siteClass=BC\_NEHRP-2020.csv<br>“Site Class BC, 84th-percentile Peak Ground Acceleration” | | 314.67 KB | text/csv |
| GNMI-2012\_Geomean-UHPGA\_siteClass=C\_NEHRP-2020.csv<br>“Site Class C, Uniform-Hazard Peak Ground Acceleration” | | 494.35 KB | text/csv |
| GNMI-2012\_Geomean-84thPGA\_siteClass=C\_NEHRP-2020.csv<br>“Site Class C, 84th-percentile Peak Ground Acceleration” | | 479.1 KB | text/csv |
| GNMI-2012\_Geomean-UHPGA\_siteClass=CD\_NEHRP-2020.csv<br>“Site Class CD, Uniform-Hazard Peak Ground Acceleration” | | 493.6 KB | text/csv |
| GNMI-2012\_Geomean-84thPGA\_siteClass=CD\_NEHRP-2020.csv<br>“Site Class CD, 84th-percentile Peak Ground Acceleration” | | 479.53 KB | text/csv |
| GNMI-2012\_Geomean-UHPGA\_siteClass=D\_NEHRP-2020.csv<br>“Site Class D, Uniform-Hazard Peak Ground Acceleration” | | 493.61 KB | text/csv |
| GNMI-2012\_Geomean-84thPGA\_siteClass=D\_NEHRP-2020.csv<br>“Site Class D, 84th-percentile Peak Ground Acceleration” | | 472.89 KB | text/csv |
| GNMI-2012\_Geomean-UHPGA\_siteClass=DE\_NEHRP-2020.csv<br>“Site Class DE, Uniform-Hazard Peak Ground Acceleration” | | 493.57 KB | text/csv |
| GNMI-2012\_Geomean-84thPGA\_siteClass=DE\_NEHRP-2020.csv<br>“Site Class DE, 84th-percentile Peak Ground Acceleration” | | 475.12 KB | text/csv |
| GNMI-2012\_Geomean-UHPGA\_siteClass=E\_NEHRP-2020.csv<br>“Site Class E, Uniform-Hazard Peak Ground Acceleration” | | 493.45 KB | text/csv |
| GNMI-2012\_Geomean-84thPGA\_siteClass=E\_NEHRP-2020.csv<br>“Site Class E, 84th-percentile Peak Ground Acceleration” | | 472.57 KB | text/csv |
## [Map](/catalog/item/imap/5e71c880e4b01d50926891b1)
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## Communities
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## Associated Items
- _derivative of_ [Gridded earthquake ground motions for the 2015 NEHRP Recommended Seismic Provisions and 2016 ASCE/SEI 7 Standard](/catalog/item/5d7a78bee4b0c4f70d02a29a "Gridded earthquake ground motions for the 2015 NEHRP Recommended Seismic Provisions and 2016 ASCE/SEI 7 Standard")
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## Provenance
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Luco, Nicolas</origin>\n <origin>Rezaeian, Sanaz</origin>\n <origin>Rukstales, Kenneth S.</origin>\n <origin>Powers, Peter M.</origin>\n <origin>Shumway, Allison M.</origin>\n <origin>Martinez, Eric M.</origin>\n <origin>Smoczyk, Greg M.</origin>\n <pubdate>20210611</pubdate>\n <title>Gridded uniform hazard peak ground acceleration data and 84th-percentile peak ground acceleration data used to calculate the Maximum Considered Earthquake Geometric Mean (MCEG) peak ground acceleration (PGA) values of the 2020 NEHRP Recommended Seismic Provisions and 2022 ASCE/SEI 7 Standard for Guam and the Northern Mariana Islands.</title>\n <geoform>fixed format text files, comma separated values (.csv)</geoform>\n <onlink>https://doi.org/10.5066/P9I0R4O6</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The Maximum Considered Earthquake Geometric Mean (MCEG) peak ground acceleration (PGA) values of the 2020 NEHRP Recommended Seismic Provisions and 2022 ASCE/SEI 7 Standard are derived from the downloadable data files. For each site class, the MCEG peak ground acceleration (PGA_M) is calculated via the following equation:\nPGA_M = min[ PGA_MUH, max( PGA_M84th , PGA_MDLL ) ]\nwhere\nPGA_MUH = uniform-hazard peak ground acceleration\nPGA_M84th = 84th-percentile peak ground acceleration\nPGA_MDLL = deterministic lower limit spectral acceleration</abstract>\n <purpose>The data are used to calculate the Maximum Considered Earthquake Geometric Mean (MCEG) peak ground acceleration (PGA) values of the 2020 NEHRP Recommended Seismic Provisions and 2022 ASCE/SEI 7 Standard.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2020</begdate>\n <enddate>Unknown</enddate>\n </rngdates>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>3-6 years</update>\n </status>\n <spdom>\n <bounding>\n <westbc>139.0</westbc>\n <eastbc>151.0</eastbc>\n <northbc>23.0</northbc>\n <southbc>9.0</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>earthquakes</themekey>\n <themekey>engineering sciences</themekey>\n <themekey>hazards</themekey>\n <themekey>seismology</themekey>\n <themekey>standards</themekey>\n </theme>\n <theme>\n <themekt>none</themekt>\n <themekey>2020 NEHRP</themekey>\n <themekey>2022 ASCE/SEI 7</themekey>\n <themekey>Seismic</themekey>\n <themekey>Risk</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5e71c880e4b01d50926891b1</themekey>\n </theme>\n <place>\n <placekt>http://geonames.usgs.gov/</placekt>\n <placekey>Guam</placekey>\n <placekey>Northern Mariana Islands</placekey>\n <placekey>USA</placekey>\n <placekey>United States</placekey>\n </place>\n <temporal>\n <tempkt>none</tempkt>\n <tempkey>2020</tempkey>\n <tempkey>2022</tempkey>\n </temporal>\n </keywords>\n <accconst>None</accconst>\n <useconst>The data are not to be used for areas outside Guam and the Northern Mariana Islands. Acknowledgment of the U.S. Geological Survey, National Seismic Hazard Mapping Project would be appreciated in products derived from these data.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Nicolas Luco</cntper>\n <cntorg>U.S. Geological Survey - Geologic Hazards Science Center</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Box 25046, MS 966</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>303-273-8683</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <native>Microsoft Windows 10</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>This data set is based on a seismological model. The following report provides information on quality assessment for the data set:\nMueller, C.S., Haller, K.M., Luco, Nicholas, Petersen, M.D., and Frankel, A.D., 2012, Seismic hazard assessment for Guam and the Northern Mariana Islands: U.S. Geological Survey Open-File Report 2012\xe2\x80\x931015, 52 p. https://pubs.usgs.gov/of/2012/1015/</attraccr>\n </attracc>\n <logic>None.</logic>\n <complete>Data outside the physical boundaries of Guam and the Northern Mariana Islands have been included, although they should not be used.</complete>\n <posacc>\n <horizpa>\n <horizpar>The location of features is based on calculations of a seismological model for the study area. The location of each point is considered to be correct within the confines of computer accuracy.</horizpar>\n </horizpa>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>The gridded data are based on the 2012 Seismic Hazard Model for Guam and the Northern Mariana Islands. The uniform-hazard peak ground accelerations are calculated using a suite of hazard curves calculated for an equally spaced grid of points covering Guam and the Northern Mariana Islands. The 84th-percentile peak ground accelerations are also derived from the hazard model. There are separate files for NEHRP site classes A, B, B/C, C, C/D, D, D/E, and E.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Vector</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>Point</sdtstype>\n <ptvctcnt>17061</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.1</latres>\n <longres>0.1</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>D_WGS_1984</horizdn>\n <ellips>World Geodetic System 1984</ellips>\n <semiaxis>6378137</semiaxis>\n <denflat>298.257223563</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-UHPGA_vs30=1500-siteClass=A_NEHRP-2020.csv</enttypl>\n <enttypd>Uniform-hazard peak ground acceleration, geometric mean, NEHRP site class A (Vs30=150 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-84thPGA_vs30=1500-siteClass=A_NEHRP-2020.csv</enttypl>\n <enttypd>84th-percentile peak ground acceleration, geometric mean, NEHRP site class A (Vs30=1500 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-UHPGA_vs30=1080-siteClass=B_NEHRP-2020.csv</enttypl>\n <enttypd>Uniform-hazard peak ground acceleration, geometric mean, NEHRP site class B (Vs30=1080 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-84thPGA_vs30=1080-siteClass=B_NEHRP-2020.csv</enttypl>\n <enttypd>84th-percentile peak ground acceleration, geometric mean, NEHRP site class B (Vs30=1080 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-UHPGA_vs30=760-siteClass=BC_NEHRP-2020.csv</enttypl>\n <enttypd>Uniform-hazard peak ground acceleration, geometric mean, NEHRP site class B/C (Vs30=760 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-84thPGA_vs30=760-siteClass=BC_NEHRP-2020.csv</enttypl>\n <enttypd>84th-percentile peak ground acceleration, geometric mean, NEHRP site class B/C (Vs30=760 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-UHPGA_vs30=530-siteClass=C_NEHRP-2020.csv</enttypl>\n <enttypd>Uniform-hazard peak ground acceleration, geometric mean, NEHRP site class C (Vs30=530 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-84thPGA_vs30=530-siteClass=C_NEHRP-2020.csv</enttypl>\n <enttypd>84th-percentile peak ground acceleration, geometric mean, NEHRP site class C (Vs30=530 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-UHPGA_vs30=365-siteClass=CD_NEHRP-2020.csv</enttypl>\n <enttypd>Uniform-hazard peak ground acceleration, geometric mean, NEHRP site class C/D (Vs30=365 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-84thPGA_vs30=365-siteClass=CD_NEHRP-2020.csv</enttypl>\n <enttypd>84th-percentile peak ground acceleration, geometric mean, NEHRP site class C/D (Vs30=365 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-UHPGA_vs30=260-siteClass=D_NEHRP-2020.csv</enttypl>\n <enttypd>Uniform-hazard peak ground acceleration, geometric mean, NEHRP site class D (Vs30=260 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-84thPGA_vs30=260-siteClass=D_NEHRP-2020.csv</enttypl>\n <enttypd>84th-percentile peak ground acceleration, geometric mean, NEHRP site class D (Vs30=260 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-UHPGA_vs30=185-siteClass=DE_NEHRP-2020.csv</enttypl>\n <enttypd>Uniform-hazard peak ground acceleration, geometric mean, NEHRP site class D/E (Vs30=185 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-84thPGA_vs30=185-siteClass=DE_NEHRP-2020.csv</enttypl>\n <enttypd>84th-percentile peak ground acceleration, geometric mean, NEHRP site class D/E (Vs30=185 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-UHPGA_vs30=150-siteClass=E_NEHRP-2020.csv</enttypl>\n <enttypd>Uniform-hazard peak ground acceleration, geometric mean, NEHRP site class E (Vs30=150 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>GNMI-2012_Geomean-84thPGA_vs30=150-siteClass=E_NEHRP-2020.csv</enttypl>\n <enttypd>84th-percentile peak ground acceleration, geometric mean, NEHRP site class E (Vs30=150 m/s).</enttypd>\n <enttypds>USGS</enttypds>\n </enttyp>\n </detailed>\n <overview>\n <eaover>These files contain a grid of points. The first line is the header line. Subsequent lines contain the latitude and longitude of the point followed by the uniform-hazard peak ground acceleration, or 84th-percentile peak ground acceleration value for that single geographic point. Acceleration values are in units of g.</eaover>\n <eadetcit>none</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Lakewood</city>\n <state>CO</state>\n <postal>80215</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <resdesc>Downloadable fixed format data file in ASCII text format.</resdesc>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>fixed format text file (csv)</formname>\n <formvern>1.0</formvern>\n <formspec>comma separated values</formspec>\n <formcont>Gridded data used to determine maximum considered earthquake geometric mean peak ground accelerations for Guam and the Northern Mariana Islands for the 2020 NEHRP Recommended Seismic Provisions and 2022 ASCE/SEI 7.</formcont>\n <filedec>Files may need to be decompressed using winzip or similar utility</filedec>\n <transize>1.8</transize>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9I0R4O6</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>none</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20210611</metd>\n <metc>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - Geologic Hazards Science Center</cntorg>\n <cntper>Ken Rukstales</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Box 25046, MS 966</address>\n <city>Lakewood</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>303-273-8677</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standards for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <mettc>local time</mettc>\n </metainfo>\n</metadata>' |
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3. [Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1](/catalog/folder/5d38b38de4b01d82ce8b947c)
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## Dates
Metadata Creation Date2019-07-24Publication Date2019-09-13
## Citation
Donovan, G.C., Hurtado, A.M., and Wieferich, D.J., 2019, Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1- wsr\_nhdpv2.1: U.S. Geological Survey data release, https://doi.org/10.5066/P9NWZ15L.
## Summary
These data depict the National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1) flowline representation of the National Wild and Scenic Rivers System throughout the conterminous United States as of 2018. U.S. Forest Service geospatial data on National Wild and Scenic River segments (USFS WSR Segment) from 3/1/2016 were joined to the NHDPlusV2.1 to create the Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1 (wsr\_nhdpv2.1) data. To ensure these data correctly represented the NHDPlusV2.1 flowline delineation of the National Wild and Scenic Rivers System, each wsr\_nhdpv2.1 river segment was examined against the USFS WSR Segment data to check for duplication and/or omission of Wild and Scenic River segments. Spatial information from \[...\]
## Summary
These data depict the National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1) flowline representation of the National Wild and Scenic Rivers System throughout the conterminous United States as of 2018. U.S. Forest Service geospatial data on National Wild and Scenic River segments (USFS WSR Segment) from 3/1/2016 were joined to the NHDPlusV2.1 to create the Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1 (wsr\_nhdpv2.1) data. To ensure these data correctly represented the NHDPlusV2.1 flowline delineation of the National Wild and Scenic Rivers System, each wsr\_nhdpv2.1 river segment was examined against the USFS WSR Segment data to check for duplication and/or omission of Wild and Scenic River segments. Spatial information from the National Wild and Scenic Rivers System (WSR) website was used to compare and improve these data as well. Additional information regarding river and outstanding remarkable value (ORV) descriptions were compiled from the WSR website and information regarding designation reaches, river management agencies, classifications, and ORV designations were compiled from USFS Segments data attribute information. This information was collected in order to track specific details concerning river designations and justify the representation of each river in the wsr\_nhdpv2.1 data.
## Contacts
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:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
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:
[Grace C Donovan](/catalog/catalogParty/show?partyId=77784),
[Alexandrea M. Hurtado](/catalog/catalogParty/show?partyId=Alexandrea+M.+Hurtado),
[Daniel J Wieferich](/catalog/catalogParty/show?partyId=66431)
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:
[Grace C Donovan](/catalog/catalogParty/show?partyId=77784)
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[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
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:
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:
[Core Science Systems](/catalog/catalogParty/show?partyId=Core+Science+Systems)
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:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
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Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| FGDC\_CSDGM.xml<br>_Original FGDC Metadata_ | View | 57.46 KB | application/fgdc+xml |
| ISO-19115-2.xml<br>_Original ISO Metadata_ | View | 57.88 KB | application/vnd.iso.19139-2+xml |
| wsr\_nhdpv2.1.geojson | | 14.65 MB | text/plain |
| ISO-19110.xml | | 168.44 KB | application/xml |
| read\_me\_wsr\_nhdpv2.1.pdf | | 66.57 KB | application/pdf |
| intermediate\_wsr\_nhdpv2.1.zip | | 17.11 MB | application/zip |
| river\_information\_wsr\_nhdpv2.1.zip | | 191.58 KB | application/zip |
## Material Request Instructions
## Purpose
These data were developed to provide a NHDPlusV2.1 flowline representation of the National Wild and Scenic Rivers System throughout the conterminous United States. Joining the U.S. Forest Service geospatial data on National Wild and Scenic River segments to the NHDPlusV2.1 enables the linkage of supplemental hydrography-related information that can be viewed in a common spatial context. Making this information more accessible promotes analyses to better understand and manage current and future protections of river systems throughout the United States.
## [Map](/catalog/item/imap/5d38b38de4b01d82ce8b947c)
[](/catalog/item/imap/5d38b38de4b01d82ce8b947c)
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ScienceBase WMS
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## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9NWZ15L |
| File Identifier | file identifier | 4b6a1d18-8a31-4319-97c2-b63706f69f2e |
| File Identifier | file identifier | 4b6a1d18-8a31-4319-97c2-b63706f69f2e |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Donovan, Grace C.</origin>\n <origin>Hurtado, Alexandrea M.</origin>\n <origin>Wieferich, Daniel J.</origin>\n <pubdate>20190913</pubdate>\n <title>Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1</title>\n <geoform>vector digital data</geoform>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9NWZ15L</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>These data depict the National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1) flowline representation of the National Wild and Scenic Rivers System throughout the conterminous United States as of 2018. U.S. Forest Service geospatial data on National Wild and Scenic River segments (USFS WSR Segment) from 3/1/2016 were joined to the NHDPlusV2.1 to create the Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1 (wsr_nhdpv2.1) data. To ensure these data correctly represented the NHDPlusV2.1 flowline delineation of the National Wild and Scenic Rivers System, each wsr_nhdpv2.1 river segment was examined against the USFS WSR Segment data to check for duplication and/or omission of Wild and Scenic River segments. Spatial information from the National Wild and Scenic Rivers System (WSR) website was used to compare and improve these data as well. Additional information regarding river and outstanding remarkable value (ORV) descriptions were compiled from the WSR website and information regarding designation reaches, river management agencies, classifications, and ORV designations were compiled from USFS Segments data attribute information. This information was collected in order to track specific details concerning river designations and justify the representation of each river in the wsr_nhdpv2.1 data.</abstract>\n <purpose>These data were developed to provide a NHDPlusV2.1 flowline representation of the National Wild and Scenic Rivers System throughout the conterminous United States. Joining the U.S. Forest Service geospatial data on National Wild and Scenic River segments to the NHDPlusV2.1 enables the linkage of supplemental hydrography-related information that can be viewed in a common spatial context. Making this information more accessible promotes analyses to better understand and manage current and future protections of river systems throughout the United States.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>2019</caldate>\n </sngdate>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-126.29882811996</westbc>\n <eastbc>-66.357421872351</eastbc>\n <northbc>49.496674525989</northbc>\n <southbc>24.367113561737</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>Wild</themekey>\n <themekey>Scenic</themekey>\n <themekey>River</themekey>\n <themekey>NHDPlus</themekey>\n <themekey>NHS</themekey>\n <themekey>Hydrography</themekey>\n <themekey>Stream</themekey>\n <themekey>USGS</themekey>\n <themekey>USFS</themekey>\n <themekey>National Hydrography Dataset</themekey>\n <themekey>WSR</themekey>\n <themekey>Recreation</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d38b38de4b01d82ce8b947c</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>National</placekey>\n <placekey>Conterminous</placekey>\n <placekey>United States</placekey>\n <placekey>United States of America</placekey>\n <placekey>USA</placekey>\n <placekey>Arizona</placekey>\n <placekey>Arkansas</placekey>\n <placekey>Alabama</placekey>\n <placekey>California</placekey>\n <placekey>Colorado</placekey>\n <placekey>Connecticut</placekey>\n <placekey>Delaware</placekey>\n <placekey>Florida</placekey>\n <placekey>Georgia</placekey>\n <placekey>Idaho</placekey>\n <placekey>Illinois</placekey>\n <placekey>Kentucky</placekey>\n <placekey>Louisiana</placekey>\n <placekey>Maine</placekey>\n <placekey>Massachusetts</placekey>\n <placekey>Michigan</placekey>\n <placekey>Minnesota</placekey>\n <placekey>Mississippi</placekey>\n <placekey>Missouri</placekey>\n <placekey>Montana</placekey>\n <placekey>Nebraska</placekey>\n <placekey>New Hampshire</placekey>\n <placekey>New Jersey</placekey>\n <placekey>New Mexico</placekey>\n <placekey>New York</placekey>\n <placekey>North Carolina</placekey>\n <placekey>Ohio</placekey>\n <placekey>Oregon</placekey>\n <placekey>Pennsylvania</placekey>\n <placekey>South Carolina</placekey>\n <placekey>South Dakota</placekey>\n <placekey>Tennessee</placekey>\n <placekey>Texas</placekey>\n <placekey>Utah</placekey>\n <placekey>Vermont</placekey>\n <placekey>Washington</placekey>\n <placekey>West Virginia</placekey>\n <placekey>Wisconsin</placekey>\n <placekey>Wyoming</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Grace C. Donovan</cntper>\n <cntorg>Core Science Systems: SAS</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810</address>\n <city>Denver</city>\n <state>Colorado</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>303-202-4521</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>These data were initially developed in 2018 through the Geo-launchpad internship program, a mentorship program with the USGS, through UNAVCO. Brandon Serna and Abigail Benson (USGS) for technical assistance.</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Each wsr_nhdpv2.1 river segment with associated information regarding the river name, classification, outstanding remarkable value(s), managing agency, designation reach, and description, was verified using information on designated Wild and Scenic Rivers found on the WSR website and in the attribute information of the USFS WSR Segment data.</attraccr>\n </attracc>\n <logic>The wsr_nhdpv2.1 data were compared against the USFS WSR Segment data to ensure accuracy of the spatially joined USFS WSR Segment data to the NHDPlusV2.1. In Google Earth Pro, each wsr_nhdpv2.1 river segment was examined for duplication or omission of Wild and Scenic River segments.</logic>\n <complete>Designated Wild and Scenic Rivers in the conterminous United States.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Inter-agency Wild and Scenic River Council, US Fish and Wildlife Service, Automated Lands Program (ALP), U.S. Forest Service, National Park Service, and Bureau of Land Management.</origin>\n <pubdate>20190701</pubdate>\n <title>S_USA.WildScenicRiverSegment_LN</title>\n <geoform>vector digital data</geoform>\n <pubinfo>\n <pubplace>N/A</pubplace>\n <publish>United States Geological Survey (USGS)</publish>\n </pubinfo>\n <onlink>https://enterprisecontent-usfs.opendata.arcgis.com/datasets/national-wild-and-scenic-river-segments-feature-layer</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Categorical</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20180601</begdate>\n <enddate>20180801</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Federally designated Wild and Scenic Rivers</srccurr>\n </srctime>\n <srccitea>USFS WSR Segment</srccitea>\n <srccontr>USFS WSR Segment data on National Wild and Scenic River segments were used to depict the Wild and Scenic River System in the conterminous United States. Attribute information from these data was also used to verify river descriptions in the wsr_nhdpv2.1 data.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Environmental Protection Agency (USEPA) and the U.S. Geological Survey (USGS)</origin>\n <pubdate>2012</pubdate>\n <title>National Hydrography Dataset Plus Version 2.1</title>\n <geoform>vector digital data</geoform>\n <pubinfo>\n <pubplace>N/A</pubplace>\n <publish>U.S. Geological Survey (USGS)</publish>\n </pubinfo>\n <onlink>ftp://ftp.horizon-systems.com/NHDplus/NHDPlusV21/Data/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Categorical</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20180601</begdate>\n <enddate>20180801</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>NHDPlus Version 2.1</srccurr>\n </srctime>\n <srccitea>NHDPlusV2.1</srccitea>\n <srccontr>NHDPlusV2.1 data were spatially joined with USFS WSR Segment data, which enabled the linkage of supplemental hydrography-related information into a common spatial context.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Bureau of Land Management, National Park Service, U.S. Fish and Wildlife Service, and U.S. Forest Service.</origin>\n <pubdate>2019</pubdate>\n <title>National Wild and Scenic Rivers System</title>\n <geoform>Textual Description</geoform>\n <pubinfo>\n <pubplace>N/A</pubplace>\n <publish>U.S. Fish and Wildlife Service</publish>\n </pubinfo>\n <onlink>https://www.rivers.gov/index.php</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Website</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20180601</begdate>\n <enddate>20180801</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Designation information on Wild and Scenic Rivers</srccurr>\n </srctime>\n <srccitea>WSR</srccitea>\n <srccontr>Information on Wild and Scenic River names, classifications, categories, outstanding remarkable values (ORVs), managing agencies, descriptions, and designation reaches was collected from these data.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>The NHDPlusV2.1 data were accessed and downloaded in 2014. These data were accessed through the website ftp://ftp.horizon-systems.com/NHDplus/NHDPlusV21/Data/. Under the "Data/" section, each of NHDSnapShot files were downloaded and uploaded into ArcMap.</procdesc>\n <procdate>2014</procdate>\n </procstep>\n <procstep>\n <procdesc>The USFS WSR Segment data were accessed and downloaded in June 2018. These data were originally accessed through the WSR website (https://www.rivers.gov) under "Resources" in the "Maps & GIS" section. Within the "GIS Data" section, the hyperlink labeled "National Wild and Scenic River Segments" connected to the available National Wild and Scenic River Segments data for download on the National Wild and Scenic River Segments (Feature Layer) webpage (https://enterprisecontent-usfs.opendata.arcgis.com/datasets/national-wild-and-scenic-river-segments-feature-layer). Under "Download" within the "Overview" section, several options to download these data were available. A shapefile containing the USFS WSR Segment data was downloaded and these data were imported into ArcMap. To access an updated version of the National Wild and Scenic River Segments data through the WSR website, the user must create an account with ESRI and login. As of July 2019, these data could be accessed through the USDA Forest Service Geodata Clearinghouse (https://data.fs.usda.gov/geodata/edw/datasets.php) by searching the term \xe2\x80\x9cWild and Scenic River\xe2\x80\x9d. Under the feature class labeled \xe2\x80\x9cNational Wild and Scenic River Segments\xe2\x80\x9d these data are available for download as a shapefile or ESRI geodatabase. These data can also be downloaded here: https://opendata.arcgis.com/datasets/d7a7e66ff68044e4be51fbb76ecf0d0b_1.zip?outSR=%7B%22latestWkid%22%3A4269%2C%22wkid%22%3A4269%7D</procdesc>\n <procdate>201806</procdate>\n </procstep>\n <procstep>\n <procdesc>In ArcMap, the NHDSnapShot files of the NHDPlusV2.1 data were merged together by flowline components into a national geodatabase.</procdesc>\n <procdate>201806</procdate>\n </procstep>\n <procstep>\n <procdesc>In ArcMap, the USFS WSR Segment data were spatially joined to the NHDPlusV2.1 using a 250 meter buffer to create the wsr_nhdpv2.1 layer.</procdesc>\n <procdate>201806</procdate>\n </procstep>\n <procstep>\n <procdesc>In ArcMap, the wsr_nhdpv2.1 data were split into two different layers based on Eastern and Western sections of the conterminous U.S. In the intermediate file folder, intermediate_wsr_nhdpv2.1, an example of these data can be downloaded by selecting the 25062018_nhd_west_250m and 25062018_nhd_east_250m files.</procdesc>\n <procdate>201806</procdate>\n </procstep>\n <procstep>\n <procdesc>In ArcMap, the USFS WSR Segment data were split into two different layers based on Eastern and Western sections of the conterminous U.S. In the intermediate file folder, intermediate_wsr_nhdpv2.1, an example of these data can be downloaded by selecting the 25062018_usfs_west_wsr and 25062018_usfs_east_wsr files.</procdesc>\n <procdate>201806</procdate>\n </procstep>\n <procstep>\n <procdesc>The Eastern and Western layers of the wsr_nhdpv2.1 data were exported as two KML files and imported into Google Earth Pro. The Eastern and Western layers of the USFS WSR Segment data were exported as two KML files and imported into Google Earth Pro.</procdesc>\n <procdate>201806</procdate>\n </procstep>\n <procstep>\n <procdesc>To identify the wsr_nhdpv2.1 segments that were irrelevant and/or did not overlap with the USFS WSR Segment data, an arbitrary 100 meter threshold was created. Using the Google Earth Pro Ruler tool, wsr_nhdpv2.1 segments that extended beyond USFS WSR Segments were measured. Any wsr_nhdpv2.1 segment that measured 100 meters or more beyond a USFS WSR Segment had a polygon placed around it and was separated into a new layer, wsr_remove_100m. In the intermediate file folder, intermediate_wsr_nhdpv2.1, an example of these data can be downloaded as by selecting the 13072018_wsr_west_remove_100m and 13072018_wsr_east_remove_100m files.</procdesc>\n <procdate>201807</procdate>\n </procstep>\n <procstep>\n <procdesc>To identify the wsr_nhdpv2.1 segments that failed to represent the USFS WSR Segment data, an arbitrary 100 meter threshold was created. Using the Google Earth Pro Ruler tool, USFS WSR Segments that extended beyond wsr_nhdpv2.1 segments were measured. Any USFS WSR Segment that measured 100 meters or more beyond a wsr_nhdpv2.1 segment had a polygon placed around it and was separated into a new layer, wsr_unrepresented_segment. In the intermediate file folder, intermediate_wsr_nhdpv2.1, an example of these data can be downloaded by selecting the 13072018_wsr_unrepresented_segment and 13072018_wsr_east_unrepresented_segment files.</procdesc>\n <procdate>201806</procdate>\n </procstep>\n <procstep>\n <procdesc>In Google Earth Pro, each wsr_nhdpv2.1 segment with associated information regarding river name, classification, outstanding remarkable value(s), managing agency, and designation reach was verified using Wild and Scenic Rivers System information found on the WSR website and attribute information from the USFS WSR Segment data.</procdesc>\n <procdate>201806</procdate>\n </procstep>\n <procstep>\n <procdesc>The revised Eastern and Western wsr_nhdpv2.1 data were exported as KML files and imported into ArcMap.</procdesc>\n <procdate>201806</procdate>\n </procstep>\n <procstep>\n <procdesc>In ArcMap, the Eastern and Western wsr_nhdpv2.1 data were joined back together to represent Wild and Scenic River segments for the entire conterminous United States.</procdesc>\n <procdate>201806</procdate>\n </procstep>\n <procstep>\n <procdesc>In ArcMap, the layer wsr_remove_100m, containing polygons representing wsr_nhdpv2.1 segments extending 100 meters or more beyond USFS WSR Segments, was used to erase wsr_nhdpv2.1 segments that incorrectly represented Wild and Scenic River segments.</procdesc>\n <procdate>201807</procdate>\n </procstep>\n <procstep>\n <procdesc>In ArcMap, the layer wsr_unrepresented_segment, containing polygons representing USFS WSR Segments that extended 100 meters or more beyond the wsr_nhdpv2.1 river line segment, was used to add in Wild and Scenic River segments that were not represented after linking the USFS WSR Segment data to the NHDPlusV2.1. In the intermediate file folder, intermediate_wsr_nhdpv2.1, an example of these revised data for the Western conterminous U.S. can be downloaded by selecting the 13072018_nhd_west_250m file.</procdesc>\n <procdate>201807</procdate>\n </procstep>\n <procstep>\n <procdesc>In ArcMap, a segment length (in meters) field, SEG_MET, was added to the attribute table of the wsr_nhdpv2.1 data. Wild and Scenic River segment length was calculated using the Geometry tool based on the COMID field originally from the NHDPlusV2.1. The wsr_nhdpv2.1 data were saved as a shapefile.</procdesc>\n <procdate>201807</procdate>\n </procstep>\n <procstep>\n <procdesc>Textual descriptions of Wild and Scenic Rivers and their outstanding remarkable values (ORVs) were collected from the WSR website (https://www.rivers.gov) in July 2018. This information was located in "Designated Rivers" under the "National System" tab found on the WSR homepage. Within "Designated River", each conterminous state was selected. Under each state, each Wild and Scenic River name was hyperlinked to specific river information including textual descriptions of rivers and ORVs. These descriptions were collected in a GoogleSheets file labeled descriptions_wsr_nhdpv2.1.</procdesc>\n <procdate>201807</procdate>\n </procstep>\n <procstep>\n <procdesc>Textual descriptions of Wild and Scenic River designation reaches, management agencies, and information on river classifications were collected from the WSR website (https://www.rivers.gov) in July 2018. This information was located in "Designated Rivers" under the "National System" tab found on the WSR homepage. Within "Designated River", each conterminous state was selected. Under each state, each Wild and Scenic River name was hyperlinked to specific river information. Information was found below the interactive maps of each river specific page. River classifications, ORV designations for specific values (scenic, recreational, geological, fish, wildlife, cultural, historical), and other similar values were collected from attribute information in the USFS WSR Segment data (https://opendata.arcgis.com/datasets/d7a7e66ff68044e4be51fbb76ecf0d0b_1.zip?outSR=%7B%22latestWkid%22%3A4269%2C%22wkid%22%3A4269%7D) in July 2018. River information from the WSR website and the USFS WSR Segment data was combined together by Wild and Scenic River name (WSR_RIVER) and the river identification number (RIVER_ID). This information was collected in a GoogleSheets file labeled qaqc_wsr_nhdpv2.1.</procdesc>\n <procdate>201807</procdate>\n </procstep>\n <procstep>\n <procdesc>Both of the GoogleSheets files, qaqc_wsr_nhdpv2.1 and descriptions_wsr_nhdpv2.1, were exported as JSON files. These files are included in this data release in the river descriptions folder, river_information_wsr_nhdpv2.1.</procdesc>\n <procdate>201907</procdate>\n </procstep>\n <procstep>\n <procdesc>The wsr_nhdpv2.1 shapefile was imported into QGIS.</procdesc>\n <procdate>201907</procdate>\n </procstep>\n <procstep>\n <procdesc>In QGIS, several attribute fields produced in the spatial join between the USFS WSR Segment data to the NHDPlusV2.1 data were removed. These fields included wsr_rvr_nm, WILDSCENIC, tempid, WSR_RIVER1, ORV_CULTUR, ORV_FISH, ORV_GEOLOG, ORV_HISTOR, ORV_RECREA, ORV_SCENIC, ORV_WILDLI, ORV_OTHER, SEGMENT_AC, Distance, and id_riv_glp. These fields were removed from the wsr_nhdpv2.1 attribute table because they provided identical information found in other fields already included in the attribute table or extraneous information.</procdesc>\n <procdate>201907</procdate>\n </procstep>\n <procstep>\n <procdesc>In QGIS, the wsr_nhdpv2.1 was exported as a geoJSON file.</procdesc>\n <procdate>201907</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Geographic Names Information System (GNIS) place names.</indspref>\n <direct>Vector</direct>\n </spdoinfo>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>wsr_nhdpv2.1.geojson Attribute Table</enttypl>\n <enttypd>Table containing Wild and Scenic River attribute information.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>FID</attrlabl>\n <attrdef>Internal feature number as defined by source dataset.</attrdef>\n <attrdefs>ESRI</attrdefs>\n <attrdomv>\n <udom>Sequential unique whole numbers that are automatically generated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape</attrlabl>\n <attrdef>Feature geometry as defined by source dataset.</attrdef>\n <attrdefs>ESRI</attrdefs>\n <attrdomv>\n <udom>Coordinates defining the features.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>COMID</attrlabl>\n <attrdef>Unique identifier for NHD flowlines in the National Hydrography Dataset Plus Version 2.1.</attrdef>\n <attrdefs>NHDPlusV2.1</attrdefs>\n <attrdomv>\n <udom>Common identifier.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SEGMENT_ID</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as a unique, manually generated number that identifies the river and the agency that manages that river by river segment. The number preceding the period is the Congressionally designated river number. The number following the period identifies the managing agency and the particular river section. All Forest Service-managed rivers belong to the \'2000 series\'. For example, ID = 133.2001 is the Allegheny River, managed by the US Forest Service in river section 1. The numbering convention and special cases are described here: For Congressionally Designated Rivers, per Section 3(a) of the Wild and Scenic Rivers Act: 1. Use the river numbers designated by Congress. 2. Each river may be further subdivided into additional segments based on a change in classification. These segments may be prescribed by Congress in statute or they may be delineated through agency planning processes. For consistency, the segments should be numbered from upstream to downstream. a. The segment ID will use the following scheme when a segment is managed by a single agency: BLM: 1000 USFS: 2000 NPS: 3000 FWS: 4000 ACOE: 5000 b. The segment ID will use the following scheme when a single segment is managed by two agencies: Multiple: 6000 For Secretarially Designated Rivers per Section 2(a)(ii) of the Wild and Scenic Rivers Act (WSRA): 1. Since the Wild and Scenic rivers established under this provision of the WSRA are not assigned a number by Congress, the secretarially designated rivers are assigned a sequence, prefaced by \xe2\x80\x9cSD\xe2\x80\x9d (Secretarially Designated). 2. For the purpose of assigning sequential numbers, the Wild and Scenic rivers are listed chronologically based on designation date. When more than one WSR was established on the same date, the rivers are listed alphabetically. 3. Each river can then be further subdivided into additional segments based on a change in classification. For consistency, the segments should be numbered from upstream to downstream a. The segment ID will use the following scheme when a segment is managed by a single agency: BLM: 1000 USFS: 2000 NPS: 3000 FWS: 4000 b. The segment ID will use the following scheme when a single segment is managed by two agencies: Multiple: 6000 c. The segment ID will use the following scheme when a federal land management agency has only Section 7 jurisdiction for a segment: Section 7 Jurisdiction: 7000.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>Manually generated number.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WSR_RIVER</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as the official name of the designated Wild and Scenic River.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>Name as designated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GNIS_NAME</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as the name of the physical river or river segment that make up the wild and scenic river as recorded in the Geographic Names Information System (GNIS).</attrdef>\n <attrdefs>United States Geologic Survey (USGS)</attrdefs>\n <attrdomv>\n <udom>Manual Entry.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CLASS</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as a classification type indicating the amount of development in the river corridor at the time of designation. Three classifications exist: Wild, Scenic, and Recreational. Regardless of classification, each river in the National System is administered with the goal of protecting and enhancing the values that caused it to be designated.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Wild</edomv>\n <edomvd>Wild rivers (W): Those rivers or sections of rivers that are free of impoundments and generally inaccessible except by trail, with watersheds or shorelines essentially primitive and waters unpolluted. These represent vestiges of primitive America.</edomvd>\n <edomvds>https://www.nps.gov/ncrc/programs/rtca/nri/eligb.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Recreational</edomv>\n <edomvd>Recreational rivers (R): Those rivers or sections of rivers that are readily accessible by road or railroad, that may have some development along their shorelines, and that may have undergone some impoundment or diversion in the past.</edomvd>\n <edomvds>https://www.nps.gov/ncrc/programs/rtca/nri/eligb.html</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Scenic</edomv>\n <edomvd>Scenic rivers (S): Those rivers or sections of rivers that are free of impoundments, with shorelines or watersheds still largely primitive and shorelines largely undeveloped, but accessible in places by roads.</edomvd>\n <edomvds>https://www.nps.gov/ncrc/programs/rtca/nri/eligb.html</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>AGENCY</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as the federal government agency that has the primary management responsibility.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NPS</edomv>\n <edomvd>National Park Service (NPS)</edomvd>\n <edomvds>U.S. Forest Service Attribute</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>USFS</edomv>\n <edomvd>United States Forest Service (USFS)</edomvd>\n <edomvds>U.S. Forest Service</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>BLM</edomv>\n <edomvd>Bureau of Land Management (BLM)</edomvd>\n <edomvds>U.S. Forest Service</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>FWS</edomv>\n <edomvd>Fish and Wildlife Services (FWS)</edomvd>\n <edomvds>U.S. Forest Service</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>STATE</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as the state in which an individual river segment is located.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>State proper name(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ORV_LIST</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as ORVs in comma delimited format.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>Textual list of applicable ORVs. The information populated in this field was provided by the U.S. Forest Service data on Wild and Scenic River Segment. Several cells within this field are not populated. There is not enough information within the original data and metadata to explain why some cells are unpopulated and others are populated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RIVER_ID</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as the river identification number.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>Numerical identifier.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SEGMENT_KM</attrlabl>\n <attrdef>Length of the National Hydrography Dataset Plus Version 2.1 representation of Wild and Scenic River segment in kilometers based on segment geometry.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0006624198095958873</rdommin>\n <rdommax>17.63580384112727</rdommax>\n <attrunit>Kilometer</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>descriptions_wsr_nhdpv2.1.json</enttypl>\n <enttypd>Textual descriptions of Wild and Scenic Rivers and their outstanding remarkable values (ORVs). This information links to the wsr_nhdpv2.1 dataset through the common identifiers, SEGMENT_ID, RIVER_ID, GNIS_NAME, WSR_RIVER. This information also links to the qaqc_wsr_nhdpv2.1 information through the common identifiers, WSR_RIVER and RIVER_ID.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>SEGMENT_ID</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as a unique, manually generated number that identifies the river and the agency that manages that river by river segment. The number preceding the period is the Congressionally designated river number. The number following the period identifies the managing agency and the particular river section. All Forest Service-managed rivers belong to the \'2000 series\'. For example, ID = 133.2001 is the Allegheny River, managed by the US Forest Service in river section 1. The numbering convention and special cases are described here: For Congressionally Designated Rivers, per Section 3(a) of the Wild and Scenic Rivers Act: 1. Use the river numbers designated by Congress. 2. Each river may be further subdivided into additional segments based on a change in classification. These segments may be prescribed by Congress in statute or they may be delineated through agency planning processes. For consistency, the segments should be numbered from upstream to downstream. a. The segment ID will use the following scheme when a segment is managed by a single agency: BLM: 1000 USFS: 2000 NPS: 3000 FWS: 4000 ACOE: 5000 b. The segment ID will use the following scheme when a single segment is managed by two agencies: Multiple: 6000 For Secretarially Designated Rivers per Section 2(a)(ii) of the Wild and Scenic Rivers Act (WSRA): 1. Since the Wild and Scenic rivers established under this provision of the WSRA are not assigned a number by Congress, the secretarially designated rivers are assigned a sequence, prefaced by \xe2\x80\x9cSD\xe2\x80\x9d (Secretarially Designated). 2. For the purpose of assigning sequential numbers, the Wild and Scenic rivers are listed chronologically based on designation date. When more than one WSR was established on the same date, the rivers are listed alphabetically. 3. Each river can then be further subdivided into additional segments based on a change in classification. For consistency, the segments should be numbered from upstream to downstream a. The segment ID will use the following scheme when a segment is managed by a single agency: BLM: 1000 USFS: 2000 NPS: 3000 FWS: 4000 b. The segment ID will use the following scheme when a single segment is managed by two agencies: Multiple: 6000 c. The segment ID will use the following scheme when a federal land management agency has only Section 7 jurisdiction for a segment: Section 7 Jurisdiction: 7000.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>Manually generated number.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GNIS_NAME</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as the name of the physical river or river segment that make up the wild and scenic river as recorded in the Geographic Names Information System (GNIS).</attrdef>\n <attrdefs>United States Geologic Survey (USGS)</attrdefs>\n <attrdomv>\n <udom>Manual Entry.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WSR_RIVER</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as the official name of the designated Wild and Scenic River.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>Name as designated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BOTANIC_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "botanic" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>BOTANIC_AND_ECOLOGIC_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "botanic and ecologic" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CULTURAL_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "cultural" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CULTURAL_AND_HISTORIC_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "cultural and historic" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CULTURAL_AND_PREHISTORIC_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "cultural and prehistoric" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CULTURAL_PREHISTORIC_AND_ARCHEOLOGIC_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "cultural, prehistoric, and archeologic" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ECOLOGIC_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "ecologic" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FISH_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "fish" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FISH_AND_WILDLIFE_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "fish and wildlife" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FISHERIES_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "fisheries" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FISHERIES_AND_WILDLIFE_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "fisheries and wildlife" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FISHERIES_AND_AQUATIC_SPECIES_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "fisheries and aquatic species" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FISHERIES_AND_WILDLIFE_HABITAT_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "fisheries and wildlife habitat" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GEOLOGIC_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "geologic" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GEOLOGIC_AND_PALEONTOLOGIC_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "geologic and paleontologic" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HISTORIC_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "historic" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HYDROLOGIC_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "hydrologic" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>NATIVE_AMERICAN_TRADITIONAL_USE_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "Native American traditional use" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PREHISTORIC_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "prehistoric" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RECREATIONAL_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "recreational" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RIPARIAN_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "riparian" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SCENIC_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "scenic" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>VEGETATION_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "vegetation" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WATER_QUALITY_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "water quality" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WILDERNESS_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "wilderness" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WILDLIFE_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "wildlife" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WILDLIFE_AND_PLANT_ORV</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website of a Wild and Scenic River that possess a "wildlife and plant" outstanding remarkable value (ORV).</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RIVER_DESCRIPTION</attrlabl>\n <attrdef>Textual description of a Wild and Scenic River from the National Wild and Scenic Rivers System website.</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual descriptions.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RIVER_ID</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as the river identification number.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>Numerical identifier.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ORV_DESIGNATIONS</attrlabl>\n <attrdef>Defined by the Wild and Scenic Rivers System Website as ORVs in comma delimited format.</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual list of applicable ORVs.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>qaqc_wsr_nhdpv2.1</enttypl>\n <enttypd>Textual descriptions of Wild and Scenic River designated reaches and managing agencies, indication of river classifications, indication of Wild and Scenic Rivers found on the Wild and Scenic Rivers System website that are not present in the U.S. Forest Service geospatial data, indication of rivers that possess specific ORVs (scenic, recreational, geologic, fish, wildlife, cultural, historic), and documentation of other ORVs. This information links to the wsr_nhdpv2.1 data through the common identifiers, WSR_RIVER and RIVER_ID. This information also links to the descriptions_wsr_nhdpv2.1 information through the common identifiers, WSR_RIVER and RIVER_ID.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>STATE</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as the state in which an individual river segment is located.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>State proper name(s).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WSR_RIVER</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as the official name of the designated Wild and Scenic River.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>Name as designated.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RIVER_ID</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments dataset as the river identification number.</attrdef>\n <attrdefs>USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>Numerical identifier.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DESIGNATED_REACH</attrlabl>\n <attrdef>Textual description from the National Wild and Scenic Rivers System website on designated reaches.</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>MANAGING_AGENCY</attrlabl>\n <attrdef>Record of river managing agency from the National Wild and Scenic Rivers System website.</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Textual description.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WILD_CLASSIFICATION</attrlabl>\n <attrdef>Defined by the National Wild and Scenic Rivers System website and U.S. Forest Service geospatial data on National Wild and Scenic River segments as a river either classified as "wild" or not.</attrdef>\n <attrdefs>WSR and USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>The number "1" signifies that a river is classified as "wild". The number "0" signifies that a river is not classified as "wild".</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SCENIC_CLASSIFICATION</attrlabl>\n <attrdef>Defined by the National Wild and Scenic Rivers System website and U.S. Forest Service geospatial data on National Wild and Scenic River segments as a river either classified as "scenic" or not.</attrdef>\n <attrdefs>WSR and USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>The number "1" signifies that a river is classified as "scenic". The number "0" signifies that a river is not classified as "scenic".</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RECREATIONAL_CLASSIFICATION</attrlabl>\n <attrdef>Defined by the National Wild and Scenic Rivers System website and U.S. Forest Service geospatial data on National Wild and Scenic River segments as a river either classified as "recreational" or not.</attrdef>\n <attrdefs>WSR and USFS WSR Segment</attrdefs>\n <attrdomv>\n <udom>The number "1" signifies that a river is classified as "recreational". The number "0" signifies that a river is not classified as "recreational".</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>OMISSION</attrlabl>\n <attrdef>Information derived from the Wild and Scenic Rivers System website and the U.S. Forest Service geospatial data on National Wild and Scenic River segments. This information provided an indication of rivers that are not represented in the U.S. Forest Service geospatial data but found on the National Wild and Scenic Rivers System website.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>The number "1" signifies that a river is omitted or missing from the U.S. Forest Service geospatial data on National Wild and Scenic River segments but found on the National Wild and Scenic Rivers System website. The number "0" signifies that a river is included in the U.S. Forest Service geospatial data on National Wild and Scenic River segments and found on the National Wild and Scenic Rivers System website.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SCENIC_ORV</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments as whether or not a Wild and Scenic River possess a "scenic" ORV.</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>The number "1" signifies that a river posses a "scenic" ORV. The number "0" signifies that a river does not posses a "scenic" ORV.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>RECREATIONAL_ORV</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments as whether or not a Wild and Scenic River possess a "recreational" ORV.</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>The number "1" signifies that a river posses a "recreational" ORV. The number "0" signifies that a river does not posses a "recreational" ORV.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GEOLOGIC_ORV</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments as whether or not a Wild and Scenic River possess a "geologic" ORV.</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>The number "1" signifies that a river posses a "geologic" ORV. The number "0" signifies that a river does not posses a "geologic" ORV.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>FISH_ORV</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments as whether or not a Wild and Scenic River possess a "fish" ORV.</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>The number "1" signifies that a river posses a "fish" ORV. The number "0" signifies that a river does not posses a "fish" ORV.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>WILDLIFE_ORV</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments as whether or not a Wild and Scenic River possess a "wildlife" ORV.</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>The number "1" signifies that a river posses a "wildlife" ORV. The number "0" signifies that a river does not posses a "wildlife" ORV.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CULTURAL_ORV</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments as whether or not a Wild and Scenic River possess a "cultural" ORV.</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>The number "1" signifies that a river posses a "cultural" ORV. The number "0" signifies that a river does not posses a "cultural" ORV.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HISTORIC_ORV</attrlabl>\n <attrdef>Defined by the U.S. Forest Service geospatial data on National Wild and Scenic River segments as whether or not a Wild and Scenic River possess a "historic" ORV.</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>The number "1" signifies that a river posses a "historic" ORV. The number "0" signifies that a river does not posses a "historic" ORV.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>OTHER_ORV</attrlabl>\n <attrdef>Defined by National Wild and Scenic River segments as Wild and Scenic River possess "other" ORVs that are not already represented.</attrdef>\n <attrdefs>WSR</attrdefs>\n <attrdomv>\n <udom>Record of additional ORV(s).</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey</cntper>\n <cntorg>USGS Information Services</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Box 25286, Denver Federal Center</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-ASK-USGS</cntvoice>\n <cntemail>http://answers.usgs.gov</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>GEOJSON</formname>\n <formvern>None</formvern>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9NWZ15L</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Grace C. Donovan</cntper>\n <cntorg>Core Science Systems: SAS</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>303-202-4521</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
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3. [Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016](/catalog/folder/59494ff6e4b062508e359a2f)
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## Dates
Acquisition2012-11-08Acquisition2016-08-15Acquisition2016-08-18Publication Date2018-04-11
## Citation
Legleiter, C.J., 2018, Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016: U.S. Geological Survey data release, https://doi.org/10.5066/F75M647F.
## Summary
Hyperspectral image data from the Niobrara River, a dynamic, sand-bed channel in northern Nebraska, were acquired in November 2012 and again in August 2016 to support research on remote sensing of rivers, particularly retrieval of water depth and tracking of mobile bedforms. These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H manufactured by ITRES Research Limited. The data were acquired from fixed wing aircraft and have spatial resolutions (pixel sizes) from 0.5 - 0.6 m. The data consist of a large number of spectral bands spanning the visible and near infrared wavelengths and have been radiometrically corrected. The image pixel values represent spectral radiance units of 1 uW cm-2 sr-1 nm-1, with \[...\]
## Summary
Hyperspectral image data from the Niobrara River, a dynamic, sand-bed channel in northern Nebraska, were acquired in November 2012 and again in August 2016 to support research on remote sensing of rivers, particularly retrieval of water depth and tracking of mobile bedforms. These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H manufactured by ITRES Research Limited. The data were acquired from fixed wing aircraft and have spatial resolutions (pixel sizes) from 0.5 - 0.6 m. The data consist of a large number of spectral bands spanning the visible and near infrared wavelengths and have been radiometrically corrected. The image pixel values represent spectral radiance units of 1 uW cm-2 sr-1 nm-1, with a data multiplier (scale factor) of 1000. No atmospheric correction was performed for the data provided in this release.
## Contacts
Originator
:
[Carl J Legleiter](/catalog/catalogParty/show?partyId=13411)
Metadata Contact
:
[Carl J Legleiter](/catalog/catalogParty/show?partyId=13411)
Data Owner
:
[Carl J Legleiter](/catalog/catalogParty/show?partyId=13411)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
:
[Office of the Rocky Mountain Regional Director](/catalog/catalogParty/show?partyId=17367)
## Attached Files - sorting - [Metadata First](/catalog/item/get/59494ff6e4b062508e359a2f?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/59494ff6e4b062508e359a2f?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/59494ff6e4b062508e359a2f?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| NiobraraHyperspectralImagesMetadata.xml<br>_Original FGDC Metadata_ | View | 12.58 KB | application/fgdc+xml |
| NiobraraHyperspectralImages.csv | | 210 Bytes | text/csv |
| NR2012\_Norden\_dPdW.hdr | | 3.45 KB | text/plain |
| NR2012\_Norden\_dPdW.dat | | 209.39 MB | application/unknown |
| NR081816sub.hdr | | 5.51 KB | text/plain |
| NR081516sub.hdr | | 5.51 KB | text/plain |
| NR081816sub.bil | | 600.81 MB | application/unknown |
| NR081516sub.bil | | 600.81 MB | application/unknown |
| USGS\_Deschutes\_Niobrara\_Rivers\_Technical\_Data\_Report\_Signed.pdf | | 4.86 MB | application/pdf |
| | | |
| --- | --- | --- |
| NiobraraHyperspectralImagesFootprint.cpg | | 5 Bytes |
| NiobraraHyperspectralImagesFootprint.dbf | | 73 Bytes |
| NiobraraHyperspectralImagesFootprint.prj | | 402 Bytes |
| NiobraraHyperspectralImagesFootprint.sbn | | 132 Bytes |
| NiobraraHyperspectralImagesFootprint.sbx | | 116 Bytes |
| NiobraraHyperspectralImagesFootprint.shp | | 236 Bytes |
| NiobraraHyperspectralImagesFootprint.shx | | 108 Bytes |
Shapefile:
NiobraraHyperspectralImagesFootprint.zip
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Dilbone E, Legleiter CJ, Alexander JS, McElroy B. Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA. River Res Applic. 2018;34:430–441. https://doi.org/10.1002/rra.3270 | [https://doi.org/10.1002/rra.3270](https://doi.org/10.1002/rra.3270 "https://doi.org/10.1002/rra.3270") |
## Purpose
Hyperspectral image data from the Niobrara River, a dynamic, sand-bed channel in northern Nebraska, were acquired in November 2012 and again in August 2016 to support research on remote sensing of rivers, particularly retrieval of water depth and tracking of mobile bedforms.
## Rights
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
## [Map](/catalog/item/imap/59494ff6e4b062508e359a2f)
[](/catalog/item/imap/59494ff6e4b062508e359a2f)
## Spatial Services
ScienceBase WMS
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## Communities
- USGS Data Release Products
- USGS Hydrologic Remote Sensing Branch
## Associated Items
- _related_ [Field spectra from the Niobrara River, Nebraska, August 15-18, 2016](/catalog/item/59484d50e4b062508e34449d "Field spectra from the Niobrara River, Nebraska, August 15-18, 2016")
- _related_ [Field-based bathymetric surveys of the Niobrara River, Nebraska, November 2012 and August 2016](/catalog/item/5949a30ce4b062508e359bfd "Field-based bathymetric surveys of the Niobrara River, Nebraska, November 2012 and August 2016")
- [View Associated Items](/catalog/itemLinks?itemId=59494ff6e4b062508e359a2f)
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [bedforms](/catalog/items?q=&filter=tags%3Dbedforms "bedforms (bedforms, Theme, USGS Thesaurus)")
- [depth](/catalog/items?q=&filter=tags%3Ddepth "depth (depth, Theme, USGS Thesaurus)")
- [hyperspectral](/catalog/items?q=&filter=tags%3Dhyperspectral "hyperspectral (hyperspectral, Theme, USGS Thesaurus)")
- [remote sensing](/catalog/items?q=&filter=tags%3Dremote+sensing "remote sensing (remote sensing, Theme, USGS Thesaurus)")
- [rivers](/catalog/items?q=&filter=tags%3Drivers "rivers (rivers, Theme, USGS Thesaurus)")
Place
- [Nebraska](/catalog/items?q=&filter=tags%3DNebraska "Nebraska (Nebraska, Place, Geographic Names Information System (GNIS))")
- [Niobrara River](/catalog/items?q=&filter=tags%3DNiobrara+River "Niobrara River (Niobrara River, Place, Geographic Names Information System (GNIS))")
- [Norden Bridge](/catalog/items?q=&filter=tags%3DNorden+Bridge "Norden Bridge (Norden Bridge, Place, Geographic Names Information System (GNIS))")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
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- [Shapefile](/catalog/items?q=&filter=browseType%3DShapefile "Shapefile")
## Provenance
Data sourceInput directly
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F75M647F |
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| type | MD5 | | |
| geometryType | MultiPolygon |
| name | NiobraraHyperspectralImagesFootprint |
| nativeCrs | EPSG:32614 |
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Build Version: 2.184.0-630-gc5d79ac-0
(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Carl J. Legleiter</origin>\n <pubdate>2018</pubdate>\n <title>Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016</title>\n <geoform>These image data are stored in a .bil file format with an associated header (.hdr) file readable by ENVI, ArcGIS, and possibly other software programs.</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F75M647F</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Hyperspectral image data from the Niobrara River, a dynamic, sand-bed channel in northern Nebraska, were acquired in November 2012 and again in August 2016 to support research on remote sensing of rivers, particularly retrieval of water depth and tracking of mobile bedforms. These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H manufactured by ITRES Research Limited. The data were acquired from fixed wing aircraft and have spatial resolutions (pixel sizes) from 0.5 - 0.6 m. The data consist of a large number of spectral bands spanning the visible and near infrared wavelengths and have been radiometrically corrected. The image pixel values represent spectral radiance units of 1 uW cm-2 sr-1 nm-1, with a data multiplier (scale factor) of 1000. No atmospheric correction was performed for the data provided in this release.</abstract>\n <purpose>Hyperspectral image data from the Niobrara River, a dynamic, sand-bed channel in northern Nebraska, were acquired in November 2012 and again in August 2016 to support research on remote sensing of rivers, particularly retrieval of water depth and tracking of mobile bedforms.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <mdattim>\n <sngdate>\n <caldate>20121108</caldate>\n </sngdate>\n <sngdate>\n <caldate>20160815</caldate>\n </sngdate>\n <sngdate>\n <caldate>20160818</caldate>\n </sngdate>\n </mdattim>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-100.052753</westbc>\n <eastbc>-100.022085</eastbc>\n <northbc>42.790158</northbc>\n <southbc>42.783686</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>remote sensing</themekey>\n <themekey>rivers</themekey>\n <themekey>hyperspectral</themekey>\n <themekey>depth</themekey>\n <themekey>bedforms</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:59494ff6e4b062508e359a2f</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Niobrara River</placekey>\n <placekey>Nebraska</placekey>\n <placekey>Norden Bridge</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Carl J Legleiter</cntper>\n <cntorg>USGS Geomorphology and Sediment Transport Laboratory</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>4620 Technology Dr., Suite #400</address>\n <city>Golden</city>\n <state>CO</state>\n <postal>80403</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>303-271-3651</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Office of Naval Research, Littoral Geosciences and Optics Program</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>For the images acquired in August 2016, initial radiometric processing and image georeferencing were completed by ITRES Research Limited as a subcontractor for Quantum Spatial Inc. A report providing further detail on the processing of these image data sets was provided by ITRES and is included with the data release as a PDF document.</procdesc>\n <procdate>20160922</procdate>\n </procstep>\n <procstep>\n <procdesc>For the images acquired in August 2016, spatial subsets focused on the Norden Bridge study area were created in the ENVI software program.</procdesc>\n <procdate>20161101</procdate>\n </procstep>\n <procstep>\n <procdesc>For the image acquired in November 2012, the initial georeferencing was poor and resulted in an image that did not align with ground-based survey data. To correct this error, the bundle adjustment parameters describing the sensor\'s position and orientation on the aircraft were modified and the georeferencing process repeated using ITRES software. These adjustments improved the alignment with field data. A subset of the original image focused on the Norden Bridge study area also was created.</procdesc>\n <procdate>20151026</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>The center of the Niobrara River study area is Norden Bridge, which is listed in the Geographic Names Index System (GNIS).</indspref>\n <direct>Raster</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Transverse Mercator</mapprojn>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-99.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>500000.0</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </mapproj>\n <planci>\n <plance>row and column</plance>\n <coordrep>\n <absres>0.5</absres>\n <ordres>0.5</ordres>\n </coordrep>\n <plandu>meters</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>WGS 1984</horizdn>\n <ellips>WGS 1984</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257223563</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Image</enttypl>\n <enttypd>A listing of images included in this data release</enttypd>\n <enttypds>Carl J. Legleiter</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Site</attrlabl>\n <attrdef>Name of the river from which the data were collected.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>Name of the river from which the data were collected.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>AcquisitionDate</attrlabl>\n <attrdef>Date on which the image data was acquired.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Date on which the image data was acquired.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sensor</attrlabl>\n <attrdef>The sensor used to acquire the image data.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>The sensor used to acquire the image data.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PixelSize</attrlabl>\n <attrdef>The spatial (edge) dimension of an individual image pixel, in units of meters.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1000</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Bands</attrlabl>\n <attrdef>Number of spectral bands included in the image data set.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>500</rdommax>\n <attrunit>Number of spectral bands</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ImageFileName</attrlabl>\n <attrdef>Name of the image file containing the data.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Name of the image file containing the data.</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The data you have secured from the U.S. Geological Survey (USGS) database identified as "Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016" have not received USGS approval and as such are provisional and subject to revision. The data are released on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use. Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7B856NC</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees />\n </stdorder>\n <techpreq>The image data are provided in a .bil file format with an associated header (.hdr) file and can be read using various geospatial software. Programs capable of opening these files include ENVI, ArcGIS, and certain functions available within MATLAB.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Carl J Legleiter</cntper>\n <cntorg>USGS Geomorphology and Sediment Transport Laboratory</cntorg>\n </cntperp>\n <cntpos>Research Hydrologist</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>4620 Technology Dr., Suite #400</address>\n <city>Golden</city>\n <state>CO</state>\n <postal>80403</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>303-271-3651</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Appendices for Planetary Geologic Mapping: Program Status and Future Needs](/catalog/folder/5beb65dde4b0b3fc5cf90ed7)
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## Dates
Publication Date2018-11-14Start Date2017-03-18End Date2017-05-25
## Citation
Skinner, J.A., Jr., Huff, A.E., Fortezzo, C.M., Gaither, T., Hare, T.M., Hunter, M.A., and Buban, H., 2018, Appendices for planetary geologic mapping--program status and future needs: U.S. Geological Survey data release, https://doi.org/10.5066/P9PQCENT.
## Summary
Appendices include the original survey, response data, and collated results related to the Open File Report. Geoscience maps, regardless of target body, are spatial and temporal representations of materials and processes recorded on planetary surfaces (Varnes, 1973; Spencer, 2000). The information and context provided by these maps promote basic and applied research within and across various geoscience disciplines. They also provide an important basis for programmatic and policy decisions (for example, H.R. 2763 – 102nd Congress, National Geologic Mapping Act of 1992). Since 1961, planetary (that is, all solid surface bodies in the Solar System beyond Earth) geoscience maps have been used in nearly every facet of planetary exploration, \[...\]
## Summary
Appendices include the original survey, response data, and collated results related to the Open File Report. Geoscience maps, regardless of target body, are spatial and temporal representations of materials and processes recorded on planetary surfaces (Varnes, 1973; Spencer, 2000). The information and context provided by these maps promote basic and applied research within and across various geoscience disciplines. They also provide an important basis for programmatic and policy decisions (for example, H.R. 2763 – 102nd Congress, National Geologic Mapping Act of 1992). Since 1961, planetary (that is, all solid surface bodies in the Solar System beyond Earth) geoscience maps have been used in nearly every facet of planetary exploration, from landing site characterization for human (for example, Grolier, 1970) and robotic (for example, Anderson and Bell, 2010) missions to mineralogical analyses of water-alteration on Mars (for example, Loizeau and others, 2007). Modern planetary geoscience maps are either standardized (those published by the United States Geological Survey (USGS) that require adherence to cartographic standards, conventions, and principles) or non-standardized (those published by other venues that are not required to, but might, adhere to cartographic standards, conventions, and principles). Geoscience mapping and its resultant product, whether standardized or non-standardized, is widely considered a routine contextual investigation that should be performed in advance of and (or) in tandem with surface science investigations. Geoscience mapping campaigns are systematically included in mission proposals as anticipated derivative products (for example, Williams and others, 2014), along with other high-order cartographic data products such as controlled image mosaics and digital terrain models. Additionally, planning documents from multiple planetary science focused programs, organizations, and institutions identify geoscience maps as key scientific and technical contributors to planetary exploration (Planetary Decadal Survey, 2011; MEPAG, 2015; Roadmap to Ocean Worlds, 2018). In line with these community uses and priorities, the National Aeronautics and Space Administration (NASA), in cooperation with the USGS Astrogeology Science Center (Flagstaff, AZ), has built and maintained a non-trivial infrastructure dedicated not only to producing geoscience maps but also to building and disseminating mapping-based resources to the planetary science community.
## Contacts
Point of Contact
:
[James A Skinner](/catalog/catalogParty/show?partyId=James+A+Skinner),
[U.S. Geological Survey, Southwest Region](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey%2C+Southwest+Region)
Originator
:
[James A. Skinner, Jr.](/catalog/catalogParty/show?partyId=James+A.+Skinner%2C+Jr.),
[Alexandra E. Huff](/catalog/catalogParty/show?partyId=Alexandra+E.+Huff),
[Corey M. Fortezzo](/catalog/catalogParty/show?partyId=Corey+M.+Fortezzo),
[Tenielle Gaither](/catalog/catalogParty/show?partyId=Tenielle+Gaither),
[Trent M. Hare](/catalog/catalogParty/show?partyId=Trent+M.+Hare),
[Marc A. Hunter](/catalog/catalogParty/show?partyId=Marc+A.+Hunter),
[Holly Buban](/catalog/catalogParty/show?partyId=Holly+Buban)
Metadata Contact
:
[Marc A Hunter](/catalog/catalogParty/show?partyId=Marc+A+Hunter),
[U.S. Geological Survey, SOUTHWEST REGION](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey%2C+SOUTHWEST+REGION)
Publisher
:
[USGS Astrogeology Science Center](/catalog/catalogParty/show?partyId=USGS+Astrogeology+Science+Center)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[Astrogeology Science Center](/catalog/catalogParty/show?partyId=17473)
USGS Mission Area
:
[Natural Hazards](/catalog/catalogParty/show?partyId=Natural+Hazards)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5beb65dde4b0b3fc5cf90ed7?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5beb65dde4b0b3fc5cf90ed7?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5beb65dde4b0b3fc5cf90ed7?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
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| | | | |
| --- | --- | --- | --- |
| PGM\_Survey\_metadata\_181114.xml<br>_Original FGDC Metadata_ | View | 8.53 KB | application/fgdc+xml |
| PGM\_SURVEY\_APPENDIX\_BINDER\_FEB2019\_CORRECTION.pdf | | 1.79 MB | application/pdf |
## Related External Resources
Type: webLink
| | |
| --- | --- |
| Digital Data | [https://planetarymapping.wr.usgs.gov/](https://planetarymapping.wr.usgs.gov/ "https://planetarymapping.wr.usgs.gov/") |
## Purpose
As part of their charge to maintain and advocate for the construction and use of reliable planetary geoscience map products, and to assess the investment value placed in geoscience map products and processes, the USGS Planetary Mapping Group compiled and disseminated a survey of planetary geoscience makers and users. The resultant survey aimed to better understand the importance, relevance, and usability of planetary geoscience maps within the science community.
## [Map](/catalog/item/imap/5beb65dde4b0b3fc5cf90ed7)
[](/catalog/item/imap/5beb65dde4b0b3fc5cf90ed7)
## Communities
- Astrogeology Science Center
- USGS Data Release Products
## Tags
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Theme
- [Astrogeology](/catalog/items?q=&filter=tags%3DAstrogeology "Astrogeology (Astrogeology, Theme, None)")
- [Geology](/catalog/items?q=&filter=tags%3DGeology "Geology (Geology, Theme, None)")
- [Planetary Science](/catalog/items?q=&filter=tags%3DPlanetary+Science "Planetary Science (Planetary Science, Theme, None)")
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- [geoscientificInformation](/catalog/items?q=&filter=tags%3DgeoscientificInformation "geoscientificInformation (geoscientificInformation, Theme, ISO 19115 Topic Category)")
USGS Scientific Topic Keyword
- [Planetary Sciences](/catalog/items?q=&filter=tags%3DPlanetary+Sciences "Planetary Sciences (Planetary Sciences, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9PQCENT |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>James A. Skinner, Jr.</origin>\n <origin>Alexandra E. Huff</origin>\n <origin>Corey M. Fortezzo</origin>\n <origin>Tenielle Gaither</origin>\n <origin>Trent M. Hare</origin>\n <origin>Marc A. Hunter</origin>\n <origin>Holly Buban</origin>\n <pubdate>20181114</pubdate>\n <title>Appendices for Planetary Geologic Mapping: Program Status and Future Needs</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Flagstaff, AZ</pubplace>\n <publish>USGS Astrogeology Science Center</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9PQCENT</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Appendices include the original survey, response data, and collated results related to the Open File Report. Geoscience maps, regardless of target body, are spatial and temporal representations of materials and processes recorded on planetary surfaces (Varnes, 1973; Spencer, 2000). The information and context provided by these maps promote basic and applied research within and across various geoscience disciplines. They also provide an important basis for programmatic and policy decisions (for example, H.R. 2763 \xe2\x80\x93 102nd Congress, National Geologic Mapping Act of 1992). Since 1961, planetary (that is, all solid surface bodies in the Solar System beyond Earth) geoscience maps have been used in nearly every facet of planetary exploration, from landing site characterization for human (for example, Grolier, 1970) and robotic (for example, Anderson and Bell, 2010) missions to mineralogical analyses of water-alteration on Mars (for example, Loizeau and others, 2007). Modern planetary geoscience maps are either standardized (those published by the United States Geological Survey (USGS) that require adherence to cartographic standards, conventions, and principles) or non-standardized (those published by other venues that are not required to, but might, adhere to cartographic standards, conventions, and principles). Geoscience mapping and its resultant product, whether standardized or non-standardized, is widely considered a routine contextual investigation that should be performed in advance of and (or) in tandem with surface science investigations. Geoscience mapping campaigns are systematically included in mission proposals as anticipated derivative products (for example, Williams and others, 2014), along with other high-order cartographic data products such as controlled image mosaics and digital terrain models. Additionally, planning documents from multiple planetary science focused programs, organizations, and institutions identify geoscience maps as key scientific and technical contributors to planetary exploration (Planetary Decadal Survey, 2011; MEPAG, 2015; Roadmap to Ocean Worlds, 2018). In line with these community uses and priorities, the National Aeronautics and Space Administration (NASA), in cooperation with the USGS Astrogeology Science Center (Flagstaff, AZ), has built and maintained a non-trivial infrastructure dedicated not only to producing geoscience maps but also to building and disseminating mapping-based resources to the planetary science community.</abstract>\n <purpose>As part of their charge to maintain and advocate for the construction and use of reliable planetary geoscience map products, and to assess the investment value placed in geoscience map products and processes, the USGS Planetary Mapping Group compiled and disseminated a survey of planetary geoscience makers and users. The resultant survey aimed to better understand the importance, relevance, and usability of planetary geoscience maps within the science community.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20170318</begdate>\n <enddate>20170525</enddate>\n </rngdates>\n </timeinfo>\n <current>observed</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-180.0000</westbc>\n <eastbc>180.0000</eastbc>\n <northbc>90.0000</northbc>\n <southbc>-90.0000</southbc>\n </bounding>\n <descgeog>World</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>geoscientificInformation</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Planetary Science</themekey>\n <themekey>Geology</themekey>\n <themekey>Astrogeology</themekey>\n <themekey>USGS</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5beb65dde4b0b3fc5cf90ed7</themekey>\n </theme>\n </keywords>\n <accconst>Public domain</accconst>\n <useconst>Pubic domain</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>James A Skinner</cntper>\n <cntorg>U.S. Geological Survey, Southwest Region</cntorg>\n </cntperp>\n <cntpos>Research Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>2255 North Gemini Drive</address>\n <city>Flagstaff</city>\n <state>AZ</state>\n <postal>86001-1637</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>928-556-7043</cntvoice>\n <cntfax>928-556-7014</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>This work was funded through the 2018 NASA-USGS Inter-Agency Agreement.</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>All responses are captured in the survey results</attraccr>\n </attracc>\n <logic>Findings are recommendations are based directly on collated survey responses.</logic>\n <complete>Survey respondents were self-selected, from across the planetary science community, and attendants at major relevant science conferences.</complete>\n <lineage>\n <procstep>\n <procdesc>N/A</procdesc>\n <procdate>20181114</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://planetarymapping.wr.usgs.gov/</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200812</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Marc A Hunter</cntper>\n <cntorg>U.S. Geological Survey, SOUTHWEST REGION</cntorg>\n </cntperp>\n <cntpos>IT Specialist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>2255 North Gemini Drive</address>\n <city>Flagstaff</city>\n <state>AZ</state>\n <postal>86001</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>928-556-7220</cntvoice>\n <cntfax>928-556-7014</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>' |
Generate a FGDC (Federal Geographic Data Committee) XML from following description of datarelease: | [Skip to main content](#sb-container-body)
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Conterminous United States Land Cover Projections - 1992 to 2100](/catalog/folder/5b96c2f9e4b0702d0e826f6d)
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## Dates
Publication Date2018-09-27Start Date1992End Date2100
## Citation
Sohl, T.L., Sayler, K.L., Bouchard, M.A., Reker, R.R., Freisz, A.M., Bennett, S.L., Sleeter, B.M., Sleeter, R.R., Wilson, T., Soulard, C., Knuppe, M., and Van Hofwegen, T., 2018, Conterminous United States Land Cover Projections - 1992 to 2100: U.S. Geological Survey data release, https://doi.org/10.5066/P95AK9HP.
## Summary
The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's Census \[...\]
## Summary
The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate.
The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's Census of Agriculture used to guide the recreation of historical land cover for this period. 2006 to 2100 was considered the future projection time frame. Four scenarios were modeled for 2006 to 2100, corresponding to four major scenario storylines from the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES). The global IPCC SRES (A1B, A2, B1, and B2 scenarios) were downscaled to ecoregions in the conterminous United States, with the USGS Forecasting Scenarios of land use (FORE-SCE) model used to produce landscape projections consistent with the IPCC SRES. The land-use scenarios focused on socioeconomic impacts on anthropogenic land use (demographics, energy use, agricultural economics, and other socioeconomic considerations). The projections provided here are characterized by:
1) 250-meter spatial resolution (250-m pixels)
2) 17 land-cover classes, similar to classes from NLCD
3) Annual land cover maps from 1992 to 2100
4) Spatial coverage for the entire conterminous United States
5) An additional "forest stand age" layer for both the historical period (1992-2005) and the projected period (2006-2100). These data mark age in years since last land-use change or disturbance for forest pixels.
Data are provided here for 1) the historical 1992 to 2005 period, and 2) for each of the four scenarios from 2006 to 2100. 10 .zip files are available for download, 5 representing land-use and land-cover maps for both the historical period and the four future scenarios, and 5 representing forest stand age. Each zip file contains GeoTIFF files with annual maps for the given timeframe. The metadata associated with this data release provides a key for identifying file names associated with each of the .zip files, as well as definitions for the 17 land-cover classes.
A further description of these data can be found at: Sohl, T.L., Sayler, K.L., Bouchard, M.A., Reker, R.R., Freisz, A.M., Bennett, S.L., Sleeter, B.M., Sleeter, R.R., Wilson, T., Soulard, C., Knuppe, M., and Van Hofwegen, T, 2014, Spatially explicit modeling of 1992 to 2100 land cover and forest stand age for the conterminous United States. Ecological Applications 24(5):1115-1136. [https://doi.org/10.1890/13-1245.1](https://doi.org/10.1890/13-1245.1)
## Contacts
Point of Contact
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[Terry L Sohl](/catalog/catalogParty/show?partyId=9712)
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[Terry L Sohl](/catalog/catalogParty/show?partyId=9712)
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[Terry L Sohl](/catalog/catalogParty/show?partyId=9712),
[Benjamin M Sleeter](/catalog/catalogParty/show?partyId=9561),
[Kristi L Sayler](/catalog/catalogParty/show?partyId=9061),
[Michelle Bouchard](/catalog/catalogParty/show?partyId=Michelle+Bouchard),
[Ryan Reker](/catalog/catalogParty/show?partyId=Ryan+Reker),
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[Michelle L Knuppe](/catalog/catalogParty/show?partyId=5589),
[Travis Van Hofwegen](/catalog/catalogParty/show?partyId=60025)
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| | | | |
| --- | --- | --- | --- |
| CONUS\_1992\_2100\_LandCover\_Projections.xml<br>“Metadata - XML format”<br>_Original FGDC Metadata_ | View | 39.96 KB | application/fgdc+xml |
| CONUS\_Landcover\_Historical.zip<br>“Historical land cover, 1992-2005” | | 488.03 MB | application/zip |
| CONUS\_Landcover\_B1.zip<br>“Modeled land cover for B1 scenario, 2006-2100” | | 3.26 GB | application/zip |
| CONUS\_Landcover\_B2.zip<br>“Modeled land cover for B2 scenario, 2006-2100” | | 3.31 GB | application/zip |
| CONUS\_Landcover\_A1B.zip<br>“Modeled land cover for A1B scenario, 2006-2100” | | 3.31 GB | application/zip |
| CONUS\_Landcover\_A2.zip<br>“Modeled land cover for A2 scenario, 2006-2100” | | 3.27 GB | application/zip |
| CONUS\_Forest\_History\_A1B.zip<br>“Modeled forest stand age for A1B scenario, 2006-2100” | | 5.03 GB | application/zip |
| CONUS\_Forest\_History\_A2.zip<br>“Modeled forest stand age for A2 scenario, 2006-2100” | | 4.86 GB | application/zip |
| CONUS\_Forest\_History\_B1.zip<br>“Modeled forest stand age for B1 scenario, 2006-2100” | | 5.23 GB | application/zip |
| CONUS\_Forest\_History\_B2.zip<br>“Modeled forest stand age for B2 scenario, 2006-2100” | | 5.36 GB | application/zip |
| CONUS\_Forest\_History\_Historical.zip<br>“Historical forest stand age, 1992-2005” | | 716.48 MB | application/zip |
| FAQ.html<br>“FAQ” | | 325.09 KB | text/html |
| CONUS\_1992\_2100\_LandCover\_Projections.html<br>“Metadata - HTML format” | | 503.68 KB | text/html |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Sohl, TL, Sayler, KL, Bouchard, MA, Reker, RR, Freisz, AM, Bennett, SL, Sleeter, BM, Sleeter, RR, Wilson, T, Soulard, C, Knuppe, M, and Van Hofwegen, T, 2014, Spatially explicit modeling of 1992 to 2100 land cover and forest stand age for the conterminous United States. Ecological Applications 24(5):1115-1136. https://doi.org/10.1890/13-1245.1 | [https://doi.org/10.1890/13-1245.1](https://doi.org/10.1890/13-1245.1 "https://doi.org/10.1890/13-1245.1") |
## Purpose
The data were produced from the Forecasting Scenarios of land-use (FORE-SCE) model, for the purpose of facilitating research on interactions of land-use change with a host of societal and ecological processes.
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Terry Sohl</origin>\n <origin>Benjamin Sleeter</origin>\n <origin>Kristi Sayler</origin>\n <origin>Michelle Bouchard</origin>\n <origin>Ryan Reker</origin>\n <origin>Rachel Sleeter</origin>\n <origin>Tamara Wilson</origin>\n <origin>Aaron Friesz</origin>\n <origin>Chris Soulard</origin>\n <origin>Stacie Bennett</origin>\n <origin>Michelle Knuppe</origin>\n <origin>Travis Van Hofwegen</origin>\n <pubdate>2014</pubdate>\n <title>Conterminous United States Land Cover Projections - 1992 to 2100</title>\n <geoform>Raster data provided in GeoTiff format</geoform>\n <pubinfo>\n <pubplace>Sioux Falls, SD</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P95AK9HP</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Terry L. Sohl</origin>\n <origin>Kristi L. Sayler</origin>\n <origin>Michelle A. Bouchard</origin>\n <origin>Ryan R. Reker</origin>\n <origin>Aaron M. Freisz</origin>\n <origin>Stacie L. Bennett</origin>\n <origin>Benjamin M. Sleeter</origin>\n <origin>Rachel R. Sleeter</origin>\n <origin>Tamara Wilson</origin>\n <origin>Chris Soulard</origin>\n <origin>Michelle Knuppe</origin>\n <origin>Travis Van Hofwegen</origin>\n <pubdate>2014</pubdate>\n <title>Spatially explicit modeling of 1992 to 2100 land cover and forest stand age for the conterminous United States</title>\n <geoform>Peer-reviewed Journal Article</geoform>\n <pubinfo>\n <pubplace>Ecological Applications 24(5): pp. 1115-1136</pubplace>\n <publish>Ecological Society of America</publish>\n </pubinfo>\n <onlink>https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1890/13-1245.1</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The USGS\xe2\x80\x99s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. \n\nThe year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture\'s Census of Agriculture used to guide the recreation of historical land cover for this period. 2006 to 2100 was considered the future projection time frame. Four scenarios were modeled for 2006 to 2100, corresponding to four major scenario storylines from the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES). The global IPCC SRES (A1B, A2, B1, and B2 scenarios) were downscaled to ecoregions in the conterminous United States, with the USGS Forecasting Scenarios of land use (FORE-SCE) model used to produce landscape projections consistent with the IPCC SRES. The land-use scenarios focused on socioeconomic impacts on anthropogenic land use (demographics, energy use, agricultural economics, and other socioeconomic considerations). The projections provided here are characterized by: \n\n1) 250-meter spatial resolution (250-m pixels) \n2) 17 land-cover classes, similar to classes from NLCD \n3) Annual land cover maps from 1992 to 2100 \n4) Spatial coverage for the entire conterminous United States \n5) An additional "forest stand age" layer for both the historical period (1992-2005) and the projected period (2006-2100). These data mark age in years since last land-use change or disturbance for forest pixels. \n\nData are provided here for 1) the historical 1992 to 2005 period, and 2) for each of the four scenarios from 2006 to 2100. 10 .zip files are available for download, 5 representing land-use and land-cover maps for both the historical period and the four future scenarios, and 5 representing forest stand age. Each zip file contains GeoTIFF files with annual maps for the given timeframe. The metadata associated with this data release provides a key for identifying file names associated with each of the .zip files, as well as definitions for the 17 land-cover classes.</abstract>\n <purpose>The data were produced from the Forecasting Scenarios of land-use (FORE-SCE) model, for the purpose of facilitating research on interactions of land-use change with a host of societal and ecological processes.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>1992</begdate>\n <enddate>2100</enddate>\n </rngdates>\n </timeinfo>\n <current>Modeled time period</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-125.15167596785</westbc>\n <eastbc>-66.264957220208</eastbc>\n <northbc>49.000932513965</northbc>\n <southbc>23.673440501823</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>USGS</themekey>\n <themekey>Land Cover</themekey>\n <themekey>Land Use</themekey>\n <themekey>Model</themekey>\n <themekey>CONUS</themekey>\n <themekey>Conterminous</themekey>\n <themekey>United States</themekey>\n <themekey>Scenario</themekey>\n <themekey>Intergovernmental Panel on Climate Change</themekey>\n <themekey>IPCC</themekey>\n <themekey>Special Report on Emissions Scenarios</themekey>\n <themekey>SRES</themekey>\n <themekey>FORE-SCE</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5b96c2f9e4b0702d0e826f6d</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Conterminous United States</placekey>\n <placekey>CONUS</placekey>\n <placekey>Lower 48</placekey>\n </place>\n <temporal>\n <tempkt>USGS Thesaurus</tempkt>\n <tempkey>Projected</tempkey>\n <tempkey>Scenario</tempkey>\n <tempkey>Future</tempkey>\n </temporal>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Terry Sohl</cntper>\n <cntorg>United States Geological Survey - Earth Resources Observation and Science (EROS) Center</cntorg>\n </cntperp>\n <cntpos>Research Physical Scientist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>47914 252nd Street</address>\n <city>Sioux Falls</city>\n <state>South Dakota</state>\n <postal>57198</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>605-594-6537</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>For the historical time period (1992 to 2005), overall quantities of change very closely match mapped or measured quantities of historical land cover, as provided by a variety of sources (NLCD, USDA\'s Census of Agriculture, USGS Land Cover Trends project). The referenced companion journal publication for this work (Sohl et al. 2014) provides a description of attribute accuracy. \n\nFor the 2006 to 2100 time period, a modeling approach was used to project land-use and land-cover into the future. There are no future reference data sources against which data accuracy can be assessed. These are variable scenarios of potential future landscape change. They are not a prediction or a forecast.</attraccr>\n </attracc>\n <logic>No issues to report.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2005</pubdate>\n <title>National Land Cover Database - 2001</title>\n <geoform>raster</geoform>\n <pubinfo>\n <pubplace>USGS EROS, Sioux Falls, South Dakota</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://www.mrlc.gov/nlcd01_data.php</onlink>\n </citeinfo>\n </srccite>\n <typesrc>2001 era land-cover data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20010101</begdate>\n <enddate>20011231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Data portray land-cover for the 2001 period, the time period needed for this analysis.</srccurr>\n </srctime>\n <srccitea>NLCD</srccitea>\n <srccontr>The 2001 NLCD served as a source of data for determining land-cover change from 1992 to 2001. That information was used to parameterize the model run time from 1992 to 2001.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2002</pubdate>\n <title>National Land Cover Database - 1992</title>\n <geoform>raster</geoform>\n <pubinfo>\n <pubplace>USGS EROS, Sioux Falls, South Dakota</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://www.mrlc.gov/nlcd1992.php</onlink>\n </citeinfo>\n </srccite>\n <typesrc>1992 era land-cover data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19920101</begdate>\n <enddate>19921231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Represented actual land-cover conditions for year 1992</srccurr>\n </srctime>\n <srccitea>NLCD</srccitea>\n <srccontr>Used as starting land-cover for this data set. These data also served to establish statistical relationships between land-cover location, and ancillary datasets such as topography, soils, and climate</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>US Environmental Protection Agency (US EPA)</origin>\n <pubdate>1999</pubdate>\n <title>EPA Level III Ecoregions</title>\n <geoform>Vector</geoform>\n <pubinfo>\n <pubplace>Corvallis, Oregon</pubplace>\n <publish>US Environmental Protection Agency (US EPA)</publish>\n </pubinfo>\n <onlink>https://www.epa.gov/eco-research/level-iii-and-iv-ecoregions-continental-united-states</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Data on ecoregion boundaries for the United States</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19990101</begdate>\n <enddate>19991231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>EPA ecoregions have undergone many revisions. We have used a version from 1999 that is widely used across USGS projects.</srccurr>\n </srctime>\n <srccitea>EPA Ecoregions</srccitea>\n <srccontr>EPA Level III ecoregions were used as a spatial framework for delineating the study area</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>USGS</origin>\n <pubdate>2016</pubdate>\n <title>National Elevation Dataset (NED)</title>\n <geoform>raster</geoform>\n <pubinfo>\n <pubplace>Reston, Virginia</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://lta.cr.usgs.gov/NED</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital elevation / topographic data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20080101</begdate>\n <enddate>20081231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Data represented NED data from 2008 access</srccurr>\n </srctime>\n <srccitea>NED</srccitea>\n <srccontr>Topographic information from NED was used as ancillary data to help establish "suitability" of the landscape to support modeled land-cover classes</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Department of Agriculture</origin>\n <pubdate>2012</pubdate>\n <title>SSURGO soils data</title>\n <geoform>vector</geoform>\n <pubinfo>\n <pubplace>Washington D.C.</pubplace>\n <publish>U.S. Department of Agriculture, Natural Resources Conservation Service</publish>\n </pubinfo>\n <onlink>http://websoilsurvey.nrcs.usda.gov/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Spatially explicit information on soil characteristics</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20120101</begdate>\n <enddate>20121231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Data represented 2012-era SSURGO data processing</srccurr>\n </srctime>\n <srccitea>SSURGO</srccitea>\n <srccontr>SSURGO soils information was used as ancillary data to help establish "suitability" of the landscape to support modeled land-cover classes</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Department of Agriculture</origin>\n <pubdate>2010</pubdate>\n <title>STATSGO soils data</title>\n <geoform>vector</geoform>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>U.S. Department of Agriculture, Natural Resources Conservation Service</publish>\n </pubinfo>\n <onlink>https://catalog.data.gov/dataset/statsgo</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Spatially explicit information on soil characteristics</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20070101</begdate>\n <enddate>20071231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Represented STATSGO data from approximately 2007 time period</srccurr>\n </srctime>\n <srccitea>STATSGO</srccitea>\n <srccontr>STATSGO soils information was used as ancillary data to help establish "suitability" of the landscape to support modeled land-cover classes</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Strengers et al. 2004. The land-use projections and resulting emissions in the IPCC SRES scenarios as simulated by the IMAGE 2.2 model. GeoJournal 61:381-393.</origin>\n <pubdate>2004</pubdate>\n <title>IMAGE 2.2 Model Landscape Projections</title>\n <geoform>Raster</geoform>\n <pubinfo>\n <pubplace>Bilthoven, Netherlands</pubplace>\n <publish>PBL Netherlands Environmental Assessment Agency</publish>\n </pubinfo>\n <onlink>http://models.pbl.nl/image/index.php/Download_packages</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Global land-use projections produced by the IMAGE 2.2 model, in support of IPCC climate assessments</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20040101</begdate>\n <enddate>20041231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Newer IMAGE 3.0 model runs are now available, but IMAGE 2.2 were the most current data available when this project was conducted.</srccurr>\n </srctime>\n <srccitea>IMAGE 2.2</srccitea>\n <srccontr>Global gridded land-cover data from the IMAGE 2.2 model served as a primary source of information in constructing downscaled scenarios represented in these projections. IPCC SRES scenarios A1B, A2, B1, and B2 were extracted from IMAGE 2.2 model runs, and gridded land-cover results downscaled to the conterminous US for regional scenario construction.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Census Bureau</origin>\n <pubdate>2015</pubdate>\n <title>Tiger/Line Shapefiles</title>\n <geoform>vector</geoform>\n <pubinfo>\n <pubplace>Washington DC</pubplace>\n <publish>U.S. Census Bureau</publish>\n </pubinfo>\n <onlink>https://www.census.gov/geo/maps-data/data/tiger-line.html</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Vector data of transportation networks in the U.S. (rail, roads, etc.)</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20150101</begdate>\n <enddate>20151231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Data used was 2015 vintage</srccurr>\n </srctime>\n <srccitea>TIGER</srccitea>\n <srccontr>TIGER/LINE data for roads and rail were used as ancillary data to help establish "suitability" of the landscape to support modeled land-cover classes</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2012</pubdate>\n <title>National Atlas hydrography data</title>\n <geoform>vector</geoform>\n <pubinfo>\n <pubplace>Washington DC</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://nationalmap.gov/small_scale/mld/hydro0m.html</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Spatial data on surface water features in the U.S.</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20120101</begdate>\n <enddate>20121231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>Data used was 2012 vintage</srccurr>\n </srctime>\n <srccitea>Hydrography</srccitea>\n <srccontr>Hydrography data was used as ancillary data to help establish "suitability" of the landscape to support modeled land-cover classes</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>A complete accounting of the modeling process is provided in: \n\nSohl, T.L., Sayler, K.L., Bouchard, M.A., Reker, R.R., Friesz, A.M., Bennett, S.L., Sleeter, B.M., Sleeter, R.R., Wilson, T., Soulard, C., Knuppe, M., and Van Hofwegen, T., 2014. Spatially explicit modeling of 1992-2100 land cover and forest stand age for the conterminous United States. Ecological Applications 24(5):1015.1036.</procdesc>\n <procdate>2013</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Terry L Sohl</cntper>\n <cntorg>Land Resources Team</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>47914 252Nd Street</address>\n <city>Sioux Falls</city>\n <state>SD</state>\n <postal>57198</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>605-594-6537</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Data cover the lower 48, conterminous states of the United States</indspref>\n <direct>Raster</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <planar>\n <mapproj>\n <mapprojn>Albers Equal-Area Conic</mapprojn>\n <albers>\n <stdparll>29.5</stdparll>\n <stdparll>45.5</stdparll>\n <longcm>-96.0</longcm>\n <latprjo>23.0</latprjo>\n <feast>0.0</feast>\n <fnorth>0.0</fnorth>\n </albers>\n </mapproj>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>250.0</absres>\n <ordres>250.0</ordres>\n </coordrep>\n <plandu>METERS</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>North American Datum 1983</horizdn>\n <ellips>GRS80</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Land-use and land-cover classes</enttypl>\n <enttypd>The numbering scheme and class description for each of the 17 modeled land-use and land-cover classes</enttypd>\n <enttypds>Terry Sohl - Research Physical Scientist - USGS EROS</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Land-cover Classes</attrlabl>\n <attrdef>Thematic land-cover labels for each pixel</attrdef>\n <attrdefs>Thematic labels correspond partially to those classes defined by the National Land Cover Database (NLCD)</attrdefs>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Water</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2</edomv>\n <edomvd>Developed</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>3</edomv>\n <edomvd>Mechanically Disturbed National Forests</edomvd>\n <edomvds>National Land Cover Database (NLCD), Protected Area Database (PAD) of the US</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>4</edomv>\n <edomvd>Mechanically Disturbed Other Public Lands</edomvd>\n <edomvds>National Land Cover Database (NLCD), Protected Area Database (PAD) of the United States</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>5</edomv>\n <edomvd>Mechanically Disturbed Private</edomvd>\n <edomvds>National Land Cover Database (NLCD), Protected Area Database (PAD) of the United States</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>6</edomv>\n <edomvd>Mining</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>7</edomv>\n <edomvd>Barren</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>8</edomv>\n <edomvd>Deciduous Forest</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>9</edomv>\n <edomvd>Evergreen Forest</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>10</edomv>\n <edomvd>Mixed Forest</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>11</edomv>\n <edomvd>Grassland</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>12</edomv>\n <edomvd>Shrubland</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>13</edomv>\n <edomvd>Cropland</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>14</edomv>\n <edomvd>Hay/Pasture Land</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>15</edomv>\n <edomvd>Herbaceous Wetland</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>16</edomv>\n <edomvd>Woody Wetland</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>17</edomv>\n <edomvd>Perennial Ice/Snow</edomvd>\n <edomvds>National Land Cover Database (NLCD)</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Map Extent and Coordinates</enttypl>\n <enttypd>Corner coordinate values for the GeoTIFF files, in meters. Coordinate system is Albers Equal-Area Conic projection, described elsewhere in this metadata</enttypd>\n <enttypds>Modeled data coordinates</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Map coordinates</attrlabl>\n <attrdef>Corner coordinate values for the GeoTIFF files, in meters. Coordinate system is Albers Equal-Area Conic projection, described elsewhere in this metadata</attrdef>\n <attrdefs>Standard map coordinates</attrdefs>\n <attrdomv>\n <edom>\n <edomv>-2357828.184</edomv>\n <edomvd>Upper Left X Coordinate</edomvd>\n <edomvds>Mapped corner coordinate</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>3175167.633</edomv>\n <edomvd>Upper-left Y Coordinate</edomvd>\n <edomvds>Mapped Corner Coordinate</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>2282671.816</edomv>\n <edomvd>Lower-right X coordinate</edomvd>\n <edomvds>Mapped corner coordinate</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>238667.633</edomv>\n <edomvd>Lower-right Y coordinate</edomvd>\n <edomvds>Mapped corner coordinate</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Zipped File Names - Descriptions</enttypl>\n <enttypd>Descriptions of the embedded contents of each of the distributed ZIP files in this database</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>CONUS_Landcover_Historical.zip</attrlabl>\n <attrdef>Files contained within this ZIP file represent "historical" land cover for the 1992 to 2005 time period. GeoTIFF files for each year within this time range are included within the ZIP file.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>CONUS_Historical_yXXXX.tif</edomv>\n <edomvd>Each GeoTIFF file embedded within the ZIP file continues land-use and land-cover data for the conterminous United States for that year. For example, the file CONUS_Historical_y1992.tif represents land-use and land-cover data for the year 1992, for the conterminous United States.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CONUS_Landcover_A1B.zip</attrlabl>\n <attrdef>Files contained within this ZIP file represent modeled land cover for the 2006 to 2100 time period. These data represent the "A1B" scenario from the Intergovernmental Panel on Climate Change (IPCC)\'s Special Report on Emissions Scenarios (SRES). GeoTIFF files for each year within this time range are included within the ZIP file.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>CONUS_A1B_y2XXX.tif</edomv>\n <edomvd>Each GeoTIFF file embedded within the ZIP file continues land-use and land-cover data for the conterminous United States for that year, for the IPCC SRES A1B scenario. For example, the file CONUS_A1B_y2050.tif represents land-use and land-cover data for the year 2050, for the conterminous United States, for the IPCC SRES A1B scenario.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CONUS_Landcover_A2.zip</attrlabl>\n <attrdef>Files contained within this ZIP file represent modeled land cover for the 2006 to 2100 time period. These data represent the "A2" scenario from the Intergovernmental Panel on Climate Change (IPCC)\'s Special Report on Emissions Scenarios (SRES). GeoTIFF files for each year within this time range are included within the ZIP file.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>CONUS_A2_y2XXXX.tif</edomv>\n <edomvd>Each GeoTIFF file embedded within the ZIP file continues land-use and land-cover data for the conterminous United States for that year, for the IPCC SRES A2 scenario. For example, the file CONUS_A2_y2050.tif represents land-use and land-cover data for the year 2050, for the conterminous United States, for the IPCC SRES A2 scenario.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CONUS_Landcover_B1.zip</attrlabl>\n <attrdef>Files contained within this ZIP file represent modeled land cover for the 2006 to 2100 time period. These data represent the "B1" scenario from the Intergovernmental Panel on Climate Change (IPCC)\'s Special Report on Emissions Scenarios (SRES). GeoTIFF files for each year within this time range are included within the ZIP file.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>CONUS_B1_y2XXXX.tif</edomv>\n <edomvd>Each GeoTIFF file embedded within the ZIP file continues land-use and land-cover data for the conterminous United States for that year, for the IPCC SRES B1 scenario. For example, the file CONUS_B1_y2050.tif represents land-use and land-cover data for the year 2050, for the conterminous United States, for the IPCC SRES B1 scenario.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CONUS_Landcover_B2.zip</attrlabl>\n <attrdef>Files contained within this ZIP file represent modeled land cover for the 2006 to 2100 time period. These data represent the "B2" scenario from the Intergovernmental Panel on Climate Change (IPCC)\'s Special Report on Emissions Scenarios (SRES). GeoTIFF files for each year within this time range are included within the ZIP file.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>CONUS_B2_y2XXXX.tif</edomv>\n <edomvd>Each GeoTIFF file embedded within the ZIP file continues land-use and land-cover data for the conterminous United States for that year, for the IPCC SRES B2 scenario. For example, the file CONUS_B2_y2050.tif represents land-use and land-cover data for the year 2050, for the conterminous United States, for the IPCC SRES B2 scenario.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CONUS_Forest_History_Historical.zip</attrlabl>\n <attrdef>Files contained within this ZIP file represent "historical" forest age data for the 1992 to 2005 time period. GeoTIFF files for each year within this time range are included within the ZIP file. Pixel values for the Forest History data simply represent the number of years since that pixel last experienced a land-use or land-cover change. Events that cause a forest pixel\'s "age" to reset to zero include 1) a clear-cutting event, where the pixel remained as a forest "use", but the forest cover changed, or 2) a change in land-use type.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>historical_forest_history_yXXXX.tif</edomv>\n <edomvd>Files contained within this ZIP file represent "historical" forest history information (age) for the 1992 to 2005 time period. GeoTIFF files for each year within this time range are included within the ZIP file.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CONUS_Forest_History_A1B.zip</attrlabl>\n <attrdef>Files contained within this ZIP file represent forest history (age) data for the 2006 to 2100 time period, for the IPCC\'s SRES A1B scenario. GeoTIFF files for each year within this time range are included within the ZIP file. Pixel values for the Forest History data simply represent the number of years since that pixel last experienced a land-use or land-cover change. Events that cause a forest pixel\'s "age" to reset to zero include 1) a clear-cutting event, where the pixel remained as a forest "use", but the forest cover changed, or 2) a change in land-use type.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>a1b_forest_history_y2XXX.tif</edomv>\n <edomvd>Files contained within this ZIP file represent forest history information (age) for the 2006 to 2100 time period, for the IPCC\'s SRES A1B scenario. GeoTIFF files for each year within this time range are included within the ZIP file.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CONUS_Forest_History_A2.zip</attrlabl>\n <attrdef>Files contained within this ZIP file represent forest history (age) data for the 2006 to 2100 time period, for the IPCC\'s SRES A2 scenario. GeoTIFF files for each year within this time range are included within the ZIP file. Pixel values for the Forest History data simply represent the number of years since that pixel last experienced a land-use or land-cover change. Events that cause a forest pixel\'s "age" to reset to zero include 1) a clear-cutting event, where the pixel remained as a forest "use", but the forest cover changed, or 2) a change in land-use type.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>a2_forest_history_y2XXX.tif</edomv>\n <edomvd>Files contained within this ZIP file represent forest history information (age) for the 2006 to 2100 time period, for the IPCC\'s SRES A2 scenario. GeoTIFF files for each year within this time range are included within the ZIP file.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CONUS_Forest_History_B1.zip</attrlabl>\n <attrdef>Files contained within this ZIP file represent forest history (age) data for the 2006 to 2100 time period, for the IPCC\'s SRES B1 scenario. GeoTIFF files for each year within this time range are included within the ZIP file. Pixel values for the Forest History data simply represent the number of years since that pixel last experienced a land-use or land-cover change. Events that cause a forest pixel\'s "age" to reset to zero include 1) a clear-cutting event, where the pixel remained as a forest "use", but the forest cover changed, or 2) a change in land-use type.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>b1_forest_history_y2XXX.tif</edomv>\n <edomvd>Files contained within this ZIP file represent forest history information (age) for the 2006 to 2100 time period, for the IPCC\'s SRES B1 scenario. GeoTIFF files for each year within this time range are included within the ZIP file.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CONUS_Forest_History_B2.zip</attrlabl>\n <attrdef>Files contained within this ZIP file represent forest history (age) data for the 2006 to 2100 time period, for the IPCC\'s SRES B2 scenario. GeoTIFF files for each year within this time range are included within the ZIP file. Pixel values for the Forest History data simply represent the number of years since that pixel last experienced a land-use or land-cover change. Events that cause a forest pixel\'s "age" to reset to zero include 1) a clear-cutting event, where the pixel remained as a forest "use", but the forest cover changed, or 2) a change in land-use type.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>b2_forest_history_y2XXX.tif</edomv>\n <edomvd>Files contained within this ZIP file represent forest history information (age) for the 2006 to 2100 time period, for the IPCC\'s SRES B2 scenario. GeoTIFF files for each year within this time range are included within the ZIP file.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>Terry Sohl</cntper>\n <cntorg>United States Geological Survey - Earth Resources Observation and Science (EROS) Center</cntorg>\n </cntperp>\n <cntpos>Research Physical Scientist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>47914 252nd Street</address>\n <city>Sioux Falls</city>\n <state>South Dakota</state>\n <postal>57198</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>605-594-6537</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <techpreq>Data are distributed in a compressed ZIP file format. Many data compression software packages may be used to extract the individual image (GeoTIFF) files. The freeware package 7-Zip (available from many locations online) is recommended.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20200818</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Terry Sohl</cntper>\n <cntorg>U.S. Geological Survey - Earth Resources Observation and Science (EROS) Center</cntorg>\n </cntperp>\n <cntpos>Research Physical Scientist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>47914 252nd Street</address>\n <city>Sioux Falls</city>\n <state>South Dakota</state>\n <postal>57198</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>605-594-6537</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
Generate a FGDC (Federal Geographic Data Committee) XML from following description of datarelease: | [Skip to main content](#sb-container-body)
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Farmington Lake Sediment Descriptions, Total Sediment Chemistry, and Batch Experiment Chemistry](/catalog/folder/5e41d3e5e4b0edb47be63c63)
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## Dates
Publication Date2021-01-22Time Period2019-11-01
## Citation
Blake, J.M., Ferguson, C.L., Brown, J.E., and Delay, N., 2021, Farmington Lake Sediment Descriptions, Total Sediment Chemistry, and Batch Experiment Chemistry: U.S. Geological Survey data release, https://doi.org/10.5066/P9KR7NSL.
## Summary
These datasets provide information about the physical properties, total sediment chemistry, and batch experiment chemistry (to evaluate element mobility) of sediment cores from the Farmington Lake reservoir in Farmington, NM. The sediment cores were collected in November 2019.
## Summary
These datasets provide information about the physical properties, total sediment chemistry, and batch experiment chemistry (to evaluate element mobility) of sediment cores from the Farmington Lake reservoir in Farmington, NM. The sediment cores were collected in November 2019.
## Child Items [(2)](/catalog/items?parentId=5e41d3e5e4b0edb47be63c63) - [View children in Folder](/catalog/folder/5e41d3e5e4b0edb47be63c63) - [Search children](/catalog/items?parentId=5e41d3e5e4b0edb47be63c63)
- [Farmington Lake Sediment Batch Experiment Chemistry Results](/catalog/item/5fac365ed34eb413d5df40c4 "Farmington Lake Sediment Batch Experiment Chemistry Results")
- [Farmington Lake Sediment Descriptions and Sediment Chemistry](/catalog/item/5fc7d3a5d34e4b9faad8968e "Farmington Lake Sediment Descriptions and Sediment Chemistry")
## Contacts
Point of Contact
:
[Johanna M Blake](/catalog/catalogParty/show?partyId=69799)
Originator
:
[Johanna M Blake](/catalog/catalogParty/show?partyId=69799),
[Christina L Ferguson](/catalog/catalogParty/show?partyId=70109),
[Jeb E Brown](/catalog/catalogParty/show?partyId=1250),
[Naomi T Delay](/catalog/catalogParty/show?partyId=77404)
Metadata Contact
:
[Johanna M Blake](/catalog/catalogParty/show?partyId=69799)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[New Mexico Water Science Center](/catalog/catalogParty/show?partyId=17377)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5e41d3e5e4b0edb47be63c63?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5e41d3e5e4b0edb47be63c63?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5e41d3e5e4b0edb47be63c63?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item.
| | | | |
| --- | --- | --- | --- |
| Farmington Lake Sediment Descriptions, Total Sediment Chemistry, and Batch Experiment Chemistry.xml<br>_Original FGDC Metadata_ | View | 5.74 KB | application/fgdc+xml |
## Purpose
These data were collected to help in the understanding of the sediment chemistry in Farmington Lake.
## [Map](/catalog/item/imap/5e41d3e5e4b0edb47be63c63)
[](/catalog/item/imap/5e41d3e5e4b0edb47be63c63)
## Spatial Services
ScienceBase WMS
## Communities
- USGS Data Release Products
## Tags
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Theme
- [biota](/catalog/items?q=&filter=tags%3Dbiota "biota (biota, Theme, ISO 19115 Topic Category)")
- [lake sediment](/catalog/items?q=&filter=tags%3Dlake+sediment "lake sediment (lake sediment, Theme, None)")
- [sediment chemistry](/catalog/items?q=&filter=tags%3Dsediment+chemistry "sediment chemistry (sediment chemistry, Theme, None)")
- [sediment physical properties](/catalog/items?q=&filter=tags%3Dsediment+physical+properties "sediment physical properties (sediment physical properties, Theme, None)")
Place
- [Farmington, NM](/catalog/items?q=&filter=tags%3DFarmington%2C+NM "Farmington, NM (Farmington, NM, Place, None)")
USGS Scientific Topic Keyword
- [Environmental Health](/catalog/items?q=&filter=tags%3DEnvironmental+Health "Environmental Health (Environmental Health, USGS Scientific Topic Keyword, )")
- [Geochemistry](/catalog/items?q=&filter=tags%3DGeochemistry "Geochemistry (Geochemistry, USGS Scientific Topic Keyword, )")
- [Soil Sciences](/catalog/items?q=&filter=tags%3DSoil+Sciences "Soil Sciences (Soil Sciences, USGS Scientific Topic Keyword, )")
- [Water Quality](/catalog/items?q=&filter=tags%3DWater+Quality "Water Quality (Water Quality, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9KR7NSL |
## Item Actions
### View Item as ...
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[JSON](/catalog/item/download/5e41d3e5e4b0edb47be63c63?format=json) [FGDC](/catalog/item/download/5e41d3e5e4b0edb47be63c63?format=fgdc) [MODS XML](/catalog/item/download/5e41d3e5e4b0edb47be63c63?format=modsxml) [ISO XML](/catalog/item/download/5e41d3e5e4b0edb47be63c63?format=iso)
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Johnna M. Blake</origin>\n <origin>Christina L. Ferguson</origin>\n <origin>Jeb E. Brown</origin>\n <origin>Naomi Delay</origin>\n <pubdate>20210122</pubdate>\n <title>Farmington Lake Sediment Descriptions, Total Sediment Chemistry, and Batch Experiment Chemistry</title>\n <geoform>spreadsheet</geoform>\n <onlink>https://doi.org/10.5066/P9KR7NSL</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>These datasets provide information about the physical properties, total sediment chemistry, and batch experiment chemistry (to evaluate element mobility) of sediment cores from the Farmington Lake reservoir in Farmington, NM. The sediment cores were collected in November 2019.</abstract>\n <purpose>These data were collected to help in the understanding of the sediment chemistry in Farmington Lake.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>20191101</caldate>\n </sngdate>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-108.12366</westbc>\n <eastbc>-108.07388</eastbc>\n <northbc>36.82413</northbc>\n <southbc>36.77849</southbc>\n </bounding>\n <descgeog>World</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>lake sediment</themekey>\n <themekey>sediment physical properties</themekey>\n <themekey>sediment chemistry</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5e41d3e5e4b0edb47be63c63</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Farmington, NM</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Johanna M Blake</cntper>\n <cntorg>U.S. Geological Survey, ROCKY MOUNTAIN REGION</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>6700 Edith Blvd NE</address>\n <city>Albuquerque</city>\n <state>NM</state>\n <postal>87113</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>505-830-7953</cntvoice>\n <cntfax>505-830-7950</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Data are considered accurate.</attraccr>\n </attracc>\n <logic>Data are consistent.</logic>\n <complete>Data are complete</complete>\n <lineage>\n <procstep>\n <procdesc>Four sediment cores were collected from Farmington Lake reservoir with a gravity corer attached to a pontoon boat.</procdesc>\n <procdate>20191101</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9KR7NSL</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20210122</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Johanna M Blake</cntper>\n <cntorg>U.S. Geological Survey, ROCKY MOUNTAIN REGION</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>6700 Edith Blvd NE</address>\n <city>Albuquerque</city>\n <state>NM</state>\n <postal>87113</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>505-830-7953</cntvoice>\n <cntfax>505-830-7950</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
Generate a FGDC (Federal Geographic Data Committee) XML from following description of datarelease: | [Skip to main content](#sb-container-body)
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [Forest and Rangeland Ecosystem Science Center (FRESC)](/catalog/item/53f6271fe4b09d12e0e9bd03)
3. [FRESC Public Data](/catalog/item/53f630a3e4b09d12e0e9bd1e)
4. [Post-fire aspen (Populus tremuloides) regeneration data (2014-2015)](/catalog/folder/5d484fd5e4b01d82ce8dd3b2)
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## Dates
Publication Date2019-10-30Start Date2014End Date2015
## Citation
McIlroy, S.K., and Shinneman, D.J., 2019, Post-fire aspen (Populus tremuloides) regeneration data (2014-2015): U.S. Geological Survey data release, https://doi.org/10.5066/P99E9438.
## Summary
The dataset includes several variables sampled across 54 recently burned aspen sites, with data collected in 2014 and 2015. Additionally, the dataset includes mean 30-year (1980-2008) and mean six year ‘fire-regen period’ (i.e., fire year and five years after fire) climate values for each site. The climate data presented here were used to calculate explanatory variables used in analysis, as outlined in the publication. Plots were located across a regional climate gradient spanning from the north-central Great Basin to the northeastern portion of the Greater Yellowstone Ecosystem (USA). Several attributes (e.g. tree characteristics, evidence of animal herbivory, shrub cover) were sampled at each plot. All trees present within a plot \[...\]
## Summary
The dataset includes several variables sampled across 54 recently burned aspen sites, with data collected in 2014 and 2015. Additionally, the dataset includes mean 30-year (1980-2008) and mean six year ‘fire-regen period’ (i.e., fire year and five years after fire) climate values for each site. The climate data presented here were used to calculate explanatory variables used in analysis, as outlined in the publication. Plots were located across a regional climate gradient spanning from the north-central Great Basin to the northeastern portion of the Greater Yellowstone Ecosystem (USA). Several attributes (e.g. tree characteristics, evidence of animal herbivory, shrub cover) were sampled at each plot. All trees present within a plot were counted to determine density. All large trees (stems greater than/equal to 10 cm diameter) were sampled as were all small trees (stems less than 10 cm diameter). Small trees were also divided into two height classes (less than 2 m or greater than/equal to 2 m tall). All trees were identified to species, and all conifers were grouped for analyses.
## Contacts
Point of Contact
:
[FRESC Science Data Coordinator](/catalog/catalogParty/show?partyId=FRESC+Science+Data+Coordinator),
[Forest and Rangeland Ecosystem Science Center](/catalog/catalogParty/show?partyId=17476)
Originator
:
[Susan K McIlroy](/catalog/catalogParty/show?partyId=Susan+K+McIlroy),
[Douglas J Shinneman](/catalog/catalogParty/show?partyId=50580)
Metadata Contact
:
[FRESC Science Data Coordinator](/catalog/catalogParty/show?partyId=FRESC+Science+Data+Coordinator),
[Forest and Rangeland Ecosystem Science Center](/catalog/catalogParty/show?partyId=17476)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[Forest and Rangeland Ecosystem Science Center](/catalog/catalogParty/show?partyId=17476)
USGS Mission Area
:
[Ecosystems](/catalog/catalogParty/show?partyId=Ecosystems)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5d484fd5e4b01d82ce8dd3b2?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5d484fd5e4b01d82ce8dd3b2?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5d484fd5e4b01d82ce8dd3b2?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| Post-fire\_aspen\_Populus\_tremuloides\_regeneration\_data\_2014-2015\_.xml<br>_Original FGDC Metadata_ | View | 86.23 KB | application/fgdc+xml |
| Post fire aspen (Populus tremuloides) regeneration data (2014-2015).csv | | 10.64 KB | text/csv |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| McIlroy, S.K., and Shinneman, D.J., 2020, Post-fire aspen (Populus tremuloides) regeneration varies in response to winter precipitation across a regional climate gradient: Forest Ecology and Management, v. 455, p. 117681, https://doi.org/10.1016/j.foreco.2019.117681. | [https://doi.org/10.1016/j.foreco.2019.117681](https://doi.org/10.1016/j.foreco.2019.117681 "https://doi.org/10.1016/j.foreco.2019.117681") |
## Purpose
Data were collected to determine how post-fire aspen regeneration varies across a regional climate gradient spanning from the north-central Great Basin to the northeastern portion of the Greater Yellowstone Ecosystem (USA).
## [Map](/catalog/item/imap/5d484fd5e4b01d82ce8dd3b2)
[](/catalog/item/imap/5d484fd5e4b01d82ce8dd3b2)
## Communities
- Forest and Rangeland Ecosystem Science Center (FRESC)
- USGS Data Release Products
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Theme
- [biota](/catalog/items?q=&filter=tags%3Dbiota "biota (biota, Theme, ISO 19115 Topic Categories)")
- [environment](/catalog/items?q=&filter=tags%3Denvironment "environment (environment, Theme, ISO 19115 Topic Categories)")
- [fires](/catalog/items?q=&filter=tags%3Dfires "fires (fires, Theme, USGS Thesaurus)")
- [forest ecosystems](/catalog/items?q=&filter=tags%3Dforest+ecosystems "forest ecosystems (forest ecosystems, Theme, USGS Thesaurus)")
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- [Rocky Mountains](/catalog/items?q=&filter=tags%3DRocky+Mountains "Rocky Mountains (Rocky Mountains, Place, Getty Thesaurus of Geographic Names)")
USGS Scientific Topic Keyword
- [Botany](/catalog/items?q=&filter=tags%3DBotany "Botany (Botany, USGS Scientific Topic Keyword, )")
- [Ecology](/catalog/items?q=&filter=tags%3DEcology "Ecology (Ecology, USGS Scientific Topic Keyword, )")
- [Forestry](/catalog/items?q=&filter=tags%3DForestry "Forestry (Forestry, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P99E9438 |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>McIlroy, Susan K.</origin>\n <origin>Shinneman, Douglas J.</origin>\n <pubdate>20191030</pubdate>\n <title>Post-fire aspen (Populus tremuloides) regeneration data (2014-2015)</title>\n <geoform>tabular digital data</geoform>\n <pubinfo>\n <pubplace>www.sciencebase.gov</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P99E9438</onlink>\n <lworkcit>\n <citeinfo>\n <origin>McIlroy, Susan K.</origin>\n <origin>Shinneman, Douglas J.</origin>\n <pubdate>2019</pubdate>\n <title>Post-fire aspen (Populus tremuloides) regeneration across a regional climate gradient demonstrates the importance of winter precipitation</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Forest Ecology and Management</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The dataset includes several variables sampled across 54 recently burned aspen sites, with data collected in 2014 and 2015. Additionally, the dataset includes mean 30-year (1980-2008) and mean six year \xe2\x80\x98fire-regen period\xe2\x80\x99 (i.e., fire year and five years after fire) climate values for each site. The climate data presented here were used to calculate explanatory variables used in analysis, as outlined in the publication. Plots were located across a regional climate gradient spanning from the north-central Great Basin to the northeastern portion of the Greater Yellowstone Ecosystem (USA). Several attributes (e.g. tree characteristics, evidence of animal herbivory, shrub cover) were sampled at each plot. All trees present within a plot were counted to determine density. All large trees (stems greater than/equal to 10 cm diameter) were sampled as were all small trees (stems less than 10 cm diameter). Small trees were also divided into two height classes (less than 2 m or greater than/equal to 2 m tall). All trees were identified to species, and all conifers were grouped for analyses.</abstract>\n <purpose>Data were collected to determine how post-fire aspen regeneration varies across a regional climate gradient spanning from the north-central Great Basin to the northeastern portion of the Greater Yellowstone Ecosystem (USA).</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2014</begdate>\n <enddate>2015</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-114.99389648337</westbc>\n <eastbc>-109.54467773358</eastbc>\n <northbc>45.859107420783</northbc>\n <southbc>41.803751995117</southbc>\n </bounding>\n <descgeog>North-central Great Basin, central Rocky Mountains</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>fires</themekey>\n <themekey>forest ecosystems</themekey>\n <themekey>vegetation</themekey>\n <themekey>succession (biological)</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Categories</themekt>\n <themekey>biota</themekey>\n <themekey>environment</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d484fd5e4b01d82ce8dd3b2</themekey>\n </theme>\n <place>\n <placekt>Getty Thesaurus of Geographic Names</placekt>\n <placekey>Great Basin</placekey>\n <placekey>Rocky Mountains</placekey>\n <placekey>Idaho</placekey>\n <placekey>Montana</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. The U.S. Geological Survey requests to be acknowledged as originator of these data in future products or derivative research.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>FRESC Science Data Coordinator</cntper>\n <cntorg>USGS Forest and Rangeland Ecosystem Science Center</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>777 NW 9th Street, Suite 400</address>\n <city>Corvallis</city>\n <state>OR</state>\n <postal>97330</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-541-750-1030</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>We thank managers across several U.S. National Forests and U.S. Bureau of Land Management districts in Idaho and Montana for logistical support and permitting sampling. This work was funded by the Northwest Climate Adaptation Science Center (agreement #G14AP00153).</datacred>\n <taxonomy>\n <keywtax>\n <taxonkt>USGS Biocomplexity Thesaurus</taxonkt>\n <taxonkey>Plants</taxonkey>\n <taxonkey>Shrubs</taxonkey>\n <taxonkey>Trees</taxonkey>\n </keywtax>\n <taxonsys>\n <classsys>\n <classcit>\n <citeinfo>\n <origin>Integrated Taxonomic Information System (ITIS)</origin>\n <pubdate>2019</pubdate>\n <title>Integrated Taxonomic Information System (ITIS)</title>\n <geoform>tabular digital data</geoform>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>Integrated Taxonomic Information System (ITIS)</publish>\n </pubinfo>\n <onlink>http://itis.gov</onlink>\n </citeinfo>\n </classcit>\n </classsys>\n <ider>\n <cntinfo>\n <cntperp>\n <cntper>Susan McIlroy</cntper>\n <cntorg>US Geological Survey</cntorg>\n </cntperp>\n <cntpos>Ecologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>970 Lusk Street</address>\n <city>Boise</city>\n <state>ID</state>\n <postal>83706</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>208-426-5218</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ider>\n <taxonpro>identification keys</taxonpro>\n <taxoncom>All trees and shrubs included in the dataset were confidently identified in the field.</taxoncom>\n </taxonsys>\n <taxongen>All live trees were identified to species, and conifer trees were grouped for analyses. All shrub species were identified at least to genus. All herbaceous vegetation was classified into either a 'forb' or 'grass/sedge' functional group, with no additional identification.</taxongen>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Pinopsida</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Pinidae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Pinales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Pinaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Abies</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Abies lasiocarpa</taxonrv>\n <common>subalpine fir</common>\n <common>balsam fir</common>\n <common>white balsam</common>\n <common>Rocky Mountain fir</common>\n <common>western balsam fir</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Pinopsida</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Pinidae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Pinales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Pinaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Pinus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Pinus contorta</taxonrv>\n <common>lodgepole pine</common>\n <common>scrub pine</common>\n <common>shore pine</common>\n <common>tamarack pine</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Pinopsida</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Pinidae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Pinales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Pinaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Picea</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Picea engelmannii</taxonrv>\n <common>Engelmann spruce</common>\n <common>Columbian spruce</common>\n <common>mountain spruce</common>\n <common>silver spruce</common>\n <common>white spruce</common>\n <common>Engelmann's spruce</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Pinopsida</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Pinidae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Pinales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Pinaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Pseudotsuga</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Pseudotsuga menziesii</taxonrv>\n <common>red fir</common>\n <common>Douglas spruce</common>\n <common>Oregon pine</common>\n <common>Douglas-fir</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Sapindales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Sapindaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Acer</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Acer glabrum</taxonrv>\n <common>California mountain maple</common>\n <common>Douglas' maple</common>\n <common>dwarf maple</common>\n <common>mountain maple</common>\n <common>New Mexico maple</common>\n <common>Sierra maple</common>\n <common>Rocky Mountain maple</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Rosales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Rosaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Amelanchier</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Amelanchier alnifolia</taxonrv>\n <common>juneberry</common>\n <common>Pacific serviceberry</common>\n <common>western serviceberry</common>\n <common>western shadbush</common>\n <common>Saskatoon serviceberry</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Asterales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Asteraceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Artemisia</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Artemisia ludoviciana</taxonrv>\n <common>white sagebrush</common>\n <common>cudweed sagewort</common>\n <common>Louisiana sagewort</common>\n <common>gray sagewort</common>\n <common>Louisiana wormwood</common>\n <common>mugwort wormwood</common>\n <common>prairie sage</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Asterales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Asteraceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Artemisia</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Artemisia tridentata</taxonrv>\n <common>big sagebrush</common>\n <common>big sagebush</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Ericales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Ericaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Arctostaphylos</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Arctostaphylos uva-ursi</taxonrv>\n <common>kinnikinnick</common>\n <common>mealberry</common>\n <common>bearberry</common>\n <common>bearberry manzanita</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Rosales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Rhamnaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Ceanothus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Ceanothus velutinus</taxonrv>\n <common>snowbush</common>\n <common>snowbrush ceanothus</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Asterales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Asteraceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Chrysothamnus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Chrysothamnus viscidiflorus</taxonrv>\n <common>yellow rabbitbrush</common>\n <common>Douglas rabbitbrush</common>\n <common>green rabbitbrush</common>\n <common>Douglas' rabbitbrush</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Rosales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Rosaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Crataegus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Crataegus douglasii</taxonrv>\n <common>river hawthorn</common>\n <common>black hawthorn</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Asterales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Asteraceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Ericameria</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Ericameria nauseosa</taxonrv>\n <common>rubber rabbitbrush</common>\n <common>goldenbush</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Celastrales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Celastraceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Paxistima</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Paxistima myrsinites</taxonrv>\n <common>boxleaf myrtle</common>\n <common>boxleaf</common>\n <common>mountain lover</common>\n <common>Oregon boxleaf</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Rosales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Rosaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Physocarpus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Physocarpus malvaceus</taxonrv>\n <common>mallow ninebark</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Rosales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Rosaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Prunus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Prunus virginiana</taxonrv>\n <common>chokecherry</common>\n <common>common chokecherry</common>\n <common>Virginia chokecherry</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Rosales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Rosaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Purshia</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Purshia tridentata</taxonrv>\n <common>antelope bitterbrush</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Saxifraganae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Saxifragales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Grossulariaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Ribes</taxonrv>\n <common>currant</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Saxifraganae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Saxifragales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Grossulariaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Ribes</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Ribes cereum</taxonrv>\n <common>wax currant</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Rosales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Rosaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Rosa</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Rosa woodsii</taxonrv>\n <common>Woods' rose</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Rosales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Rosaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Rubus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Rubus idaeus</taxonrv>\n <common>common red raspberry</common>\n <common>western red raspberry</common>\n <common>American red raspberry</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Malpighiales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Salicaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Salix</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Salix geyeriana</taxonrv>\n <common>Geyer's willow</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Malpighiales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Salicaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Salix</taxonrv>\n <common>saule</common>\n <common>saules</common>\n <common>willow</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Dipsacales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Adoxaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Sambucus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Sambucus nigra</taxonrv>\n <taxoncl>\n <taxonrn>Subspecies</taxonrn>\n <taxonrv>Sambucus nigra ssp. cerulea</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Rosales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Rosaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Spiraea</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Spiraea betulifolia</taxonrv>\n <common>white spirea</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Dipsacales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Caprifoliaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Symphoricarpos</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Symphoricarpos oreophilus</taxonrv>\n <common>whortleleaf snowberry</common>\n <common>mountain snowberry</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom,Kingdom</taxonrn>\n <taxonrv>Plantae,Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Asteranae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Asterales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Asteraceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Tetradymia</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Tetradymia canescens</taxonrv>\n <common>spineless horsebrush</common>\n <common>gray horsebrush</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Malpighiales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Salicaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Populus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Populus tremuloides</taxonrv>\n <common>quaking aspen</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Pinopsida</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Pinidae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Pinales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Cupressaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Juniperus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Juniperus scopulorum</taxonrv>\n <common>enebro ripar\xc3\xado</common>\n <common>Rocky Mountain juniper</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxonomy>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Field data were collected on paper and reviewed (QA/QC) in the field for accuracy and completeness by one member of the crew (not the data recorder) after sampling each plot. Those data were entered into a Microsoft Access database and reviewed by a different individual to confirm that the data had been entered correctly.</attraccr>\n </attracc>\n <logic>Data were checked for logical consistency by examining them in an Access database. Proper spelling was examined for text fields, and ranges of data were checked to confirm that numerical values were not outside a reasonable range for a particular field. We performed outlier checks by plotting numerical values for all variables, and then outliers were assessed and corrected if needed. Site coordinates were reviewed within ArcMap to ensure site locations were accurate.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>US Geological Survey</origin>\n <pubdate>2018</pubdate>\n <title>USGS 30 meter resolution, national elevation dataset for CONUS</title>\n <geoform>digital and/or hardcopy</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map</onlink>\n </citeinfo>\n </srccite>\n <typesrc>tabular digital data</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20180101</begdate>\n <enddate>20181231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>DEM</srccitea>\n <srccontr>Enabled calculation of landscape variables related to elevation, aspect, and slope</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>PRISM Climate Group at Oregon State University</origin>\n <pubdate>2017</pubdate>\n <title>Parameter-elevation Regressions on Independent Slopes Model: Gridded and interpolated climate and weather estimation tool</title>\n <geoform>raster digital data</geoform>\n <pubinfo>\n <pubplace>Corvallis, OR, USA</pubplace>\n <publish>PRISM Climate Group at Oregon State University</publish>\n </pubinfo>\n <onlink>http://www.prism.oregonstate.edu/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19800101</begdate>\n <enddate>20141231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication data</srccurr>\n </srctime>\n <srccitea>PRISM</srccitea>\n <srccontr>Enabled calculation of precipitation, temperature, and snowpack variables</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Landscape factors were determined at the coordinates of each plot using ArcGIS. USGS Digital Elevation Models (DEMs) were used to identify elevation, slope, and aspect for each plot.</procdesc>\n <procdate>2018</procdate>\n </procstep>\n <method>\n <methtype>Field</methtype>\n <methdesc>Plots were located in the field using a global positioning system (GPS). At each plot, data were collected within two parallel 2 m x 50 m belt transects that were generally spaced 20 m apart, except for 11 plots located in small or irregularly shaped aspen stands in which either only one transect or two shorter transects were used to avoid adjacent communities. For all trees present within the belt transects, species and condition (live/dead) were recorded, and each was classified into either a small (less than 10 cm) or large (greater than/equal to 10 cm) stem diameter size class, with the small diameter class further delineated as either less than 2 m or greater than/equal to 2 m in height. Browsing pressure at each plot was assessed by examining randomly selected aspen small stems (less than 10 cm diameter) that were less than 2 m tall along the transect(s) for browsed leaders (yes/no) and also by estimating density of animal fecal pellets (no./m2) by species. Shrub cover percentage by species was measured via the line intercept method along the transect(s), and herbaceous plant cover percentage by functional group (i.e. forb, grass/sedge) was estimated within 5\xe2\x80\x9310 1 m2 quadrats per plot (depending on transect lengths).</methdesc>\n </method>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n </spdoinfo>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Post-fire aspen (Populus tremuloides) regeneration data</enttypl>\n <enttypd>Plot level data collected across 54 aspen sites.</enttypd>\n <enttypds>Producer defined.</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Plot ID</attrlabl>\n <attrdef>A unique identifier for each sampled plot. The first three letters indicate the fire associated with the plot, and the following two numbers indicate a unique plot number.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <udom>Unbounded list of alphanumeric text.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fire Name</attrlabl>\n <attrdef>Fire in which aspen plot data were collected.</attrdef>\n <attrdefs>Fire names were retrieved from the Monitoring Trends in Burn Severity (MTBS) project (www.mtbs.gov; Eidenshink et al. 2017)</attrdefs>\n <attrdomv>\n <udom>Unbounded list of fifteen fire names that were sampled in the study.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total Aspen Sucker Density (stems/hectare)</attrlabl>\n <attrdef>Density (stems/hectare) of all small (less than 10 cm diameter) aspen stems collected for each plot.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2500</rdommin>\n <rdommax>71600</rdommax>\n <attrunit>stems/hectare</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Tall (greater than/equal to 2 m) Aspen Sucker Density (stems/hectare)</attrlabl>\n <attrdef>Density (stems/hectare) of all small (less than 10 cm diameter) aspen stems that were greater than/equal to 2 m tall collected for each plot.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>32500</rdommax>\n <attrunit>stems/hectare</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fire year</attrlabl>\n <attrdef>Calendar year of fire occurrence.</attrdef>\n <attrdefs>Fire year was retrieved from the Monitoring Trends in Burn Severity (MTBS) project (www.mtbs.gov; Eidenshink et al. 2017)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2000</rdommin>\n <rdommax>2009</rdommax>\n <attrunit>calendar year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Time since fire (years)</attrlabl>\n <attrdef>Total years between sampling year and fire occurrence.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5</rdommin>\n <rdommax>15</rdommax>\n <attrunit>years</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fire size (ha)</attrlabl>\n <attrdef>Size of fire measured in hectares.</attrdef>\n <attrdefs>Fire size was retrieved from the Monitoring Trends in Burn Severity (MTBS) project (www.mtbs.gov; Eidenshink et al. 2017)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>398</rdommin>\n <rdommax>81339</rdommax>\n <attrunit>hectares</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Heat Load Index</attrlabl>\n <attrdef>Index used to characterize heat load, calculated from slope, folded aspect, and latitude. Calculated using cwd_function (Redmond 2018) in R software, following McCune and Keon 2002</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.53</rdommin>\n <rdommax>1</rdommax>\n <attrunit>index values</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Folded aspect (degrees)</attrlabl>\n <attrdef>Aspect (30m pixel resolution from DEM) calculated as the value of the plot (degrees), and then converted to folded aspect by calculating |180-|aspect-225||</attrdef>\n <attrdefs>U.S. Geological Survey Digital Elevation Model (DEM)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8</rdommin>\n <rdommax>180</rdommax>\n <attrunit>degrees</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Slope (degrees)</attrlabl>\n <attrdef>Slope (30m pixel resolution from DEM) calculated as the value of the plot (degrees).</attrdef>\n <attrdefs>U.S. Geological Survey Digital Elevation Model (DEM)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4</rdommin>\n <rdommax>40</rdommax>\n <attrunit>degrees</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Elevation (m)</attrlabl>\n <attrdef>Elevation (30m pixel resolution from DEM) calculated as the value of the plot (meters above sea level).</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1554</rdommin>\n <rdommax>2372</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Prop. Browsed Leaders</attrlabl>\n <attrdef>Proportion of aspen suckers less than 2 m tall that were sampled for browsing with evidence of browsed leaders</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0.85</rdommax>\n <attrunit>proportion</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fecal Pellet Density (no./m2)</attrlabl>\n <attrdef>Density of animal fecal pellets encountered in plot (number/m2)</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0.26</rdommax>\n <attrunit>pellets/square meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Conifer Seedling Density (seedlings/hectare)</attrlabl>\n <attrdef>Density (stems/hectare) of all small (less than 10 cm diameter) conifer trees collected for each plot.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>800</rdommax>\n <attrunit>stems/hectare</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Prop. Conifer Seedlings</attrlabl>\n <attrdef>Number of all small (less than 10 cm diameter) conifer trees collected for each plot divided by total number of all small (less than 10 cm diameter) trees present</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0.06</rdommax>\n <attrunit>proportion</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shrub Cover (percentage)</attrlabl>\n <attrdef>Percentage of shrub cover measured via the line intercept method</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>81.8</rdommax>\n <attrunit>percentage</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Herbaceous Plant Cover (percentage)</attrlabl>\n <attrdef>Percentage of herbaceous functional group (i.e. forb, grass/sedge) visually estimated within 1 m2 quadrats</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3.7</rdommin>\n <rdommax>96</rdommax>\n <attrunit>Percentage</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>No. Transects</attrlabl>\n <attrdef>Number of transects sampled at each plot</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>2</rdommax>\n <attrunit>units (= transect)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total Transect Length</attrlabl>\n <attrdef>Total length of transect(s) sampled for each plot.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>30</rdommin>\n <rdommax>100</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>No. Suckers Examined for Browsing</attrlabl>\n <attrdef>Number of suckers less than/equal to two meters sampled at each plot for browsed leaders (yes/no)</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4</rdommin>\n <rdommax>60</rdommax>\n <attrunit>units (= suckers)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>30-year Mean Water Year Precipitation</attrlabl>\n <attrdef>Water year (October-September) precipitation (mm) averaged using 1980-2009 values</attrdef>\n <attrdefs>PRISM Climate Group</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>411.09</rdommin>\n <rdommax>792.83</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>30-year Mean Early Winter Precipitation</attrlabl>\n <attrdef>Early winter (October-December) precipitation averaged using 1980-2009 values</attrdef>\n <attrdefs>PRISM Climate Group</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>73.5</rdommin>\n <rdommax>229.23</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>30-year Mean Summer Precipitation</attrlabl>\n <attrdef>Summer (July-September) precipitation averaged using 1980-2009 values</attrdef>\n <attrdefs>PRISM Climate Group</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>39.04</rdommin>\n <rdommax>152.64</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>6-year Mean Water Year Snowpack</attrlabl>\n <attrdef>Accumulated water year (September-October) snowpack averaged for the 6-year fire-regeneration period</attrdef>\n <attrdefs>Redmond (2018) 'cwd' function in R (http://doi.org/10.5281/zenodo.2530955)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>295.46</rdommin>\n <rdommax>1685.21</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>30-year Mean Minimum Winter Temperature</attrlabl>\n <attrdef>Minimum winter (December-January) temperature averaged using 1980-2009 values</attrdef>\n <attrdefs>PRISM Climate Group</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-15.75</rdommin>\n <rdommax>-7.37</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>30-year Mean Maximum Summer Temperature</attrlabl>\n <attrdef>Maximum summer (July-September) temperature averaged using 1980-2009 values</attrdef>\n <attrdefs>PRISM Climate Group</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>22.12</rdommin>\n <rdommax>28.00</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>30-year Mean Annual Temperature</attrlabl>\n <attrdef>Mean annual temperature averaged using 1980-2009 values</attrdef>\n <attrdefs>PRISM Climate Group</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.77</rdommin>\n <rdommax>7.73</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>6-year Mean Water Year Precipitation</attrlabl>\n <attrdef>Mean water year (September-October) precipitation averaged using 1980-2009 values</attrdef>\n <attrdefs>PRISM Climate Group</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>406.15</rdommin>\n <rdommax>754.63</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>6-year Mean Early Winter Precipitation</attrlabl>\n <attrdef>Mean early winter (October-December) precipitation averaged for the 6-year fire-regeneration period</attrdef>\n <attrdefs>PRISM Climate Group</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>84.07</rdommin>\n <rdommax>240.32</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>6-year Mean Summer Precipitation</attrlabl>\n <attrdef>Mean summer (July-September) precipitation averaged for the 6-year fire-regeneration period</attrdef>\n <attrdefs>PRISM Climate Group</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>28.35</rdommin>\n <rdommax>123.32</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>6-year Mean Minimum Winter Temperature</attrlabl>\n <attrdef>Minimum winter (Dec-Jan) temperature averaged for the six-year fire-regeneration period</attrdef>\n <attrdefs>PRISM Climate Group</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-14.19</rdommin>\n <rdommax>-6.24</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>6-year Mean Maximum Summer Temperature</attrlabl>\n <attrdef>Maximum summer (July-August) temperature averaged for the six-year fire-regeneration period</attrdef>\n <attrdefs>PRISM Climate Group</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>22.85</rdommin>\n <rdommax>28.61</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>UTM Zone</attrlabl>\n <attrdef>Universal Transverse Mercator zone (11 or 12) map projection used in plot location.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>11</rdommin>\n <rdommax>12</rdommax>\n <attrunit>UTM zone</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>UTM Easting</attrlabl>\n <attrdef>World Geodetic System (1984), Universal Transverse Mercator (Zone 11 or 12) map projection used in plot location.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>290239</rdommin>\n <rdommax>725940</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>UTM Northing</attrlabl>\n <attrdef>World Geodetic System (1984), Universal Transverse Mercator (Zone 11 or 12) map projection used in plot location.</attrdef>\n <attrdefs>Producer defined.</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4652627</rdommin>\n <rdommax>5127501</rdommax>\n <attrunit>meters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200819</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>FRESC Science Data Coordinator</cntper>\n <cntorg>USGS Forest & Rangeland Ecosystem Science Center</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>777 NW 9th Street, Suite 400</address>\n <city>Corvallis</city>\n <state>OR</state>\n <postal>97330</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>541-750-1030</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Idaho Water Science Center](/catalog/item/5abe53e7e4b081f61ac11d6a)
3. [Surface Water](/catalog/item/5acd116de4b0e2c2dd155d90)
4. [Geospatial Data for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2016–18](/catalog/item/59089376e4b0fc4e448ffe0e)
5. [SiteID-014 Bitterroot River at US-93 near Hamilton, MT](/catalog/folder/590c9953e4b0e541a038e361)
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## Dates
Publication Date2019-02-26Time Period2016-06-27
## Citation
Dudunake, T.J., 2019, Geospatial data for bridge scour countermeasure assessments at select bridges in the United States, 2016-2018: U.S. Geological Survey data release, https://doi.org/10.5066/F7WW7G4W.
## Summary
These geospatial data were collected during the June 30, 2016 topographic and hydrographic survey of the Bitterroot River at US-93 near Hamilton, MT.
## Summary
These geospatial data were collected during the June 30, 2016 topographic and hydrographic survey of the Bitterroot River at US-93 near Hamilton, MT.
## Contacts
Point of Contact
:
[Taylor J Dudunake](/catalog/catalogParty/show?partyId=70144)
Originator
:
[Taylor J Dudunake](/catalog/catalogParty/show?partyId=70144)
Metadata Contact
:
[Taylor J Dudunake](/catalog/catalogParty/show?partyId=70144)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
:
[Idaho Water Science Center](/catalog/catalogParty/show?partyId=17488)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
## Attached Files - sorting - [Metadata First](/catalog/item/get/590c9953e4b0e541a038e361?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/590c9953e4b0e541a038e361?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/590c9953e4b0e541a038e361?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
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| siteID-014\_Bitterroot\_Hamilton.xml<br>_Original FGDC Metadata_ | View | 17.59 KB | application/fgdc+xml |
| siteID-014\_Bitterroot\_Hamilton\_processed\_data.jpg |  | 65.84 KB | image/jpeg |
| siteID-014\_Bitterroot\_Hamilton\_S6\_topography\_data.zip | | 33.38 KB | application/zip |
| siteID-014\_Bitterroot\_Hamilton\_scan\_topography\_data.zip | | 408.88 KB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Dudunake, T.J., Huizinga, R.J., and Fosness, R.L., 2019, Bridge scour countermeasure assessments at select bridges in the United States, 2016–18: U.S. Geological Survey Open-File Report 2019-1008, 12p., https://doi.org/10.3133/ofr20191008. | [https://doi.org/10.3133/ofr20191008](https://doi.org/10.3133/ofr20191008 "https://doi.org/10.3133/ofr20191008") |
## Purpose
Supplemental topographic and bathymetric data were collected within the study area to assist in the description of the geomorphological characteristics of the features in and near the surveyed reach. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.
## Preview Image

## [Map](/catalog/item/imap/590c9953e4b0e541a038e361)
[](/catalog/item/imap/590c9953e4b0e541a038e361)
## Communities
- USGS Idaho Water Science Center
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## Provenance
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2019</pubdate>\n <title>SiteID-014 Bitterroot River at US-93 near Hamilton, MT</title>\n <geoform>vector digital data</geoform>\n <serinfo>\n <sername>U.S. Geological Survey ScienceBase Data Release</sername>\n <issue>version 1.0</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>U.S. Geological Survey - ScienceBase</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7WW7G4W</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <origin>Richard J. Huizinga</origin>\n <origin>Ryan L. Fosness</origin>\n <pubdate>2019</pubdate>\n <title>Bridge scour countermeasure assessments at select bridges in the United States, 2016\xe2\x80\x9318</title>\n <serinfo>\n <sername>U.S. Geological Survey Open-File Report</sername>\n <issue>2019-1008, 12 p.</issue>\n </serinfo>\n <onlink>https://doi.org/10.3133/ofr20191008</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>These geospatial data were collected during the June 30, 2016 topographic and hydrographic survey of the Bitterroot River at US-93 near Hamilton, MT.</abstract>\n <purpose>Supplemental topographic and bathymetric data were collected within the study area to assist in the description of the geomorphological characteristics of the features in and near the surveyed reach. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>20160627</caldate>\n </sngdate>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-114.16905516</westbc>\n <eastbc>-114.16745397</eastbc>\n <northbc>46.19937748</northbc>\n <southbc>46.19810870</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>ADCP</themekey>\n <themekey>acoustic doppler current profiling</themekey>\n <themekey>bathymetry</themekey>\n <themekey>Acoustic</themekey>\n <themekey>Doppler</themekey>\n <themekey>USGS</themekey>\n <themekey>ASCII</themekey>\n <themekey>Geology</themekey>\n <themekey>inland waters</themekey>\n <themekey>Bathymetry</themekey>\n <themekey>Water Depth</themekey>\n <themekey>inlandWaters</themekey>\n <themekey>Multibeam</themekey>\n <themekey>XYZ</themekey>\n <themekey>U.S. Geological Survey</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>inlandWaters</themekey>\n <themekey>oceans</themekey>\n <themekey>structure</themekey>\n <themekey>elevation</themekey>\n <themekey>geoscientificInformation</themekey>\n <themekey>lidar</themekey>\n <themekey>imageryBaseMapsEarthCover</themekey>\n <themekey>location</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:590c9953e4b0e541a038e361</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Hamilton</placekey>\n <placekey>USA</placekey>\n <placekey>Bitterroot River</placekey>\n <placekey>Montana</placekey>\n <placekey>MT</placekey>\n </place>\n </keywords>\n <accconst>None</accconst>\n <useconst>Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, these data and information are provided with the understanding that they are not guaranteed to be usable, timely, accurate, or complete. Users are cautioned to consider carefully the provisional nature of these data and information before using them for decisions that concern personal or public safety or the conduct of business that involves substantial monetary or operational consequences. Neither the U.S. Government nor any agency thereof, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any data, software, information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. Trade, firm, or product names and other references to non-USGS products and services are provided for information only and do not constitute endorsement or warranty, express or implied, by the USGS, USDOI, or U.S. Government, as to their suitability, content, usefulness, functioning, completeness, or accuracy.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>USGS - Idaho Water Science Center</cntorg>\n <cntper>Taylor J. Dudunake</cntper>\n </cntorgp>\n <cntpos>Student Hydrologist</cntpos>\n <cntaddr>\n <addrtype>Mailing and physical</addrtype>\n <address>230 Collins Road</address>\n <city>Boise</city>\n <state>ID</state>\n <postal>83702</postal>\n </cntaddr>\n <cntvoice>(208) 387-1319</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <browse>\n <browsen>https://www.sciencebase.gov/catalog/file/get/590c9953e4b0e541a038e361?name=siteID-014_Bitterroot_Hamilton_processed_data.jpg</browsen>\n <browsed>Illustration of the dataset</browsed>\n <browset>JPG</browset>\n </browse>\n <datacred>Prepared in cooperation with the Federal Highway Administration (FHWA). Please recognize the U.S. Geological Survey (USGS) and Federal Highway Administration (FHWA) for use of this data.</datacred>\n <secinfo>\n <secsys>None</secsys>\n <secclass>Unclassified</secclass>\n <sechandl>None</sechandl>\n </secinfo>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2 (Build 3552) Service Pack N/A (Build N/A)</native>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-005 Snake River at Ferry Butte Road, near Blackfoot, ID</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c997ee4b0e541a038e364</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-006 Snake River at West River Road, near Shelley, ID</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9992e4b0e541a038e366</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-010 Perkiomen Creek at SR-1024, near Perkiomenville, PA</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c99aee4b0e541a038e368</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-011 Grand River at Route-A near McFall, MO</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c99dfe4b0e541a038e36e</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-012 West Branch Brandywine Creek at Strasburg Road, near Coatesville, PA</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c99fee4b0e541a038e372</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-013 Byram River at Sherwood Avenue, at Greenwich, CT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9a13e4b0e541a038e374</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-015 Bitterroot River at Bell Crossing, near Victor, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9a3de4b0e541a038e37a</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-016 Blackfoot River at I-90, at Bonner, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9a5be4b0e541a038e37c</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-018 Beaverhead River at MT-41, at Twin Bridges, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9a79e4b0e541a038e37e</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-020 Jefferson River at MT-2, near Three Forks, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9a9be4b0e541a038e380</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-021 Madison River at I-90, near Three Forks, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9aafe4b0e541a038e382</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>siteID-027 Yellowstone River at MT-312, at Huntley, MT</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9acfe4b0e541a038e384</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>siteID-028 Smith Branch at S-126, at Columbia, SC</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9ae1e4b0e541a038e387</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>siteID-029 Black River at US-52, at Kingstree, SC</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9afee4b0e541a038e38a</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>siteID-030 Upper Iowa River at IA-76, near Dorchester, IA</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9b22e4b0e541a038e38d</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>siteID-031 Wapsipinicon River at US-30, near Wheatland, IA</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9b47e4b0e541a038e392</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>siteID-032 Old Man's Creek at IA-1, near Iowa City, IA</title>\n <onlink>https://www.sciencebase.gov/catalog/item/590c9b5fe4b0e541a038e395</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata records carefully for additional details.</complete>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-014 Bitterroot Hamilton S6 Topography Data, at US-93 near Hamilton, MT</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/590c9953e4b0e541a038e361?name=siteID-014_Bitterroot_Hamilton_S6_topography_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20160627</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-014 Bitterroot Hamilton S6 Topography Data, at US-93 near Hamilton, MT</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Taylor J. Dudunake</origin>\n <pubdate>2018</pubdate>\n <title>SiteID-014 Bitterroot Hamilton Scan Topography Data, at US-93 near Hamilton, MT</title>\n <geoform>Vector digital data</geoform>\n <onlink>https://www.sciencebase.gov/catalog/file/get/590c9953e4b0e541a038e361?name=siteID-014_Bitterroot_Hamilton_scan_topography_data.zip</onlink>\n </citeinfo>\n </srccite>\n <typesrc>digital data</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20160627</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>SiteID-014 Bitterroot Hamilton Scan Topography Data, at US-93 near Hamilton, MT</srccitea>\n <srccontr>Topographic and hydrographic data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Site conditions met requirements for bridge scour countermeasure assessment study.</procdesc>\n <procdate>2016</procdate>\n </procstep>\n <procstep>\n <procdesc>Data were collected within survey extent of bridge site.</procdesc>\n <procdate>20160627</procdate>\n </procstep>\n <procstep>\n <procdesc>ScienceBase child page created.</procdesc>\n <procdate>20170505</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the U.S. Geological Survey in the use of these data, software, or related materials. The use of firm, trade, or brand names in this report is for identification purposes only and does not constitute endorsement by the U.S. Geological Survey. The names mentioned in this document may be trademarks or registered trademarks of their respective trademark owners.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Geospatial Datasets</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://www.sciencebase.gov/catalog/file/get/590c9953e4b0e541a038e361</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. This dataset is provided by USGS as a public service.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200820</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Taylor J. Dudunake</cntper>\n <cntorg>U.S. Geological Survey - Idaho Water Science Center</cntorg>\n </cntperp>\n <cntpos>Student Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>230 Collins Rd.</address>\n <city>Bosie</city>\n <state>ID</state>\n <postal>83702</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>(208) 387-1319</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
Generate a FGDC (Federal Geographic Data Committee) XML from following description of datarelease: | [Skip to main content](#sb-container-body)
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [National Water-Quality Assessment Project](/catalog/item/5522f784e4b027f0aee3d0c3)
3. [Integrated Watershed Studies Team](/catalog/item/56c388cde4b0946c6520aa4e)
4. [Real and synthetic data used to test the Two-tracer Ratio-based Mixing Model (TRaMM)](/catalog/folder/576c1722e4b07657d1a26f60)
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## Dates
Publication Date2016-12-16Start Date2013-04-01End Date2013-06-30
## Citation
Kronholm, S.C., and Capel, P.D., 2016, Real and synthetic data used to test the Two-tracer Ratio-based Mixing Model (TRaMM): U.S. Geological Survey data release, https://doi.org/10.5066/F71R6NMQ.
## Summary
This USGS Data Release represents the synthetic and real data from hydrologically diverse streams used to test the performance and limitations of the Two-tracer Ratio-based Mixing Model (TRaMM) which uses high-frequency measures of two tracers (A and B) and streamflow to separate total streamflow into water from slowflow and fastflow sources. The ratio between the concentrations of the two tracers is used to create a time-variable estimate of the concentration of each tracer in the fastflow end-member. Synthetic data from a groundwater dominated stream and an overland flow dominated stream were used to test the sensitivity of the model to various conditions and tracer concentrations. The sensitivity analysis provides understanding \[...\]
## Summary
This USGS Data Release represents the synthetic and real data from hydrologically diverse streams used to test the performance and limitations of the Two-tracer Ratio-based Mixing Model (TRaMM) which uses high-frequency measures of two tracers (A and B) and streamflow to separate total streamflow into water from slowflow and fastflow sources. The ratio between the concentrations of the two tracers is used to create a time-variable estimate of the concentration of each tracer in the fastflow end-member. Synthetic data from a groundwater dominated stream and an overland flow dominated stream were used to test the sensitivity of the model to various conditions and tracer concentrations. The sensitivity analysis provides understanding of the relation between the inputs and outputs of the model while providing information regarding its practicality and limitations. High-frequency nitrate and specific conductance data from Chesterville Branch, Maryland and Indian Creek, Kansas in 2013 were used to test the model under real-world conditions. These data support the following publication: Kronholm, S.C. and Capel, P.D., 2016, Estimation of time-variable fast flow path chemical concentrations for application in tracer-based hydrograph separation analyses: Water Resour. Res., 52, 6881-6896, https://doi.org/10.1002/2016WR018797.
## Contacts
Point of Contact
:
[Paul D Capel](/catalog/catalogParty/show?partyId=1557)
Originator
:
[Scott C Kronholm](/catalog/catalogParty/show?partyId=70134),
[Paul D Capel](/catalog/catalogParty/show?partyId=1557)
Metadata Contact
:
[Jessica A Hopple](/catalog/catalogParty/show?partyId=Jessica+A+Hopple)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
:
[New Jersey Water Science Center](/catalog/catalogParty/show?partyId=17210)
## Attached Files - sorting - [Metadata First](/catalog/item/get/576c1722e4b07657d1a26f60?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/576c1722e4b07657d1a26f60?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/576c1722e4b07657d1a26f60?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| TRaMM\_real\_and\_synthetic\_data\_metadata.xml<br>“Metadata file”<br>_Original FGDC Metadata_ | View | 26.08 KB | application/fgdc+xml |
| Scenario\_1\_1.csv<br>“Scenario 1 data” | | 16.18 KB | text/csv |
| Scenario\_1\_2.csv<br>“Scenario 1 data” | | 16.13 KB | text/csv |
| Scenario\_1\_3.csv<br>“Scenario 1 data” | | 16.13 KB | text/csv |
| Scenario\_1\_4.csv<br>“Scenario 1 data” | | 16.18 KB | text/csv |
| Scenario\_1\_5.csv<br>“Scenario 1 data” | | 16.13 KB | text/csv |
| Scenario\_1\_6.csv<br>“Scenario 1 data” | | 16.13 KB | text/csv |
| Scenario\_1\_7.csv<br>“Scenario 1 data” | | 16.18 KB | text/csv |
| Scenario\_2\_1.csv<br>“Scenario 2 data” | | 15.98 KB | text/csv |
| Scenario\_2\_2.csv<br>“Scenario 2 data” | | 15.94 KB | text/csv |
| Scenario\_2\_3.csv<br>“Scenario 2 data” | | 15.95 KB | text/csv |
| Scenario\_2\_4.csv<br>“Scenario 2 data” | | 15.93 KB | text/csv |
| Scenario\_2\_5.csv<br>“Scenario 2 data” | | 15.95 KB | text/csv |
| Scenario\_2\_6.csv<br>“Scenario 2 data” | | 15.95 KB | text/csv |
| Scenario\_2\_7.csv<br>“Scenario 2 data” | | 15.93 KB | text/csv |
| Chesterville\_Branch\_Maryland\_real\_stream\_data.csv<br>“Real-stream data” | | 15.76 KB | text/csv |
| Indian\_Creek\_Kansas\_real\_stream\_data.csv<br>“Real-stream data” | | 15.86 KB | text/csv |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Kronholm, S.C. and Capel, P.D., 2016, Estimation of time-variable fast flow path chemical concentrations for application in tracer-based hydrograph separation analyses: Water Resour. Res., 52, 6881-6896, https://doi.org/10.1002/2016WR018797. | [https://doi.org/10.1002/2016WR018797](https://doi.org/10.1002/2016WR018797 "https://doi.org/10.1002/2016WR018797") |
## Purpose
Data sets were created to test the validity of the Two-tracer Ratio-based Mixing Model (TRaMM). The model was applied to real data from two hydrologically different streams. Synthetic data were designed to test the precision and bias of the model against known values. The analysis of the synthetic data with various conditions of streamflow and tracer concentration provided information regarding the performance of the model, which aided in the interpretation of the results from the real data. This provides useful information for tracking chemical movement to streams and allows for better selection and implementation of water quality management strategies.
## [Map](/catalog/item/imap/576c1722e4b07657d1a26f60)
[](/catalog/item/imap/576c1722e4b07657d1a26f60)
## Communities
- Integrated Watershed Studies Team
- National Water-Quality Assessment Project
- USGS Data Release Products
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [Baseflow separation](/catalog/items?q=&filter=tags%3DBaseflow+separation "Baseflow separation (Baseflow separation, Theme, None)")
- [Continuous data](/catalog/items?q=&filter=tags%3DContinuous+data "Continuous data (Continuous data, Theme, None)")
- [End-member mixing analysis](/catalog/items?q=&filter=tags%3DEnd-member+mixing+analysis "End-member mixing analysis (End-member mixing analysis, Theme, None)")
- [Groundwater transport](/catalog/items?q=&filter=tags%3DGroundwater+transport "Groundwater transport (Groundwater transport, Theme, None)")
- [High-frequency water quality data](/catalog/items?q=&filter=tags%3DHigh-frequency+water+quality+data "High-frequency water quality data (High-frequency water quality data, Theme, None)")
- [Hydrograph separation](/catalog/items?q=&filter=tags%3DHydrograph+separation "Hydrograph separation (Hydrograph separation, Theme, None)")
- [Modeling](/catalog/items?q=&filter=tags%3DModeling "Modeling (Modeling, Theme, None)")
- [Overland flow](/catalog/items?q=&filter=tags%3DOverland+flow "Overland flow (Overland flow, Theme, None)")
- [Streamflow](/catalog/items?q=&filter=tags%3DStreamflow "Streamflow (Streamflow, Theme, None)")
- [Time-variable end-member concentration](/catalog/items?q=&filter=tags%3DTime-variable+end-member+concentration "Time-variable end-member concentration (Time-variable end-member concentration, Theme, None)")
- [Water budgets](/catalog/items?q=&filter=tags%3DWater+budgets "Water budgets (Water budgets, Theme, None)")
Place
- [Chesterville Branch, MD](/catalog/items?q=&filter=tags%3DChesterville+Branch%2C+MD "Chesterville Branch, MD (Chesterville Branch, MD, Place, None)")
- [Indian Creek, KS](/catalog/items?q=&filter=tags%3DIndian+Creek%2C+KS "Indian Creek, KS (Indian Creek, KS, Place, None)")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
USGS Scientific Topic Keyword
- [Water Resources](/catalog/items?q=&filter=tags%3DWater+Resources "Water Resources (Water Resources, USGS Scientific Topic Keyword, )")
## Provenance
Data sourceInput directly
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F71R6NMQ |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Scott C. Kronholm</origin>\n <origin>Paul D. Capel</origin>\n <pubdate>20160629</pubdate>\n <title>Real and synthetic data used to test the Two-tracer Ratio-based Mixing Model (TRaMM)</title>\n <geoform>Tabular Digital Data</geoform>\n <pubinfo>\n <pubplace>Reston, VA, USA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F71R6NMQ</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Scott C. Kronholm</origin>\n <origin>Paul D. Capel</origin>\n <pubdate>2016</pubdate>\n <title>Estimation of time-variable fast flow path chemical concentrations for application in tracer-based hydrograph separation analyses</title>\n <geoform>Publication (Journal)</geoform>\n <serinfo>\n <sername>Water Resources Research</sername>\n <issue>Volume 52, Issue 9</issue>\n </serinfo>\n <pubinfo>\n <pubplace>New York, NY</pubplace>\n <publish>John Wiley and Sons Inc.</publish>\n </pubinfo>\n <onlink>https://doi.org/10.1002/2016WR018797</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This USGS Data Release represents the synthetic and real data from hydrologically diverse streams used to test the performance and limitations of the Two-tracer Ratio-based Mixing Model (TRaMM) which uses high-frequency measures of two tracers (A and B) and streamflow to separate total streamflow into water from slowflow and fastflow sources. The ratio between the concentrations of the two tracers is used to create a time-variable estimate of the concentration of each tracer in the fastflow end-member. Synthetic data from a groundwater dominated stream and an overland flow dominated stream were used to test the sensitivity of the model to various conditions and tracer concentrations. The sensitivity analysis provides understanding of the relation between the inputs and outputs of the model while providing information regarding its practicality and limitations. High-frequency nitrate and specific conductance data from Chesterville Branch, Maryland and Indian Creek, Kansas in 2013 were used to test the model under real-world conditions. These data support the following publication: Kronholm, S.C. and Capel, P.D., 2016, Estimation of time-variable fast flow path chemical concentrations for application in tracer-based hydrograph separation analyses: Water Resour. Res., 52, 6881-6896, https://doi.org/10.1002/2016WR018797.</abstract>\n <purpose>Data sets were created to test the validity of the Two-tracer Ratio-based Mixing Model (TRaMM). The model was applied to real data from two hydrologically different streams. Synthetic data were designed to test the precision and bias of the model against known values. The analysis of the synthetic data with various conditions of streamflow and tracer concentration provided information regarding the performance of the model, which aided in the interpretation of the results from the real data. This provides useful information for tracking chemical movement to streams and allows for better selection and implementation of water quality management strategies.</purpose>\n <supplinf>In the Scenario data in this data release, tracer A could be any chemical such as nitrate (in milligrams per liter as nitrogen) and tracer B could be any chemical. When tracer B is specific conductance (in microsiemens per centimeter), it can be approximated as total dissolved solids (in milligrams per liter) by multiplying specific conductance (in microsiemens per centimeter) times 0.64.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20130401</begdate>\n <enddate>20130630</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-94.60777778</westbc>\n <eastbc>-75.94013889</eastbc>\n <northbc>39.25706</northbc>\n <southbc>38.93833</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>Baseflow separation</themekey>\n <themekey>Continuous data</themekey>\n <themekey>End-member mixing analysis</themekey>\n <themekey>Groundwater transport</themekey>\n <themekey>High-frequency water quality data</themekey>\n <themekey>Hydrograph separation</themekey>\n <themekey>Modeling</themekey>\n <themekey>Overland flow</themekey>\n <themekey>Streamflow</themekey>\n <themekey>Time-variable end-member concentration</themekey>\n <themekey>Water budgets</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:576c1722e4b07657d1a26f60</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Chesterville Branch, MD</placekey>\n <placekey>Indian Creek, KS</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Paul D. Capel</cntper>\n <cntorg>U.S. Geological Survey, WATER</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2270 Woodale Drive</address>\n <city>Mounds View</city>\n <state>MN</state>\n <postal>55112</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>612-625-3082</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Support and funding: USGS National Water Quality Project and University of Minnesota Water Resource Sciences Program</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2016</pubdate>\n <title>USGS Water Data for the Nation</title>\n <geoform>Database</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7P55KJN</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20130401</begdate>\n <enddate>20130630</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>NWIS</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Information about the creation of the real and synthetic data sets used to test the model is described in: Kronholm, S.C. and Capel, P.D., 2016, Estimation of time-variable fast flow path chemical concentrations for application in tracer-based hydrograph separation analyses: Water Resour. Res., 52, 6881-6896, https://doi.org/10.1002/2016WR018797.</procdesc>\n <procdate>20160601</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Chesterville_Branch_Maryland_real_stream_data.csv and Indian_Creek_Kansas_real_stream_data.csv</enttypl>\n <enttypd>The two data sets are CSV tables of reviewed water-quality data used to test the model.</enttypd>\n <enttypds>National Water Information System (NWIS), https://doi.org/10.5066/F7P55KJN; Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Date_time</attrlabl>\n <attrdef>Date and time, in month/day/year hour</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4/1/2013</rdommin>\n <rdommax>6/30/2013</rdommax>\n <attrunit>Date and hour</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Streamflow_cms</attrlabl>\n <attrdef>Streamflow, in cubic meters per second</attrdef>\n <attrdefs>National Water Information System (NWIS), https://doi.org/10.5066/F7P55KJN; Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.116</rdommin>\n <rdommax>34.83</rdommax>\n <attrunit>Cubic meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stream_NO3_mg_per_L</attrlabl>\n <attrdef>Stream nitrate concentration, in milligrams per liter as nitrogen</attrdef>\n <attrdefs>National Water Information System (NWIS), https://doi.org/10.5066/F7P55KJN; Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.69</rdommin>\n <rdommax>8.64</rdommax>\n <attrunit>Milligrams per liter as nitrogen</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stream_SC_uS_per_cm</attrlabl>\n <attrdef>Stream specific conductance, in microsiemens per centimeter</attrdef>\n <attrdefs>National Water Information System (NWIS), https://doi.org/10.5066/F7P55KJN; Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>49</rdommin>\n <rdommax>1480</rdommax>\n <attrunit>Microsiemens per centimeter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Slowflow_NO3_mg_per_L</attrlabl>\n <attrdef>Slowflow nitrate concentration, in milligrams per liter as nitrogen</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8.36</rdommin>\n <rdommax>8.64</rdommax>\n <attrunit>Milligrams per liter as nitrogen</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Slowflow_SC_uS_per_cm</attrlabl>\n <attrdef>Slowflow specific conductance, in microsiemens per centimeter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>203</rdommin>\n <rdommax>1480</rdommax>\n <attrunit>Microsiemens per centimeter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Str_NO3_int</attrlabl>\n <attrdef>Stream nitrate concentration data were interpolated: Yes or No</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No</edomv>\n <edomvd>Data were not interpolated</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Yes</edomv>\n <edomvd>Data were interpolated</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Str_SC_int</attrlabl>\n <attrdef>Stream specific conductance data were interpolated: Yes or No</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>No</edomv>\n <edomvd>Data were not interpolated</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Yes</edomv>\n <edomvd>Data were interpolated</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Scenario_1_1.csv, Scenario_1_2.csv, Scenario_1_3.csv, Scenario_1_4.csv, Scenario_1_5.csv, Scenario_1_6.csv, Scenario_1_7.csv, Scenario_2_1.csv, Scenario_2_2.csv, Scenario_2_3.csv, Scenario_2_4.csv, Scenario_2_5.csv, Scenario_2_6.csv, Scenario_2_7.csv</enttypl>\n <enttypd>The data sets are CSV tables of synthetic data used to test the sensitivity of the Two-tracer Ratio-based Mixing Model (TRaMM) to various conditions of streamflow and tracer concentration. The Scenario_1 stream was created to represent a stream that has large inputs of groundwater to the stream. The Scenario_2 stream was created to represent a stream that is dominated by overland flow additions of water to the stream. \n\xe2\x80\xa2 Scenario_1_1.csv and Scenario_2_1.csv: Streamflow peak occurs at the same time as the minimum concentrations of A and B in fastflow, \n\xe2\x80\xa2 Scenario_1_2.csv and Scenario_2_2.csv: Streamflow peak occurs, but the minimum concentrations of A and B in fastflow both occur before streamflow peak, \n\xe2\x80\xa2 Scenario_1_3.csv and Scenario_2_3.csv: Streamflow peak occurs, but the minimum concentrations of A and B in fastflow both occur after streamflow peak, \n\xe2\x80\xa2 Scenario_1_4.csv and Scenario_2_4.csv: Streamflow peak and the minimum concentration of A in fastflow occur at the same time, but the minimum concentration of B in fastflow occurs before the streamflow peak, \n\xe2\x80\xa2 Scenario_1_5.csv and Scenario_2_5.csv: Streamflow peak and the minimum concentration of A in fastflow occur at the same time, but the minimum concentration of B in fastflow occurs after streamflow peak, \n\xe2\x80\xa2 Scenario_1_6.csv and Scenario_2_6.csv: Streamflow peak occurs, but the minimum concentration of A occurs before the streamflow peak, and the minimum concentration of B in fastflow occurs after the streamflow peak, \n\xe2\x80\xa2 Scenario_1_7.csv and Scenario_2_7.csv: Streamflow peak occurs at the same time as the maximum concentration of A and minimum concentration of B in fastflow.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Time_hrs</attrlabl>\n <attrdef>Time, in hours</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>336</rdommax>\n <attrunit>Hours</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Streamflow_cms</attrlabl>\n <attrdef>Streamflow, in cubic meters per second</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10.0</rdommin>\n <rdommax>217</rdommax>\n <attrunit>Cubic meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Slowflow_cms</attrlabl>\n <attrdef>Slowflow, in cubic meters per second</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>9.9</rdommin>\n <rdommax>108.5</rdommax>\n <attrunit>Cubic meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fastflow_cms</attrlabl>\n <attrdef>Fastflow, in cubic meters per second</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>197</rdommax>\n <attrunit>Cubic meters per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stream_A_mg_per_L</attrlabl>\n <attrdef>Stream tracer A concentration, in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.7</rdommin>\n <rdommax>9.1</rdommax>\n <attrunit>Milligrams per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stream_B_mg_per_L</attrlabl>\n <attrdef>Stream tracer B concentration, in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>53.9</rdommin>\n <rdommax>535.6</rdommax>\n <attrunit>Milligrams per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stream_B_uS_per_cm</attrlabl>\n <attrdef>Stream tracer B concentration, in microsiemens per centimeter. When tracer B is specific conductance (SC), it can be approximated as total dissolved solids (TDS, in milligrams per liter) by multiplying SC (in microsiemens per centimeter) times 0.64.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>84.3</rdommin>\n <rdommax>836.9</rdommax>\n <attrunit>Microsiemens per centimeter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Slowflow_A_mg_per_L</attrlabl>\n <attrdef>Slowflow tracer A concentration, in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>7</rdommax>\n <attrunit>Milligrams per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Slowflow_B_mg_per_L</attrlabl>\n <attrdef>Slowflow tracer B concentration, in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>540</rdommin>\n <rdommax>540</rdommax>\n <attrunit>Milligrams per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Slowflow_B_uS_per_cm</attrlabl>\n <attrdef>Slowflow tracer B concentration, in microsiemens per centimeter. When tracer B is specific conductance (SC), it can be approximated as total dissolved solids (TDS, in milligrams per liter) by multiplying SC (in microsiemens per centimeter) times 0.64.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>843.8</rdommin>\n <rdommax>843.8</rdommax>\n <attrunit>Microsiemens per centimeter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fastflow_A_mg_per_L</attrlabl>\n <attrdef>Fastflow tracer A concentration, in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>9.9</rdommax>\n <attrunit>Milligrams per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fastflow_B_mg_per_L</attrlabl>\n <attrdef>Fastflow tracer B concentration, in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4.6</rdommin>\n <rdommax>100</rdommax>\n <attrunit>Milligrams per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fastflow_B_uS_per_cm:</attrlabl>\n <attrdef>Fastflow tracer B concentration, in microsiemens per centimeter. When tracer B is specific conductance (SC), it can be approximated as total dissolved solids (TDS, in milligrams per liter) by multiplying SC (in microsiemens per centimeter) times 0.64.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>7.2</rdommin>\n <rdommax>156.3</rdommax>\n <attrunit>Microsiemens per centimeter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stream_A_load_kg_per_sec</attrlabl>\n <attrdef>Stream tracer A load, in kilograms per second</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>1.98</rdommax>\n <attrunit>Kilograms per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stream_B_load_kg_per_sec</attrlabl>\n <attrdef>Stream tracer B load, in kilograms per second</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5.35</rdommin>\n <rdommax>59.7</rdommax>\n <attrunit>Kilograms per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Slowflow_A_load_kg_per_sec</attrlabl>\n <attrdef>Slowflow tracer A load, in kilograms per second</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>0.76</rdommax>\n <attrunit>Kilograms per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Slowflow_B_load_kg_per_sec</attrlabl>\n <attrdef>Slowflow tracer B load, in kilograms per second</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5.34</rdommin>\n <rdommax>58.6</rdommax>\n <attrunit>Kilograms per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fastflow_A_load_kg_per_sec</attrlabl>\n <attrdef>Fastflow tracer A load, in kilograms per second</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.00</rdommin>\n <rdommax>1.96</rdommax>\n <attrunit>Kilograms per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fastflow_B_load_kg_per_sec</attrlabl>\n <attrdef>Fastflow tracer B load, in kilograms per second</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>7.82</rdommax>\n <attrunit>Kilograms per second</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>ScienceBase</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation to understand appropriate use and data limitations.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Tabular Digital Data</formname>\n <formvern>None</formvern>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F71R6NMQ</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20220908</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>gs-wma-impd-mdmf</cntper>\n <cntorg>U.S. Geological Survey, Northeast Region</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>3450 Princeton Pike</address>\n <address>Suite 110</address>\n <city>Lawrenceville</city>\n <state>NJ</state>\n <postal>08648</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>609-771-3950</cntvoice>\n <cntfax>609-771-3915</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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3. [2017 seismic imaging of the West Napa Fault Zone, St. Helena, California](/catalog/folder/5ad94505e4b0e2c2dd27aa1a)
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## Dates
Publication Date2018-07-25Time Period2017-04-11
## Citation
Chan, J.C., Catchings, R.D., Philibosian, B., Goldman, M.R., Criley, C.J., Sickler, R.R., and DeLong, S.B., 2018, 2017 seismic imaging of the West Napa Fault Zone, St. Helena, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9LKXZKP.
## Summary
In April 2017, the U.S. Geological Survey acquired high resolution P- and S-wave seismic data across the suspected trace of the West Napa Fault zone in St. Helena, California. We acquired seismic reflection, refraction, and guided-wave data along a 215-m-long profile across the expected trend of the West Napa Fault zone. To acquire the reflection and refraction data, we co-located shots and geophones, spaced every 2 m along the profile. We used 109 SercelTM L40A P-wave (40-Hz vertical-component) geophones with a sensitivity of 22.34 volts/meter/second to record 108 P-wave shots, and 109 SercelTM L28-LBH S-wave (4.5-Hz horizontal-component) geophones with a sensitivity of 31.3 volts/meter/second to record 108 S-wave shots. We generated \[...\]
## Summary
In April 2017, the U.S. Geological Survey acquired high resolution P- and S-wave seismic data across the suspected trace of the West Napa Fault zone in St. Helena, California. We acquired seismic reflection, refraction, and guided-wave data along a 215-m-long profile across the expected trend of the West Napa Fault zone. To acquire the reflection and refraction data, we co-located shots and geophones, spaced every 2 m along the profile. We used 109 SercelTM L40A P-wave (40-Hz vertical-component) geophones with a sensitivity of 22.34 volts/meter/second to record 108 P-wave shots, and 109 SercelTM L28-LBH S-wave (4.5-Hz horizontal-component) geophones with a sensitivity of 31.3 volts/meter/second to record 108 S-wave shots. We generated P-wave data using one of two active sources depending on site accessibility: a 226-kg accelerated weight drop (AWD) and a 3.5-kg sledgehammer and steel plate combination. S-wave sources were generated by horizontally striking an aluminum block with a 3.5-kg sledgehammer. We acquired fault zone guided wave data by generating P- (AWD) and S-wave (angle AWD) energy approximately 225 m north of the P- and S-wave recording arrays. All data were recorded using two 60-channel Geometrics Stratavisor NX-60TM seismographs with a 24-bit analog-to-digital converter with a roll-along descaling factor (Subcommittee of the SEG Engineering and Groundwater Geophysics Committee, 1990); the seismographs were connected to the P- and S-wave geophones via refraction cables. Each shot was recorded for two seconds, with data recording starting 100 ms before the actual time of the shot. Data were recorded at a sampling rate of 0.5 ms, or 2000 samples per second. This report provides the metadata needed to utilize the seismic data.
Reference: Subcommittee of the SEG Engineering and Groundwater Geophysics Committee, Pullan, S.E., Chairman, 1990, Recommended standard for seismic (/radar) data files in the personal computer environment: Geophysics, v. 55, n. 9, p. 1,260-1,271.
## Contacts
Point of Contact
:
[Joanne H Chan](/catalog/catalogParty/show?partyId=66894),
[Rufus D Catchings](/catalog/catalogParty/show?partyId=1657)
Process Contact
:
[Mark R Goldman](/catalog/catalogParty/show?partyId=3759)
Originator
:
[Joanne H Chan](/catalog/catalogParty/show?partyId=66894),
[Rufus D Catchings](/catalog/catalogParty/show?partyId=1657),
[Belle E Philibosian](/catalog/catalogParty/show?partyId=71033),
[Mark R Goldman](/catalog/catalogParty/show?partyId=3759),
[Coyn J Criley](/catalog/catalogParty/show?partyId=2176),
[Robert R Sickler](/catalog/catalogParty/show?partyId=9454),
[Stephen B DeLong](/catalog/catalogParty/show?partyId=12389)
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[Joanne H Chan](/catalog/catalogParty/show?partyId=66894),
[Mark R Goldman](/catalog/catalogParty/show?partyId=3759)
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[Carolyn Stieban](/catalog/catalogParty/show?partyId=Carolyn+Stieban),
[Keith Galvin](/catalog/catalogParty/show?partyId=Keith+Galvin),
[Shuai Zhao](/catalog/catalogParty/show?partyId=73355),
[Ryota Kiuchi](/catalog/catalogParty/show?partyId=74721)
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[Office of the Southwest Regional Director](/catalog/catalogParty/show?partyId=17393)
... show more ... (Contacts)
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| StHelena\_4\_2017\_metadata.xml<br>_Original FGDC Metadata_ | View | 19.19 KB | application/fgdc+xml |
| StH17Map.jpg<br>“Map of study area” |  | 140.25 KB | image/jpeg |
| StHelena\_4\_2017\_locations.csv<br>“Station locations” | | 7.98 KB | text/csv |
| StHelena\_4\_2017\_shots.csv<br>“Shot locations” | | 33.36 KB | text/csv |
| StHelena\_4\_2017\_SEG2.tar<br>“SEG2 seismic data” | | 765.9 MB | application/x-tar |
## Purpose
The primary goal of the seismic survey was to precisely locate the trace of the West Napa Fault in St. Helena to assist in a paleoseismic trenching investigation.
## Preview Image

Map of study area
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[](/catalog/item/imap/5ad94505e4b0e2c2dd27aa1a)
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## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9LKXZKP |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Chan, J.C.</origin>\n <origin>Catchings, R.D.</origin>\n <origin>Philibosian, B.</origin>\n <origin>Goldman, M.R.</origin>\n <origin>Criley, C.J.</origin>\n <origin>Sickler, R.R.</origin>\n <origin>DeLong, S.B.</origin>\n <pubdate>2018</pubdate>\n <title>2017 seismic imaging of the West Napa Fault Zone, St. Helena, California</title>\n <geoform>Binary SEG-2 Data Files and csv files</geoform>\n <pubinfo>\n <pubplace>Menlo Park, CA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9LKXZKP</onlink>\n <onlink>https://www.sciencebase.gov/catalog/item/5ad94505e4b0e2c2dd27aa1a</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>In April 2017, the U.S. Geological Survey acquired high resolution P- and S-wave seismic data across the suspected trace of the West Napa Fault zone in St. Helena, California. We acquired seismic reflection, refraction, and guided-wave data along a 215-m-long profile across the expected trend of the West Napa Fault zone. To acquire the reflection and refraction data, we co-located shots and geophones, spaced every 2 m along the profile. We used 109 SercelTM L40A P-wave (40-Hz vertical-component) geophones with a sensitivity of 22.34 volts/meter/second to record 108 P-wave shots, and 109 SercelTM L28-LBH S-wave (4.5-Hz horizontal-component) geophones with a sensitivity of 31.3 volts/meter/second to record 108 S-wave shots. We generated P-wave data using one of two active sources depending on site accessibility: a 226-kg accelerated weight drop (AWD) and a 3.5-kg sledgehammer and steel plate combination. S-wave sources were generated by horizontally striking an aluminum block with a 3.5-kg sledgehammer. We acquired fault zone guided wave data by generating P- (AWD) and S-wave (angle AWD) energy approximately 225 m north of the P- and S-wave recording arrays. All data were recorded using two 60-channel Geometrics Stratavisor NX-60TM seismographs with a 24-bit analog-to-digital converter with a roll-along descaling factor (Subcommittee of the SEG Engineering and Groundwater Geophysics Committee, 1990); the seismographs were connected to the P- and S-wave geophones via refraction cables. Each shot was recorded for two seconds, with data recording starting 100 ms before the actual time of the shot. Data were recorded at a sampling rate of 0.5 ms, or 2000 samples per second. This report provides the metadata needed to utilize the seismic data. \n\nReference: \nSubcommittee of the SEG Engineering and Groundwater Geophysics Committee, Pullan, \nS. E., Chairman, 1990, Recommended standard for seismic (/radar) data files in the \npersonal computer environment: Geophysics, vol. 55, no. 9, p. 1260-1271.</abstract>\n <purpose>The primary goal of the seismic survey was to precisely locate the trace of the West Napa Fault in St. Helena to assist in a paleoseismic trenching investigation.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>20170411</caldate>\n </sngdate>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-122.53153107168</westbc>\n <eastbc>-122.24039337638</eastbc>\n <northbc>38.634873230994</northbc>\n <southbc>38.420005674318</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>seismology</themekey>\n <themekey>earthquakes</themekey>\n <themekey>seismic refraction methods</themekey>\n <themekey>faulting (geologic)</themekey>\n <themekey>hazards</themekey>\n <themekey>seismic reflection methods</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5ad94505e4b0e2c2dd27aa1a</themekey>\n </theme>\n <place>\n <placekt>Common Geographic Areas</placekt>\n <placekey>Saint Helena</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Joanne H Chan</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Geophysicist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 977, 345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>650-329-5516</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <browse>\n <browsen>StH17Map.jpg</browsen>\n <browsed>Map of study area</browsed>\n <browset>JPG</browset>\n </browse>\n <datacred>We would like to thank volunteers Carolyn Stieban, Keith Galvin, Shuai Zhao, and Ryota Kiuchi for their help in the field.</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>We acquired seismic reflection, refraction, and guided-wave data along a 215-m-long profile across the expected trend of the West Napa Fault zone. To acquire the reflection and refraction data, we co-located shots and geophones, spaced every 2 m along the profile. We used 109 SercelTM L40A P-wave (40-Hz vertical-component) geophones with a sensitivity of 22.34 volts/meter/second to record 108 P-wave shots, and 109 SercelTM L28-LBH S-wave (4.5-Hz horizontal-component) geophones with a sensitivity of 31.3 volts/meter/second to record 108 S-wave shots. Data recorded at 0.5 ms sampling rate, 4000 samples per trace. \n\nAll data were recorded using two 60-channel Geometrics Stratavisor NX-60TM seismographs with a 24-bit analog-to-digital converter; the seismographs were connected to the P- and S-wave geophones via refraction cables. Each shot was recorded for two seconds, with data recording starting 100 ms before the actual time of the shot. Data were recorded at a sampling rate of 0.5 ms, or 2000 samples per second.</procdesc>\n <procdate>20170411</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Mark R Goldman</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Geophysicist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 977, 345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>650-329-5496</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n <procstep>\n <procdesc>Channel and shot numbers are in the same order as station numbers, and we used 2 recording instruments: 78015 and 78023, each recording 60 channels. Instrument 78015 recorded data from stations 1-56 and instrument 78023 recorded data from stations 55-109. Instrument 78015, channel 59 is co-located with instrument 78023, channel 01; instrument 78015, channel 60 is co-located with instrument 78023, channel 02; instrument 78023, channel 30 is co-located with instrument 78023, channel 31. For instrument 78015: channels 9,36,37 and 46 were offline and not used. Channels 1-60 were located at stations 1-56 respectively, not including offline channels. For instrument 78023: channels 6,26,37 and 60 were offline and not used. Channels 1-60 were located at stations 55-109 respectively, not including offline channels and with channels 30 and 31 co-located at the same station.</procdesc>\n <procdate>20170411</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n </spdoinfo>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>StHelena_4_2017_locations.csv</enttypl>\n <enttypd>channel station, latitude, longitude, elevation</enttypd>\n <enttypds>Mark Goldman</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Channel station</attrlabl>\n <attrdef>Numerical value assigned to each geophone location</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>109</rdommax>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Guided wave (GW#) shot locations from either a P-wave source (GW##P) or an S-wave source (GW##S)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>latitude</attrlabl>\n <attrdef>Angular distance north or south of the earth's equator expressed in degree decimal</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>38.53711764</rdommin>\n <rdommax>38.53933844</rdommax>\n <attrunit>decimal degree</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>longitude</attrlabl>\n <attrdef>Angular distance east or west of the meridian expressed in decimal degree</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-122.498196</rdommin>\n <rdommax>-122.4957692</rdommax>\n <attrunit>decimal degree</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>elevation</attrlabl>\n <attrdef>Meters above sea level</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>75.27</rdommin>\n <rdommax>82.28</rdommax>\n <attrunit>meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>StHelena_4_2017_shots.csv</enttypl>\n <enttypd>PWave filenames z15, Pwave filenames z23, station, channel, source type, recording_range, SWave filenames z15, SWave filenames z23, Guided-wave filenames z15, Guided-wave filenames z23</enttypd>\n <enttypds>Mark Goldman</enttypds>\n </enttyp>\n <attr>\n <attrlabl>PWAVE FILENAMES z15</attrlabl>\n <attrdef>Numeric identifier for each P-wave shot recorded by seismograph z15</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>21</rdommin>\n <rdommax>486</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PWAVE FILENAMES z23</attrlabl>\n <attrdef>Numeric identifier for each P-wave shot recorded by seismograph z23</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>21</rdommin>\n <rdommax>486</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Station</attrlabl>\n <attrdef>Numeric identifier for shot location</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>109</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>GW01</edomv>\n <edomvd>Guided-wave shot number 1</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>GW02P</edomv>\n <edomvd>Guided-wave shot number 2 P-wave</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>GW05P</edomv>\n <edomvd>Guided-wave shot number 5 P-wave</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>GW03S</edomv>\n <edomvd>Guided-wave shot number 3 S-wave</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>GW04S</edomv>\n <edomvd>Guided-wave shot number 4 S-wave</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Channel</attrlabl>\n <attrdef>Numeric identifier for shot location</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>109</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Source Type</attrlabl>\n <attrdef>Seismic source type</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>AWD</edomv>\n <edomvd>Accelerated weight drop</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>hammer</edomv>\n <edomvd>4.5-kg sledgehammer</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>recording_range</attrlabl>\n <attrdef>The range of channels that recorded the shot</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>01-109</edomv>\n <edomvd>Channels 1 to 109 recorded the shot</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SWAVE FILENAMES z15</attrlabl>\n <attrdef>Numeric identifier for each S-wave shot recorded by seismograph z15</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>487</rdommin>\n <rdommax>745</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SWAVE FILENAMES z23</attrlabl>\n <attrdef>Numeric identifier for each S-wave shot recorded by seismograph z23</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>487</rdommin>\n <rdommax>745</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GUIDED-WAVE FILENAMES z15</attrlabl>\n <attrdef>Numeric identifier for each guided-wave shot recorded by seismograph z15</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>551</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>GUIDED-WAVE FILENAMES z23</attrlabl>\n <attrdef>Numeric identifier for each guided-wave shot recorded by seismograph z23</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>551</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>StHelena_4_2017_SEG2.tar</enttypl>\n <enttypd>Raw seismic data in SEG2 format</enttypd>\n <enttypds>Mark Goldman</enttypds>\n </enttyp>\n <attr>\n <attrlabl>NA</attrlabl>\n <attrdef>Recording seismograph name and shot number</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Each raw seismic data file is identified with the recording seismograph (either z15 or z23) and the shot number following the seismograph name.</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>comma-delimited text, SEG-2</formname>\n <transize>799</transize>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://www.sciencebase.gov/catalog/file/get/5ad94505e4b0e2c2dd27aa1a</networkr>\n <networkr>https://doi.org/10.5066/P9LKXZKP</networkr>\n </networka>\n </computer>\n <accinstr>The first network resource link will begin a direct download of the data. The second link is a landing page for the entire project.</accinstr>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Joanne H Chan</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Geophysicist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 977, 345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>650-329-5516</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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## Dates
Publication Date2020-12-11Time Period2020
## Citation
Croke, M.R., Bern, C.R., Birdwell, J.E., Jubb, A.M., Adams, M., and Chenault, J.C., 2020, Results of leaching experiments on 12 energy-related shales from the United States: U.S. Geological Survey data release, https://doi.org/10.5066/P98GUULU.
## Summary
Inorganic compositions of flowback and co-produced waters from hydrocarbon extraction have been studied directly and through laboratory experiments that seek to replicate subsurface water-rock interaction. Here a broad analysis is made of compositions from the U.S. Geological Survey Produced Waters Database (v2.3) and leachates (water, hydrochloric acid, artificial brine) for 12 energy-resource related shales from across the United States. The database illustrates common ranges for 26 elements in 4 produced water types and enhanced solubility with increasing ionic strength is observed for Al, Ba, Fe, Li, Mn, Rb, Sr, and possibly 11 other elements. Differences are observed between laboratory leachates and produced waters. Reasons for \[...\]
## Summary
Inorganic compositions of flowback and co-produced waters from hydrocarbon extraction have been studied directly and through laboratory experiments that seek to replicate subsurface water-rock interaction. Here a broad analysis is made of compositions from the U.S. Geological Survey Produced Waters Database (v2.3) and leachates (water, hydrochloric acid, artificial brine) for 12 energy-resource related shales from across the United States. The database illustrates common ranges for 26 elements in 4 produced water types and enhanced solubility with increasing ionic strength is observed for Al, Ba, Fe, Li, Mn, Rb, Sr, and possibly 11 other elements. Differences are observed between laboratory leachates and produced waters. Reasons for those differences include: (1) ionic strength effects and low ionic strength of some leachates relative to subsurface brines, (2) pH-sensitivity of constituents and leachate offsets from produced water pH values, (3) oxidative conditions and enhanced pyrite oxidation in leachates compared to subsurface conditions, (4) kinetic controls on reaction rates and insufficient durations for leaching experiments, (5) leachate water-rock ratios that are commonly 3 or 4 orders of magnitude greater than in the subsurface. The findings provide important context for interpreting produced water compositions and efforts to simulate them in the laboratory.
## Contacts
Point of Contact
:
[Aaron M Jubb](/catalog/catalogParty/show?partyId=73218)
Originator
:
[Mary R Croke](/catalog/catalogParty/show?partyId=76748),
[Carleton R Bern](/catalog/catalogParty/show?partyId=41064),
[Justin E Birdwell](/catalog/catalogParty/show?partyId=15487),
[Aaron M Jubb](/catalog/catalogParty/show?partyId=73218),
[Monique Adams](/catalog/catalogParty/show?partyId=53),
[Jessica C Chenault](/catalog/catalogParty/show?partyId=Jessica+C+Chenault)
Metadata Contact
:
[Eric A Morrissey](/catalog/catalogParty/show?partyId=7209)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Energy and Minerals](/catalog/catalogParty/show?partyId=Energy+and+Minerals)
SDC Data Owner
:
[Geology, Energy & Minerals Science Center](/catalog/catalogParty/show?partyId=17290)
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| Product\_10.5066P98GUULU\_METADATA.xml<br>_Original FGDC Metadata_ | View | 126.19 KB | application/fgdc+xml |
| DR\_Table\_brine\_leaches.csv | | 8.31 KB | text/csv |
| DR\_Table\_HCl\_leaches.csv | | 7.95 KB | text/csv |
| DR\_Table\_quantitative\_mineralogy.csv | | 742 Bytes | text/csv |
| DR\_Table\_shale\_elemental\_composition.csv | | 4.42 KB | text/csv |
| DR\_Table\_water\_leaches.csv | | 9.8 KB | text/csv |
## Purpose
Data were collected in order to analyze leachates from 12 energy-resource related shales.
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## Communities
- Geology, Energy & Minerals (GEM) Science Center
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## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [Energy resources](/catalog/items?q=&filter=tags%3DEnergy+resources "Energy resources (Energy resources, Theme, USGS Thesaurus)")
- [Leachates](/catalog/items?q=&filter=tags%3DLeachates "Leachates (Leachates, Theme, USGS Thesaurus)")
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- [Colorado](/catalog/items?q=&filter=tags%3DColorado "Colorado (Colorado, Place, Geographic Names Information System (GNIS) https://geonames.usgs.gov/apex/f?p=138:1:0:::::)")
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## Provenance
Please see attached metadata record for full dataset provenance.
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P98GUULU |
| USGS\_ScienceCenter | https://www.sciencebase.gov/vocab/category/item/identifier | Geology, Energy, and Minerals Science Center |
| USGS\_MissionArea | https://www.sciencebase.gov/vocab/category/item/identifier | Energy and Minerals |
| USGS\_keywords | https://www.sciencebase.gov/vocab/category/item/identifier | Energy Resources, Geochemistry |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Croke, Mary R</origin>\n <origin>Bern, Carleton R</origin>\n <origin>Birdwell, Justin E</origin>\n <origin>Jubb, Aaron M</origin>\n <origin>Adams, Monique</origin>\n <origin>Chenault, Jessica C</origin>\n <pubdate>20201211</pubdate>\n <title>Results of leaching experiments on 12 energy-related shales from the United States</title>\n <geoform>Tabular</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P98GUULU</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Inorganic compositions of flowback and co-produced waters from hydrocarbon extraction have been studied directly and through laboratory experiments that seek to replicate subsurface water-rock interaction. Here a broad analysis is made of compositions from the U.S. Geological Survey Produced Waters Database (v2.3) and leachates (water, hydrochloric acid, artificial brine) for 12 energy-resource related shales from across the United States. The database illustrates common ranges for 26 elements in 4 produced water types and enhanced solubility with increasing ionic strength is observed for Al, Ba, Fe, Li, Mn, Rb, Sr, and possibly 11 other elements. Differences are observed between laboratory leachates and produced waters. Reasons for those differences include: (1) ionic strength effects and low ionic strength of some leachates relative to subsurface brines, (2) pH-sensitivity of constituents and leachate offsets from produced water pH values, (3) oxidative conditions and enhanced pyrite oxidation in leachates compared to subsurface conditions, (4) kinetic controls on reaction rates and insufficient durations for leaching experiments, (5) leachate water-rock ratios that are commonly 3 or 4 orders of magnitude greater than in the subsurface. The findings provide important context for interpreting produced water compositions and efforts to simulate them in the laboratory.</abstract>\n <purpose>Data were collected in order to analyze leachates from 12 energy-resource related shales.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <sngdate>\n <caldate>2020</caldate>\n </sngdate>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-110.46752929583</westbc>\n <eastbc>-76.541748047185</eastbc>\n <northbc>44.476598663317</northbc>\n <southbc>28.93567157197</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>Produced waters</themekey>\n <themekey>Leachates</themekey>\n <themekey>Energy resources</themekey>\n <themekey>Shale resources</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5f197b0d82cef313ed861060</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS) https://geonames.usgs.gov/apex/f?p=138:1:0:::::</placekt>\n <placekey>Utah</placekey>\n <placekey>New York</placekey>\n <placekey>North Dakota</placekey>\n <placekey>Texas</placekey>\n <placekey>Oklahoma</placekey>\n <placekey>Colorado</placekey>\n </place>\n <stratum>\n <stratkt>USGS Thesaurus</stratkt>\n <stratkey>Green River Formation</stratkey>\n <stratkey>Marcellus Formation</stratkey>\n <stratkey>Barnett Formation</stratkey>\n <stratkey>Bakken Formation</stratkey>\n <stratkey>Niobara Formation</stratkey>\n <stratkey>Boquillas Formation</stratkey>\n <stratkey>Mancos Formation</stratkey>\n <stratkey>Woodford Formation</stratkey>\n </stratum>\n <temporal>\n <tempkt>USGS Thesaurus: Time Periods</tempkt>\n <tempkey>Eocene</tempkey>\n <tempkey>Devonian</tempkey>\n <tempkey>Carboniferous</tempkey>\n <tempkey>Cretaceous</tempkey>\n </temporal>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Aaron M Jubb</cntper>\n <cntorg>NORTHEAST REGION: EASTERN ENERGY RESOURCES SC</cntorg>\n </cntperp>\n <cntpos>Research Chemist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 956, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-6481</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>The 12 shales were hand crushed in a corundum mortar and pestle and sieved using stainless steel sieves. Material <500 \xc2\xb5m was then powdered in an agate shatterbox to <75 \xc2\xb5m prior to bulk elemental and mineralogical analysis. Concentrations of 55 elements were determined by SGS Mineral Services (Lakefield, Ontario, Canada); the powdered sample was decomposed using a sodium peroxide fusion followed by analysis using inductively coupled plasma atomic emission spectroscopy (ICP-AES) and inductively-coupled plasma mass-spectrometry (ICP-MS).</procdesc>\n <procdate>2020</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Geographic Names Information System (GNIS) https://geonames.usgs.gov/apex/f?p=138:1:0:::::</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>DR_Table_brine_leaches</enttypl>\n <enttypd>Leachate data from an artificial brine solution using crushed shale samples</enttypd>\n <enttypds>Bern, Carleton R; Birdwell, Justin E; Jubb, Aaron M</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Submitter ID</attrlabl>\n <attrdef>Identification of the sample from the submitter, indicating sample origin and number. Samples were analyzed in duplicate</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>AB_1-1</rdommin>\n <rdommax>AB_12-2</rdommax>\n <attrunit>Sample identifier</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>AB_Standard-1</rdommin>\n <rdommax>AB_Standard-6</rdommax>\n <attrunit>Sample identifier</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>Blank-1_ICP</rdommin>\n <rdommax>Blank-3_ICP</rdommax>\n <attrunit>Sample identifier</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample Description</attrlabl>\n <attrdef>Sample identifier indicating sample collection formation</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Sample identifier indicating collection location</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TDS</attrlabl>\n <attrdef>Total dissolved solids in brine sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>60200</rdommin>\n <rdommax>66800</rdommax>\n <attrunit>Dissolved solids in milligrams per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pH</attrlabl>\n <attrdef>pH of brine sample</attrdef>\n <attrdefs>International Union of Pure and Applied Chemistry (IUPAC)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3.8</rdommin>\n <rdommax>8</rdommax>\n <attrunit>pH</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Cl] (mg/L)</attrlabl>\n <attrdef>Chloride present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>39400</rdommin>\n <rdommax>41400</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sulfate (mg/L)</attrlabl>\n <attrdef>Sulfate present in brine sample, in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>82.7</rdommin>\n <rdommax>505</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[B] (mg/L)</attrlabl>\n <attrdef>Boron present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0127</rdommin>\n <rdommax>2.25</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>non-detect - boron was not detected in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Ba] (mg/L)</attrlabl>\n <attrdef>Barium present in brine sample, in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0538</rdommin>\n <rdommax>5.27</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>non-detect - barium was not detected in sample</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Ca] (mg/L)</attrlabl>\n <attrdef>Calcium present in brine sample, in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>832</rdommin>\n <rdommax>1220</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Fe] (mg/L)</attrlabl>\n <attrdef>Iron present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.017</rdommin>\n <rdommax>145</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>non-detect - iron was not detected in sample</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[K] (mg/L)</attrlabl>\n <attrdef>Potassium in sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.57</rdommin>\n <rdommax>45.1</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>non-detect - potassium was not detected in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Li] (mg/L)</attrlabl>\n <attrdef>Lithium present in sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0157</rdommin>\n <rdommax>0.534</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>non-detect - Lithium was not detected in sample</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Mg] (mg/L)</attrlabl>\n <attrdef>Magnesium present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2070</rdommin>\n <rdommax>2840</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Mn] (mg/L)</attrlabl>\n <attrdef>Manganese present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.00043</rdommin>\n <rdommax>84.9</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>non-detect - manganese was not detected in sample</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Na] (mg/L)</attrlabl>\n <attrdef>Sodium present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>18000</rdommin>\n <rdommax>22000</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Si] (mg/L)</attrlabl>\n <attrdef>Silicon present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>58.5</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>non-detect - silicon was not detected in sample</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Sr] (mg/L)</attrlabl>\n <attrdef>Strontium present in sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0018</rdommin>\n <rdommax>5.38</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Al (mg/L)</attrlabl>\n <attrdef>Aluminum present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.098</rdommin>\n <rdommax>20.1</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[As] (mg/L)</attrlabl>\n <attrdef>Arsenic present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.02</rdommin>\n <rdommax>0.19</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Be] (mg/L)</attrlabl>\n <attrdef>Beryllium present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0.0145</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>non-detect - beryllium was not detected in sample</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Cd] (mg/L)</attrlabl>\n <attrdef>Cadmium present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.00194</rdommin>\n <rdommax>0.123</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Co] (mg/L)</attrlabl>\n <attrdef>Cobalt present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.006</rdommin>\n <rdommax>0.308</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Cr] (mg/L)</attrlabl>\n <attrdef>Chromium present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0.0363</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>non-detect - chromium was not detected in sample</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Cu] (mg/L)</attrlabl>\n <attrdef>Copper present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0149</rdommin>\n <rdommax>4.63</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>non-detect - copper was not detected in sample</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Hg] (mg/L)</attrlabl>\n <attrdef>Mercury present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.00661</rdommin>\n <rdommax>0.0277</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Mo] (mg/L)</attrlabl>\n <attrdef>Molybdenum present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0145</rdommin>\n <rdommax>3.11</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Ni] (mg/L)</attrlabl>\n <attrdef>Nickel present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.013</rdommin>\n <rdommax>1.02</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Pb] (mg/L)</attrlabl>\n <attrdef>Lead present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.032</rdommin>\n <rdommax>0.118</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Sb] (mg/L)</attrlabl>\n <attrdef>Antimony present in sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.012</rdommin>\n <rdommax>0.102</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[U] (mg/L)</attrlabl>\n <attrdef>Uranium present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0567</rdommin>\n <rdommax>0.664</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>non-detect - uranium was not detected in sample</udom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[V] (mg/L)</attrlabl>\n <attrdef>Vanadium present in brine sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.014</rdommin>\n <rdommax>0.059</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>[Zn] (mg/L)</attrlabl>\n <attrdef>Zinc present in sample in milligrams per liter</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.00448</rdommin>\n <rdommax>57.2</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>not measured</edomv>\n <edomvd>Value was not measured for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>DR_Table_HCl_leaches</enttypl>\n <enttypd>Leachate data from HCl solution</enttypd>\n <enttypds>Bern, Carleton R; Birdwell, Justin E; Jubb, Aaron M</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Lab No.</attrlabl>\n <attrdef>Lab identifier for shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Lab identifier</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Field No.</attrlabl>\n <attrdef>Field identification for shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Sample identifier indicating leaching method, sample number and batch number.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample Description</attrlabl>\n <attrdef>Sample identifier indicating sample formation source</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Identifier of sample collection location</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Job Number</attrlabl>\n <attrdef>Identifier of sample processing order</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Job identification for sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pH</attrlabl>\n <attrdef>pH of leachate from shale sample</attrdef>\n <attrdefs>International Union of Pure and Applied Chemistry (IUPAC)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.6</rdommin>\n <rdommax>3</rdommax>\n <attrunit>Standard units</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank values indicate measurement not taken</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ag</attrlabl>\n <attrdef>Silver present in leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom><20 - less than 20 micrograms per liter present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Al</attrlabl>\n <attrdef>Aluminum in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>344</rdommin>\n <rdommax>68000</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><60 - less than 60 micrograms per liter of aluminum present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>As</attrlabl>\n <attrdef>Arsenic in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>22</rdommin>\n <rdommax>356</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><20 - less than 20 micrograms per liter of arsenic present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ba</attrlabl>\n <attrdef>Barium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.6</rdommin>\n <rdommax>11500</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.2 - less than 0.2 micrograms per liter of barium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Be</attrlabl>\n <attrdef>Beryllium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2.6</rdommin>\n <rdommax>31.9</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Bi</attrlabl>\n <attrdef>Bismuth in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom><40 - less than 40 micrograms per liter of bismuth present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ca</attrlabl>\n <attrdef>Calcium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>12</rdommin>\n <rdommax>8260</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><4 - less than 4 milligrams per liter of calcium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cd</attrlabl>\n <attrdef>Cadmium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.75</rdommin>\n <rdommax>112</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ce</attrlabl>\n <attrdef>Cesium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.26</rdommin>\n <rdommax>700</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Co</attrlabl>\n <attrdef>Cobalt in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>22</rdommin>\n <rdommax>294</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><8 - less than 8 micrograms per liter of cobalt present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cr</attrlabl>\n <attrdef>Chromium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>25</rdommin>\n <rdommax>920</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><20 - less than 20 micrograms per liter of chromium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cs</attrlabl>\n <attrdef>Cesium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4.99</rdommin>\n <rdommax>16.7</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><4 - less than 4 micrograms per liter of cesium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Cu</attrlabl>\n <attrdef>Copper in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10</rdommin>\n <rdommax>4410</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><10 - less than 10 micrograms per liter of copper present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Dy</attrlabl>\n <attrdef>Dysprosium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.713</rdommin>\n <rdommax>155</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Er</attrlabl>\n <attrdef>Erbium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.46</rdommin>\n <rdommax>88.1</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Eu</attrlabl>\n <attrdef>Europium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.22</rdommin>\n <rdommax>30.6</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fe</attrlabl>\n <attrdef>Iron in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>12700</rdommin>\n <rdommax>309000</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1200 - less than 1200 micrograms per liter of iron present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ga</attrlabl>\n <attrdef>Gallium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.1</rdommin>\n <rdommax>12.2</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 microgram per liter of gallium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Gd</attrlabl>\n <attrdef>Gadolinium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.554</rdommin>\n <rdommax>172</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ge</attrlabl>\n <attrdef>Germanium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.2</rdommin>\n <rdommax>2.4</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 microgram per liter of germanium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Hf</attrlabl>\n <attrdef>Hafnium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2.9</rdommin>\n <rdommax>5.3</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><2 - less than 2 micrograms per liter of hafnium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ho</attrlabl>\n <attrdef>Holmium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.17</rdommin>\n <rdommax>33.3</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>K</attrlabl>\n <attrdef>Potassium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.99</rdommin>\n <rdommax>9.87</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>La</attrlabl>\n <attrdef>Lanthanum in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.74</rdommin>\n <rdommax>338</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Li</attrlabl>\n <attrdef>Lithium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>100</rdommin>\n <rdommax>684</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><100 - less than 100 micrograms per liter of lithium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lu</attrlabl>\n <attrdef>Lutetium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom><20 - less than 20 micrograms per liter of lutetium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Mg</attrlabl>\n <attrdef>Magnesium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4.76</rdommin>\n <rdommax>2190</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Mn</attrlabl>\n <attrdef>Manganese in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>13</rdommin>\n <rdommax>72000</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Mo</attrlabl>\n <attrdef>Molybdenum in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>41</rdommin>\n <rdommax>792</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><40 - less than 40 micrograms per liter of molybdenum present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Na</attrlabl>\n <attrdef>Sodium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.3</rdommin>\n <rdommax>96.5</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 milligram per liter of sodium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Nb</attrlabl>\n <attrdef>Niobium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom><4 - less than 4 micrograms per liter of niobium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Nd</attrlabl>\n <attrdef>Neodymium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.5</rdommin>\n <rdommax>549</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ni</attrlabl>\n <attrdef>Nickel in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>50.1</rdommin>\n <rdommax>1280</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><20 - less than 20 micrograms per liter of nickel present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>P</attrlabl>\n <attrdef>Phosphorous in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.37</rdommin>\n <rdommax>74.9</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.2 - less than 0.2 milligrams per liter of phosphorous present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Pb</attrlabl>\n <attrdef>Lead in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10.5</rdommin>\n <rdommax>828</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><10 - less than 10 micrograms per liter of lead present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Pr</attrlabl>\n <attrdef>Praseodymium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.31</rdommin>\n <rdommax>108</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rb</attrlabl>\n <attrdef>Rubidium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.53</rdommin>\n <rdommax>79</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sb</attrlabl>\n <attrdef>Antimony in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6.2</rdommin>\n <rdommax>107</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><6 - less than 6 micrograms per liter of antimony present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sc</attrlabl>\n <attrdef>Scandium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>16</rdommin>\n <rdommax>119</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><12 - less than 12 micrograms per liter of scandium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Se</attrlabl>\n <attrdef>Selenium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>21</rdommin>\n <rdommax>52</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><20 - less than 20 micrograms per liter of selenium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SiO2</attrlabl>\n <attrdef>Silicon dioxide in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4.4</rdommin>\n <rdommax>41</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><4 - less than 4 milligrams per liter of silicon dioxide present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sm</attrlabl>\n <attrdef>Samarium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.68</rdommin>\n <rdommax>152</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>SO4</attrlabl>\n <attrdef>Sulfate in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>130</rdommin>\n <rdommax>1590</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><100 - less than 100 milligrams per liter of sulfate present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sr</attrlabl>\n <attrdef>Strontium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>14</rdommin>\n <rdommax>32800</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ta</attrlabl>\n <attrdef>Tantalum in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom><10 - less than 10 micrograms per liter of tantalum present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Tb</attrlabl>\n <attrdef>Terbium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.26</rdommin>\n <rdommax>24.8</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Th</attrlabl>\n <attrdef>Thorium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>45.9</rdommin>\n <rdommax>112</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><40 - less than 40 micrograms per liter of thorium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Ti</attrlabl>\n <attrdef>Titanium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>17</rdommin>\n <rdommax>880</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><10 - less than 10 micrograms per liter of titanium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Tl</attrlabl>\n <attrdef>Thallium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom><20 - less than 20 micrograms per liter of thallium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Tm</attrlabl>\n <attrdef>Thulium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.28</rdommin>\n <rdommax>11.3</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>U</attrlabl>\n <attrdef>Uranium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>32.5</rdommin>\n <rdommax>646</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><20 - less than 20 micrograms per liter of uranium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>V</attrlabl>\n <attrdef>Vanadium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>18</rdommin>\n <rdommax>1890</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><10 - less than 10 micrograms per liter of vanadium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>W</attrlabl>\n <attrdef>Tungsten in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom><100 - less than 100 micrograms per liter of tungsten present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Y</attrlabl>\n <attrdef>Yttrium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.56</rdommin>\n <rdommax>989</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Yb</attrlabl>\n <attrdef>Ytterbium in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2.25</rdommin>\n <rdommax>63.3</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><2 - less than 2 micrograms per liter of ytterbium present in HCl leachate sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Zn</attrlabl>\n <attrdef>Zinc in HCl leachate from shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>95</rdommin>\n <rdommax>38100</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>DR_Table_quantitative_mineralogy</enttypl>\n <enttypd>Quantitative mineralogy of shale samples used in study. Due to rounding, the values may not sum to 100 percent weight.</enttypd>\n <enttypds>Bern, Carleton R; Birdwell, Justin E; Jubb, Aaron M</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Sample</attrlabl>\n <attrdef>Identification of the sample from the submitter, indicating sample origin and number.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Sample identifier indicating collection location</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Quartz</attrlabl>\n <attrdef>Quartz present in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>60</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Albite</attrlabl>\n <attrdef>Albite present in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5</rdommin>\n <rdommax>14</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank values indicate non-detects</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>K-Feldspar</attrlabl>\n <attrdef>Potassium feldspar present in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>18</rdommin>\n <rdommax>18</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank values indicate non-detects</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Analcime</attrlabl>\n <attrdef>Analcime present in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>1</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank values indicate non-detects</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Calcite</attrlabl>\n <attrdef>Calcite present in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3</rdommin>\n <rdommax>85</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank values indicate non-detects</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Dolomite</attrlabl>\n <attrdef>Dolomite in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4</rdommin>\n <rdommax>87</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank values indicate non-detects</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Pyrite</attrlabl>\n <attrdef>Pyrite present in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>5</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank values indicate non-detects</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Fluorapatite</attrlabl>\n <attrdef>Fluorapatite present in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3</rdommin>\n <rdommax>3</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank values indicate non-detects</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total non-clay</attrlabl>\n <attrdef>Total non-clay present in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>52</rdommin>\n <rdommax>100</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Chlorite</attrlabl>\n <attrdef>Chlorite present in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>4</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank values indicate non-detects</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Illite</attrlabl>\n <attrdef>Illite present in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4</rdommin>\n <rdommax>33</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank values indicate non-detects</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Kaolinite</attrlabl>\n <attrdef>Kaolinite present in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>8</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank values indicate non-detects</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Amorphous Others</attrlabl>\n <attrdef>Other amorphous mineral material in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>11</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>Blank values indicate non-detects</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total clay</attrlabl>\n <attrdef>Total clay minerals in sample in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>48</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>DR_Table_shale_elemental_composition</enttypl>\n <enttypd>Elemental composition of shale samples</enttypd>\n <enttypds>Bern, Carleton R; Birdwell, Justin E; Jubb, Aaron M</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Lab No.</attrlabl>\n <attrdef>Lab identifier for shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Lab identifier</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Field No.</attrlabl>\n <attrdef>Field identification for shale sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Field identification number</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample Description</attrlabl>\n <attrdef>Sample identifier indicating sample collection formation</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Identifier of sample collection location</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Job Number</attrlabl>\n <attrdef>Identifier of sample processing order</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Identifier of job order</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>HAWK TOC</attrlabl>\n <attrdef>Total organic carbon in sample as analyzed by HAWK instrument</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.95</rdommin>\n <rdommax>14.175</rdommax>\n <attrunit>Percent composition</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_CO2 C CRBNT_C</attrlabl>\n <attrdef>CO2 present in sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>12.04</rdommax>\n <attrunit>Percent weight</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Al</attrlabl>\n <attrdef>Aluminum in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.11</rdommin>\n <rdommax>9.11</rdommax>\n <attrunit>Percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Ca</attrlabl>\n <attrdef>Calcium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.18</rdommin>\n <rdommax>31.2</rdommax>\n <attrunit>Percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Fe</attrlabl>\n <attrdef>Iron in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>4.7</rdommax>\n <attrunit>Percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 K</attrlabl>\n <attrdef>Potassium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.08</rdommin>\n <rdommax>3.73</rdommax>\n <attrunit>Percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Mg</attrlabl>\n <attrdef>Magnesium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.27</rdommin>\n <rdommax>9.69</rdommax>\n <attrunit>Percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Mn</attrlabl>\n <attrdef>Manganese in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.005</rdommin>\n <rdommax>0.042</rdommax>\n <attrunit>Percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 P</attrlabl>\n <attrdef>Phosphorous in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.02</rdommin>\n <rdommax>0.31</rdommax>\n <attrunit>Percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.01 - less than 0.01 percent phosphorous found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Ti</attrlabl>\n <attrdef>Titanium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.04</rdommin>\n <rdommax>0.45</rdommax>\n <attrunit>Percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.01 - less than 0.01 percent titanium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Ag</attrlabl>\n <attrdef>Silver in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>2</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 ppm silver found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 As</attrlabl>\n <attrdef>Arsenic in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>40</rdommin>\n <rdommax>70</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><30 - less than 30 ppm arsenic found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Ba</attrlabl>\n <attrdef>Barium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>67.6</rdommin>\n <rdommax>3360</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Be</attrlabl>\n <attrdef>Beryllium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom><5 - less than 5 ppm beryllium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Bi</attrlabl>\n <attrdef>Bismuth in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>1.2</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.1 - less than 0.1 ppm bismuth found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Cd</attrlabl>\n <attrdef>Cadmium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.7</rdommin>\n <rdommax>22.9</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.2 - less than 0.2 ppm cadmium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Ce</attrlabl>\n <attrdef>Cerium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.8</rdommin>\n <rdommax>84.8</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Co</attrlabl>\n <attrdef>Cobalt in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.6</rdommin>\n <rdommax>24.4</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Cr</attrlabl>\n <attrdef>Chromium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10</rdommin>\n <rdommax>270</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><10 - less than 10 ppm chromium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Cs</attrlabl>\n <attrdef>Cesium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.7</rdommin>\n <rdommax>12.7</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.1 - less than 0.1 ppm cesium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Cu</attrlabl>\n <attrdef>Copper in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>13</rdommin>\n <rdommax>93</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><5 - less than 5 ppm copper found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Dy</attrlabl>\n <attrdef>Dysprosium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.09</rdommin>\n <rdommax>6.02</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Er</attrlabl>\n <attrdef>Erbium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.42</rdommin>\n <rdommax>3.82</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.05 - less than 0.05 ppm erbium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Eu</attrlabl>\n <attrdef>Europium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.22</rdommin>\n <rdommax>1.43</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.05 - less than 0.05 ppm europium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Ga</attrlabl>\n <attrdef>Gallium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>25</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 ppm gallium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Gd</attrlabl>\n <attrdef>Gadolinium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.07</rdommin>\n <rdommax>6.26</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Ge</attrlabl>\n <attrdef>Germanium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>3</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 ppm germanium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Hf</attrlabl>\n <attrdef>Hafnium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>5</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 ppm hafnium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Ho</attrlabl>\n <attrdef>Holmium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.13</rdommin>\n <rdommax>1.28</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.05 - less than 0.05 ppm holmium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 In</attrlabl>\n <attrdef>Indium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom><0.2 - less than 0.2 ppm indium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 La</attrlabl>\n <attrdef>Lanthanum in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.5</rdommin>\n <rdommax>43</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Li</attrlabl>\n <attrdef>Lithium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10</rdommin>\n <rdommax>80</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Lu</attrlabl>\n <attrdef>Lutetium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.07</rdommin>\n <rdommax>0.55</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.05 - less than 0.05 ppm lutetium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Mo</attrlabl>\n <attrdef>Molybdenum in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8</rdommin>\n <rdommax>417</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><2 - less than 2 ppm molybdenum found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Nb</attrlabl>\n <attrdef>Niobium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>28</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 ppm niobium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Nd</attrlabl>\n <attrdef>Neodymium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.4</rdommin>\n <rdommax>37.4</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Ni</attrlabl>\n <attrdef>Nickel in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>21</rdommin>\n <rdommax>526</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><5 - less than 5 ppm nickel found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Pb</attrlabl>\n <attrdef>Lead in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8</rdommin>\n <rdommax>54</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><5 - less than 5 ppm lead found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Pr</attrlabl>\n <attrdef>Praseodymium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>10.1</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Rb</attrlabl>\n <attrdef>Rubidium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.6</rdommin>\n <rdommax>196</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Sb</attrlabl>\n <attrdef>Antimony in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.9</rdommin>\n <rdommax>23.2</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.1 - less than 0.1 ppm antimony found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Sc</attrlabl>\n <attrdef>Scandium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6</rdommin>\n <rdommax>19</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><5 - less than 5 ppm scandium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Sm</attrlabl>\n <attrdef>Samarium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.8</rdommin>\n <rdommax>7</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.8 - less than 0.8 ppm samarium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Sn</attrlabl>\n <attrdef>Tin in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>4</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 ppm tin found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Sr</attrlabl>\n <attrdef>Strontium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>64.5</rdommin>\n <rdommax>1150</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Ta</attrlabl>\n <attrdef>Tantalum in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.5</rdommin>\n <rdommax>1.8</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.5 - less than 0.5 ppm tantalum found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Tb</attrlabl>\n <attrdef>Terbium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.12</rdommin>\n <rdommax>0.96</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.05 - less than 0.05 ppm terbium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Th</attrlabl>\n <attrdef>Thorium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.1</rdommin>\n <rdommax>13.1</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Tl</attrlabl>\n <attrdef>Thallium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.7</rdommin>\n <rdommax>16.1</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.5 - less than 0.5 ppm thallium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Tm</attrlabl>\n <attrdef>Thulium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.07</rdommin>\n <rdommax>0.55</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.05 - less than 0.05 ppm thulium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 U</attrlabl>\n <attrdef>Uranium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.32</rdommin>\n <rdommax>59.4</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 V</attrlabl>\n <attrdef>Vanadium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>84</rdommin>\n <rdommax>1270</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><5 - less than 5 ppm vanadium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 W</attrlabl>\n <attrdef>Tungsten in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>2</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 ppm tungsten found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Y</attrlabl>\n <attrdef>Yttrium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.7</rdommin>\n <rdommax>47.2</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Yb</attrlabl>\n <attrdef>Ytterbium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.4</rdommin>\n <rdommax>3.6</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.1 - less than 0.1 ppm ytterbium found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Zn</attrlabl>\n <attrdef>Zinc in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>36</rdommin>\n <rdommax>1140</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><5 - less than 5 ppm zinc found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICPAES_MS_55 Zr</attrlabl>\n <attrdef>Zirconium in sample found via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2.2</rdommin>\n <rdommax>172</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_Tot S S</attrlabl>\n <attrdef>Total sulfur in sample, in percent weight</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.42</rdommin>\n <rdommax>3.64</rdommax>\n <attrunit>Percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.05 - less than 0.05 ppm sulfur found in sample via inductively coupled plasma atomic emission spectroscopy (ICP-AES)</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>DR_Table_water_leaches</enttypl>\n <enttypd>Analysis of water leaches performed on shale samples</enttypd>\n <enttypds>Bern, Carleton R; Birdwell, Justin E; Jubb, Aaron M</enttypds>\n </enttyp>\n <attr>\n <attrlabl>ICP-MS Lab No.</attrlabl>\n <attrdef>Lab identification number from the Denver, Colorado research laboratories</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Lab identification number</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>IC Lab No.</attrlabl>\n <attrdef>Lab number from the Denver, Colorado research labs</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Lab identification number</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICP-MS Field No.</attrlabl>\n <attrdef>Field identification number of sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Field identifier</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>IC Field No.</attrlabl>\n <attrdef>Field number of sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Field identifier for sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample Description</attrlabl>\n <attrdef>Sample description for shale which was leached, including formation</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Sample description, including formation or standard</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICP-MS Job Number</attrlabl>\n <attrdef>Job number for leachate sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Job number</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>IC Job Number</attrlabl>\n <attrdef>Job number for leachate sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Job number</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pH</attrlabl>\n <attrdef>pH of brine sample</attrdef>\n <attrdefs>International Union of Pure and Applied Chemistry (IUPAC)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3.2</rdommin>\n <rdommax>8.7</rdommax>\n <attrunit>pH</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Ag</attrlabl>\n <attrdef>Silver in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom><1 - Indicates the amount of silver found in sample was less then 1 microgram per liter (ug/L)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Al</attrlabl>\n <attrdef>Aluminum in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10</rdommin>\n <rdommax>12900</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH As</attrlabl>\n <attrdef>Arsenic in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3</rdommin>\n <rdommax>129</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - Less than 1 microgram per liter of arsenic in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Ba</attrlabl>\n <attrdef>Barium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.3</rdommin>\n <rdommax>510</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.2 - Less than 0.2 micrograms per liter of barium found in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Be</attrlabl>\n <attrdef>Beryllium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>7.02</rdommin>\n <rdommax>12.7</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><5 - less than 5 micrograms per liter of beryllium found in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Bi</attrlabl>\n <attrdef>Bismuth in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom><0.5 - less than 0.5 micrograms per liter of bismuth found in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Ca</attrlabl>\n <attrdef>Calcium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>244</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Cd</attrlabl>\n <attrdef>Cadmium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.6</rdommin>\n <rdommax>129</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 microgram per liter of cadmium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Ce</attrlabl>\n <attrdef>Cerium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>328</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.01 - Less than 0.01 microgram per liter of cerium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Co</attrlabl>\n <attrdef>Cobalt in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>38</rdommin>\n <rdommax>115</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 microgram per liter of cobalt in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Cr</attrlabl>\n <attrdef>Chromium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.6</rdommin>\n <rdommax>11</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.5 - Less than 0.5 micrograms per liter of chromium in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Cs</attrlabl>\n <attrdef>Cesium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.35</rdommin>\n <rdommax>7.89</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.3 - less than 0.3 micrograms per liter of cesium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Cu</attrlabl>\n <attrdef>Copper in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>3250</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - Less than 1 microgram per liter of copper present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Dy</attrlabl>\n <attrdef>Dysprosium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.007</rdommin>\n <rdommax>35.5</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Er</attrlabl>\n <attrdef>Erbium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.02</rdommin>\n <rdommax>17.4</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Eu</attrlabl>\n <attrdef>Europium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>8.1</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Fe</attrlabl>\n <attrdef>Iron in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>112000</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.02 - Less than 0.02 micrograms per liter of iron present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Ga</attrlabl>\n <attrdef>Gallium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.1</rdommin>\n <rdommax>4.6</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 microgram per liter of gallium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Gd</attrlabl>\n <attrdef>Gadolinium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.006</rdommin>\n <rdommax>43.8</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Ge</attrlabl>\n <attrdef>Germanium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.08</rdommin>\n <rdommax>1.7</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.05 - Less than 0.05 micrograms per liter of germanium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Hf</attrlabl>\n <attrdef>Hafnium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom><1 - less than 1 microgram per liter of hafnium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Ho</attrlabl>\n <attrdef>Holmium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.005</rdommin>\n <rdommax>6.56</rdommax>\n <attrunit>Micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH K</attrlabl>\n <attrdef>Potassium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5.53</rdommin>\n <rdommax>9.8</rdommax>\n <attrunit>Miligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><5 - less than 5 miligrams per liter of potassium found in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH La</attrlabl>\n <attrdef>Lanthanum in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>166</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.01 - less than 0.01 micrograms per liter of lanthanum found in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Li</attrlabl>\n <attrdef>Lithium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>6</rdommin>\n <rdommax>420</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><5 - less than 5 micrograms per liter of lithium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Lu</attrlabl>\n <attrdef>Lutetium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.2</rdommin>\n <rdommax>1.9</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.1 - less than 0.1 micrograms per liter of lutetium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Mg</attrlabl>\n <attrdef>Magnesium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.14</rdommin>\n <rdommax>60.9</rdommax>\n <attrunit>Miligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Mn</attrlabl>\n <attrdef>Manganese in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>558</rdommin>\n <rdommax>68300</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><60 - less than 60 micrograms per liter of manganese present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Mo</attrlabl>\n <attrdef>Molybdenum in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3</rdommin>\n <rdommax>2740</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Na</attrlabl>\n <attrdef>Sodium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.4</rdommin>\n <rdommax>71.1</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Nb</attrlabl>\n <attrdef>Niobium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.3</rdommin>\n <rdommax>0.3</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.2 - less than 0.2 micrograms per liter of niobium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Nd</attrlabl>\n <attrdef>Neodymium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.02</rdommin>\n <rdommax>190</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Ni</attrlabl>\n <attrdef>Nickel in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>330</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.4 - less than 0.4 micrograms per liter of nickel present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH P</attrlabl>\n <attrdef>Phosphorus in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0,28</rdommin>\n <rdommax>11.6</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.2 - less than 0.2 micrograms per liter of phosphorous present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Pb</attrlabl>\n <attrdef>Lead in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.5</rdommin>\n <rdommax>16.3</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 micrograms per liter of lead present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Pr</attrlabl>\n <attrdef>Praseodymium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.03</rdommin>\n <rdommax>46.8</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.01 - less than 0.01 micrograms per liter of praseodymium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Rb</attrlabl>\n <attrdef>Rubidium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.6</rdommin>\n <rdommax>71.3</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 microgram per liter of rubidium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Sb</attrlabl>\n <attrdef>Antimony in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>nr - antimony values not recorded from sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Se</attrlabl>\n <attrdef>Selenium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>32</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 microgram per liter of selenium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH SiO2</attrlabl>\n <attrdef>Silicon dioxide in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4</rdommin>\n <rdommax>71.7</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Sm</attrlabl>\n <attrdef>Samarium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>41.2</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.01 - less than 0.01 microgram per liter of samarium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH SO4</attrlabl>\n <attrdef>Sulfate in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>1210</rdommax>\n <attrunit>Milligrams per liter (mg/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Sr</attrlabl>\n <attrdef>Strontium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.3</rdommin>\n <rdommax>1740</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Tb</attrlabl>\n <attrdef>Terbium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.005</rdommin>\n <rdommax>6.39</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.005 - less than 0.005 microgram per liter of terbium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Te</attrlabl>\n <attrdef>Tellurium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.34</rdommin>\n <rdommax>1.8</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.3 - less than 0.3 micrograms per liter of tellurium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Th</attrlabl>\n <attrdef>Thorium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10</rdommin>\n <rdommax>10</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><2 - less than 2 micrograms per liter of thorium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Ti</attrlabl>\n <attrdef>Titanium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.7</rdommin>\n <rdommax>22</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.6 - less than 0.6 micrograms per liter of titanium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Tl</attrlabl>\n <attrdef>Thallium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.1</rdommin>\n <rdommax>3.9</rdommax>\n <attrunit>Micrograms per liter</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><1 - less than 1 micrograms per liter of thallium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Tm</attrlabl>\n <attrdef>Thulium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.005</rdommin>\n <rdommax>2.2</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.005 - less than 0.005 micrograms per liter of thulium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH U</attrlabl>\n <attrdef>Uranium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>4.3</rdommin>\n <rdommax>67.1</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><2 - less than 2 micrograms per liter of uranium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH V</attrlabl>\n <attrdef>Vanadium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.8</rdommin>\n <rdommax>83.9</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.5 - less than 0.5 micrograms per liter of vanadium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Y</attrlabl>\n <attrdef>Yttrium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.56</rdommin>\n <rdommax>190</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.5 - less than 0.5 micrograms per liter of yttrium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Yb</attrlabl>\n <attrdef>Ytterbium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.02</rdommin>\n <rdommax>12.8</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Zn</attrlabl>\n <attrdef>Zinc in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>108</rdommin>\n <rdommax>27800</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPMS_LEACH Zr</attrlabl>\n <attrdef>Zirconium in sample found via inductively-coupled plasma mass-spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>0.4</rdommax>\n <attrunit>Micrograms per liter (ug/L)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.01 - less than 0.01 micrograms per liter of zirconium present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>IC-Aq Cl</attrlabl>\n <attrdef>Chlorine in sample found via aqueous ion chromatography (IC-Aq)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.86</rdommin>\n <rdommax>59.8</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.60 - less than 0.60 micrograms per liter of chlorine present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>IC-Aq F</attrlabl>\n <attrdef>Fluorine in sample found via aqueous ion chromatography (IC-Aq)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.18</rdommin>\n <rdommax>3.42</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>IC-Aq NO3</attrlabl>\n <attrdef>Nitrate in sample found via aqueous ion chromatography (IC-Aq)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.11</rdommin>\n <rdommax>6.21</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom><0.08 - less than 0.08 micrograms per liter of nitrate present in sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>IC-Aq SO4</attrlabl>\n <attrdef>Sulfate in sample found via aqueous ion chromatography (IC-Aq)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>7.15</rdommin>\n <rdommax>390</rdommax>\n <attrunit>Parts per million (ppm)</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n <techpreq>The file contains data available in comma separated value (.csv) file format. The user must have software capable of opening and viewing a .csv file.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20201211</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Eric A Morrissey</cntper>\n <cntorg>NORTHEAST REGION: EASTERN ENERGY RESOURCES SC</cntorg>\n </cntperp>\n <cntpos>Info Tech Spec (Internet)</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 956, 12201 Sunrise Valley Dr</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>703-648-6409</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2019-07-18Start Date2012End Date2015
## Citation
Woodruff, L.G., 2019, Geochemical characterization of solid media from three watersheds that transect the basal contact of the Duluth Complex, northeastern Minnesota: U.S. Geological Survey data release, https://doi.org/10.5066/P9VO251H.
## Summary
To document regional water quality in areas of potential base-metal mining, bedrock, soil, streambed sediment, and surface-water samples were collected and analyzed in three watersheds that cross the basal part of the Duluth Complex (northeastern Minnesota). The three watershed each had different mineral-deposit settings: (1) copper-nickel-platinum group element mineralization (Filson Creek), (2) iron-titanium-oxide mineralization (St. Louis River), and (3) no identified mineralization (Keeley Creek). At least 10 bedrock, 30 soil (two from 15 sites), and up to 13 streambed sediment samples were collected in each watershed and analyzed for 44 major and trace elements by a combined method using a combined inductively coupled plasma atomic \[...\]
## Summary
To document regional water quality in areas of potential base-metal mining, bedrock, soil, streambed sediment, and surface-water samples were collected and analyzed in three watersheds that cross the basal part of the Duluth Complex (northeastern Minnesota). The three watershed each had different mineral-deposit settings: (1) copper-nickel-platinum group element mineralization (Filson Creek), (2) iron-titanium-oxide mineralization (St. Louis River), and (3) no identified mineralization (Keeley Creek). At least 10 bedrock, 30 soil (two from 15 sites), and up to 13 streambed sediment samples were collected in each watershed and analyzed for 44 major and trace elements by a combined method using a combined inductively coupled plasma atomic emission spectrometry and mass spectrometry method (ICP-AE/MS), total and inorganic carbon, mercury and selenium by individual element methods, and 10 loosely bound metals (when possible). All analyzes were completed at the USGS contract lab using the sample analytical methods. Bedrock sample sites were chosen to provide comprehensive surficial bedrock chemistry within each watershed. Soil sample sites were selected by their proximity to bedrock sites, or to sample a range of glacial landscape features. Streambed sediment sample sites were selected in coordination with water quality sample sites and where surface mineralization was present.
## Contacts
Point of Contact
:
[Laurel G Woodruff](/catalog/catalogParty/show?partyId=11436)
Originator
:
[Laurel G Woodruff](/catalog/catalogParty/show?partyId=11436)
Metadata Contact
:
[Laurel G Woodruff](/catalog/catalogParty/show?partyId=11436)
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:
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| Geochemical\_characterization\_of\_solid\_media\_from\_three\_watersheds\_that\_transect\_the\_basal\_contact\_of\_the\_Duluth\_Complex\_northeastern\_Minnesota\_v2.xml<br>_Original FGDC Metadata_ | View | 130.92 KB | application/fgdc+xml |
| Streambed\_sediments.xlsx | | 28.94 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| Streambed\_sediments.csv | | 15.6 KB | text/csv |
| Soil.xlsx | | 52.52 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| Soil.csv | | 35.12 KB | text/csv |
| Bedrock.xlsx | | 26.45 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| Bedrock.csv | | 13.96 KB | text/csv |
| Analytical\_methods\_LLD.xlsx | | 11.36 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| Analytical\_methods\_LLD.csv | | 3.02 KB | text/csv |
| Figure1.jpg |  | 486.13 KB | image/jpeg |
## Purpose
The purpose of this study was to document the influence of bedrock on regional water quality in areas of potential base-metal mining. Data from this study provides a baseline of metal concentrations in solid media within an area of active mineral exploration.
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## Tags
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- [Duluth Complex](/catalog/items?q=&filter=tags%3DDuluth+Complex "Duluth Complex (Duluth Complex, Theme, none)")
- [Filson Creek](/catalog/items?q=&filter=tags%3DFilson+Creek "Filson Creek (Filson Creek, Theme, none)")
- [Keeley Creek](/catalog/items?q=&filter=tags%3DKeeley+Creek "Keeley Creek (Keeley Creek, Theme, none)")
- [South Filson deposit](/catalog/items?q=&filter=tags%3DSouth+Filson+deposit "South Filson deposit (South Filson deposit, Theme, none)")
- [South Kawishiwi intrusion](/catalog/items?q=&filter=tags%3DSouth+Kawishiwi+intrusion "South Kawishiwi intrusion (South Kawishiwi intrusion, Theme, none)")
- [Spruce Road deposit](/catalog/items?q=&filter=tags%3DSpruce+Road+deposit "Spruce Road deposit (Spruce Road deposit, Theme, none)")
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- [anorthosite](/catalog/items?q=&filter=tags%3Danorthosite "anorthosite (anorthosite, Theme, Lithologic classification of geologic map units)")
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Laurel Woodruff</origin>\n <pubdate>2019</pubdate>\n <title>Geochemical characterization of solid media from three watersheds that transect the basal contact of the Duluth Complex, northeastern Minnesota</title>\n <geoform>Tabular data</geoform>\n <pubinfo>\n <pubplace>Mounds View, MN</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9VO251H</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Sarah M. Elliott</origin>\n <origin>Laurel G., Woodruff</origin>\n <origin>Perry M. Jones</origin>\n <origin>Carrie E. Jennings</origin>\n <origin>Aliessa E. Krall</origin>\n <origin>Daniel Morel</origin>\n <pubdate>2019</pubdate>\n <title>Assessing the influence of natural copper-nickel bearing bedrocks of the Duluth Complex on water quality, 2012-2015</title>\n <geoform>U.S. Geological Survey Scientific Investigation Report</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>To document regional water quality in areas of potential base-metal mining, bedrock, soil, streambed sediment, and surface-water samples were collected and analyzed in three watersheds that cross the basal part of the Duluth Complex (northeastern Minnesota). The three watershed each had different mineral-deposit settings: (1) copper-nickel-platinum group element mineralization (Filson Creek), (2) iron-titanium-oxide mineralization (St. Louis River), and (3) no identified mineralization (Keeley Creek). At least 10 bedrock, 30 soil (two from 15 sites), and up to 13 streambed sediment samples were collected in each watershed and analyzed for 44 major and trace elements by a combined method using a combined inductively coupled plasma atomic emission spectrometry and mass spectrometry method (ICP-AE/MS), total and inorganic carbon, mercury and selenium by individual element methods, and 10 loosely bound metals (when possible). All analyzes were completed at the USGS contract lab using the sample analytical methods. Bedrock sample sites were chosen to provide comprehensive surficial bedrock chemistry within each watershed. Soil sample sites were selected by their proximity to bedrock sites, or to sample a range of glacial landscape features. Streambed sediment sample sites were selected in coordination with water quality sample sites and where surface mineralization was present.</abstract>\n <purpose>The purpose of this study was to document the influence of bedrock on regional water quality in areas of potential base-metal mining. Data from this study provides a baseline of metal concentrations in solid media within an area of active mineral exploration.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2012</begdate>\n <enddate>2015</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-92.188799999996</westbc>\n <eastbc>-91.636600000001</eastbc>\n <northbc>47.83965</northbc>\n <southbc>47.38366</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>environmental chemistry</themekey>\n <themekey>soil chemistry</themekey>\n <themekey>atomic absorption analysis</themekey>\n <themekey>mineral deposits</themekey>\n <themekey>atomic emission spectroscopy</themekey>\n <themekey>mass spectroscopy</themekey>\n <themekey>copper</themekey>\n <themekey>nickel</themekey>\n </theme>\n <theme>\n <themekt>Lithologic classification of geologic map units</themekt>\n <themekey>anorthosite</themekey>\n <themekey>gabbro</themekey>\n <themekey>troctolite</themekey>\n <themekey>graywacke</themekey>\n </theme>\n <theme>\n <themekt>none</themekt>\n <themekey>Duluth Complex</themekey>\n <themekey>copper-nickel-PGE deposit</themekey>\n <themekey>oxide ultramafic intrusion</themekey>\n <themekey>South Kawishiwi intrusion</themekey>\n <themekey>Spruce Road deposit</themekey>\n <themekey>South Filson deposit</themekey>\n <themekey>Filson Creek</themekey>\n <themekey>Keeley Creek</themekey>\n <themekey>St. Louis River</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d2f40f3e4b038fabe24db02</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System</placekt>\n <placekey>Minnesota</placekey>\n <placekey>Cook County</placekey>\n <placekey>Lake County</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Laurel Woodruff</cntper>\n <cntorg>USGS Midwest Region</cntorg>\n </cntperp>\n <cntpos>Research Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2280 Woodale Drive</address>\n <city>Mounds View</city>\n <state>MN</state>\n <postal>55112</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>763-783-3291</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Minnesota Environment and Natural Resources Trust fund</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>For these analyses, the quality assurance (QA) focus was mainly in the domain of the analytical contract laboratory used by the USGS, SGS. Under the QA umbrella, the components of standard operating procedures, instrument logs, training records, data acceptance/rejection criteria and laboratory audits are included. Unlike the unquantifiable QA element, the quality control (QC) element measures the accuracy and precision of the data produced by an analytical method. The accuracy and precision are established through the analysis of reference materials and sample replicates, respectively. Samples taken through the analytical process for inorganic constituents received QC checks on three separate levels. The first level of quality assurance involved QC assessment by the USGS contract laboratory, SGS. In the next level, QC is assessed by the USGS Mineral Resource Team QC officer, followed by a third-level assessment by the USGS principal investigator. The USGS contract laboratory SGS is accredited to the International Organization for Standardization Information Centre (ISO) 9002, 1994 standard (ANSI-RAB 01298 and NACB 9555), which includes both QA and QC protocols. The laboratory\'s QC protocol is to insert a reagent blank and a reference sample material with every batch of 20 samples to measure the analytical accuracy. All samples submitted to SGS are accompanied by a set of USGS in-house reference samples submitted at the rate of 10 percent. Using a program within the USGS Laboratory Information Management System, data for the reference samples are evaluated by comparing the "obtained" analytical value to the "expected" value for each element. The values must fall within the range of acceptance, which varies between \xc2\xb1 5 percent to \xc2\xb1 20 percent depending on the analytical method. The accuracy of elements determined by the ICP-MS/AES method are considered acceptable if recovery for all 42 elements is \xc2\xb115 percent at five times the Lower Limit of Determination (LLD) and the calculated Relative Standard Deviation (RSD) of duplicate samples no greater than 15 percent. The accuracy for As, Hg, and Se single element analyses are considered acceptable if recovery is \xc2\xb1 20 percent at five times the LLD and the calculated percent RSD of duplicate samples no greater than 20 percent. Total and carbonate carbon are deemed acceptable if recovery is \xc2\xb115 percent at five times the LLD and the calculated percent RSD of duplicate samples no greater than 15 percent. Blind duplicates were included by the principal investigator with all analytical jobs at a rate of 10 percent. QA/QC determinations at all levels identified no serious quality problems with the dataset.</attraccr>\n </attracc>\n <logic>Analyses were done on differing sample types (bedrock, soil, streambed sediment) collected over a 3 year span, but analyses were all performed by the same analytical methods at the same laboratory. Replicate sample analyses (inserted at a general rate of 10%) are listed in the tabular files as \'duplicates\'. Comparison of duplicate analyses were consistently within +/- 20%.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract and here. Users are advised to read the rest of the metadata record carefully for additional details. Not all samples were analyzed for all elements included in these tabular data. Only streambed sediments sieved to <2 mm were analyzed for 10 loosely bound metals. Streambed sediments sieved to <63 microns were not analyzed for the 10 metals, Total Carbon, or Carbonate Carbon because of small sample size. Soil O horizon samples also were not analyzed for Total Carbon or Carbonate Carbon. Mineral soils (soil A and soil C horizons) were not ashed prior to analysis, thus \'weight percent ash\' is not reported.</complete>\n <posacc>\n <horizpa>\n <horizpar>Samples sites where located with a handheld GPS unit. Latitude and longitude data are given in decimal degrees (WGS84 datis) and have an assumed accuracy to three decimal points.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Tabular data were compiled from spreadsheets provided by the U.S. Geological Survey Geochemistry Team, who handles data received from the contract laboratory.</procdesc>\n <procdate>2018</procdate>\n </procstep>\n <procstep>\n <procdesc>BEDROCK: Bedrock outcrop in the Filson Creek and Keeley Creek watersheds is abundant, and collected samples are representative of the varied exposed bedrock types and mineralization styles. Some sample sites were selected to be proximate to soil and water-quality sample sites where outcrop was present. In the Filson watershed, samples include: (1) anorthosite and augite troctolite of the South Kawishiwi intrusion; (2) gabbroic and troctolitic anorthosite of the Anorthosite Series, (3) metamorphosed basalt of the North Shore Volcanics, (4) sulfide-bearing mineralized gabbro and melatroctolite from the large outline of the Spruce Road deposit, (5) sulfide-bearing altered troctolite near the South Filson deposit, and (6) granodiorite from the Archean-age Giants Range Batholith. Multiple samples of mineralized rock from the Spruce Road deposit were collected to document the heterogeneous nature of the mineralization. Bedrock in the Keeley Creek watershed is generally a monotonous sea of anorthosite troctolite of the South Kiwishiwi intrusion. In addition to nine samples of troctolite, a sample of melatroctolite, which was not sulfide-bearing, that crops out in the valley of Keeley Creek was provided by Dean Peterson, then of Duluth Metals. Outcrop in the St. Louis watershed is sparse. Shale and argillite of unmetamorphosed Virginia Formation were collected along the river bed south of Whitewater Lake. Splits of troctolite from the Partridge River intrusion that crop out along the banks of the St. Louis River, originally collected by Mark Serverson (formerly of the Natural Resources Research Institute \xe2\x80\x93 NRRI) during reconnaissance field work, were taken from archived samples at the NRRI. Additional samples of troctolite and anorthosite were collected during the soil sampling effort. Bedrock samples from the hornfelsed contact area exposed in the Water Hen Creek area were also submitted for analysis. All bedrock samples were processed into small chips in the field and samples with obvious surficial alteration discarded. Fresh bedrock chips were collected into cloth sample bags.</procdesc>\n <procdate>2014</procdate>\n </procstep>\n <procstep>\n <procdesc>SOIL: Soil was collected from multiple sites within the three watersheds. In the Filson and Keeley watersheds glacial materials are very thin, and topography is controlled by underlying bedrock. The landscape consists of bedrock highlands surrounded by wetlands. Soil was collected only on dry, typically upland sites, often in proximity to bedrock outcrops. Sample sites in the Filson Creek watershed were selected to cross the wide variety of bedrock types. Access to the interior of the watershed is somewhat problematic; soil sampling sites were mainly along two broad transects that cut across the general trend of the major bedrock types, including Archean granodiorite and differing rock types of the Duluth Complex. Soil was also collected from sites along a short east-west transect within the mapped footprint of the Spruce Road deposit. In the Keeley Creek watershed access is even more problematic; however, the very homogeneous nature of the bedrock made site selection relatively straightforward. Fifteen soil sites were selected proximate to the 4 water quality sites and along the limited access ways. In contrast to the other two watersheds, the St. Louis River watershed has thick glacial cover. The 15 soil sites were selected based on the diverse glacial features visible in the publicly available 1-m LiDAR hillshade coverage and the newly completed glacial map for the region (fig. 4). Glacial and modern landscape features that were soil sample sites include: (1) esker, (2) draped drumlin, (3) ground till, (4) terminal moraine, (5) ice-walled lake, (6) tunnel valley, and (7) alluvial plain. All soil samples were collected using hand tools. The target samples from each site were: (1) the soil O horizon, consisting of the decomposing organic material at the surface but not including leaf litter or living plants; (2) the soil A horizon, defined as an organic mineral soil; and (3) a deeper sample representing the B or C horizon, assumed to best approximate the soil parent material. Mineral soil was collected into plastic bags and organic soil was collected into cloth bags. Information about location, tree canopy type, sampling depths, and miscellaneous notes was recorded on paper field sheets. The soil O horizon proved to be elusive as aggressive behavior by invasive earthworms has modified the organic material at many sites. Worm activity typically incorporates surficial humic materials into the mineral soil. As a result, where a soil O horizon is missing, it is assumed to have been consumed by worms, and the soil A horizon typically is always much thicker than found at unwormed sites as burrowing worms process and mix organic material into the upper mineral soil. Soil O horizon samples were collected at about 30 percent of all sites.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n <procstep>\n <procdesc>STREAMBED SEDIMENTS: Streambed sediment represents a time-integrated composite of the solid material transported and deposited within a stream. The concentration of trace elements in streambed sediment generally increases as the size fraction decreases. Two different streambed sediment size fractions (<2 millimeters (mm) and <63 microns (\xc2\xb5m)) were collected for this study. Streambed sediments were hand-collected at the water-quality sites during low flow to maximize access to depositional areas. Three additional streambed sediment samples were collected from Filson Creek and a small tributary within the mapped footprint of the Spruce Road deposit. For the clastic <2 mm size fraction, samples were taken from depositional areas within an approximately 50-meter reach using a stainless-steel scoop, and wet-sieved in the field with native water to <2 mm using a stainless-steel sieve. Within each sampling area, about 500 grams of sieved material were composited and placed into acid-rinsed polyethylene bottles. Samples were air-dried prior to submittal for analysis. Fine-grained streambed sediment collection was attempted at all water-quality sites. Thirteen streambed sediment samples were collected using the flexible 63 \xc2\xb5m nylon-cloth sieve. For this method, streambed sediment collected with a stainless-steel scoop was placed onto a 63 \xc2\xb5m nylon-cloth sieve, which was then rinsed in a glass beaker containing native water, with the intent of washing the <63 \xc2\xb5m material into the beaker. Typical sample collection time at each site was about 1 hour, with multiple composites of material collected along about a 50-meter reach. At the end of the sampling period, all native water and suspended material in the receiving container was transferred into an acid-rinsed polyethylene bottle. After sitting for more than 2 weeks, the bottles were decanted, and the solid material allowed to air dry. In all cases, collected streambed sediment quantities were small, and in several cases, were insufficient material for analysis. All samples with a dry weight of more than 2 grams were submitted for analysis.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n <procstep>\n <procdesc>ANALYTICAL METHODS: All samples were submitted to the USGS geochemistry contract laboratory, SGS, for analysis. Concentrations of aluminum (Al), calcium (Ca), iron (Fe), potassium (K), magnesium (Mg), sodium (Na), sulfur (S), titanium (Ti), silver (Ag), barium (Ba), beryllium(Be), bismuth (Bi), cadmium (Cd), cerium (Ce), cobalt (Co), chromium (Cr), cesium (Cs), copper (Cu), gallium (Ga), indium (In), lanthanum (La), lithium (Li), manganese (Mn), molybdenum (Mo), niobium (Nb), nickel (Ni), phosphorus (P), lead (Pb), rubidium (Rb), antimony (Sb), scandium (Sc), tin (Sn), strontium (Sr), tellurium (Te), thorium (Th), thallium (Tl), uranium (U), vanadium (V), tungsten (W), yttrium (Y), and zinc (Zn) were determined by inductively coupled plasma\xe2\x80\x93atomic emission spectrometry (ICP-AES) and by inductively coupled plasma\xe2\x80\x93mass spectrometry (ICP-MS). For this combined analytical method, all samples were decomposed using a near-total four-acid (hydrochloric, nitric, hydrofluoric, and perchloric) digestion at a temperature between 125 and 150\xc2\xb0C. Because of the small quantity of <63 \xc2\xb5m stream bed sediment, no additional analyses were possible. For all other samples additional analyses were completed. Mercury (Hg) was determined by cold-vapor atomic absorption spectrometry after dissolution in a mixture of nitric and hydrochloric acids. For a more precise analysis of As, each sample was fused in a mixture of sodium peroxide and sodium hydroxide at 750\xc2\xb0C. The fused mixture was then dissolved in hydrochloric acid and analyzed by hydride-generation atomic absorption spectrometry. Selenium (Se) was determined by hydride generation atomic absorption spectrometry after dissolution in a mixture of nitric, hydrofluoric, and perchloric acids. Soil was also analyzed for total carbon (C) and carbonate C. Total C was determined using an automated carbon analyzer. By this method, each sample was combusted in an oxygen atmosphere at 1,370 \xc2\xbaC to oxidize C to carbon dioxide (CO2). The CO2 gas was measured by a solid-state infrared detector. Carbonate carbon was determined as carbon dioxide by coulometric titration. The sample was treated with hot 2N perchloric acid and the evolved CO2 passed into a cell containing a solution of monoethanolamine. The CO2, quantitatively absorbed by the monoethanolamine, was coulometrically titrated using platinum and silver/potassium-iodide electrodes. The concentration of organic C is calculated by subtracting the amount of inorganic (carbonate) C from the total C concentration. Samples of the soil O horizon were air-dried, sieved to <2 mm, and sent to the USGS Denver Geochemistry Group, where they were milled and split, with one portion set aside and the remainder of the sample ashed at 500\xc2\xb0C for 13 hours at the USGS analytical laboratory. Both the unashed and ashed materials were sent to SGS. The unashed split was analyzed for As, Hg, and Se, and the ashed portion was analyzed by the 42-element ICP-MS/AES method. In addition to the near-total 4-acid digestion technique, the <2 mm streambed sediments collected in 2012 were analyzed using a partial extraction method. For this method, a hydrochloric acid-hydrogen peroxide solution solubilizes metals not tightly bound in a mineral silicate lattice. Ten metals are extracted by a 10 percent Aliquot 336-disobutylketone (DIBK) solution as organic halides. The separated organic phase is pneumatically aspirated into a multichannel ICP instrument where the concentrations of the extracted metals, in this case Ag, As, Bi, Cd, Cu, gold (Au), Mo, Pb, Sb, and Zn, are determined simultaneously. It is important to note that this procedure is a partial digestion and, depending on an element\xe2\x80\x99s availability, results may be biased low when compared to other methods of analyses</procdesc>\n <procdate>2015</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>GPS locations for each individual sample site determined using handheld unit.</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.001</latres>\n <longres>0.001</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Bedrock</enttypl>\n <enttypd>Major and trace element geochemical data for bedrock samples</enttypd>\n <enttypds>Laurel Woodruff</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Lab No.</attrlabl>\n <attrdef>laboratory identification number</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Identification number assigned by the USGS Geochemistry Team to assist in sample/data cataloging</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Field No.</attrlabl>\n <attrdef>Label assigned to the bedrock sample as it was collected in the field</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>The field number assigned to each bedrock sample collected in the field. FR indicates bedrock from the Filson Creek watershed; KR indicates bedrock from the Keeley Creek watershed; VFR indicates Virginia Formation bedrock from the St. Louis River watershed: SLR indicates additional bedrock from the St. Louis River watershed</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Latitude</attrlabl>\n <attrdef>Latitude in decimal degrees of bedrock sample site</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Latitude in decimal degrees of bedrock sample site as determined by a handheld GPS unit</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Longitude</attrlabl>\n <attrdef>Longitude of bedrock sample site in decimal degrees</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Longitude in decimal degrees of bedrock sample site as determined by a handheld GPS unit</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>County</attrlabl>\n <attrdef>County in Minnesota where bedrock sample was collected</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Minnesota county where bedrock sample was collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Watershed</attrlabl>\n <attrdef>Study watershed where bedrock sample was collected</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Study watershed where bedrock sample was collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Rock Type</attrlabl>\n <attrdef>Lithologic description of bedrock sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Lithologic name assigned to bedrock sample. Lithologic names derived from Miller, J.D., Jr., Green, J.C., Severson, M.J., Chandler, V.W., and Peterson, D.M., 2001, Geologic map of the Duluth Complex and related rocks, northeastern Minnesota: Minnesota Geological Survey Miscellaneous Map M-119, scale 1:200,000.</udom>\n </attrdomv>\n <attrdomv>\n <udom>\'mineralized\' means that sulfide minerals were visible to the naked eye; metamorphosed means that the original rock was modified by the heat of intrusion</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Al wt.%</attrlabl>\n <attrdef>Aluminum in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>14.70</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ca wt.%</attrlabl>\n <attrdef>Calcium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>8.44</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Fe wt.%</attrlabl>\n <attrdef>Iron in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>15.80</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS K wt.%</attrlabl>\n <attrdef>Potassium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>3.27</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Mg wt.%</attrlabl>\n <attrdef>Magnesium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>12.7</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Na wt.%</attrlabl>\n <attrdef>Sodium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>4.2</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS S wt.%</attrlabl>\n <attrdef>Sulfur in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>1.69</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ti wt.%</attrlabl>\n <attrdef>Titanium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>1.23</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ag ppm</attrlabl>\n <attrdef>Silver in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>3.0</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>As_Hyd As ppm</attrlabl>\n <attrdef>Arsenic in parts per million measured by hydride generation atomic absorption spectrometry after fusing in a mixture of sodium peroxide and sodium hydroxide and dissolved in a combination of HNO3, HCl, and HClO4</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.6 (lower limit of determination)</rdommin>\n <rdommax>6.9</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ba ppm</attrlabl>\n <attrdef>Barium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 5 (lower limit of determination)</rdommin>\n <rdommax>2050</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Be ppm</attrlabl>\n <attrdef>Beryllium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>2.2</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Bi ppm</attrlabl>\n <attrdef>Bismuth in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.04 (lower limit of determination)</rdommin>\n <rdommax>0.86</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Cd ppm</attrlabl>\n <attrdef>Cadmium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>1.0</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ce ppm</attrlabl>\n <attrdef>Cerium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>87.1</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Co ppm</attrlabl>\n <attrdef>Cobalt in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>156.0</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Cr ppm</attrlabl>\n <attrdef>Chromium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>914</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Cs ppm</attrlabl>\n <attrdef>Cesium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 5 (lower limit of determination)</rdommin>\n <rdommax>15</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Cu ppm</attrlabl>\n <attrdef>Copper in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>7722</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ga ppm</attrlabl>\n <attrdef>Gallium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>26.0</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CV_AA Hg ppm</attrlabl>\n <attrdef>Mercury in parts per million measured using digestion in a mixture of nitric and hydrochloric acid followed by cold -vapor atomic absorption spectrometry</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.01 (lower limit of determination)</rdommin>\n <rdommax>0.05</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS In ppm</attrlabl>\n <attrdef>Indium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.02 (lower limit of determination)</rdommin>\n <rdommax>0.08</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS La ppm</attrlabl>\n <attrdef>Lanthanum in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>42.8</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Li ppm</attrlabl>\n <attrdef>Lithium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>171</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Mn ppm</attrlabl>\n <attrdef>Manganese in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 5 (lower limit of determination)</rdommin>\n <rdommax>1789</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Mo ppm</attrlabl>\n <attrdef>Molybdenum in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>3.9</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Nb ppm</attrlabl>\n <attrdef>Niobium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>15.7</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ni ppm</attrlabl>\n <attrdef>Nickel in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>1967</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS P ppm</attrlabl>\n <attrdef>Phosphorus in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 50 (lower limit of determination)</rdommin>\n <rdommax>1640</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Pb ppm</attrlabl>\n <attrdef>Lead in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>19.3</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Rb ppm</attrlabl>\n <attrdef>Rubidium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.2 (lower limit of determination)</rdommin>\n <rdommax>184</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Sb ppm</attrlabl>\n <attrdef>Antimony in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>0.89</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Sc ppm</attrlabl>\n <attrdef>Scandium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>28.4</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Se_Hyd Se ppm</attrlabl>\n <attrdef>Selenium in parts per million measured by hydride generation atomic absorption spectrometry after fusing in a mixture of sodium peroxide and sodium hydroxide and dissolved in a combination of HNO3, HCl, and HClO4</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.2 (lower limit of determination)</rdommin>\n <rdommax>3.3</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Sn ppm</attrlabl>\n <attrdef>Tin in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>2.5</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Sr ppm</attrlabl>\n <attrdef>Strontium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>1130</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Te ppm</attrlabl>\n <attrdef>Tellurium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>0.3</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Th ppm</attrlabl>\n <attrdef>Thorium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.2 (lower limit of determination)</rdommin>\n <rdommax>11.4</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Tl ppm</attrlabl>\n <attrdef>Thallium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>1.1</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS U pppm</attrlabl>\n <attrdef>Uranium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>5.3</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS V ppm</attrlabl>\n <attrdef>Vanadium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>184</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS W ppm</attrlabl>\n <attrdef>Tungsten in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>2.1</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Y ppm</attrlabl>\n <attrdef>Yttrium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>19.8</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Zn ppm</attrlabl>\n <attrdef>Zinc in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>145</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Coulometric Crbnt C wt.%</attrlabl>\n <attrdef>Carbonate carbon in weight percent determined as carbon dioxide by coulometric titration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.04 (lower limit of determination)</rdommin>\n <rdommax>0.03</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample was not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Soil</enttypl>\n <enttypd>Major and trace element concentrations for soil samples</enttypd>\n <enttypds>Laurel Woodruff</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Lab No.</attrlabl>\n <attrdef>laboratory identification number</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Identification number assigned by the USGS Geochemistry Team to assist in sample/data cataloging</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Field No.</attrlabl>\n <attrdef>identifying number given to soil sample in the field</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Field number indicates watershed (SL is St. Louis River watershed; F is Filson Creek watershed; and K is Keeley Creek watershed) and soil horizon designation (letter O, A, or C).</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Latitude</attrlabl>\n <attrdef>Latitude in decimal degrees for soil sample site</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Latitude for soil sample site in decimal degree determined by handheld GPS unit</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Longitude</attrlabl>\n <attrdef>Longitude in decimal degrees for soil sample site</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Longitude for soil sample site in decimal degree determined by handheld GPS unit</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>County</attrlabl>\n <attrdef>county in Minnesota where soil sample was collected</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>name of Minnesota county where soil sample was collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Watershed</attrlabl>\n <attrdef>Study watershed where soil sample was collected</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>name of study watershed where soil sample was collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Date</attrlabl>\n <attrdef>date in month/day/year when soil sample was collected</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>date when soil sample was collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Soil horizon</attrlabl>\n <attrdef>Letter designating soil horizon as identified in the field</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>soil A horizon is the topmost mineral soil, often organic-rich</udom>\n </attrdomv>\n <attrdomv>\n <udom>soil C horizon is a deeper mineral soil, assumed to be the most representative of the soil parent material</udom>\n </attrdomv>\n <attrdomv>\n <udom>soil O horizon is the decaying organic material lying atop a mineral soil; does not include roots or fresh leaf litter</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Depth_cm</attrlabl>\n <attrdef>bottom depth in centimeters of soil sample collected in the field</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2.5 (surface at 0)</rdommin>\n <rdommax>254</rdommax>\n <attrunit>centimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Particle size</attrlabl>\n <attrdef>size of soil particles that were submitted for analyses</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>< 2 mm</edomv>\n <edomvd>particle size of soil sample submitted for analyzed that passed through a No. 10 (2 mm) stainless steel sieve</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Proximal bedrock/parent glacial materials</attrlabl>\n <attrdef>description of underlying geologic material that may have contributed to soil sample parent material</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>soil parent materials may be weathered bedrock in areas of thin glacial cover (Filson and Keeley Creek watersheds) or material transported and deposited by glacial action (St. Louis River watershed)</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Percent Ash</attrlabl>\n <attrdef>Percent of ash in weight percent produced by heating of O horizon samples to 500 degrees for 13 hours - the ash is the inorganic material that did not go up the flue</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>64.8</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample was not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Al wt.%</attrlabl>\n <attrdef>Aluminum in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>11.1</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ca wt.%</attrlabl>\n <attrdef>Calcium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>7.52</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Fe wt.%</attrlabl>\n <attrdef>Iron in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>8.53</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS K wt.%</attrlabl>\n <attrdef>Potassium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>2.11</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Mg wt.%</attrlabl>\n <attrdef>Magnesium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>4.51</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Na wt.%</attrlabl>\n <attrdef>Sodium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>3.61</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS S wt.%</attrlabl>\n <attrdef>Sulfur in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>0.86</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ti wt.%</attrlabl>\n <attrdef>Titanium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>1.54</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ag ppm</attrlabl>\n <attrdef>Silver in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax><1 (lower limit of determination)</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>As_Hyd As ppm</attrlabl>\n <attrdef>Arsenic in parts per million measured by hydride generation atomic absorption spectrometry after fusing in a mixture of sodium peroxide and sodium hydroxide and dissolved in a combination of HNO3, HCl, and HClO4</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.06 (lower limit of determination)</rdommin>\n <rdommax>12</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ba ppm</attrlabl>\n <attrdef>Barium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 5 (lower limit of determination)</rdommin>\n <rdommax>1330</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Be ppm</attrlabl>\n <attrdef>Beryllium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>1.8</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Bi ppm</attrlabl>\n <attrdef>Bismuth in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.04 (lower limit of determination)</rdommin>\n <rdommax>0.86</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Cd ppm</attrlabl>\n <attrdef>Cadmium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>3</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ce ppm</attrlabl>\n <attrdef>Cerium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>73.4</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Co ppm</attrlabl>\n <attrdef>Cobalt in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>66.4</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Cr ppm</attrlabl>\n <attrdef>Chromium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>607</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Cs ppm</attrlabl>\n <attrdef>Cesium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 5 (lower limit of determination)</rdommin>\n <rdommax>8</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Cu ppm</attrlabl>\n <attrdef>Copper in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>1084</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ga ppm</attrlabl>\n <attrdef>Gallium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>20.5</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CV_AA Hg ppm</attrlabl>\n <attrdef>Mercury in parts per million measured using digestion in a mixture of nitric and hydrochloric acid followed by cold -vapor atomic absorption spectrometry</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.01 (lower limit of determination)</rdommin>\n <rdommax>0.27</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS In ppm</attrlabl>\n <attrdef>Indium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.02 (lower limit of determination)</rdommin>\n <rdommax>0.08</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS La ppm</attrlabl>\n <attrdef>Lanthanum in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>36.9</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Li ppm</attrlabl>\n <attrdef>Lithium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>28</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Mn ppm</attrlabl>\n <attrdef>Manganese in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 5 (lower limit of determination)</rdommin>\n <rdommax>6410</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Mo ppm</attrlabl>\n <attrdef>Molybdenum in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>2.8</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPES_MS Nb ppm</attrlabl>\n <attrdef>Niobium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>11.5</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ni ppm</attrlabl>\n <attrdef>Nickel in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>535</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS P ppm</attrlabl>\n <attrdef>Phosphorus in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 50 (lower limit of determination)</rdommin>\n <rdommax>7700</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Pb ppm</attrlabl>\n <attrdef>Lead in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>153</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Rb ppm</attrlabl>\n <attrdef>Rubidium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.2 (lower limit of determination)</rdommin>\n <rdommax>92.8</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Sb ppm</attrlabl>\n <attrdef>Antimony in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>2.67</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Sc ppm</attrlabl>\n <attrdef>Scandium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>13.9</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Se_Hyd Se ppm</attrlabl>\n <attrdef>Selenium in parts per million measured by hydride generation atomic absorption spectrometry after fusing in a mixture of sodium peroxide and sodium hydroxide and dissolved in a combination of HNO3, HCl, and HClO4</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.2 (lower limit of determination)</rdommin>\n <rdommax>1.1</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Sn ppm</attrlabl>\n <attrdef>Tin in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>4.7</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Sr ppm</attrlabl>\n <attrdef>Strontium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>690</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Te ppm</attrlabl>\n <attrdef>Tellurium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>0.1</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Th ppm</attrlabl>\n <attrdef>Thorium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.2 (lower limit of determination)</rdommin>\n <rdommax>6.1</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Tl ppm</attrlabl>\n <attrdef>Thallium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>0.8</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS U ppm</attrlabl>\n <attrdef>Uranium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>1.7</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS V ppm</attrlabl>\n <attrdef>Vanadium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>187</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS W ppm</attrlabl>\n <attrdef>Tungsten in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>1.6</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Y ppm</attrlabl>\n <attrdef>Yttrium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>15.7</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Zn ppm</attrlabl>\n <attrdef>Zinc in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>481</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total C wt.%</attrlabl>\n <attrdef>Total carbon determined by combustion in an oxygen atmosphere at 1370 degrees centigrade to oxidize carbon to CO2, which is then measured by a solid state infrared detector</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>45.1</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample was not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Coulometric Crbnt C wt.%</attrlabl>\n <attrdef>Carbonate carbon in weight percent determined as carbon dioxide by coulometric titration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.04 (lower limit of determination)</rdommin>\n <rdommax>0.03</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample was not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Calculated Org C wt.%</attrlabl>\n <attrdef>Weight percent organic carbon determined by subtracting inorganic carbonate carbon from total carbon</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.04 (lower limit of determination for carbonate carbon)</rdommin>\n <rdommax>45.09</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.c. means \'not calculated\'</edomv>\n <edomvd>a value was not calculated for this sample as it was not analyzed for both Total carbon and Carbonate carbon</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Streambed_sediments</enttypl>\n <enttypd>Major and trace element concentrations for streambed sediments collected from the three study watersheds</enttypd>\n <enttypds>Laurel Woodruff</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Lab No.</attrlabl>\n <attrdef>laboratory identification number</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Identification number assigned by the USGS Geochemistry Team to assist in sample/data cataloging</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Field No.</attrlabl>\n <attrdef>field identification label for streambed sediment sample</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>field label for streambed sediment sample - \'fine\' indicates smaller grain size collected from same site by using a finer sieve</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Latitude</attrlabl>\n <attrdef>Latitude in decimal degree of streambed sediment collection site</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Latitude in decimal degree of streambed sediment collection site determined by handheld GPS unit</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Longitude</attrlabl>\n <attrdef>Longitude in decimal degree of streambed sediment collection site</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Longitude in decimal degree of streambed sediment collection site determined by handheld GPS unit</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>County</attrlabl>\n <attrdef>county in Minnesota where streambed sediment was collected</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>county in Minnesota where streambed sediment sample was collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Watershed</attrlabl>\n <attrdef>study watershed where streambed sediment was collected</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>study watershed where streambed sediment sample was collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Water_Quality_site</attrlabl>\n <attrdef>water quality sample site field number</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>paired water quality sample site closest to where streambed sediment sample was collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Date collected</attrlabl>\n <attrdef>date in month/day/year when streambed sediment was collected</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>date when streambed sediment sample was collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Particle size</attrlabl>\n <attrdef>particle size of streambed sediment sample submitted for analysis</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>two different sized streambed sediment samples were collected; one set passed through a No. 10 (2 mm) stainless steel sieve, a second set (labeled \'fine") passed through a 63 micron nylon filter</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICP10 Ag ppm</attrlabl>\n <attrdef>Silver determined by a partial digestion method that used a 10 percent Aliquat(R) 336-diisobutyl ketone (DIBK) solution to extract metals as organic halides, which were pneumatically aspirated into an inductively coupled plasma-mass spectrometer (ICP-MS) for simultaneous determination for 10 metals</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.08 (lower limit of determination)</rdommin>\n <rdommax>0.71</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample was not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICP10 As ppm</attrlabl>\n <attrdef>Arsenic determined by a partial digestion method that used a 10 percent Aliquat(R) 336-diisobutyl ketone (DIBK) solution to extract metals as organic halides, which were pneumatically aspirated into an inductively coupled plasma-mass spectrometer (ICP-MS) for simultaneous determination for 10 metals</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>11.0</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means not analyzed</edomv>\n <edomvd>samples was not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICP10 Au ppm</attrlabl>\n <attrdef>Gold determined by a partial digestion method that used a 10 percent Aliquat(R) 336-diisobutyl ketone (DIBK) solution to extract metals as organic halides, which were pneumatically aspirated into an inductively coupled plasma-mass spectrometer (ICP-MS) for simultaneous determination for 10 metals</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>0.1</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample was not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICP10 Bi ppm</attrlabl>\n <attrdef>Bismuth determined by a partial digestion method that used a 10 percent Aliquat(R) 3366-diisobutyl ketone (DIBK) solution to extract metals as organic halides, which were pneumatically aspirated into an inductively coupled plasma-mass spectrometer (ICP-MS) for simultaneous determination for 10 metals</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 parts per million (lower limit of determination)</rdommin>\n <rdommax>< 1 (lower limit of determination)</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample was not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICP10 Cd ppm</attrlabl>\n <attrdef>Cadmium determined by a partial digestion method that used a 10 percent Aliquat(R) 336-diisobutyl ketone (DIBK) solution to extract metals as organic halides, which were pneumatically aspirated into an inductively coupled plasma-mass spectrometer (ICP-MS) for simultaneous determination for 10 metals</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>0.28</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample was not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICP10 Cu ppm</attrlabl>\n <attrdef>Copper determined by a partial digestion method that used a 10 percent Aliquat(R) 336-diisobutyl ketone (DIBK) solution to extract metals as organic halides, which were pneumatically aspirated into an inductively coupled plasma-mass spectrometer (ICP-MS) for simultaneous determination for 10 metals</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>193.0</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICP10 Mo ppm</attrlabl>\n <attrdef>Molybdenum determined by a partial digestion method that used a 10 percent Aliquat(R) 336-diisobutyl ketone (DIBK) solution to extract metals as organic halides, which were pneumatically aspirated into an inductively coupled plasma-mass spectrometer (ICP-MS) for simultaneous determination for 10 metals</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>1.5</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICP10 Pb ppm</attrlabl>\n <attrdef>Lead determined by a partial digestion method that used a 10 percent Aliquat(R) 336-diisobutyl ketone (DIBK) solution to extract metals as organic halides, which were pneumatically aspirated into an inductively coupled plasma-mass spectrometer (ICP-MS) for simultaneous determination for 10 metals</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>24</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICP10 Sb ppm</attrlabl>\n <attrdef>Antimony determined by a partial digestion method that used a 10 percent Aliquat(R) 336-diisobutyl ketone (DIBK) solution to extract metals as organic halides, which were pneumatically aspirated into an inductively coupled plasma-mass spectrometer (ICP-MS) for simultaneous determination for 10 metals</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>4</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>C_ICP10 Zn ppm</attrlabl>\n <attrdef>Zinc determined by a partial digestion method that used a 10 percent Aliquat(R) 336-diisobutyl ketone (DIBK) solution to extract metals as organic halides, which were pneumatically aspirated into an inductively coupled plasma-mass spectrometer (ICP-MS) for simultaneous determination for 10 metals</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>92.6</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>n.a. means \'not analyzed\'</edomv>\n <edomvd>sample not analyzed by this method</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Al wt.%</attrlabl>\n <attrdef>Aluminum in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.01 (lower limit of determination)</rdommin>\n <rdommax>11.5</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ca wt.%</attrlabl>\n <attrdef>Calcium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.01 (lower limit of determination)</rdommin>\n <rdommax>6.23</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Fe wt.%</attrlabl>\n <attrdef>Iron in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.01 (lower limit of determination)</rdommin>\n <rdommax>12.2</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS K wt.%</attrlabl>\n <attrdef>Potassium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.01 (lower limit of determination)</rdommin>\n <rdommax>2.05</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Mg wt.%</attrlabl>\n <attrdef>Magnesium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.01 (lower limit of determination)</rdommin>\n <rdommax>5.77</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Na wt.%</attrlabl>\n <attrdef>Sodium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.01 (lower limit of determination)</rdommin>\n <rdommax>4.39</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS S wt.%</attrlabl>\n <attrdef>Sulfur in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.01 (lower limit of determination)</rdommin>\n <rdommax>0.19</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ti wt.%</attrlabl>\n <attrdef>Titanium in weight percent measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.01 weight percent (lower limit of determination)</rdommin>\n <rdommax>4.75</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ag ppm</attrlabl>\n <attrdef>Silver in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><1 (lower limit of determination)</rdommin>\n <rdommax><1 (lower limit of determination)</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>As Hyd As ppm</attrlabl>\n <attrdef>Arsenic in parts per million measured by hydride generation atomic absorption spectrometry after fusing in a mixture of sodium peroxide and sodium hydroxide and dissolved in a combination of HNO3, HCl, and HClO4</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.06 (lower limit of determination</rdommin>\n <rdommax>31</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ba ppm</attrlabl>\n <attrdef>Barium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><5 (lower limit of determination)</rdommin>\n <rdommax>1400</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Be</attrlabl>\n <attrdef>Beryllium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>2.0</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Bi ppm</attrlabl>\n <attrdef>Bismuth in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.04 (lower limit of determination)</rdommin>\n <rdommax>0.34</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Cd ppm</attrlabl>\n <attrdef>Cadmium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>1.3</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPES_MS Ce ppm</attrlabl>\n <attrdef>Cerium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>17.2</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Co ppm</attrlabl>\n <attrdef>Cobalt in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>167</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Cr ppm</attrlabl>\n <attrdef>Chromium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>787</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPES_MS Cs ppm</attrlabl>\n <attrdef>Cesium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 5 (lower limit of determination)</rdommin>\n <rdommax>< 5 (lower limit of determination)</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Cu ppm</attrlabl>\n <attrdef>Copper in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>4864</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ga ppm</attrlabl>\n <attrdef>Gallium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>24.4</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS In ppm</attrlabl>\n <attrdef>Indium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.02 (lower limit of determination)</rdommin>\n <rdommax>0.06</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CV_AA Hg ppm</attrlabl>\n <attrdef>Mercury in parts per million measured using digestion in a mixture of nitric and hydrochloric acid followed by cold -vapor atomic absorption spectrometry</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.01 (lower limit of determination)</rdommin>\n <rdommax>0.04</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>n.a. means the sample was not analyzed by this method</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS La ppm</attrlabl>\n <attrdef>Indium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.5 (lower limit of determination)</rdommin>\n <rdommax>23.7</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS LI ppm</attrlabl>\n <attrdef>Lithium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>35</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Mn ppm</attrlabl>\n <attrdef>Manganese in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 5 (lower limit of determination)</rdommin>\n <rdommax>22,280</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Mo ppm</attrlabl>\n <attrdef>Molybdenum in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>2.92</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Nb ppm</attrlabl>\n <attrdef>Niobium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>24.9</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Ni ppm</attrlabl>\n <attrdef>Nickel in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>1876</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS P ppm</attrlabl>\n <attrdef>Phosphorus in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 50 (lower limit of determination)</rdommin>\n <rdommax>1735</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Pb ppm</attrlabl>\n <attrdef>Lead in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>44.6</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Rb ppm</attrlabl>\n <attrdef>Rubidium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.2 (lower limit of determination)</rdommin>\n <rdommax>89.7</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPES_MS Sb ppm</attrlabl>\n <attrdef>Antimony in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>0.84</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Sc</attrlabl>\n <attrdef>Scandium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>23.1</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Se Hyd Se ppm</attrlabl>\n <attrdef>Selenium in parts per million measured by hydride generation atomic absorption spectrometry after fusing in a mixture of sodium peroxide and sodium hydroxide and dissolved in a combination of HNO3, HCl, and HClO4</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.2 (lower limit of determination)</rdommin>\n <rdommax>0.09</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>n.a. means the sample was not analyzed by this method</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Sr ppm</attrlabl>\n <attrdef>Scandium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.5 (lower limit of determination)</rdommin>\n <rdommax>1240</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Te ppm</attrlabl>\n <attrdef>Tellurium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.01 (lower limit of determination)</rdommin>\n <rdommax>< 0.01 (lower limit of determination)</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPES_MS Th ppm</attrlabl>\n <attrdef>Thorium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.2 (lower limit of determination)</rdommin>\n <rdommax>7.6</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Tl ppm</attrlabl>\n <attrdef>Thallium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>0.7</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPES_MS U ppm</attrlabl>\n <attrdef>Uranium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>2.3</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS V ppm</attrlabl>\n <attrdef>Vanadium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin><1 (lower limit of determination)</rdommin>\n <rdommax>433</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS W ppm</attrlabl>\n <attrdef>Tungsten in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>1.4</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPES_MS Y ppm</attrlabl>\n <attrdef>Yttrium in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.1 (lower limit of determination)</rdommin>\n <rdommax>15.1</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ICPAES_MS Zn ppm</attrlabl>\n <attrdef>Zinc in parts per million measured using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 1 (lower limit of determination)</rdommin>\n <rdommax>244</rdommax>\n <attrunit>parts per million</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Tot C total C wt.%</attrlabl>\n <attrdef>Total carbon determined by combustion in an oxygen atmosphere at 1370 degrees centigrade to oxidize carbon to CO2, which is then measured by a solid state infrared detector</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.05 (lower limit of determination)</rdommin>\n <rdommax>4.74</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>n.a. means sample was not analyzed by this method</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Coulometric Crbnt_C wt.%</attrlabl>\n <attrdef>Carbonate carbon in weight percent determined as carbon dioxide by coulometric titration</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>< 0.04 (lower limit of determination)</rdommin>\n <rdommax>0.04</rdommax>\n <attrunit>weight percent</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <udom>n.a. means the sample was not analyzed by this method</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Lower_limits_of_determination.csv</enttypl>\n <enttypd>Tabular data reporting the lower limit of detection for each element analyzed by the differing analytical methods</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Element/Compound</attrlabl>\n <attrdef>Element or compound name and chemical symbol</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Element or compound name and chemical symbol</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Analytical method</attrlabl>\n <attrdef>Analytical method used to determine concentration each element or compound in individual samples</attrdef>\n <attrdefs>Author of this data release</attrdefs>\n <attrdomv>\n <udom>Forty-four elements analyzed using 4-acid digestion (HNO3, HCl, HF, HClO4) followed by a combined method utilizing inductively coupled plasma-atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS)</udom>\n </attrdomv>\n <attrdomv>\n <udom>Arsenic and selenium analyzed as single elements both using hydride generation atomic absorption spectrometry (As_Hyd and Se_Hyd) after fusing in a mixture of sodium peroxide and sodium hydroxide and dissolved in a combination of HNO3, HCl, and HClO4</udom>\n </attrdomv>\n <attrdomv>\n <udom>Mercury measured using digestion in a mixture of nitric and hydrochloric acid followed by cold -vapor atomic absorption spectrometry (CC_AA)</udom>\n </attrdomv>\n <attrdomv>\n <udom>Total carbon determined by combustion in an oxygen atmosphere at 1370 degrees centigrade to oxidize carbon to CO2, which is then measured by a solid state infrared detector</udom>\n </attrdomv>\n <attrdomv>\n <udom>Carbonate carbon determined as carbon dioxide by coulometric titration</udom>\n </attrdomv>\n <attrdomv>\n <udom>Organic carbon determined by subtracting inorganic carbon (carbonate carbon) from total carbon</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lower limit of determination</attrlabl>\n <attrdef>lower limit of determination for each individual element or compound</attrdef>\n <attrdefs>Producter defined</attrdefs>\n <attrdomv>\n <udom>lower limit of determination for each individual element or compound in weight percent or parts per million, depending on the analytical method used</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>Laurel Woodruff</cntper>\n <cntorg>Eastern Mineral and Environmental Resources Science Center, Midwest Region</cntorg>\n </cntperp>\n <cntpos>Research Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2280 Woodale Drive</address>\n <city>Mounds View</city>\n <state>MN</state>\n <postal>55112</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>763-783-3291</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>All data. metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200819</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Laurel Woodruff</cntper>\n <cntorg>USGS Eastern Mineral and Environmental Resources Science Center, MIdwest Region</cntorg>\n </cntperp>\n <cntpos>Research Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2280 Woodale Drive</address>\n <city>Mounds View</city>\n <state>MN</state>\n <postal>55110</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>763-783-3291</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS California Water Science Center](/catalog/item/56f1713ce4b0f59b85de0b44)
3. [CAWSC Data Releases (Published)](/catalog/item/584b2820e4b07e29c706dec3)
4. [Diets and Stable Isotopes of Fishes in Rodeo Lagoon, California, 2016-2017](/catalog/folder/5cdc82dce4b0f324a7cf03d2)
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## Dates
Publication Date2021-01-25Start Date2016-04-11End Date2016-08-16
## Citation
Larwood, V.L., Steinke, D.A., Young, M.J., and Feyrer, F.V., 2021, Diets and Stable Isotopes of Fishes in Rodeo Lagoon, California, 2016-2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9WKEFOW.
## Summary
This dataset includes lab data for fish, fish diets, and stable isotopes for fish tissue, vegetation, and invertebrates collected during daylight hours in the Rodeo Lagoon and Lake in Golden Gate National Recreation Area at the Pacific Coast, USA during 2016 and 2017. This data release includes all animal taxa, and isotope values included in the analysis.
## Summary
This dataset includes lab data for fish, fish diets, and stable isotopes for fish tissue, vegetation, and invertebrates collected during daylight hours in the Rodeo Lagoon and Lake in Golden Gate National Recreation Area at the Pacific Coast, USA during 2016 and 2017. This data release includes all animal taxa, and isotope values included in the analysis.
## Contacts
Point of Contact
:
[Veronica L Larwood](/catalog/catalogParty/show?partyId=73227)
Process Contact
:
[Matthew J Young](/catalog/catalogParty/show?partyId=71944)
Originator
:
[Veronica L Larwood](/catalog/catalogParty/show?partyId=73227),
[Matthew J Young](/catalog/catalogParty/show?partyId=71944),
[Frederick V Feyrer](/catalog/catalogParty/show?partyId=65127),
[Dennis A Steinke](/catalog/catalogParty/show?partyId=73231)
Metadata Contact
:
[Veronica L Larwood](/catalog/catalogParty/show?partyId=73227)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[California Water Science Center](/catalog/catalogParty/show?partyId=17434)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5cdc82dce4b0f324a7cf03d2?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5cdc82dce4b0f324a7cf03d2?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5cdc82dce4b0f324a7cf03d2?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| ROLA\_Metadata.xml<br>_Original FGDC Metadata_ | View | 127.28 KB | application/fgdc+xml |
| ROLA\_Diets.csv | | 60.72 KB | text/csv |
| ROLA\_Isotope.csv | | 31.03 KB | text/csv |
| ROLA\_SampleData.csv | | 39.22 KB | text/csv |
## Purpose
Hypoxia resulting from nutrient-enhanced eutrophication is believed to be the primary cause of fish kills and aesthetically unpleasing water quality conditions that have led to visitor complaints at Rodeo Lagoon, Golden Gate National Recreational Area. Fish kills have included die-offs of two federally-listed fish species, the endangered tidewater goby (Eucyclogobius newberryi) and the threatened Central California Coast steelhead (Oncorhynchus mykiss). The goal of this was to identify the sources of nutrients contributing to eutrophication, hypoxia and fish kills in Rodeo Lagoon. The data will provide a more complete understanding of the energetic pathways and nutrient sources in the Rodeo Lagoon foodweb that lead to eutrophication, hypoxia and fish kills. They will also quantify hypoxia exposure of imperiled fish species.The results from this study will be of interest to scientists and managers both locally and more broadly to those around the world addressing ecological problems in coastal ecosystems.
## [Map](/catalog/item/imap/5cdc82dce4b0f324a7cf03d2)
[](/catalog/item/imap/5cdc82dce4b0f324a7cf03d2)
## Communities
- USGS California Water Science Center
- USGS Data Release Products
## Associated Items
- _alternate of_ [Otolith chemistry of fishes in Rodeo Lagoon, Marin County, California, 2016](/catalog/item/5dd8547ae4b069579767b5a3 "Otolith chemistry of fishes in Rodeo Lagoon, Marin County, California, 2016")
- _alternate of_ [Surface Water Quality at Rodeo Lagoon on August 16th, 2016](/catalog/item/5cd9a561e4b075e8e235c533 "Surface Water Quality at Rodeo Lagoon on August 16th, 2016")
- [View Associated Items](/catalog/itemLinks?itemId=5cdc82dce4b0f324a7cf03d2)
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
Theme
- [Aquatic Biology](/catalog/items?q=&filter=tags%3DAquatic+Biology "Aquatic Biology (Aquatic Biology, Theme, None)")
- [aquatic vegetation](/catalog/items?q=&filter=tags%3Daquatic+vegetation "aquatic vegetation (aquatic vegetation, Theme, USGS Thesaurus)")
- [biological taxonomy](/catalog/items?q=&filter=tags%3Dbiological+taxonomy "biological taxonomy (biological taxonomy, Theme, Thesaurus categories)")
- [biota](/catalog/items?q=&filter=tags%3Dbiota "biota (biota, Theme, ISO 19115 Topic Category)")
- [coastal ecosystems](/catalog/items?q=&filter=tags%3Dcoastal+ecosystems "coastal ecosystems (coastal ecosystems, Theme, USGS Thesaurus)")
- [endangered species](/catalog/items?q=&filter=tags%3Dendangered+species "endangered species (endangered species, Theme, USGS Thesaurus)")
- [environment](/catalog/items?q=&filter=tags%3Denvironment "environment (environment, Theme, ISO 19115 Topic Category)")
- [eutrophication](/catalog/items?q=&filter=tags%3Deutrophication "eutrophication (eutrophication, Theme, USGS Thesaurus)")
- [fish](/catalog/items?q=&filter=tags%3Dfish "fish (fish, Theme, USGS Thesaurus)")
- [invertebrates](/catalog/items?q=&filter=tags%3Dinvertebrates "invertebrates (invertebrates, Theme, USGS Thesaurus)")
- [light stable isotope analysis](/catalog/items?q=&filter=tags%3Dlight+stable+isotope+analysis "light stable isotope analysis (light stable isotope analysis, Theme, USGS Thesaurus)")
- [oxygen content (water)](/catalog/items?q=&filter=tags%3Doxygen+content+%28water%29 "oxygen content (water) (oxygen content (water), Theme, USGS Thesaurus)")
- [vegetation](/catalog/items?q=&filter=tags%3Dvegetation "vegetation (vegetation, Theme, USGS Thesaurus)")
Place
- [California](/catalog/items?q=&filter=tags%3DCalifornia "California (California, Place, Common geographic areas)")
- [Central California Coastal](/catalog/items?q=&filter=tags%3DCentral+California+Coastal "Central California Coastal (Central California Coastal, Place, Common geographic areas)")
- [Golden Gate](/catalog/items?q=&filter=tags%3DGolden+Gate "Golden Gate (Golden Gate, Place, Common geographic areas)")
- [Marin](/catalog/items?q=&filter=tags%3DMarin "Marin (Marin, Place, Common geographic areas)")
- [United States](/catalog/items?q=&filter=tags%3DUnited+States "United States (United States, Place, Common geographic areas)")
USGS Scientific Topic Keyword
- [Aquatic Biology](/catalog/items?q=&filter=tags%3DAquatic+Biology "Aquatic Biology (Aquatic Biology, USGS Scientific Topic Keyword, )")
- [Ecology](/catalog/items?q=&filter=tags%3DEcology "Ecology (Ecology, USGS Scientific Topic Keyword, )")
- [Wildlife Biology](/catalog/items?q=&filter=tags%3DWildlife+Biology "Wildlife Biology (Wildlife Biology, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9WKEFOW |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Veronica L. Larwood</origin>\n <origin>Matthew J. Young</origin>\n <origin>Frederick V. Feyrer</origin>\n <origin>Dennis A. Steinke</origin>\n <pubdate>20210125</pubdate>\n <title>Diets and Stable Isotopes of Fishes in Rodeo Lagoon, California, 2016-2017</title>\n <geoform>tabular digital data</geoform>\n <pubinfo>\n <pubplace>Sacramento, CA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9WKEFOW</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This dataset includes lab data for fish, fish diets, and stable isotopes for fish tissue, vegetation, and invertebrates collected during daylight hours in the Rodeo Lagoon and Lake in Golden Gate National Recreation Area at the Pacific Coast, USA during 2016 and 2017. This data release includes all animal taxa, and isotope values included in the analysis.</abstract>\n <purpose>Hypoxia resulting from nutrient-enhanced eutrophication is believed to be the primary cause of fish kills and aesthetically unpleasing water quality conditions that have led to visitor complaints at Rodeo Lagoon, Golden Gate National Recreational Area. Fish kills have included die-offs of two federally-listed fish species, the endangered tidewater goby (Eucyclogobius newberryi) and the threatened Central California Coast steelhead (Oncorhynchus mykiss). The goal of this was to identify the sources of nutrients contributing to eutrophication, hypoxia and fish kills in Rodeo Lagoon. The data will provide a more complete understanding of the energetic pathways and nutrient sources in the Rodeo Lagoon foodweb that lead to eutrophication, hypoxia and fish kills. They will also quantify hypoxia exposure of imperiled fish species.The results from this study will be of interest to scientists and managers both locally and more broadly to those around the world addressing ecological problems in coastal ecosystems.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20160411</begdate>\n <enddate>20160816</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-122.540903</westbc>\n <eastbc>-122.521162</eastbc>\n <northbc>37.834395</northbc>\n <southbc>37.828701</southbc>\n </bounding>\n <descgeog>Rodeo Lagoon, Marin Headlands division of the Golden Gate National Recreation Area, Southern Marin County, California</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n <themekey>environment</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Aquatic Biology</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>coastal ecosystems</themekey>\n <themekey>endangered species</themekey>\n <themekey>light stable isotope analysis</themekey>\n <themekey>fish</themekey>\n <themekey>aquatic vegetation</themekey>\n <themekey>vegetation</themekey>\n <themekey>invertebrates</themekey>\n <themekey>oxygen content (water)</themekey>\n <themekey>eutrophication</themekey>\n </theme>\n <theme>\n <themekt>Thesaurus categories</themekt>\n <themekey>biological taxonomy</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5cdc82dce4b0f324a7cf03d2</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>United States</placekey>\n <placekey>California</placekey>\n <placekey>Central California Coastal</placekey>\n <placekey>Marin</placekey>\n <placekey>Golden Gate</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>None. Users are advised to read the dataset\'s metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Veronica L. Larwood</cntper>\n <cntorg>U.S. Geological Survey, Pacific Region</cntorg>\n </cntperp>\n <cntpos>Biological Science Technician</cntpos>\n <cntaddr>\n <addrtype>mailing</addrtype>\n <address>6000 J Street Placer Hall</address>\n <city>Sacramento</city>\n <state>CA</state>\n <postal>95819</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>916-716-7372</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>National Park Service, Permit # GOGA-2016-SCI-0005</datacred>\n <native>Microsoft Windows 10 OS, Microsoft Access and Excel (Microsoft Office 365 ProPlus)</native>\n <crossref>\n <citeinfo>\n <origin>Matthew Young</origin>\n <origin>Emily Howe</origin>\n <origin>Teejay O\xe2\x80\x99Rear</origin>\n <origin>Kathleen Berridge</origin>\n <origin>Peter Moyle</origin>\n <pubdate>20200711</pubdate>\n <title>Food Web Fuel Differs Across Habitats and Seasons of a Tidal Freshwater Estuary</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>Springer Science and Business Media LLC</publish>\n </pubinfo>\n <onlink>https://doi.org/10.1007/s12237-020-00762-9</onlink>\n </citeinfo>\n </crossref>\n <taxonomy>\n <keywtax>\n <taxonkt>None</taxonkt>\n <taxonkey>Arthropoda</taxonkey>\n <taxonkey>Chironomidae</taxonkey>\n <taxonkey>Ablabesmyia</taxonkey>\n <taxonkey>Brillia</taxonkey>\n <taxonkey>Corynoneura</taxonkey>\n <taxonkey>Cricotopus</taxonkey>\n <taxonkey>Orthocladius</taxonkey>\n <taxonkey>Chironomus</taxonkey>\n <taxonkey>Dicrotendipes</taxonkey>\n <taxonkey>Ceratopogoninae</taxonkey>\n <taxonkey>Bezzia</taxonkey>\n <taxonkey>Cecidomyiidae</taxonkey>\n <taxonkey>Coleoptera</taxonkey>\n <taxonkey>Cymbiodyta</taxonkey>\n <taxonkey>Crambidae</taxonkey>\n <taxonkey>Belostoma</taxonkey>\n <taxonkey>Corixidae</taxonkey>\n <taxonkey>Cicadellidae</taxonkey>\n <taxonkey>Anisoptera</taxonkey>\n <taxonkey>Archilestes</taxonkey>\n <taxonkey>Ephemeroptera</taxonkey>\n <taxonkey>Diphetor hageni</taxonkey>\n <taxonkey>Fallceon</taxonkey>\n <taxonkey>Collembola</taxonkey>\n <taxonkey>Araneae</taxonkey>\n <taxonkey>Amphipoda</taxonkey>\n <taxonkey>Americorophium</taxonkey>\n <taxonkey>Americorophium spinicorne</taxonkey>\n <taxonkey>Eogammarus</taxonkey>\n <taxonkey>Eogammarus confervicolus</taxonkey>\n <taxonkey>Asellidae</taxonkey>\n <taxonkey>Caecidotea</taxonkey>\n <taxonkey>Gnorimosphaeroma insulare</taxonkey>\n <taxonkey>Copepoda</taxonkey>\n <taxonkey>Calanoida</taxonkey>\n <taxonkey>Cyclopidae</taxonkey>\n <taxonkey>Harpacticoida</taxonkey>\n <taxonkey>Cladocera</taxonkey>\n <taxonkey>Chydoridae</taxonkey>\n <taxonkey>Eurycercus</taxonkey>\n <taxonkey>Gyraulus</taxonkey>\n <taxonkey>Actinopterygii</taxonkey>\n <taxonkey>Ascophyllum nodosum</taxonkey>\n <taxonkey>Carpobrotus edulis</taxonkey>\n <taxonkey>Ceratophyllum demersum</taxonkey>\n <taxonkey>Elodea canadensis</taxonkey>\n <taxonkey>Helius</taxonkey>\n <taxonkey>Hemiptera</taxonkey>\n <taxonkey>Hirudinida</taxonkey>\n <taxonkey>Hyalella</taxonkey>\n <taxonkey>Hydrophilus</taxonkey>\n <taxonkey>Hydropsychidae</taxonkey>\n <taxonkey>Insecta</taxonkey>\n <taxonkey>Isopoda</taxonkey>\n <taxonkey>Laccophilinae</taxonkey>\n <taxonkey>Lemna</taxonkey>\n <taxonkey>Leptophlebiidae</taxonkey>\n <taxonkey>Lestidae</taxonkey>\n <taxonkey>Libellulidae</taxonkey>\n <taxonkey>Limnephilidae</taxonkey>\n <taxonkey>Limnophyes</taxonkey>\n <taxonkey>Ludwigia</taxonkey>\n <taxonkey>Malenka</taxonkey>\n <taxonkey>Micropsectra</taxonkey>\n <taxonkey>Microtendipes pedellus</taxonkey>\n <taxonkey>Myriophyllum aquaticum</taxonkey>\n <taxonkey>Notonectidae</taxonkey>\n <taxonkey>Oligochaeta</taxonkey>\n <taxonkey>Oribatei</taxonkey>\n <taxonkey>Ostracoda</taxonkey>\n <taxonkey>Paraleptophlebia</taxonkey>\n <taxonkey>Paraphaenocladius</taxonkey>\n <taxonkey>Paratanytarsus</taxonkey>\n <taxonkey>Pentaneurini</taxonkey>\n <taxonkey>Phaenopsectra</taxonkey>\n <taxonkey>Physella</taxonkey>\n <taxonkey>Physidae</taxonkey>\n <taxonkey>Pisidium</taxonkey>\n <taxonkey>Planorbidae</taxonkey>\n <taxonkey>Polypedilum</taxonkey>\n <taxonkey>prickly sculpin</taxonkey>\n <taxonkey>Psyllidae</taxonkey>\n <taxonkey>Ramellogammarus</taxonkey>\n <taxonkey>Rheocricotopus</taxonkey>\n <taxonkey>Rheotanytarsus</taxonkey>\n <taxonkey>Rhyacophila narvae</taxonkey>\n <taxonkey>Juncaceae</taxonkey>\n <taxonkey>Sargassum muticum</taxonkey>\n <taxonkey>Sargassum</taxonkey>\n <taxonkey>Schoenoplectus acutus</taxonkey>\n <taxonkey>Schoenoplectus pungens</taxonkey>\n <taxonkey>Schoenoplectus</taxonkey>\n <taxonkey>Scirpus microcarpus</taxonkey>\n <taxonkey>Sialis</taxonkey>\n <taxonkey>Simuliidae</taxonkey>\n <taxonkey>Sphaeriidae</taxonkey>\n <taxonkey>Sphaeromatidae</taxonkey>\n <taxonkey>Stuckenia</taxonkey>\n <taxonkey>Tanypteryx</taxonkey>\n <taxonkey>Tanytarsini</taxonkey>\n <taxonkey>Thienemannimyia</taxonkey>\n <taxonkey>Thienemannimyia</taxonkey>\n <taxonkey>threespine stickleback</taxonkey>\n <taxonkey>Thripidae</taxonkey>\n <taxonkey>tidewater goby</taxonkey>\n <taxonkey>Tipulidae</taxonkey>\n <taxonkey>Trichoptera</taxonkey>\n <taxonkey>Tropisternus</taxonkey>\n <taxonkey>Typha latifolia</taxonkey>\n <taxonkey>Ulva</taxonkey>\n <taxonkey>Zavrelimyia</taxonkey>\n <taxonkey>Zygoptera</taxonkey>\n <taxonkey>Algae sp.</taxonkey>\n <taxonkey>Benthic Algae sp.</taxonkey>\n <taxonkey>Chondracanthus exasperatus</taxonkey>\n <taxonkey>Empty</taxonkey>\n <taxonkey>Horse manure</taxonkey>\n <taxonkey>Mazzaella splendens</taxonkey>\n <taxonkey>Tadpole</taxonkey>\n <taxonkey>Truncatelloidea</taxonkey>\n </keywtax>\n <taxoncl>\n <taxonrn>Domain</taxonrn>\n <taxonrv>Eukaryota</taxonrv>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Ecdysozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Arthropoda</taxonrv>\n <common>TSN: 82696</common>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Hexapoda</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Insecta</taxonrv>\n <common>TSN: 99208</common>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Pterygota</taxonrv>\n <taxoncl>\n <taxonrn>Infraclass</taxonrn>\n <taxonrv>Neoptera</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Holometabola</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Diptera</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Nematocera</taxonrv>\n <taxoncl>\n <taxonrn>Infraorder</taxonrn>\n <taxonrv>Culicomorpha</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Chironomidae</taxonrv>\n <common>TSN: 127917</common>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Tanypodinae</taxonrv>\n <taxoncl>\n <taxonrn>Tribe</taxonrn>\n <taxonrv>Pentaneurini</taxonrv>\n <common>TSN: 128078</common>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Ablabesmyia</taxonrv>\n <common>TSN: 128079</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Thienemannimyia</taxonrv>\n <common>TSN: 128236</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Zavrelimyia</taxonrv>\n <common>TSN: 128259</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Orthocladiinae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Brillia</taxonrv>\n <common>TSN: 128477</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Corynoneura</taxonrv>\n <common>TSN: 128563</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Cricotopus</taxonrv>\n <common>TSN: 128575</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Orthocladius</taxonrv>\n <common>TSN: 128874</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Limnophyes</taxonrv>\n <common>TSN: 128776</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Paraphaenocladius</taxonrv>\n <common>TSN: 128989</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Rheocricotopus</taxonrv>\n <common>TSN: 129086</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Chironominae</taxonrv>\n <taxoncl>\n <taxonrn>Tribe</taxonrn>\n <taxonrv>Chironomini</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Chironomus</taxonrv>\n <common>TSN: 129254</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Dicrotendipes</taxonrv>\n <common>TSN: 129428</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Microtendipes</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Microtendipes pedellus</taxonrv>\n <common>TSN: 129541</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Phaenopsectra</taxonrv>\n <common>TSN: 129637</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Polypedilum</taxonrv>\n <common>TSN: 129657</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Tribe</taxonrn>\n <taxonrv>Tanytarsini</taxonrv>\n <common>TSN: 129872</common>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Micropsectra</taxonrv>\n <common>TSN: 129890</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Paratanytarsus</taxonrv>\n <common>TSN: 129935</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Rheotanytarsus</taxonrv>\n <common>TSN: 129952</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Ceratopogonidae</taxonrv>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Ceratopogoninae</taxonrv>\n <common>TSN: 127338</common>\n <taxoncl>\n <taxonrn>Tribe</taxonrn>\n <taxonrv>Palpomyiini</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Bezzia</taxonrv>\n <common>TSN: 127778</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Simuliidae</taxonrv>\n <common>TSN: 126640</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Infraorder</taxonrn>\n <taxonrv>Bibionomorpha</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Cecidomyiidae</taxonrv>\n <common>TSN: 122975</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Infraorder</taxonrn>\n <taxonrv>Tipulomorpha</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Tipulidae</taxonrv>\n <common>TSN: 118840</common>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Limoniinae</taxonrv>\n <taxoncl>\n <taxonrn>Tribe</taxonrn>\n <taxonrv>Limoniini</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Helius</taxonrv>\n <common>TSN: 119690</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Coleoptera</taxonrv>\n <common>TSN: 109216</common>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Polyphaga</taxonrv>\n <taxoncl>\n <taxonrn>Infraorder</taxonrn>\n <taxonrv>Staphyliniformia</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Hydrophiloidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Hydrophilidae</taxonrv>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Hydrophilinae</taxonrv>\n <taxoncl>\n <taxonrn>Tribe</taxonrn>\n <taxonrv>Hydrophilini</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Cymbiodyta</taxonrv>\n <common>TSN: 113017</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Hydrophilus</taxonrv>\n <common>TSN: 113204</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Tropisternus</taxonrv>\n <common>TSN: 112938</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Adephaga</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Dytiscidae</taxonrv>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Laccophilinae</taxonrv>\n <common>TSN: 678401</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Lepidoptera</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Pyraloidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Crambidae</taxonrv>\n <common>TSN: 693963</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Trichoptera</taxonrv>\n <common>TSN: 115095</common>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Hydropsychoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Hydropsychidae</taxonrv>\n <common>TSN: 115398</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Limnephiloidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Limnephilidae</taxonrv>\n <common>TSN: 115933</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Rhyacophiloidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Rhyacophilidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Rhyacophila</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Rhyacophila narvae</taxonrv>\n <common>TSN: 115155</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Paraneoptera</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Hemiptera</taxonrv>\n <common>TSN: 103359</common>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Heteroptera</taxonrv>\n <taxoncl>\n <taxonrn>Infraorder</taxonrn>\n <taxonrv>Nepomorpha</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Nepoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Belostomatidae</taxonrv>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Belostomatinae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Belostoma</taxonrv>\n <common>TSN: 103684</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Corixoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Corixidae</taxonrv>\n <common>TSN: 103364</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Notonectoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Notonectidae</taxonrv>\n <common>TSN: 103557</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Auchenorrhyncha</taxonrv>\n <taxoncl>\n <taxonrn>Infraorder</taxonrn>\n <taxonrv>Cicadomorpha</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Membracoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Cicadellidae</taxonrv>\n <common>TSN: 109171</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Sternorrhyncha</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Psylloidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Psyllidae</taxonrv>\n <common>TSN: 109187</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Thysanoptera</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Terebrantia</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Thripidae</taxonrv>\n <common>TSN: 103353</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Polyneoptera</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Plecoptera</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Euholognatha</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Nemouridae</taxonrv>\n <taxoncl>\n <taxonrn>Subfamily</taxonrn>\n <taxonrv>Amphinemurinae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Malenka</taxonrv>\n <common>TSN: 102567</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Neuropterida</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Megaloptera</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Sialidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Sialis</taxonrv>\n <common>TSN: 115002</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Infraclass</taxonrn>\n <taxonrv>Palaeoptera</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Odonata</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Anisoptera</taxonrv>\n <common>TSN: 101594</common>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Libellulidae</taxonrv>\n <common>TSN: 101797</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Petaluridae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Tanypteryx</taxonrv>\n <common>TSN: 101662</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Zygoptera</taxonrv>\n <common>TSN: 102042</common>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Lestidae</taxonrv>\n <common>TSN: 102058</common>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Archilestes</taxonrv>\n <common>TSN: 102059</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Ephemeroptera</taxonrv>\n <common>TSN: 100502</common>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Pisciforma</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Baetidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Diphetor</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Diphetor hageni</taxonrv>\n <common>TSN: 568598</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Fallceon</taxonrv>\n <common>TSN: 568551</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Furcatergalia</taxonrv>\n <taxoncl>\n <taxonrn>Infraorder</taxonrn>\n <taxonrv>Lanceolata</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Leptophlebiidae</taxonrv>\n <common>TSN: 101095</common>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Paraleptophlebia</taxonrv>\n <common>TSN: 101187</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Collembola</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Collembola</taxonrv>\n <common>TSN: 99237</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Chelicerata</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Euchelicerata</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Arachnida</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Araneae</taxonrv>\n <common>TSN: 82732</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Acariformes</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Sarcoptiformes</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Oribatida</taxonrv>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Crustacea</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Malacostraca</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Eumalacostraca</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Peracarida</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Amphipoda</taxonrv>\n <common>TSN: 93294</common>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Gammaridea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Corophiidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Americorophium</taxonrv>\n <common>TSN: 656484</common>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Americorophium spinicorne</taxonrv>\n <common>TSN: 656746</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Anisogammaridae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Eogammarus</taxonrv>\n <common>TSN: 93843</common>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Eogammarus confervicolus</taxonrv>\n <common>TSN: 656666</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Ramellogammarus</taxonrv>\n <common>TSN: 93953</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Hyalellidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Hyalella</taxonrv>\n <common>TSN: 94025</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Isopoda</taxonrv>\n <common>TSN: 92120</common>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Asellota</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Aselloidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Asellidae</taxonrv>\n <common>TSN: 92657</common>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Caecidotea</taxonrv>\n <common>TSN: 92686</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Flabellifera</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Sphaeromatidae</taxonrv>\n <common>TSN: 92283</common>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Gnorimosphaeroma</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Gnorimosphaeroma insulare</taxonrv>\n <common>TSN: 92298</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Maxillopoda</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Copepoda</taxonrv>\n <common>TSN: 85257</common>\n <taxoncl>\n <taxonrn>Infraclass</taxonrn>\n <taxonrv>Neocopepoda</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Gymnoplea</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Calanoida</taxonrv>\n <common>TSN: 85258</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Podoplea</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Cyclopoida</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Cyclopidae</taxonrv>\n <common>TSN: 88634</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Harpacticoida</taxonrv>\n <common>TSN: 86110</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Branchiopoda</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Diplostraca</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Cladocera</taxonrv>\n <common>TSN: 83832</common>\n <taxoncl>\n <taxonrn>Infraorder</taxonrn>\n <taxonrv>Anomopoda</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Chydoridae</taxonrv>\n <common>TSN: 83973</common>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Eurycercus</taxonrv>\n <common>TSN: 84016</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Ostracoda</taxonrv>\n <common>TSN: 84195</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Lophozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Mollusca</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Gastropoda</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Basommatophora</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Planorbidae</taxonrv>\n <common>TSN: 76591</common>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Gyraulus</taxonrv>\n <common>TSN: 76592</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Physidae</taxonrv>\n <common>TSN: 76676</common>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Physella</taxonrv>\n <common>TSN: 76698</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Bivalvia</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Heterodonta</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Veneroida</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Corbiculoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Pisidiidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Pisidium</taxonrv>\n <common>TSN: 81400</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Annelida</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Clitellata</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Lumbriculata</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Hirudinida</taxonrv>\n <common>TSN: 1048708</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Deuterostomia</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Chordata</taxonrv>\n <taxoncl>\n <taxonrn>Subphylum</taxonrn>\n <taxonrv>Vertebrata</taxonrv>\n <taxoncl>\n <taxonrn>Infraphylum</taxonrn>\n <taxonrv>Gnathostomata</taxonrv>\n <taxoncl>\n <taxonrn>Superclass</taxonrn>\n <taxonrv>Actinopterygii</taxonrv>\n <common>TSN: 161061</common>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Teleostei</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Acanthopterygii</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Scorpaeniformes</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Cottoidei</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Cottoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Cottidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Cottus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Cottus asper</taxonrv>\n <common>TSN: 167233</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Gasterosteiformes</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Gasterosteoidei</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Gasterosteidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Gasterosteus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Gasterosteus aculeatus</taxonrv>\n <common>TSN: 166365</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Perciformes</taxonrv>\n <taxoncl>\n <taxonrn>Suborder</taxonrn>\n <taxonrv>Gobioidei</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Gobiidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Eucyclogobius</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Eucyclogobius newberryi</taxonrv>\n <common>TSN: 171916</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Chromista</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Chromista</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Phaeophyta</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Phaeophyceae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Fucales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Fucaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Ascophyllum</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Ascophyllum nodosum</taxonrv>\n <common>TSN: 11331</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Sargassaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Sargassum</taxonrv>\n <common>TSN: 11389</common>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Sargassum muticum</taxonrv>\n <common>TSN: 11390</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Plantae</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Viridiplantae</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Streptophyta</taxonrv>\n <taxoncl>\n <taxonrn>Superdivision</taxonrn>\n <taxonrv>Embryophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Tracheophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Spermatophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Magnoliopsida</taxonrv>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Caryophyllanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Caryophyllales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Aizoaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Carpobrotus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Carpobrotus edulis</taxonrv>\n <common>TSN: 19934</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Ceratophyllanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Ceratophyllales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Ceratophyllaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Ceratophyllum</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Ceratophyllum demersum</taxonrv>\n <common>TSN: 18403</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Lilianae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Alismatales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Hydrocharitaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Elodea</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Elodea canadensis</taxonrv>\n <common>TSN: 38937</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Araceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Lemna</taxonrv>\n <common>TSN: 42588</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Potamogetonaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Stuckenia</taxonrv>\n <common>TSN: 564905</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Poales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Juncaceae</taxonrv>\n <common>TSN: 39219</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Cyperaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Schoenoplectus</taxonrv>\n <common>TSN: 500920</common>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Schoenoplectus acutus</taxonrv>\n <common>TSN: 507785</common>\n </taxoncl>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Schoenoplectus pungens</taxonrv>\n <common>TSN: 508146</common>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Scirpus</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Scirpus microcarpus</taxonrv>\n <common>TSN: 40235</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Typhaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Typha</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Typha latifolia</taxonrv>\n <common>TSN: 42326</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Rosanae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Myrtales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Onagraceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Ludwigia</taxonrv>\n <common>TSN: 27334</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Superorder</taxonrn>\n <taxonrv>Saxifraganae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Saxifragales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Haloragaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Myriophyllum</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Myriophyllum aquaticum</taxonrv>\n <common>TSN: 503904</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Chlorophyta</taxonrv>\n <taxoncl>\n <taxonrn>Division</taxonrn>\n <taxonrv>Chlorophyta</taxonrv>\n <taxoncl>\n <taxonrn>Subdivision</taxonrn>\n <taxonrv>Chlorophytina</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Ulvophyceae</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Ulvales</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Ulvaceae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Ulva</taxonrv>\n <common>TSN: 6559</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxonomy>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Data was field checked directly after the sample was completed and quality assurance/quality control (QA/QC) was conducted post sampling according to Aquatic Ecology Group standard operating procedure. Fish were identified in the field and checked prior to dissection. Data was transferred from datasheets to electronic datasheets and was checked after inputted. Isotope data was checked to ensure values fell within the expected range, were checked for duplication and omissions, and screened for outliers.</attraccr>\n </attracc>\n <logic>Data was field checked directly after the sample was completed and quality assurance/quality control (QA/QC) was conducted post sampling according to Aquatic Ecology Group standard operating procedure. Fish were identified in the field and checked prior to dissection. Data was transferred from data sheets to electronic datasheets and was checked after inputted. Isotope data was checked to ensure values fell within the expected range, were checked for duplication and omissions, and screened for outliers.</logic>\n <complete>Dataset considered complete for the information presented, as described in the abstract. Users advised to read the rest of the metadata record carefully for additional details</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Sample Collection: \nSampling took place in Rodeo Lagoon and Rodeo Lake in Marin County, California. Fish were collected using a beach seine that was 20ft x 4ft 1/4 inch stretch nylon mesh. Two people walk in unison with the beach seine parallel to shore, the net creating a U-shape. Fish were put into buckets of water with aerators and sorted by species. Fish were then identified to species stored by species, location, date, and time to be processed in the lab.</procdesc>\n <procdate>2016</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Matthew J. Young</cntper>\n <cntorg>U.S. Geological Survey, SOUTHWEST REGION</cntorg>\n </cntperp>\n <cntpos>Fish Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing</addrtype>\n <address>6000 J Street Placer Hall</address>\n <city>Sacramento</city>\n <state>CA</state>\n <postal>95819</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>916-278-3004</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n <procstep>\n <procdesc>Dissection and Isotope prep:\n\n\xe2\x80\xa2 All samples were rinsed with DI water. Fish tissue was collected from the left side of the fish using clean equipment for every individual and was placed in a clean vial and placed in the freezer. Vegetation were cut into smaller sections using clean scissors and placed in vials. Invertebrates were sorted by species and grouped by site and date and placed in vials.\n\xe2\x80\xa2 Data was recorded in the lab on paper data sheets and was reviewed for accuracy and completeness at the conclusion of sampling dissection and also at the end of the day.\n\xe2\x80\xa2 Paper data sheets were placed in the appropriate staging location at the end of dissections.\n\xe2\x80\xa2 Paper data sheets were entered into an Access database developed by the USGS Aquatic Ecology Group assigned for that project. At the time of entry, the data sheet was reviewed for accuracy and completeness.\n\xe2\x80\xa2 After entry, each paper data sheet was scanned, given the appropriate file name, and the scanned file appended to the electronic database. Scanned data sheets were inscribed with the word "scanned", initialed, and dated.\n\xe2\x80\xa2 Paper data sheets which have been scanned were compiled in the appropriate binder, with individual sheets ordered from oldest to newest within the binder.\n\xe2\x80\xa2 Data entered into the database was then checked by a different individual alongside the paper data sheet to check for errors in the lab and data entry quality assurance/quality control (QAQC).\n\n\xe2\x80\xa2 All samples were then dried in an oven with kim wipes covering the opening for 24 hours at 60 C. Once dry, samples were ground to a fine dust using a clean mortar and pestle. Equipment used to grind samples was cleaned with Dicloromethane and Ethanol.</procdesc>\n <procdate>2017</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Matthew J. Young</cntper>\n <cntorg>U.S. Geological Survey, SOUTHWEST REGION</cntorg>\n </cntperp>\n <cntpos>Fish Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing</addrtype>\n <address>6000 J Street Placer Hall</address>\n <city>Sacramento</city>\n <state>CA</state>\n <postal>95819</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>916-278-3004</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n <procstep>\n <procdesc>UC Davis, Isotope Sampling Procedures\n\nSolid samples are analyzed for 13C and 15N on six systems of various configurations:\n\xe2\x80\xa2Elementar Vario EL Cube or Micro Cube elemental analyzer (Elementar Analysensysteme GmbH, Hanau, Germany) interfaced to an Elementar VisION IRMS (Elementar UK Ltd, Cheadle, UK)\n\xe2\x80\xa2Elementar Micro Cube elemental analyzer (Elementar Analysensysteme GmbH, Hanau, Germany) interfaced to a PDZ Europa 20-20 isotope ratio mass spectrometer (Sercon Ltd., Cheshire, UK)\n\xe2\x80\xa2PDZ Europa ANCA-GSL elemental analyzer interfaced to a PDZ Europa 20-20 isotope ratio mass spectrometer (Sercon Ltd., Cheshire, UK) \n\xe2\x80\xa2Sercon Integra II integrated EA and IRMS (Sercon Ltd., Cheshire, UK)\nAll data is processed by an internal LIMS. The system was original developed for Sercon data files so there are artefacts carried forward to how VisION data files is processed.\nPost-run evaluation\nAfter an analytical run completes, the data is evaluated \xe2\x80\x93 making notes of saturated samples, misaligned references, skipping or doubling or samples/references. The state of the instrument is evaluated based on precision of drift reference (G-6 Nylon) through run, baseline N2 level, carrier flow rate, evidence of poor combustion or reduction. \nRaw data review and import to LIMS\nData processing begins with review of all chromatography through the run \xe2\x80\x93 noting tailing, shifting peaks, poor reference gas peaks, etc. \nRaw data files from Elementar VisION IonOS software - see Raw -Hodson A-D060519.xlsx\nRaw data file from Sercon Callisto software - Raw Lorts Akhtar-P061119.prn\nChanges to raw data files:\n\xe2\x80\xa2Correct run order (references swapped)\n\xe2\x80\xa2Correct reference identification (mistyping of size reference identification)\n\xe2\x80\xa2Remove extra lines at end\n\nBy macro or template convert to LIMS import file \xe2\x80\x93 see Hodson A-D060519 - to LIMS.txt and Lorts Akhtar-P061119 - to LIMS.txt\nAdjustments made to LIMS import files:\n\xe2\x80\xa2Notation for issues observed during chromatography review\n\xe2\x80\xa2Mark references to be ignored \xe2\x80\x93 saturated references, empty nylons, etc.\nThe data is ready for import to LIMS.\nLIMS corrections\nPrior to analysis, projects are created within LIMS associated to a specific researcher and containing a list of samples. Data is imported into LIMS as an individual analytical run (batch) comprised of samples and references. Each batch can contain samples from multiple projects. Batches are generally corrected individually, exceptions are noted below. Once all data for a given project is corrected, the results are saved and exported from LIMS as a single compiled results file including all associated references. \nThe following corrections/calculations are made in LIMS:\n\xe2\x80\xa2Drift correction \xe2\x80\x93 based on Nylon (G-6) reference trending\n\xe2\x80\xa2Size (Linearity) correction \xe2\x80\x93 based on Glutamic Acid (G-20) or Alfalfa Flour (G-5) trending at various sample weights\n\xe2\x80\xa2Final normalization \xe2\x80\x93 scaling from measured to known isotope value from Nylon (G-6) to Enriched Alanine (G-21) \n\xe2\x80\xa2Elemental Totals \xe2\x80\x93 based on Glutamic Acid (G-20) or Alfalfa Flour (G-5) peak area at various sample weights\n\nOrder Correction\nThe residual between the accepted Nylon isotope value and each individual value is fit by a regression in relation to ordinal position in run. The individual values are adjusted by offset determined by the fit equation. Acceptable fit equations are: offset, linear, 2nd order polynomial, power, logarithmic and hyperbolic.\n\nSize (Linearity) Correction\nSize references, Glutamic Acid (G-20) and/or Alfalfa (G-5), are included at various weights through each analytical run. While stated analytical ranges are 20-150\xc2\xb5gN and 200-2000\xc2\xb5gC, a broader range of weights are generally included based on the sample weights and material. Samples below 10\xc2\xb5gN and 50\xc2\xb5gC are flagged below LOQ but sample and reference data is still reported.\nThe residual between the run\xe2\x80\x99s average size reference isotope value and each individual value is fit by a regression in relation to peak area of reference. The individual values are adjusted by the fit equation. Acceptable fit equations are: none, linear, 2nd order polynomial, power, logarithmic and hyperbolic.\nMultiple batches can be size corrected together; for example, if a run terminates early without a complete set of references, that batch can be corrected with a comparable (run parameters, reactor chemicals, etc.) run.\n\nFinal Normalization\nMeasured values for bounding references, Nylon (G-6) and Enriched Alanine (G-21) are plotted against accepted values. The linear regression is applied to all samples and references.\nMultiple batches can be normalized together; for example, if a run terminates early without a complete set of references, that batch can be corrected with a comparable (run parameters, reactor chemicals, etc.) run.\n\nElemental Totals\nWe provide elemental totals as micrograms of carbon and nitrogen with 13C and 15N analyses. The totals are calculated from the total peak area reported from the IRMS. Size references, Glutamic Acid (G-20) and/or Alfalfa (G-5), are included at various weights through each analytical run. \nA regression of calculated micrograms to peak (beam) area is plotted and applied to all samples and references. LIMS stores the peak area as raw amp * sec * 1e6 to make the value more readable.\n\nAEG QAQC of data:\n\xe2\x80\xa2 Data were checked to ensure values fell within the expected range, were checked for duplication and omissions, and screened for outliers.</procdesc>\n <procdate>2019</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Matthew J Young</cntper>\n <cntorg>U.S. Geological Survey, SOUTHWEST REGION</cntorg>\n </cntperp>\n <cntpos>Fish Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>6000 J Street Placer Hall</address>\n <city>Sacramento</city>\n <state>CA</state>\n <postal>95819</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>916-278-3004</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n <procstep>\n <procdesc>General EcoAnalyst Gut Analysis Procedure\n\n\xe2\x80\xa2 Individual adult/juvenile fish guts were dissected and all contents were removed/flushed from the gut into a dish of ethanol for identification.\n\xe2\x80\xa2 All gut contents were identified and enumerated by a qualified taxonomist to the lowest practical taxonomic level based on current literature. Lowest practical is generally genus or species, however, many factors such as specimen condition, maturity, taxonomic certainty, or level of description can necessitate leaving some specimens at higher levels. \n\xe2\x80\xa2 Individual prey items were measured for total length when possible. Fish gut contents are typically highly-fragmented and measurements are often not possible. When appropriate, estimates of the fresh undigested length of specimens were recorded for damaged specimens. \n\xe2\x80\xa2 After identification, all specimens were consolidated into a single labeled specimen vial for storage. \n\nAEG QAQC of data:\n\xe2\x80\xa2 Data were checked to ensure values fell within the expected range, were checked for duplication and omissions, and screened for outliers.</procdesc>\n <procdate>2019</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Matthew J Young</cntper>\n <cntorg>U.S. Geological Survey, SOUTHWEST REGION</cntorg>\n </cntperp>\n <cntpos>Fish Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>6000 J Street Placer Hall</address>\n <city>Sacramento</city>\n <state>CA</state>\n <postal>95819</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>916-278-3004</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n <procstep>\n <procdesc>AEG Isotope Data: Quality Assurance/Quality Control\n\nRoutine QA/QC by AEG researchers will include evaluating all data that is obtained from stable isotope analysis laboratories.\n\n\xc2\xb7 Initial Demonstration \xe2\x80\x93 Replicates from previously completed projects will be maintained to act as samples for initial demonstration submission. For ongoing laboratories this step will be replaced with elevated replicate samples (at least ten percent) at the beginning of a new project.\n\n\xc2\xb7 Replicates \xe2\x80\x93 Replicates of homogenized samples will be included with every sample submission. Changes to field collection protocol, including new sampling stations, will require ten percent replicate samples. Immediately upon receipt of data from the laboratory AEG staff will evaluate replicate precision. If criteria for replicate precision are not met, sample submission to the laboratory will cease until the precision standard can be re-established or other corrective measures can be taken.\n\n\xc2\xb7 Reference Materials \xe2\x80\x93 Immediately upon receipt of data from the laboratory AEG staff will evaluate analytical error results. If analytical error exceeds USGS NWQL quality control acceptance criteria sample submission to the laboratory will cease until the precision standard can be re-established.\n\nYoung, M., Howe, E., O\xe2\x80\x99Rear, T. et al. Food Web Fuel Differs Across Habitats and Seasons of a Tidal Freshwater Estuary. Estuaries and Coasts (2020). https://doi.org/10.1007/s12237-020-00762-9</procdesc>\n <procdate>2019</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>ROLA_SampleData.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data. Sample ID can be used to link data with ROLA_Isotope.csv and ROLA_Diets.csv.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Sample Date</attrlabl>\n <attrdef>The date (MM/DD/YYYY) the sample was collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>The date (MM/DD/YYYY) the sample was collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Start Time</attrlabl>\n <attrdef>The time the sample began (e.g., the moment a net was deployed) in Pacific Daylight Time (US & Canada) time stamp where HH is the hour and MM the minute in 24-hour format</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>The time the sample began (e.g., the moment a net was deployed) in Pacific Daylight Time (US & Canada) time stamp where HH is the hour and MM the minute in 24-hour format</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Region</attrlabl>\n <attrdef>The geographic area that the sample was collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>R1</edomv>\n <edomvd>West area of Rodeo Lagoon</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>R3</edomv>\n <edomvd>Rodeo Lake is the smaller body of water located on the east side of the bridge</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Rodeo Lagoon</edomv>\n <edomvd>Perimeter of Lagoon</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>R2</edomv>\n <edomvd>East area of Rodeo Lagoon</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Rodeo Creek</edomv>\n <edomvd>Most downstream end of Rodeo Creek, close to Rodeo Lake, sampled close to the road.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Ocean</edomv>\n <edomvd>Sampled within Rodeo Bay, ocean attached to Rodeo Lagoon, for vegetation.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Horse Stables</edomv>\n <edomvd>Located upstream in the Rodeo Creek watershed. Samples collected were equine feces.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Latitude</attrlabl>\n <attrdef>The latitude that the sample was collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The latitude that the sample was collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Longitude</attrlabl>\n <attrdef>The longitude that the sample was collected</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The longitude that the sample was collected</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample ID</attrlabl>\n <attrdef>An identifying number for the sample</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>An identifying number for the sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Species</attrlabl>\n <attrdef>Common and scientific name of sampled individual.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Prickly Sculpin</edomv>\n <edomvd>Cottus asper</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Tidewater Goby</edomv>\n <edomvd>Eucyclogobius newberryi</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Threespine Stickleback</edomv>\n <edomvd>Gasterosteus aculeatus</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Tadpole</edomv>\n <edomvd>Tadpole</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Myriophyllum aquaticum</edomv>\n <edomvd>Myriophyllum aquaticum</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Scirpus microcarpus</edomv>\n <edomvd>Scirpus microcarpus</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Schoenoplectus acutus</edomv>\n <edomvd>Schoenoplectus acutus</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Mazzaella splendens</edomv>\n <edomvd>Mazzaella splendens</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Typha latifolia</edomv>\n <edomvd>Typha latifolia</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Stuckenia sp.</edomv>\n <edomvd>Stuckenia sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Chondracanthus exasperatus</edomv>\n <edomvd>Chondracanthus exasperatus</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Elodea canadensis</edomv>\n <edomvd>Elodea canadensis</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Schoenoplectus pungens</edomv>\n <edomvd>Schoenoplectus pungens</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Schoenoplectus sp.</edomv>\n <edomvd>Schoenoplectus sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Ceratophyllum demersum</edomv>\n <edomvd>Ceratophyllum demersum</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Ludwigia sp.</edomv>\n <edomvd>Ludwigia sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Ulva sp.</edomv>\n <edomvd>Ulva sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Algae sp.</edomv>\n <edomvd>Algae sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Benthic algae</edomv>\n <edomvd>Benthic algae</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Horse manure</edomv>\n <edomvd>Horse manure</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Lemna sp.</edomv>\n <edomvd>Lemna sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Ascophyllum nodosum</edomv>\n <edomvd>Ascophyllum nodosum</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Carpobrotus edulis</edomv>\n <edomvd>Carpobrotus edulis</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Sargassum sp.</edomv>\n <edomvd>Sargassum sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Juncaceae</edomv>\n <edomvd>Juncaceae</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Sargassum muticium</edomv>\n <edomvd>Sargassum muticium</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Gnorimosphaeroma insulare</edomv>\n <edomvd>Gnorimosphaeroma insulare</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Eogammarus confervicolus</edomv>\n <edomvd>Eogammarus confervicolus</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Hydrophilus sp.</edomv>\n <edomvd>Hydrophilus sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Chironomidae</edomv>\n <edomvd>Chironomidae</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Americorophium spinicorne</edomv>\n <edomvd>Americorophium spinicorne</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Archilestes sp.</edomv>\n <edomvd>Archilestes sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Corixidae</edomv>\n <edomvd>Corixidae</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Tropisternus sp.</edomv>\n <edomvd>Tropisternus sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Belostoma sp.</edomv>\n <edomvd>Belostoma sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Tanypteryx sp.</edomv>\n <edomvd>Tanypteryx sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Unknown Isopoda</edomv>\n <edomvd>Unknown Isopoda</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Lestidae</edomv>\n <edomvd>Lestidae</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Laccophilinae</edomv>\n <edomvd>Laccophilinae</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Libellulidae</edomv>\n <edomvd>Libellulidae</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Physidae</edomv>\n <edomvd>Physidae</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Planorbidae</edomv>\n <edomvd>Planorbidae</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Calanoida sp.</edomv>\n <edomvd>Calanoida sp.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Sample Type</attrlabl>\n <attrdef>The type of sample analyzed.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Individual Animal</edomv>\n <edomvd>One animal used for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Vegetation</edomv>\n <edomvd>Vegetation used for sample</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Combined Animal</edomv>\n <edomvd>Multiple animals of the same species from the same region used for analysis</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Standard Length (mm)</attrlabl>\n <attrdef>The standard length of a fish; the distance from the tip of the snout to the end of the vertebral column in millimeters (mm).</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>21</rdommin>\n <rdommax>106</rdommax>\n <attrunit>Millimeter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total Length (mm)</attrlabl>\n <attrdef>The total length of a fish; the distance from the tip of the snout to the end of the caudal fin in millimeters (mm).</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>24</rdommin>\n <rdommax>124</rdommax>\n <attrunit>Millimeter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Body Weight (g)</attrlabl>\n <attrdef>The weight of a fish; using a table scale to weight full fish in the laboratory prior to dissection in grams (g).</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.08</rdommin>\n <rdommax>24.76</rdommax>\n <attrunit>Grams</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Stomach Wet Weight (g)</attrlabl>\n <attrdef>The weight of the fishes stomach post dissection, prior to being preserved with ethanol; difference of vial weights with intact stomach and without contents in grams (g).</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>2.35</rdommax>\n <attrunit>Grams</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Comments</attrlabl>\n <attrdef>Comments for samples during collection and processing.</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Comments for samples during collection and processing.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>ROLA_Isotope.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data. Sample ID can be used to link data with ROLA_SampleData.csv and ROLA_Diets.csv.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Sample ID</attrlabl>\n <attrdef>An identifying number for the sample</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>An identifying number for the sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LabSampleID</attrlabl>\n <attrdef>An identifying number for the sample for the Stable Isotope Facility analyzing the samples for stable isotopes</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>An identifying number for the sample for the Stable Isotope Facility analyzing the samples for stable isotopes</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>d13C_dX_Value</attrlabl>\n <attrdef>Stable isotope value for 13C expressed in standard delta notation relative to a standard</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-36.333</rdommin>\n <rdommax>-10.705</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>d13C_Amount_ug</attrlabl>\n <attrdef>Amount of d13C in sample in micrograms (\xce\xbcg)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>138.94</rdommin>\n <rdommax>1447.672</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>d15N_dX_Value</attrlabl>\n <attrdef>Stable isotope value for 15N expressed in standard delta notation relative to a standard</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-3.043</rdommin>\n <rdommax>15.563</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>d15N_Amount_ug</attrlabl>\n <attrdef>Amount of d15N in sample in micrograms (\xce\xbcg)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>7.96</rdommin>\n <rdommax>337.972</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>d34S_dX_Value</attrlabl>\n <attrdef>Stable isotope value for 34S expressed in standard delta notation relative to a standard</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>-4.549</rdommin>\n <rdommax>37.4</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>d34S_Amount_ug</attrlabl>\n <attrdef>Amount of d34S in sample in micrograms (\xce\xbcg)</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>15.515</rdommin>\n <rdommax>393.354</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>d13C_Comment</attrlabl>\n <attrdef>Used to record any notable observation regarding the sample or individual</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Used to record any notable observation regarding the sample or individual</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>d15N_Comment</attrlabl>\n <attrdef>Used to record any notable observation regarding the sample or individual</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Used to record any notable observation regarding the sample or individual</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>d34S_Comment</attrlabl>\n <attrdef>Used to record any notable observation regarding the sample or individual</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Used to record any notable observation regarding the sample or individual</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>ROLA_Diets.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data. Sample ID can be used to link data with ROLA_SampleData.csv and ROLA_Isotope.csv.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Sample ID</attrlabl>\n <attrdef>An identifying number for the sample</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <udom>An identifying number for the sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TaxonName</attrlabl>\n <attrdef>The taxonomic identification of the organism found within the stomach</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>N/A</edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic identification of the organism found within the stomach</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EmptyStomach</attrlabl>\n <attrdef>Either the specimens stomachs were empty or not</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>No</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Yes</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LifeStage</attrlabl>\n <attrdef>Life stage of taxa in the sample</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>N/A</edomv>\n <edomvd>No Data. Stomachs were empty upon evaluation</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NV</edomv>\n <edomvd>no Value. Life stages was not identified during evaluation</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Larvae</edomv>\n <edomvd>Larvae life stage</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Pupae</edomv>\n <edomvd>Pupae life stage</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Adult</edomv>\n <edomvd>Adult life stage</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Count</attrlabl>\n <attrdef>Number of individuals of a taxa in the sample</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>119</rdommax>\n <attrunit>Counts</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Immature</attrlabl>\n <attrdef>Either the specimens immature or not</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>No</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Yes</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Indeterminate</attrlabl>\n <attrdef>Yes/No field to identify having no definite or definable value</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>No</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Yes</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PoorCondition</attrlabl>\n <attrdef>Yes/No field to identify whether specimens in poor condition</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Yes</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>No</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LargeRareTaxa</attrlabl>\n <attrdef>Yes/No field to specify large/rare taxa</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>N</edomv>\n <edomvd>No</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>DistinctTaxa</attrlabl>\n <attrdef>Yes/no field to specify whether taxa is distinct to the sample</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>Yes</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Aggregated</attrlabl>\n <attrdef>Yes/No field to specify if individuals were aggregated in the sample</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>16</rdommax>\n <attrunit>Counts</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>LabComments</attrlabl>\n <attrdef>Used to record any notable observation regarding the sample</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>Used to record any notable observation regarding the sample</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Kingdom</attrlabl>\n <attrdef>The taxonomic category kingdom</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category kingdom</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Phylum</attrlabl>\n <attrdef>The taxonomic category phylum</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category phylum</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Subphylum</attrlabl>\n <attrdef>The taxonomic category subphylum</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category subphylum</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Class</attrlabl>\n <attrdef>The taxonomic category class</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category class</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Subclass</attrlabl>\n <attrdef>The taxonomic category subclass</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category subclass</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Infraclass</attrlabl>\n <attrdef>The taxonomic category infraclass</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category infraclass</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Superorder</attrlabl>\n <attrdef>The taxonomic category superorder</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category superorder</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Order</attrlabl>\n <attrdef>The taxonomic category order</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category order</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Suborder</attrlabl>\n <attrdef>The taxonomic category suborder</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category suborder</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Infraorder</attrlabl>\n <attrdef>The taxonomic category infraorder</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category infraorder</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Superfamily</attrlabl>\n <attrdef>The taxonomic category superfamily</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category superfamily</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Family</attrlabl>\n <attrdef>The taxonomic category family</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category family</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Subfamily</attrlabl>\n <attrdef>The taxonomic category subfamily</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category subfamily</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Tribe</attrlabl>\n <attrdef>The taxonomic category tribe</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category tribe</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Subtribe</attrlabl>\n <attrdef>The taxonomic category subtribe</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category subtribe</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Genus</attrlabl>\n <attrdef>The taxonomic category genus</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category genus</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Subgenus</attrlabl>\n <attrdef>The taxonomic category subgenus</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category subgenus</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Species</attrlabl>\n <attrdef>The taxonomic category species</attrdef>\n <attrdefs>Producer Defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv><< empty cell >></edomv>\n <edomvd>No Data</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <udom>The taxonomic category species</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://www.sciencebase.gov/catalog/item/5cdc82dce4b0f324a7cf03d2</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20210125</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Veronica L Larwood</cntper>\n <cntorg>U.S. Geological Survey, SOUTHWEST REGION</cntorg>\n </cntperp>\n <cntpos>Biological science technician</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>6000 J Street Placer Hall</address>\n <city>Sacramento</city>\n <state>CA</state>\n <postal>95819</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>916-278-3065</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>' |
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2. [USGS Central Midwest Water Science Center](/catalog/item/55787734e4b032353cc0a5af)
3. [Dye study on the Des Plaines River at Brandon Road Lock and Dam near Rockdale, Illinois (October 20-21, 2015)](/catalog/item/57976a44e4b021cadec97895)
4. [Water surface elevation in the Brandon Road Lock chamber near Rockdale, Illinois (October 19-21, 2015)](/catalog/folder/57976ba1e4b021cadec978a6)
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## Dates
Publication Date2016-08-01Start Date2015-10-19End Date2015-10-21
## Citation
Jackson, P.R., and Engel, F.L., 2016, Water surface elevation in the Brandon Road Lock chamber near Rockdale, Illinois (October 19-21, 2015): U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7VQ30S2.
## Summary
An Insitu Level Troll 500 was deployed in the Brandon Road Lock chamber (BRLD) near Rockdale, Illinois between 12:09 Central Daylight Time (CDT) on October 19, 2015 and 14:57 CDT October 21, 2015 to monitor water-surface elevation in the lock chamber during a U.S. Geological Survey dye study conducted on October 20, 2015. The duration of the deployment included a day prior to and a day following the dye study to capture the lock operations leading up to and following the dye study. The instrument was deployed within conduit placed inside the ladder well near the 500-foot station on the right wall of the lock chamber (when looking downstream). At the time of deployment, the Level Troll was calibrated to the water surface elevation readings \[...\]
## Summary
An Insitu Level Troll 500 was deployed in the Brandon Road Lock chamber (BRLD) near Rockdale, Illinois between 12:09 Central Daylight Time (CDT) on October 19, 2015 and 14:57 CDT October 21, 2015 to monitor water-surface elevation in the lock chamber during a U.S. Geological Survey dye study conducted on October 20, 2015. The duration of the deployment included a day prior to and a day following the dye study to capture the lock operations leading up to and following the dye study. The instrument was deployed within conduit placed inside the ladder well near the 500-foot station on the right wall of the lock chamber (when looking downstream). At the time of deployment, the Level Troll was calibrated to the water surface elevation readings (headwater elevation; upstream gates open) as measured by the U.S. Army Corps of Engineers at Brandon Road Lock and Dam. On October 20, 2015, the lock chamber at BRLD was dyed with 4 liters of Rhodamine WT dye during a routine filling procedure. After filling and dye concentration measurements in the lock were complete, the lock was emptied and followed by a 17-minute flushing operation of the lock. Water surface elevation measurements were taken at a frequency of 1 measurement every minute by the Level Troll. Data logging was stopped and the data were recovered on October 21, 2015.
## Contacts
Contact
:
[P. Ryan Jackson](/catalog/catalogParty/show?partyId=P.+Ryan+Jackson)
Author
:
[P. Ryan Jackson](/catalog/catalogParty/show?partyId=P.+Ryan+Jackson),
[Frank L. Engel](/catalog/catalogParty/show?partyId=Frank+L.+Engel)
Metadata Contact
:
[P. Ryan Jackson](/catalog/catalogParty/show?partyId=P.+Ryan+Jackson)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
Distributor
:
[U.S. Geological Survey – ScienceBase](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey+%E2%80%93+ScienceBase)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
SDC Data Owner
:
[Central Midwest Water Science Center](/catalog/catalogParty/show?partyId=17273)
## Attached Files - sorting - [Metadata First](/catalog/item/get/57976ba1e4b021cadec978a6?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/57976ba1e4b021cadec978a6?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/57976ba1e4b021cadec978a6?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| USGS\_BRLD\_LockWSE\_metadata.xml<br>_Original FGDC Metadata_ | View | 12.58 KB | application/fgdc+xml |
| USGS\_BRLD\_LockWSE\_Oct2015.zip | | 221.5 KB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Engel, F.L., Jackson, P.R., and Murphy, E.A., 2018, Flow hydraulics and mixing characteristics in and downstream from Brandon Road Lock, Joliet, Illinois: U.S. Geological Survey Scientific Investigations Report 2018–5094, 32 p., https://doi.org/10.3133/sir20185094. | [https://doi.org/10.3133/sir20185094](https://doi.org/10.3133/sir20185094 "https://doi.org/10.3133/sir20185094") |
## Purpose
These data were collected during dye tracing surveys of the Des Plaines River downstream of Brandon Road Lock and Dam (BRLD) near Rockdale, Illinois. The purpose of this dye study was to assess the mixing, advection, and dispersion of dye within the BRLD lock chamber and in the approach channel downstream. These data will aid in the design of potential strategies for preventing upstream transport of invasive Asian carp through BRLD. Dye was injected into the intakes for the lock chamber at the start of the filling process. The dye was injected through grates atop the intake channels on both sides of the lock. Injection began at 1024 hours on October 20, 2015, and ended at 1030 hours on October 20, 2015. A total of 4 liters of Rhodamine WT in a 20 percent solution was injected (2 liters on each side of the lock). The target dye concentration in the lock chamber was 9 parts per billion (ppb). Key operation changes occurred at the following times: 10/20/2015 10:22 (start filling the lock chamber); 10/20/2015 10:43 (end filling the chamber); 10/20/2015 12:26 (start emptying lock chamber); 10/20/2015 12:43 (lock chamber empty, downstream gates remain closed); 10/20/2015 14:00 (downstream valves opened to drain leakage into lock chamber); 10/20/2015 14:08 (downstream gates opened); 10/20/2015 14:15 (lock chamber flushing procedure started; 1/4 opening of upstream valves); 10/20/2015 14:32 (flushing procedure ended); 10/20/2015 15:32 (begin filling lock chamber); 10/20/2015 15:49 (begin emptying of partially filled lock chamber); 10/20/2015 16:00 (Lock reopened to normal navigational traffic). All times are in Central Daylight Time.
## [Map](/catalog/item/imap/57976ba1e4b021cadec978a6)
[](/catalog/item/imap/57976ba1e4b021cadec978a6)
## Communities
- USGS Central Midwest Water Science Center
## Tags
Theme
- [Dye](/catalog/items?q=&filter=tags%3DDye "Dye (Dye, Theme, USGS Thesaurus)")
- [Lock exchange](/catalog/items?q=&filter=tags%3DLock+exchange "Lock exchange (Lock exchange, Theme, USGS Thesaurus)")
- [Tracer](/catalog/items?q=&filter=tags%3DTracer "Tracer (Tracer, Theme, USGS Thesaurus)")
- [Water surface elevation](/catalog/items?q=&filter=tags%3DWater+surface+elevation "Water surface elevation (Water surface elevation, Theme, USGS Thesaurus)")
Place
- [Brandon Road Lock and Dam](/catalog/items?q=&filter=tags%3DBrandon+Road+Lock+and+Dam "Brandon Road Lock and Dam (Brandon Road Lock and Dam, Place, Geographic Names Information System)")
- [Des Plaines River](/catalog/items?q=&filter=tags%3DDes+Plaines+River "Des Plaines River (Des Plaines River, Place, Geographic Names Information System)")
- [Illinois](/catalog/items?q=&filter=tags%3DIllinois "Illinois (Illinois, Place, Geographic Names Information System)")
- [Rockdale](/catalog/items?q=&filter=tags%3DRockdale "Rockdale (Rockdale, Place, Geographic Names Information System)")
- [Will County](/catalog/items?q=&filter=tags%3DWill+County "Will County (Will County, Place, Geographic Names Information System)")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
USGS Scientific Topic Keyword
- [Water Resources](/catalog/items?q=&filter=tags%3DWater+Resources "Water Resources (Water Resources, USGS Scientific Topic Keyword, )")
Types
- [Citation](/catalog/items?q=&filter=browseType%3DCitation "Citation")
## Provenance
Data sourceInput directly
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7VQ30S2 |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>P. Ryan Jackson</origin>\n <origin>Frank L. Engel</origin>\n <pubdate>2016</pubdate>\n <title>Water surface elevation in the Brandon Road Lock chamber near Rockdale, Illinois (October 19-21, 2015)</title>\n <geoform>Comma separated values (CSV) file</geoform>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.5066/F7VQ30S2</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>An Insitu Level Troll 500 was deployed in the Brandon Road Lock chamber (BRLD) near Rockdale, Illinois between 12:09 Central Daylight Time (CDT) on October 19, 2015 and 14:57 CDT October 21, 2015 to monitor water-surface elevation in the lock chamber during a U.S. Geological Survey dye study conducted on October 20, 2015. The duration of the deployment included a day prior to and a day following the dye study to capture the lock operations leading up to and following the dye study. The instrument was deployed within conduit placed inside the ladder well near the 500-foot station on the right wall of the lock chamber (when looking downstream). At the time of deployment, the Level Troll was calibrated to the water surface elevation readings (headwater elevation; upstream gates open) as measured by the U.S. Army Corps of Engineers at Brandon Road Lock and Dam. On October 20, 2015, the lock chamber at BRLD was dyed with 4 liters of Rhodamine WT dye during a routine filling procedure. After filling and dye concentration measurements in the lock were complete, the lock was emptied and followed by a 17-minute flushing operation of the lock. Water surface elevation measurements were taken at a frequency of 1 measurement every minute by the Level Troll. Data logging was stopped and the data were recovered on October 21, 2015.</abstract>\n <purpose>These data were collected during dye tracing surveys of the Des Plaines River downstream of Brandon Road Lock and Dam (BRLD) near Rockdale, Illinois. The purpose of this dye study was to assess the mixing, advection, and dispersion of dye within the BRLD lock chamber and in the approach channel downstream. These data will aid in the design of potential strategies for preventing upstream transport of invasive Asian carp through BRLD. Dye was injected into the intakes for the lock chamber at the start of the filling process. The dye was injected through grates atop the intake channels on both sides of the lock. Injection began at 1024 hours on October 20, 2015, and ended at 1030 hours on October 20, 2015. A total of 4 liters of Rhodamine WT in a 20 percent solution was injected (2 liters on each side of the lock). The target dye concentration in the lock chamber was 9 parts per billion (ppb). Key operation changes occurred at the following times: 10/20/2015 10:22 (start filling the lock chamber); 10/20/2015 10:43 (end filling the chamber); 10/20/2015 12:26 (start emptying lock chamber); 10/20/2015 12:43 (lock chamber empty, downstream gates remain closed); 10/20/2015 14:00 (downstream valves opened to drain leakage into lock chamber); 10/20/2015 14:08 (downstream gates opened); 10/20/2015 14:15 (lock chamber flushing procedure started; 1/4 opening of upstream valves); 10/20/2015 14:32 (flushing procedure ended); 10/20/2015 15:32 (begin filling lock chamber); 10/20/2015 15:49 (begin emptying of partially filled lock chamber); 10/20/2015 16:00 (Lock reopened to normal navigational traffic). All times are in Central Daylight Time.</purpose>\n <supplinf>http://dx.doi.org/10.5066/F7VQ30S2</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20151019</begdate>\n <enddate>20151021</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-88.103919</westbc>\n <eastbc>-88.10209</eastbc>\n <northbc>41.503969</northbc>\n <southbc>41.502729</southbc>\n </bounding>\n <descgeog>Chicago Sanitary and Ship Canal, Chicago, IL</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>Dye</themekey>\n <themekey>Tracer</themekey>\n <themekey>Lock exchange</themekey>\n <themekey>Water surface elevation</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:57976ba1e4b021cadec978a6</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System</placekt>\n <placekey>Des Plaines River</placekey>\n <placekey>Illinois</placekey>\n <placekey>Will County</placekey>\n <placekey>Brandon Road Lock and Dam</placekey>\n <placekey>Rockdale</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>P. Ryan Jackson</cntper>\n <cntorg>U.S. Geological Survey Illinois Water Science Center</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>405 N. Goodwin Ave.</address>\n <city>Urbana</city>\n <state>IL</state>\n <postal>61801</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>2173289719</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Great Lakes Restoration Initiative</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>The InSitu Level Troll 500 is a vented water level data logger with automatic atmospheric pressure compensation and a 30-psi (69-foot) range. Manufacturer specifications list the accuracy as +- 0.05% of the full scale (69 feet). This results in an accuracy of +-0.0345 feet (0.011 m). This instrument was calibrated to the headwater elevation at Brandon Road Lock and Dam as measured by the U.S. Army Corp of Engineers (USACE) to rectify the measured depth into a measured water surface elevation relative to National Geodetic Vertical Datum of 1929. The accuracy of the USACE headwater elevation is unknown.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Data were reviewed, plotted, and converted to meters prior to exported the data to a comma separated values file.</procdesc>\n <procdate>20160628</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Brandon Road Lock and Dam near Rockdale, Illinois</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <vertdef>\n <altsys>\n <altdatum>National Geodetic Vertical Datum of 1929 (NGVD 29)</altdatum>\n <altres>0.01</altres>\n <altunits>feet and meters</altunits>\n <altenc>Attribute values</altenc>\n </altsys>\n </vertdef>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>USGS_BRLD_LockWSE_Oct2015.csv (comma separated value (CSV) data file)</enttypl>\n <enttypd>Water surface elevation measured in the Brandon Road Lock chamber on the Des Plaines River near Rockdale, Illinois.</enttypd>\n <enttypds>U.S. Geological Survey</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Date_Time, in Central Daylight Time</attrlabl>\n <attrdef>The date and time of each measurement of water surface elevation in Central Daylight Time</attrdef>\n <attrdefs>None</attrdefs>\n <attrdomv>\n <udom>The date and time of each measurement of water surface elevation in Central Daylight Time</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lock chamber water surface elevation, in feet (NGVD29)</attrlabl>\n <attrdef>The lock chamber water surface elevation, in feet (National Geodetic Vertical Datum of 1929 (NGVD 29))</attrdef>\n <attrdefs>National Geodetic Vertical Datum of 1929</attrdefs>\n <attrdomv>\n <udom>The lock chamber water surface elevation, in feet (National Geodetic Vertical Datum of 1929 (NGVD 29))</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Lock chamber water surface elevation, in meters (NGVD29)</attrlabl>\n <attrdef>The lock chamber water surface elevation, in meters (National Geodetic Vertical Datum of 1929 (NGVD 29))</attrdef>\n <attrdefs>National Geodetic Vertical Datum of 1929</attrdefs>\n <attrdomv>\n <udom>The lock chamber water surface elevation, in meters (National Geodetic Vertical Datum of 1929 (NGVD 29))</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey \xe2\x80\x93 ScienceBase</cntper>\n <cntorg>U.S. Geological Survey \xe2\x80\x93 ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>ZIP</formname>\n <formvern>none</formvern>\n <formcont>This WinZip file (USGS_BRLD_LockWSE_Oct2015.zip) contains one comma separated value (CSV) file (USGS_BRLD_LockWSE_Oct2015.csv) and a copy of these metadata.</formcont>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>http://dx.doi.org/10.5066/F7VQ30S2</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200814</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>P. Ryan Jackson</cntper>\n <cntorg>U.S. Geological Survey, Illinois Water Science Center</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>405 N. Goodwin Ave.</address>\n <city>Urbana</city>\n <state>IL</state>\n <postal>61801</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>2173289719</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Lower Mississippi-Gulf Water Science Center](/catalog/item/553153e3e4b0b22a158062e4)
3. [@ Bathymetric Surveys](/catalog/item/5abbc98ee4b081f61abd5af6)
4. [Bathymetry and Storage Capacity of Blue Mountain Lake, Arkansas.](/catalog/item/59f0b4c4e4b0220bbd9b0ab1)
5. [Geodatabase containing bathymetric and LiDAR data for Blue Mountain Lake, Arkansas.](/catalog/folder/5a3bff48e4b0d05ee8b744e7)
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## Dates
Publication Date2018-03-27Start Date2017-05-18End Date2017-06-01
## Citation
Wagner, D.M., 2018, Bathymetry and storage capacity of Blue Mountain Lake, Arkansas: U.S. Geological Survey data release, https://doi.org/10.5066/F7Z60N1P.
## Summary
A bathymetric survey of Blue Mountain Lake, Arkansas, was conducted in May 2017 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in December 2010 for the U.S. Army Corps of Engineers, Little Rock District. From the combined point data, a terrain dataset (a type of triangulated irregular network, or TIN, model) was created in Esri ArcGIS for the lakebed within the extent of pool elevation 420 feet above the North American Vertical Datum of 1988 (NAVD88). This Esri file geodatabase contains the following \[...\]
## Summary
A bathymetric survey of Blue Mountain Lake, Arkansas, was conducted in May 2017 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in December 2010 for the U.S. Army Corps of Engineers, Little Rock District. From the combined point data, a terrain dataset (a type of triangulated irregular network, or TIN, model) was created in Esri ArcGIS for the lakebed within the extent of pool elevation 420 feet above the North American Vertical Datum of 1988 (NAVD88). This Esri file geodatabase contains the following products: 1) point data from the bathymetric and LiDAR surveys; 2) a terrain dataset; 3) a digital elevation model (DEM) in Esri GRID format with a 3-ft cell size; 4) a feature class of bathymetric contours at 4-ft intervals; and 5) a table of storage capacity (volume) of the lake at 1-ft increments in water-surface elevation from 350-420 ft NAVD88 and seasonal conservation and flood pool elevations.
## Contacts
Originator
:
[Daniel M Wagner](/catalog/catalogParty/show?partyId=10819)
Metadata Contact
:
[Daniel M Wagner](/catalog/catalogParty/show?partyId=Daniel+M+Wagner)
Data Owner
:
[Lower Mississippi-Gulf Water Science Center](/catalog/catalogParty/show?partyId=72866)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5a3bff48e4b0d05ee8b744e7?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5a3bff48e4b0d05ee8b744e7?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5a3bff48e4b0d05ee8b744e7?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
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| | | | |
| --- | --- | --- | --- |
| BlueMtnLake\_2017.gdb\_FGDC.xml<br>_Original FGDC Metadata_ | View | 33.9 KB | application/fgdc+xml |
| BlueMtnLake\_2017.gdb.zip | | 471.67 MB | application/zip |
## Purpose
Bathymetric data were collected and merged with aerial LiDAR data to update bathymetric maps and storage capacity of the lake. The products stored in this file geodatabase are intended to be used as a foundation for interpretive work. Bathymetric contours are provided for display purposes only and are not intended to be used for computations of area or volume.
## [Map](/catalog/item/imap/5a3bff48e4b0d05ee8b744e7)
[](/catalog/item/imap/5a3bff48e4b0d05ee8b744e7)
## Communities
- USGS Lower Mississippi-Gulf Water Science Center
## Tags
Theme
- [ADCP](/catalog/items?q=&filter=tags%3DADCP "ADCP (ADCP, Theme, None)")
- [ASCII](/catalog/items?q=&filter=tags%3DASCII "ASCII (ASCII, Theme, None)")
- [Acoustic](/catalog/items?q=&filter=tags%3DAcoustic "Acoustic (Acoustic, Theme, None)")
- [Bathymetry and Elevation](/catalog/items?q=&filter=tags%3DBathymetry+and+Elevation "Bathymetry and Elevation (Bathymetry and Elevation, Theme, Data categories for marine planning)")
- [Doppler](/catalog/items?q=&filter=tags%3DDoppler "Doppler (Doppler, Theme, None)")
- [LIDAR](/catalog/items?q=&filter=tags%3DLIDAR "LIDAR (LIDAR, Theme, USGS Thesaurus)")
- [Water Depth](/catalog/items?q=&filter=tags%3DWater+Depth "Water Depth (Water Depth, Theme, None)")
- [XYZ](/catalog/items?q=&filter=tags%3DXYZ "XYZ (XYZ, Theme, None)")
- [digital elevation models](/catalog/items?q=&filter=tags%3Ddigital+elevation+models "digital elevation models (digital elevation models, Theme, USGS Thesaurus)")
- [elevation](/catalog/items?q=&filter=tags%3Delevation "elevation (elevation, Theme, ISO 19115 Topic Category)")
- [inlandWaters](/catalog/items?q=&filter=tags%3DinlandWaters "inlandWaters (inlandWaters, Theme, ISO 19115 Topic Category)")
- [limnology](/catalog/items?q=&filter=tags%3Dlimnology "limnology (limnology, Theme, USGS Thesaurus)")
- [sonar](/catalog/items?q=&filter=tags%3Dsonar "sonar (sonar, Theme, None)")
- [terrain dataset](/catalog/items?q=&filter=tags%3Dterrain+dataset "terrain dataset (terrain dataset, Theme, None)")
Place
- [AR](/catalog/items?q=&filter=tags%3DAR "AR (AR, Place, Geographic Names Information System (GNIS))")
- [Arkansas](/catalog/items?q=&filter=tags%3DArkansas "Arkansas (Arkansas, Place, Geographic Names Information System (GNIS))")
- [Blue Mountain Lake](/catalog/items?q=&filter=tags%3DBlue+Mountain+Lake "Blue Mountain Lake (Blue Mountain Lake, Place, Geographic Names Information System (GNIS))")
- [GNIS ID 74690](/catalog/items?q=&filter=tags%3DGNIS+ID+74690 "GNIS ID 74690 (GNIS ID 74690, Place, Geographic Names Information System (GNIS))")
- [Yell County](/catalog/items?q=&filter=tags%3DYell+County "Yell County (Yell County, Place, Geographic Names Information System (GNIS))")
## Provenance
Data sourceInput directly
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | F7Z60N1P |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Wagner, Daniel M.</origin>\n <pubdate>20180301</pubdate>\n <title>Geodatabase containing bathymetric and LiDAR data for Blue Mountain Lake, Arkansas.</title>\n <geoform>Esri file geodatabase</geoform>\n <onlink>https://doi.org/10.5066/F7Z60N1P</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>A bathymetric survey of Blue Mountain Lake, Arkansas, was conducted in May 2017 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in December 2010, for the U.S. Army Corps of Engineers (USACE), Little Rock District. From the combined point data, a terrain dataset (a type of triangulated irregular network, or TIN, model) was created in Esri ArcGIS for the lakebed within the extent of pool elevation 420 feet above the North American Vertical Datum of 1988 (NAVD88). This Esri file geodatabase contains the following products: 1) point data from the bathymetric and LiDAR surveys; 2) a terrain dataset; 3) a digital elevation model (DEM) in Esri GRID format with a 3-ft cell size; 4) a feature class of bathymetric contours at 4-ft intervals; and 5) a table of storage capacity (volume) of the lake at 1-ft increments in water-surface elevation from 350-420 ft NAVD88 and seasonal conservation and flood pool elevations.</abstract>\n <purpose>Bathymetric data were collected and merged with aerial LiDAR data to update bathymetric maps and storage capacity of the lake. The products stored in this file geodatabase are intended to be used as a foundation for interpretive work. Bathymetric contours are provided for display purposes only and are not intended to be used for computations of area or volume.</purpose>\n <supplinf>For the bathymetric survey, a SonTek Hydrosurveyor M9 acoustic doppler current profiler (ADCP) with a Hemisphere A21 Global Positioning System (GPS) antenna were used in conjunction with Hypack 2017 software.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20170518</begdate>\n <enddate>20170601</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-93.887372955</westbc>\n <eastbc>-93.646002548</eastbc>\n <northbc>35.159493546</northbc>\n <southbc>35.06538508</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>ADCP</themekey>\n <themekey>Acoustic</themekey>\n <themekey>Doppler</themekey>\n <themekey>ASCII</themekey>\n <themekey>Water Depth</themekey>\n <themekey>XYZ</themekey>\n <themekey>sonar</themekey>\n <themekey>terrain dataset</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>elevation</themekey>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>Data categories for marine planning</themekt>\n <themekey>Bathymetry and Elevation</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>limnology</themekey>\n <themekey>LIDAR</themekey>\n <themekey>digital elevation models</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5a3bff48e4b0d05ee8b744e7</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>GNIS ID 74690</placekey>\n <placekey>Blue Mountain Lake</placekey>\n <placekey>Yell County</placekey>\n <placekey>Arkansas</placekey>\n <placekey>AR</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the USGS, no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center</cntorg>\n <cntper>Daniel M Wagner</cntper>\n </cntorgp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>700 W Research Center Blvd</address>\n <address>Suite 2411</address>\n <city>Fayetteville</city>\n <state>AR</state>\n <postal>72701</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>479-442-4888 x201</cntvoice>\n <cntfax>479-442-4066</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Funding for the project was provided by USACE, Little Rock District. Aerial LiDAR data were collected in December 2010 by Surdex Corp. and provided by USACE. The bathymetric survey was conducted by the USGS Lower Mississippi-Gulf Water Science Center during the period May 18-June 1, 2017. Kevin Hubbs from the Fayetteville, Arkansas USGS office was the boat operator during the bathymetric survey.</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5 (Build 6491) Service Pack N/A (Build N/A); Hypack Version 17.1.10.0; Corpscon (U.S. Army Corps of Engineers) version 6.0.1</native>\n <crossref>\n <citeinfo>\n <origin>Wilson, G.L. and Richards, J.M.</origin>\n <pubdate>2006</pubdate>\n <title>Procedural Documentation and Accuracy Assessment of Bathymetric Maps and Area/Capacity Tables for Small Reservoirs</title>\n <serinfo>\n <sername>U.S. Geological Survey Scientific Investigations Report</sername>\n <issue>2006-5208</issue>\n </serinfo>\n <onlink>https://pubs.usgs.gov/sir/2006/5208/</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>The SonTek Hydrosurveyor M9 ADCP has a resolution of 0.001 meters (m) and an accuracy of 1 percent (%) of the measured depth. The internal compass/tilt sensor has a heading accuracy of +/- 2% and pitch/roll accuracy of +/- 1%. Twenty-two sound velocity profiles conducted with a SonTek CastAway CTD unit served as independent checks of the sonar depth. The check depths differed from the sonar depth by 0.06 m or less in 12 profiles, by 0.29-0.82 m in 8 profiles, and by greater than 1 m in 2 profiles. The mean difference was 0.43 m and median difference was 0.04 m. Accuracy of the depths measured with the CastAway CTD were likely affected by factors such as boat drift and an inability to accurately determine the sediment/water interface using the CastAway CTD unit.</attraccr>\n </attracc>\n <logic>Data quality was assessed continuously during the survey. Data-quality flags and alarms from the sonar and GPS were noted and investigated. Twenty-two sound velocity profiles conducted with a SonTek CastAway CTD unit served as independent checks of the sonar depth. The check depths differed from the sonar depth by 0.06 m or less in 12 profiles, by 0.29-0.82 m in 8 profiles, and by greater than 1 m in 2 profiles. The mean difference was 0.43 m and median difference was 0.04 m. Two TIN surfaces, one created using sonar soundings from 7 survey lines and the other created using soundings from 4 cross check lines, were compared at the locations of 10,468 soundings (the TIN nodes) in the test area. The mean difference was 0.10 m, median difference -0.01 m, and standard deviation 0.78 m.</logic>\n <complete>The channel of the Petit Jean River upstream from Blue Mountain Lake was surveyed to approximately 4.3 kilometers (km) upstream from the confluence with major tributary Sugar Creek, at which point the surveyed depth was approximately 1 m or less. The channel of Sugar Creek was surveyed to approximately 2.6 km upstream from the confluence with the Petit Jean River, at which point the surveyed depth was consistently 1 m or less.</complete>\n <posacc>\n <horizpa>\n <horizpar>GPS data collected with the SonTek Hydrosurveyor M9 is Wide Area Augmentation System (WAAS) corrected and has an accuracy of approximately 1 m. WAAS specifications require the system to provide a position accuracy of 7.6 m (25 ft) or less for both horizontal and vertical measurements at the 95% confidence level; actual performance measurements of the system at specific locations have shown that WAAS typically provides better than 1-m horizontal and 1.5-m vertical accuracy throughout the contiguous United States.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>Depth measurements made with the SonTek Hydrosurveyor M9 were referenced to the water-surface elevation measured in 0.01-ft increments at the USACE gaging station at Blue Mountain Dam. Elevations at the gaging station are reported in ft relative to the North American Geodetic Vertical Datum of 1929 (NGVD29). The water surface throughout the lake was assumed to be at the same elevation as at the dam during the survey. Twenty-two sound velocity profiles conducted with a SonTek CastAway CTD unit served as independent checks of the sonar depth. The check depths differed from the sonar depth by 0.06 m or less in 12 profiles, by 0.29-0.82 m in 8 profiles, and by greater than 1 m in 2 profiles. The mean difference was 0.43 m and median difference was 0.04 m. Two TIN surfaces, one created using sonar soundings from 7 survey lines and the other created using soundings from 4 cross check lines, were compared at the locations of 10,468 soundings (the TIN nodes) in the test area. The mean difference was 0.10 m, median difference -0.01 m, and standard deviation 0.78 m.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Bathymetric data were collected during the period May 18-June 1, 2017 using a SonTek Hydrosurveyor M9 Acoustic Doppler Current Profiler (ADCP). In the main body of the lake, survey lines were spaced 100 meters apart; in tributary arms, survey lines were spaced 50 meters apart. The submerged channel of the Petit Jean River, as defined by surface buoys, was surveyed along 4-6 longitudinal transects between the buoys to better define the location, shape, and depth of the channel. The Petit Jean River arm upstream from the main body of the lake was also surveyed along 4-6 longitudinal transects between the banks.</procdesc>\n <procdate>20170601</procdate>\n </procstep>\n <procstep>\n <procdesc>Regarding cleanup and post-processing of data from the SonTek Hydrosurveyor M9 ADCP, raw depth measurements were examined using the SBMax64 module in Hypack. Obviously erroneous measurements were removed from the data. Water-surface elevations associated with depth measurements were determined from hourly pool elevations measured at the USACE gaging station at Blue Mountain Dam. Hourly pool elevation data for the duration of the survey were obtained from USACE, Little Rock District, and converted from NGVD29 to NAVD88 using Corpscon. Converted water-surface elevation data were then imported to Hypack using the manual tide editor and applied to the sonar data. Water-surface elevations between hourly readings were interpolated using the spline function in the tide editor. The default sound velocity in the sonar unit, 1,500 meters per second, was corrected to sound velocity measured in the field by performing sound velocity casts 1-4 times per day with a SonTek CastAway CTD unit. Sound velocity files were exported from the CastAway CTD in Hypack format and imported to Hypack using the sound velocity editor. Sound velocity applied to soundings was interpolated from the sound velocity casts by geographic position and time of day. To achieve a point spacing consistent with the approximately 1-meter point spacing of the LiDAR data, a TIN model of the final sonar data was created in Hypack and a 1-meter grid of points from the TIN model was output in ASCII XYZ format.</procdesc>\n <procdate>20170901</procdate>\n </procstep>\n <procstep>\n <procdesc>ASCII XYZ files of bathymetric soundings and gridded points from the TIN model of the bathymetric survey (as described in the previous step) were converted to point feature classes using the "ASCII 3D-to-feature class" tool in 3D Analyst.</procdesc>\n <procdate>20171001</procdate>\n </procstep>\n <procstep>\n <procdesc>A feature dataset was created within a file geodatabase, to which the multipoint feature classes of bathymetric data bare-earth returns from the aerial LiDAR survey were added. A polygon feature class created from the 420-ft NAVD88 aerial LiDAR contour upstream from Blue Mountain Dam was added to the feature dataset to represent the survey extent.</procdesc>\n <procdate>20171001</procdate>\n </procstep>\n <procstep>\n <procdesc>The multipoint feature class of aerial LiDAR data was clipped to the extent of the 420-ft aerial LiDAR contour upstream from Blue Mountain Dam. The "LASboundary" tool within the LAStools suite in ArcToolbox was used to create boundaries of the extent of sonar data from the bathymetric survey and of islands within the surveyed extent. The "Erase Points" tool in ArcToolbox was used to remove LiDAR points that overlapped the bathymetric survey data within the surveyed extent and to preserve LiDAR points representing the surfaces of 6 islands within the surveyed extent.</procdesc>\n <procdate>20171001</procdate>\n </procstep>\n <procstep>\n <procdesc>A terrain dataset was created within the feature dataset in the file geodatabase. A 3.281-ft average point spacing was used. Five pyramid levels were defined: 1) 1-ft z-tolerance at 1:1,000 scale; 2) 3-ft z-tolerance at 1:2,500 scale; 3) 6-ft z-tolerance at 1:5,000 scale; 4) 10-ft z-tolerance at 1:10,000 scale; and 5) 25-ft z-tolerance at 1:20,000 scale. The polygon feature class representing the survey extent was used as a soft-clip layer.</procdesc>\n <procdate>20171001</procdate>\n </procstep>\n <procstep>\n <procdesc>A file geodatabase raster DEM was created from the terrain dataset at pyramid level 0 (full resolution) using the "Terrain-to-Raster" tool in the 3D Analyst toolbox. Esri GRID format, FLOAT output data type, natural neighbors interpolation method, and cell size of 3 ft were used.</procdesc>\n <procdate>20171001</procdate>\n </procstep>\n <procstep>\n <procdesc>Bathymetric contours, at 4-ft intervals, were created from the file geodatabase raster DEM using the "Surface Contour" tool, 3D analyst toolbox. Small contours with a Shape_length less than 500 ft were removed from the dataset. Contours were smoothed using the "Smooth Line" tool in Cartography Tools; the PAEK smoothing algorithm and a smoothing tolerance of 120 ft were used. Contour segments that remained jagged because of the numerical interpretation of the data were smoothed with Bezier curves using the "Smooth" tool on the Advanced Editing toolbar.</procdesc>\n <procdate>20171001</procdate>\n </procstep>\n <procstep>\n <procdesc>Surface area and storage capacity (volume) of Blue Mountain Lake were computed from the file geodatabase raster DEM using the "Surface Volume" tool in 3D Analyst. The 3D-surface area was used to compute volume. A Python script was written to iterate the tool at 1-ft intervals over the elevation range of 350-420 ft, NAVD88. Surface areas and volumes corresponding to conservation pool elevations 384 ft NGVD29 (384.194 ft NAVD88) and 387 ft NGVD29 (387.194 ft NAVD88) and flood pool elevation 419 ft NGVD29 (419.194 ft NAVD88) were computed separately and included in the volume table.</procdesc>\n <procdate>20171001</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spref>\n <horizsys>\n <planar>\n <gridsys>\n <gridsysn>Universal Transverse Mercator</gridsysn>\n <utm>\n <utmzone>15</utmzone>\n <transmer>\n <sfctrmer>0.9996</sfctrmer>\n <longcm>-93.0</longcm>\n <latprjo>0.0</latprjo>\n <feast>1640416.66667</feast>\n <fnorth>0.0</fnorth>\n </transmer>\n </utm>\n </gridsys>\n <planci>\n <plance>coordinate pair</plance>\n <coordrep>\n <absres>6.0</absres>\n <ordres>6.0</ordres>\n </coordrep>\n <plandu>Foot_US</plandu>\n </planci>\n </planar>\n <geodetic>\n <horizdn>D_North_American_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n <vertdef>\n <altsys>\n <altdatum>NAVD88</altdatum>\n <altres>1.0</altres>\n <altunits>Foot_US</altunits>\n <altenc>Explicit elevation coordinate included with horizontal coordinates</altenc>\n </altsys>\n </vertdef>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>bathymetry_grid</enttypl>\n <enttypd>Multipoint feature class stored in the terrain_model feature dataset within BlueMtnLake_2017.gdb.</enttypd>\n <enttypds>Esri defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>OBJECTID</attrlabl>\n <attrdef>Identification number of the record in the attribute table corresponding to a group of points in the feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>2789</rdommax>\n <attrunit>integer</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape</attrlabl>\n <attrdef>Type of shape of the groups of points in the feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>Multipoint ZM</rdommin>\n <rdommax>Multipoint ZM</rdommax>\n <attrunit>unitless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PointCount</attrlabl>\n <attrdef>Number of points in each group within the feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>5000</rdommax>\n <attrunit>integer</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>bathymetry_soundings</enttypl>\n <enttypd>Point feature class stored in the terrain_model feature dataset within BlueMtnLake_2017.gdb.</enttypd>\n <enttypds>Esri defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>OBJECTID</attrlabl>\n <attrdef>Identification number of the record in the attribute table corresponding to a point in the feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>972949</rdommax>\n <attrunit>integer</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape</attrlabl>\n <attrdef>Type of shape of the objects in the feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>Point ZM</rdommin>\n <rdommax>Point ZM</rdommax>\n <attrunit>unitless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>contours_4ft</enttypl>\n <enttypd>Feature class stored in the terrain_model feature dataset within BlueMtnLake_2017.gdb.</enttypd>\n <enttypds>Esri defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>OBJECTID</attrlabl>\n <attrdef>identification number of the record in the attribute table corresponding to a given contour line segment</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>713</rdommax>\n <attrunit>integer</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape</attrlabl>\n <attrdef>Type of shape of the contour line segments in the feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>polyline</rdommin>\n <rdommax>polyline</rdommax>\n <attrunit>unitless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Contour</attrlabl>\n <attrdef>Elevation of the contour line segments in the feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>350</rdommin>\n <rdommax>582</rdommax>\n <attrunit>U.S. feet NAVD88</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Index</attrlabl>\n <attrdef>Integer that defines the line segment as an elevation contour (0) or index contour (1)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>1</rdommax>\n <attrunit>unitless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape_Length</attrlabl>\n <attrdef>Length of the contour line segments in the feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>43.533092</rdommin>\n <rdommax>440263.600123</rdommax>\n <attrunit>U.S. feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>LiDAR</enttypl>\n <enttypd>Multipoint feature class stored in the terrain_model feature dataset within BlueMtnLake_2017.gdb.</enttypd>\n <enttypds>Esri defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>OBJECTID_1</attrlabl>\n <attrdef>Identification number of the record in the attribute table corresponding to a group of points in the LiDAR dataset</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>11694</rdommax>\n <attrunit>integer</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape</attrlabl>\n <attrdef>Type of shape of the groups of points in the feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>Multipoint ZM</rdommin>\n <rdommax>Multipoint ZM</rdommax>\n <attrunit>unitless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>PointCount</attrlabl>\n <attrdef>Number of points in a group within the feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>3500</rdommax>\n <attrunit>integer</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>study_boundary</enttypl>\n <enttypd>Feature class stored in the terrain_model feature dataset within BlueMtnLake_2017.gdb.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>OBJECTID</attrlabl>\n <attrdef>Identification number of the record in the attribute table corresponding to the study_boundary polygon</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>1</rdommax>\n <attrunit>integer</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape</attrlabl>\n <attrdef>Type of shape of feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>PolygonZM</rdommin>\n <rdommax>PolygonZM</rdommax>\n <attrunit>unitless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>elev_ft</attrlabl>\n <attrdef>Elevation of the contour from which the polygon feature class was created</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>420</rdommin>\n <rdommax>420</rdommax>\n <attrunit>U.S. ft NAVD88</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape_Length</attrlabl>\n <attrdef>Length of the perimeter of the polygon feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>611618.445415</rdommin>\n <rdommax>611618.445415</rdommax>\n <attrunit>U.S. ft</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Shape_Area</attrlabl>\n <attrdef>Surface area of the polygon feature class</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>497418443.175827</rdommin>\n <rdommax>497418443.175827</rdommax>\n <attrunit>square feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>terrain</enttypl>\n <enttypd>terrain dataset (TIN model) stored in the terrain_model feature dataset within BlueMtnLake_2017.gdb.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Elevation</attrlabl>\n <attrdef>Elevation of elements in terrain</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>348.36</rdommin>\n <rdommax>592.72</rdommax>\n <attrunit>U.S. feet NAVD88</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Slope (degrees)</attrlabl>\n <attrdef>Slope, in degrees, of elements in terrain</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>90</rdommax>\n <attrunit>degrees</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Aspect</attrlabl>\n <attrdef>Aspect, in azimuth, of elements in terrain</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>360</rdommax>\n <attrunit>degrees</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Face Tag Value</attrlabl>\n <attrdef>Face Tag Value of elements in terrain</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>unitless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Node Tag Value</attrlabl>\n <attrdef>Node Tag Value of elements in terrain</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>unitless</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>BlueMtnLake_DEM</enttypl>\n <enttypd>Esri file geodatabase raster dataset stored in BlueMtnLake_2017.gdb.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Elevation</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>348.65042114258</rdommin>\n <rdommax>592.60168457031</rdommax>\n <attrunit>U.S. feet NAVD88</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>volume</enttypl>\n <enttypd>Table stored in BlueMtnLake_2017.gdb</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>OBJECTID</attrlabl>\n <attrdef>identification number of the record in the attribute table corresponding to a given 1-ft increment in water-surface elevation</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>74</rdommax>\n <attrunit>integer</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Elevation (feet NAVD88)</attrlabl>\n <attrdef>Elevation of the water surface below which the volume was computed using "Area3D (acres)".</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>350</rdommin>\n <rdommax>420</rdommax>\n <attrunit>U.S. feet NAVD88</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Area 2D (acres)</attrlabl>\n <attrdef>2D surface area of Blue Mountain Lake at a corresponding value of "Elevation (feet_NAVD88)"</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.852699252</rdommin>\n <rdommax>11063.35525</rdommax>\n <attrunit>acres</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Area 3D (acres)</attrlabl>\n <attrdef>3D surface area of Blue Mountain Lake at a corresponding value of "Elevation (feet NAVD88)"</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.853951682</rdommin>\n <rdommax>11135.06416</rdommax>\n <attrunit>acres</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Volume (acre-feet)</attrlabl>\n <attrdef>Volume of Blue Mountain Lake below a corresponding value of "Elevation (feet NAVD88)" computed using the 3D surface area</attrdef>\n <attrdefs>Esri defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.222133272</rdommin>\n <rdommax>261350.4527</rdommax>\n <attrunit>acre-feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the dataset. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the dataset.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center</address>\n <address>Building 810</address>\n <address>Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Although these data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. government.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Raster and Vector Digital Datasets</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F7Z60N1P</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the dataset.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200821</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Daniel M Wagner</cntper>\n <cntorg>U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>700 W Research Center Blvd</address>\n <address>Suite 2411</address>\n <address>MS 36</address>\n <city>Fayetteville</city>\n <state>AR</state>\n <postal>72701</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>479-442-4888 x201</cntvoice>\n <cntfax>479-442-4066</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data](/catalog/item/5f908bae82ce720ee2d0fef2)
4. [Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 1 Spatial information](/catalog/folder/5f908db182ce720ee2d0fef9)
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## Dates
Publication Date2020-12-09Start Date2010-10-01End Date2016-09-30
## Citation
Rahmani, F., Lawson, K., Ouyang, W., Appling, A.P., Oliver, S.K., and Shen, C., 2020, Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: U.S. Geological Survey data release, https://doi.org/10.5066/P97CGHZH.
## Summary
This data release component contains a shapefile of monitoring site locations coincident with the outlets of the 118 river basins modeled by Rahmani et al. (2020).<\\p>
## Summary
This data release component contains a shapefile of monitoring site locations coincident with the outlets of the 118 river basins modeled by Rahmani et al. (2020).<\\p>
## Contacts
Point of Contact
:
[Farshid Rahmani](/catalog/catalogParty/show?partyId=80665)
Originator
:
[Farshid Rahmani](/catalog/catalogParty/show?partyId=80665),
[Kathryn Lawson](/catalog/catalogParty/show?partyId=Kathryn+Lawson),
[Wenyu Ouyang](/catalog/catalogParty/show?partyId=Wenyu+Ouyang),
[Alison Appling](/catalog/catalogParty/show?partyId=67669),
[Samantha K Oliver](/catalog/catalogParty/show?partyId=74006),
[Chaopeng Shen](/catalog/catalogParty/show?partyId=Chaopeng+Shen)
Metadata Contact
:
[Farshid Rahmani](/catalog/catalogParty/show?partyId=80665)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[Integrated Information Dissemination Division](/catalog/catalogParty/show?partyId=17101)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
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| 01\_spatial.xml<br>_Original FGDC Metadata_ | View | 17.07 KB | application/fgdc+xml |
| gage\_locations.zip | | 7.81 KB | application/zip |
## Purpose
Decision support, water quality research, and advancement of machine learning in hydrology
## [Map](/catalog/item/imap/5f908db182ce720ee2d0fef9)
[](/catalog/item/imap/5f908db182ce720ee2d0fef9)
## Communities
- USGS Data Release Products
## Tags
Theme
- [deep learning](/catalog/items?q=&filter=tags%3Ddeep+learning "deep learning (deep learning, Theme, none)")
- [environment](/catalog/items?q=&filter=tags%3Denvironment "environment (environment, Theme, ISO 19115 Topic Category)")
- [inlandWaters](/catalog/items?q=&filter=tags%3DinlandWaters "inlandWaters (inlandWaters, Theme, ISO 19115 Topic Category)")
- [machine learning](/catalog/items?q=&filter=tags%3Dmachine+learning "machine learning (machine learning, Theme, none)")
- [modeling](/catalog/items?q=&filter=tags%3Dmodeling "modeling (modeling, Theme, none)")
- [streams](/catalog/items?q=&filter=tags%3Dstreams "streams (streams, Theme, none)")
- [water resources](/catalog/items?q=&filter=tags%3Dwater+resources "water resources (water resources, Theme, none)")
- [water temperature](/catalog/items?q=&filter=tags%3Dwater+temperature "water temperature (water temperature, Theme, none)")
Place
- [AL](/catalog/items?q=&filter=tags%3DAL "AL (AL, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Alabama](/catalog/items?q=&filter=tags%3DAlabama "Alabama (Alabama, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [DE](/catalog/items?q=&filter=tags%3DDE "DE (DE, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Delaware](/catalog/items?q=&filter=tags%3DDelaware "Delaware (Delaware, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [GA](/catalog/items?q=&filter=tags%3DGA "GA (GA, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Georgia](/catalog/items?q=&filter=tags%3DGeorgia "Georgia (Georgia, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [IA](/catalog/items?q=&filter=tags%3DIA "IA (IA, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [ID](/catalog/items?q=&filter=tags%3DID "ID (ID, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Idaho](/catalog/items?q=&filter=tags%3DIdaho "Idaho (Idaho, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Iowa](/catalog/items?q=&filter=tags%3DIowa "Iowa (Iowa, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [KS](/catalog/items?q=&filter=tags%3DKS "KS (KS, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Kansas](/catalog/items?q=&filter=tags%3DKansas "Kansas (Kansas, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [MA](/catalog/items?q=&filter=tags%3DMA "MA (MA, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [MD](/catalog/items?q=&filter=tags%3DMD "MD (MD, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [ME](/catalog/items?q=&filter=tags%3DME "ME (ME, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [MI](/catalog/items?q=&filter=tags%3DMI "MI (MI, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [MS](/catalog/items?q=&filter=tags%3DMS "MS (MS, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Maine](/catalog/items?q=&filter=tags%3DMaine "Maine (Maine, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Maryland](/catalog/items?q=&filter=tags%3DMaryland "Maryland (Maryland, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Massachusetts](/catalog/items?q=&filter=tags%3DMassachusetts "Massachusetts (Massachusetts, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Michigan](/catalog/items?q=&filter=tags%3DMichigan "Michigan (Michigan, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Mississippi](/catalog/items?q=&filter=tags%3DMississippi "Mississippi (Mississippi, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [NC](/catalog/items?q=&filter=tags%3DNC "NC (NC, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [NJ](/catalog/items?q=&filter=tags%3DNJ "NJ (NJ, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [NM](/catalog/items?q=&filter=tags%3DNM "NM (NM, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [NV](/catalog/items?q=&filter=tags%3DNV "NV (NV, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [NY](/catalog/items?q=&filter=tags%3DNY "NY (NY, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Nevada](/catalog/items?q=&filter=tags%3DNevada "Nevada (Nevada, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [New Jersey](/catalog/items?q=&filter=tags%3DNew+Jersey "New Jersey (New Jersey, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [New Mexico](/catalog/items?q=&filter=tags%3DNew+Mexico "New Mexico (New Mexico, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [New York](/catalog/items?q=&filter=tags%3DNew+York "New York (New York, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [North Carolina](/catalog/items?q=&filter=tags%3DNorth+Carolina "North Carolina (North Carolina, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [OH](/catalog/items?q=&filter=tags%3DOH "OH (OH, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [OK](/catalog/items?q=&filter=tags%3DOK "OK (OK, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [OR](/catalog/items?q=&filter=tags%3DOR "OR (OR, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Ohio](/catalog/items?q=&filter=tags%3DOhio "Ohio (Ohio, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Oklahoma](/catalog/items?q=&filter=tags%3DOklahoma "Oklahoma (Oklahoma, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Oregon](/catalog/items?q=&filter=tags%3DOregon "Oregon (Oregon, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [PA](/catalog/items?q=&filter=tags%3DPA "PA (PA, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Pennsylvania](/catalog/items?q=&filter=tags%3DPennsylvania "Pennsylvania (Pennsylvania, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [RI](/catalog/items?q=&filter=tags%3DRI "RI (RI, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Rhode Island](/catalog/items?q=&filter=tags%3DRhode+Island "Rhode Island (Rhode Island, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Rahmani, F.</origin>\n <origin>Lawson, K.</origin>\n <origin>Ouyang, W.</origin>\n <origin>Appling, A.P.</origin>\n <origin>Oliver, S.K.</origin>\n <origin>Shen, C.</origin>\n <pubdate>20201209</pubdate>\n <title>Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 1 Spatial information</title>\n <geoform>Vector digital data</geoform>\n <pubinfo>\n <pubplace>Online (digital release)</pubplace>\n <publish>U.S. Geological Survey data release</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P97CGHZH</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Farshid Rahmani</origin>\n <origin>Kathryn Lawson</origin>\n <origin>Wenyu Ouyang</origin>\n <origin>Alison Appling</origin>\n <origin>Samantha Oliver</origin>\n <origin>Chaopeng Shen</origin>\n <pubdate>2020</pubdate>\n <title>Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data.</title>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract><p>This data release component contains a shapefile of monitoring site locations coincident with the outlets of the 118 river basins modeled by Rahmani et al. (2020).<\\p></abstract>\n <purpose>Decision support, water quality research, and advancement of machine learning in hydrology</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20101001</begdate>\n <enddate>20160930</enddate>\n </rngdates>\n </timeinfo>\n <current>See publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-123.32988684</westbc>\n <eastbc>-70.97964444</eastbc>\n <northbc>48.90595739</northbc>\n <southbc>30.1454932</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>none</themekt>\n <themekey>machine learning</themekey>\n <themekey>deep learning</themekey>\n <themekey>water resources</themekey>\n <themekey>water temperature</themekey>\n <themekey>streams</themekey>\n <themekey>modeling</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>environment</themekey>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5f908db182ce720ee2d0fef9</themekey>\n </theme>\n <place>\n <placekt>Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4, Washington, D.C., National Institute of Standards and Technology</placekt>\n <placekey>United States</placekey>\n <placekey>US</placekey>\n </place>\n <place>\n <placekt>U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST</placekt>\n <placekey>Alabama</placekey>\n <placekey>AL</placekey>\n <placekey>Delaware</placekey>\n <placekey>DE</placekey>\n <placekey>Georgia</placekey>\n <placekey>GA</placekey>\n <placekey>Idaho</placekey>\n <placekey>ID</placekey>\n <placekey>Iowa</placekey>\n <placekey>IA</placekey>\n <placekey>Kansas</placekey>\n <placekey>KS</placekey>\n <placekey>Maine</placekey>\n <placekey>ME</placekey>\n <placekey>Maryland</placekey>\n <placekey>MD</placekey>\n <placekey>Massachusetts</placekey>\n <placekey>MA</placekey>\n <placekey>Michigan</placekey>\n <placekey>MI</placekey>\n <placekey>Mississippi</placekey>\n <placekey>MS</placekey>\n <placekey>Nevada</placekey>\n <placekey>NV</placekey>\n <placekey>New Jersey</placekey>\n <placekey>NJ</placekey>\n <placekey>New Mexico</placekey>\n <placekey>NM</placekey>\n <placekey>New York</placekey>\n <placekey>NY</placekey>\n <placekey>North Carolina</placekey>\n <placekey>NC</placekey>\n <placekey>Ohio</placekey>\n <placekey>OH</placekey>\n <placekey>Oklahoma</placekey>\n <placekey>OK</placekey>\n <placekey>Oregon</placekey>\n <placekey>OR</placekey>\n <placekey>Pennsylvania</placekey>\n <placekey>PA</placekey>\n <placekey>Rhode Island</placekey>\n <placekey>RI</placekey>\n <placekey>South Carolina</placekey>\n <placekey>SC</placekey>\n <placekey>Tennessee</placekey>\n <placekey>TN</placekey>\n <placekey>Texas</placekey>\n <placekey>TX</placekey>\n <placekey>Utah</placekey>\n <placekey>UT</placekey>\n <placekey>Virginia</placekey>\n <placekey>VA</placekey>\n <placekey>Washington</placekey>\n <placekey>WA</placekey>\n <placekey>West Virginia</placekey>\n <placekey>WV</placekey>\n <placekey>Wisconsin</placekey>\n <placekey>WI</placekey>\n <placekey>Wyoming</placekey>\n <placekey>WY</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>None, but see "Distribution Liability"/"distliab" below. Users are advised to read the associated publication thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Farshid Rahmani</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Graduate Research Assistant</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>Sackett Building, Pennsylvania State University</address>\n <city>State College</city>\n <state>PA</state>\n <postal>16801</postal>\n <country>U.S.A.</country>\n </cntaddr>\n <cntvoice>NA</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>This study was funded by the Integrated Water Prediction Program of the U.S. Geological Survey, including funds transfered to Pennsylvania State University via Pennsylvania Water Resources Research Center graduate internship G19AC00425.</datacred>\n <native>Archive-ready data were prepared for this release using the x86_64-apple-darwin17.0 operating system and the R statistical programming language (R version 4.0.2, 2020-06-22; R Core Team, 2020; https://www.R-project.org). R packages loaded into this environment: reticulate, version: 1.16; zip, version: 2.1.1; dssecrets, version: 0.1.4; sbtools, version: 1.1.12; sf, version: 0.9-6; rgdal, version: 1.5-18; sp, version: 1.4-4; feather, version: 0.3.5; meddle, version: 0.0.11; mapdata, version: 2.3.0; maps, version: 3.3.0; yaml, version: 2.2.1; scipiper, version: 0.0.23; forcats, version: 0.5.0; stringr, version: 1.4.0; dplyr, version: 1.0.2; purrr, version: 0.3.4; readr, version: 1.4.0; tidyr, version: 1.1.2; tibble, version: 3.0.4; ggplot2, version: 3.3.2; tidyverse, version: 1.3.0.\nModel-ready data used to train and run the models for the manuscript were originally procesed in the python programming language (Python version 3.7.9; Python Software Foundation, 2020; https://www.python.org). These python modules were installed: appdirs, v1.4.4; argon2-cffi, v20.1.0; attrs, v20.2.0; backcall, v0.2.0; basemap, v1.2.1; blas, v1.0; bleach, v3.2.1; ca-certificates, v2020.7.22; certifi, v2020.6.20; cffi, v1.14.3; colorama, v0.4.3; cudatoolkit, v10.0.130; cycler, v0.10.0; dataretrieval, v0.4; decorator, v4.4.2; defusedxml, v0.6.0; distlib, v0.3.1; entrypoints, v0.3; filelock, v3.0.12; freetype, v2.10.2; icc_rt, v2019.0.0; icu, v58.2; importlib-metadata, v1.7.0; importlib_metadata, v1.7.0; intel-openmp, v2020.2; ipykernel, v5.3.4; ipython, v7.18.1; ipython_genutils, v0.2.0; jedi, v0.17.2; jinja2, v2.11.2; joblib, v0.17.0; jpeg, v9b; jsonschema, v3.2.0; jupyter_client, v6.1.6; jupyter_core, v4.6.3; kiwisolver, v1.2.0; libpng, v1.6.37; libsodium, v1.0.18; libtiff, v4.1.0; lz4-c, v1.9.2; m2w64-gcc-libgfortran, v5.3.0; m2w64-gcc-libs, v5.3.0; m2w64-gcc-libs-core, v5.3.0; m2w64-gmp, v6.1.0; m2w64-libwinpthread-git, v5.0.0.4634.697f757; markupsafe, v1.1.1; matplotlib, v3.2.2; mistune, v0.8.4; mkl, v2020.2; mkl-service, v2.3.0; mkl_fft, v1.2.0; mkl_random, v1.1.1; msys2-conda-epoch, v20160418; nbconvert, v5.6.1; nbformat, v5.0.7; ninja, v1.10.1; notebook, v6.1.1; numpy, v1.19.1; numpy-base, v1.19.1; olefile, v0.46; openssl, v1.1.1h; packaging, v20.4; pandas, v1.1.1; pandoc, v2.10.1; pandocfilters, v1.4.2; parso, v0.7.0; patsy, v0.5.1; permutationimportance, v1.2.1.8; pickleshare, v0.7.5; pillow, v7.2.0; pip, v20.2.3; pipenv, v2020.8.13; prometheus_client, v0.8.0; prompt-toolkit, v3.0.7; pyarrow, v1.0.1; pycparser, v2.20; pygments, v2.7.1; pyparsing, v2.4.7; pyproj, v2.6.1.post1; pyqt, v5.9.2; pyrsistent, v0.17.3; pyshp, v2.1.2; python, v3.7.9; python-dateutil, v2.8.1; pytorch, v1.2.0; pytz, v2020.1; pywin32, v227; pywinpty, v0.5.7; pyzmq, v19.0.2; qt, v5.9.7; requests, v2.7.0; scikit-learn, v0.23.2; scipy, v1.1.0; send2trash, v1.5.0; setuptools, v49.6.0; sip, v4.19.8; six, v1.15.0; sqlite, v3.33.0; statsmodels, v0.11.1; terminado, v0.8.3; testpath, v0.4.4; threadpoolctl, v2.1.0; tk, v8.6.10; torchvision, v0.4.0; tornado, v6.0.4; tqdm, v4.50.2; traitlets, v5.0.4; vc, v14.1; virtualenv, v20.0.35; virtualenv-clone, v0.5.4; vs2015_runtime, v14.16.27012; wcwidth, v0.2.5; webencodings, v0.5.1; wheel, v0.35.1; wincertstore, v0.2; winpty, v0.4.3; xz, v5.2.5; zeromq, v4.3.2; zipp, v3.1.0; zlib, v1.2.11; zstd, v1.4.5.\nModel predictions and evaluations were generated using a computer with a 64 bit Windows 10 operating system, 2 Intel(R) Xeon(R) E5-2690 v2 @ 3.00 GHz CPUs with a total of 20 physical cores, 1 NVIDIA GeForce GTX 1080 Ti GPU, and 128 GB memory.</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>Not applicable</logic>\n <complete>Not applicable</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the dataset was not conducted.</horizpar>\n </horizpa>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>J.A. Falcone</origin>\n <pubdate>2011</pubdate>\n <title>GAGES-II: Geospatial attributes of gages for evaluating streamflow</title>\n <onlink>https://doi.org/10.3133/70046617</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2011</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Falcone (2011)</srccitea>\n <srccontr>Coordinates of the basin outlets corresponding to the 118 selected monitoring sites</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Monitoring site coordinates were downloaded from the GAGES-II website (Falcone, 2011) and subset to the 118 sites of interest using the R programming language (see "Native Data Set Environment"/"native").\nTo select the 118 monitoring sites (and thus their contributing basins), water temperature (see data release component "2 Observations") and basin attribute data (data release component "3 Inputs") were initially downloaded for all 9322 sites in the GAGES-II database, and sites were then subset to those (1) with more than 60% of days between 2010/10/01 and 2014/09/30 having observed daily temperatures, and (2) whose contributing basins contained no major dams (more than 50 ft in height, or having more than 5000 acre feet storage) as quantified in the MAJ_NDAMS_2009 variable in GAGES-II. This subsetting process yielded 118 sites (and their basins) for inclusion in the modeling applications and this data release.</procdesc>\n <procdate>20201207</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>U.S.A.</indspref>\n <direct>Point</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>Point</sdtstype>\n <ptvctcnt>118</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>1e-05</latres>\n <longres>1e-05</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>WGS84</horizdn>\n <ellips>WGS_1984</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>gage_locations.zip</enttypl>\n <enttypd>GIS point locations for the monitoring sites that define the outlets of the 118 basins modeled in this study.</enttypd>\n <enttypds>Falcone (2011) and this study</enttypds>\n </enttyp>\n <attr>\n <attrlabl>site_no</attrlabl>\n <attrdef>Unique USGS site identifier.</attrdef>\n <attrdefs>U.S. Geological Survey; STAID as in Falcone (2011)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>NA</rdommin>\n <rdommax>NA</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>site_name</attrlabl>\n <attrdef>Name of the site, which often includes river name.</attrdef>\n <attrdefs>STANAME as in Falcone (2011)</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>NA</rdommin>\n <rdommax>NA</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>lat</attrlabl>\n <attrdef>Latitude of the site location.</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>30.14549</rdommin>\n <rdommax>48.90596</rdommax>\n <attrunit>decimal degrees</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>long</attrlabl>\n <attrdef>Longitude of the site location.</attrdef>\n <attrdefs>NA</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-123.3299</rdommin>\n <rdommax>-70.97964</rdommax>\n <attrunit>decimal degrees</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80255</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Zipfile containing shapefile components (.shp, .shx, .prj, and .dbf files)</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P97CGHZH</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20201209</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Farshid Rahmani</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Graduate Research Assistant</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>Sackett Building, Pennsylvania State University</address>\n <city>State College</city>\n <state>PA</state>\n <postal>16801</postal>\n <country>U.S.A.</country>\n </cntaddr>\n <cntvoice>NA</cntvoice>\n <cntfax>NA</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2018-09-04Start Date1879-12-31End Date2013-12-31
## Citation
Weltzin, J.F., Crimmins, T.M., Posthumus, E.E., Walker, J.J., and Waller, E.K. 2018, Spring leaf and bloom index dates (1880-2013) and migratory bird flyways: U.S. Geological Survey data release, https://doi.org/10.5066/P9Z4C9LE.
## Summary
This page contains NetCDF files of the Spring Leaf and Bloom Indices spanning 1880-2013. These files were created and are maintained by the USA National Phenology Network (www.usanpn.org). The Extended Spring Indices are mathematical models that predict the "start of spring" (timing of leaf out or bloom for species active in early spring) at a particular location (Schwartz 1997, Schwartz et al. 2006, Schwartz et al. 2013). These models were constructed using historical observations of the timing of first leaf and first bloom in a cloned lilac cultivar (S. x chinensis 'Red Rothomagensis') and two cloned honeysuckle cultivars (Lonicera tatarica 'Arnold Red' and L. korolkowii 'Zabelii'). Primary inputs to the model are temperature and \[...\]
## Summary
This page contains NetCDF files of the Spring Leaf and Bloom Indices spanning 1880-2013. These files were created and are maintained by the USA National Phenology Network ( [www.usanpn.org](http://www.usanpn.org/)). The Extended Spring Indices are mathematical models that predict the "start of spring" (timing of leaf out or bloom for species active in early spring) at a particular location (Schwartz 1997, Schwartz et al. 2006, Schwartz et al. 2013). These models were constructed using historical observations of the timing of first leaf and first bloom in a cloned lilac cultivar (S. x chinensis 'Red Rothomagensis') and two cloned honeysuckle cultivars (Lonicera tatarica 'Arnold Red' and L. korolkowii 'Zabelii'). Primary inputs to the model are temperature and weather events, beginning January 1 of each year (Ault et al. 2015). The model output is the day of year that a particular location met the requirements of one of the Spring Index models (First Leaf or First Bloom). As the Extended Spring Index models are based on individual models for each of three calibration species, model output is available for each of these species individually, or as an average of the three species. The original Spring Indices (Schwartz 1997) included a chilling requirement. In a more recent version of the model (Schwartz et al. 2013), referred to as the Extended Spring Indices, the chilling requirement was excluded, allowing the index to be extended across the entire U.S. Spring index products in the USA National Phenology Network's gridded data product suite are based on the Extended Spring Indices.
This page also contains a vector file of continental-scale migratory bird flyways. This vector file was generated by merging a digital US flyway product (Ducks Unlimited, 2017) with digital boundaries of Canadian provinces (Natural Resources Canada, 2017) and Mexican states (US Geological Survey, 2017). We manually defined boundaries to create the four distinct continental flyways: Pacific, Central, Mississippi and Atlantic.
**References:**
Ducks Unlimited. DU Flyways \[Internet\]. 2005 \[cited 23 Feb 2017\]. Available: http://www.ducks.org/conservation/geographic-information-systems/gis-spatial-data-download/page2
Natural Resources Canada. Free Data - GeoGratis \[Internet\]. 2017 \[cited 1 Jul 2017\]. Available: [https://www.nrcan.gc.ca/earth-sciences/geography/topographic-information/free-data-geogratis/11042](https://www.nrcan.gc.ca/earth-sciences/geography/topographic-information/free-data-geogratis/11042)
Schwartz M. Spring index models: an approach to connecting satellite and surface phenology. In: Lieth H, Schwartz M, editors. Phenology of Seasonal Climates. Netherlands: Backhuys; 1997. pp. 23–38.
Schwartz MD, Ault TR, Betancourt JL. Spring onset variations and trends in the continental United States: past and regional assessment using temperature-based indices. Int J Climatol. 2013; 33: 2917–2922. doi:10.1002/joc.3625
U.S. Geological Survey. Digital map of the state (political) boundaries of Mexico \[Internet\]. 2014 \[cited 23 Feb 2017\]. Available: https://catalog.data.gov/dataset/digital-map-of-the-state-political-boundaries-of-mexico
## Contacts
Point of Contact
:
[National Phenology Network](/catalog/catalogParty/show?partyId=24065),
[Theresa Crimmins](/catalog/catalogParty/show?partyId=73925)
Originator
:
[Eric K Waller](/catalog/catalogParty/show?partyId=70350),
[Theresa Crimmins](/catalog/catalogParty/show?partyId=73925),
[Jake Weltzin](/catalog/catalogParty/show?partyId=11090),
[Erin E. Posthumus](/catalog/catalogParty/show?partyId=Erin+E.+Posthumus),
[Jessica J Walker](/catalog/catalogParty/show?partyId=66916)
Metadata Contact
:
[Theresa Crimmins](/catalog/catalogParty/show?partyId=73925)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157),
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Ecosystems](/catalog/catalogParty/show?partyId=Ecosystems)
SDC Data Owner
:
[Office of the Associate Director for Ecosystems](/catalog/catalogParty/show?partyId=17005)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5b75d10ee4b0f5d5787fea6f?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5b75d10ee4b0f5d5787fea6f?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5b75d10ee4b0f5d5787fea6f?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| six\_and\_migratory\_bird\_flyways.xml<br>_Original FGDC Metadata_ | View | 10.33 KB | application/fgdc+xml |
| Migratory\_Flyways.zip | | 2.35 MB | application/zip |
| si-x-average\_leaf\_best.zip | | 939.65 KB | application/zip |
| si-x-average\_bloom\_best.zip | | 900.3 KB | application/zip |
## Related External Resources
Type: File Access
| | |
| --- | --- |
| Raster Digital Data Set Machine Accessible WMS Endpoint | [http://geoserver.usanpn.org/geoserver/wms?request=GetCapabilities](http://geoserver.usanpn.org/geoserver/wms?request=GetCapabilities "http://geoserver.usanpn.org/geoserver/wms?request=GetCapabilities") |
| Raster Digital Data Set Machine Accessible WCS Endpoint | [http://geoserver.usanpn.org/geoserver/wcs?request=GetCapabilities](http://geoserver.usanpn.org/geoserver/wcs?request=GetCapabilities "http://geoserver.usanpn.org/geoserver/wcs?request=GetCapabilities") |
Type: Related Primary Publication
| | |
| --- | --- |
| Waller, E.K., T.M. Crimmins, J.J. Walker, E.E. Posthumus, and J.F. Weltzin. 2018. Differential changes in the onset of spring across US National Wildlife Refuges and North American migratory bird flyways. PLoS ONE. In press. | [https://doi.org/10.5066/xxxxxxxx](https://doi.org/10.5066/xxxxxxxx "https://doi.org/10.5066/xxxxxxxx") |
## Purpose
These datasets were compiled to evaluate changes in the start of spring onset at three spatial scales: the US National Wildlife Refuge System; the four major bird migratory flyways in North America; and the seasonal ranges (i.e., breeding and non-breeding grounds) of two migratory bird species, Blue-winged Warbler (Vermivora cyanoptera) and Whooping Crane (Grus americana) for the period 1901 to 2012
## Communities
- USGS Data Release Products
## Tags
Theme
- [ecology](/catalog/items?q=&filter=tags%3Decology "ecology (ecology, Theme, USGS Thesaurus)")
- [phenology](/catalog/items?q=&filter=tags%3Dphenology "phenology (phenology, Theme, USGS Thesaurus)")
Place
- [Canada](/catalog/items?q=&filter=tags%3DCanada "Canada (Canada, Place, Common geographic areas)")
- [Mexico](/catalog/items?q=&filter=tags%3DMexico "Mexico (Mexico, Place, Common geographic areas)")
- [United States](/catalog/items?q=&filter=tags%3DUnited+States "United States (United States, Place, Common geographic areas)")
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- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
USGS Scientific Topic Keyword
- [Ecology](/catalog/items?q=&filter=tags%3DEcology "Ecology (Ecology, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9Z4C9LE |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>USA National Phenology Network</origin>\n <origin>Theresa Crimmins</origin>\n <origin>Jake Weltzin</origin>\n <origin>Erik K. Waller</origin>\n <origin>Jessica J. Walker</origin>\n <origin>Erin E. Posthumus</origin>\n <pubdate>2018</pubdate>\n <title>Spring leaf and bloom index dates (1880-2013) and migratory bird flyways</title>\n <geoform>Raster Digital Data Set</geoform>\n <onlink>https://doi.org/10.5066/P9Z4C9LE</onlink>\n <lworkcit>\n <citeinfo>\n <origin>USA National Phenology Network</origin>\n <pubdate>2016</pubdate>\n <title>USA National Phenology Network, Gridded Data Product Suite</title>\n <geoform>GIS Data Service</geoform>\n <pubinfo>\n <pubplace>Internet</pubplace>\n <publish>USA National Phenology Network</publish>\n </pubinfo>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Historical values for the Extended Spring Index (SI-x) of First Leaf. Each pixel is assigned a day of year value for the First Leaf Index. The Extended Spring Indices are mathematical models that predict the "start of spring" (timing of leaf out or bloom for species active in early spring) at a particular location. This model was constructed using historical observations of the timing of first leaf in a cloned lilac cultivar (S. x chinensis \'Red Rothomagensis\') and two cloned honeysuckle cultivars (Lonicera tatarica \'Arnold Red\' and L. korolkowii \'Zabelii\'). Primary inputs to the model are temperature events, beginning January 1 of each year. Layers are available for each year from 1880 to 2013. Input temperature data are historical BEST data at 1 degree resolution.</abstract>\n <purpose>The Extended Spring Indices have been used as an indicator of climate change by both the Environmental Protection Agency and the National Climate Assessment. The historical values of first leaf and first bloom support understanding of spatial patterns in the timing of spring.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>18800101</begdate>\n <enddate>20131231</enddate>\n </rngdates>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Annually</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-180.0</westbc>\n <eastbc>0.0</eastbc>\n <northbc>90.0</northbc>\n <southbc>0.0</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>phenology</themekey>\n <themekey>ecology</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5b75d10ee4b0f5d5787fea6f</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>United States</placekey>\n <placekey>Canada</placekey>\n <placekey>Mexico</placekey>\n </place>\n </keywords>\n <accconst>Public</accconst>\n <useconst>Please cite these products as follows: USA National Phenology Network. Year of dataset access. Historical Annual First Leaf Index, North-Western Hemisphere, 1880-2013, USA-NPN, Tucson, Arizona, USA. Data set accessed YYYY-MM-DD at https://doi.org/10.5066/P9Z4C9LE</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>USA National Phenology Network</cntorg>\n <cntper>Theresa Crimmins</cntper>\n </cntorgp>\n <cntpos>Assistant Director</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1311 E 4th St</address>\n <city>Tucson</city>\n <state>AZ</state>\n <postal>85721</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>+1-520-621-8523</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>United States Geological Survey</datacred>\n <native>Operating System: Ubuntu 14.04.4 LTS (GNU/Linux 3.13.0-85-generic x86_64); WMS/WCS Implementation: Geoserver 2.8; Raster Data Housed in PostgreSQL 9.4.5</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>Data are provided as-is. No logical accuracy tests are performed beyond that done by the original data publishers.</logic>\n <complete>Data are provided as-is.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Berkeley Earth</origin>\n <pubdate>2016</pubdate>\n <title>Gridded Data, Average High Temperature and Average Low Temperature</title>\n <geoform>Raster Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Internet</pubplace>\n <publish>Berkley Earth</publish>\n </pubinfo>\n <onlink>http://berkeleyearth.org/data/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>18800101</begdate>\n <enddate>20131231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>BEST</srccitea>\n <srccontr>Used as base climate data from which to calculate the Spring Index values.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Download complete BEST Tmax and Tmin datasets for 1880 - 2013.</procdesc>\n <procdate>20161115</procdate>\n </procstep>\n <procstep>\n <procdesc>For each year, 1880 - 2013, loop through the available BEST data and calcuate the Spring Index values.</procdesc>\n <procdate>20160115</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Raster</direct>\n <rastinfo>\n <rasttype>Grid Cell</rasttype>\n <rowcount>90</rowcount>\n <colcount>180</colcount>\n <vrtcount>1</vrtcount>\n </rastinfo>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>1.0</latres>\n <longres>1.0</longres>\n <geogunit>Decimal seconds</geogunit>\n </geograph>\n <geodetic>\n <horizdn>D_North_American_1983</horizdn>\n <ellips>GRS_1980</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257222101</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Attribute Table</enttypl>\n <enttypd>Table containing attribute information associated with the data set.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Value</attrlabl>\n <attrdef>Extended Spring Index Value, predicting onset day of leafing</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>240</rdommax>\n <attrunit>day of year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Raster Digital Data Set Landing Page</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9Z4C9LE</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Lee Marsh</cntper>\n <cntorg>USA National Phenology Network</cntorg>\n </cntperp>\n <cntpos>IT Director</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1311 E 4th St</address>\n <city>Tucson</city>\n <state>AZ</state>\n <postal>85721</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>+1-520-621-8523</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Nebraska Water Science Center](/catalog/item/5bd8d921e4b0b3fc5cea24ef)
3. [Water Balance Monitoring Data for Two Biorentention Gardens in Omaha, Nebraska 2011-17](/catalog/item/5d7c0501e4b0c4f70d0437aa)
4. [ENOA--water balance events summary](/catalog/folder/5e1645abe4b0ecf25c57b124)
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## Dates
Publication Date2020-01-31Start Date2011-04-01End Date2017-11-01
## Citation
Strauch, K.R., 2020, Water Balance Monitoring Data for Two Biorentention Gardens in Omaha, Nebraska 2011-17: U.S. Geological Survey data release, https://doi.org/10.5066/P9TS1H1R.
## Summary
This tabular dataset includes precipitation data, inflow and outflow data, and other associated data for a bioretention garden in Douglas County, Nebraska. At the Eastern Nebraska Office on Aging (ENOA) bioretention garden the components of the water balance that were measured or calculated were precipitation volume, stormwater inflow volume to bioretention garden, were overflow volume, and evapotranspiration. The performance of the bioretention gardens was evaluated for a series of rainfall events. The start of an event was determined based on when rainfall began at the site. The end of an event was determined based on when the water level was equal to zero in the stilling well of the inflow flume or when the water level in the bioretention \[...\]
## Summary
This tabular dataset includes precipitation data, inflow and outflow data, and other associated data for a bioretention garden in Douglas County, Nebraska. At the Eastern Nebraska Office on Aging (ENOA) bioretention garden the components of the water balance that were measured or calculated were precipitation volume, stormwater inflow volume to bioretention garden, were overflow volume, and evapotranspiration. The performance of the bioretention gardens was evaluated for a series of rainfall events. The start of an event was determined based on when rainfall began at the site. The end of an event was determined based on when the water level was equal to zero in the stilling well of the inflow flume or when the water level in the bioretention garden was zero, whichever occurred last. Evapotranspiration components were not used in the event-based analysis because this analysis was used to characterize the reduction in stormwater volume and peak discharges to the storm sewer system primarily during time periods of overflow, and these components take place over longer time periods. Change in storage was also excluded from the event-based analyses because time periods were selected to represent rainfall events such that the change in storage of ponded water was always zero.
## Contacts
Point of Contact
:
[Kellan R Strauch](/catalog/catalogParty/show?partyId=10022)
Originator
:
[Kellan R Strauch](/catalog/catalogParty/show?partyId=10022)
Metadata Contact
:
[Kellan R Strauch](/catalog/catalogParty/show?partyId=10022)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[Nebraska Water Science Center](/catalog/catalogParty/show?partyId=17316)
USGS Mission Area
:
[Water Resources](/catalog/catalogParty/show?partyId=Water+Resources)
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| --- | --- | --- | --- |
| ENOA\_water\_balance\_events\_summary.xml<br>_Original FGDC Metadata_ | View | 13.47 KB | application/fgdc+xml |
| ENOA\_water\_balance\_events\_summary.csv | | 22.54 KB | text/csv |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Strauch, K.R., Rus, D.L., Holm, K.E., 2016, Water balance monitoring for two bioretention gardens in Omaha, Nebraska, 2011–14, U.S. Geological Survey Scientific Investigation Report 2015–5188, 19 p. | [https://doi.org/10.3133/sir20155188](https://doi.org/10.3133/sir20155188 "https://doi.org/10.3133/sir20155188") |
## Purpose
Data were collected to better understand the performance of bioretention gardens in facilitating infiltration of stormwater in eastern Nebraska
## [Map](/catalog/item/imap/5e1645abe4b0ecf25c57b124)
[](/catalog/item/imap/5e1645abe4b0ecf25c57b124)
## Communities
- USGS Nebraska Water Science Center
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [Best Management Practice](/catalog/items?q=&filter=tags%3DBest+Management+Practice "Best Management Practice (Best Management Practice, Theme, None)")
- [Bioretention](/catalog/items?q=&filter=tags%3DBioretention "Bioretention (Bioretention, Theme, None)")
- [Green Infrastructure](/catalog/items?q=&filter=tags%3DGreen+Infrastructure "Green Infrastructure (Green Infrastructure, Theme, None)")
- [Stormwater](/catalog/items?q=&filter=tags%3DStormwater "Stormwater (Stormwater, Theme, None)")
- [environment](/catalog/items?q=&filter=tags%3Denvironment "environment (environment, Theme, ISO 19115 Topic Category)")
- [inlandWaters](/catalog/items?q=&filter=tags%3DinlandWaters "inlandWaters (inlandWaters, Theme, ISO 19115 Topic Category)")
- [runoff](/catalog/items?q=&filter=tags%3Drunoff "runoff (runoff, Theme, USGS Thesaurus)")
- [watershed management](/catalog/items?q=&filter=tags%3Dwatershed+management "watershed management (watershed management, Theme, USGS Thesaurus)")
Place
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Strauch, Kellan R.</origin>\n <pubdate>20200131</pubdate>\n <title>ENOA--water balance events summary</title>\n <geoform>spreadsheet</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9TS1H1R</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Kellan R. Strauch</origin>\n <origin>David L. Rus</origin>\n <origin>Kent E. Holm</origin>\n <pubdate>2016</pubdate>\n <title>Water balance monitoring for two bioretention gardens in Omaha, Nebraska, 2011\xe2\x80\x9314</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/sir20155188</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This tabular dataset includes precipitation data, inflow and outflow data, and other associated data for a bioretention garden in Douglas County, Nebraska. At the Eastern Nebraska Office on Aging (ENOA) bioretention garden the components of the water balance that were measured or calculated were precipitation volume, stormwater inflow volume to bioretention garden, were overflow volume, and evapotranspiration. The performance of the bioretention gardens was evaluated for a series of rainfall events. The start of an event was determined based on when rainfall began at the site. The end of an event was determined based on when the water level was equal to zero in the stilling well of the inflow flume or when the water level in the bioretention garden was zero, whichever occurred last. Evapotranspiration components were not used in the event-based analysis because this analysis was used to characterize the reduction in stormwater volume and peak discharges to the storm sewer system primarily during time periods of overflow, and these components take place over longer time periods. Change in storage was also excluded from the event-based analyses because time periods were selected to represent rainfall events such that the change in storage of ponded water was always zero.</abstract>\n <purpose>Data were collected to better understand the performance of bioretention gardens in facilitating infiltration of stormwater in eastern Nebraska</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20110401</begdate>\n <enddate>20171101</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-95.9776005</westbc>\n <eastbc>-95.9759885</eastbc>\n <northbc>41.2414305</northbc>\n <southbc>41.2408355</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>environment</themekey>\n <themekey>inlandWaters</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Bioretention</themekey>\n <themekey>Stormwater</themekey>\n <themekey>Best Management Practice</themekey>\n <themekey>Green Infrastructure</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>runoff</themekey>\n <themekey>watershed management</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5e1645abe4b0ecf25c57b124</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>Omaha NE</placekey>\n <placekey>Douglas County</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Kellan R Strauch</cntper>\n <cntorg>MIDCONTINENT REGION: NEBRASKA WATER SCI CTR</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>5231 South 19th Street</address>\n <city>Lincoln</city>\n <state>NE</state>\n <postal>68512</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>402-328-4181</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Data were collected through a cooperative study between the U.S. Geological Survey, Douglas County Environmental Services, and the Nebraska Environmental Trust.</datacred>\n <crossref>\n <citeinfo>\n <origin>Healy, R.W.</origin>\n <origin>Winter, T.C.</origin>\n <origin>LaBaugh, J.W.</origin>\n <origin>Franke, O.L.</origin>\n <pubdate>2007</pubdate>\n <title>Water Budgets: Foundations for Effective Water-Resources and Environmental Management</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Circular</sername>\n <issue>1308</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://pubs.usgs.gov/circ/2007/1308/</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2019</pubdate>\n <title>USGS water data for the Nation: U.S. Geological Survey National Water Information System database</title>\n <geoform>application/service</geoform>\n <onlink>https://doi.org/10.5066/F7P55KJN</onlink>\n <onlink>https://waterdata.usgs.gov/nwis/inventory/?site_no=411429095583801 &agency_cd=USGS</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>Conversion from flow rate to a volume</procstep>\n <procstep>Calculation of subsurface storage</procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>ENOA_WaterBalance_events_summary.csv</enttypl>\n <enttypd>Comma separated value (csv) file containing data.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Start Date Time</attrlabl>\n <attrdef>The start date and time of rainfall event</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5/12/2011 00:30:00</rdommin>\n <rdommax>5/12/2011 01:45:00</rdommax>\n <attrunit>Central Daylight Time</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>End Date Time</attrlabl>\n <attrdef>The end date and time of rainfall event</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5/12/2011 1:45</rdommin>\n <rdommax>10/20/2016 1:48</rdommax>\n <attrunit>Central Daylight Time</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Precipitation</attrlabl>\n <attrdef>Total event precipitation</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>4.93</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Precipitation Volume</attrlabl>\n <attrdef>Total event precipitation volume flowing into bioretention garden, which was calculated by taking the event precipitation (converted to feet) and multiplying it by the cell surface area (2900 square feet)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>8052.6</rdommax>\n <attrunit>cubic feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Inflow Volume</attrlabl>\n <attrdef>Stormwater inflow volume into the bioretention gardens was measured using a Parshall flume</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>6511.2</rdommax>\n <attrunit>cubic feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total Volume In</attrlabl>\n <attrdef>Total volume of water into the bioretention garden (Inflow volume + Precipitation volume)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>14563.8</rdommax>\n <attrunit>cubic feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Outflow Volume</attrlabl>\n <attrdef>Overflow volume of standpipe flowing out of bioretention garden</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>0</rdommax>\n <attrunit>cubic feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Subsurface storage</attrlabl>\n <attrdef>Water stored in soil media under the bioretention garden (this includes any losses to infiltration, such as water that leaves the bottom of the rain garden and moves to the water table or out of the system horizontally) which was calculated as the residual of the sum of all other water balance components.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0</rdommin>\n <rdommax>14563.8</rdommax>\n <attrunit>cubic feet</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9TS1H1R</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>none</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200824</metd>\n <metc>\n <cntinfo>\n <cntorgp>\n <cntorg>MIDCONTINENT REGION: NEBRASKA WATER SCI CTR</cntorg>\n <cntper>Nebraska Water Science Center</cntper>\n </cntorgp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>5231 South 19th Street</address>\n <city>Lincoln</city>\n <state>NE</state>\n <postal>68512</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>402-328-4100</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2017-06-13Start Date1995End Date2013
## Citation
Lovich, J.E., Ennen, J.R., Averill-Murray, R.C., and Agha, Mickey, 2017, Desert tortoise reproductive ecology and precipitation, Mojave and Sonoran Deserts—Data: U.S. Geological Survey data release, https://doi.org/10.5066/F7JS9NN9.
## Summary
Estimated precipitation data were compiled using the WestMap web site (http://www.cefa.dri.edu/Westmap/) from 1995-2013. We selected pixels on the map shown on their web site that were in the core of our study areas: one near Palm Springs, California and the other at Sugarloaf Mountain in the Tonto National Forest of Arizona. WestMap uses PRISM data to make point measurements of climate data and a digital elevation model of terrain to create estimates of monthly climate elements. Estimates are derived for a 4km grid, for ease in mapping and GIS applications. PRISM is an integrated set of rules, decision making, and calculations designed to imitate the process an expert climatologist would go through when mapping climate data. We were \[...\]
## Summary
Estimated precipitation data were compiled using the WestMap web site (http://www.cefa.dri.edu/Westmap/) from 1995-2013. We selected pixels on the map shown on their web site that were in the core of our study areas: one near Palm Springs, California and the other at Sugarloaf Mountain in the Tonto National Forest of Arizona. WestMap uses PRISM data to make point measurements of climate data and a digital elevation model of terrain to create estimates of monthly climate elements. Estimates are derived for a 4km grid, for ease in mapping and GIS applications. PRISM is an integrated set of rules, decision making, and calculations designed to imitate the process an expert climatologist would go through when mapping climate data. We were interested in precipitation data for two hydroperiods: winter precipitation (October-March) and summer precipitation (June-September). These two periods are important for desert tortoise ecology since they trigger germination of food plants in the spring and in the summer.
## Contacts
Point of Contact
:
[Josh Ennen](/catalog/catalogParty/show?partyId=Josh+Ennen)
Originator
:
[Joshua R. Ennen](/catalog/catalogParty/show?partyId=Joshua+R.+Ennen),
[Jeffrey E. Lovich](/catalog/catalogParty/show?partyId=Jeffrey+E.+Lovich),
[Roy C. Averill-Murray](/catalog/catalogParty/show?partyId=Roy+C.+Averill-Murray),
[Mickey Agha](/catalog/catalogParty/show?partyId=Mickey+Agha)
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[Terence Arundel](/catalog/catalogParty/show?partyId=Terence+Arundel)
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[Southwest Biological Science Center](/catalog/catalogParty/show?partyId=17423)
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| USGS\_2017\_JLovich\_Ecology\_Evolution\_Precipitation\_Data.xml | | 53.25 KB | application/xml |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Ennen, J.R., J.E. Lovich, R.C. Averill-Murray, C.B. Yackulic, M. Agha, C. Loughran, L. Tennant, and B. Sinervo, 2017, The evolution of different maternal investment strategies in two closely related desert vertebrates, Ecology and Evolution. v. (online) doi: 10.1002/ece3.2838, http://dx.doi.org/10.1002/ece3.2838. | [https://dx.doi.org/10.1002/ece3.2838](https://dx.doi.org/10.1002/ece3.2838 "https://dx.doi.org/10.1002/ece3.2838") |
## Purpose
The purpose of the tortoise data are to compare and contrast the reproductive strategies of the two species relative to their environments and test theories related to reproductive investment related to egg size and clutch size/frequency. The purpose of the precipitation data are to understand the influence of the amount and timing (e.g., winter or summer) of precipitation on egg width and variability. We collected monthly precipitation from two biologically important periods (i.e., winter and summer) for each site. We collected winter precipitation (October-March) because germination of annual plants, which are staples in tortoise diets, in the Mojave and Sonoran Deserts are associated with timing and quantity of winter precipitation. Both timing and amount of winter precipitation are associated with reproductive output in both species. We collected summer precipitation (i.e., June-September) as a variable associated with environmental conditions experienced by eggs and hatchlings.
## Rights
The authors of these data request that data users contact them regarding intended use and to assist with understanding limitations and interpretation. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.
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## Provenance
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## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F7JS9NN9 |
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Build Version: 2.184.0-630-gc5d79ac-0
(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Joshua R. Ennen</origin>\n <origin>Jeffrey E. Lovich</origin>\n <origin>Roy C. Averill-Murray</origin>\n <origin>Mickey Agha</origin>\n <pubdate>2017</pubdate>\n <title>Desert Tortoise Ecology and Precipitation, Mojave and Sonoran Deserts\xe2\x80\x94Data</title>\n <geoform>XML workbook</geoform>\n <pubinfo>\n <pubplace>Flagstaff, AZ</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7JS9NN9</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Joshua R. Ennen</origin>\n <origin>Jeffrey E. Lovich</origin>\n <origin>Roy C. Averill-Murray</origin>\n <origin>Charles B. Yackulic</origin>\n <origin>Mickey Agha</origin>\n <origin>Caleb Loughran</origin>\n <origin>Laura Tennant</origin>\n <origin>Barry Sinervo</origin>\n <pubdate>2017</pubdate>\n <title>The Evolution of Different Maternal Investment Strategies in Two Closely Related Desert Vertebrates</title>\n <geoform>Journal manuscript</geoform>\n <pubinfo>\n <pubplace>Wiley Online Library, http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2045-7758</pubplace>\n <publish>Ecology and Evolution</publish>\n </pubinfo>\n <onlink>https://dx.doi.org/10.1002/ece3.2838</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>These estimated precipitation data were compiled using the WestMap web site (http://www.cefa.dri.edu/Westmap/). We selected pixels on the map shown on their web site that were in the core of our study areas: one near Palm Springs, California and the other at Sugarloaf Mountain in the Tonto National Forest of Arizona. WestMap uses PRISM data to make point measurements of climate data and a digital elevation model of terrain to create estimates of monthly climate elements. Estimates are derived for a 4km grid, for ease in mapping and GIS applications. PRISM is an integrated set of rules, decision making, and calculations designed to imitate the process an expert climatologist would go through when mapping climate data. We were interested in precipitation data for two hydroperiods: winter precipitation (October-March) and summer precipitation (June-September). These two periods are important for desert tortoise ecology since they trigger germination of food plants in the spring and in the summer.</abstract>\n <purpose>The purpose of these data are to understand the influence of the amount and timing (e.g., winter or summer) of precipitation on egg width and variability. We collected monthly precipitation from two biologically important periods (i.e., winter and summer) for each site. We collected winter precipitation (October-March) because germination of annual plants, which are staples in tortoise diets, in the Mojave and Sonoran Deserts are associated with timing and quantity of winter precipitation. Both timing and amount of winter precipitation are associated with reproductive output in both species. We collected summer precipitation (i.e., June-September) as a variable associated with environmental conditions experienced by eggs and hatchlings.</purpose>\n <supplinf>X-ray images cannot easily be used to measure actual egg sizes or anatomical dimensions due to magnification error. This is because the image being measured is not always on the same plane as the film or X-ray detector. As a result, we use \xe2\x80\x9cX-ray egg width\xe2\x80\x9d and \xe2\x80\x9cX-ray pelvic aperture width\xe2\x80\x9d, as is the convention in the scientific literature, with no attempt to correct for magnification error (see Graham, T. E., and P. J. Petokas. 1989. Correcting for magnification when taking measurements directly from radiographs. Herpetol. Rev. 20: 46\xe2\x80\x9347.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>1995</begdate>\n <enddate>2013</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-116.665921</westbc>\n <eastbc>-111.51667</eastbc>\n <northbc>33.951556</northbc>\n <southbc>33.6833</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>Seasonal precipitation</themekey>\n <themekey>Summer precipitation</themekey>\n <themekey>Winter precipitation</themekey>\n <themekey>PRISM data</themekey>\n <themekey>WestMap Climate Analysis & Mapping Toolbox</themekey>\n <themekey>Carapace length</themekey>\n <themekey>Clutch size</themekey>\n <themekey>Desert tortoise eggs</themekey>\n <themekey>Egg width</themekey>\n <themekey>X-ray pelvic aperture width</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:58c01bece4b014cc3a3bb6a5</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Arizona</placekey>\n <placekey>California</placekey>\n <placekey>Mojave Desert</placekey>\n <placekey>Palm Springs</placekey>\n <placekey>San Gorgonio Pass</placekey>\n <placekey>Sonoran Desert</placekey>\n <placekey>Sugarloaf Mountain</placekey>\n <placekey>Tonto National Forest</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Josh Ennen</cntper>\n <cntorg>Tennessee Aquarium</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>175 Baylor School Road</address>\n <city>Chattanooga</city>\n <state>TN</state>\n <postal>37405</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>423-785-3071</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Funding and assistance with data collection were provided by the Bureau of Land Management, Arizona Department of Game and Fish, Joshua Tree National Park, and grants from the U.S. Fish and Wildlife Service (USFWS) and National Fish and Wildlife Foundation\xe2\x80\x99s Partnerships for Wildlife program, and the National Science Foundation.</datacred>\n <crossref>\n <citeinfo>\n <origin>T. E. Graham</origin>\n <origin>P. J. Petokas</origin>\n <pubdate>1989</pubdate>\n <title>Correcting for magnification when taking measurements directly from radiographs</title>\n <pubinfo>\n <pubplace>Ask Jeff</pubplace>\n <publish>Herpetological Review</publish>\n </pubinfo>\n <onlink>NA</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Data Acquisition/Collection and Data Entry - Tortoise Data: At both sites, we used time-area constrained searches to locate females, and we attached radio transmitters (Model R1540, Advanced Telemetry Systems, Inc., Isanti Minnesota or Wildlife Materials) to every adult female tortoise captured. We then located tortoises every 3-10 days during April through early August for X-radiography. X-radiographs were collected using a Min-Xray (HF-80 or TR-80, Northbrook, Illinois) with 3M Rare Earth (3M, St. Paul, Minnesota) or Custom X-Ray Imaging Services (Phoenix, Arizona) cassettes, or a digital Canon X-radiograph system (Melville, New York). We used Kodak, Imation, or Custom X-Ray film. X-radiograph exposures ranged from 60-65 kV for 0.08-0.24 seconds, depending on film or detector requirements. \nUpon initial capture and for subsequent first annual relocation events, we recorded straight-line carapace length along the medial axis (CL; measured in mm) for each individual. From the X-radiographs, we measured X-ray egg widths (XREW), clutch size (CS), clutch number (first clutch - CN1, second clutch - CN2, or third clutch - CN3), and X-ray pelvic aperture width (here after pelvic aperture width). Widths of eggs and the inside of the pelvic aperture were measured (mm) directly from films with dial calipers or from digital images using the measurement tool in K-PACS viewing software (http://www.k-pacs.net/; accuracy \xc2\xb1 0.1 mm). This measurement likely overestimates pelvic aperture width by a small amount as it does not include surrounding soft tissue that is radio-transparent. Our measurement is consistent with other studies that examine morphological constraints on egg width in turtles. We calculated mean X-ray egg width (hereafter mean egg width) per clutch per female. We calculated the coefficient of variation (CV) for clutch size and intra- and interclutch egg width within and among clutches. Intraclutch CV was calculated within a clutch of eggs in both species. Interclutch CV was calculated from the mean egg widths among all clutches within each CN1, CN2, and CN3 for G. agassizii and among years for G. morafkai. However, our dispersion measurement is, in general, unreliable especially for the intra-clutch calculations of smaller clutch sizes (e.g., 1, 2, and 3). Therefore, in our model selection analyses investigating CV of egg width within a clutch (intraclutch) in both species, we removed all clutches with less than four eggs. Our final sample size was 98 clutches for G. agassizii and 140 clutches for G. morafkai for our analyses.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n <procstep>\n <procdesc>Data Acquisition/Collection Data Entry - WestMap Data: We investigated the influence of the amount and timing (e.g., winter or summer) of precipitation on egg width and variability for several reasons. First, reproductive output, in theory (e.g., dynamic bet-hedging or a plastic response), could be influenced by resource availability (e.g., plant productivity and water availability) for herbivores like tortoises, and secondly, reproductive output could be influenced by the female\'s response to unpredictability of the environment experienced by offspring after hatching. We collected monthly precipitation from two biologically important periods (i.e., winter and summer) for each site. We collected winter precipitation (October-March) because germination of annual plants, which are staples in tortoise diets, in the Mojave and Sonoran Deserts are associated with timing and quantity of winter precipitation. Both timing and amount of winter precipitation are associated with reproductive output in both species. We collected summer precipitation (i.e., June-September) as a variable associated with environmental conditions experienced by eggs and hatchlings. We estimated precipitation variables by averaging monthly precipitation totals within each period. We used WestMap (http://www.cefa.dri.edu/Westmap/Westmap_home.php) to collect estimated short-term precipitation variables from each study site. The variables included mean winter precipitation of the prior three years (w.ppt) and mean summer precipitation of the current and prior two years (su.ppt). All precipitation values were collected in centimeters (cm). \nWe downloaded precipitation values using WestMap (http://www.cefa.dri.edu/Westmap/Westmap_home.php) for two time periods, Oct-Mar and Jun-Sep to collect estimated short-term precipitation from each study site. In WestMap, we entered the GIS coordinates for each study site (MESA - 33.951556, -116.665921; Sugarloaf Mountains \xe2\x80\x93 33.6833, -111.517) and defined the time period by the number of months of interest (e.g., 6 or 4) and entered the last month of the time period (e.g., Mar and Sep). The WestMap climate analysis and mapping toolbox uses PRISM (parameter-elevation regressions on independent slopes model) to determine climate at grid cells and project regional monthly weather values (precipitation) for a target location by grid cell (i.e., GPS location). Each grid cell estimate is determined by using data from many nearby climate stations, in closest proximity to the selected grid cell. These data can be collected over the available period of record, based on weather station availability, and averaged over 30 day periods, months and years. The climate mapping program produces the highest-quality spatial climate data sets currently available. Details of the program are at Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K., Taylor, G.H., Curtis, J., and Pasteris, P.A. 2008. Physiographically-sensitive mapping of temperature and precipitation across the conterminous United States. International Journal of Climatology, DOI: 10.1002/joc.1688. (available in PDF format at http://www.prism.oregonstate.edu/docs/index.phtml). \nFor our study we collected mean winter precipitation of the prior three years (w.ppt) and mean summer precipitation of the current and prior two years (su.ppt). All precipitation values were collected in centimeters (cm).The output from WestMap was organized with "Year" and "Value" as separate columns. The "Value" represented the precipitation value measured in inches for the designated time period of a particular site. The data output (precipitation data) from WestMap was then cut and pasted into Excel in a tab labeled Precip_Data. The date was organized in Excel into 4 outputs, Mesa Oct-Mar, Meas Jun-Sep, Sugarloaf Oct-Mar, Sugarloaf Jun-Sep. Because precipitation values were exported in inches, we converted these values into centimeters. \nFieldwork was completed at Mesa in 2013; while fieldwork was completed at Sugarloaf in 2005. Precipitation data was collected from WestMap in 2015.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n <procstep>\n <procdesc>Data Processing: Tortoise data were entered onto data sheets and then into Excel spreadsheets. In addition, measurements of estimated egg width and pelvic aperture width were measured with dial calipers on X-ray film or using the K-PACS measuring tool for digital X-rays. Statistical analyses were conducted using the program R. Precipitation data were downloaded directly from WestMap into Excel spreadsheets.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n <procstep>\n <procdesc>Data Quality Assessment and Control: Technicians proofed the data on tortoises by checking copy on data sheets against Excel files. Precipitation data were downloaded directly from WestMap into Excel spreadsheets and not proofed.</procdesc>\n <procdate>2015</procdate>\n </procstep>\n <procstep>\n <procdesc>Finalize Workbook for Dissemination: Data sent to the Southwest Biological Science Center Data Steward for dissemination and preservation per USGS Data Management Policies SM 502.6, SM 502.7, SM 502.8 and SM 502.9 (1 October 2016). SBSC Data Steward created 3 additional worksheets (Workbook Metadata, Column Metadata, and Manuscript and Data) and populated with metadata information about the data contained in the EXCEL workbook.</procdesc>\n <procdate>2017</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <direct>Point</direct>\n </spdoinfo>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Tortoise Data</enttypl>\n <enttypd>These data represent information on body size and reproductive output of both Agassiz\'s and Morafka\'s desert tortoises. Information presented include data on carapace length of individual females, size of their clutches of eggs, the number of clutches produced in a year, egg widths and the size of the pelvic aperture width in females through which eggs have to pass during oviposition by the female.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>SITE</attrlabl>\n <attrdef>Names of two study sites</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Study site locations. The MESA wind energy facility near Palm Springs, CA and Sugarloaf Mountain in the Tonto National Forest of, Arizona.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TORT_ID</attrlabl>\n <attrdef>Unique numeric identification number assigned to each tortoise individual</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>150</rdommax>\n <attrunit>Dimensionless number</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CARAPACE_LENGTH</attrlabl>\n <attrdef>Straight-line length of the carapace, or upper shell of the tortoise, measured along the midline</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>215</rdommin>\n <rdommax>362</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>YEAR</attrlabl>\n <attrdef>Year data was collected</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1997</rdommin>\n <rdommax>2013</rdommax>\n <attrunit>Year</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CLUTCH_NO</attrlabl>\n <attrdef>Order of multiple clutches produced by a single female each year</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>3</rdommax>\n <attrunit>Dimensionless number</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>CLUTCH SIZE</attrlabl>\n <attrdef>Number of eggs produced in a discrete clutch of eggs by a female</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>10</rdommax>\n <attrunit>Dimensionless number</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>AP WIDTH</attrlabl>\n <attrdef>Greatest width of the pelvic aperture (AP) opening in each female. This is the portal through which eggs have to pass during oviposition.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>45</rdommin>\n <rdommax>6305</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EGG_WIDTH_1</attrlabl>\n <attrdef>Greatest width of the first egg measured in a clutch. Measurements were made with dial calipers if measured from film xradiographs, or using digital software if xradiographs were made with digital x-ray equipment.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>30.99</rdommin>\n <rdommax>45</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EGG_WIDTH_2</attrlabl>\n <attrdef>Greatest width of the second egg measured in a clutch. Measurements were made with dial calipers if measured from film xradiographs, or using digital software if xradiographs were made with digital x-ray equipment.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>32</rdommin>\n <rdommax>43.8</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EGG_WIDTH_3</attrlabl>\n <attrdef>Greatest width of the third egg measured in a clutch. Measurements were made with dial calipers if measured from film xradiographs, or using digital software if xradiographs were made with digital x-ray equipment.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>32</rdommin>\n <rdommax>44.2</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EGG_WIDTH_4</attrlabl>\n <attrdef>Greatest width of the fourth egg measured in a clutch. Measurements were made with dial calipers if measured from film xradiographs, or using digital software if xradiographs were made with digital x-ray equipment.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>31</rdommin>\n <rdommax>44.5</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EGG_WIDTH_5</attrlabl>\n <attrdef>Greatest width of the fifth egg measured in a clutch. Measurements were made with dial calipers if measured from film xradiographs, or using digital software if xradiographs were made with digital x-ray equipment.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>34</rdommin>\n <rdommax>43.9</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EGG_WIDTH_6</attrlabl>\n <attrdef>Greatest width of the six egg measured in a clutch. Measurements were made with dial calipers if measured from film xradiographs, or using digital software if xradiographs were made with digital x-ray equipment.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>36.2</rdommin>\n <rdommax>44.65</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EGG_WIDTH_7</attrlabl>\n <attrdef>Greatest width of the seventh egg measured in a clutch. Measurements were made with dial calipers if measured from film xradiographs, or using digital software if xradiographs were made with digital x-ray equipment.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>35.4</rdommin>\n <rdommax>44.2</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EGG_WIDTH_8</attrlabl>\n <attrdef>Greatest width of the eigth egg measured in a clutch. Measurements were made with dial calipers if measured from film xradiographs, or using digital software if xradiographs were made with digital x-ray equipment.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>35.9</rdommin>\n <rdommax>42.1</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EGG_WIDTH_9</attrlabl>\n <attrdef>Greatest width of the ninth egg measured in a clutch. Measurements were made with dial calipers if measured from film xradiographs, or using digital software if xradiographs were made with digital x-ray equipment.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>37.75</rdommin>\n <rdommax>41.6</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>EGG_WIDTH_10</attrlabl>\n <attrdef>Greatest width of the tenth egg measured in a clutch. Measurements were made with dial calipers if measured from film xradiographs, or using digital software if xradiographs were made with digital x-ray equipment.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>37.5</rdommin>\n <rdommax>37.5</rdommax>\n <attrunit>millimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Precipitation</enttypl>\n <enttypd>These data represent estimated precipitation amounts for both study sites (one in California and one in Arizona) using WestMap (http://www.cefa.dri.edu/Westmap/Westmap_home.php) based on PRISM. The PRISM Climate Group gathers climate observations from a wide range of monitoring networks, applies sophisticated quality control measures, and develops spatial climate datasets to reveal short- and long-term climate patterns. WestMap uses PRISM point measurements of climate data and a digital elevation model of terrain to create estimates of monthly climate elements. We were interested in two periods of preciptiation estimates for each year of our study (1997-2013): winter precipitation (October-March) and summer precipitation (June-September) since these affect germinationa of food plants for tortoises.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Location</attrlabl>\n <attrdef>Names of two study sites</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Study site locations. The MESA wind energy facility near Palm Springs, CA and Sugarloaf Mountain in the Tonto National Forest of, Arizona.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>YEAR</attrlabl>\n <attrdef>Year for the data</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1997</rdommin>\n <rdommax>2013</rdommax>\n <attrunit>Year - yyyy</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>w.ppt.3</attrlabl>\n <attrdef>Total estimated winter precipitation for each year of study from October-March</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>11.64166667</rdommin>\n <rdommax>28.33793333</rdommax>\n <attrunit>centimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>su.ppt.3</attrlabl>\n <attrdef>Total estimated summer precipitation for each year of study from June-September</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.575733333</rdommin>\n <rdommax>11.69246667</rdommax>\n <attrunit>centimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>w.ppt</enttypl>\n <enttypd>These data represent winter precipitation estimates for the period from October-March of each study year</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Location</attrlabl>\n <attrdef>Names of two study sites</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Study site locations. The MESA wind energy facility near Palm Springs, CA and Sugarloaf Mountain in the Tonto National Forest of, Arizona.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>YEAR</attrlabl>\n <attrdef>Year for the data</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1995</rdommin>\n <rdommax>2013</rdommax>\n <attrunit>Year - yyyy</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>VALUE (in)</attrlabl>\n <attrdef>Winter precipitation (October-March) measured in inches</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.29</rdommin>\n <rdommax>16.82</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Value (cm)</attrlabl>\n <attrdef>Winter precipitation (October-March) measured in centimeters</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3.2766</rdommin>\n <rdommax>42.7228</rdommax>\n <attrunit>centimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>su.ppt</enttypl>\n <enttypd>These data represent summer precipitation estimates for the period from June-September of each study year</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Location</attrlabl>\n <attrdef>Names of two study sites</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Study site locations. The MESA wind energy facility near Palm Springs, CA and Sugarloaf Mountain in the Tonto National Forest of, Arizona.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>YEAR</attrlabl>\n <attrdef>Year for the data</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1995</rdommin>\n <rdommax>2013</rdommax>\n <attrunit>Year - yyyy</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>VALUE (in)</attrlabl>\n <attrdef>Summer precipitation (June-September) measured in inches</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.02</rdommin>\n <rdommax>6.78</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Value (cm)</attrlabl>\n <attrdef>Summer precipitation (June-September) measured in centimeters</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.0508</rdommin>\n <rdommax>17.2212</rdommax>\n <attrunit>centimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey - ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>The authors of these data request that data users contact them regarding intended use and to assist with understanding limitations and interpretation. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Terence Arundel</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2255 North Gemini Drive</address>\n <city>Flagstaff</city>\n <state>AZ</state>\n <postal>86001</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>928-556-7174</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2019-05-15
## Citation
Barker, S.J., Van Eaton, A.R., Mastin, L.G., Wilson, C.J.N., Thompson, M.A., Wilson, T.M., Davis, C., and Renwick, J.A., 2019, Data repository to Modeling ash dispersal from future eruptions of Taupo supervolcano, by S.J. Barker et al: U.S. Geological Survey data release, https://doi.org/10.5066/P9VCPQ3I.
## Summary
CONTENTS OF THIS DATA RELEASE This data release contains supplementary material to the Geochistry, Geophysics, Geosystems article: "Modeling ash dispersal from future eruptions of Taupo supervolcano", by S.J. Barker et al. This paper uses Ash3d model simulations to calculate the probability of tephra inundation from eruptions of the following sizes: 0.1 km3, 1 km3, 5 km3, 50 km3, and 500 km3. All volume cases were modeled with umbrella cloud formation, with additional Ash3d simulations also run for the case of a 0.1 km3 eruption assuming no development of an umbrella cloud. One thousand model simulations were run for each of these cases. Other source parameters used for these simulations are described in the paper. The data \[...\]
## Summary
CONTENTS OF THIS DATA RELEASE
This data release contains supplementary material to the _Geochistry, Geophysics, Geosystems_ article:
"Modeling ash dispersal from future eruptions of Taupo supervolcano", by S.J. Barker et al.
This paper uses Ash3d model simulations to calculate the probability of tephra inundation from eruptions of the following sizes: 0.1 km3, 1 km3, 5 km3, 50 km3, and 500 km3. All volume cases were modeled with umbrella cloud formation, with additional Ash3d simulations also run for the case of a 0.1 km3 eruption assuming no development of an umbrella cloud. One thousand model simulations were run for each of these cases. Other source parameters used for these simulations are described in the paper.
The data release contains model output from each of the simulations. The results are contained in separate zip files, one for each case. Zip files are named for the eruption size modeled (e.g. "0.1km3", "1km3", "5km3" etc).
Each zip file contains similar contents. Below are the contents of the 0.1km3 zip file, for illustration (note that a "d" in the left column indicates a directory):
d directory or filename Description
\-\-\-----------------------------------------------------------------------------------------------------------------------------------------------------
d 0.1km3 Output of 0.1km3 runs
0.1km3/0.1km3\_simulations\_Kidson\_type.txt Percent Kidson types for each simulation
0.1km3/City\_thicknesses.txt Thicknesses at major cities for each run
d 0.1km3/zip\_files zip files of output from each run
0.1km3/zip\_files/Run0001.zip zip file containing output for run #1
0.1km3/zip\_files/Run0002.zip zip file containing output for run #2
0.1km3/zip\_files/Run0003.zip zip file containing output for run #3
0.1km3/zip\_files/Run0004.zip zip file containing output for run #4
The folder "zip\_files" contains 1,000 zipped files, one for each model simulation. They have the following contents:
File Name Description
\-\-\---------------------------------------------------------------------------------------------------
ash\_arrivaltimes\_airports.kmz kmz file showing ash arrival times at airports
ash\_arrivaltimes\_airports.txt Text file listing ash arrival times at airports
DepositArrivalTimes.txt Text file listing deposit arrival times at airports
DepositFile\_ESRI\_ASCII.txt ESRI-ASCII gridded text file of deposit thickness (mm)
Deposit.kmz kmz file of deposit thickness, can be opened in Google Earth
deposit\_thickness\_mm.gif gif map of deposit thickness (mm)
\\*\\*\\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*
FORMAT OF DepositFile\_ESRI\_ASCII.txt
This gridded ascii file contains deposit thickness at each node in the model domain. The file
contains a header that looks like this:
+++++++++++++++++++++++++++++++++++++++
NCOLS 120
NROWS 60
XLLCORNER 160.000
YLLCORNER -47.500
CELLSIZE 0.250
NODATA\_VALUE 0.000
+++++++++++++++++++++++++++++++++++++++
where NCOLS is the number of columns in the grid
NROWS is the number of rows in the grid
XLLCORNER is the longitude of the center of the lower-left (most southwest) node
YLLCORNER is the latitude of the center of the lower-left (most southwest) node
CELLSIZE is the spacing (degrees) between nodes
NODATA\_VALUE is the value where there are no data
This header is followed by the gridded data, written in 10f10.3 format (10 numbers per row,
each number occupying 10 spaces with three digits to the right of the decimal). Each
row in the model could occupy several rows in the file due to the limitation of 10
numbers per row in the file. The first row is the southernmost row.
\\*\\*\\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*
FORMAT OF DepositArrivalTimes.txt
This is a gridded ascii file of the arrival time of the deposit at each node in the model. The
deposit arrival time is given in hours after the eruption start. The file format is exactly the same
as that of DepositFile\_ESRI\_ASCII.txt. It should be noted that the NODATA\_VALUE is incorrectly
given as -1.000. The NODATA\_VALUE is actually -9999.0. This is the value given at each node if
ash never arrived at that node during the simulation.
\\*\\*\\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*
FORMAT OF ash\_arrivaltimes\_airports.txt
This ascii file contains a table of ash arrival times at airports. An example of the first few lines of one file is:
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
ARRIVAL TIME OF ASH IN AREA MODELED BY ASH3D
simulation using input file: iwf25\_Taupo\_ESP.inp
Model run date: 2016.12.21, time UTC: 22:46
\-\-\-----------------------------------------------------------------------------------------------
SOURCE PARAMETERS FOR SIMULATION OF: Taupo run \|
Pulse start time Duration Plume height volume \|
UTC hrs km feet km3 \|
1 2002-05-25T16:52:00Z 24.00 20.0 65616. 5.00000 \|
\-\-\------------------------------------------------------------------------------------------------
\-\-\---------------------------------------------------------------------------------------------------------------------------------
LOCATION \| CLOUD \|
\| \|
\| \|
(Airport code & ) Place name Latitude Longitude \| Cloud Arrival Time Duration \|
\| hrs after \|
\| date/time UTC start hrs \|
Pakatoa, N.Z., New Zealand -37.8069 174.8533 \| 2002-05-26T01:47:00Z 8.92 15.95 \|
Coromandel, New Zealand -36.7933 175.5167 \| 2002-05-26T16:05:00Z 23.22 0.82 \|
Whakatane, New Zealand -37.9222 176.9139 \| 2002-05-25T16:53:00Z 0.03 26.70 \|
Wanganui, New Zealand -39.9667 175.0242 \| 2002-05-26T10:34:00Z 17.70 6.50 \|
. . .
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
--Line 2 gives the name of the original input file used (this was changed to ash3d\_input.txt after the simulation);
--Line 3 gives the date and time of the simulations
--Lines 5-10 summarize the key eruption source parameters
--Lines 12 and onward give a table of arrival times, durations, and deposit thicknesses at all airports in the model domain that received ash. The columns in this table are the airport name, latitude, longitude, the time of arrival of the cloud in year-month-day-hour (UTC), the arrival time in hours after the eruption start, the number of hours the cloud remained overhead, the time when ash started falling at a given location (in year-month-day-hour UTC and in hours after the eruption start), the number of hours during which ash fell, the deposit thickness, and the National Weather Service ranking of deposit thickness (e.g. trace, minor, substantial, heavy).
(The right columns of the table had to be truncated in this explanation).
\\*\\*\\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*
FORMAT OF KMZ files
Files with the .kmz suffix are in zipped keyhole markup language and can be opened in Google Earth(R)\*
Details on the contents of these files can be found on pages 19-22 of Mastin et al. (2013).
\*use of trade names does not imply endorsement of these products
\\*\\*\\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*
Reference:
Mastin, L.G., Randall, M., J., Schwaiger, H. and Denlinger, R., 2013. User's Guide and Reference to Ash3d: A Three-Dimensional Model for Atmospheric Tephra Transport and Deposition, U.S. Geological Survey Open-File Report 2013-1122, pp. 48. http://pubs.er.usgs.gov/publication/ofr20131122
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## Contacts
Originator
:
[Larry G Mastin](/catalog/catalogParty/show?partyId=6582),
[Alexa R Van Eaton](/catalog/catalogParty/show?partyId=62653),
[Simon J Barker](/catalog/catalogParty/show?partyId=Simon+J+Barker),
[Colin J N Wilson](/catalog/catalogParty/show?partyId=Colin+J+N+Wilson),
[Thomas Wilson](/catalog/catalogParty/show?partyId=Thomas+Wilson),
[Mary Ann Thompson](/catalog/catalogParty/show?partyId=Mary+Ann+Thompson),
[Cory Davis](/catalog/catalogParty/show?partyId=58523),
[James Renwick](/catalog/catalogParty/show?partyId=James+Renwick)
SDC Data Owner
:
[Volcano Hazards Program Office](/catalog/catalogParty/show?partyId=17168)
USGS Mission Area
:
[Natural Hazards](/catalog/catalogParty/show?partyId=64240)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5cdd9ed7e4b029273746367a?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5cdd9ed7e4b029273746367a?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5cdd9ed7e4b029273746367a?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| data\_repository\_metadata.xml<br>“repository metadata”<br>_Original FGDC Metadata_ | View | 18.63 KB | application/fgdc+xml |
| 0.1km3.zip<br>“results for 0.1km3 simulations” | | 65.64 MB | application/zip |
| 0.1km3\_no\_umbrella.zip<br>“results for 0.1km3 simulations with no umbrella” | | 53.19 MB | application/zip |
| 1km3.zip<br>“results for 1km3 simulations” | | 101.26 MB | application/zip |
| 5km3.zip<br>“results for 5km3 simulations” | | 132.15 MB | application/zip |
| 50km3.zip<br>“results for 50km3 simulations” | | 251.53 MB | application/zip |
| 500km3.zip<br>“results for 500km3 simulations” | | 531.56 MB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Barker, S. J., Van Eaton, A. R., Mastin, L. G., Wilson, C. J. N., Thompson, M. A., Wilson, T. M., et al. ( 2019). Modeling ash dispersal from future eruptions of Taupo supervolcano. Geochemistry, Geophysics, Geosystems, 20, 3375– 3401. https://doi.org/10.1029/2018GC008152 | [https://doi.org/10.1029/2018GC008152](https://doi.org/10.1029/2018GC008152 "https://doi.org/10.1029/2018GC008152") |
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## Tags
Harvest Set
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USGS Scientific Topic Keyword
- [Geophysics](/catalog/items?q=&filter=tags%3DGeophysics "Geophysics (Geophysics, USGS Scientific Topic Keyword, )")
- [Volcanology](/catalog/items?q=&filter=tags%3DVolcanology "Volcanology (Volcanology, USGS Scientific Topic Keyword, )")
## Provenance
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## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9VCPQ3I |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Simon J. Barker</origin>\n <origin>Alexa R. Van Eaton</origin>\n <origin>Larry G. Mastin</origin>\n <origin>Colin J. N. Wilson</origin>\n <origin>M. A. Thompson</origin>\n <origin>Thomas M. Wilson</origin>\n <origin>Cory Davis</origin>\n <origin>James A. Renwick</origin>\n <pubdate>20190515</pubdate>\n <title>Data repository to "Modeling ash dispersal from future eruptions of Taupo supervolcano", by S.J. Barker et al.</title>\n <geoform>ascii, gif</geoform>\n <pubinfo>\n <pubplace>Vancouver, WA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9VCPQ3I</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Barker, Simon J.</origin>\n <origin>Van Eaton, Alexa R.</origin>\n <origin>Mastin, Larry G.</origin>\n <origin>Wilson, Colin J.N.</origin>\n <origin>Thompson, M. A.</origin>\n <origin>Wilson, Thomas M.</origin>\n <origin>Davis, Cory</origin>\n <origin>Renwick, James A.</origin>\n <pubdate>2019</pubdate>\n <title>Modeling ash dispersal from future eruptions of Taupo supervolcano</title>\n <geoform>ASCII, gif</geoform>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>American Geophysical Union</publish>\n </pubinfo>\n <onlink>https://agupubs.onlinelibrary.wiley.com/journal/15252027</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This data release contains supplementary material to the Geochemistry, Geophysics, Geosystems article: \n\n"Modeling ash dispersal from future eruptions of Taupo supervolcano", by S.J. Barker et al. \n\nThis paper uses Ash3d model simulations to calculate the probability of a given tephra-fall thickness from eruptions of the following sizes: 0.1km3, 1 km3, 5 km3, 50 km3, and 500 km3. All volume cases were modeled with umbrella cloud formation, with additional Ash3d simulations for the case of a 0.1 km3 eruption assuming no development of an umbrella cloud. One thousand model simulations were run for each of these cases. The data release contains model outputs from each of the simulations. The results are packaged in separate zip files, one for each case. Zip files are named for the eruption size modeled (e.g. "0.1km3", "1km3", "5km3" etc.). Other source parameters used for these simulations are described in the paper. \n\nEach zip file contains similar contents. Below are the contents of the 0.1km3 directory, for illustration (note that a "d" in the left column indicates a directory). \n\nd directory or filename Description \n------------------------------------------------------------------------------------------- \nd 0.1km3 Output of 0.1km3 runs \n0.1km3/0.1km3_simulations_Kidson_type.txt Percent Kidson types for each simulation \n0.1km3/City_thicknesses.txt City thicknesses for each run \nd 0.1km3/zip_files zip files of output from each run \n0.1km3/zip_files/Run0001.zip zip file containing output for run #1 \n0.1km3/zip_files/Run0002.zip zip file containing output for run #2 \n0.1km3/zip_files/Run0003.zip zip file containing output for run #3 \n0.1km3/zip_files/Run0004.zip zip file containing output for run #4 \n. . . \n\n****************************************************************************************************** \nCONTENTS OF THE FILES xxkm3_simulations_Kidson_type.txt \n\nThe input_summary.txt files contain a table with each row indicating the percent of each Kidson \ntype for each simulation. The first few lines of the file look like: \n\n++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ \nNumber Eruption start after duration+8 hrs percentage of each Kidson type \n1 2 3 4 5 6 7 8 9 10 11 12 \n--------------------------------------------------------------------------------------------------- \n1 25-May-2002 16:52:06 26-May-2002 06:52:06 0 0 100 0 0 0 0 0 0 0 0 0 \n2 11-Aug-1982 03:51:53 11-Aug-1982 17:51:53 0 0 0 0 0 0 0 0 100 0 0 0 \n3 21-Apr-1989 14:59:53 22-Apr-1989 04:59:53 0 0 0 0 0 0 0 0 36 0 0 64 \n4 27-Mar-1999 13:21:51 28-Mar-1999 03:21:51 0 0 0 0 0 0 100 0 0 0 0 0 \n5 05-Jun-2014 17:56:13 06-Jun-2014 07:56:13 0 0 0 0 0 0 0 0 0 0 57 43 \n. . . \n++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ \n\nEach row below the header gives: \n1) The run number \n2) The eruption start time \n3) The end time of the eruption, plus 8 hours (the time over which we assume ash remains aiborne) \n4) The percentage of each Kidson type over that period of time \n\n****************************************************************************************************** \nCONTENTS OF THE City_thicknesses.txt FILES \n\nEach City_thickness.txt file contains a table with thicknesses of ash (mm) at the main cities for \neach run. The first few lines look like this: \n\n++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ \nCity thicknesses for eruptions of 0.1km3 \n\nRun Auckland Hamilton Tauranga New Plymouth Napier Wellington \n------------------------------------------------------------------------------------------------ \n0001 0.000 0.000 0.000 0.000 0.122 0.000 \n0002 0.000 0.501 3.622 0.000 0.042 0.000 \n0003 0.000 0.000 0.001 0.000 6.440 0.000 \n++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ \n\n****************************************************************************************************** \nCONTENTS OF EACH ZIP FILE \n\nEach zip file contains the following: \nName Description \n----------------------------------------------------------------------------------------------------- \nash_arrivaltimes_airports.kmz kmz file showing ash arrival times at airports \nash_arrivaltimes_airports.txt Text file listing ash arrival times at airports \nDepositArrivalTimes.txt Text file listing deposit arrival times at airports \nDepositFile_ESRI_ASCII.txt ESRI-ASCII gridded text file of deposit thickness (mm) \nDeposit.kmz kmz file of deposit thickness, can be opened in Google Earth \ndeposit_thickness_mm.gif gif map of deposit thickness (mm) \n\n****************************************************************************************************** \nFORMAT OF DepositFile_ESRI_ASCII.txt \nThis gridded ascii file contains deposit thickness at each node in the model domain. The file \ncontains a header that looks like this: \n*************************************************** \nNCOLS 120 \nNROWS 60 \nXLLCORNER 160.000 \nYLLCORNER -47.500 \nCELLSIZE 0.250 \nNODATA_VALUE 0.000 \n*************************************************** \nwhere NCOLS is the number of columns in the grid \nNROWS is the number of rows in the grid \nXLLCORNER is the longitude of the center of the lower-left (most southwest) node \nYLLCORNER is the latitude of the center of the lower-left (most southwest) node \nCELLSIZE is the spacing (degrees) between nodes \nNODATA_VALUE is the value where there are no data \n\nThis header is followed by the gridded data, written in 10f10.3 format (10 numbers per row, \neach number occupying 10 spaces with three digits to the right of the decimal). Each \nrow in the model could occupy several rows in the file due to the limitation of 10 \nnumbers per row in the file. The first row is the southernmost row. \n\n****************************************************************************************************** \nFORMAT OF DepositArrivalTimes.txt \n\nThis is a gridded ascii file of the arrival time of the deposit at each node in the model. The \ndeposit arrival time is given in hours after the eruption start. The file format is exactly the same \nas that of DepositFile_ESRI_ASCII.txt. It should be noted that the NODATA_VALUE is incorrectly \ngiven as -1.000. The NODATA_VALUE is actually -9999.0. This is the value given at each node if \nash never arrived at that node during the simulation. \n\n****************************************************************************************************** \nFORMAT OF ash_arrivaltimes_airports.txt \n\nThis ascii file contains a table of ash arrival times at airports. An example of the first few lines of one file is: \n+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ \nARRIVAL TIME OF ASH IN AREA MODELED BY ASH3D \nsimulation using input file: iwf25_Taupo_ESP.inp \nModel run date: 2016.12.21, time UTC: 22:46 \n\n------------------------------------------------------------------------------------------------- \nSOURCE PARAMETERS FOR SIMULATION OF: Taupo run | \nPulse start time Duration Plume height volume | \nUTC hrs km feet km3 | \n1 2002-05-25T16:52:00Z 24.00 20.0 65616. 5.00000 | \n-------------------------------------------------------------------------------------------------- \n\n----------------------------------------------------------------------------------------------------------------------------------- \nLOCATION | CLOUD | \n| | \n| | \n(Airport code & ) Place name Latitude Longitude | Cloud Arrival Time Duration | \n| hrs after | \n| date/time UTC start hrs | \nPakatoa, N.Z., New Zealand -37.8069 174.8533 | 2002-05-26T01:47:00Z 8.92 15.95 | \nCoromandel, New Zealand -36.7933 175.5167 | 2002-05-26T16:05:00Z 23.22 0.82 | \nWhakatane, New Zealand -37.9222 176.9139 | 2002-05-25T16:53:00Z 0.03 26.70 | \nWanganui, New Zealand -39.9667 175.0242 | 2002-05-26T10:34:00Z 17.70 6.50 | \n. . . \n+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ \n\n--Line 2 gives the name of the input file used (this was changed to ash3d_input.txt after the simulation); \n--Line 3 gives the date and time of the simulations \n--Lines 5-10 summarize the key eruption source parameters \n--Lines 12 and onward give a table of arrival times, durations, and deposit thicknesses at all airports in the model domain that received ash. The columns in this table are the airport name, latitude, longitude, the time of arrival of the cloud in year-month-day-hour (UTC), the arrival time in hours after the eruption start, the number of hours the cloud remained overhead, the time when ash started falling at a given location (in year-month-day-hour UTC and in hours after the eruption start), the number of hours during which ash fell, the deposit thickness, and the US National Weather Service ranking of deposit thickness (e.g. \xe2\x80\x9ctrace", \xe2\x80\x9cminor\xe2\x80\x9d, \xe2\x80\x9csubstantial\xe2\x80\x9d, \xe2\x80\x9cheavy\xe2\x80\x9d). \n\n(The right columns of the table had to be truncated in this explanation). \n\n****************************************************************************************************** \nFORMAT OF KMZ files \n\nFiles with the .kmz suffix are in zipped keyhole markup language and can be opened in Google Earth(R)* \nDetails on the contents of these files can be found on pages 19-22 of Mastin et al. (2013) \n\n*use of trade names does not imply endorsement of these products \n****************************************************************************************************** \n\nReference: \nMastin, L.G., Randall, M., J., Schwaiger, H. and Denlinger, R., 2013. User\'s Guide and Reference to Ash3d: A Three-Dimensional Model for Atmospheric Tephra Transport and Deposition, U.S. Geological Survey Open-File Report 2013-1122, pp. 48. http://pubs.er.usgs.gov/publication/ofr20131122</abstract>\n <purpose>Technically, these are model output, not data. They were generated to assess hazards from a future eruption of Taupo volcano, New Zealand.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20150101</begdate>\n <enddate>20190501</enddate>\n </rngdates>\n </timeinfo>\n <current>publication date</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>170.22491454044</westbc>\n <eastbc>179.40948485258</eastbc>\n <northbc>-34.302967655398</northbc>\n <southbc>-42.029219098975</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>volcanology</themekey>\n <themekey>hazard preparedness</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5cdd9ed7e4b029273746367a</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Taupo, Lake</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Larry Mastin</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Research Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1300 SE Cardinal Court, Bldg. 10, Suite 100</address>\n <city>Vancouver</city>\n <state>Washington</state>\n <postal>98683</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>360-993-8925</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>New Zealand Earthquake Commission, ECLIPSE program of the New Zealand Ministry of Business</datacred>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>These are model output from the USGS Ash3d model. They are not data.</procdesc>\n <procdate>20180101</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>Spatial date in the repository are the gridded point locations of nodes in our model.</indspref>\n <direct>Point</direct>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.25</latres>\n <longres>0.25</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>spherical Earth</horizdn>\n <ellips>sphere</ellips>\n <semiaxis>6371.229</semiaxis>\n <denflat>6371.229</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>There is no spreadsheet or data type table</enttypl>\n <enttypd>This data release contains multiple ascii files and some gif files, but no tables per se.</enttypd>\n <enttypds>n/a</enttypds>\n </enttyp>\n <attr>\n <attrlabl>n/a</attrlabl>\n <attrdef>n/a</attrdef>\n <attrdefs>n/a</attrdefs>\n <attrdomv>\n <udom>n/a</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>The USGS is not liable for misuse or abuse of these model results.</distliab>\n <techpreq>This zip file contains data available in ESRI shapefile format. The user must have software capable of uncompressing the WinZip file and displaying the gif and ascii formatted output.</techpreq>\n </distinfo>\n <metainfo>\n <metd>20211118</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Larry Mastin</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Research Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1300 SE Cardinal Court, Bldg. 10, Suite 100</address>\n <city>Vancouver</city>\n <state>WA</state>\n <postal>98683</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>360-993-88925</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2019-12-17Start Date2014-03-25End Date2018-05-16
## Citation
Degnan, J.R., Levitt, J.P., Erickson, M.L., Jurgens, B.C., and Lindsey, B.D., 2019, Data for Time Scales of Arsenic Variability and the Role of High-Frequency Monitoring at Three Water-Supply Wells in New Hampshire, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P9C2H7F4.
## Summary
This data release consists of data (in four tables) for assessing the time scales of arsenic variability in three production wells in New Hampshire; tables that describe the data fields in the data tables are also included in the data release. High-frequency (every 5 to 15 minutes) and bi-monthly water-quality monitoring of a bedrock-aquifer domestic well (425651070573701), a bedrock-aquifer public-supply well (425400070545401), and a glacial-aquifer public-supply well (425311070535801) was completed between 2014 and 2018. Concentrations of arsenic and other geochemical constituents and dissolved gases, as tracers of groundwater age, were measured on a bimonthly basis; physicochemical data, including specific conductance, pH, dissolved \[...\]
## Summary
This data release consists of data (in four tables) for assessing the time scales of arsenic variability in three production wells in New Hampshire; tables that describe the data fields in the data tables are also included in the data release. High-frequency (every 5 to 15 minutes) and bi-monthly water-quality monitoring of a bedrock-aquifer domestic well (425651070573701), a bedrock-aquifer public-supply well (425400070545401), and a glacial-aquifer public-supply well (425311070535801) was completed between 2014 and 2018. Concentrations of arsenic and other geochemical constituents and dissolved gases, as tracers of groundwater age, were measured on a bimonthly basis; physicochemical data, including specific conductance, pH, dissolved oxygen, pumping rate, and water level were measured at high-frequency intervals (every 5 to 15 minutes).
Attached Files
Table\_1\_DGmodel2014-18.xlsx
Detailed information on the calibration of dissolved gas models to dissolved gas concentrations (neon, argon, krypton, xenon, nitrogen, oxygen, carbon dioxide, methane, hydrogen, and nitrous oxide).
Table\_2\_Tracers2014-18.xlsx
Detailed information on calculations of environmental tracer data.
Table\_3\_TracerLPM2014-18.xlsx
Dissolved gas modeling results, environmental tracer concentrations (tritium, tritiogenic helium-3, sulfur hexafluoride, carbon-14, and chlorofluorocarbons \[CFCs\], and results for the mean age of groundwater by calibration of lumped parameter models to tracer concentrations.
Table\_4\_ConcentrationsValues2014-18.xlsx
Values of selected physiochemical parameters collected during well purging and selected chemical concentrations from filtered samples collected on various dates at each well; includes physical characteristics, depth to water, and pumping rate, calculated from continuous data.
## Contacts
Point of Contact
:
[James R Degnan](/catalog/catalogParty/show?partyId=2427)
Originator
:
[James R Degnan](/catalog/catalogParty/show?partyId=2427),
[Joseph P Levitt](/catalog/catalogParty/show?partyId=69128),
[Melinda L Erickson](/catalog/catalogParty/show?partyId=13679),
[Bryant C. Jurgens](/catalog/catalogParty/show?partyId=5262),
[Bruce D Lindsey](/catalog/catalogParty/show?partyId=6141)
Metadata Contact
:
[Jennifer B Sharpe](/catalog/catalogParty/show?partyId=9358)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=18139)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Ecosystems](/catalog/catalogParty/show?partyId=Ecosystems)
SDC Data Owner
:
[Office of the Northeast Regional Director](/catalog/catalogParty/show?partyId=17177)
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| --- | --- | --- | --- |
| Time\_Scales\_Arsenic\_Variability\_Metadata.xml<br>_Original FGDC Metadata_ | View | 56.8 KB | application/fgdc+xml |
| Time\_Scales\_Arsenic\_Variability\_Data\_Tables.zip | | 342.1 KB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| J.R. Degnan, J.P. Levitt, M.L. Erickson, et al., Time scales of arsenic variability and the role of high-frequency monitoring at three water-supply wells in New Hampshire, USA, Science of the Total Environment (2019), https://doi.org/10.1016/ j.scitotenv.2019.135946 | [https://doi.org/10.1016/j.scitotenv.2019.135946](https://doi.org/10.1016/j.scitotenv.2019.135946 "https://doi.org/10.1016/j.scitotenv.2019.135946") |
Type: Model used in the project
| | |
| --- | --- |
| TracerLPM (Version 1) Excel Workbook | [https://ca.water.usgs.gov/user\_projects/TracerLPM/](https://ca.water.usgs.gov/user_projects/TracerLPM/ "https://ca.water.usgs.gov/user_projects/TracerLPM/") |
## Purpose
Data were collected as part of the Enhanced Trends Network of the National Water-Quality Assessment Project to determine how water chemistry changes over various time scales.
## [Map](/catalog/item/imap/5d0a2c07e4b0e3d3115de4cb)
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## Communities
- National Water-Quality Assessment Project
- USGS Data Release Products
- USGS New England Water Science Center
## Tags
Theme
- [Arsenic](/catalog/items?q=&filter=tags%3DArsenic "Arsenic (Arsenic, Theme, None)")
- [Bedrock aquifer](/catalog/items?q=&filter=tags%3DBedrock+aquifer "Bedrock aquifer (Bedrock aquifer, Theme, None)")
- [Cycle 3](/catalog/items?q=&filter=tags%3DCycle+3 "Cycle 3 (Cycle 3, Theme, None)")
- [Groundwater](/catalog/items?q=&filter=tags%3DGroundwater "Groundwater (Groundwater, Theme, None)")
- [NAWQA](/catalog/items?q=&filter=tags%3DNAWQA "NAWQA (NAWQA, Theme, None)")
- [Water quality](/catalog/items?q=&filter=tags%3DWater+quality "Water quality (Water quality, Theme, None)")
- [Water supply](/catalog/items?q=&filter=tags%3DWater+supply "Water supply (Water supply, Theme, None)")
- [glacial aquifer](/catalog/items?q=&filter=tags%3Dglacial+aquifer "glacial aquifer (glacial aquifer, Theme, )")
- [groundwater age](/catalog/items?q=&filter=tags%3Dgroundwater+age "groundwater age (groundwater age, Theme, )")
- [groundwater geochemistry](/catalog/items?q=&filter=tags%3Dgroundwater+geochemistry "groundwater geochemistry (groundwater geochemistry, Theme, )")
- [groundwater quality](/catalog/items?q=&filter=tags%3Dgroundwater+quality "groundwater quality (groundwater quality, Theme, )")
- [noble gases](/catalog/items?q=&filter=tags%3Dnoble+gases "noble gases (noble gases, Theme, )")
Place
- [Kensington, New Hampshire](/catalog/items?q=&filter=tags%3DKensington%2C+New+Hampshire "Kensington, New Hampshire (Kensington, New Hampshire, Place, Geographic Names Information System (GNIS))")
- [New England](/catalog/items?q=&filter=tags%3DNew+England "New England (New England, Place, General Terms)")
- [New England Coastal Basins](/catalog/items?q=&filter=tags%3DNew+England+Coastal+Basins "New England Coastal Basins (New England Coastal Basins, Place, General Terms)")
- [New Hampshire](/catalog/items?q=&filter=tags%3DNew+Hampshire "New Hampshire (New Hampshire, Place, Geographic Names Information System (GNIS))")
- [Rockingham County, New Hampshire](/catalog/items?q=&filter=tags%3DRockingham+County%2C+New+Hampshire "Rockingham County, New Hampshire (Rockingham County, New Hampshire, Place, Geographic Names Information System (GNIS))")
- [Seabrook, New Hampshire](/catalog/items?q=&filter=tags%3DSeabrook%2C+New+Hampshire "Seabrook, New Hampshire (Seabrook, New Hampshire, Place, Geographic Names Information System (GNIS))")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
## Provenance
Data sourceInput directly
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9C2H7F4 |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>James R. Degnan</origin>\n <origin>Joseph P. Levitt</origin>\n <origin>Melinda L. Erickson</origin>\n <origin>Bryant C. Jurgens</origin>\n <origin>Bruce D. Lindsey</origin>\n <origin>Joseph D. Ayotte</origin>\n <pubdate>20191217</pubdate>\n <title>Data for Time Scales of Arsenic Variability and the Role of High-Frequency Monitoring at Three Water-Supply Wells in New Hampshire, USA</title>\n <geoform>tabular digital data</geoform>\n <serinfo>\n <sername>U.S. Geological Survey data release</sername>\n <issue>--</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Degnan, J.R., Levitt, J.P., Erickson, M.L., Jurgens, B.C., Lindsey, B.D., and Ayotte, J.D., 2019, Data for Time Scales of Arsenic Variability and the Role of High-Frequency Monitoring at Three Water-Supply Wells in New Hampshire, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P9C2H7F4.</othercit>\n <onlink>https://doi.org/10.5066/P9C2H7F4</onlink>\n <lworkcit>\n <citeinfo>\n <origin>James R. Degnan</origin>\n <origin>Joseph P. Levitt</origin>\n <origin>Melinda L. Erickson</origin>\n <origin>Bryant C. Jurgens</origin>\n <origin>Bruce D. Lindsey</origin>\n <origin>Joseph D. Ayotte</origin>\n <pubdate>2019</pubdate>\n <title>Time scales of arsenic variability and the role of high-frequency monitoring at three water-supply wells in New Hampshire, USA</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Science of The Total Environment</sername>\n <issue>--</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <othercit>Suggested citation: Degnan, J.R., Levitt, J.P., Erickson, M.L., Jurgens, B.C., Lindsey, B.D., and Ayotte, J.D., 2019, Time scales of arsenic variability and the role of high-frequency monitoring at three water-supply wells in New Hampshire, USA: Science of The Total Environment, https://doi.org/10.1016/j.scitotenv.2019.135946.</othercit>\n <onlink>https://doi.org/10.1016/j.scitotenv.2019.135946</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This data release consists of data (in four tables) for assessing the time scales of arsenic variability in three production wells in New Hampshire; tables that describe the data fields in the data tables are also included in the data release. High-frequency (every 5 to 15 minutes) and bi-monthly water-quality monitoring of a bedrock-aquifer domestic well (425651070573701), a bedrock-aquifer public-supply well (425400070545401), and a glacial-aquifer public-supply well (425311070535801) was completed between 2014 and 2018. Concentrations of arsenic and other geochemical constituents and dissolved gases, as tracers of groundwater age, were measured on a bimonthly basis; physicochemical data, including specific conductance, pH, dissolved oxygen, pumping rate, and water level were measured at high-frequency intervals (every 5 to 15 minutes).\n\nAttached Files:\nTable_1_DGmodel2014-18.xlsx: Detailed information on the calibration of dissolved gas models to dissolved gas concentrations (neon, argon, krypton, xenon, nitrogen, oxygen, carbon dioxide, methane, hydrogen, and nitrous oxide).\nTable_2_Tracers2014-18.xlsx: Detailed information on calculations of environmental tracer data. \nTable_3_TracerLPM2014-18.xlsx: Dissolved gas modeling results, environmental tracer concentrations (tritium, tritiogenic helium-3, sulfur hexafluoride, carbon-14, and chlorofluorocarbons [CFCs], and results for the mean age of groundwater by calibration of lumped parameter models to tracer concentrations. \nTable_4_ConcentrationsValues2014-18.xlsx: Values of selected physiochemical parameters collected during well purging and selected chemical concentrations from filtered samples collected on various dates at each well; includes physical characteristics, depth to water, and pumping rate, calculated from continuous data.</abstract>\n <purpose>Data were collected as part of the Enhanced Trends Network of the National Water-Quality Assessment Project to determine how water chemistry changes over various time scales.</purpose>\n <supplinf>Data was presumed satisfactory for purposes described in this data release.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20140325</begdate>\n <enddate>20180516</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-71.44</westbc>\n <eastbc>-70.73</eastbc>\n <northbc>43.27</northbc>\n <southbc>42.73</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>Groundwater</themekey>\n <themekey>Water supply</themekey>\n <themekey>Water quality</themekey>\n <themekey>Arsenic</themekey>\n <themekey>Bedrock aquifer</themekey>\n <themekey>NAWQA</themekey>\n <themekey>Cycle 3</themekey>\n <themekey>groundwater age</themekey>\n <themekey>groundwater quality</themekey>\n <themekey>groundwater geochemistry</themekey>\n <themekey>noble gases</themekey>\n <themekey>glacial aquifer</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5d0a2c07e4b0e3d3115de4cb</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Kensington, New Hampshire</placekey>\n <placekey>Seabrook, New Hampshire</placekey>\n <placekey>Rockingham County, New Hampshire</placekey>\n <placekey>New Hampshire</placekey>\n </place>\n <place>\n <placekt>General Terms</placekt>\n <placekey>New England</placekey>\n <placekey>New England Coastal Basins</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>James R. Degnan</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>331 Commerce Way</address>\n <city>Pembroke</city>\n <state>NH</state>\n <postal>03275-3718</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>603-226-7826</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Support provided by the National Water Quality Assessment (NAWQA) project.</datacred>\n <native>Files were created using Microsoft Excel 2007 or later. A compressed (ZIP) file named Time_Scales_Arsenic_Variability_Data_Tables.zip contains 8 Excel files and 1 metadata file. The zipped file size is 400K and the uncompressed file size is 570K.</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>QA was completed by the National Water Quality Assessment (NAWQA) project.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No spatial reference information are provided with these data.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No spatial reference information are provided with these data.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>W. Aeschbach-Hertig</origin>\n <origin>F. Peeters</origin>\n <origin>U. Beyerle</origin>\n <origin>R. Kipfer</origin>\n <pubdate>1999</pubdate>\n <title>Interpretation of dissolved atmospheric noble gases in natural waters</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Water Resources Research</sername>\n <issue>Volume 35, Issue 9</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>American Geophysical Union</publish>\n </pubinfo>\n <othercit>Suggested citation: Aeschbach-Hertig, W., Peeters, F., Beyerle, U., and Kipfer, R., 1999, Interpretation of dissolved atmospheric noble gases in natural waters: Water Resources Research, 35(9), 2779\xe2\x80\x932792, https://dx.doi.org/10.1029/1999WR900130.</othercit>\n <onlink>https://dx.doi.org/10.1029/1999WR900130</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1999</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Interpretation of dissolved atmospheric noble gases</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>W. Aeschbach-Hertig</origin>\n <origin>F. Peeters</origin>\n <origin>U. Beyerle</origin>\n <origin>R. Kipfer</origin>\n <pubdate>2000</pubdate>\n <title>Palaeotemperature reconstruction from noble gases in ground water taking into account equilibration with entrapped air</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Nature</sername>\n <issue>Volume 405</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>American Geophysical Union</publish>\n </pubinfo>\n <othercit>Suggested citation: Aeschbach-Hertig, W., Peeters, F., Beyerle, U., and Kipfer, R., 2000, Palaeotemperature reconstruction from noble gases in ground water taking into account equilibration with entrapped air: Nature, 405(6790), 1040-1044, https://doi.org/10.1038/35016542.</othercit>\n <onlink>https://doi.org/10.1038/35016542</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2000</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Interpretation of noble gases in ground water</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>John N. Andrews</origin>\n <pubdate>1985</pubdate>\n <title>The isotopic composition of radiogenic helium and its use to study groundwater movement in confined aquifers</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Chemical Geology</sername>\n <issue>Volume 49, Issues 1-3</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <othercit>Suggested citation: Andrews, J.N., 1985, The isotopic composition of radiogenic helium and its use to study groundwater movement in confined aquifers: Chemical Geology, 49(1-3), 339-351, https://doi.org/10.1016/0009-2541(85)90166-4.</othercit>\n <onlink>https://doi.org/10.1016/0009-2541(85)90166-4</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1985</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Using radiogenic helium to study groundwater movement</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>John N. Andrews</origin>\n <origin>David J. Lee</origin>\n <pubdate>1979</pubdate>\n <title>Inert gases in groundwater from the Bunter Sandstone of England as indicators of age and palaeoclimatic trends</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Journal of Hydrology</sername>\n <issue>Volume 41, Issues 3-4</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <othercit>Suggested citation: Andrews, J.N. and Lee, D.J., 1979, Inert gases in groundwater from the Bunter Sandstone of England as indicators of age and palaeoclimatic trends: Journal of Hydrology, 41, 233-252, https://doi.org/10.1016/0022-1694(79)90064-7.</othercit>\n <onlink>https://doi.org/10.1016/0022-1694(79)90064-7</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1979</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Inert gases in groundwater</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Eurybiades Busenberg</origin>\n <origin>L. Niel Plummer</origin>\n <pubdate>200010</pubdate>\n <title>Dating young groundwater with sulfur hexafluoride: Natural and anthropogenic sources of sulfur hexafluoride</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Water Resources Research</sername>\n <issue>Volume 36, Issue 10</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>American Geophysical Union</publish>\n </pubinfo>\n <othercit>Suggested citation: Busenberg, E., and Plummer, L.N., 2000, Dating young groundwater with sulfur hexafluoride: Natural and anthropogenic sources of sulfur hexafluoride: Water Resources Research, 36(10), 3011\xe2\x80\x933030, https://dx.doi.org/10.1029/2000WR900151.</othercit>\n <onlink>https://dx.doi.org/10.1029/2000WR900151</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>200010</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Dating young groundwater with sulfur hexafluoride</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Liang-Feng Han</origin>\n <origin>L. Niel Plummer</origin>\n <pubdate>201308</pubdate>\n <title>Revision of Fontes and Garnier's model for the initial 14C content of dissolved inorganic carbon used in groundwater dating</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Chemical Geology</sername>\n <issue>vol. 351</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <othercit>Suggested citation: Liang-Feng Han, and Plummer, L.N., 2013, Revision of Fontes and Garnier's model for the initial 14C content of dissolved inorganic carbon used in groundwater dating: Chemical Geology, v. 351, p. 105-114, http://dx.doi.org/10.1016/j.chemgeo.2013.05.011.</othercit>\n <onlink>http://dx.doi.org/10.1016/j.chemgeo.2013.05.011</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>201308</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Analytical geochemical correction 14C</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Dennis R. Helsel</origin>\n <origin>Robert M. Hirsch</origin>\n <pubdate>2002</pubdate>\n <title>Statistical Methods in Water Resources</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>USGS Techniques of Water-Resources Investigations</sername>\n <issue>Book 4, Chapter A3</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Helsel, D.R. and R. M. Hirsch, 2002. Statistical Methods in Water Resources: U.S. Geological Survey Techniques of Water-Resources Investigations, Book 4, chapter A3, 522 pages., https://pubs.usgs.gov/twri/twri4a3/.</othercit>\n <onlink>https://pubs.usgs.gov/twri/twri4a3/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2002</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Applied statistical methods</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Quan Hua</origin>\n <origin>Mike Barbetti</origin>\n <origin>Andrzej Z. Rakowski</origin>\n <pubdate>2013</pubdate>\n <title>Atmospheric radiocarbon for the period 1950-2010</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Radiocarbon</sername>\n <issue>Volume 55, Number 4</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Cambridge, UK</pubplace>\n <publish>Cambridge University Press</publish>\n </pubinfo>\n <othercit>Suggested citation: Hua, Q., Barbetti, M., and Rakowski, A.Z., 2013, Atmospheric Radiocarbon for the Period 1950\xe2\x80\x932010: Radiocarbon, 55(4), 2059-2072, https://doi.org/10.2458/azu_js_rc.v55i2.16177.</othercit>\n <onlink>https://doi.org/10.2458/azu_js_rc.v55i2.16177</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2013</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Atmospheric radiocarbon</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Andrew G. Hunt</origin>\n <pubdate>20150812</pubdate>\n <title>Noble Gas Laboratory\xe2\x80\x99s standard operating procedures for the measurement of dissolved gas in water samples</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Techniques and Methods</sername>\n <issue>Book 5, Chapter A11</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Hunt, A.G., 2015, Noble Gas Laboratory\xe2\x80\x99s standard operating procedures for the measurement of dissolved gas in water samples: U.S. Geological Survey Techniques and Methods, book 5, chap. A11, 22 p., http://dx.doi.org/10.3133/tm5A11.</othercit>\n <onlink>http://dx.doi.org/10.3133/tm5A11</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20150812</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Noble Gas Laboratory\xe2\x80\x99s standard operating procedures</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Bryant C. Jurgens</origin>\n <origin>J. K. B\xc3\xb6hlke</origin>\n <origin>Sandra M. Eberts</origin>\n <pubdate>20120719</pubdate>\n <title>TracerLPM (Version 1): An Excel Workbook\xc2\xae for Interpreting Groundwater Age Distributions from Environmental Tracer Data</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Techniques and Methods Report</sername>\n <issue>4-F3</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Jurgens, B.C., B\xc3\xb6hlke, J.K., and Eberts, S.M., 2012, TracerLPM (Version 1): An Excel\xc2\xae workbook for interpreting groundwater age distributions from environmental tracer data: U.S. Geological Survey Techniques and Methods Report 4-F3, 60 p., https://pubs.usgs.gov/tm/4-f3/.</othercit>\n <onlink>https://pubs.usgs.gov/tm/4-f3/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20120719</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>TracerLPM (Version 1)</srccitea>\n <srccontr>Software Manual</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Bryant C. Jurgens</origin>\n <origin>Peter B. McMahon</origin>\n <origin>Francis H. Chapelle</origin>\n <origin>Sandra M. Eberts</origin>\n <pubdate>2009</pubdate>\n <title>An Excel\xc2\xae Workbook for Identifying Redox Processes in Ground Water</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>USGS Open-File Report</sername>\n <issue>2009-1004</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Jurgens, B.C., McMahon, P.B., Chapelle, F.H., and Eberts, S.M., 2009, An Excel\xc2\xae workbook for identifying redox processes in ground water: U.S. Geological Survey Open-File Report 2009\xe2\x80\x931004 8 p., https://pubs.usgs.gov/of/2009/1004/.</othercit>\n <onlink>https://pubs.usgs.gov/of/2009/1004/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2009</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Redox Processes in Ground Water</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>G. Edward Manger</origin>\n <pubdate>1963</pubdate>\n <title>Porosity and Bulk Density of Sedimentary Rocks</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Bulletin</sername>\n <issue>1144-E</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Manger, G.E., 1963, Porosity and bulk density of sedimentary rocks: U.S. Geological Survey Bulletin 1144-E, p. 55, https://pubs.usgs.gov/bul/1144e/report.pdf.</othercit>\n <onlink>https://pubs.usgs.gov/bul/1144e/report.pdf</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1963</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Sedimentary Rocks</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Andrew H. Manning</origin>\n <origin>D. Kip Solomon</origin>\n <pubdate>200305</pubdate>\n <title>Using noble gases to investigate mountain-front recharge</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Journal of Hydrology</sername>\n <issue>275</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <othercit>Suggested citation: Manning, A.H., and Solomon, D.K., 2003, Using noble gases to investigate mountain-front recharge: Journal of Hydrology, 275: 194-207, https://doi.org/10.1016/S0022-1694(03)00043-X.</othercit>\n <onlink>https://doi.org/10.1016/S0022-1694(03)00043-X</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>200305</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Interpretation of recharge using noble gases</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>R.L. Michel</origin>\n <pubdate>1989</pubdate>\n <title>Tritium deposition in the continental United States, 1953-1983</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Water-Resources Investigations Report</sername>\n <issue>89-4072</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Michel, R.L., 1989, Tritium deposition in the continental United States, 1953-1983: U.S. Geological Survey Water-Resources Investigations Report 89-4072, 46 p., https://pubs.er.usgs.gov/publication/wri894072.</othercit>\n <onlink>https://pubs.er.usgs.gov/publication/wri894072</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1989</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Tritium deposition</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>National Ocean Sciences Accelerator Mass Spectrometry Facility</origin>\n <pubdate>2016</pubdate>\n <title>General statement of 14C procedures at the National Ocean Sciences AMS Facility</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Woods Hole, MA</pubplace>\n <publish>Woods Hole Oceanographic Institution</publish>\n </pubinfo>\n <othercit>Suggested citation: National Ocean Sciences Accelerator Mass Spectrometry Facility, 2015, General statement of 14C procedures at the National Ocean Sciences AMS Facility, accessed July 2016 at http://www.whoi.edu/nosams/general-statement-of-14c-procedures.</othercit>\n <onlink>http://www.whoi.edu/nosams/general-statement-of-14c-procedures</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>201607</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>14C procedure at NOS</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>F.J. Pearson</origin>\n <origin>W. Balderer</origin>\n <origin>H.H. Loosli</origin>\n <origin>B.E. Lehmann</origin>\n <origin>A. Matter</origin>\n <origin>T. Peters</origin>\n <origin>H. Schmassmann</origin>\n <origin>Roland Gautschi</origin>\n <pubdate>1991</pubdate>\n <title>Applied Isotope Hydrogeology: A Case Study in Northern Switzerland</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Studies in Environmental Science</sername>\n <issue>43</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <othercit>Suggested citation: Pearson, F.J., Balderer, W., Loosli, H.H., Lehman, B.E., Matter, A., Peters, T., Schmassman, H., Gautschi, A., 1991, Applied Isotope Hydrogeology: A Case Study in Northern Switzerland: Studies in Environmental Science 43, Elsevier, Amsterdam, https://www.elsevier.com/books/applied-isotope-hydrogeology/pearson/978-0-444-88983-6.</othercit>\n <onlink>https://www.elsevier.com/books/applied-isotope-hydrogeology/pearson/978-0-444-88983-6</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1991</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Isotope hydrogeology of deep groundwaters</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Jeffrey D. Phillips</origin>\n <origin>Joseph S. Duval</origin>\n <origin>Russell A. Ambroziak</origin>\n <pubdate>1993</pubdate>\n <title>National geophysical data grids; gamma-ray, gravity, magnetic, and topographic data for the conterminous United States</title>\n <geoform>raster digital data</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Data Series</sername>\n <issue>9</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Phillips, J. D., Duval, J. S., and Ambroziak, R. A., 1993, National geophysical data grids; gamma-ray, gravity, magnetic, and topographic data for the conterminous United States: U.S. Geological Survey Digital Data Series DDS-9, https://pubs.er.usgs.gov/publication/ds9.</othercit>\n <onlink>https://pubs.er.usgs.gov/publication/ds9</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1993</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>National geophysical data grids</srccitea>\n <srccontr>Data resource</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Paula J. Reimer</origin>\n <pubdate>20160209</pubdate>\n <title>IntCal13 and Marine13 radiocarbon age calibration curves, 0\xe2\x80\x9350,000 years cal BP</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Radiocarbon</sername>\n <issue>Volume 55, Issue 4</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Cambridge, UK</pubplace>\n <publish>Cambridge University Press</publish>\n </pubinfo>\n <othercit>Suggested citation: Reimer, P. J.; Bard, Edouard; Bayliss, Alex; Beck, J. W.; Blackwell, P. G.; Bronk Ramsey, Christopher; Buck, C. E.; Cheng, H.; Edwards, R. L.; Friedrich, M.; Grootes, P. M.; Guilderson, T. P.; Haflidason, H.; Hajdas, Irka; Hatte, C; Heaton, T. J.; Hoffman, D.L.; Hogg, A. G.; Hughen, K. A.; Kaiser, K. F.; Kromer, B.; Manning, S. W.; Niu, M.; Reimer, R. W.; Richards, D. A.; Scott, E.M.; Southon, J. R.; Staff, R.A.; Turney, C. S. M.; and Van Der Plicht, Johannes, 2013, IntCal13 and Marine13 radiocarbon age calibration curves, 0\xe2\x80\x9350,000 years cal BP: Radiocarbon, 55(4), p. 1869\xe2\x80\x931887, https://doi.org/10.2458/azu_js_rc.55.16947.</othercit>\n <onlink>https://doi.org/10.2458/azu_js_rc.55.16947</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20160209</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>IntCal13 and Marine13 radiocarbon age calibration curves</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>D. Kip Solomon</origin>\n <origin>P.G. Cook</origin>\n <pubdate>2000</pubdate>\n <title>3H and 3He, in Environmental Tracers in Subsurface Hydrology</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Boston, MA</pubplace>\n <publish>Kluwer Academic Publishers</publish>\n </pubinfo>\n <othercit>Suggested citation: Solomon, D.K., and Cook, P.G., 2000, 3H and 3He. In Environmental Tracers in Subsurface Hydrology, ed. P.G. Cook and A.L. Herczeg, 197-424. Boston: Kluwer Academic Publishers.</othercit>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2000</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>3H and 3He</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>D. Kip Solomon</origin>\n <pubdate>2000</pubdate>\n <title>4He in groundwater, in Environmental Tracers in Subsurface Hydrology</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Boston, MA</pubplace>\n <publish>Kluwer Academic Publishers</publish>\n </pubinfo>\n <othercit>Suggested citation: Solomon, D.K., 2000, 4He in groundwater. In Environmental Tracers in Subsurface Hydrology, ed. P.G. Cook and A.L. Herczeg, 425-439. Boston: Kluwer Academic Publishers.</othercit>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2000</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>4He in groundwater</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Leland Lincoln Thatcher</origin>\n <origin>Victor J. Janzer</origin>\n <origin>Kenneth W. Edwards</origin>\n <pubdate>1977</pubdate>\n <title>Methods for the determination of radioactive substances in water</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Techniques of Water-Resources Investigations</sername>\n <issue>05-A5</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: Thatcher, L.L., Janzer, V.J., and Edwards, K.W., 1977, Methods for the determination of radioactive substances in water: U.S. Geological Survey Techniques of Water-Resources Investigations, book 5, chap. A5, 95 p., https://pubs.er.usgs.gov/publication/twri05A5.</othercit>\n <onlink>https://pubs.er.usgs.gov/publication/twri05A5</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>1977</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Radioactive substances in water</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2010</pubdate>\n <title>Analytical Procedures for Dissolved Gasses N2 / Ar at The Reston Chlorofluorocarbon Laboratory</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: U.S. Geological Survey, 2010, The Reston Chlorofluorocarbon Laboratory, analytical procedures for dissolved gas, accessed September 2010 at http://water.usgs.gov/lab/dissolved-gas/lab/analytical_procedures/.</othercit>\n <onlink>https://water.usgs.gov/lab/dissolved-gas/lab/analytical_procedures/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2010</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>Dissolved Gasses N2 / Ar</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2016</pubdate>\n <title>CFC and SF6 Air Curves Excel Spreadsheet at The Reston Chlorofluorocarbon Laboratory</title>\n <geoform>tabular digital data</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: U.S. Geological Survey, 2016, The Reston Chlorofluorocarbon Laboratory, CFC and SF6 Air Curves Excel Spreadsheet, accessed 2016 at https://water.usgs.gov/lab/software/air_curve/index.html.</othercit>\n <onlink>https://water.usgs.gov/lab/software/air_curve/index.html</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2016</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>observed</srccurr>\n </srctime>\n <srccitea>CFC and SF6 Air Curves</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2016</pubdate>\n <title>National Field Manual for the Collection of Water-Quality Data (NFM)</title>\n <geoform>Web site</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <othercit>Suggested citation: U.S. Geological Survey, 2016, National Field Manual for the Collection of Water-Quality Data (NFM), https://water.usgs.gov/owq/FieldManual/.</othercit>\n <onlink>https://water.usgs.gov/owq/FieldManual/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2016</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Collection of Water-Quality Data</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>R.F. Weiss</origin>\n <pubdate>197008</pubdate>\n <title>The solubility of nitrogen, oxygen and argon in water and seawater</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Deep Sea Research</sername>\n <issue>Volume 17, Issue 4</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Elsevier</publish>\n </pubinfo>\n <othercit>Suggested citation: Weiss, R. F., 1970, The solubility of nitrogen, oxygen, and argon in water and seawater: Deep Sea Research, vol. 17, pp. 721-735, https://doi.org/10.1016/0011-7471(70)90037-9.</othercit>\n <onlink>https://doi.org/10.1016/0011-7471(70)90037-9</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>197008</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Solubility of nitrogen, oxygen and argon</srccitea>\n <srccontr>Interpretation of results</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Dissolved gases of argon, krypton, neon, nitrogen, and xenon were used to model air and water conditions at the time of recharge. Calibrated dissolved gas models provide the optimal water temperature, excess air, entrapped air, fractionation of gases, and excess nitrogen gas (mainly from denitrification) that explain the measured dissolved gases in a sample. Age tracer concentrations are computed from measured concentrations of chlorofluorocarbons, sulfur hexafluoride, helium, and helium isotopes using the dissolved gas model results (table 2). The dry-air mixing ratio is the atmospheric concentration (assuming the water has a single age) at the time of gas-water equilibration and is calculated for transient atmospheric gas tracers such as sulfur hexafluoride and chlorofluorocarbons. Tritiogenic helium-3 is the concentration of helium-3 that resulted from the decay of tritium and radiogenic helium-4 is the amount of helium generated from the decay of uranium and thorium in aquifer sediments. Table 3 provides the groundwater recharge age-dating results of this study and it contains condensed results from dissolved gas modeling and calculated environmental tracer concentrations, as well as results of the tritium age classification, susceptibility index, the mean groundwater age, fraction of modern water (water that was recharged after 1952), and detailed lumped parameter model calibration results of each sample in this study. Mean groundwater ages were determined by calibration of environmental tracers (tritium, tritiogenic helium-3, sulfur hexafluoride, carbon-14, and radiogenic helium-4) to lumped parameter models for the three production wells. Calibrated lumped parameter models provide the optimal mean age and mixing parameter(s) used to compute the distribution of ages that explain the measured tracer concentrations in a sample. Geochemical constituents, isotopes, physicochemical data, pumping rate, and water level are presented in table 4.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n <procstep>\n <procdesc>Table_1_DGmodel2014-18.xlsx: Calibration was done using methods described by Aeschbach-Hertig and others (1999) with modifications to include nitrogen gas (Weiss, 1970). In most cases, a single set of noble gas data (neon, argon, krypton, and xenon) were used to determine recharge conditions (recharge temperature, excess air or entrapped air, and fractionation). In cases where noble gas data were not available, multiple analyses of nitrogen and argon (collected sequentially on the same sample date) were used to determine recharge conditions using the unfractionated excess air (UA) model of dissolved gases. Samples with the full suite of noble gases can be used to identify groundwater with fractionated excess air using the closed-system equilibration (CE) model of dissolved gases.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n <procstep>\n <procdesc>Table_2_Tracers2014-18.xlsx: Dissolved gas models were paired with sulfur hexafluoride and helium isotopes (helium-3 and helium-4) and helium to determine concentrations of tritiogenic helium-3 (from decay of tritium; Solomon and Cook, 2000). Multiple tracer concentrations were computed when sites had multiple dissolved gas model results and analyses for sulfur hexafluoride or helium isotopes.Table_2_Tracers2014-18.xlsx: Dissolved gas models were paired with sulfur hexafluoride and helium isotopes (helium-3 and helium-4) and helium to determine concentrations of tritiogenic helium-3 (from decay of tritium; Solomon and Cook, 2000). Multiple tracer concentrations were computed when sites had multiple dissolved gas model results and analyses for sulfur hexafluoride or helium isotopes.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n <procstep>\n <procdesc>Table_3_TracerLPM2014-18.xlsx: Dissolved gas modeling and environmental tracer results were averaged when multiple dissolved gas models and tracer concentrations (Jurgens and others, 2012) were computed in tables 1 and 2. For all three wells, mean groundwater ages were modeled using a binary mixing model (BMM) consisting of two dispersion lumped-parameter models: one for a young component whose age was typically less than 30 years and a second component whose age was typically older than 30 years. The mean age was computed from the mean age and fraction of each component in the mixture. These binary mixtures were identified from tracer concentration plots and arise physically from the leakage of water across or flow around a confining unit in the case of the glacial-aquifer well or from the contribution of different fractures within the bedrock in the case of the public and domestic wells. To represent this mixing in the model, the old age in the glacial aquifer well and the young age in the bedrock-aquifer public-supply well were varied, and the fraction of water from these zones was computed. Plots of tracer concentrations indicated the age of older water in the bedrock aquifer wells were consistent throughout the study at around 37 years for the domestic and 64 years for the public well. These values were held constant in the model as it is less likely to change rapidly due to the proximity to aquifer recharge zones. The young age in the domestic bedrock aquifer well was allowed to vary in the model since the well is relatively shallow, has a relatively short casing, and as a result is more susceptible to recent recharge than the other wells.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n <procstep>\n <procdesc>Table_4_ConcentrationsValues2014-18.xlsx: Depth to water was calculated as the minimum monthly values at the bedrock-aquifer domestic well and pumping rate was calculated as the arithmetic mean between each sampling date at the glacial-aquifer and bedrock-aquifer public-supply wells.</procdesc>\n <procdate>2019</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Table_1_DGmodel2014-18.xlsx</enttypl>\n <enttypd>Excel Worksheet. Table_1_DGmodel2014-18 contains dissolved gas modeling results. A generalized description of the dissolved gas results table is provided here.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Columns A through KX</attrlabl>\n <attrdef>Explicit column descriptions are provided in the worksheet titled \xe2\x80\x98Table_1_DGmodel_Description2014-18.xlsx\xe2\x80\x99.</attrdef>\n <attrdefs>National Water-Quality Assessment (NAWQA) Project</attrdefs>\n <attrdomv>\n <udom>Individual samples are identified by the respective 15-digit USGS Station ID and date. The Initial Model Values, Nobel Gas Model, Model Parameters and Gases Modeled describe the parametrization and constraints defined by the user. Model solutions are described by the goodness of model fit (Chi-Square), the optimized Recharge Temperature, Excess Air, Entrapped Air, Fractionation, and Excess Nitrogen. The Model Comments provide additional relevant details for select sites. The remaining data columns report the deviations and absolute modeled and measured dissolved gas concentrations.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table_2_Tracers2014-18.xlsx</enttypl>\n <enttypd>Excel Worksheet. Table_2_Tracers2014-18 contains environmental tracer concentrations computed from dissolved gas modeling results (table 1). A generalized description of the environmental tracer concentration table is provided here.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Columns A through BE</attrlabl>\n <attrdef>Explicit column descriptions are provided in the worksheet titled \xe2\x80\x98Table_2_Tracers_Description2014-18.xlsx\xe2\x80\x99.</attrdef>\n <attrdefs>National Water-Quality Assessment (NAWQA) Project</attrdefs>\n <attrdomv>\n <udom>Individual samples are identified by the respective 15-digit USGS Station ID and date. Summary of dissolved gas modeling results, used in calculation of environmental tracer concentrations, are reported in Table 3 with complete detail provided in Table 2 of this Data Release. The calculated environmental tracer concentrations for Sulfur Hexafluoride, Tritium-Helium-3, and ancillary data are reported.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table_3_TracerLPM2014-18.xlsx</enttypl>\n <enttypd>Excel Worksheet. Table_3_TracerLPM2014-18 contains groundwater age lumped parameter modeling (LPM) results. The table provides detailed output from the Excel\xc2\xae based program TracerLPM (Jurgens and others, 2012). A generalized description of the LPM results table is provided here.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Columns A through EY</attrlabl>\n <attrdef>Explicit column descriptions are provided in the worksheet titled \xe2\x80\x98Table_3_TracerLPM_Description2014-18.xlsx\xe2\x80\x99.</attrdef>\n <attrdefs>National Water-Quality Assessment (NAWQA) Project</attrdefs>\n <attrdomv>\n <udom>Individual samples are identified by the 15-digit USGS Station ID and date. The Optimization Type, Initial Model Values, LPM name, Free Model Parameters and Tracers Modeled describe the parametrization and constraints defined by the user. Model solutions are described by the goodness of model fit (Chi-Square), the optimized Mean Age, Model Parameter 1, and Model Parameter 2. The Mean Age describes the average age of the full age distribution for the sample which is described by the LPM name and Model Parameter 1 and 2. In the case of binary mixture models (indicated with a BMM prefix under LPM name) and additional set of optimized values for Mean Age, Model Parameter 1, and Model Parameter 2 are reported with an additional parameter, Fraction. The first set of optimized parameters describe the mean age and distribution parameters of the first mixing component while the additional set of optimized values reported for the binary models indicate the mean age and distribution parameters for the second component of the binary model, with the Fraction being the relative fractional contribution of the first mixing component. For the binary mixtures, the mean age of the mixture is calculated as follows: \nMean Age of Mixture = (Mean Age 1st comp. X Fraction) + (Mean Age 2nd Comp. X (1 \xe2\x80\x93 Fraction))\nThe age distribution model for each component is indicated by the LPM name. For example, a binary mixture of an exponential mixing model as the first component and a dispersion model as the second component will be indicated in LPM name as BMM-EMM-DM. Mathematical description and physical representations for all the distribution types are described in Jurgens and others (2012). The remaining data columns report the modeled tracer concentrations (for a given sample, mean age, and parameterized distribution), measured tracer concentrations, and Monte Carlo model results.</udom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Table_4_GF_ConcentrationsAndValues_Final2014-18.xlsx</enttypl>\n <enttypd>Excel Worksheet. Table_4_GF_ConcentrationsAndValues_Final2014-18 contains values of selected physiochemical parameters collected during well purging and selected chemical concentrations from filtered samples collected on various dates at each well.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Columns A through P</attrlabl>\n <attrdef>Explicit column descriptions are provided in the worksheet titled 'Table_4_ConcentrationsAndValues_Column_Definitions_Final2014-18.xlsx'.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Individual samples are identified by the 15-digit Station ID and date.</udom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9C2H7F4</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200827</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Jennifer B. Sharpe</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Geographer</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>405 N. Goodwin Avenue</address>\n <city>Urbana</city>\n <state>IL</state>\n <postal>61801</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>217-328-9731</cntvoice>\n <cntfax>217-328-9770</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <metuc>Record created using USGS Metadata Wizard tool. (https://github.com/usgs/fort-pymdwizard)</metuc>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Western Ecological Research Center](/catalog/item/530d2384e4b08f991722dd4a)
3. [Western Ecological Research Center Approved Data Releases](/catalog/item/55b7a980e4b09a3b01b5fa6f)
4. [Microhabitat and Vegetation Selection by Giant Gartersnakes Associated with a Restored Marsh in California](/catalog/item/5759fa87e4b04f417c264064)
5. [Habitat Type and Activity by Giant Gartersnakes Associated with a Restored Marsh in California](/catalog/folder/5829fc60e4b01fad87248b61)
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## Dates
Publication Date2016-12-16Start Date2009-04-01End Date2010-09-30
## Citation
Halstead, B.J., Valcarcel, P., Wylie, G.D., Coates, P.S., Casazza, M.L., and Rosenberg, D.K., 2016, Microhabitat and Vegetation Selection by Giant Gartersnakes Associated with a Restored Marsh in California: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7QF8R0R.
## Summary
These data describe the location (terrestrial or aquatic) and activity status (active or inactive) of giant gartersnakes (Thamnophis gigas) by individual and location.
## Summary
These data describe the location (terrestrial or aquatic) and activity status (active or inactive) of giant gartersnakes (Thamnophis gigas) by individual and location.
## Contacts
Principal Investigator
:
[Brian J Halstead](/catalog/catalogParty/show?partyId=4126)
Co-Investigator
:
[Glenn D Wylie](/catalog/catalogParty/show?partyId=11507),
[Peter S Coates](/catalog/catalogParty/show?partyId=1912),
[Michael L Casazza](/catalog/catalogParty/show?partyId=1632),
[Daniel K Rosenberg](/catalog/catalogParty/show?partyId=54560),
[Patricia Valcarcel](/catalog/catalogParty/show?partyId=Patricia+Valcarcel)
Metadata Contact
:
[William M Perry](/catalog/catalogParty/show?partyId=William+M+Perry)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey+-+ScienceBase)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5829fc60e4b01fad87248b61?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5829fc60e4b01fad87248b61?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5829fc60e4b01fad87248b61?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
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| Tgigas\_LocationActivity\_Data.csv | | 26.44 KB | text/csv |
## Purpose
The purpose of these data are to describe the proportion of giant gartersnake locations in different habitat categories (terrestrial vs. aquatic) and the proportion of observations during which they are active. These data were further used to examine whether the proportion of active observations varied by habitat type.
## [Map](/catalog/item/imap/5829fc60e4b01fad87248b61)
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## Communities
- USGS Western Ecological Research Center
## Tags
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- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
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- [giant gartersnake](/catalog/items?q=&filter=tags%3Dgiant+gartersnake "giant gartersnake (giant gartersnake, Theme, None)")
- [habitat selection](/catalog/items?q=&filter=tags%3Dhabitat+selection "habitat selection (habitat selection, Theme, None)")
- [reptile](/catalog/items?q=&filter=tags%3Dreptile "reptile (reptile, Theme, None)")
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- [Gilsizer Slough](/catalog/items?q=&filter=tags%3DGilsizer+Slough "Gilsizer Slough (Gilsizer Slough, Place, None)")
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## Provenance
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Brian J. Halstead</origin>\n <origin>Patricia Valcarcel</origin>\n <origin>Glenn D. Wylie</origin>\n <origin>Peter S. Coates</origin>\n <origin>Michael L. Casazza</origin>\n <origin>Daniel K. Rosenberg</origin>\n <pubdate>20161216</pubdate>\n <title>Habitat Type and Activity by Giant Gartersnakes Associated with a Restored Marsh in California</title>\n <geoform>Tabular Digital Data</geoform>\n <onlink>http://dx.doi.org/10.5066/F7QF8R0R</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>These data describe the location (terrestrial or aquatic) and activity status (active or inactive) of giant gartersnakes (Thamnophis gigas) by individual and location.</abstract>\n <purpose>The purpose of these data are to describe the proportion of giant gartersnake locations in different habitat categories (terrestrial vs. aquatic) and the proportion of observations during which they are active. These data were further used to examine whether the proportion of active observations varied by habitat type.</purpose>\n <supplinf>We attempted to locate radio marked snakes five times per week from April through October of each study year. At each location, we characterized behavior of each snake (resting, moving [slithering or swimming], or unknown) and indicated whether it was in terrestrial or aquatic habitat. We visually estimated the percent cover of microhabitats in eight categories (bare ground, open water, rock, litter (dead vegetation), terrestrial vegetation, emergent vegetation, submerged vegetation, and rice) within a circular quadrat of 1 m radius centered on the individual\xe2\x80\x99s location. We also collected data on the percent cover of more than 12 major vegetation types (species or higher taxonomic category, including tules (bulrushes; Schoenoplectus acutus), cattails (Typha spp.), water-primrose (Ludwigia spp.), sedges (Cyperaceae), rushes (Juncaceae), duckweed (Lemna spp.), mosquito fern (Azolla spp.), algae, forbs, shrubs and vines, cultivated rice, and others) within the same quadrat. Percent cover of vegetation types was estimated as the proportion of total vegetation composed of each vegetation type, rather than the total percent cover. For each individual snake location, we selected an available location at a random U(1,360) (minimum, maximum) azimuth and U(2,50) m distance from the snake location. The distance represents the 0.75 quantile of daily movement distances at this site based upon previous telemetry work (G. D. Wylie, U.S. Geological Survey, unpublished data). We collected the same data for each random location as for each observed location. In 2009, we limited each random location to the aquatic or terrestrial environment in which the individual was located; in 2010, we relaxed this restriction and considered all locations (both terrestrial and aquatic) to be available to the individual.</supplinf>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20090401</begdate>\n <enddate>20100930</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-121.725138</westbc>\n <eastbc>-121.702421</eastbc>\n <northbc>39.023441</northbc>\n <southbc>39.007414</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>reptile</themekey>\n <themekey>habitat selection</themekey>\n <themekey>giant gartersnake</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5829fc60e4b01fad87248b61</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>California</placekey>\n <placekey>Central Valley</placekey>\n <placekey>Sacramento Valley</placekey>\n <placekey>Gilsizer Slough</placekey>\n </place>\n </keywords>\n <accconst>None</accconst>\n <useconst>The authors of these data require that users direct any questions pertaining to appropriate use or assistance with understanding limitations and interpretation of the data to the individuals/organization listed in the Point of Contact section.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey, Western Ecological Research Center</cntorg>\n <cntper>Brian J Halstead</cntper>\n </cntorgp>\n <cntpos>Supv. Research Wildlife Biologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>800 Business Park Drive</address>\n <city>Dixon</city>\n <state>CA</state>\n <postal>95620</postal>\n </cntaddr>\n <cntvoice>530-669-5076</cntvoice>\n <cntfax>707-678-5039</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Funding for this study was provided by the CALFED, the California Department of Water Resources, the California Waterfowl Association, and the U.S. Fish and Wildlife Service. We thank Wildlands, Inc. for access to the study site. J. Yee and T. Chambert provided statistical guidance, and Cory Overton provided helpful reviews of the manuscript. L. Achter, G. Dancourt, L. Heiker, V. Johnson, S. Marczak, C. Massing, L. McCardle, M. Meshriy, W. Meno, and J. Sweeney collected data for this project. Dr. R. Wack of the Sacramento Zoo and University of California \xe2\x80\x92 Davis Wildlife Health Center skillfully performed all transmitter implantation and removal surgeries. Snakes were handled in accordance with the University of California, Davis, Animal Care and Use Protocol 9699 and as stipulated in U.S. Fish and Wildlife Service Recovery Permit TE-020548-5. Any use of trade, product, or firm names in this publication is for descriptive purposes only and does not imply endorsement by the U.S. government.</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Data received review from technicians collecting data at the end of each workday, and by a project manager at the end of each week.</attraccr>\n </attracc>\n <logic>Data were collected on electronic devices that limited the user to integer values between 0 and 100. Percent cover data also were constrained to sum to 100 for each used and random location.</logic>\n <complete>In some cases, percent cover values could not be accurately estimated because of the inability to approach the snake or random point's location. These cases were reported on data collection forms and excluded from analysis. If percent cover values for a given point did not sum to 100, data were excluded from analysis.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Original data were:\n1. A binary indicator for whether the snake was in a terrestrial or aquatic environment\n2. categorical description of snake activity (crawling, swimming, mating, courting, foraging, basking, resting, inactive, unknown).\n3. Associated snake identity, and location information.\nAfter QA/QC procedures (described elsewhere), data were further processed to:\n1. Express categorical descriptions of activity as binary indicators as follows: crawling, swimming, mating, courting, and foraging were translated to active (1); basking, resting, and inactive were converted to inactive (0); and unknown was converted to NA.</procdesc>\n <procdate>20100930</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spref>\n <horizsys>\n <geograph>\n <latres>.00001</latres>\n <longres>.00001</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>World Geodetic System 1984</horizdn>\n <ellips>WGS_1984</ellips>\n <semiaxis>6378137.000000</semiaxis>\n <denflat>298.257224</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Attribute Table</enttypl>\n <enttypd>Table containing attribute information associated with the data set.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>id</attrlabl>\n <attrdef>numerical representation of individual snake identification code</attrdef>\n <attrdefs>field technician recorded in the field</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>19</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>unique_loc_id</attrlabl>\n <attrdef>numerical unique location identifier</attrdef>\n <attrdefs>user generated from snake identification, location, and date/time information</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>1561</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>loc_in_id</attrlabl>\n <attrdef>Numerical identification of unique locations, with enumeration restarting for each individual snake. NOTE: this attribute not used in analysis</attrdef>\n <attrdefs>user generated from snake identification, location, and date/time information</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>212</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>terrestrial</attrlabl>\n <attrdef>Indicator variable for whether the observation was of a snake in the terrestrial environment (1), aquatic environment (0), or could not be determined (NA).</attrdef>\n <attrdefs>Data collected directly in the field.</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>Aquatic</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>Terrestrial</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Could not be determined</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>active</attrlabl>\n <attrdef>Indicator variable for whether the observation was of a snake moving, foraging, mating, or otherwise engaging in activity (1); basking, still, or inactive (0); or could not be determined (NA).</attrdef>\n <attrdefs>Data collected directly in the field.</attrdefs>\n <attrdomv>\n <edom>\n <edomv>0</edomv>\n <edomvd>basking, still, or inactive</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>1</edomv>\n <edomvd>snake moving, foraging, mating, or otherwise engaging in activity</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>Could not be determined</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <overview>\n <eaover>The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>\n <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.</eadetcit>\n </overview>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>Denver Federal Center</address>\n <address>Building 810</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Tabular Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>http://dx.doi.org/10.5066/F7QF8R0R</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200830</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>William M Perry</cntper>\n <cntorg>U.S. Geological Survey, Western Ecological Research Center</cntorg>\n </cntperp>\n <cntpos>IT Specialist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>800 Business Park Drive</address>\n <city>Dixon</city>\n <state>CA</state>\n <postal>95620</postal>\n </cntaddr>\n <cntvoice>530-669-5067</cntvoice>\n <cntfax>707-678-5039</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n <mettc>local time</mettc>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [National Water-Quality Assessment Project](/catalog/item/5522f784e4b027f0aee3d0c3)
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5. [Methane and benzene in drinking-water wells overlying the Eagle Ford, Fayetteville, and Haynesville Shale hydrocarbon production areas](/catalog/folder/58c187dae4b014cc3a3d36bd)
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## Dates
Publication Date2017-05-30Start Date2014End Date2016
## Citation
McMahon, P.B., 2017, Methane and benzene in drinking-water wells overlying the Eagle Ford, Fayetteville, and Haynesville Shale hydrocarbon production areas: U.S. Geological Survey data release, https://doi.org/10.5066/F77D2SC4.
## Summary
Groundwater samples were collected from domestic and public-supply wells in the Eagle Ford study area in 2015–16, in the Fayetteville study area in 2015, and in the Haynesville study area in 2014–15. One sample of produced water was collected from a gas well in the Haynesville Shale in Rusk County, Texas in 2010, and 5 samples of produced water were collected from oil and condensate wells in the Eagle Ford Shale in Gonzales and Lavaca Counties, Texas in 2015. Groundwater samples were analyzed for major ions, nutrients, and trace elements; methane, methane H and C isotopic compositions, and C1-C5 gas composition; H and O isotopic composition of water; noble gas concentrations and isotopic compositions; tritium, sulfur hexafluoride \[...\]
## Summary
Groundwater samples were collected from domestic and public-supply wells in the Eagle Ford study area in 2015–16, in the Fayetteville study area in 2015, and in the Haynesville study area in 2014–15. One sample of produced water was collected from a gas well in the Haynesville Shale in Rusk County, Texas in 2010, and 5 samples of produced water were collected from oil and condensate wells in the Eagle Ford Shale in Gonzales and Lavaca Counties, Texas in 2015. Groundwater samples were analyzed for major ions, nutrients, and trace elements; methane, methane H and C isotopic compositions, and C1-C5 gas composition; H and O isotopic composition of water; noble gas concentrations and isotopic compositions; tritium, sulfur hexafluoride (SF6), and carbon-14 in dissolved inorganic carbon (DIC), and δ13C-DIC; and volatile organic compounds (VOCs). Water from hydrocarbon wells was analyzed for a subset of these constituents.
## Contacts
Point of Contact
:
[Peter B McMahon](/catalog/catalogParty/show?partyId=6801)
Originator
:
[Peter B McMahon](/catalog/catalogParty/show?partyId=6801)
Metadata Contact
:
[Jennifer B Sharpe](/catalog/catalogParty/show?partyId=Jennifer+B+Sharpe)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
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| McMahon\_Methane\_Benzene\_Metadata.xml<br>“Project Overview Metadata”<br>_Original FGDC Metadata_ | View | 18.19 KB | application/fgdc+xml |
| McMahon\_Methane\_Benzene.zip<br>“Data Tables and Metadata” | | 247.38 KB | application/zip |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Peter B. McMahon, Jeannie R.B. Barlow, Mark A. Engle, Kenneth Belitz, Patricia B. Ging, Andrew G. Hunt, Bryant C. Jurgens, Yousif K. Kharaka, Roland W. Tollett, and Timothy M. Kresse, 2017, Methane and benzene in drinking-water wells overlying the Eagle Ford, Fayetteville, and Haynesville Shale hydrocarbon production areas. Environmental Science & Technology, DOI: 10.1021/acs.est.7b00746. | [http://dx.doi.org/10.1021/acs.est.7b00746](http://dx.doi.org/10.1021/acs.est.7b00746 "http://dx.doi.org/10.1021/acs.est.7b00746") |
## Purpose
Groundwater overlying the Eagle Ford, Fayetteville, and Haynesville Shale hydrocarbon production areas was analyzed for chemical, isotopic, and groundwater-age tracers to evaluate sources of selected hydrocarbons in groundwater.
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## Provenance
Data sourceInput directly
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/F77D2SC4 |
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(2024-08-29 17:07) | b"<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Peter McMahon</origin>\n <pubdate>2017</pubdate>\n <title>Methane and benzene in drinking-water wells overlying the Eagle Ford, Fayetteville, and Haynesville Shale hydrocarbon production areas</title>\n <geoform>Tabular Digital Data</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F77D2SC4</onlink>\n <lworkcit>\n <citeinfo>\n <origin>McMahon, P.B.</origin>\n <origin>Barlow, J.R.B.</origin>\n <origin>Engle, M.A.</origin>\n <origin>Belitz, K.</origin>\n <origin>Ging, P.B.</origin>\n <origin>Hunt, A.G.</origin>\n <origin>Jurgens, B.C.</origin>\n <origin>Kharaka, Y.K.</origin>\n <origin>Tollett, R.W.</origin>\n <origin>Kresse, T.M.</origin>\n <pubdate>2017</pubdate>\n <title>Methane and benzene in drinking-water wells overlying the Eagle Ford, Fayetteville, and Haynesville Shale hydrocarbon production areas.</title>\n <geoform>Publication (Journal)</geoform>\n <serinfo>\n <sername>Environmental Science & Technology</sername>\n <issue>Volume 51, Issue 11</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>American Chemical Society</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.1021/acs.est.7b00746</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Groundwater samples were collected from domestic and public-supply wells in the Eagle Ford study area in 2015\xe2\x80\x9316, in the Fayetteville study area in 2015, and in the Haynesville study area in 2014\xe2\x80\x9315. One sample of produced water was collected from a gas well in the Haynesville Shale in Rusk County, Texas in 2010, and 5 samples of produced water were collected from oil and condensate wells in the Eagle Ford Shale in Gonzales and Lavaca Counties, Texas in 2015. Groundwater samples were analyzed for major ions, nutrients, and trace elements; methane, methane H and C isotopic compositions, and C1-C5 gas composition; H and O isotopic composition of water; noble gas concentrations and isotopic compositions; tritium, sulfur hexafluoride (SF6), and carbon-14 in dissolved inorganic carbon (DIC), and \xce\xb413C-DIC; and volatile organic compounds (VOCs). Water from hydrocarbon wells was analyzed for a subset of these constituents.</abstract>\n <purpose>Groundwater overlying the Eagle Ford, Fayetteville, and Haynesville Shale hydrocarbon production areas was analyzed for chemical, isotopic, and groundwater-age tracers to evaluate sources of selected hydrocarbons in groundwater.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>2010</begdate>\n <enddate>2016</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Not planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-100.53127404</westbc>\n <eastbc>-91.002894027</eastbc>\n <northbc>36.005905684</northbc>\n <southbc>27.987055565</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>groundwater</themekey>\n <themekey>geochemistry</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>Methane</themekey>\n <themekey>Unconventional Oil and Gas</themekey>\n <themekey>Benzene</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:58c187dae4b014cc3a3d36bd</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System</placekt>\n <placekey>Atascosa County, Texas</placekey>\n <placekey>Burleson County, Texas</placekey>\n <placekey>Dimmit County, Texas</placekey>\n <placekey>Fayette County, Texas</placekey>\n <placekey>Frio County, Texas</placekey>\n <placekey>Goliad County, Texas</placekey>\n <placekey>Gonzales County, Texas</placekey>\n <placekey>Karnes County, Texas</placekey>\n <placekey>La Salle County, Texas</placekey>\n <placekey>Lavaca County, Texas</placekey>\n <placekey>McMullen County, Texas</placekey>\n <placekey>Wilson County, Texas</placekey>\n <placekey>Zavala County, Texas</placekey>\n <placekey>Angelina County, Texas</placekey>\n <placekey>Gregg County, Texas</placekey>\n <placekey>Harrison County, Texas</placekey>\n <placekey>Nacogdoches County, Texas</placekey>\n <placekey>Panola County, Texas</placekey>\n <placekey>Rusk County, Texas</placekey>\n <placekey>Shelby County, Texas</placekey>\n <placekey>Upshur County, Texas</placekey>\n <placekey>Cleburne County, Arkansas</placekey>\n <placekey>Conway County, Arkansas</placekey>\n <placekey>Faulkner County, Arkansas</placekey>\n <placekey>Independence County, Arkansas</placekey>\n <placekey>Jackson County, Arkansas</placekey>\n <placekey>Van Buren County, Arkansas</placekey>\n <placekey>White County, Arkansas</placekey>\n <placekey>Bienville County, Louisiana</placekey>\n <placekey>Bossier County, Louisiana</placekey>\n <placekey>Caddo County, Louisiana</placekey>\n <placekey>De Soto County, Louisiana</placekey>\n <placekey>Natchitoches County, Louisiana</placekey>\n <placekey>Red River County, Louisiana</placekey>\n <placekey>Sabine County, Louisiana</placekey>\n </place>\n </keywords>\n <accconst>None. Please see 'Distribution Info' for details.</accconst>\n <useconst>Acknowledgment of the Originator when using the dataset as a source. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Peter B McMahon</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 415, W 6th Ave Kipling St</address>\n <city>Lakewood</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>303-236-6899</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>National Water Quality Assessment project</datacred>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A)</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Spot checking data; ion charge balance calculations; replicate, blank, and spike samples collected for selected inorganic, organic, and isotopic data; data cross plots to spot outliers</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2016</pubdate>\n <title>National Water Information System data available on the World Wide Web (USGS Water Data for the Nation)</title>\n <geoform>Computer Program</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.5066/F7P55KJN</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20100101</begdate>\n <enddate>20160501</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>Tables 1 through 5</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Kresse, T.M., Warner, N.R., Hays, P.D., Down, A., Vengosh, A., and Jackson, R.B.</origin>\n <pubdate>20120101</pubdate>\n <title>Shallow groundwater quality and geochemistry in the Fayetteville Shale gas-production area, north-central Arkansas</title>\n <geoform>Other</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://pubs.usgs.gov/sir/2012/5273/</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20120101</begdate>\n <enddate>20121231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Tables 2, 3, and 6</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Sofer, Z., and Gat, J.R.</origin>\n <pubdate>19720701</pubdate>\n <title>Activities and concentrations of oxygen-18 in concentrated aqueous salt solutions: Analytical and geophysical implications</title>\n <geoform>Publication (Journal Article)</geoform>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Earth and Planetary Sciences Letters</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.1016/0012-821X(72)90168-9</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19720101</begdate>\n <enddate>19721231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Table 5</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Sofer, Z., and Gat, J.R.</origin>\n <pubdate>19750601</pubdate>\n <title>The isotope composition of evaporating brines: effect of the isotopic activity ratio in saline solutions</title>\n <geoform>Publication (Journal Article)</geoform>\n <pubinfo>\n <pubplace>Amsterdam, The Netherlands</pubplace>\n <publish>Earth and Planetary Sciences Letters</publish>\n </pubinfo>\n <onlink>http://dx.doi.org/10.1016/0012-821X(75)90085-0</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19750101</begdate>\n <enddate>19751231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Table 5</srccitea>\n <srccontr>Source information used in support of the development of the data set.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>IHS Global</origin>\n <pubdate>20161213</pubdate>\n <title>U.S. Well History and Production Database\xe2\x80\x932015</title>\n <geoform>Other</geoform>\n <pubinfo>\n <pubplace>Engelwood, CO</pubplace>\n <publish>IHS Global</publish>\n </pubinfo>\n <onlink>http://www.ihsenergy.com</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20150101</begdate>\n <enddate>20151231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>Table 6</srccitea>\n <srccontr>This data set contributed about 10% of the analysis.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Texas Railroad Commission</origin>\n <pubdate>20161213</pubdate>\n <title>Texas Railroad Commission wells database</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Texas</pubplace>\n <publish>Texas Railroad Commission</publish>\n </pubinfo>\n <onlink>Data not available online</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20150101</begdate>\n <enddate>20151231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>Table 6</srccitea>\n <srccontr>This data set contributed <5% of the analysis.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Arkansas Oil and Gas Commission</origin>\n <pubdate>20161213</pubdate>\n <title>Arkansas Oil and Gas Commission Online Production and Well Information</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Arkansas</pubplace>\n <publish>Arkansas Oil and Gas Commission</publish>\n </pubinfo>\n <onlink>http://www.aogc.state.ar.us/JDesignerPro/JDPArkansas/default.htm</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20150101</begdate>\n <enddate>20151231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>Table 6</srccitea>\n <srccontr>This data set contributed <5% of the analysis</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Louisiana Department of Natural Resources</origin>\n <pubdate>20161213</pubdate>\n <title>Louisiana Strategic Online Natural Resources Information System</title>\n <geoform>Vector Digital Data Set</geoform>\n <pubinfo>\n <pubplace>Louisiana</pubplace>\n <publish>Louisiana Department of Natural Resources</publish>\n </pubinfo>\n <onlink>http://www.dnr.louisiana.gov/index.cfm?md=navigation&tmp=iframe&pnid=0&nid=340</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy Resources</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>20150101</begdate>\n <enddate>20151231</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>Table 6</srccitea>\n <srccontr>This data set contributed <5% of the analysis</srccontr>\n </srcinfo>\n </lineage>\n </dataqual>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>U.S. Geological Survey - ScienceBase</cntper>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Distributor assumes no liability for misuse of data.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>ZIP</formname>\n <formvern>none</formvern>\n <formspec>Microsoft Excel 2010</formspec>\n <transize>0.25</transize>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>http://sciencebase.usgs.gov/</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200826</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Jennifer B Sharpe</cntper>\n <cntorg>U.S. Geological Survey, Midwest Region</cntorg>\n </cntperp>\n <cntpos>Geographer</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>405 N. Goodwin Avenue</address>\n <city>Urbana</city>\n <state>IL</state>\n <postal>61801</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>217-328-9731</cntvoice>\n <cntfax>217-328-9770</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>" |
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1. [ScienceBase Catalog](/catalog/item/4f4e4760e4b07f02db47df9c)
2. [USGS Data Release Products](/catalog/item/5474ec49e4b04d7459a7eab2)
3. [Digitized sonic velocity log data of the Sacramento Delta region, California](/catalog/folder/5b8595dfe4b05f6e321d0ac9)
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## Dates
Publication Date2018-10-22Start Date1958-08-14End Date2004-07-20
## Citation
Langenheim, V.E., Brocher, T.M., McPhee, D.K., Earney, T.E., MacPherson-Krutsky, C., Morgan, K.S., Matson, G., and McFaul, R.S., 2018, Digitized sonic velocity log data of the Sacramento Delta region, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9PYUFI7.
## Summary
The datasets consist of basic well information and of digitized sonic velocity data from commercially run well logs in the Sacramento Delta region, California.
## Summary
The datasets consist of basic well information and of digitized sonic velocity data from commercially run well logs in the Sacramento Delta region, California.
## Contacts
Point of Contact
:
[Victoria E Langenheim](/catalog/catalogParty/show?partyId=5866)
Process Contact
:
[Victoria E Langenheim](/catalog/catalogParty/show?partyId=5866)
Publisher
:
[U.S. Geological Survey](/catalog/catalogParty/show?partyId=U.S.+Geological+Survey)
Originator
:
[Victoria E Langenheim](/catalog/catalogParty/show?partyId=5866),
[Thomas M Brocher](/catalog/catalogParty/show?partyId=1201),
[Darcy K McPhee](/catalog/catalogParty/show?partyId=6821),
[Tait E Earney](/catalog/catalogParty/show?partyId=71079),
[Carson C Macpherson-Krutsky](/catalog/catalogParty/show?partyId=63028),
[Katherine S. Morgan](/catalog/catalogParty/show?partyId=Katherine+S.+Morgan),
[Gabriel Matson](/catalog/catalogParty/show?partyId=Gabriel+Matson),
[Robert S Mcfaul](/catalog/catalogParty/show?partyId=70123)
Metadata Contact
:
[Victoria E Langenheim](/catalog/catalogParty/show?partyId=5866)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
USGS Mission Area
:
[Core Science Systems](/catalog/catalogParty/show?partyId=Core+Science+Systems)
SDC Data Owner
:
[National Cooperative Geologic Mapping Program](/catalog/catalogParty/show?partyId=17163)
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| metadata\_main\_FGDC.xml<br>“main metadata file”<br>_Original FGDC Metadata_ | View | 12.28 KB | application/fgdc+xml |
| readme<br>“readme file” | | 1.78 KB | text/plain |
| data.zip<br>“data files” | | 3.08 MB | application/zip |
## Purpose
Sonic velocity well logs were digitized to provide velocity information with depth in the upper 3-4 km of the Sacramento Delta. Velocity variations can affect how seismic energy propagates through the basin and these data were used to characterize how velocity varies not only by depth, but also by the age of the basin sediments, to predict velocity variations throughout the basin for seismic hazard characterization. Basic information about the wells is also provided, such as well name, lease and number, year drilled, elevation of measuring point, total depth, township, range and section of well location, and information about stratigraphic horizons, if available.
## [Map](/catalog/item/imap/5b8595dfe4b05f6e321d0ac9)
[](/catalog/item/imap/5b8595dfe4b05f6e321d0ac9)
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- USGS Data Release Products
## Tags
Categories
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Theme
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- [seismic velocity](/catalog/items?q=&filter=tags%3Dseismic+velocity "seismic velocity (seismic velocity, Theme, None)")
- [sonic welll log](/catalog/items?q=&filter=tags%3Dsonic+welll+log "sonic welll log (sonic welll log, Theme, None)")
Place
- [Sacramento Delta](/catalog/items?q=&filter=tags%3DSacramento+Delta "Sacramento Delta (Sacramento Delta, Place, None)")
Harvest Set
- [USGS Science Data Catalog (SDC)](/catalog/items?q=&filter=tags%3DUSGS+Science+Data+Catalog+%28SDC%29 "USGS Science Data Catalog (SDC) (USGS Science Data Catalog (SDC), Harvest Set, )")
USGS Scientific Topic Keyword
- [Geophysics](/catalog/items?q=&filter=tags%3DGeophysics "Geophysics (Geophysics, USGS Scientific Topic Keyword, )")
- [Seismology](/catalog/items?q=&filter=tags%3DSeismology "Seismology (Seismology, USGS Scientific Topic Keyword, )")
## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9PYUFI7 |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Langenheim, Victoria E.</origin>\n <origin>Brocher, Thomas M.</origin>\n <origin>McPhee, Darcy, K.</origin>\n <origin>Earney, Tait, E.</origin>\n <origin>MacPherson-Krutsky, Carson</origin>\n <origin>Morgan, Katherine S.</origin>\n <origin>Matson, Gabriel</origin>\n <origin>McFaul, Robert S.</origin>\n <pubdate>2018</pubdate>\n <title>Digitized sonic velocity log data of the Sacramento Delta region, California</title>\n <geoform>tabular digital data</geoform>\n <onlink>https://doi.org/10.5066/P9PYUFI7</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>The datasets consist of basic well information and of digitized sonic velocity data from commercially run well logs.</abstract>\n <purpose>Sonic velocity well logs were digitized to provide velocity information with depth in the upper 3-4 km of the Sacramento Delta. Velocity variations can affect how seismic energy propagates through the basin and these data were used to characterize how velocity varies not only by depth, but also by the age of the basin sediments, to predict velocity variations throughout the basin for seismic hazard characterization. Basic information about the wells is also provided, such as well name, lease and number, year drilled, elevation of measuring point, total depth, township, range and section of well location, and information about stratigraphic horizons, if available.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>19580814</begdate>\n <enddate>20040720</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-122.072557</westbc>\n <eastbc>-121.092477</eastbc>\n <northbc>38.53296</northbc>\n <southbc>37.655429</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>geoscientificInformation</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>seismic velocity</themekey>\n <themekey>sonic well log</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5b8595dfe4b05f6e321d0ac9</themekey>\n </theme>\n <place>\n <placekt>None</placekt>\n <placekey>Sacramento Delta</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>None. Users are advised to read the data set\'s metadata thoroughly to understand appropriate use and data limitations. The U.S. Geological Survey (USGS) provides these geographic data "as is". The USGS makes no guarantee or warranty concerning the accuracy of information contained in the geographic data. The USGS further make no warranties, either expressed or implied as to any other matter whatsoever, including, without limitation, the condition of the product, or its fitness for any particular purpose. The burden for determined fitness for use lies entirely with the user. Although these data have been processed successfully on computers at the USGS, no warranty, expressed or implied, is made by the USGS regarding the use of these data on any other system, nor does the fact of distribution constituent or imply any such warranty.\n\nIn no event shall the USGS have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the delivery, installation, operation, or support by the USGS.</useconst>\n <ptcontac>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>Victoria E Langenheim</cntper>\n </cntorgp>\n <cntpos>Geophysicist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>345 Middlefield Rd. MS 989</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n </cntaddr>\n <cntvoice>6503295313</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <native>Digitized using ArcMap and imported into Microsoft Excel to calculate seismic velocity and then exported as a comma-delimited text file.</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Accuracy of the data was not independently verified.</attraccr>\n </attracc>\n <logic>Some of the values fall outside expected velocities. Values less than 1500 m/s were set to 1500 m/s and values exceeding 6500 m/s were set to 6500/s.</logic>\n <complete>Sonic logs were digitized at a non-uniform interval that ranged between 3 and 30 m for the Brocher and others (1997) and Tiballi and Brocher (1998) datasets, which is sufficient to capture significant variations of the logs with depth for frequencies up to 2 Hz. The logs digitized for the Delta study were digitized at a tighter range of intervals, generally 0.3 to 1 m.</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>California Division of Oil, Gas, and Geothermal Resources (DOGGR)</origin>\n <pubdate>20160101</pubdate>\n <title>Sonic logs of gas wells in the California Division of Oil, Gas, and Geothermal Resources data served to the public.</title>\n <geoform>application/service</geoform>\n <onlink>https://maps.conservation.ca.gov/doggr/wellfinder/#close</onlink>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19620118</begdate>\n <enddate>20040720</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>ground condition</srccurr>\n </srctime>\n <srccitea>Sonic well logs run by companies in support of drilling gas wells</srccitea>\n <srccontr>Raster images of sonic velocity logs of 43 wells</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Thomas, M. Brocher</origin>\n <pubdate>19971231</pubdate>\n <title>Compilation of 59 sonic and density logs from 51 oil test wells in the San Francisco Bay area, California</title>\n <geoform>tabular digital data</geoform>\n <othercit>Brocher, T. M., Ruebel, A.L., and Brabb, E.E., 1997. Compilation of 59 sonic and density logs from 51 oil test wells in the San Francisco Bay area, California, U.S. Geological Survey Open-File Rept. 97-687, 75 pp.</othercit>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19601031</begdate>\n <enddate>19860113</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Brocher and others (1997)</srccitea>\n <srccontr>Provided Excel spreadsheets of velocity data for 20 wells.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Thomas, M. Brocher</origin>\n <pubdate>19981231</pubdate>\n <title>Compilation of 71 additional sonic and density logs from 59 oil test wells in the San Francisco Bay area, California</title>\n <geoform>tabular digital data</geoform>\n <othercit>Tiballi, C. A., and Brocher, T.M., 1998, Compilation of 71 additional sonic and density logs from 59 oil test wells in the San Francisco Bay area, California, U.S. Geological Survey Open-File Report 98-615, 131 pp.</othercit>\n </citeinfo>\n </srccite>\n <typesrc>Digital and/or Hardcopy</typesrc>\n <srctime>\n <timeinfo>\n <rngdates>\n <begdate>19580814</begdate>\n <enddate>19830829</enddate>\n </rngdates>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Tiballi and Brocher (1998)</srccitea>\n <srccontr>Provided excel spreadsheets of sonic log data of 17 wells.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Tiffs of sonic logs were input into ArcMap to digitize transit time in us/ft with depth in feet. These values were exported into Microsoft Excel, where the transit times were converted to velocity. For the wells that were significantly deviated (not vertically drilled) and had surveying information, the locations of the velocity values were shifted accordingly.</procdesc>\n <procdate>20171205</procdate>\n <proccont>\n <cntinfo>\n <cntperp>\n <cntper>Victoria Langenheim</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Geophysicist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>650-329-5313</cntvoice>\n <cntfax>650-329-5133</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </proccont>\n </procstep>\n </lineage>\n </dataqual>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Digital Data</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/P9PYUFI7</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. No fees are applicable for obtaining the data set.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200911</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Victoria Langenheim</cntper>\n <cntorg>U.S. Geological Survey, PACIFIC REGION</cntorg>\n </cntperp>\n <cntpos>Research Geophysicist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Mail Stop 989, 345 Middlefield Road</address>\n <city>Menlo Park</city>\n <state>CA</state>\n <postal>94025</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>650-329-5313</cntvoice>\n <cntfax>650-329-5133</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
Generate a FGDC (Federal Geographic Data Committee) XML from following description of datarelease: | [Skip to main content](#sb-container-body)
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## Dates
Publication Date2018-08-28Start Date2017-10-10End Date2017-10-20
## Citation
Barbour, M.T., Wise, J.K., and Luoma, J.A., 2018, Bioassay Verification of a Zebra Mussel (Dreissena polymorpha) Eradication Treatment: Data: U.S. Geological Survey data release, https://doi.org/10.5066/P9E8IPCI.
## Summary
Zebra mussels (Dreissena polymorpha Pallas 1771) are a tenacious aquatic invasive species in the United States and new infestations can rapidly expand into dense colonies. Zebra mussels were first reported in Marion Lake (Dakota County, Minnesota) in September 2017 and surveys indicated the infestation was likely isolated near the public boat access. A 2.4-hectare area, containing the known zebra mussel infestation, was enclosed and treated for nine days with EarthTec QZ®, a copper-based molluscicide, in an attempt to eradicate the zebra mussels. We conducted an on-site bioassay to confirm treatment efficacy. The bioassay was conducted in mobile assay trailer that received a continuous flow of treated lake water and zebra mussels test \[...\]
## Summary
Zebra mussels (Dreissena polymorpha Pallas 1771) are a tenacious aquatic invasive species in the United States and new infestations can rapidly expand into dense colonies. Zebra mussels were first reported in Marion Lake (Dakota County, Minnesota) in September 2017 and surveys indicated the infestation was likely isolated near the public boat access. A 2.4-hectare area, containing the known zebra mussel infestation, was enclosed and treated for nine days with EarthTec QZ®, a copper-based molluscicide, in an attempt to eradicate the zebra mussels. We conducted an on-site bioassay to confirm treatment efficacy. The bioassay was conducted in mobile assay trailer that received a continuous flow of treated lake water and zebra mussels test animals that were collected from White Bear Lake (Ramsey County, MN). Zebra mussel mortality in the treated bioassay tanks achieved 99 percent mortality (95-percent Confidence Interval: 98 – 100 percent) and a predictive model indicates in-lake mortality as low as 85 percent may have occurred; therefore, our results indicate that the Marion Lake treatment may not have induced complete zebra mussel mortality. Post-treatment assessments and surveys are recommended to further verify treatment success and monitor lake conditions in regards to zebra mussel infestation.
## Contacts
Point of Contact
:
[Matthew T Barbour](/catalog/catalogParty/show?partyId=67820)
Originator
:
[Matthew T Barbour](/catalog/catalogParty/show?partyId=67820),
[Jeremy K Wise](/catalog/catalogParty/show?partyId=14016),
[James A Luoma](/catalog/catalogParty/show?partyId=6339)
Metadata Contact
:
[Matthew T Barbour](/catalog/catalogParty/show?partyId=67820)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
SDC Data Owner
:
[Upper Midwest Environmental Sciences Center](/catalog/catalogParty/show?partyId=17261)
USGS Mission Area
:
[Ecosystems](/catalog/catalogParty/show?partyId=Ecosystems)
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| Bioassay Verification of a Zebra Mussel (Dreissena polymorpha) Eradication Treatment.xml<br>_Original FGDC Metadata_ | View | 29.33 KB | application/fgdc+xml |
| Alkalinity and Hardness.csv | | 595 Bytes | text/csv |
| Copper.csv | | 2.08 KB | text/csv |
| Length.csv | | 2.06 KB | text/csv |
| Mortality.csv | | 1.79 KB | text/csv |
| Water Chemistry.csv | | 3.57 KB | text/csv |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Bioassay Verification of a Zebra Mussel (Dreissena polymorpha) Eradication Treatment | [https://doi.org/10.3133/ofr20181138](https://doi.org/10.3133/ofr20181138 "https://doi.org/10.3133/ofr20181138") |
## Purpose
The purpose of the bioassay was to monitor and assess the effectiveness of a zebra mussel eradication treatment. The data were collected to quantify chemical concentrations during the treatment, measure mortality of the treatment, and monitor water quality during the treatment.
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## Provenance
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## Additional Information
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| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9E8IPCI |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Matthew T. Barbour</origin>\n <origin>Jeremy K. Wise</origin>\n <origin>James A Luoma</origin>\n <pubdate>20180828</pubdate>\n <title>Bioassay Verification of a Zebra Mussel (Dreissena polymorpha) Eradication Treatment: Data</title>\n <geoform>tabular digital data</geoform>\n <pubinfo>\n <pubplace>Online</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9E8IPCI</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Matthew T. Barbour</origin>\n <origin>Jeremy K. Wise</origin>\n <origin>James A. Luoma</origin>\n <pubdate>20180829</pubdate>\n <title>Bioassay Verification of a Zebra Mussel (Dreissena polymorpha) Eradication Treatment</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Open-File Report</sername>\n <issue>2018-1138</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Online</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.3133/ofr20181138</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Zebra mussels (Dreissena polymorpha Pallas 1771) are a tenacious aquatic invasive species in the United States and new infestations can rapidly expand into dense colonies. Zebra mussels were first reported in Marion Lake (Dakota County, Minnesota) in September 2017 and surveys indicated the infestation was likely isolated near the public boat access. A 2.4-hectare area, containing the known zebra mussel infestation, was enclosed and treated for nine days with EarthTec QZ\xc2\xae, a copper-based molluscicide, in an attempt to eradicate the zebra mussels. We conducted an on-site bioassay to confirm treatment efficacy. The bioassay was conducted in mobile assay trailer that received a continuous flow of treated lake water and zebra mussels test animals that were collected from White Bear Lake (Ramsey County, MN). Zebra mussel mortality in the treated bioassay tanks achieved 99 percent mortality (95-percent Confidence Interval: 98 \xe2\x80\x93 100 percent) and a predictive model indicates in-lake mortality as low as 85 percent may have occurred; therefore, our results indicate that the Marion Lake treatment may not have induced complete zebra mussel mortality. Post-treatment assessments and surveys are recommended to further verify treatment success and monitor lake conditions in regards to zebra mussel infestation.</abstract>\n <purpose>The purpose of the bioassay was to monitor and assess the effectiveness of a zebra mussel eradication treatment. The data were collected to quantify chemical concentrations during the treatment, measure mortality of the treatment, and monitor water quality during the treatment.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20171010</begdate>\n <enddate>20171020</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-93.316497802734</westbc>\n <eastbc>-93.261566162109</eastbc>\n <northbc>44.684277371812</northbc>\n <southbc>44.647162306501</southbc>\n </bounding>\n <descgeog>Lake Marion, MN</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>biota</themekey>\n </theme>\n <theme>\n <themekt>None</themekt>\n <themekey>zebra mussels</themekey>\n <themekey>bioassay</themekey>\n <themekey>eradication</themekey>\n <themekey>early-detection</themekey>\n <themekey>rapid-response</themekey>\n </theme>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>copper</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5b85b224e4b05f6e321d4056</themekey>\n </theme>\n <place>\n <placekt>Common geographic areas</placekt>\n <placekey>Minnesota</placekey>\n <placekey>Dakota</placekey>\n <placekey>Lake Marion</placekey>\n </place>\n </keywords>\n <accconst>None. Please see \'Distribution Info\' for details.</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Matthew T Barbour</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2630 Fanta Reed Road</address>\n <city>La Crosse</city>\n <state>WI</state>\n <postal>54603</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>608-781-6371</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>Funding for the bioassay was provided from USGS appropriated funds as a continuation of Minnesota Aquatic Invasive Species Research Center (MAISRC) project funding. This research was conducted as part of a larger project conducted by the Minnesota Department of Natural Resources (MNDNR), the City of Lakeville, Minnesota, and PLM Lake and Land Management Corporation (Brianerd, Minnesota).</datacred>\n <taxonomy>\n <keywtax>\n <taxonkt>USGS Biocomplexity Thesaurus</taxonkt>\n <taxonkey>Bivalves</taxonkey>\n </keywtax>\n <taxonsys>\n <classsys>\n <classcit>\n <citeinfo>\n <origin>Integrated Taxonomic Information System (ITIS)</origin>\n <pubdate>2018</pubdate>\n <title>Integrated Taxonomic Information System (ITIS)</title>\n <geoform>ONLINE_REFERENCE</geoform>\n <pubinfo>\n <pubplace>Washington, D.C.</pubplace>\n <publish>Integrated Taxonomic Information System (ITIS)</publish>\n </pubinfo>\n <onlink>http://itis.gov</onlink>\n </citeinfo>\n </classcit>\n </classsys>\n <ider>\n <cntinfo>\n <cntperp>\n <cntper>Matthew T Barbour</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2630 Fanta Reed Road</address>\n <city>La Crosse</city>\n <state>WI</state>\n <postal>54603</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>608-781-6371</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ider>\n <taxonpro>expert advice</taxonpro>\n <taxoncom>Zebra Mussel (Dreissena polymorpha) were identified by researchers</taxoncom>\n </taxonsys>\n <taxongen>Zebra Mussel (Dreissena polymorpha)</taxongen>\n <taxoncl>\n <taxonrn>Kingdom</taxonrn>\n <taxonrv>Animalia</taxonrv>\n <taxoncl>\n <taxonrn>Subkingdom</taxonrn>\n <taxonrv>Bilateria</taxonrv>\n <taxoncl>\n <taxonrn>Infrakingdom</taxonrn>\n <taxonrv>Protostomia</taxonrv>\n <taxoncl>\n <taxonrn>Superphylum</taxonrn>\n <taxonrv>Lophozoa</taxonrv>\n <taxoncl>\n <taxonrn>Phylum</taxonrn>\n <taxonrv>Mollusca</taxonrv>\n <taxoncl>\n <taxonrn>Class</taxonrn>\n <taxonrv>Bivalvia</taxonrv>\n <taxoncl>\n <taxonrn>Subclass</taxonrn>\n <taxonrv>Heterodonta</taxonrv>\n <taxoncl>\n <taxonrn>Order</taxonrn>\n <taxonrv>Veneroida</taxonrv>\n <taxoncl>\n <taxonrn>Superfamily</taxonrn>\n <taxonrv>Dreissenoidea</taxonrv>\n <taxoncl>\n <taxonrn>Family</taxonrn>\n <taxonrv>Dreissenidae</taxonrv>\n <taxoncl>\n <taxonrn>Genus</taxonrn>\n <taxonrv>Dreissena</taxonrv>\n <taxoncl>\n <taxonrn>Species</taxonrn>\n <taxonrv>Dreissena polymorpha</taxonrv>\n <common>zebra mussel</common>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxoncl>\n </taxonomy>\n <tool>\n <tooldesc>non-linear regression in SigmaPlot</tooldesc>\n <toolacc>\n <onlink>www.systatsoftware.com.</onlink>\n <toolinst>www.systatsoftware.com.</toolinst>\n </toolacc>\n <toolcont>\n <cntinfo>\n <cntperp>\n <cntper>Matthew T Barbour</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2630 Fanta Reed Road</address>\n <city>La Crosse</city>\n <state>WI</state>\n <postal>54603</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>608-781-6371</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </toolcont>\n <toolcite>\n <citeinfo>\n <origin>Systat Software, Inc</origin>\n <pubdate>2014</pubdate>\n <title>SigmaPlot version XX.X</title>\n <geoform>software</geoform>\n </citeinfo>\n </toolcite>\n </tool>\n <tool>\n <tooldesc>statistical analysis in R</tooldesc>\n <toolacc>\n <onlink>http://www.r-project.org</onlink>\n <toolinst>http://www.r-project.org</toolinst>\n </toolacc>\n <toolcont>\n <cntinfo>\n <cntperp>\n <cntper>Matthew T Barbour</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2630 Fanta Reed Road</address>\n <city>La Crosse</city>\n <state>WI</state>\n <postal>54603</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>608-781-6371</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </toolcont>\n <toolcite>\n <citeinfo>\n <origin>R Development Core Team</origin>\n <pubdate>2014</pubdate>\n <title>R: A language and environment for statistical computing</title>\n <geoform>software</geoform>\n </citeinfo>\n </toolcite>\n </tool>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>Instruments were calibrated daily and electronic data was proofed against original datasheets.</attraccr>\n </attracc>\n <logic>There was a change to the number of animals assessed every day and occasionally the number of animals in each test chamber varied from the target number (25). The actual number of test animals assessed every day was recorded to document any changes. All data are proofed and the values are reasonable. \nNo samples for copper data were collected on 11 October 2017 explaining the missing data for that time period. \nHardness could not be measured on 10 October 2017 due to a missing reagent needed for the analysis. There are two missing data for that day reflected in the dataset as \xe2\x80\x9cNA.\xe2\x80\x9d</logic>\n <complete>Zebra mussels used in this bioassay were collected from White Bear Lake, MN not from the lake in which the treatment occurred. Zebra mussels were only selected for use if 1) they were alive and healthy (responded to gentle stimulus and could hold shell closed when gentle pressure was applied to adductor muscle); 2) >10mm in shell length. Treatment efficacy was assessed by observing zebra mussel mortality in the containment bags. Daily mortality assessments began 48 h after treatment was initiated (Day 2). One containment bag from each tank bioassay tank was removed and assessed for mortality daily. All mussels within each bag were evaluated for the lack of adductor mussel resistance to gentle valve pressure or failure to close valves after gentle prodding. Mussels were not returned to the tanks after the assessment. The assessment schema was changed beginning on Day 7 as a result of lengthening the bioassay due to a lack of complete mortality observations. Living mussels from the assessment on Day 7 were returned to their respective tanks. Mussel mortality was assessed in both of the remaining bags in each bioassay tank for the remainder of the study. The new schema observed cumulative mortality as dead mussels were discarded and live mussels were returned to their respective bags and bioassay tank.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Collect data and samples 20171010 \xe2\x80\x93 20171020\nMortality observations\nCopper samples (acidified with nitric acid [1% v/v])\nWater chemistry data (temperature, pH, Dissolved Oxygen, Alkalinity, etc.)\nAnalyze samples for copper concentration on MP-AES\nAnalytical wavelength: 324.75 nm\nFive-point, quadratic-regression standard curve\nMeasure shell lengths from preserved samples</procdesc>\n <procdate>20171020</procdate>\n </procstep>\n <method>\n <methtype>both</methtype>\n <methdesc>Bioassay done in field, copper analysis and shell lengths done in lab</methdesc>\n <methcite>\n <citeinfo>\n <origin>American Public Health Association</origin>\n <origin>American Water Works Association</origin>\n <origin>Water Environment Federation</origin>\n <pubdate>2012</pubdate>\n <title>Standard methods for the examination of water and wastewater</title>\n <geoform>(E. W. Rice, R. B. Baird, A. D. Eaton, L. S. Clesceri, & L. Bridgewater, Eds.): American Public Health Association, Washington, DC.</geoform>\n <onlink>Not electronically available</onlink>\n </citeinfo>\n </methcite>\n </method>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>Alkalinity and Hardness.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Tank</attrlabl>\n <attrdef>Tank number assigned for bioassay.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Tank number assigned for bioassay.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Treatment</attrlabl>\n <attrdef>Treatement type.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>T</edomv>\n <edomvd>Treatment group included the bioassay tanks receiving lake water from the treated enclosure. Treatment was EarthTec QZ\xc2\xae with a mean target concentration of 0.5 milligrams per liter as copper; applied within the lake enclosure and continuously pumps to tanks within a bioassay trailer.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>C</edomv>\n <edomvd>control group</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Day</attrlabl>\n <attrdef>Day of the treatment and bioassay that the sample was collected. Begins at day 0 (10 October 2017) and ends on day 10 (20 October 2017).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>10</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Hardness</attrlabl>\n <attrdef>Total Hardness reported as milligrams per liter as Calcium Carbonate (mg/L - CaCO3). "NA" means data unavailable/not collected.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>NA</edomv>\n <edomvd>data unavailable/not collected</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <rdom>\n <rdommin>172.0</rdommin>\n <rdommax>192.0</rdommax>\n <attrunit>mg/L - CaCO3</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Alkalinity</attrlabl>\n <attrdef>Alkalinity reported as milligrams per liter as Calcium Carbonate (mg/L - CaCO3).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>127</rdommin>\n <rdommax>141</rdommax>\n <attrunit>mg/L - CaCO3</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Date</attrlabl>\n <attrdef>Calendar date of data collection (DD-MMM-YY).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10-Oct-17</rdommin>\n <rdommax>20-Oct-17</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Copper.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Tank</attrlabl>\n <attrdef>Tank number assigned for bioassay.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Tank number assigned for bioassay.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Treatment</attrlabl>\n <attrdef>Treatment type</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>T</edomv>\n <edomvd>Treatment group included the bioassay tanks receiving lake water from the treated enclosure. Treatment was EarthTec QZ\xc2\xae with a mean target concentration of 0.5 milligrams per liter as copper; applied within the lake enclosure and continuously pumps to tanks within a bioassay trailer.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>C</edomv>\n <edomvd>control</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Day</attrlabl>\n <attrdef>Day of the treatment and bioassay that the sample was collected. Begins at day 0 (10 October 2017) and ends on day 10 (20 October 2017).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>10</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ABS</attrlabl>\n <attrdef>Absorbance as measured on the Microwave Plasma Atomic Emmision Spectrophotometer measered at an analytical wavelength of 324.75 nanometers (\xce\xbb = 324.75 nm).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>57.07</rdommin>\n <rdommax>49828.08</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Copper</attrlabl>\n <attrdef>Concentration of Copper (mg/L-CU2+)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.00069</rdommin>\n <rdommax>0.54576</rdommax>\n <attrunit>mg/L-CU2+</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Length.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data. Only collected on control group</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Mussel ID</attrlabl>\n <attrdef>Arbitrary number assigned to mussel for data recording reasons.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1</rdommin>\n <rdommax>200</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Length</attrlabl>\n <attrdef>Length of mussel shell in millimeters (mm) measured from umbone to furthers point of shell.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8.6</rdommin>\n <rdommax>20.7</rdommax>\n <attrunit>mm</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Mortality.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Tank</attrlabl>\n <attrdef>Tank number assigned for bioassay.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Tank number assigned for bioassay.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Treatment</attrlabl>\n <attrdef>treatment type</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>T</edomv>\n <edomvd>Treatment group included the bioassay tanks receiving lake water from the treated enclosure. Treatment was EarthTec QZ\xc2\xae with a mean target concentration of 0.5 milligrams per liter as copper; applied within the lake enclosure and continuously pumps to tanks within a bioassay trailer.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>C</edomv>\n <edomvd>control</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Day</attrlabl>\n <attrdef>Day of the treatment and bioassay that the sample was collected. Begins at day 2 (12 October 2017) and ends on day 10 (20 October 2017).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2</rdommin>\n <rdommax>10</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Alive</attrlabl>\n <attrdef>Number of mussels alive at the time of assessment.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>50</rdommax>\n <attrunit>mussels</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Dead</attrlabl>\n <attrdef>Number of mussels dead at the time of assessment.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>50</rdommax>\n <attrunit>mussels</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Date</attrlabl>\n <attrdef>Calendar date for the assessment (DD-MMM-YY)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>12-Oct-17</rdommin>\n <rdommax>20-Oct-17</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>Water Chemistry.csv</enttypl>\n <enttypd>Comma Separated Value (CSV) file containing data.</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Tank</attrlabl>\n <attrdef>Tank number assigned for bioassay.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>Tank number assigned for bioassay.</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Treatment</attrlabl>\n <attrdef>treatment type</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>T</edomv>\n <edomvd>Treatment group included the bioassay tanks receiving lake water from the treated enclosure. Treatment was EarthTec QZ\xc2\xae with a mean target concentration of 0.5 milligrams per liter as copper; applied within the lake enclosure and continuously pumps to tanks within a bioassay trailer.</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>C</edomv>\n <edomvd>control</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Day</attrlabl>\n <attrdef>Day of the treatment and bioassay that the sample was collected. Begins at day 0 (10 October 2017) and ends on day 10 (20 October 2017).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>10</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>pH</attrlabl>\n <attrdef>Temperature compensated pH in standard units.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>7.91</rdommin>\n <rdommax>8.38</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Dissolved Oxygen</attrlabl>\n <attrdef>Measured as luminescent dissolved oxygen and reported in milligrams per liter (mg/L).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>7.91</rdommin>\n <rdommax>10.21</rdommax>\n <attrunit>mg/L</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Specific Conductance</attrlabl>\n <attrdef>Temperature compensated and reported as micro-Seimens per centimeter at 25\xc2\xb0C (\xce\xbcS/cm at 25\xc2\xb0C)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>455</rdommin>\n <rdommax>581</rdommax>\n <attrunit>\xce\xbcS/cm</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Temperature</attrlabl>\n <attrdef>Temperature in degrees Celsius (\xc2\xb0C)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>12.4</rdommin>\n <rdommax>17.6</rdommax>\n <attrunit>C</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Date</attrlabl>\n <attrdef>Calendar date of data collection (DD-MMM-YY).</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>10-Oct-17</rdommin>\n <rdommax>20-Oct-17</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n </distinfo>\n <metainfo>\n <metd>20210409</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Matthew T Barbour</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>2630 Fanta Reed Road</address>\n <city>La Crosse</city>\n <state>WI</state>\n <postal>54603</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>608-781-6371</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n <metuc>Record created using USGS Metadata Wizard tool. (https://github.com/usgs/fort-pymdwizard)</metuc>\n </metainfo>\n</metadata>' |
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## Dates
Publication Date2021-03-15Start Date2016-08-01End Date2018-12-31
## Citation
Fiore, A.R., Ashland, F.X., Reilly, P.A., and Mirus, B.B., 2021, Hydrologic, slope movement, and soil property data from the coastal bluffs of the Atlantic Highlands, New Jersey, 2016-2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9A601HC.
## Summary
Seasonal variations in vegetation, rainfall, and soil moisture conditions have the potential to impact the slope stability of locally forested coastal bluffs in the Atlantic Highlands of New Jersey. Both the seasonality and rainfall amounts of the two types of storms that induce shallow landslides in the area vary considerably. Most of the documented historical landslides are the result of heavy rainfall caused by late summer-fall tropical cyclones. The majority of the remaining documented landslides are related to spring nor’easters and total storm rainfall amounts for these storms are generally lower than the rainfall amounts for the tropical cyclones. In order to assess how conditions that may affect the potential for shallow landslide \[...\]
## Summary
Seasonal variations in vegetation, rainfall, and soil moisture conditions have the potential to impact the slope stability of locally forested coastal bluffs in the Atlantic Highlands of New Jersey. Both the seasonality and rainfall amounts of the two types of storms that induce shallow landslides in the area vary considerably. Most of the documented historical landslides are the result of heavy rainfall caused by late summer-fall tropical cyclones. The majority of the remaining documented landslides are related to spring nor’easters and total storm rainfall amounts for these storms are generally lower than the rainfall amounts for the tropical cyclones. In order to assess how conditions that may affect the potential for shallow landslide initiation vary seasonally, we are monitoring shallow pore-water pressure and soil moisture, precipitation, and slope movement.
Our monitoring is located at two sites of previously documented historical landsliding. The Mount Mitchill Scenic Overlook (MMSO) site is located on a slope interpreted to be the main scarp of a deep-seated, rotational landslide or slump that occurred in April 1782. The scarp slope is covered by a veneer of colluvium that has accumulated over the past few centuries. Shallow landslides have been documented nearby on the bluff and other evidence for shallow landslide movement includes scars on the upper slope and convex lobes lower on the slope. The Ocean Boulevard Bridge (OBB) site has experienced recurrent episodes of shallow landslide movement including in 2007 and May 2012. This data release presents the time series data from instrumentation installed at MMSO and OBB for a monitoring period that began on August 1, 2016, and lasted through December 31, 2018. Monitoring data collected in the time period prior to this data release is available in Fiore and others (2017). The instrumentation includes three observation wells, nine soil moisture probes, two rain gauges, and a cable extension transducer. At MMSO, we monitored shallow pore-water pressure in the lower part of the bluff, rainfall, effective rainfall beneath the deciduous forest canopy, and shallow soil moisture at three locations on the lower and middle parts of the bluff. At OBB, we monitored the shallow pore-water pressure at one location in the upper bluff and another location in the landslide deposit, shallow soil moisture at one location in the middle bluff and another location in the landslide deposit, and movement along the west flank of the May 2012 landslide where a displaced soil block forms the upper part of the landslide deposit.
Soil samples were collected at six locations on September 28, 2017 using a stainless steel core barrel pushed vertically into sediments along leveled ground below the organic horizon. Samples were analyzed in the laboratory for various hydraulic and geotechnical properties.
This data release presents the output for each instrument sensor type as recorded on the datalogger, as well as the laboratory results of the hydraulic and geotechnical properties of the soil samples collected. In some cases the output requires conversion to engineering units and we provide all the necessary factors, values, and equations to facilitate these conversions.
The most significant storm during this monitoring period was a cloudburst on August 7, 2018, that produced numerous shallow slope failures in sandy colluvium across the bluffs. Data included in this release support an interpretive paper published in the Quarterly Journal of Engineering Geology and Hydrogeology regarding this cloudburst.
## Contacts
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:
[Francis Ashland](/catalog/catalogParty/show?partyId=15689)
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:
[Alex R Fiore](/catalog/catalogParty/show?partyId=59764),
[Francis Ashland](/catalog/catalogParty/show?partyId=15689),
[Pamela A Reilly](/catalog/catalogParty/show?partyId=8510),
[Benjamin B Mirus](/catalog/catalogParty/show?partyId=7061)
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[Alex R Fiore](/catalog/catalogParty/show?partyId=59764)
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[Natural Hazards](/catalog/catalogParty/show?partyId=Natural+Hazards)
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| --- | --- | --- | --- |
| Hydrologic, slope movement, and soil property data from the coastal bluffs of the Atlantic Highlands, New Jersey, 2016-2018.xml<br>_Original FGDC Metadata_ | View | 44.31 KB | application/fgdc+xml |
| MMSO\_BP\_DATA\_20181231.xlsx | | 2.3 MB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| MMSO\_CANOPY\_RAINFALL\_DATA\_20181231.xlsx | | 1.47 MB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| MMSO\_PWP\_DATA\_20181231.xlsx | | 1.98 MB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| MMSO\_RAINFALL\_DATA\_20181231.xlsx | | 1.1 MB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| MMSO\_VWC\_DATA\_20181231.xlsx | | 663.66 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| OBB\_CET\_DATA\_20181231.xlsx | | 1.33 MB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| OBB\_PWP\_DATA\_20181231.xlsx | | 3.33 MB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| OBB\_VWC\_DATA\_20181231.xlsx | | 633.27 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| SoilProperties.xlsx | | 11 KB | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
## Related External Resources
Type: Related Primary Publication
| | |
| --- | --- |
| Capturing the transient hydrological response in sandy soils during a rare cloudburst associated with shallow slope failures—a case study in the Atlantic Highlands, New Jersey, USA | [https://doi.org/10.1144/qjegh2020-127](https://doi.org/10.1144/qjegh2020-127 "https://doi.org/10.1144/qjegh2020-127") |
Type: ScienceBase Repository
| | |
| --- | --- |
| Groundwater levels, soil moisture, precipitation, and slope movement in the coastal bluffs of the Atlantic Highlands, New Jersey, 2015-2016 | [https://doi.org/10.5066/F7959FQB](https://doi.org/10.5066/F7959FQB "https://doi.org/10.5066/F7959FQB") |
## Purpose
The purpose of this study was to monitor seasonal variation in pore-water pressure and shallow soil moisture, rainfall, hydrologic storm response, and slope movement and to estimate soil hydraulic and geotechnical properties in the coastal bluffs of the Atlantic Highlands, New Jersey. The hydrologic monitoring data provide insights into the role of antecedent soil moisture conditions on hydrologic storm response and seasonal variations in slope stability in the coastal bluffs. Data on effective rainfall beneath the deciduous forest canopy provide information on seasonal variation in canopy interception and the relationship between total storm rainfall and canopy interception. Current monitoring of the movement of a historical landslide that reactivated in 2012 may provide critical information on the instability of landslide deposits on the bluff and the relative level of hazard that these deposits pose as compared to the surrounding slope colluvium. The laboratory-derived soil hydraulic and geotechnical data provide quantitative information on the properties of the surficial colluvium and 2012 landslide deposit and the exposed Cretaceous stratigraphy on the scar. The results of the monitoring, combined with the soil property data and the recently developed provisional empirical rainfall thresholds for seasonal storms, can be used to improve our capability of anticipating future landslide occurrence.
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| DOI | https://www.sciencebase.gov/vocab/category/item/identifier | doi:10.5066/P9A601HC |
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Fiore, A.R.</origin>\n <origin>Ashland, F.X.</origin>\n <origin>Reilly, P.A.</origin>\n <origin>Mirus, B.B.</origin>\n <pubdate>20210315</pubdate>\n <title>Hydrologic, slope movement, and soil property data from the coastal bluffs of the Atlantic Highlands, New Jersey, 2016-2018</title>\n <geoform>digital tabular</geoform>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9A601HC</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Ashland, F.X.</origin>\n <origin>Reilly, P.A.</origin>\n <origin>Fiore, A.R.</origin>\n <pubdate>2021</pubdate>\n <title>Capturing the transient hydrological response in sandy soils during a rare cloudburst associated with shallow slope failures\xe2\x80\x94a case study in the Atlantic Highlands, New Jersey, USA</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>United Kingdom</pubplace>\n <publish>Quarterly Journal of Engineering Geology and Hydrogeology</publish>\n </pubinfo>\n <onlink>https://doi.org/10.1144/qjegh2020-127</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>Seasonal variations in vegetation, rainfall, and soil moisture conditions have the potential to impact the slope stability of locally forested coastal bluffs in the Atlantic Highlands of New Jersey. Both the seasonality and rainfall amounts of the two types of storms that induce shallow landslides in the area vary considerably. Most of the documented historical landslides are the result of heavy rainfall caused by late summer-fall tropical cyclones. The majority of the remaining documented landslides are related to spring nor\xe2\x80\x99easters and total storm rainfall amounts for these storms are generally lower than the rainfall amounts for the tropical cyclones. In order to assess how conditions that may affect the potential for shallow landslide initiation vary seasonally, we are monitoring shallow pore-water pressure and soil moisture, precipitation, and slope movement. \n\nOur monitoring is located at two sites of previously documented historical landsliding. The Mount Mitchill Scenic Overlook (MMSO) site is located on a slope interpreted to be the main scarp of a deep-seated, rotational landslide or slump that occurred in April 1782. The scarp slope is covered by a veneer of colluvium that has accumulated over the past few centuries. Shallow landslides have been documented nearby on the bluff and other evidence for shallow landslide movement includes scars on the upper slope and convex lobes lower on the slope. The Ocean Boulevard Bridge (OBB) site has experienced recurrent episodes of shallow landslide movement including in 2007 and May 2012. This data release presents the time series data from instrumentation installed at MMSO and OBB for a monitoring period that began on August 1, 2016, and lasted through December 31, 2018. Monitoring data collected in the time period prior to this data release is available in Fiore and others (2017). The instrumentation includes three observation wells, nine soil moisture probes, two rain gauges, and a cable extension transducer. At MMSO, we monitored shallow pore-water pressure in the lower part of the bluff, rainfall, effective rainfall beneath the deciduous forest canopy, and shallow soil moisture at three locations on the lower and middle parts of the bluff. At OBB, we monitored the shallow pore-water pressure at one location in the upper bluff and another location in the landslide deposit, shallow soil moisture at one location in the middle bluff and another location in the landslide deposit, and movement along the west flank of the May 2012 landslide where a displaced soil block forms the upper part of the landslide deposit. \n\nSoil samples were collected at six locations on September 28, 2017 using a stainless steel core barrel pushed vertically into sediments along leveled ground below the organic horizon. Samples were analyzed in the laboratory for various hydraulic and geotechnical properties. \n\nThis data release presents the output for each instrument sensor type as recorded on the datalogger, as well as the laboratory results of the hydraulic and geotechnical properties of the soil samples collected. In some cases the output requires conversion to engineering units and we provide all the necessary factors, values, and equations to facilitate these conversions. \n\nThe most significant storm during this monitoring period was a cloudburst on August 7, 2018, that produced numerous shallow slope failures in sandy colluvium across the bluffs. Data included in this release support an interpretive paper published in the Quarterly Journal of Engineering Geology and Hydrogeology regarding this cloudburst.</abstract>\n <purpose>The purpose of this study was to monitor seasonal variation in pore-water pressure and shallow soil moisture, rainfall, hydrologic storm response, and slope movement and to estimate soil hydraulic and geotechnical properties in the coastal bluffs of the Atlantic Highlands, New Jersey. The hydrologic monitoring data provide insights into the role of antecedent soil moisture conditions on hydrologic storm response and seasonal variations in slope stability in the coastal bluffs. Data on effective rainfall beneath the deciduous forest canopy provide information on seasonal variation in canopy interception and the relationship between total storm rainfall and canopy interception. Current monitoring of the movement of a historical landslide that reactivated in 2012 may provide critical information on the instability of landslide deposits on the bluff and the relative level of hazard that these deposits pose as compared to the surrounding slope colluvium. The laboratory-derived soil hydraulic and geotechnical data provide quantitative information on the properties of the surficial colluvium and 2012 landslide deposit and the exposed Cretaceous stratigraphy on the scar. The results of the monitoring, combined with the soil property data and the recently developed provisional empirical rainfall thresholds for seasonal storms, can be used to improve our capability of anticipating future landslide occurrence.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20160801</begdate>\n <enddate>20181231</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>None planned</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-74.022987484932</westbc>\n <eastbc>-73.986595273018</eastbc>\n <northbc>40.418723866775</northbc>\n <southbc>40.401731976196</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Thesaurus</themekt>\n <themekey>hazards</themekey>\n </theme>\n <theme>\n <themekt>General</themekt>\n <themekey>landslide initiation</themekey>\n <themekey>monitoring</themekey>\n <themekey>shallow landslide</themekey>\n <themekey>hydrologic response</themekey>\n <themekey>rainfall</themekey>\n <themekey>canopy interception</themekey>\n <themekey>soil moisture</themekey>\n <themekey>groundwater level</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:6047b722d34eb120311a5d73</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Borough of Atlantic Highlands</placekey>\n <placekey>Borough of Highlands</placekey>\n <placekey>New Jersey</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>none</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Francis X. Ashland</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Research Geologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Mail Stop 926A, National Center, 12201 Sunrise Valley Drive</address>\n <city>Reston</city>\n <state>VA</state>\n <postal>20192</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>703-648-6923</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <crossref>\n <citeinfo>\n <origin>Fiore, A.R., Ashland, F.X., and Reilly, P.A.</origin>\n <pubdate>2017</pubdate>\n <title>Groundwater levels, soil moisture, precipitation, and slope movement in the coastal bluffs of the Atlantic Highlands, New Jersey, 2015-2016</title>\n <pubinfo>\n <pubplace>Reston, VA</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F7959FQB</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>\n <posacc>\n <horizpa>\n <horizpar>No formal positional accuracy tests were conducted</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>No formal positional accuracy tests were conducted</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <procstep>\n <procdesc>Pore-water pressures are measured in shallow observation wells located at both the Mount Mitchill Scenic Overlook (MMSO) and Ocean Boulevard Bridge (OBB) sites. At MMSO, the pore-water pressure is measured in a 1.25-in.-diameter 4-feet-deep observation well completed in the slope colluvium in the lower bluff. The screened interval of the observation well extends from a depth of approximately 2.9 to 3.9 feet below ground surface. A 50 psi (350 kPa) Geokon 4500S vibrating wire piezometer (VWP) was installed approximately 1 foot above the bottom of the observation well with the diaphragm located approximately 2.95 feet and 2.96 feet below ground surface prior to, then after, a September 14, 2016 maintenance, respectively. The VWP has a resolution of 0.025% and an accuracy of 0.1% of the full scale, or 0.0125 and 0.05 psi, respectively. The VWP connects to a Campbell Scientific CR1000 datalogger by interfacing with a Campbell Scientific AVW200-series 2-channel vibrating wire spectrum analyzer module. The module reduces or eliminates incorrect readings due to noise sources by using frequency-based measurements. The module outputs six values, including resonant frequency that is converted to digits. Digits can be converted to pressure or groundwater levels using factors provided on the sensor calibration sheets for each VWP and appropriate conversion values. At OBB, the pore-water pressure was measured using a 50 psi (350 kPa) Geokon 4500S VWP at two locations: (1) in a 2-in.-diameter 10.6-feet-deep observation well (OBB1) located in slope colluvium in the upper part of the bluff, near a source area scarp of a May 2012 landslide, and (2) in a 2-in.-diameter 7-feet-deep observation well (OBB2) located in the landslide deposit from the May 2012 landslide. The well screen interval of OBB1 extends from a depth of about 3 to 10.5 feet below ground surface. A VWP was located about 1.3 feet above the bottom of OBB1 with the diaphragm located about 9.26 feet below ground surface. The screened interval of OBB2 extends from a depth of about 2 to 7 feet below ground surface. A VWP was located about 0.18 feet above the bottom of OBB2 with the diaphragm located about 6.76 feet below ground surface. We measured barometric pressure using a third VWP located in the datalogger enclosure at MMSO to obtain data for barometric correction of the pore-water pressure data. The VWP was originally a 50 psi (350 kPa) Geokon 4500S that was replaced with a 25 psi (170 kPa) Geokon 4500AL VWP on September 14, 2016. Linear gage and thermal factors and zero pressure readings are provided for the VWPs in the General Information worksheet of each data file.</procdesc>\n <procdate>20181231</procdate>\n </procstep>\n <procstep>\n <procdesc>Volumetric water content (VWC) of shallow soil is measured using Campbell Scientific CS655 water content reflectometers. The CS655 probe derives VWC from the probe\xe2\x80\x99s sensitivity to dielectric permittivity and has an accuracy of approximately \xc2\xb13 percent. Each probe is inserted into the upslope wall of shallow hand-excavated test pits using an insertion guide tool to create two parallel holes for the probe rods, which are oriented horizontally. At MMSO, five CS655 probes were installed in three locations (A, B, and C) on the bluff. Probe A_1_37 was installed at a depth of 37 centimeters in the lower test pit located near the base of the moderately steep slope and directly above a cleared area that was the site of a former residential building. The ground surface at the lower test pit was covered with English ivy and leaf litter and the test pit was near the downslope edge of the forested slope. Two probes were installed at different depths (25 and 50 cm) in each of the two upper test pits. Both test pits were located beneath the canopy of the forested slope. Probes B_2_25 and B_3_50 were installed in the middle test pit directly downslope of a large deciduous tree and several roots of the tree passed through the test pit. Probes C_4_25 and C_5_50 were installed in the upper test pit where shallow ironstone fragments were encountered and, additionally, nearby exploratory auger holes met shallow refusal on the ironstone. At OBB, four CS655 probes were installed in two locations (D and E) on the bluff. Probes D_1_58 and D_2_35 were installed at depths of 58 and 35 centimeters, respectively, in a test pit in soil colluvium near the middle of the moderately steep slope. Probes E_3_65 and E_4_25 were installed in a test pit in the landslide deposit at depths of 65 and 25 centimeters, respectively. Average volumetric water content (units equal cubic meters/cubic meters) are recorded hourly to a Campbell Scientific CR1000 datalogger.</procdesc>\n <procdate>20181231</procdate>\n </procstep>\n <procstep>\n <procdesc>Precipitation is monitored by Texas Electronics TR-525USW rain gauges installed at two locations at MMSO. One gauge is located in a cleared area (MMSO_RAINFALL_DATA_20181231) and the other is located beneath the forest canopy (MMSO_CANOPY_RAINFALL_DATA_20181231). The rain gauges have a resolution of 0.01 inch and an accuracy of 1 percent for rainfall intensities up to 2 inches/hour. Fifteen-minute rainfall totals are recorded to a Campbell Scientific CR1000 datalogger from the rain gauge in the cleared area. Rainfall events equal to 0.01 inch are recorded to a HOBO event datalogger at the rain gauge beneath the forest canopy. The rain gauge collectors are subject to periodic clogging due to vegetative debris and insect activity. The rain gauges are not designed to accurately measure the snow water equivalent of snow fall and thus likely underestimate actual total precipitation during the winter. Maintenance of the rain gauges is only performed periodically during site visits to retrieve data, install or maintain equipment, or perform other work. No field calibrations were performed on the rain gauges during the current monitoring period.</procdesc>\n <procdate>20181231</procdate>\n </procstep>\n <procstep>\n <procdesc>Movement is monitored at OBB along the west flank of a displaced soil block that forms the upper part of a historical landslide that damaged the Henry Hudson trail located at the base of the slope in May 2012. Movement of the landslide is monitored using a Measurement Specialties PT8101 cable extension transducer (CET) with a 60-inch range. The CET has an accuracy of 0.1 percent of its full stroke that may result in deviations up to 1.5 millimeters (mm). The transducer is mounted approximately 7 feet above the ground surface on a 2-inch diameter stainless steel pole located on the displaced soil block. The CET was initially connected to another pole located outside the limits of the 2012 landslide by a horizontal stainless steel cable, which was replaced with an Invar cable on August 19, 2016. The stainless steel cable was subject to temperature-related changes in length of up to 1.7 mm. The average eyelet position (or amount of cable extension) measured in centimeters is recorded to a Campbell Scientific CR1000 datalogger at 15-minute intervals.</procdesc>\n <procdate>20181231</procdate>\n </procstep>\n <procstep>\n <procdesc>Soil properties including hysteretic water retention curve parameters and saturated hydraulic conductivity values were estimated with the TRIMM method (Wallyace and Lu., 2012) and refer to the van Genuchten-Mualem parameters described in van Genuchten (1980). All laboratory analyses conducted by Colorado School of Mines in Golden, Colorado. \nReferences: \nvan Genuchten, M.Th., 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils: Soil Science Society America Journal, vol. 44, p. 892-898. \nWayllace, A., and Lu, N., 2012, A transient water release and imbibitions method for rapidly measuring wetting and drying soil water retention and hydraulic conductivity functions: Geotechnical Testing Journal, vol. 35, doi: 10.1520/GTJ103596.</procdesc>\n <procdate>20181231</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>SoilProperties.xlsx</enttypl>\n <enttypd>Soil properties data</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Soil sample</attrlabl>\n <attrdef>Sample identifier name</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <udom>unique identifier</udom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Total density in situ, in g/cm^3</attrlabl>\n <attrdef>Soil bulk density, in-situ</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.41</rdommin>\n <rdommax>1.83</rdommax>\n <attrunit>g/cm^3</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Dry density, in g/cm^3</attrlabl>\n <attrdef>Soil bulk density, dry</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.23</rdommin>\n <rdommax>1.69</rdommax>\n <attrunit>g/cm^3</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Classification</attrlabl>\n <attrdef>Unified Soil Classification System soil classification type</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>SM</edomv>\n <edomvd>silty sand</edomvd>\n <edomvds>Unified Soil Classification System</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>SP</edomv>\n <edomvd>poorly graded sand</edomvd>\n <edomvds>Unified Soil Classification System</edomvds>\n </edom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>w field</attrlabl>\n <attrdef>Gravimetric water content in the field</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.080</rdommin>\n <rdommax>0.301</rdommax>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ksat*, in cm/s</attrlabl>\n <attrdef>Saturated hydraulic conductivity</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.00012</rdommin>\n <rdommax>0.00470</rdommax>\n <attrunit>cm/s</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Gs</attrlabl>\n <attrdef>Specific gravity of soil, in the field</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2.69</rdommin>\n <rdommax>2.69</rdommax>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>\xce\xb8sat^d</attrlabl>\n <attrdef>Saturated water content, drying</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.44</rdommin>\n <rdommax>0.44</rdommax>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>\xce\xb1^d, in 1/kPa</attrlabl>\n <attrdef>van Genuchten (1980) water retention curve parameter, alpha, drying \n(van Genuchten, M.Th., 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils: Soil Science Society America Journal, vol. 44, p. 892-898.)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.31</rdommin>\n <rdommax>0.31</rdommax>\n <attrunit>1/kPa</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n^d</attrlabl>\n <attrdef>van Genuchten (1980) water retention curve parameter, n, drying \n(van Genuchten, M.Th., 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils: Soil Science Society America Journal, vol. 44, p. 892-898.)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2.38</rdommin>\n <rdommax>3.50</rdommax>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ksat^d, in cm/s</attrlabl>\n <attrdef>Saturated hydraulic conductivity, drying</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.00044</rdommin>\n <rdommax>0.00053</rdommax>\n <attrunit>cm/s</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>\xce\xb8r</attrlabl>\n <attrdef>Residual water content</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.01</rdommin>\n <rdommax>0.04</rdommax>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>\xce\xb8sat^w</attrlabl>\n <attrdef>Saturated water content, wetting</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.41</rdommin>\n <rdommax>0.42</rdommax>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>\xce\xb1^w, in 1/kPa</attrlabl>\n <attrdef>van Genuchten (1980) water retention curve parameter, alpha, wetting \n(van Genuchten, M.Th., 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils: Soil Science Society America Journal, vol. 44, p. 892-898.)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3.46</rdommin>\n <rdommax>3.56</rdommax>\n <attrunit>1/kPa</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>n^w</attrlabl>\n <attrdef>van Genuchten (1980) water retention curve parameter, n, wetting \n(van Genuchten, M.Th., 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils: Soil Science Society America Journal, vol. 44, p. 892-898.)</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>1.84</rdommin>\n <rdommax>2.69</rdommax>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>ksat^w, in cm/s</attrlabl>\n <attrdef>Saturated hydraulic conductivity, wetting</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.00040</rdommin>\n <rdommax>0.00045</rdommax>\n <attrunit>cm/s</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>c, in kPa</attrlabl>\n <attrdef>Cohesion</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5.585</rdommin>\n <rdommax>9.085</rdommax>\n <attrunit>kPa</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>phi, in degrees</attrlabl>\n <attrdef>Internal angle of friction</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>36.72661946</rdommin>\n <rdommax>37.21667045</rdommax>\n <attrunit>degrees</attrunit>\n </rdom>\n </attrdomv>\n <attrdomv>\n <edom>\n <edomv>na</edomv>\n <edomvd>not available</edomvd>\n <edomvds>Producer defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>MMSO_BP_DATA_20181231</enttypl>\n <enttypd>Barometric pressure data</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Timestamp</attrlabl>\n <attrdef>Date and Time (Eastern Daylight Time) with format mm/dd/yyyy hh:mm</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8/1/2016 01:15</rdommin>\n <rdommax>1/1/2019 01:00</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TT</attrlabl>\n <attrdef>Thermistor temperature</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>-16.11</rdommin>\n <rdommax>34.15</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Digits</attrlabl>\n <attrdef>A numerical value convertible to pressure; Digits = (Hz/1000)^2 x 1000</attrdef>\n <attrdefs>Campbell Scientific, Inc., AVW200-series instruction manual, p. A-1</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8850.27</rdommin>\n <rdommax>9624.80</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>MMSO_PWP_DATA_20181231</enttypl>\n <enttypd>Pore-water pressure data at Mount Mitchill Scenic Overlook observation well</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Timestamp</attrlabl>\n <attrdef>Date and Time (Eastern Daylight Time) with format mm/dd/yyyy hh:mm</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8/1/2016 01:15</rdommin>\n <rdommax>1/1/2019 01:00</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>TT</attrlabl>\n <attrdef>Thermistor temperature</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>7.48</rdommin>\n <rdommax>19.61</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Digits</attrlabl>\n <attrdef>A numerical value convertible to pressure; Digits = (Hz/1000)^2 x 1000</attrdef>\n <attrdefs>A numerical value convertible to pressure; Digits = (Hz/1000)^2 x 1000</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8610.982</rdommin>\n <rdommax>8867.268</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>MMSO_RAINFALL_DATA_20181231</enttypl>\n <enttypd>Precipitation data (open canopy) at Mount Mitchill Scenic Overlook</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Timestamp</attrlabl>\n <attrdef>Date and Time (Eastern Standard Time) with format mm/dd/yyyy hh:mm</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8/1/2016 01:15</rdommin>\n <rdommax>1/1/2019 01:00</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>15_Min_Total</attrlabl>\n <attrdef>15-minute total rainfall</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.00</rdommin>\n <rdommax>1.25</rdommax>\n <attrunit>inches</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Maintenance_flag</attrlabl>\n <attrdef>Flags the data in "15_Min_Total" that were caused by known rain gauge maintenance; data does not represent precipitation.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>The data in "15_Min_Total" were caused by known rain gauge maintenance; data does not represent precipitation.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>MMSO_VWC_DATA_20181231</enttypl>\n <enttypd>Soil moisture at Mount Mitchill Scenic Overlook</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Timestamp</attrlabl>\n <attrdef>Date and Time (Eastern Daylight Time) with format mm/dd/yyyy hh:mm</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8/1/2016 02:00</rdommin>\n <rdommax>1/1/2019 01:00</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>VWC_Avg_A_1_37</attrlabl>\n <attrdef>Average volumetric water content, sensor A_1_37</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.009</rdommin>\n <rdommax>0.180</rdommax>\n <attrunit>cubic meter/cubic meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>VWC_Avg_B_2_25</attrlabl>\n <attrdef>Average volumetric water content, sensor B_2_25</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.007</rdommin>\n <rdommax>0.124</rdommax>\n <attrunit>cubic meter/cubic meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>VWC_Avg_B_3_50</attrlabl>\n <attrdef>Average volumetric water content, sensor B_3_50</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.024</rdommin>\n <rdommax>0.159</rdommax>\n <attrunit>cubic meter/cubic meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>VWC_Avg_C_4_25</attrlabl>\n <attrdef>Average volumetric water content, sensor C_4_25</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.021</rdommin>\n <rdommax>0.130</rdommax>\n <attrunit>cubic meter/cubic meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>VWC_Avg_C_5_50</attrlabl>\n <attrdef>Average volumetric water content, sensor C_5_50</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.026</rdommin>\n <rdommax>0.187</rdommax>\n <attrunit>cubic meter/cubic meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>OBB_CET_DATA_20181231</enttypl>\n <enttypd>Landslide movement measured by cable extension transducer at Ocean Boulevard Bridge (OBB)</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Timestamp</attrlabl>\n <attrdef>Date and Time (Eastern Daylight Time) with format mm/dd/yyyy hh:mm</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8/1/2016 1:15</rdommin>\n <rdommax>1/1/2019 01:00</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Extension</attrlabl>\n <attrdef>Cable extension</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>18.50919</rdommin>\n <rdommax>72.88669</rdommax>\n <attrunit>centimeters</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>OBB_PWP_DATA_20181231</enttypl>\n <enttypd>Pore-water pressure data at Ocean Boulevard Bridge (OBB) observation wells</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Timestamp</attrlabl>\n <attrdef>Date and Time (Eastern Daylight Time) with format mm/dd/yyyy hh:mm</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8/1/2016 1:15</rdommin>\n <rdommax>1/1/2019 01:00</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>OBB1_TT</attrlabl>\n <attrdef>Thermistor temperature, observation well OBB1</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>5.95</rdommin>\n <rdommax>13.25</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>OBB1_Digits</attrlabl>\n <attrdef>A numerical value convertible to pressure, observation well OBB1; Digits = (Hz/1000)^2 x 1000</attrdef>\n <attrdefs>A numerical value convertible to pressure; Digits = (Hz/1000)^2 x 1000</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8843.587</rdommin>\n <rdommax>8911.997</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>OBB2_TT</attrlabl>\n <attrdef>Thermistor temperature, observation well OBB2</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>3.47</rdommin>\n <rdommax>20.08</rdommax>\n <attrunit>degrees Celsius</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>OBB2_Digits</attrlabl>\n <attrdef>A numerical value convertible to pressure, observation well OBB2; Digits = (Hz/1000)^2 x 1000</attrdef>\n <attrdefs>A numerical value convertible to pressure; Digits = (Hz/1000)^2 x 1000</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8682.195</rdommin>\n <rdommax>8846.889</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>OBB_VWC_DATA_20181231</enttypl>\n <enttypd>Soil moisture at Ocean Boulevard Bridge</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Timestamp</attrlabl>\n <attrdef>Date and Time (Eastern Daylight Time) with format mm/dd/yyyy hh:mm</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8/18/2016 18:00</rdommin>\n <rdommax>1/1/2019 01:00</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>VWC_Avg_D_1_58</attrlabl>\n <attrdef>Average volumetric water content, sensor D_1_58</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.427</rdommin>\n <rdommax>0.463</rdommax>\n <attrunit>cubic meter/cubic meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>VWC_Avg_D_2_35</attrlabl>\n <attrdef>Average volumetric water content, sensor D_2_35</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.081</rdommin>\n <rdommax>0.371</rdommax>\n <attrunit>cubic meter/cubic meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>VWC_Avg_E_3_65</attrlabl>\n <attrdef>Average volumetric water content, sensor E_3_65</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.188</rdommin>\n <rdommax>0.340</rdommax>\n <attrunit>cubic meter/cubic meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>VWC_Avg_E_4_25</attrlabl>\n <attrdef>Average volumetric water content, sensor E_4_25</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0.057</rdommin>\n <rdommax>0.265</rdommax>\n <attrunit>cubic meter/cubic meter</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n <detailed>\n <enttyp>\n <enttypl>MMSO_CANOPY_RAINFALL_DATA_20181231</enttypl>\n <enttypd>Rainfall beneath deciduous forest canopy at Mount Mitchill Scenic Overlook</enttypd>\n <enttypds>Producer defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>Timestamp</attrlabl>\n <attrdef>Date and Time (Eastern Standard Time) with format mm/dd/yyyy hh:mm</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>8/1/2016 0:15</rdommin>\n <rdommax>1/1/2019 01:00</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Temperature</attrlabl>\n <attrdef>Temperature inside rain gage measured by thermistor in Hobo event datalogger</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>2.426</rdommin>\n <rdommax>92.363</rdommax>\n <attrunit>degrees Fahrenheit</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Events</attrlabl>\n <attrdef>1 event equals 0.01 inches of precipitation, cumulative</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>0</rdommin>\n <rdommax>3194</rdommax>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>Maintenance_flag</attrlabl>\n <attrdef>Flags the data in "Events" that were caused by known rain gauge maintenance; data does not represent precipitation.</attrdef>\n <attrdefs>Producer defined</attrdefs>\n <attrdomv>\n <edom>\n <edomv>Y</edomv>\n <edomvd>The data in "Events" were caused by known rain gauge maintenance; data does not represent precipitation.</edomvd>\n <edomvds>Producer-defined</edomvds>\n </edom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntperp>\n <cntper>GS ScienceBase</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable.</distliab>\n </distinfo>\n <metainfo>\n <metd>20210315</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Alex R Fiore</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>3450 Princeton Pike, Suite 110</address>\n <city>Lawrenceville</city>\n <state>NJ</state>\n <postal>08648</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>609-771-3913</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |
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1. [Metabolism estimates for 356 U.S. rivers (2007-2017)](/catalog/item/59bff507e4b091459a5e0982)
2. [Metabolism estimates for 356 U.S. rivers (2007-2017): 2. Spatial data: Site coordinates (2a) and catchment boundaries (2b)](/catalog/item/5a5e3791e4b06e28e9be48c1)
3. [Metabolism estimates for 356 U.S. rivers (2007-2017): 2b. Site catchment boundaries](/catalog/folder/5a5e37bbe4b06e28e9be48c6)
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## Dates
Publication Date2018Start Date2007-10-01End Date2017-01-01
## Citation
Appling, A.P., Read, J.S., Winslow, L.A., Arroita, M., Bernhardt, E.S., Griffiths, N.A., Hall, R.O., Jr., Harvey, J.W., Heffernan, J.B., Stanley, E.H., Stets, E.G., and Yackulic, C.B., 2018, Metabolism estimates for 356 U.S. rivers (2007-2017): U.S. Geological Survey data release, https://doi.org/10.5066/F70864KX.
## Summary
This dataset provides shapefile outlines of the catchments contributing to sites where metabolism was or could have been estimated. The format is a shapefile for all sites combined (.shp, .shx, .dbf, and .prj files). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.
## Summary
This dataset provides shapefile outlines of the catchments contributing to sites where metabolism was or could have been estimated. The format is a shapefile for all sites combined (.shp, .shx, .dbf, and .prj files). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.
## Contacts
Point of Contact
:
[Alison P Appling](/catalog/catalogParty/show?partyId=68008)
Originator
:
[Alison P Appling](/catalog/catalogParty/show?partyId=68008),
[Jordan S Read](/catalog/catalogParty/show?partyId=60525),
[Luke A Winslow](/catalog/catalogParty/show?partyId=65024),
[Maite Arroita](/catalog/catalogParty/show?partyId=67670),
[Emily S Bernhardt](/catalog/catalogParty/show?partyId=50712),
[Natalie A Griffiths](/catalog/catalogParty/show?partyId=67667),
[Robert O Hall Jr.](/catalog/catalogParty/show?partyId=75320),
[Judson W Harvey](/catalog/catalogParty/show?partyId=4306),
[James B Heffernan](/catalog/catalogParty/show?partyId=55589),
[Emily H Stanley](/catalog/catalogParty/show?partyId=66792),
[Edward G Stets](/catalog/catalogParty/show?partyId=9908),
[Charles B Yackulic](/catalog/catalogParty/show?partyId=58832)
Metadata Contact
:
[Jordan S Read](/catalog/catalogParty/show?partyId=60525)
Distributor
:
[U.S. Geological Survey - ScienceBase](/catalog/catalogParty/show?partyId=70157)
## Attached Files - sorting - [Metadata First](/catalog/item/get/5a5e37bbe4b06e28e9be48c6?files.metadataFirst=true\#attached-files-section "Sort files with metadata files first") - [Recent First](/catalog/item/get/5a5e37bbe4b06e28e9be48c6?files.sort=dateUploaded&files.order=desc&files.metadataFirst=false\#attached-files-section "Sort files with most recent first") - [Alphabetical](/catalog/item/get/5a5e37bbe4b06e28e9be48c6?files.sort=name&files.order=asc&files.metadataFirst=false\#attached-files-section "Sort files alphabetically")
Click on title to download individual files attached to this item or download all files listed below as a compressed file.
| | | | |
| --- | --- | --- | --- |
| site\_catchment\_shapefile.xml<br>_Original FGDC Metadata_ | View | 20.94 KB | application/fgdc+xml |
| | | |
| --- | --- | --- |
| catchment\_shapefile.dbf | | 63.14 KB |
| catchment\_shapefile.prj | | 143 Bytes |
| catchment\_shapefile.shp | | 126.21 MB |
| catchment\_shapefile.shx | | 3.23 KB |
Shapefile:
catchment\_shapefile.zip
## Purpose
A continental-scale quantification of energy flow in streams and rivers can facilitate better understanding of links between aquatic energy cycling and ecosystem services, the seasonality and dynamism of stream energy flow, and the effects of human activities on aquatic activity. This data release provides multi-day time series estimates of energy flow as metabolism (gross primary productivity and ecosystem respiration) for 356 streams and rivers across the United States.
## [Map](/catalog/item/imap/5a5e37bbe4b06e28e9be48c6)
[](/catalog/item/imap/5a5e37bbe4b06e28e9be48c6)
## Spatial Services
ScienceBase WMS
ScienceBase WFS
## Tags
Categories
- [Data](/catalog/items?q=&filter=browseCategory%3DData "Data")
Theme
- [007](/catalog/items?q=&filter=tags%3D007 "007 (007, Theme, ISO 19115 Topic Category)")
- [012](/catalog/items?q=&filter=tags%3D012 "012 (012, Theme, ISO 19115 Topic Category)")
- [Aerobic respiration](/catalog/items?q=&filter=tags%3DAerobic+respiration "Aerobic respiration (Aerobic respiration, Theme, USGS Biocomplexity Thesaurus)")
- [Carbon](/catalog/items?q=&filter=tags%3DCarbon "Carbon (Carbon, Theme, USGS Biocomplexity Thesaurus)")
- [Carbon dioxide](/catalog/items?q=&filter=tags%3DCarbon+dioxide "Carbon dioxide (Carbon dioxide, Theme, USGS Biocomplexity Thesaurus)")
- [Dissolved oxygen](/catalog/items?q=&filter=tags%3DDissolved+oxygen "Dissolved oxygen (Dissolved oxygen, Theme, USGS Biocomplexity Thesaurus)")
- [Energy metabolism](/catalog/items?q=&filter=tags%3DEnergy+metabolism "Energy metabolism (Energy metabolism, Theme, USGS Biocomplexity Thesaurus)")
- [Gas exchange](/catalog/items?q=&filter=tags%3DGas+exchange "Gas exchange (Gas exchange, Theme, USGS Biocomplexity Thesaurus)")
- [Oxygen](/catalog/items?q=&filter=tags%3DOxygen "Oxygen (Oxygen, Theme, USGS Biocomplexity Thesaurus)")
- [Photosynthesis](/catalog/items?q=&filter=tags%3DPhotosynthesis "Photosynthesis (Photosynthesis, Theme, USGS Biocomplexity Thesaurus)")
- [Primary production](/catalog/items?q=&filter=tags%3DPrimary+production "Primary production (Primary production, Theme, USGS Biocomplexity Thesaurus)")
- [Rivers](/catalog/items?q=&filter=tags%3DRivers "Rivers (Rivers, Theme, USGS Biocomplexity Thesaurus)")
- [Streams](/catalog/items?q=&filter=tags%3DStreams "Streams (Streams, Theme, USGS Biocomplexity Thesaurus)")
- [Water courses](/catalog/items?q=&filter=tags%3DWater+courses "Water courses (Water courses, Theme, USGS Biocomplexity Thesaurus)")
- [environment](/catalog/items?q=&filter=tags%3Denvironment "environment (environment, Theme, ISO 19115 Topic Category)")
- [inlandWaters](/catalog/items?q=&filter=tags%3DinlandWaters "inlandWaters (inlandWaters, Theme, ISO 19115 Topic Category)")
Place
- [AK](/catalog/items?q=&filter=tags%3DAK "AK (AK, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [AL](/catalog/items?q=&filter=tags%3DAL "AL (AL, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [AR](/catalog/items?q=&filter=tags%3DAR "AR (AR, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Alabama](/catalog/items?q=&filter=tags%3DAlabama "Alabama (Alabama, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Alaska](/catalog/items?q=&filter=tags%3DAlaska "Alaska (Alaska, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Arkansas](/catalog/items?q=&filter=tags%3DArkansas "Arkansas (Arkansas, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [CA](/catalog/items?q=&filter=tags%3DCA "CA (CA, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [CO](/catalog/items?q=&filter=tags%3DCO "CO (CO, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [CT](/catalog/items?q=&filter=tags%3DCT "CT (CT, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [California](/catalog/items?q=&filter=tags%3DCalifornia "California (California, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Colorado](/catalog/items?q=&filter=tags%3DColorado "Colorado (Colorado, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Connecticut](/catalog/items?q=&filter=tags%3DConnecticut "Connecticut (Connecticut, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [DC](/catalog/items?q=&filter=tags%3DDC "DC (DC, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [DE](/catalog/items?q=&filter=tags%3DDE "DE (DE, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Delaware](/catalog/items?q=&filter=tags%3DDelaware "Delaware (Delaware, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [District Of Columbia](/catalog/items?q=&filter=tags%3DDistrict+Of+Columbia "District Of Columbia (District Of Columbia, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [FL](/catalog/items?q=&filter=tags%3DFL "FL (FL, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Florida](/catalog/items?q=&filter=tags%3DFlorida "Florida (Florida, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [GA](/catalog/items?q=&filter=tags%3DGA "GA (GA, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Georgia](/catalog/items?q=&filter=tags%3DGeorgia "Georgia (Georgia, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [IA](/catalog/items?q=&filter=tags%3DIA "IA (IA, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [ID](/catalog/items?q=&filter=tags%3DID "ID (ID, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [IL](/catalog/items?q=&filter=tags%3DIL "IL (IL, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [IN](/catalog/items?q=&filter=tags%3DIN "IN (IN, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Idaho](/catalog/items?q=&filter=tags%3DIdaho "Idaho (Idaho, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Illinois](/catalog/items?q=&filter=tags%3DIllinois "Illinois (Illinois, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Indiana](/catalog/items?q=&filter=tags%3DIndiana "Indiana (Indiana, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Iowa](/catalog/items?q=&filter=tags%3DIowa "Iowa (Iowa, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [KS](/catalog/items?q=&filter=tags%3DKS "KS (KS, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [KY](/catalog/items?q=&filter=tags%3DKY "KY (KY, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Kansas](/catalog/items?q=&filter=tags%3DKansas "Kansas (Kansas, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Kentucky](/catalog/items?q=&filter=tags%3DKentucky "Kentucky (Kentucky, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [LA](/catalog/items?q=&filter=tags%3DLA "LA (LA, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Louisiana](/catalog/items?q=&filter=tags%3DLouisiana "Louisiana (Louisiana, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [MA](/catalog/items?q=&filter=tags%3DMA "MA (MA, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [MD](/catalog/items?q=&filter=tags%3DMD "MD (MD, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [ME](/catalog/items?q=&filter=tags%3DME "ME (ME, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [MI](/catalog/items?q=&filter=tags%3DMI "MI (MI, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [MN](/catalog/items?q=&filter=tags%3DMN "MN (MN, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [MO](/catalog/items?q=&filter=tags%3DMO "MO (MO, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [MS](/catalog/items?q=&filter=tags%3DMS "MS (MS, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [MT](/catalog/items?q=&filter=tags%3DMT "MT (MT, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Maine](/catalog/items?q=&filter=tags%3DMaine "Maine (Maine, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Maryland](/catalog/items?q=&filter=tags%3DMaryland "Maryland (Maryland, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Massachusetts](/catalog/items?q=&filter=tags%3DMassachusetts "Massachusetts (Massachusetts, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Michigan](/catalog/items?q=&filter=tags%3DMichigan "Michigan (Michigan, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Minnesota](/catalog/items?q=&filter=tags%3DMinnesota "Minnesota (Minnesota, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Mississippi](/catalog/items?q=&filter=tags%3DMississippi "Mississippi (Mississippi, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Missouri](/catalog/items?q=&filter=tags%3DMissouri "Missouri (Missouri, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Montana](/catalog/items?q=&filter=tags%3DMontana "Montana (Montana, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [NC](/catalog/items?q=&filter=tags%3DNC "NC (NC, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [ND](/catalog/items?q=&filter=tags%3DND "ND (ND, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [NE](/catalog/items?q=&filter=tags%3DNE "NE (NE, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [NH](/catalog/items?q=&filter=tags%3DNH "NH (NH, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [NJ](/catalog/items?q=&filter=tags%3DNJ "NJ (NJ, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [NM](/catalog/items?q=&filter=tags%3DNM "NM (NM, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [NV](/catalog/items?q=&filter=tags%3DNV "NV (NV, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [NY](/catalog/items?q=&filter=tags%3DNY "NY (NY, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Nebraska](/catalog/items?q=&filter=tags%3DNebraska "Nebraska (Nebraska, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Nevada](/catalog/items?q=&filter=tags%3DNevada "Nevada (Nevada, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [New Hampshire](/catalog/items?q=&filter=tags%3DNew+Hampshire "New Hampshire (New Hampshire, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [New Jersey](/catalog/items?q=&filter=tags%3DNew+Jersey "New Jersey (New Jersey, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [New Mexico](/catalog/items?q=&filter=tags%3DNew+Mexico "New Mexico (New Mexico, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [New York](/catalog/items?q=&filter=tags%3DNew+York "New York (New York, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [North Carolina](/catalog/items?q=&filter=tags%3DNorth+Carolina "North Carolina (North Carolina, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [North Dakota](/catalog/items?q=&filter=tags%3DNorth+Dakota "North Dakota (North Dakota, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [OH](/catalog/items?q=&filter=tags%3DOH "OH (OH, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [OK](/catalog/items?q=&filter=tags%3DOK "OK (OK, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [OR](/catalog/items?q=&filter=tags%3DOR "OR (OR, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Ohio](/catalog/items?q=&filter=tags%3DOhio "Ohio (Ohio, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Oklahoma](/catalog/items?q=&filter=tags%3DOklahoma "Oklahoma (Oklahoma, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Oregon](/catalog/items?q=&filter=tags%3DOregon "Oregon (Oregon, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [PA](/catalog/items?q=&filter=tags%3DPA "PA (PA, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Pennsylvania](/catalog/items?q=&filter=tags%3DPennsylvania "Pennsylvania (Pennsylvania, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [SC](/catalog/items?q=&filter=tags%3DSC "SC (SC, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [SD](/catalog/items?q=&filter=tags%3DSD "SD (SD, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [South Carolina](/catalog/items?q=&filter=tags%3DSouth+Carolina "South Carolina (South Carolina, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [South Dakota](/catalog/items?q=&filter=tags%3DSouth+Dakota "South Dakota (South Dakota, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [TN](/catalog/items?q=&filter=tags%3DTN "TN (TN, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [TX](/catalog/items?q=&filter=tags%3DTX "TX (TX, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Tennessee](/catalog/items?q=&filter=tags%3DTennessee "Tennessee (Tennessee, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Texas](/catalog/items?q=&filter=tags%3DTexas "Texas (Texas, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [US](/catalog/items?q=&filter=tags%3DUS "US (US, Place, Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4, Washington, D.C., National Institute of Standards and Technology)")
- [UT](/catalog/items?q=&filter=tags%3DUT "UT (UT, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [United States](/catalog/items?q=&filter=tags%3DUnited+States "United States (United States, Place, Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4, Washington, D.C., National Institute of Standards and Technology)")
- [Utah](/catalog/items?q=&filter=tags%3DUtah "Utah (Utah, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [VA](/catalog/items?q=&filter=tags%3DVA "VA (VA, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [VT](/catalog/items?q=&filter=tags%3DVT "VT (VT, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
- [Vermont](/catalog/items?q=&filter=tags%3DVermont "Vermont (Vermont, Place, U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST)")
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## Provenance
## Additional Information
### Identifiers
| Type | Scheme | Key |
| --- | --- | --- |
| data\_release | powell\_center\_metabolism | pc1\_spatial\_catchments |
### Shapefile Extension
| boundingBox | | minY | 26.05548278948277 |
| minX | -148.9589998720155 |
| maxY | 60.434750970163854 |
| maxX | -67.15330326118756 | |
| files | | name | catchment\_shapefile.dbf |
| contentType | text/plain |
| pathOnDisk | \_\_disk\_\_f4/98/a9/f498a913c2a294b696a78f5817dfd99490c6d27e |
| imageWidth | 580 |
| imageHeight | 435 |
| size | 64659 |
| dateUploaded | Fri Mar 16 18:11:37 MDT 2018 |
| name | catchment\_shapefile.prj |
| contentType | text/plain |
| pathOnDisk | \_\_disk\_\_0c/9b/0e/0c9b0e21e9eff8391d4a463d87aec47964f9134b |
| imageWidth | 580 |
| imageHeight | 435 |
| size | 143 |
| dateUploaded | Fri Mar 16 18:11:37 MDT 2018 |
| name | catchment\_shapefile.shp |
| contentType | x-gis/x-shapefile |
| pathOnDisk | \_\_disk\_\_65/3e/d4/653ed43f24ca16995c3f851adcc5dbf2d28b4624 |
| size | 132336744 |
| dateUploaded | Fri Mar 16 18:11:37 MDT 2018 |
| name | catchment\_shapefile.shx |
| contentType | x-gis/x-shapefile |
| pathOnDisk | \_\_disk\_\_aa/78/f9/aa78f9673c9d0d233246b400f76b3e5144271164 |
| size | 3308 |
| dateUploaded | Fri Mar 16 18:11:37 MDT 2018 | |
| geometryType | MultiPolygon |
| name | catchment\_shapefile |
| nativeCrs | EPSG:4326 |
... show more ... (Additional Information)
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Appling, A.P.</origin>\n <origin>Read, J.S.</origin>\n <origin>Winslow, L.A.</origin>\n <origin>Arroita, M.</origin>\n <origin>Bernhardt, E.S.</origin>\n <origin>Griffiths, N.A.</origin>\n <origin>Hall, R.O. Jr.</origin>\n <origin>Harvey, J.W.</origin>\n <origin>Heffernan, J.B.</origin>\n <origin>Stanley, E.S.</origin>\n <origin>Stets, E.G.</origin>\n <origin>Yackulic, C.B.</origin>\n <pubdate>2018</pubdate>\n <title>Metabolism estimates for 356 U.S. rivers (2007-2017): 2b. Site catchment boundaries</title>\n <geoform>Shapefile</geoform>\n <pubinfo>\n <pubplace>Online (digital release)</pubplace>\n <publish>U.S. Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/F70864KX</onlink>\n </citeinfo>\n </citation>\n <descript>\n <abstract>This dataset provides shapefile outlines of the catchments contributing to sites where metabolism was or could have been estimated. The format is a shapefile for all sites combined (.shp, .shx, .dbf, and .prj files).\n\nThis dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.</abstract>\n <purpose>A continental-scale quantification of energy flow in streams and rivers can facilitate better understanding of links between aquatic energy cycling and ecosystem services, the seasonality and dynamism of stream energy flow, and the effects of human activities on aquatic activity. This data release provides multi-day time series estimates of energy flow as metabolism (gross primary productivity and ecosystem respiration) for 356 streams and rivers across the United States.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20071001</begdate>\n <enddate>20170101</enddate>\n </rngdates>\n </timeinfo>\n <current>model estimates</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>Update planned for year 2023</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-148.958999872016</westbc>\n <eastbc>-67.1533032611876</eastbc>\n <northbc>60.4347509701639</northbc>\n <southbc>26.0554827894828</southbc>\n </bounding>\n <descgeog>Stream and river monitoring sites in the U.S. Geological Survey\'s observation network</descgeog>\n </spdom>\n <keywords>\n <theme>\n <themekt>USGS Biocomplexity Thesaurus</themekt>\n <themekey>Water courses</themekey>\n <themekey>Rivers</themekey>\n <themekey>Streams</themekey>\n <themekey>Energy metabolism</themekey>\n <themekey>Primary production</themekey>\n <themekey>Photosynthesis</themekey>\n <themekey>Aerobic respiration</themekey>\n <themekey>Gas exchange</themekey>\n <themekey>Carbon</themekey>\n <themekey>Carbon dioxide</themekey>\n <themekey>Oxygen</themekey>\n <themekey>Dissolved oxygen</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>environment</themekey>\n <themekey>inlandWaters</themekey>\n <themekey>007</themekey>\n <themekey>012</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5a5e37bbe4b06e28e9be48c6</themekey>\n </theme>\n <place>\n <placekt>Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4, Washington, D.C., National Institute of Standards and Technology</placekt>\n <placekey>United States</placekey>\n <placekey>US</placekey>\n </place>\n <place>\n <placekt>U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST</placekt>\n <placekey>Alabama</placekey>\n <placekey>AL</placekey>\n <placekey>Alaska</placekey>\n <placekey>AK</placekey>\n <placekey>Arkansas</placekey>\n <placekey>AR</placekey>\n <placekey>California</placekey>\n <placekey>CA</placekey>\n <placekey>Colorado</placekey>\n <placekey>CO</placekey>\n <placekey>Connecticut</placekey>\n <placekey>CT</placekey>\n <placekey>Delaware</placekey>\n <placekey>DE</placekey>\n <placekey>District Of Columbia</placekey>\n <placekey>DC</placekey>\n <placekey>Florida</placekey>\n <placekey>FL</placekey>\n <placekey>Georgia</placekey>\n <placekey>GA</placekey>\n <placekey>Idaho</placekey>\n <placekey>ID</placekey>\n <placekey>Illinois</placekey>\n <placekey>IL</placekey>\n <placekey>Indiana</placekey>\n <placekey>IN</placekey>\n <placekey>Iowa</placekey>\n <placekey>IA</placekey>\n <placekey>Kansas</placekey>\n <placekey>KS</placekey>\n <placekey>Kentucky</placekey>\n <placekey>KY</placekey>\n <placekey>Louisiana</placekey>\n <placekey>LA</placekey>\n <placekey>Maine</placekey>\n <placekey>ME</placekey>\n <placekey>Maryland</placekey>\n <placekey>MD</placekey>\n <placekey>Massachusetts</placekey>\n <placekey>MA</placekey>\n <placekey>Michigan</placekey>\n <placekey>MI</placekey>\n <placekey>Minnesota</placekey>\n <placekey>MN</placekey>\n <placekey>Mississippi</placekey>\n <placekey>MS</placekey>\n <placekey>Missouri</placekey>\n <placekey>MO</placekey>\n <placekey>Montana</placekey>\n <placekey>MT</placekey>\n <placekey>Nebraska</placekey>\n <placekey>NE</placekey>\n <placekey>Nevada</placekey>\n <placekey>NV</placekey>\n <placekey>New Hampshire</placekey>\n <placekey>NH</placekey>\n <placekey>New Jersey</placekey>\n <placekey>NJ</placekey>\n <placekey>New Mexico</placekey>\n <placekey>NM</placekey>\n <placekey>New York</placekey>\n <placekey>NY</placekey>\n <placekey>North Carolina</placekey>\n <placekey>NC</placekey>\n <placekey>North Dakota</placekey>\n <placekey>ND</placekey>\n <placekey>Ohio</placekey>\n <placekey>OH</placekey>\n <placekey>Oklahoma</placekey>\n <placekey>OK</placekey>\n <placekey>Oregon</placekey>\n <placekey>OR</placekey>\n <placekey>Pennsylvania</placekey>\n <placekey>PA</placekey>\n <placekey>South Carolina</placekey>\n <placekey>SC</placekey>\n <placekey>South Dakota</placekey>\n <placekey>SD</placekey>\n <placekey>Tennessee</placekey>\n <placekey>TN</placekey>\n <placekey>Texas</placekey>\n <placekey>TX</placekey>\n <placekey>Utah</placekey>\n <placekey>UT</placekey>\n <placekey>Vermont</placekey>\n <placekey>VT</placekey>\n <placekey>Virginia</placekey>\n <placekey>VA</placekey>\n <placekey>Washington</placekey>\n <placekey>WA</placekey>\n <placekey>West Virginia</placekey>\n <placekey>WV</placekey>\n <placekey>Wisconsin</placekey>\n <placekey>WI</placekey>\n <placekey>Wyoming</placekey>\n <placekey>WY</placekey>\n </place>\n </keywords>\n <accconst>none</accconst>\n <useconst>None, but see Distribution Liability below. Users are advised to read the associated publication thoroughly to understand appropriate use and data limitations.</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Alison P. Appling</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Ecologist</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>520 N Park Ave, Ste 221</address>\n <city>Tucson</city>\n <state>AZ</state>\n <postal>85719</postal>\n <country>U.S.A.</country>\n </cntaddr>\n <cntvoice>520-670-5575</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <datacred>This work was funded by the USGS Powell Center (Working Group title: "Continental-scale overview of stream primary productivity, its links to water quality, and consequences for aquatic carbon biogeochemistry"). Additional financial support came from the USGS NAWQA program and Office of Water Information. NSF grants DEB-1146283 and EF1442501 partially supported ROH. The USGS T.C. Chamberlin Modeling Center provided access to the HTCondor cluster for generating metabolism estimates.</datacred>\n <native>This dataset was generated using open source tools available in the R programming language (R version 3.4.1 (2017-06-30)).\nMac (x86_64-apple-darwin15.6.0) and Windows (x86_64-w64-mingw32) computers were used to generate the data and metadata.\nR packages used: maptools version 0.9-2; mda.streams version 0.9.24; meddle version 0.0.4; maps version 3.2.0; dataRetrieval version 2.7.4; rgeos version 0.3-26; dplyr version 0.7.4; sbtools version 1.1.6; httr version 1.3.1; rgdal version 1.2-16; sp version 1.2-6; whisker version 0.3-2; yaml version 2.1.17; xml2 version 1.2.0; magrittr version 1.5.</native>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted.</attraccr>\n </attracc>\n <logic>Not applicable</logic>\n <complete>Not applicable</complete>\n <posacc>\n <horizpa>\n <horizpar>A formal accuracy assessment of the horizontal positional information in the dataset was not conducted.</horizpar>\n </horizpa>\n <vertacc>\n <vertaccr>A formal accuracy assessment of the vertical positional information in the dataset was not conducted.</vertaccr>\n </vertacc>\n </posacc>\n <lineage>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>US EPA</origin>\n <origin>National Exposure Research Laboratory, RTP</origin>\n <pubdate>2015</pubdate>\n <title>BASINS 4.1 (Better Assessment Science Integrating point & Non-point Sources) Modeling Framework</title>\n <geoform>Shapefiles</geoform>\n <onlink>http://www.epa.gov/exposure-assessment-models/basins</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2017</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>access date</srccurr>\n </srctime>\n <srccitea>epa_basins</srccitea>\n <srccontr>This data source provided catchment boundaries for some sites.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>James A. Falcone</origin>\n <pubdate>2011</pubdate>\n <title>GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow</title>\n <geoform>Shapefiles</geoform>\n <onlink>http://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2011</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Falcone 2011, gagesii_basins</srccitea>\n <srccontr>This data source provided catchment boundaries for some sites.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>James A. Falcone</origin>\n <origin>Nancy T. Baker</origin>\n <origin>Curtis V. Price</origin>\n <pubdate>2017</pubdate>\n <title>Watershed boundaries for study sites of the U.S. Geological Survey Surface Water Trends project</title>\n <geoform>Shapefiles</geoform>\n <onlink>http://dx.doi.org/10.5066/F78S4N29</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2017</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Falcone et al. 2017</srccitea>\n <srccontr>This data source provided catchment boundaries for some sites.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2013</pubdate>\n <title>National Hydrography Geodatabase: The National Map Viewer</title>\n <geoform>Shapefiles</geoform>\n <onlink>https://viewer.nationalmap.gov/viewer/index.html?p=nhd</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2013</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>U.S. Geological Survey 2013</srccitea>\n <srccontr>This data source provided catchment boundaries for some sites.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>U.S. Geological Survey</origin>\n <pubdate>2017</pubdate>\n <title>StreamStats</title>\n <geoform>Shapefiles</geoform>\n <onlink>https://water.usgs.gov/osw/streamstats</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>20170301</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>access date</srccurr>\n </srctime>\n <srccitea>StreamStats</srccitea>\n <srccontr>This data source provided catchment boundaries for some sites.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Naomi Nakagaki</origin>\n <origin>Sharon L. Qi</origin>\n <origin>Jeffrey W. Frey</origin>\n <origin>Daniel T. Button</origin>\n <origin>Nancy T. Baker</origin>\n <origin>Thomas E. Burley</origin>\n <origin>Peter C. Van Metre</origin>\n <pubdate>2016</pubdate>\n <title>Geospatial database of the study boundary, sampled sites, watersheds, and riparian zones developed for the U.S. Geological Survey Midwest Stream Quality Assessment</title>\n <geoform>Shapefiles</geoform>\n <onlink>http://dx.doi.org/10.5066/F7CN7202</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2016</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Nakagaki et al. 2016</srccitea>\n <srccontr>This data source provided catchment boundaries for some sites.</srccontr>\n </srcinfo>\n <srcinfo>\n <srccite>\n <citeinfo>\n <origin>Michael E. Wieczorek</origin>\n <pubdate>20120830</pubdate>\n <title>USGS Streamgage NHDPlus Version 1 Basins 2011</title>\n <geoform>Shapefiles</geoform>\n <onlink>http://water.usgs.gov/GIS/metadata/usgswrd/XML/streamgagebasins.xml</onlink>\n </citeinfo>\n </srccite>\n <typesrc>online</typesrc>\n <srctime>\n <timeinfo>\n <sngdate>\n <caldate>2012</caldate>\n </sngdate>\n </timeinfo>\n <srccurr>publication date</srccurr>\n </srctime>\n <srccitea>Wieczorek 2012</srccitea>\n <srccontr>This data source provided catchment boundaries for some sites.</srccontr>\n </srcinfo>\n <procstep>\n <procdesc>Existing polygons were combined from various sources (see data_source attribute and Source Information). Spatial tools in the R programming language were used to perform the operations of merging and modifying attributes.</procdesc>\n <procdate>20180116</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <spdoinfo>\n <indspref>U.S.A.</indspref>\n <direct>Point</direct>\n <ptvctinf>\n <sdtsterm>\n <sdtstype>G-polygon</sdtstype>\n <ptvctcnt>401</ptvctcnt>\n </sdtsterm>\n </ptvctinf>\n </spdoinfo>\n <spref>\n <horizsys>\n <geograph>\n <latres>0.002</latres>\n <longres>0.002</longres>\n <geogunit>Decimal degrees</geogunit>\n </geograph>\n <geodetic>\n <horizdn>North American Datum of 1983</horizdn>\n <ellips>Geodetic Reference System 80</ellips>\n <semiaxis>6378137.0</semiaxis>\n <denflat>298.257</denflat>\n </geodetic>\n </horizsys>\n </spref>\n <eainfo>\n <detailed>\n <enttyp>\n <enttypl>catchment_shapefile.zip, containing shapefile files with suffixes .dbf, .prj, .shp, and .shx</enttypl>\n <enttypd>Catchment polygons from various sources collated into a single shapefile. Catchments approximately represent the contributing area for gaging stations. Not all stations had catchments delineated, so those included here are a subset of the total.</enttypd>\n <enttypds>Producer Defined</enttypds>\n </enttyp>\n <attr>\n <attrlabl>site_nm</attrlabl>\n <attrdef>Site identifier for the catchment consisting of prefix nwis_ and the USGS National Water Information System (NWIS) site ID.</attrdef>\n <attrdefs>http://dx.doi.org/10.5066/F7P55KJN</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>NA</rdommin>\n <rdommax>NA</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n <attr>\n <attrlabl>dat_src</attrlabl>\n <attrdef>The provider of the catchment polygon</attrdef>\n <attrdefs>Shortname reference for dataset provider; see Source Information for full reference information</attrdefs>\n <attrdomv>\n <rdom>\n <rdommin>NA</rdommin>\n <rdommax>NA</rdommax>\n <attrunit>NA</attrunit>\n </rdom>\n </attrdomv>\n </attr>\n </detailed>\n </eainfo>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey</cntorg>\n <cntper>GS ScienceBase</cntper>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80255</postal>\n <country>United States</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>Shapefile</formname>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://doi.org/10.5066/F70864KX</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200820</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Jordan S. Read</cntper>\n <cntorg>U.S. Geological Survey</cntorg>\n </cntperp>\n <cntpos>Research Civil Engineer</cntpos>\n <cntaddr>\n <addrtype>Mailing and Physical</addrtype>\n <address>8551 Research Way #120</address>\n <city>Middleton</city>\n <state>WI</state>\n <postal>53562</postal>\n <country>U.S.A.</country>\n </cntaddr>\n <cntvoice>608-821-3922</cntvoice>\n <cntfax>608-821-3817</cntfax>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001.1-1999</metstdv>\n </metainfo>\n</metadata>' |
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3. [Bathymetry and Velocity Data from Surveys at Highway Bridges crossing the Missouri River in Kansas City, Missouri, March 2010 through May 2017](/catalog/item/5cc344c5e4b09b8c0b76069c)
4. [Site 11 Missouri River Bathymetry and Velocimetry Data at Structure A5817 on Missouri State Highway 269 in Kansas City, Missouri, March 2010 through June 2015](/catalog/folder/5cc77790e4b09b8c0b77e973)
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## Dates
Publication Date2020-01-29Start Date2010-03-17End Date2015-06-03
## Citation
Huizinga, R.J., 2020, Bathymetry and velocity data from surveys at highway bridges crossing the Missouri River in Kansas City, Missouri, March 2010 through May 2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9L6GW57.
## Summary
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure A5817 on Missouri State Highway 269 in Kansas City, Missouri, in 2010, 2011, and 2015. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position \[...\]
## Summary
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure A5817 on Missouri State Highway 269 in Kansas City, Missouri, in 2010, 2011, and 2015. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time. Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information. Velocity data were collected using an acoustic Doppler current profiler (ADCP) mounted on a survey vessel equipped with a differential global positioning system (DGPS). Data were collected as the vessel traversed the river along planned transect lines distributed throughout the reach. Velocity data were processed using the Velocity Mapping Toolbox (Parsons and others, 2013), and smoothed using neighboring nodes.
## Contacts
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[Richard J Huizinga](/catalog/catalogParty/show?partyId=4834)
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[Richard J Huizinga](/catalog/catalogParty/show?partyId=4834)
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[Richard J Huizinga](/catalog/catalogParty/show?partyId=4834)
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| site-11\_MissouriRiver\_MO-269\_data.xml<br>_Original FGDC Metadata_ | View | 12.79 KB | application/fgdc+xml |
| site-11\_MissouriRiver\_MO-269\_bathymetry\_2015-06.jpg |  | 176.67 KB | image/jpeg |
| site-11\_MissouriRiver\_MO-269\_bathymetry\_2010-03.zip | | 1.61 MB | application/zip |
| site-11\_MissouriRiver\_MO-269\_bathymetry\_2011-07.zip | | 15.13 MB | application/zip |
| site-11\_MissouriRiver\_MO-269\_bathymetry\_2015-06.zip | | 2.14 MB | application/zip |
| site-11\_MissouriRiver\_MO-269\_DA-velocity\_2015-06.zip | | 131.76 KB | application/zip |
## Related External Resources
Type: Download
| | |
| --- | --- |
| Digital Geospatial Datasets | [https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11\_MissouriRiver\_MO-269\_bathymetry\_2010-03.zip](https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11_MissouriRiver_MO-269_bathymetry_2010-03.zip "https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11_MissouriRiver_MO-269_bathymetry_2010-03.zip") |
| Digital Geospatial Datasets | [https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11\_MissouriRiver\_MO-269\_bathymetry\_2011-07.zip](https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11_MissouriRiver_MO-269_bathymetry_2011-07.zip "https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11_MissouriRiver_MO-269_bathymetry_2011-07.zip") |
| Digital Geospatial Datasets | [https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11\_MissouriRiver\_MO-269\_bathymetry\_2015-06.zip](https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11_MissouriRiver_MO-269_bathymetry_2015-06.zip "https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11_MissouriRiver_MO-269_bathymetry_2015-06.zip") |
| Digital Geospatial Datasets | [https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11\_MissouriRiver\_MO-269\_DA-velocity\_2015-06.zip](https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11_MissouriRiver_MO-269_DA-velocity_2015-06.zip "https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11_MissouriRiver_MO-269_DA-velocity_2015-06.zip") |
Type: Citation
| | |
| --- | --- |
| Parsons, D.R., Jackson, P.R., Czuba, J.A., Engel, F.L., Rhoads, B.L., Oberg, K.A., Best, J.L., Mueller, D.S., Johnson, K.K., and Riley, J.D., 2013, Velocity Mapping Toolbox (VMT) A process and visualization suite for moving-vessel ADCP measurements: Earth Surface Processes and Landforms, v. 38, no. 11, p. 1244-1260. | [https://doi.org/10.1002/esp.3367](https://doi.org/10.1002/esp.3367 "https://doi.org/10.1002/esp.3367") |
## Purpose
Hydrographic and velocity data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.
## Preview Image
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## [Map](/catalog/item/imap/5cc77790e4b09b8c0b77e973)
[](/catalog/item/imap/5cc77790e4b09b8c0b77e973)
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(2024-08-29 17:07) | b'<metadata>\n <idinfo>\n <citation>\n <citeinfo>\n <origin>Richard J. Huizinga</origin>\n <pubdate>20200129</pubdate>\n <title>Site 11 Missouri River Bathymetry and Velocimetry Data at Structure A5817 on Missouri State Highway 269 in Kansas City, Missouri, March 2010 through June 2015</title>\n <geoform>tabular digital data</geoform>\n <serinfo>\n <sername>U.S. Geological Survey ScienceBase data release</sername>\n <issue>version 1.0</issue>\n </serinfo>\n <pubinfo>\n <pubplace>Denver, CO</pubplace>\n <publish>U.S. Geological Survey - ScienceBase</publish>\n </pubinfo>\n <onlink>https://doi.org/10.5066/P9L6GW57</onlink>\n <lworkcit>\n <citeinfo>\n <origin>Richard J. Huizinga</origin>\n <pubdate>2020</pubdate>\n <title>Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22\xe2\x80\x9331, 2017</title>\n <geoform>publication</geoform>\n <pubinfo>\n <pubplace>n/a</pubplace>\n <publish>US Geological Survey</publish>\n </pubinfo>\n <onlink>https://doi.org/https://doi.org/10.3133/sir20205018</onlink>\n </citeinfo>\n </lworkcit>\n </citeinfo>\n </citation>\n <descript>\n <abstract>These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure A5817 on Missouri State Highway 269 in Kansas City, Missouri, in 2010, 2011, and 2015. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time. Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information. Velocity data were collected using an acoustic Doppler current profiler (ADCP) mounted on a survey vessel equipped with a differential global positioning system (DGPS). Data were collected as the vessel traversed the river along planned transect lines distributed throughout the reach. Velocity data were processed using the Velocity Mapping Toolbox (Parsons and other, 2013), and smoothed using neighboring nodes.</abstract>\n <purpose>Hydrographic and velocity data were collected along planned survey lines within the study area to capture the hydraulic and geomorphological characteristics of the river. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.</purpose>\n </descript>\n <timeperd>\n <timeinfo>\n <rngdates>\n <begdate>20100317</begdate>\n <enddate>20150603</enddate>\n </rngdates>\n </timeinfo>\n <current>ground condition</current>\n </timeperd>\n <status>\n <progress>Complete</progress>\n <update>As needed</update>\n </status>\n <spdom>\n <bounding>\n <westbc>-94.5374</westbc>\n <eastbc>-94.5300</eastbc>\n <northbc>39.1482</northbc>\n <southbc>39.1436</southbc>\n </bounding>\n </spdom>\n <keywords>\n <theme>\n <themekt>None</themekt>\n <themekey>ADCP</themekey>\n <themekey>bathymetry</themekey>\n <themekey>Acoustic</themekey>\n <themekey>Doppler</themekey>\n <themekey>USGS</themekey>\n <themekey>ASCII</themekey>\n <themekey>Geology</themekey>\n <themekey>inland waters</themekey>\n <themekey>Bathymetry</themekey>\n <themekey>Water Depth</themekey>\n <themekey>inlandWaters</themekey>\n <themekey>Multibeam</themekey>\n <themekey>XYZ</themekey>\n <themekey>U.S. Geological Survey</themekey>\n </theme>\n <theme>\n <themekt>ISO 19115 Topic Category</themekt>\n <themekey>inlandWaters</themekey>\n <themekey>oceans</themekey>\n <themekey>structure</themekey>\n <themekey>elevation</themekey>\n <themekey>geoscientificInformation</themekey>\n <themekey>imageryBaseMapsEarthCover</themekey>\n <themekey>location</themekey>\n </theme>\n <theme>\n <themekt>USGS Metadata Identifier</themekt>\n <themekey>USGS:5cc77790e4b09b8c0b77e973</themekey>\n </theme>\n <place>\n <placekt>Geographic Names Information System (GNIS)</placekt>\n <placekey>Kansas City</placekey>\n <placekey>USA</placekey>\n <placekey>Missouri River</placekey>\n <placekey>Missouri</placekey>\n <placekey>MO</placekey>\n </place>\n </keywords>\n <accconst>None</accconst>\n <useconst>None</useconst>\n <ptcontac>\n <cntinfo>\n <cntperp>\n <cntper>Richard J. Huizinga</cntper>\n <cntorg>USGS Central Midwest Water Science Center</cntorg>\n </cntperp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>1400 Independence Road, MS 100</address>\n <city>Rolla</city>\n <state>MO</state>\n <postal>65401</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>(573) 308-3570</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </ptcontac>\n <browse>\n <browsen>site-11_MissouriRiver_MO-269_bathymetry_2015-06.jpg</browsen>\n <browsed>Map view of the Missouri River near Missouri State Highway 269 in Kansas City, Missouri, on June 3, 2015. Colored region is the channel floor; green, yellow, orange, and red show subsequently shallower depths of the channel, whereas cyan, blue, and purple show subsequently greater depths.</browsed>\n <browset>JPG</browset>\n </browse>\n <datacred>Please recognize the U.S. Geological Survey (USGS) and the Missouri Department of Transportation (MoDOT) for use of these data.</datacred>\n <secinfo>\n <secsys>None</secsys>\n <secclass>Unclassified</secclass>\n <sechandl>None</sechandl>\n </secinfo>\n <native>Environment as of Metadata Creation: Microsoft Windows 7 Enterprise, Service Pack 1; HYPACK Version 18.1.8.0; POSPac MMS Version 8.3.6743.23878</native>\n <crossref>\n <citeinfo>\n <origin>Richard J. Huizinga</origin>\n <pubdate>2012</pubdate>\n <title>Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River in and into Missouri during summer flooding, July\xe2\x80\x93August 2011</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Scientific Investigations Report</sername>\n <issue>2012-5204</issue>\n </serinfo>\n <onlink>http://pubs.usgs.gov/sir/2012/5204/</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Richard J. Huizinga</origin>\n <pubdate>2010</pubdate>\n <title>Bathymetric surveys at highway bridges crossing the Missouri River in Kansas City, Missouri, using a multibeam echo sounder, 2010</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>U.S. Geological Survey Scientific Investigations Report</sername>\n <issue>2010-5207</issue>\n </serinfo>\n <onlink>http://pubs.usgs.gov/sir/2010/5207/</onlink>\n </citeinfo>\n </crossref>\n <crossref>\n <citeinfo>\n <origin>Parsons, D.R.</origin>\n <origin>Jackson, P.R.</origin>\n <origin>Czuba, J.A.</origin>\n <origin>Engel, F.L.</origin>\n <origin>Rhoads, B.L.</origin>\n <origin>Oberg, K.A.</origin>\n <origin>Best, J.L.</origin>\n <origin>Mueller, D.S.</origin>\n <origin>Johnson, K.K.</origin>\n <origin>Riley, J.D.</origin>\n <pubdate>2013</pubdate>\n <title>Velocity Mapping Toolbox (VMT): A processing and visualization suite for moving-vessel ADCP measurements</title>\n <geoform>publication</geoform>\n <serinfo>\n <sername>Earth Surface Processes and Landforms</sername>\n <issue>38: 1244\xe2\x80\x931260</issue>\n </serinfo>\n <onlink>http://onlinelibrary.wiley.com/doi/10.1002/esp.3367/epdf</onlink>\n </citeinfo>\n </crossref>\n </idinfo>\n <dataqual>\n <attracc>\n <attraccr>No formal attribute accuracy tests were conducted on the overall data. Attribute accuracy of each dataset is described in the metadata for that dataset.</attraccr>\n </attracc>\n <logic>No formal logical accuracy tests were conducted on the overall data. Logical accuracy of each dataset is described in the metadata for that dataset.</logic>\n <complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata records carefully for additional details.</complete>\n <lineage>\n <procstep>\n <procdesc>The various datasets of bathymetry and velocity at the site were compiled.</procdesc>\n <procdate>20190430</procdate>\n </procstep>\n <procstep>\n <procdesc>The metadata was created.</procdesc>\n <procdate>20190430</procdate>\n </procstep>\n </lineage>\n </dataqual>\n <distinfo>\n <distrib>\n <cntinfo>\n <cntorgp>\n <cntorg>U.S. Geological Survey - ScienceBase</cntorg>\n </cntorgp>\n <cntaddr>\n <addrtype>mailing and physical</addrtype>\n <address>Denver Federal Center, Building 810, Mail Stop 302</address>\n <city>Denver</city>\n <state>CO</state>\n <postal>80225</postal>\n <country>USA</country>\n </cntaddr>\n <cntvoice>1-888-275-8747</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </distrib>\n <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The names mentioned in this document may be trademarks or registered trademarks of their respective trademark owners.</distliab>\n <stdorder>\n <digform>\n <digtinfo>\n <formname>ZIP</formname>\n <formvern>WinZip 18.5</formvern>\n <formcont>This WinZip file contains the ASCII velocity data file, as well as the associated metadata file and thumbnail.</formcont>\n </digtinfo>\n <digtopt>\n <onlinopt>\n <computer>\n <networka>\n <networkr>https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11_MissouriRiver_MO-269_bathymetry_2010-03.zip</networkr>\n <networkr>https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11_MissouriRiver_MO-269_bathymetry_2011-07.zip</networkr>\n <networkr>https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11_MissouriRiver_MO-269_bathymetry_2015-06.zip</networkr>\n <networkr>https://www.sciencebase.gov/catalog/file/get/5cc77790e4b09b8c0b77e973?name=site-11_MissouriRiver_MO-269_DA-velocity_2015-06.zip</networkr>\n </networka>\n </computer>\n </onlinopt>\n </digtopt>\n </digform>\n <fees>None. This dataset is provided by USGS as a public service.</fees>\n </stdorder>\n </distinfo>\n <metainfo>\n <metd>20200813</metd>\n <metc>\n <cntinfo>\n <cntperp>\n <cntper>Richard J. Huizinga</cntper>\n <cntorg>U.S. Geological Survey - Central Midwest Water Science Center</cntorg>\n </cntperp>\n <cntpos>Hydrologist</cntpos>\n <cntaddr>\n <addrtype>mailing address</addrtype>\n <address>1400 Independence Rd, MS 100</address>\n <city>Rolla</city>\n <state>MO</state>\n <postal>65401</postal>\n <country>US</country>\n </cntaddr>\n <cntvoice>(573) 308-3570</cntvoice>\n <cntemail>[email protected]</cntemail>\n </cntinfo>\n </metc>\n <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>\n <metstdv>FGDC-STD-001-1998</metstdv>\n </metainfo>\n</metadata>' |