Update README.md

README.md

@@ -21,7 +21,7 @@ size_categories:
 
 # Global Streetscapes
 
-Repository for the tabular portion of the [Global Streetscapes dataset project](https://ual.sg/project/global-streetscapes/) by the [Urban Analytics Lab (UAL)](https://ual.sg/) at the National University of Singapore (NUS).
+Repository for the tabular portion of the [Global Streetscapes dataset](https://ual.sg/project/global-streetscapes/) by the [Urban Analytics Lab (UAL)](https://ual.sg/) at the National University of Singapore (NUS).
 
 Content breakdown:
 * `data/` (37 GB)
@@ -38,18 +38,18 @@ Content breakdown:
 * `cities688.csv` contains basic information for the 688 cities included in the dataset, such as population, continent, image count etc.
 * `info.csv` overviews the content of each `csv` file in `/data` and explains the 346 features 
 
-This repository has a total size of about 62+ GB. Please make sure your device has sufficient storage especially if you are downloading the entire repo.
+This repository has a total size of about 62 GB.
 
 Please follow this [guide](https://huggingface.co/docs/huggingface_hub/guides/download) from huggingface for download instructions. Please avoid using 'git clone' to download the repo as Git stores the files twice and will double the disk space usage to 124+ GB.
 
-To download the imagery portion (total 10 Million images, ~6TB), you can follow the code and documentation in our [GitHub repo](https://github.com/ualsg/global-streetscapes).
-Our [Wiki](https://github.com/ualsg/global-streetscapes/wiki/2-Download-images) also contains instructions and demo on how to filter the dataset for a subset of data of your interest and download the image files for them.
+To download the imagery portion (10 million images, ~6TB), please follow the code and documentation in our [GitHub repo](https://github.com/ualsg/global-streetscapes).
+Our [Wiki](https://github.com/ualsg/global-streetscapes/wiki/2-Download-images) contains instructions and a demo on how to filter the dataset for a subset of data of your interest and download the image files for them.
 
-Read more about this project on the [project website](https://ual.sg/project/global-streetscapes/), which includes an overview of the project together with the background, [paper](https://www.sciencedirect.com/science/article/pii/S0924271624002612), and FAQ.
+Read more about this project on [its website](https://ual.sg/project/global-streetscapes/), which includes an overview of this effort together with the background, [paper](https://doi.org/10.1016/j.isprsjprs.2024.06.023), examples, and FAQ.
 
-To cite this work:
+To cite this work, please refer to the paper:
 
-Hou Y, Quintana M, Khomiakov M, Yap W, Ouyang J, Ito K, Wang Z, Zhao T, Biljecki F (2024): Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics. ISPRS Journal of Photogrammetry and Remote Sensing 215: 216-238.
+Hou Y, Quintana M, Khomiakov M, Yap W, Ouyang J, Ito K, Wang Z, Zhao T, Biljecki F (2024): Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics. ISPRS Journal of Photogrammetry and Remote Sensing 215: 216-238. doi:[10.1016/j.isprsjprs.2024.06.023](https://doi.org/10.1016/j.isprsjprs.2024.06.023)
 
 BibTeX:
 ```
@@ -62,4 +62,6 @@ BibTeX:
  volume = {215},
  year = {2024}
 }
-```
+```
+
+A free version (postprint / author-accepted manuscript) can be downloaded [here](https://ual.sg/publication/2024-global-streetscapes/).