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README.md

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----
-license: mit
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+---
+# Dataset Card for Hohmann Titan Orbit Mission Dataset
+
+
+# Metadata
+pretty_name: "Hohmann Titan Orbit Mission Dataset"
+type: synthetic
+language: en
+tags:
+  - space mission
+  - titan
+  - synthetic dataset
+  - mission simulation
+  - aerospace
+  - simulation
+
+# Dataset Information
+task_categories:
+  - other
+task_ids:
+  - closed-domain-qa
+
+# Licensing
+license: mit
+license_links:
+  - https://opensource.org/licenses/MIT
+
+
+# Version and Date
+dataset_version: "1.0.0"
+dataset_release_date: "2024-12-03"
+
+# Authorship
+dataset_authors:
+  - name: "A Taylor"
+    affiliations:
+     
+
+# Card Details
+annotations_creators:
+  - no-annotation
+language_creators:
+  - other
+
+# Dataset Description
+description: >
+  A comprehensive synthetic dataset simulating a space probe mission to Titan 
+  using advanced propulsion and gravitational assist techniques. The dataset 
+  provides researchers with a realistic, multi-dimensional dataset for studying 
+  interplanetary mission design, trajectory optimization, and propulsion system performance.
+
+# Dataset Features
+features:
+  - name: initial_total_mass
+    description: Total initial spacecraft mass
+    type: float
+    unit: kg
+  - name: dry_mass
+    description: Spacecraft mass without propellant
+    type: float
+    unit: kg
+  - name: thrust_level
+    description: Hall effect thruster thrust level
+    type: float
+    unit: mN
+  - name: launch_vehicle
+    description: Type of launch vehicle used
+    type: categorical
+
+# Additional Metadata
+source_datasets: []
+size_categories:
+  - 100K<n<1M
+data_preview_url: null
+
+# Dataset Statistics
+dataset_info:
+  total_entries: 700
+  total_features: 22
+  generation_method: "Scientifically constrained stochastic generation"
+
+# Research Applications
+research_applications:
+  - Trajectory optimization algorithms
+  - Electric propulsion system modeling
+  - Mission risk assessment
+  - Machine learning training for aerospace decision support
+
+# Ethical Considerations
+ethical_considerations:
+  - Fully synthetic dataset
+  - No proprietary information
+  - Suitable for academic research and open scientific inquiry
+
+# Limitations
+limitations:
+  - Synthetic nature of the data
+  - Represents simulated scenarios
+  - Requires validation against real-world mission data
+
+# Citation
+citation: |
+  @dataset{hohmann_titan_orbit_2024,
+    title = {Hohmann Titan Orbit Mission Synthetic Dataset},
+    author = {A Taylor},
+    year = {2024},
+    version = {1.0.0},
+    url = {https://github.com/your-repository/hohmann-titan-orbit-dataset}
+  }
+---
+
+# Hohmann Titan Orbit Mission Dataset Card
+
+## 🚀 Dataset Overview
+
+This synthetic dataset provides a comprehensive simulation of an interplanetary mission to Titan, utilizing advanced propulsion techniques and gravitational assists.
+
+## 📊 Dataset Characteristics
+
+- **Total Entries:** 700
+- **Features:** 22
+- **Generation Method:** Scientifically constrained stochastic generation
+
+## 🔍 Detailed Dataset Information
+
+### 📈 Feature Categories
+- Spacecraft Parameters
+- Propulsion System
+- Celestial Mechanics
+- Gravity Assist Parameters
+- Environmental Factors
+- Mission Constraints
+- Trajectory Data
+- Operational Data
+- Scientific Instrumentation
+- Mission Context
+
+## 📧 Contact
+
+For more information, please contact A Taylor