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--- |
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pretty_name: "titan-hohmann-transfer-orbit Dataset" |
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type: synthetic |
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language: en |
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tags: |
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- space mission |
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- titan |
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- synthetic dataset |
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- mission simulation |
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- aerospace |
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- simulation |
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task_categories: |
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- other |
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task_ids: |
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- closed-domain-qa |
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license: mit |
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license_links: |
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- https://opensource.org/licenses/MIT |
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dataset_version: "1.0.0" |
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dataset_release_date: "2024-12-03" |
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dataset_authors: |
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- name: "A Taylor" |
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affiliations: |
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annotations_creators: |
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- no-annotation |
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language_creators: |
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- other |
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description: > |
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A comprehensive synthetic dataset simulating a space probe mission to Titan |
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using advanced propulsion and gravitational assist techniques. The dataset |
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provides researchers with a realistic, multi-dimensional dataset for studying |
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interplanetary mission design, trajectory optimization, and propulsion system performance. |
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features: |
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- name: initial_total_mass |
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description: Total initial spacecraft mass |
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type: float |
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unit: kg |
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- name: dry_mass |
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description: Spacecraft mass without propellant |
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type: float |
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unit: kg |
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- name: thrust_level |
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description: Hall effect thruster thrust level |
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type: float |
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unit: mN |
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- name: launch_vehicle |
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description: Type of launch vehicle used |
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type: categorical |
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source_datasets: [] |
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size_categories: |
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- 100K<n<1M |
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data_preview_url: null |
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dataset_info: |
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total_entries: 700 |
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total_features: 22 |
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generation_method: "Scientifically constrained stochastic generation" |
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research_applications: |
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- Trajectory optimization algorithms |
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- Electric propulsion system modeling |
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- Mission risk assessment |
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- Machine learning training for aerospace decision support |
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ethical_considerations: |
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- Fully synthetic dataset |
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- No proprietary information |
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- Suitable for academic research and open scientific inquiry |
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limitations: |
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- Synthetic nature of the data |
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- Represents simulated scenarios |
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- Requires validation against real-world mission data |
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citation: | |
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@dataset{titan-hohmann-transfer-orbit_2024, |
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title = {titan-hohmann-transfer-orbit Synthetic Dataset}, |
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author = {A Taylor}, |
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year = {2024}, |
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version = {1.1.0}, |
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url = {https://github.com/your-repository/hohmann-titan-orbit-dataset} |
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} |
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--- |
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# titan-hohmann-transfer-orbit Dataset Card |
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## π Dataset Overview |
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This synthetic dataset provides a comprehensive simulation of an interplanetary mission to Titan, utilizing advanced propulsion techniques and gravitational assists. |
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## π Dataset Characteristics |
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- **Total Entries:** 700 |
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- **Features:** 22 |
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- **Generation Method:** Scientifically constrained stochastic generation |
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## π Detailed Dataset Information |
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### π Feature Categories |
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- Spacecraft Parameters |
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- Propulsion System |
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- Celestial Mechanics |
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- Gravity Assist Parameters |
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- Environmental Factors |
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- Mission Constraints |
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- Trajectory Data |
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- Operational Data |
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- Scientific Instrumentation |
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- Probe Mission Context |
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## π§ Contact |
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For more information, please contact **A Taylor @ hf.co/taylor658** |