Upload Asterank asteroid mining economics: 600,000 asteroids

README.md

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+---
+license: cc-by-4.0
+pretty_name: "Asterank Asteroid Mining Economics"
+language:
+  - en
+description: "Mining economics for ~600K asteroids: estimated value, profit, delta-v accessibility, spectral types, and orbital elements from the Asterank project."
+task_categories:
+  - tabular-classification
+  - tabular-regression
+tags:
+  - space
+  - asteroids
+  - mining
+  - economics
+  - orbital-mechanics
+  - open-data
+  - tabular-data
+size_categories:
+  - 100K<n<1M
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/asterank_asteroid_mining.parquet
+    default: true
+---
+
+# Asterank Asteroid Mining Economics
+
+*Part of the [Orbital Mechanics Datasets](https://huggingface.co/collections/juliensimon/orbital-mechanics-datasets-69c24caca4ab3934c9856994) collection on Hugging Face.*
+
+Economic analysis of **600,000** asteroids for space mining potential, combining NASA/JPL orbital data
+with estimated accessibility and resource value from the [Asterank](https://asterank.com/) project.
+
+## Dataset description
+
+Asterank ranks nearly 600,000 cataloged asteroids by estimated mining profitability. It
+combines multiple data sources -- NASA/JPL Small-Body Database orbital elements, spectral
+classifications, and published scientific papers on asteroid composition -- to estimate each
+asteroid's resource value and the cost of reaching it.
+
+Key economic fields:
+- **estimated_value_usd** -- total estimated resource value based on spectral type and size
+- **estimated_profit_usd** -- value minus estimated mission cost (delta-v dependent)
+- **closeness_score** -- accessibility metric (lower delta-v = higher closeness)
+- **asterank_score** -- composite ranking combining value, profit, and accessibility
+
+## Schema
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `full_name` | string | Full formatted name (e.g. "1 Ceres") |
+| `name` | string | IAU name if assigned (e.g. "Ceres") |
+| `designation_number` | int | Permanent designation number |
+| `provisional_designation` | string | Provisional designation (e.g. "2024 YR4") |
+| `orbit_class` | string | Orbital class (MBA, APO, ATE, AMO, etc.) |
+| `spectral_type_smassii` | string | SMASS II spectral classification |
+| `spectral_type_bus` | string | Bus (Tholen-like) spectral classification |
+| `spectral_type_tholen` | string | Tholen spectral classification |
+| `is_neo` | bool | Near-Earth Object flag |
+| `is_pha` | bool | Potentially Hazardous Asteroid flag |
+| `absolute_magnitude` | float64 | Absolute magnitude H |
+| `magnitude_slope` | float64 | Magnitude slope parameter G |
+| `diameter_km` | float64 | Measured diameter (km) |
+| `diameter_sigma_km` | float64 | Diameter uncertainty (km) |
+| `albedo` | float64 | Geometric albedo |
+| `extent_km` | string | Tri-axial extents (km) |
+| `rotation_period_h` | float64 | Rotation period (hours) |
+| `gm_km3_s2` | float64 | GM gravitational parameter (km^3/s^2) |
+| `semi_major_axis_au` | float64 | Semi-major axis (AU) |
+| `eccentricity` | float64 | Orbital eccentricity |
+| `inclination_deg` | float64 | Orbital inclination (degrees) |
+| `ascending_node_deg` | float64 | Longitude of ascending node (degrees) |
+| `argument_perihelion_deg` | float64 | Argument of perihelion (degrees) |
+| `mean_anomaly_deg` | float64 | Mean anomaly (degrees) |
+| `perihelion_au` | float64 | Perihelion distance (AU) |
+| `aphelion_au` | float64 | Aphelion distance (AU) |
+| `orbital_period_yr` | float64 | Orbital period (years) |
+| `mean_motion_deg_day` | float64 | Mean motion (degrees/day) |
+| `tisserand_jupiter` | float64 | Tisserand parameter w.r.t. Jupiter |
+| `earth_moid_au` | float64 | Minimum orbit intersection distance to Earth (AU) |
+| `earth_moid_ld` | float64 | Earth MOID in Lunar Distances |
+| `jupiter_moid_au` | float64 | Minimum orbit intersection distance to Jupiter (AU) |
+| `estimated_value_usd` | float64 | Estimated total resource value (USD) |
+| `estimated_profit_usd` | float64 | Estimated mining profit (USD) |
+| `closeness_score` | float64 | Accessibility score (higher = easier to reach) |
+| `asterank_score` | float64 | Composite Asterank ranking score |
+| `orbit_condition_code` | float64 | JPL orbit condition code (0=best, 9=worst) |
+| `data_arc_days` | float64 | Observation arc length (days) |
+| `n_obs_used` | float64 | Number of observations used in orbit fit |
+| `first_obs_date` | datetime | Date of first observation |
+| `last_obs_date` | datetime | Date of last observation |
+| `orbit_rms` | float64 | Orbit fit RMS residual |
+| `color_index_bv` | float64 | B-V color index |
+| `color_index_ub` | float64 | U-B color index |
+
+## Quick stats
+
+- **600,000** asteroids ranked by mining economics
+- **1,800** Near-Earth Objects, **0** Potentially Hazardous
+- **595,200** with measured diameters, **600,000** with spectral types
+- **7** distinct orbital classes
+- Most valuable: **511 Davida (1903 LU)** at **$15,382,627,787,839,414,272** (profit: $1,064,010,723,169,747,328)
+- Median estimated value: **$0**
+- Total estimated value of all asteroids: **$105,731,413,739,251,945,177,088**
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("juliensimon/asterank-asteroid-mining", split="train")
+df = ds.to_pandas()
+
+# Top 20 most profitable asteroids
+top_profit = df.nlargest(20, "estimated_profit_usd")[
+    ["full_name", "orbit_class", "spectral_type_smassii",
+     "estimated_value_usd", "estimated_profit_usd", "earth_moid_au"]
+]
+
+# Near-Earth asteroids sorted by profit
+neo_mining = df[df["is_neo"] == True].nlargest(50, "estimated_profit_usd")
+
+# Value distribution by orbit class
+by_class = df.groupby("orbit_class")["estimated_value_usd"].agg(["count", "median", "sum"])
+by_class = by_class.sort_values("sum", ascending=False)
+
+# Accessible targets: low MOID + high profit
+accessible = df[
+    (df["earth_moid_au"] < 0.1) &
+    (df["estimated_profit_usd"] > 1e9)
+].sort_values("estimated_profit_usd", ascending=False)
+```
+
+## Data source
+
+[Asterank](https://asterank.com/) by Ian Webster, combining data from NASA/JPL Small-Body
+Database, spectral survey data, and published asteroid composition models.
+
+## Related datasets
+
+- [neo-close-approaches](https://huggingface.co/datasets/juliensimon/neo-close-approaches) -- NEO close approaches from NASA JPL
+- [space-track-satcat](https://huggingface.co/datasets/juliensimon/space-track-satcat) -- Full NORAD satellite catalog
+- [space-launch-log](https://huggingface.co/datasets/juliensimon/space-launch-log) -- Global launch history
+
+## Pipeline
+
+Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
+
+## Citation
+
+```bibtex
+@dataset{asterank_mining,
+  author = {Simon, Julien},
+  title = {Asterank Asteroid Mining Economics},
+  year = {2026},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/datasets/juliensimon/asterank-asteroid-mining},
+  note = {Based on Asterank (asterank.com) asteroid mining economics data}
+}
+```
+
+## License
+
+[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)

data/asterank_asteroid_mining.parquet

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