Upload SsODNet asteroid properties: 1,487,300 objects
Browse files- README.md +169 -0
- data/ssodnet_asteroid_properties.parquet +3 -0
README.md
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---
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license: cc-by-4.0
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pretty_name: "SsODNet Asteroid Physical Properties"
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language:
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- en
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description: "Physical and orbital properties for 1,487,300 asteroids from IMCCE SsODNet — diameters, albedos, taxonomy, masses, densities, and rotation periods compiled from published literature."
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task_categories:
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- tabular-classification
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- tabular-regression
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tags:
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- space
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- asteroids
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- physical-properties
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- imcce
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- orbital-mechanics
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- open-data
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- tabular-data
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size_categories:
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- 1M<n<10M
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/ssodnet_asteroid_properties.parquet
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default: true
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---
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# SsODNet Asteroid Physical Properties
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*Part of the [Orbital Mechanics Datasets](https://huggingface.co/collections/juliensimon/orbital-mechanics-datasets-69c24caca4ab3934c9856994) collection on Hugging Face.*
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Physical and dynamical properties of **1,487,300** asteroids and dwarf planets from the
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IMCCE (Paris Observatory) Solar System Open Database Network (SsODNet). This is the most
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comprehensive asteroid characterization catalog available, compiling best estimates from
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thousands of published studies.
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## Dataset description
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SsODNet aggregates physical property measurements from the astronomical literature into
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a single, curated "best estimates" flat table (ssoBFT). For each asteroid, IMCCE selects
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the most reliable published value for each property using a transparent ranking scheme.
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Properties include diameters, albedos, taxonomic classifications, masses, densities,
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rotation periods, and thermal inertia — alongside orbital elements and dynamical family
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memberships.
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The fill factor varies by property: orbital elements are available for nearly all objects,
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while physical measurements like mass (429 objects) and density
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(468 objects) are known for far fewer.
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## Schema
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| Column | Type | Description |
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|--------|------|-------------|
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| `sso_id` | string | SsODNet unique identifier |
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| `sso_number` | Int64 | IAU asteroid catalog number (null for unnumbered) |
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| `sso_name` | string | IAU name (null if unnamed) |
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| `sso_type` | string | Object type (Asteroid, Dwarf Planet, etc.) |
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| `sso_class` | string | Dynamical class (MB, NEA, Trojan, Centaur, KBO, etc.) |
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| `semi_major_axis_au` | float64 | Orbital semi-major axis (AU) |
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| `eccentricity` | float64 | Orbital eccentricity |
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| `inclination_deg` | float64 | Orbital inclination (degrees) |
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| `orbital_period_yr` | float64 | Orbital period (years) |
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| `periapsis_distance_au` | float64 | Perihelion distance (AU) |
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| `apoapsis_distance_au` | float64 | Aphelion distance (AU) |
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| `tisserand_jupiter` | float64 | Tisserand parameter w.r.t. Jupiter |
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| `family_number` | Int64 | Dynamical family number |
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| `family_name` | string | Dynamical family name |
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| `family_status` | string | Family membership status |
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| `absolute_magnitude` | float64 | Absolute magnitude H (best estimate) |
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| `absolute_magnitude_err_min` | float64 | H magnitude lower error bound |
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| `absolute_magnitude_err_max` | float64 | H magnitude upper error bound |
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| `diameter_km` | float64 | Effective diameter (km, best estimate) |
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| `diameter_err_min_km` | float64 | Diameter lower error bound (km) |
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| `diameter_err_max_km` | float64 | Diameter upper error bound (km) |
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| `albedo` | float64 | Geometric albedo (best estimate) |
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| `albedo_err_min` | float64 | Albedo lower error bound |
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| `albedo_err_max` | float64 | Albedo upper error bound |
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| `mass_kg` | float64 | Mass (kg, best estimate) |
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| `mass_err_min_kg` | float64 | Mass lower error bound (kg) |
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| `mass_err_max_kg` | float64 | Mass upper error bound (kg) |
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| `density_g_cm3` | float64 | Bulk density (g/cm3, best estimate) |
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| `density_err_min_g_cm3` | float64 | Density lower error bound (g/cm3) |
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| `density_err_max_g_cm3` | float64 | Density upper error bound (g/cm3) |
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| `taxonomy_class` | string | Taxonomic class (e.g., S, C, X, V) |
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| `taxonomy_complex` | string | Taxonomic complex (e.g., S-complex, C-complex) |
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| `taxonomy_scheme` | string | Classification scheme (Bus-DeMeo, Tholen, etc.) |
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| `taxonomy_waverange` | string | Wavelength range used for classification |
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| `taxonomy_technique` | string | Technique used for classification |
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| `thermal_inertia` | float64 | Thermal inertia (J m-2 s-0.5 K-1) |
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| `thermal_inertia_err_min` | float64 | Thermal inertia lower error bound |
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| `thermal_inertia_err_max` | float64 | Thermal inertia upper error bound |
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| `rotation_period_h` | float64 | Rotation period (hours, best estimate) |
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| `rotation_period_err_min_h` | float64 | Rotation period lower error bound (hours) |
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| `rotation_period_err_max_h` | float64 | Rotation period upper error bound (hours) |
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| `moid_earth_au` | float64 | Minimum orbit intersection distance with Earth (AU) |
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## Quick stats
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- **1,487,300** asteroids and dwarf planets
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- **149,496** with measured diameter
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- **149,497** with measured albedo
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- **170,933** with taxonomic classification
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- **429** with mass estimate
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- **468** with density estimate
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- **51,005** with rotation period
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- **255,987** with dynamical family assignment
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("juliensimon/ssodnet-asteroid-properties", split="train")
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df = ds.to_pandas()
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# Taxonomy distribution
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df["taxonomy_class"].value_counts().head(10)
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# Large asteroids with known density
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dense = df[df["density_g_cm3"].notna() & (df["diameter_km"] > 100)]
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dense[["sso_name", "diameter_km", "density_g_cm3", "taxonomy_class"]].sort_values(
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"diameter_km", ascending=False
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)
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# Near-Earth asteroids sorted by MOID
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neas = df[df["sso_class"] == "NEA"].sort_values("moid_earth_au")
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neas[["sso_name", "diameter_km", "moid_earth_au", "albedo"]].head(20)
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# Diameter vs albedo by taxonomy
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import matplotlib.pyplot as plt
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sample = df.dropna(subset=["diameter_km", "albedo", "taxonomy_complex"])
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for cpx, grp in sample.groupby("taxonomy_complex"):
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plt.scatter(grp["diameter_km"], grp["albedo"], s=1, alpha=0.4, label=cpx)
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plt.xscale("log")
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plt.xlabel("Diameter (km)")
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plt.ylabel("Albedo")
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plt.legend(fontsize=7)
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```
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## Data source
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[IMCCE SsODNet — Solar System Open Database Network](https://ssp.imcce.fr/webservices/ssodnet/)
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The ssoBFT (Best Flat Table) compiles best estimates of physical and dynamical properties
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for all known asteroids and dwarf planets. Data originates from thousands of peer-reviewed
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publications, curated by IMCCE (Paris Observatory). See Berthier et al. (2023),
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"SsODNet: The Solar System Open Database Network",
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[A&A 671, A151](https://doi.org/10.1051/0004-6361/202244878).
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## Pipeline
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Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
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## Citation
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```bibtex
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@dataset{ssodnet_asteroid_properties,
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author = {Simon, Julien},
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title = {SsODNet Asteroid Physical Properties},
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year = {2026},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/juliensimon/ssodnet-asteroid-properties},
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note = {Based on IMCCE SsODNet ssoBFT, Berthier et al. (2023)}
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}
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```
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## License
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[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
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data/ssodnet_asteroid_properties.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:2942a20c07ffbb1ee3e58abcf23996ce380113d8cfe3200536828c67989f35b9
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size 94304360
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