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Update TNO/Centaur properties: 652 measurements

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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ pretty_name: "TNO/Centaur Physical Properties (PDS)"
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+ language:
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+ - en
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+ description: "Physical properties of Trans-Neptunian Objects and Centaurs from PDS Small Bodies Node. 652 measurements with diameters, albedos, and densities."
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+ task_categories:
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+ - tabular-regression
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+ tags:
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+ - space
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+ - tno
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+ - centaur
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+ - kuiper-belt
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+ - trans-neptunian
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+ - planetary-science
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+ - pds
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+ - open-data
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+ - tabular-data
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+ - parquet
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+ size_categories:
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+ - n<1K
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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/tno_centaur_properties.parquet
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+ default: true
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+ ---
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+
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+ # TNO/Centaur Physical Properties (PDS)
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+
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+ <div align="center">
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+ <img src="banner.jpg" alt="Rosetta spacecraft approaching Comet 67P/Churyumov-Gerasimenko" width="400">
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+ <p><em>Credit: NASA/ESA</em></p>
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+ </div>
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+
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+ *Part of the [Asteroids & Small Bodies Datasets](https://huggingface.co/collections/juliensimon/asteroids-and-small-bodies-69c792b1e0240f3bf1235c66) collection on Hugging Face.*
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+
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+ A compilation of **652** physical property measurements for Trans-Neptunian Objects (TNOs) and Centaurs from the [PDS Small Bodies Node](https://sbnarchive.psi.edu/). Includes diameters, geometric albedos, and bulk densities with uncertainties, cross-referenced with orbital elements and dynamical classifications.
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+
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+ ## Dataset description
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+
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+ Trans-Neptunian Objects (TNOs) inhabit the outer reaches of the solar system beyond Neptune's orbit (a > 30 AU). They are remnants of the primordial planetesimal disk, preserved in cold storage for 4.5 billion years, and represent the least-processed material in the solar system. Centaurs are dynamically unstable objects on orbits that cross the giant planets, thought to be TNOs in transition toward the inner solar system.
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+
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+ Physical characterization of these distant objects is exceptionally challenging. Diameters and albedos are measured via thermal emission (Spitzer, Herschel), stellar occultations, or resolved imaging (HST, adaptive optics). Density measurements require binary or multiple systems where masses can be determined from mutual orbits. This dataset compiles measurements from multiple techniques and references, with some objects having multiple independent measurements.
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+
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+ The dynamical classification reveals the structure of the trans-Neptunian region: classical Kuiper Belt objects (cubewanos), resonant populations (plutinos in 3:2, twotinos in 2:1), scattered disk objects, and detached/extreme objects like Sedna.
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+
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+ ## Dynamical types
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+
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+ | Type | Measurements |
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+ |------|-------------:|
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+ | CEN | 183 |
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+ | PLU | 119 |
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+ | TNO | 103 |
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+ | CUB | 99 |
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+ | SAT | 48 |
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+ | SDO | 38 |
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+ | HAU | 30 |
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+ | 1:2 | 12 |
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+ | 2:5 | 7 |
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+ | 3:10 | 3 |
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+ | 3:8 | 2 |
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+ | 3:5 | 2 |
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+ | 4:7 | 2 |
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+ | 2:7 | 2 |
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+ | NL4 | 2 |
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+
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+ ## Quick stats
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+
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+ - **652** total measurements (~194 unique objects)
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+ - **493** with measured effective diameter
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+ - **652** with geometric albedo
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+ - **652** with bulk density
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+ - Largest object: **3263 km** diameter
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("juliensimon/tno-centaur-properties", split="train")
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+ df = ds.to_pandas()
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+
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+ # Diameter vs albedo
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+ import matplotlib.pyplot as plt
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+ valid = df.dropna(subset=["effective_diameter_km", "albedo"])
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+ plt.scatter(valid["effective_diameter_km"], valid["albedo"], alpha=0.5, s=15)
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+ plt.xscale("log")
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+ plt.xlabel("Effective Diameter (km)")
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+ plt.ylabel("Geometric Albedo")
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+ plt.title("TNO/Centaur Size vs Albedo")
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+ plt.show()
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+
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+ # Orbital distribution
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+ plt.scatter(df["semimajor_axis_au"], df["eccentricity"],
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+ c=df["inclination_deg"], cmap="viridis", alpha=0.5, s=10)
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+ plt.colorbar(label="Inclination (deg)")
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+ plt.xlabel("Semimajor Axis (AU)")
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+ plt.ylabel("Eccentricity")
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+ plt.title("TNO/Centaur Orbital Elements")
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+ plt.show()
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+
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+ # Objects with density measurements
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+ dense = df[df["density_g_cm3"].notna()].drop_duplicates("provisional_designation")
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+ print(f"Objects with density: {len(dense)}")
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+ print(dense[["asteroid_name", "density_g_cm3", "effective_diameter_km"]].to_string())
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+ ```
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+
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+ ## Data source
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+
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+ PDS Small Bodies Node, TNO-Centaur Diameter/Albedo/Density compilation (V1.0):
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+ [sbnarchive.psi.edu](https://sbnarchive.psi.edu/pds4/non_mission/tno-centaur_diam-albedo-density_V1_0/)
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+
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+ ## Related datasets
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+
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+ - [JPL Small Body Database](https://huggingface.co/datasets/juliensimon/sbdb) — 1.4M+ asteroid/comet orbital elements
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+ - [Nesvorny Asteroid Families](https://huggingface.co/datasets/juliensimon/nesvorny-families) — 171K asteroid family members
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+ - [NEOWISE](https://huggingface.co/datasets/juliensimon/neowise) — Near-Earth object diameters and albedos
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+ - [Comets (MPC)](https://huggingface.co/datasets/juliensimon/mpc-comets) — Minor Planet Center comet catalog
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+
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+ ## Pipeline
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+
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+ Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
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+
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+ ## Support
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+
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+ If you find this dataset useful, please give it a ❤️ on the [dataset page](https://huggingface.co/datasets/juliensimon/tno-centaur-properties) and share feedback in the Community tab! Also consider giving a ⭐ to the [space-datasets](https://github.com/juliensimon/space-datasets) repo.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @dataset{tno_centaur_properties,
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+ author = {Simon, Julien},
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+ title = {TNO/Centaur Physical Properties (PDS)},
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+ year = {2026},
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+ publisher = {Hugging Face},
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+ url = {https://huggingface.co/datasets/juliensimon/tno-centaur-properties},
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+ note = {Based on PDS Small Bodies Node TNO-Centaur compilation}
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+ }
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+ ```
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+
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+ ## License
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+
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+ [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
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