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juliensimon/planetary-nebulae

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Hugging Face2026-03-25 更新2026-03-29 收录
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--- license: cc-by-4.0 pretty_name: "Planetary Nebulae (MUSE Survey)" language: - en description: "Planetary nebulae identified by MUSE (Multi Unit Spectroscopic Explorer). Sourced via VizieR CDS Strasbourg." task_categories: - tabular-classification tags: - space - planetary-nebula - muse - astronomy - open-data size_categories: - 1K<n<10K --- # Planetary Nebulae (MUSE Survey) Catalog of **1,715** planetary nebulae from the MUSE (Multi Unit Spectroscopic Explorer) survey, with positions, velocities, and morphological classifications. ## Dataset description Planetary nebulae (PNe) are glowing shells of ionized gas expelled by intermediate-mass stars at the end of their lives. They are important distance indicators and tracers of stellar populations and chemical enrichment. This catalog from Jacoby et al. (2024) presents PNe identified and characterized using the MUSE integral-field spectrograph on ESO's Very Large Telescope, providing unprecedented spectroscopic detail. ## Quick stats - **1,715** planetary nebulae - **0** with radial velocity measurements - **0** with morphological classifications ## Usage ```python from datasets import load_dataset ds = load_dataset("juliensimon/planetary-nebulae", split="train") df = ds.to_pandas() # PNe with velocity measurements if "velocity_kms" in df.columns: with_vel = df.dropna(subset=["velocity_kms"]) print(f"{len(with_vel):,} PNe with velocities") print(f"Velocity range: {with_vel['velocity_kms'].min():.0f} to {with_vel['velocity_kms'].max():.0f} km/s") # Sky distribution import matplotlib.pyplot as plt plt.scatter(df["ra_deg"], df["dec_deg"], s=1, alpha=0.5) plt.xlabel("RA (deg)") plt.ylabel("Dec (deg)") plt.title("MUSE Planetary Nebulae") ``` ## Data source Jacoby, G.H. et al. (2024), "Planetary Nebulae from the MUSE Survey", ApJS, 271, 40. Accessed via [VizieR](https://vizier.cds.unistra.fr/), CDS Strasbourg. ## Pipeline Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets) ## License [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
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