open-star-clusters / README.md
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Update open star clusters: 7,167 clusters
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metadata
license: cc-by-4.0
pretty_name: Open Star Clusters (Hunt & Reffert 2024)
language:
  - en
description: >-
  The most comprehensive Gaia-era catalog of open star clusters from Hunt &
  Reffert (2024). Sourced via VizieR CDS Strasbourg.
task_categories:
  - tabular-classification
tags:
  - space
  - star-cluster
  - open-cluster
  - gaia
  - astronomy
  - open-data
size_categories:
  - 1K<n<10K

Open Star Clusters (Hunt & Reffert 2024)

The most comprehensive Gaia-era catalog of open star clusters, containing 7,167 clusters with positions, distances, ages, and membership counts derived from Gaia DR3.

Dataset description

Open clusters are gravitationally bound groups of stars that formed together from the same molecular cloud. They are key tracers of Galactic structure, stellar evolution, and the chemical enrichment history of the Milky Way disk. This catalog from Hunt & Reffert (2024) represents the most complete census of open clusters in the Gaia era, combining automated detection with careful validation.

Each entry includes sky coordinates, distance, parallax, age, extinction, number of members, and radial velocity where available.

Schema

Column Type Description
ra_deg float64 Right ascension J2000 (degrees)
dec_deg float64 Declination J2000 (degrees)
distance_pc float64 Distance (parsecs)
parallax_mas float64 Parallax (milliarcseconds)
log_age float64 Logarithmic age (log10 years)
extinction_av float64 Visual extinction A_V (mag)
n_members float64 Number of identified members
radial_velocity_kms float64 Radial velocity (km/s)

Quick stats

  • 7,167 open clusters
  • 0 with age estimates
  • 5,749 with radial velocities

Usage

from datasets import load_dataset

ds = load_dataset("juliensimon/open-star-clusters", split="train")
df = ds.to_pandas()

# Nearby clusters (< 500 pc)
nearby = df[df["distance_pc"] < 500].sort_values("distance_pc")
print(f"{len(nearby):,} clusters within 500 pc")

# Young clusters (< 10 Myr)
young = df[df["log_age"] < 7.0]
print(f"{len(young):,} clusters younger than 10 Myr")

Data source

Hunt, E.L. & Reffert, S. (2024), "Improving the open cluster census. III. Using Gaia DR3", A&A, 686, A42. Accessed via VizieR, CDS Strasbourg.

Related datasets

Pipeline

Source code: juliensimon/space-datasets

Citation

@dataset{open_star_clusters,
  author = {Simon, Julien},
  title = {Open Star Clusters (Hunt & Reffert 2024)},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/juliensimon/open-star-clusters},
  note = {Based on Hunt & Reffert (2024), A&A, 686, A42 via VizieR CDS Strasbourg}
}

License

CC-BY-4.0