Astronomy Datasets
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Exoplanets, gravitational waves, pulsars, GRBs, FRBs, quasars, variable stars, and million-source radio/X-ray sky surveys in Parquet. • 104 items • Updated
Datasets:
glon_deg float64 0 360 | glat_deg float64 -19.51 9.95 | radius_arcmin int64 5 5.69k | reference large_stringclasses 14
values | name large_stringlengths 1 21 | kda_resolution large_stringclasses 4
values |
|---|---|---|---|---|---|
0.004 | 0.128 | 206 | 87 | ||
0.009 | 0.036 | 24 | |||
0.026 | -0.231 | 46 | |||
0.03 | -0.089 | 31 | |||
0.041 | 0.021 | 20 | |||
0.044 | 0.014 | 15 | |||
0.053 | -0.205 | 18 | |||
0.08 | -0.625 | 92 | |||
0.08 | -0.21 | 66 | |||
0.083 | -0.096 | 29 | |||
0.099 | -0.168 | 15 | 17432-2855 | ||
0.115 | -0.091 | 22 | |||
0.12 | -0.556 | 360 | 87 | ||
0.121 | -0.632 | 93 | |||
0.122 | -0.304 | 37 | |||
0.126 | -0.086 | 29 | |||
0.129 | -0.673 | 51 | |||
0.132 | 0.04 | 299 | |||
0.139 | -0.114 | 363 | |||
0.159 | -0.065 | 34 | |||
0.17 | 0.153 | 42 | |||
0.177 | -0.062 | 95 | |||
0.197 | -0.006 | 24 | |||
0.2 | -0.512 | 17 | |||
0.209 | -0.002 | 26 | |||
0.228 | -0.502 | 72 | |||
0.279 | -0.058 | 191 | |||
0.279 | -0.482 | 60 | 86 | 17449-2855 | |
0.298 | -1.05 | 230 | |||
0.314 | -0.194 | 26 | 87 | 17439-2845 | |
0.315 | -0.204 | 42 | 87 | 17439-2845 | |
0.316 | -0.149 | 37 | |||
0.319 | -0.119 | 27 | |||
0.329 | -0.803 | 234 | 86 | ||
0.331 | -0.064 | 42 | |||
0.335 | -0.015 | 42 | |||
0.347 | -0.027 | 27 | |||
0.353 | -0.019 | 29 | |||
0.361 | -0.14 | 20 | |||
0.382 | 0.017 | 67 | 82 | 17432-2835 | |
0.395 | -0.131 | 28 | |||
0.398 | -0.091 | 22 | |||
0.402 | 0.409 | 20 | |||
0.408 | -0.881 | 139 | |||
0.41 | -0.778 | 137 | |||
0.411 | -0.059 | 17 | |||
0.415 | -0.021 | 38 | |||
0.418 | -0.081 | 22 | |||
0.421 | -0.554 | 72 | |||
0.437 | -0.084 | 41 | |||
0.453 | -0.903 | 51 | |||
0.456 | -0.475 | 677 | 86 | ||
0.456 | -0.808 | 149 | |||
0.461 | -0.048 | 21 | |||
0.472 | -0.055 | 43 | |||
0.476 | -0.674 | 54 | 86 | ||
0.477 | -0.13 | 111 | |||
0.48 | 0.072 | 42 | |||
0.484 | -0.899 | 27 | |||
0.487 | 0.201 | 12 | |||
0.49 | -0.074 | 42 | |||
0.492 | 0.192 | 42 | |||
0.497 | 0.159 | 60 | |||
0.497 | -0.827 | 16 | |||
0.498 | -0.678 | 54 | 86 | ||
0.501 | 0.191 | 12 | |||
0.504 | -0.789 | 35 | |||
0.519 | 0.177 | 8 | 17430-2822 | ||
0.52 | -0.051 | 208 | 86 | ||
0.521 | 0.196 | 16 | 17430-2822 | ||
0.523 | -0.011 | 27 | |||
0.524 | 0.169 | 9 | 17430-2822 | ||
0.525 | 0.191 | 9 | 17430-2822 | ||
0.528 | 0.181 | 25 | 89 | 17430-2822 | |
0.53 | -0.156 | 29 | |||
0.53 | 0.132 | 50 | |||
0.53 | -0.106 | 27 | |||
0.533 | -0.082 | 66 | |||
0.535 | 0.169 | 31 | 17430-2822 | ||
0.541 | -0.046 | 20 | |||
0.544 | -0.226 | 128 | |||
0.547 | -0.06 | 20 | |||
0.548 | -0.851 | 28 | |||
0.549 | -0.835 | 41 | |||
0.551 | 0.06 | 90 | |||
0.557 | -0.079 | 20 | |||
0.563 | -0.852 | 35 | |||
0.564 | -0.037 | 23 | |||
0.564 | -0.823 | 39 | |||
0.567 | -0.097 | 20 | |||
0.574 | 0.129 | 19 | |||
0.579 | -0.045 | 24 | |||
0.584 | -0.871 | 79 | 86 | ||
0.587 | -0.086 | 28 | |||
0.587 | -0.127 | 15 | |||
0.592 | 0.051 | 42 | |||
0.593 | -0.046 | 92 | |||
0.596 | -0.171 | 16 | |||
0.596 | -0.617 | 215 | 86 | ||
0.6 | -0.048 | 19 |
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WISE Catalog of Galactic HII Regions
Credit: NASA/DOE/Fermi LAT Collaboration
Part of a dataset collection on Hugging Face.
Dataset description
Catalog of Galactic HII regions from the WISE (Wide-field Infrared Survey Explorer) mid-infrared survey (Anderson et al. 2014). HII regions are clouds of ionized hydrogen surrounding hot young stars, tracing active star formation across the Milky Way disk.
The WISE catalog is the most complete census of Galactic HII regions to date, using mid-infrared data at 12 and 22 microns to identify HII region candidates by their characteristic thermal dust emission. Radio continuum surveys confirm the presence of thermal free-free emission from ionized gas, and radio recombination line (RRL) observations provide radial velocities that enable kinematic distance estimates via the Galactic rotation curve.
Regions are classified by observational evidence: known HII regions (confirmed by RRL detection), candidates (radio continuum but no RRL), radio-quiet candidates (infrared morphology only), and group members. The catalog spans the full range of HII region evolution from ultra-compact regions deeply embedded in molecular clouds to evolved diffuse nebulae, providing a comprehensive view of massive star formation across the entire Galactic disk even through the heavy dust extinction that obscures optical observations.
This dataset is suitable for tabular classification tasks.
Schema
| Column | Type | Description | Sample | Null % |
|---|---|---|---|---|
glon_deg |
float64 | Galactic longitude in decimal degrees (0-360); traces the Galactic plane distribution of star-forming regions | 0.004 | 0.0% |
glat_deg |
float64 | Galactic latitude in decimal degrees (-90 to +90); HII regions concentrate within a few degrees of the Galactic mid-plane | 0.128 | 0.0% |
radius_arcmin |
int64 | Angular radius of the HII region in arcminutes, measured from WISE mid-infrared morphology; physical sizes range from ultra-compact (<0.1 pc) to giant (>50 pc) depending on distance and evolutionary stage | 206 | 0.0% |
reference |
str | Literature reference code for the radio recombination line velocity measurement or source identification | 87 | 0.0% |
name |
str | Source designation from the WISE HII region catalog (e.g., 'G012.209-00.102'); encodes Galactic longitude and latitude in the name | 0.0% | |
kda_resolution |
str | Kinematic distance ambiguity (KDA) resolution method or flag; for sources inside the solar circle, two kinematic distances are possible (near/far) and additional data (HI absorption, parallax) resolves the ambiguity | 0.0% |
Quick stats
- 8,399 Galactic HII regions
- 0 known (RRL-confirmed), 0 candidates, 0 radio-quiet, 0 group members
- 0 with radial velocity measurements
- 8,399 with angular size measurements
Usage
from datasets import load_dataset
ds = load_dataset("juliensimon/wise-hii-regions", split="train")
df = ds.to_pandas()
from datasets import load_dataset
ds = load_dataset("juliensimon/wise-hii-regions", split="train")
df = ds.to_pandas()
# Galactic distribution
import matplotlib.pyplot as plt
plt.scatter(df["glon_deg"], df["glat_deg"], s=1, alpha=0.3)
plt.xlabel("Galactic Longitude (deg)")
plt.ylabel("Galactic Latitude (deg)")
plt.title("WISE HII Regions - Galactic Distribution")
plt.show()
# Velocity distribution
with_v = df.dropna(subset=["vlsr_kms"])
print(f"{len(with_v):,} HII regions with velocities")
with_v["vlsr_kms"].hist(bins=50)
plt.xlabel("VLSR (km/s)")
plt.title("HII Region Velocity Distribution")
plt.show()
Data source
https://vizier.cds.unistra.fr/viz-bin/VizieR?-source=J/ApJS/212/1
Related datasets
If you find this dataset useful, please consider giving it a like on Hugging Face. It helps others discover it.
About the author
Created by Julien Simon — AI Operating Partner at Fortino Capital. Part of the Space Datasets collection.
Citation
@dataset{wise_hii_regions,
title = {WISE Catalog of Galactic HII Regions},
author = {juliensimon},
year = {2026},
url = {https://huggingface.co/datasets/juliensimon/wise-hii-regions},
publisher = {Hugging Face}
}
License
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