Datasets:
license: other
license_name: cc-by-nc-3.0-igo
license_link: https://creativecommons.org/licenses/by-nc/3.0/igo/
pretty_name: Planck Catalogue of Galactic Cold Clumps
language:
- en
description: >-
Cold, dense interstellar medium sources detected by the ESA Planck satellite
at submillimeter wavelengths — potential pre-stellar cores and sites of future
star formation.
task_categories:
- tabular-classification
tags:
- space
- planck
- esa
- interstellar-medium
- star-formation
- astronomy
- open-data
- tabular-data
- parquet
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: data/planck_pgcc.parquet
default: true
Planck Catalogue of Galactic Cold Clumps (PGCC)
Credit: NASA/DOE/Fermi LAT Collaboration
Part of the Astronomy Datasets collection on Hugging Face.
The Planck Catalogue of Galactic Cold Clumps (PGCC) — 13,242 cold, dense sources in the interstellar medium detected by the ESA Planck satellite at submillimeter wavelengths, sourced from VizieR.
Dataset description
Galactic cold clumps are cold, dense regions in the interstellar medium (ISM) with dust temperatures typically between 6 and 20 K, significantly colder than their surrounding environment. These compact structures represent the earliest stages of the star formation process — gravitationally bound or pre-gravitationally bound condensations that may eventually collapse to form protostars. Many are candidate pre-stellar cores, the seeds from which new stars and planetary systems will emerge.
The PGCC was compiled from the full Planck all-sky survey using a multi-frequency detection algorithm that identifies sources colder than their local background in the 857, 545, and 353 GHz (350, 550, and 850 micron) bands. Planck's all-sky coverage at submillimeter wavelengths makes it uniquely suited for this task — no other observatory has mapped the entire sky at these frequencies with comparable sensitivity. Ground-based submillimeter telescopes can observe only small patches of sky, and previous space missions (IRAS, Herschel) either lacked the spectral coverage or the all-sky field of view needed to build a complete census of Galactic cold dust sources.
Each PGCC entry includes flux densities at three Planck bands (and 3000 GHz / 100 micron where available), dust temperature and spectral emissivity index derived from modified blackbody fitting, H2 column density, angular size, and quality flags. The clumps span the full range of Galactic environments: from nearby molecular clouds (Taurus, Ophiuchus, Orion) at distances of 100-500 pc to distant complexes in the outer Galaxy beyond 5 kpc. Their dust temperatures, typically 5-8 K colder than the warm diffuse ISM (~18-20 K), identify them as sites where radiative shielding and high density allow efficient cooling.
The PGCC is a cornerstone resource for star formation studies, providing targets for high-resolution follow-up with ALMA, NOEMA, and JCMT to characterize their internal structure, kinematics, and fragmentation. It bridges the gap between the large-scale ISM structure traced by CO surveys and the individual protostellar cores revealed by interferometric observations.
Schema
| Column | Type | Description |
|---|---|---|
name |
string | PGCC catalog designation (e.g. PGCC G000.00+00.00) |
glon_deg |
float64 | Galactic longitude (degrees) |
glat_deg |
float64 | Galactic latitude (degrees) |
ra_deg |
float64 | Right ascension J2000 (degrees) |
dec_deg |
float64 | Declination J2000 (degrees) |
snr |
float64 | snr |
snr_857ghz |
float64 | Signal-to-noise ratio at 857 GHz |
snr_545ghz |
float64 | Signal-to-noise ratio at 545 GHz |
snr_353ghz |
float64 | Signal-to-noise ratio at 353 GHz |
maj |
float64 | maj |
e_maj |
float64 | e_maj |
min |
float64 | min |
e_min |
float64 | e_min |
position_angle_deg |
float64 | Position angle of the major axis (degrees, east of north) |
e_pa |
float64 | e_pa |
f3000c |
float64 | f3000c |
e_f3000c |
float64 | e_f3000c |
f857c |
float64 | f857c |
e_f857c |
float64 | e_f857c |
f545c |
float64 | f545c |
e_f545c |
float64 | e_f545c |
f353c |
float64 | f353c |
e_f353c |
float64 | e_f353c |
f3000w |
float64 | f3000w |
e_f3000w |
float64 | e_f3000w |
f857w |
float64 | f857w |
e_f857w |
float64 | e_f857w |
f545w |
float64 | f545w |
e_f545w |
float64 | e_f545w |
f353w |
float64 | f353w |
e_f353w |
float64 | e_f353w |
q_flux |
int64 | q_flux |
fblend |
int64 | fblend |
fblenddist |
float64 | fblenddist |
fblendb857 |
float64 | fblendb857 |
fblendb545 |
float64 | fblendb545 |
fblendb353 |
float64 | fblendb353 |
tempc |
float64 | tempc |
e_tempc |
float64 | e_tempc |
btempc |
float64 | btempc |
betac |
float64 | betac |
e_betac |
float64 | e_betac |
bbetac |
float64 | bbetac |
tempbeta2c |
float64 | tempbeta2c |
e_tempbeta2c |
float64 | e_tempbeta2c |
btempbeta2c |
float64 | btempbeta2c |
tempw |
float64 | tempw |
e_tempw |
float64 | e_tempw |
btempw |
float64 | btempw |
betaw |
float64 | betaw |
e_betaw |
float64 | e_betaw |
bbetaw |
float64 | bbetaw |
tempbeta2w |
float64 | tempbeta2w |
e_tempbeta2w |
float64 | e_tempbeta2w |
btempbeta2w |
float64 | btempbeta2w |
distoedr7 |
float64 | distoedr7 |
e_distoedr7 |
float64 | e_distoedr7 |
distne |
float64 | distne |
e_distne |
float64 | e_distne |
distmoc |
float64 | distmoc |
e_distmoc |
float64 | e_distmoc |
distopt |
int64 | distopt |
q_dist |
int64 | q_dist |
distance_pc |
float64 | Estimated distance (pc) |
distance_err_pc |
float64 | Uncertainty on distance (pc) |
mass |
float64 | mass |
e_mass |
float64 | e_mass |
b1mass |
float64 | b1mass |
b2mass |
float64 | b2mass |
b3mass |
float64 | b3mass |
size |
float64 | size |
e_size |
float64 | e_size |
b1size |
float64 | b1size |
b2size |
float64 | b2size |
b3size |
float64 | b3size |
dens |
float64 | dens |
e_dens |
float64 | e_dens |
b1dens |
float64 | b1dens |
b2dens |
float64 | b2dens |
b3dens |
float64 | b3dens |
lum |
float64 | lum |
column_density_cm2 |
float64 | H2 column density (cm^-2) |
column_density_err_cm2 |
float64 | Uncertainty on H2 column density (cm^-2) |
b1nh2 |
float64 | b1nh2 |
b2nh2 |
float64 | b2nh2 |
b3nh2 |
float64 | b3nh2 |
nhotsrc |
float64 | nhotsrc |
flmc |
int64 | flmc |
fsmc |
int64 | fsmc |
fecc |
int64 | fecc |
fpccs857 |
int64 | fpccs857 |
fpccs545 |
int64 | fpccs545 |
fpccs353 |
int64 | fpccs353 |
fpccs217 |
int64 | fpccs217 |
fpccs143 |
int64 | fpccs143 |
fpccs100 |
int64 | fpccs100 |
fpccs70 |
int64 | fpccs70 |
fpccs44 |
int64 | fpccs44 |
fpccs30 |
int64 | fpccs30 |
fpsz |
int64 | fpsz |
fphz |
int64 | fphz |
fhkpgcc |
int64 | fhkpgcc |
Quick stats
- 13,242 cold clumps across the full Galactic sky
- 0 with measured dust temperature (median 0.0 K, range 0.0--0.0 K)
- 10,792 with H2 column density estimates
- 5,628 with distance estimates
Usage
from datasets import load_dataset
ds = load_dataset("juliensimon/planck-cold-clumps", split="train")
df = ds.to_pandas()
# Coldest clumps (potential pre-stellar cores)
coldest = df[df["temperature_k"] < 10].sort_values("temperature_k")
print(f"{len(coldest):,} clumps colder than 10 K")
# Clumps with high column density (dense cores)
if "column_density_cm2" in df.columns:
dense = df[df["column_density_cm2"] > 1e22]
print(f"{len(dense):,} dense clumps (N_H2 > 10^22 cm^-2)")
# Temperature distribution
import matplotlib.pyplot as plt
df["temperature_k"].dropna().hist(bins=50)
plt.xlabel("Dust Temperature (K)")
plt.ylabel("Count")
plt.title("PGCC Dust Temperature Distribution")
Data source
Planck Catalogue of Galactic Cold Clumps, published by the Planck Collaboration (Planck Collaboration XXVIII, 2016, A&A, 594, A28), accessed via VizieR, CDS Strasbourg.
Update schedule
Static dataset. The PGCC is based on the final Planck data release and is not expected to change.
Related datasets
- planck-sz2-clusters -- Planck SZ2 galaxy cluster catalog
- nebula-catalog -- Catalog of Galactic nebulae
- wise-hii-regions -- WISE Catalog of Galactic HII Regions
- gaia-dr3-young-stellar-objects -- Gaia DR3 young stellar objects
Pipeline
Source code: juliensimon/space-datasets
Support
If you find this dataset useful, please give it a ❤️ on the dataset page and share feedback in the Community tab! Also consider giving a ⭐️ to the space-datasets repo.
Citation
@dataset{planck_cold_clumps,
author = {Simon, Julien},
title = {Planck Catalogue of Galactic Cold Clumps (PGCC)},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/juliensimon/planck-cold-clumps},
note = {Based on Planck Collaboration XXVIII (2016, A\&A, 594, A28) via VizieR CDS Strasbourg}
}