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metadata
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)

The gamma-ray sky as seen by NASA's Fermi telescope

Credit: NASA/DOE/Fermi LAT Collaboration

Part of the Astronomy Datasets collection on Hugging Face.

Updated

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

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}
}

License

CC-BY-NC-3.0-IGO