Datasets:
Update Planck PGCC: 13,242 cold clumps
Browse files- README.md +255 -0
- banner.jpg +3 -0
- data/planck_pgcc.parquet +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
license: cc-by-4.0
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| 3 |
+
pretty_name: "Planck Catalogue of Galactic Cold Clumps"
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| 4 |
+
language:
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| 5 |
+
- en
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| 6 |
+
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."
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| 7 |
+
task_categories:
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| 8 |
+
- tabular-classification
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| 9 |
+
tags:
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| 10 |
+
- space
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| 11 |
+
- planck
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| 12 |
+
- esa
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| 13 |
+
- interstellar-medium
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| 14 |
+
- star-formation
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| 15 |
+
- astronomy
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| 16 |
+
- open-data
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| 17 |
+
- tabular-data
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| 18 |
+
- parquet
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| 19 |
+
size_categories:
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| 20 |
+
- 10K<n<100K
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| 21 |
+
configs:
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| 22 |
+
- config_name: default
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| 23 |
+
data_files:
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| 24 |
+
- split: train
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| 25 |
+
path: data/planck_pgcc.parquet
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| 26 |
+
default: true
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| 27 |
+
---
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| 28 |
+
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| 29 |
+
# Planck Catalogue of Galactic Cold Clumps (PGCC)
|
| 30 |
+
|
| 31 |
+
<div align="center">
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| 32 |
+
<img src="banner.jpg" alt="The gamma-ray sky as seen by NASA's Fermi telescope" width="400">
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| 33 |
+
<p><em>Credit: NASA/DOE/Fermi LAT Collaboration</em></p>
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| 34 |
+
</div>
|
| 35 |
+
|
| 36 |
+
*Part of the [Astronomy Datasets](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) collection on Hugging Face.*
|
| 37 |
+
|
| 38 |
+

|
| 39 |
+
|
| 40 |
+
The Planck Catalogue of Galactic Cold Clumps (PGCC) — **13,242** cold, dense sources
|
| 41 |
+
in the interstellar medium detected by the [ESA Planck satellite](https://www.cosmos.esa.int/web/planck)
|
| 42 |
+
at submillimeter wavelengths, sourced from [VizieR](https://vizier.cds.unistra.fr/).
|
| 43 |
+
|
| 44 |
+
## Dataset description
|
| 45 |
+
|
| 46 |
+
Galactic cold clumps are cold, dense regions in the interstellar medium (ISM) with dust
|
| 47 |
+
temperatures typically between 6 and 20 K, significantly colder than their surrounding
|
| 48 |
+
environment. These compact structures represent the earliest stages of the star formation
|
| 49 |
+
process — gravitationally bound or pre-gravitationally bound condensations that may
|
| 50 |
+
eventually collapse to form protostars. Many are candidate pre-stellar cores, the seeds
|
| 51 |
+
from which new stars and planetary systems will emerge.
|
| 52 |
+
|
| 53 |
+
The PGCC was compiled from the full Planck all-sky survey using a multi-frequency detection
|
| 54 |
+
algorithm that identifies sources colder than their local background in the 857, 545, and
|
| 55 |
+
353 GHz (350, 550, and 850 micron) bands. Planck's all-sky coverage at submillimeter
|
| 56 |
+
wavelengths makes it uniquely suited for this task — no other observatory has mapped the
|
| 57 |
+
entire sky at these frequencies with comparable sensitivity. Ground-based submillimeter
|
| 58 |
+
telescopes can observe only small patches of sky, and previous space missions (IRAS, Herschel)
|
| 59 |
+
either lacked the spectral coverage or the all-sky field of view needed to build a complete
|
| 60 |
+
census of Galactic cold dust sources.
|
| 61 |
+
|
| 62 |
+
Each PGCC entry includes flux densities at three Planck bands (and 3000 GHz / 100 micron
|
| 63 |
+
where available), dust temperature and spectral emissivity index derived from modified
|
| 64 |
+
blackbody fitting, H2 column density, angular size, and quality flags. The clumps span the
|
| 65 |
+
full range of Galactic environments: from nearby molecular clouds (Taurus, Ophiuchus,
|
| 66 |
+
Orion) at distances of 100-500 pc to distant complexes in the outer Galaxy beyond 5 kpc.
|
| 67 |
+
Their dust temperatures, typically 5-8 K colder than the warm diffuse ISM (~18-20 K),
|
| 68 |
+
identify them as sites where radiative shielding and high density allow efficient cooling.
|
| 69 |
+
|
| 70 |
+
The PGCC is a cornerstone resource for star formation studies, providing targets for
|
| 71 |
+
high-resolution follow-up with ALMA, NOEMA, and JCMT to characterize their internal
|
| 72 |
+
structure, kinematics, and fragmentation. It bridges the gap between the large-scale
|
| 73 |
+
ISM structure traced by CO surveys and the individual protostellar cores revealed by
|
| 74 |
+
interferometric observations.
|
| 75 |
+
|
| 76 |
+
## Schema
|
| 77 |
+
|
| 78 |
+
| Column | Type | Description |
|
| 79 |
+
|--------|------|-------------|
|
| 80 |
+
| `name` | string | PGCC catalog designation (e.g. PGCC G000.00+00.00) |
|
| 81 |
+
| `glon_deg` | float64 | Galactic longitude (degrees) |
|
| 82 |
+
| `glat_deg` | float64 | Galactic latitude (degrees) |
|
| 83 |
+
| `ra_deg` | float64 | Right ascension J2000 (degrees) |
|
| 84 |
+
| `dec_deg` | float64 | Declination J2000 (degrees) |
|
| 85 |
+
| `snr` | float64 | snr |
|
| 86 |
+
| `snr_857ghz` | float64 | Signal-to-noise ratio at 857 GHz |
|
| 87 |
+
| `snr_545ghz` | float64 | Signal-to-noise ratio at 545 GHz |
|
| 88 |
+
| `snr_353ghz` | float64 | Signal-to-noise ratio at 353 GHz |
|
| 89 |
+
| `maj` | float64 | maj |
|
| 90 |
+
| `e_maj` | float64 | e_maj |
|
| 91 |
+
| `min` | float64 | min |
|
| 92 |
+
| `e_min` | float64 | e_min |
|
| 93 |
+
| `position_angle_deg` | float64 | Position angle of the major axis (degrees, east of north) |
|
| 94 |
+
| `e_pa` | float64 | e_pa |
|
| 95 |
+
| `f3000c` | float64 | f3000c |
|
| 96 |
+
| `e_f3000c` | float64 | e_f3000c |
|
| 97 |
+
| `f857c` | float64 | f857c |
|
| 98 |
+
| `e_f857c` | float64 | e_f857c |
|
| 99 |
+
| `f545c` | float64 | f545c |
|
| 100 |
+
| `e_f545c` | float64 | e_f545c |
|
| 101 |
+
| `f353c` | float64 | f353c |
|
| 102 |
+
| `e_f353c` | float64 | e_f353c |
|
| 103 |
+
| `f3000w` | float64 | f3000w |
|
| 104 |
+
| `e_f3000w` | float64 | e_f3000w |
|
| 105 |
+
| `f857w` | float64 | f857w |
|
| 106 |
+
| `e_f857w` | float64 | e_f857w |
|
| 107 |
+
| `f545w` | float64 | f545w |
|
| 108 |
+
| `e_f545w` | float64 | e_f545w |
|
| 109 |
+
| `f353w` | float64 | f353w |
|
| 110 |
+
| `e_f353w` | float64 | e_f353w |
|
| 111 |
+
| `q_flux` | int64 | q_flux |
|
| 112 |
+
| `fblend` | int64 | fblend |
|
| 113 |
+
| `fblenddist` | float64 | fblenddist |
|
| 114 |
+
| `fblendb857` | float64 | fblendb857 |
|
| 115 |
+
| `fblendb545` | float64 | fblendb545 |
|
| 116 |
+
| `fblendb353` | float64 | fblendb353 |
|
| 117 |
+
| `tempc` | float64 | tempc |
|
| 118 |
+
| `e_tempc` | float64 | e_tempc |
|
| 119 |
+
| `btempc` | float64 | btempc |
|
| 120 |
+
| `betac` | float64 | betac |
|
| 121 |
+
| `e_betac` | float64 | e_betac |
|
| 122 |
+
| `bbetac` | float64 | bbetac |
|
| 123 |
+
| `tempbeta2c` | float64 | tempbeta2c |
|
| 124 |
+
| `e_tempbeta2c` | float64 | e_tempbeta2c |
|
| 125 |
+
| `btempbeta2c` | float64 | btempbeta2c |
|
| 126 |
+
| `tempw` | float64 | tempw |
|
| 127 |
+
| `e_tempw` | float64 | e_tempw |
|
| 128 |
+
| `btempw` | float64 | btempw |
|
| 129 |
+
| `betaw` | float64 | betaw |
|
| 130 |
+
| `e_betaw` | float64 | e_betaw |
|
| 131 |
+
| `bbetaw` | float64 | bbetaw |
|
| 132 |
+
| `tempbeta2w` | float64 | tempbeta2w |
|
| 133 |
+
| `e_tempbeta2w` | float64 | e_tempbeta2w |
|
| 134 |
+
| `btempbeta2w` | float64 | btempbeta2w |
|
| 135 |
+
| `distoedr7` | float64 | distoedr7 |
|
| 136 |
+
| `e_distoedr7` | float64 | e_distoedr7 |
|
| 137 |
+
| `distne` | float64 | distne |
|
| 138 |
+
| `e_distne` | float64 | e_distne |
|
| 139 |
+
| `distmoc` | float64 | distmoc |
|
| 140 |
+
| `e_distmoc` | float64 | e_distmoc |
|
| 141 |
+
| `distopt` | int64 | distopt |
|
| 142 |
+
| `q_dist` | int64 | q_dist |
|
| 143 |
+
| `distance_pc` | float64 | Estimated distance (pc) |
|
| 144 |
+
| `distance_err_pc` | float64 | Uncertainty on distance (pc) |
|
| 145 |
+
| `mass` | float64 | mass |
|
| 146 |
+
| `e_mass` | float64 | e_mass |
|
| 147 |
+
| `b1mass` | float64 | b1mass |
|
| 148 |
+
| `b2mass` | float64 | b2mass |
|
| 149 |
+
| `b3mass` | float64 | b3mass |
|
| 150 |
+
| `size` | float64 | size |
|
| 151 |
+
| `e_size` | float64 | e_size |
|
| 152 |
+
| `b1size` | float64 | b1size |
|
| 153 |
+
| `b2size` | float64 | b2size |
|
| 154 |
+
| `b3size` | float64 | b3size |
|
| 155 |
+
| `dens` | float64 | dens |
|
| 156 |
+
| `e_dens` | float64 | e_dens |
|
| 157 |
+
| `b1dens` | float64 | b1dens |
|
| 158 |
+
| `b2dens` | float64 | b2dens |
|
| 159 |
+
| `b3dens` | float64 | b3dens |
|
| 160 |
+
| `lum` | float64 | lum |
|
| 161 |
+
| `column_density_cm2` | float64 | H2 column density (cm^-2) |
|
| 162 |
+
| `column_density_err_cm2` | float64 | Uncertainty on H2 column density (cm^-2) |
|
| 163 |
+
| `b1nh2` | float64 | b1nh2 |
|
| 164 |
+
| `b2nh2` | float64 | b2nh2 |
|
| 165 |
+
| `b3nh2` | float64 | b3nh2 |
|
| 166 |
+
| `nhotsrc` | float64 | nhotsrc |
|
| 167 |
+
| `flmc` | int64 | flmc |
|
| 168 |
+
| `fsmc` | int64 | fsmc |
|
| 169 |
+
| `fecc` | int64 | fecc |
|
| 170 |
+
| `fpccs857` | int64 | fpccs857 |
|
| 171 |
+
| `fpccs545` | int64 | fpccs545 |
|
| 172 |
+
| `fpccs353` | int64 | fpccs353 |
|
| 173 |
+
| `fpccs217` | int64 | fpccs217 |
|
| 174 |
+
| `fpccs143` | int64 | fpccs143 |
|
| 175 |
+
| `fpccs100` | int64 | fpccs100 |
|
| 176 |
+
| `fpccs70` | int64 | fpccs70 |
|
| 177 |
+
| `fpccs44` | int64 | fpccs44 |
|
| 178 |
+
| `fpccs30` | int64 | fpccs30 |
|
| 179 |
+
| `fpsz` | int64 | fpsz |
|
| 180 |
+
| `fphz` | int64 | fphz |
|
| 181 |
+
| `fhkpgcc` | int64 | fhkpgcc |
|
| 182 |
+
|
| 183 |
+
## Quick stats
|
| 184 |
+
|
| 185 |
+
- **13,242** cold clumps across the full Galactic sky
|
| 186 |
+
- **0** with measured dust temperature (median 0.0 K, range 0.0--0.0 K)
|
| 187 |
+
- **10,792** with H2 column density estimates
|
| 188 |
+
- **5,628** with distance estimates
|
| 189 |
+
|
| 190 |
+
## Usage
|
| 191 |
+
|
| 192 |
+
```python
|
| 193 |
+
from datasets import load_dataset
|
| 194 |
+
|
| 195 |
+
ds = load_dataset("juliensimon/planck-cold-clumps", split="train")
|
| 196 |
+
df = ds.to_pandas()
|
| 197 |
+
|
| 198 |
+
# Coldest clumps (potential pre-stellar cores)
|
| 199 |
+
coldest = df[df["temperature_k"] < 10].sort_values("temperature_k")
|
| 200 |
+
print(f"{len(coldest):,} clumps colder than 10 K")
|
| 201 |
+
|
| 202 |
+
# Clumps with high column density (dense cores)
|
| 203 |
+
if "column_density_cm2" in df.columns:
|
| 204 |
+
dense = df[df["column_density_cm2"] > 1e22]
|
| 205 |
+
print(f"{len(dense):,} dense clumps (N_H2 > 10^22 cm^-2)")
|
| 206 |
+
|
| 207 |
+
# Temperature distribution
|
| 208 |
+
import matplotlib.pyplot as plt
|
| 209 |
+
df["temperature_k"].dropna().hist(bins=50)
|
| 210 |
+
plt.xlabel("Dust Temperature (K)")
|
| 211 |
+
plt.ylabel("Count")
|
| 212 |
+
plt.title("PGCC Dust Temperature Distribution")
|
| 213 |
+
```
|
| 214 |
+
|
| 215 |
+
## Data source
|
| 216 |
+
|
| 217 |
+
[Planck Catalogue of Galactic Cold Clumps](https://vizier.cds.unistra.fr/viz-bin/VizieR-3?-source=VIII/106/pgcc),
|
| 218 |
+
published by the Planck Collaboration (Planck Collaboration XXVIII, 2016, A&A, 594, A28),
|
| 219 |
+
accessed via [VizieR](https://vizier.cds.unistra.fr/), CDS Strasbourg.
|
| 220 |
+
|
| 221 |
+
## Update schedule
|
| 222 |
+
|
| 223 |
+
Static dataset. The PGCC is based on the final Planck data release and is not expected to change.
|
| 224 |
+
|
| 225 |
+
## Related datasets
|
| 226 |
+
|
| 227 |
+
- [planck-sz2-clusters](https://huggingface.co/datasets/juliensimon/planck-sz2-clusters) -- Planck SZ2 galaxy cluster catalog
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| 228 |
+
- [nebula-catalog](https://huggingface.co/datasets/juliensimon/nebula-catalog) -- Catalog of Galactic nebulae
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| 229 |
+
- [wise-hii-regions](https://huggingface.co/datasets/juliensimon/wise-hii-regions) -- WISE Catalog of Galactic HII Regions
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| 230 |
+
- [gaia-dr3-young-stellar-objects](https://huggingface.co/datasets/juliensimon/gaia-dr3-young-stellar-objects) -- Gaia DR3 young stellar objects
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## Pipeline
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| 233 |
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Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
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## Support
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| 237 |
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If you find this dataset useful, please give it a ❤️ on the [dataset page](https://huggingface.co/datasets/juliensimon/planck-cold-clumps) and share feedback in the Community tab! Also consider giving a ⭐️ to the [space-datasets](https://github.com/juliensimon/space-datasets) repo.
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| 239 |
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## Citation
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```bibtex
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@dataset{planck_cold_clumps,
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| 244 |
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author = {Simon, Julien},
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title = {Planck Catalogue of Galactic Cold Clumps (PGCC)},
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| 246 |
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year = {2026},
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| 247 |
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/juliensimon/planck-cold-clumps},
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note = {Based on Planck Collaboration XXVIII (2016, A\&A, 594, A28) via VizieR CDS Strasbourg}
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| 250 |
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}
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```
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## License
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[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
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