n_rows
int64 | n_columns
int64 | columns
list | source_file
string |
|---|---|---|---|
39,850
| 165
|
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"n_missing": 85,
"description": null
},
{
"name": "HBETA_BROAD_SIGMA",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HBETA_BROAD_CONT",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HBETA_BROAD_CONT_IVAR",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HBETA_BROAD_EW",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HBETA_BROAD_EW_IVAR",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HBETA_BROAD_FLUX_LIMIT",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HBETA_BROAD_EW_LIMIT",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HBETA_BROAD_CHI2",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HBETA_BROAD_NPIX",
"dtype": ">i4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_AMP",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_AMP_IVAR",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_FLUX",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_FLUX_IVAR",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_SIGMA",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_EW",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_EW_IVAR",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_FLUX_LIMIT",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_EW_LIMIT",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_CHI2",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_BROAD_AMP",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_BROAD_AMP_IVAR",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_BROAD_FLUX",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_BROAD_FLUX_IVAR",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_BROAD_SIGMA",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_BROAD_EW",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_BROAD_EW_IVAR",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_BROAD_FLUX_LIMIT",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_BROAD_EW_LIMIT",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
},
{
"name": "HALPHA_BROAD_CHI2",
"dtype": ">f4",
"unit": null,
"masked": true,
"n_missing": 85,
"description": null
}
] |
DESI_DR1_Euclid_Q1_dataset_catalog_EM.fits
|
DESI DR1 × Euclid Q1 — Catalog Metadata (FITS)
This repository hosts the catalog metadata (FITS table) for the main dataset: https://huggingface.co/datasets/msiudek/astroPT_euclid_Q1_desi_dr1_dataset
Files
DESI_DR1_Euclid_Q1_dataset_catalog_EM.fits(36.0 MB) — FITS table with 39,850 rows and 165 columnsmetadata_schema.json— lightweight column schema summary (name, dtype, unit, missing counts)
Column preview
| name | dtype | unit | missing |
|---|---|---|---|
| object_id | >i8 | NA | 0 |
| name | S100 | ||
| right_ascension | >f8 | deg | 0 |
| declination | >f8 | deg | 0 |
| segmentation_area | >i4 | pix | 0 |
| segmentation_map_id | >i8 | NA | 0 |
| flux_detection_total | >f8 | uJy | 0 |
| flux_vis_psf | >f8 | uJy | 0 |
| kron_radius | >f8 | pix | 0 |
| spurious_prob | >f8 | NA | 0 |
| det_quality_flag | >i2 | NA | 0 |
| spurious_flag | >i2 | NA | 0 |
| release | S3 | ||
| Separation | >f8 | arcsec | 0 |
| TARGETID | >i8 | 0 | |
| TARGET_RA | >f8 | deg | 0 |
| TARGET_DEC | >f8 | deg | 0 |
| Z | >f8 | 0 | |
| HEALPIX | >i4 | 0 | |
| PROGRAM | S7 | ||
| SURVEY | S7 | ||
| SPECTYPE | S7 | ||
| RA | >f8 | deg | 1 |
| DEC | >f8 | deg | 1 |
| RELEASE | >i2 | 1 | |
| CHI2 | >f8 | 1 | |
| LOGM | >f8 | log(solMass) | 1 |
| LOGM_ERR | >f8 | log(solMass) | 1 |
| LOGSFR | >f8 | log(solMass/yr) | 1 |
| LOGSFR_ERR | >f8 | log(solMass/yr) | 1 |
| … | … | … | … |
Full schema available in metadata_schema.json.
How to use
Below are two ways to access the catalog directly from this dataset.
Option A: Download with huggingface_hub and read via Astropy (suppress non-critical unit warnings)
from huggingface_hub import hf_hub_download
from astropy.table import Table
import warnings
from astropy.units.core import UnitsWarning
# Optional: silence unit parsing warnings from non-standard FITS TUNIT strings
warnings.filterwarnings("ignore", category=UnitsWarning)
fits_path = hf_hub_download(repo_id="msiudek/astroPT_euclid_Q1_desi_dr1_metadata", repo_type="dataset", filename="DESI_DR1_Euclid_Q1_dataset_catalog_EM.fits")
tab = Table.read(fits_path, format="fits")
print(tab)
Option B: Stream to memory with astropy.io.fits
from huggingface_hub import hf_hub_download
from astropy.io import fits
import warnings
from astropy.units.core import UnitsWarning
warnings.filterwarnings("ignore", category=UnitsWarning)
fits_path = hf_hub_download(repo_id="msiudek/astroPT_euclid_Q1_desi_dr1_metadata", repo_type="dataset", filename="DESI_DR1_Euclid_Q1_dataset_catalog_EM.fits")
with fits.open(fits_path, memmap=False) as hdul:
data = hdul[1].data # first table HDU
print(data.names[:10])
Notes on FITS units
Some columns carry non-standard TUNIT strings (e.g., NA, nanomaggy, nanomaggy^-2, log(solMass), log(solMass/yr)).
Astropy may emit UnitsWarning while reading them. These warnings do not affect data values; units simply default to None when unparsable. If desired, you can silence them via:
import warnings
from astropy.units.core import UnitsWarning
warnings.filterwarnings("ignore", category=UnitsWarning)
If you need strict units, consider mapping them manually to your preferred system (e.g., define a custom nanomaggy unit and treat nanomaggy^-2 as an inverse-variance in that unit).
License and citation
If you use this catalog, please also cite the main dataset:
@dataset{euclid_desi_dr1_q1,
author = {Siudek, M. and collaborators},
title = {DESI DR1 × Euclid Q1 Cross-matched Dataset},
year = {2025},
url = {https://huggingface.co/datasets/msiudek/astroPT_euclid_Q1_desi_dr1_dataset}
}
Additionally, please cite the source surveys and the value-added catalog used to build the metadata:
@article{desi_dr1_2024,
title = {The Dark Energy Spectroscopic Instrument (DESI) Data Release 1},
author = {DESI Collaboration},
year = {2024},
journal = {ApJ},
note = {DESI DR1 overview paper}
}
@article{euclid_q1_2024,
title = {Euclid Quick Data Release (Q1): MER catalog and data products},
author = {Euclid Consortium},
year = {2024},
journal = {A"+"A},
note = {Euclid Q1 data release documentation}
}
@dataset{siudek_2024_value_added,
author = {Siudek, M. and collaborators},
title = {Value-added catalog for DESI × Euclid cross-match},
year = {2024},
note = {Catalog of derived physical properties used in this metadata}
}
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