Dataset Viewer
Auto-converted to Parquet Duplicate
targetid
int64
1,071,387B
39,633,480B
healpix
int64
10.2k
16.1k
survey
stringclasses
2 values
program
stringclasses
2 values
redshift
float64
0
4.3
RGB_image
imagewidth (px)
224
224
VIS_image
listlengths
224
224
NISP_Y_image
listlengths
224
224
NISP_J_image
listlengths
224
224
NISP_H_image
listlengths
224
224
spectrum
dict
39,633,470,514,792,250
11,607
main
bright
0.387347
[[0.21542268991470337,0.37331119179725647,0.19488534331321716,0.0,0.6991457343101501,0.0,0.162305235(...TRUNCATED)
[[0.0,0.0,0.0,3.9628827571868896,5.902607440948486,5.8958210945129395,5.6255316734313965,5.859165668(...TRUNCATED)
[[0.0,0.0,0.0,5.331801891326904,5.244962692260742,6.330356597900391,7.134392261505127,7.492341995239(...TRUNCATED)
[[6.096974849700928,5.07532262802124,0.0,0.0,4.841860771179199,5.224864482879639,5.384777069091797,5(...TRUNCATED)
{"error":[8.348251342773438,8.297917366027832,9.3341646194458,9.787676811218262,8.939935684204102,10(...TRUNCATED)
39,633,430,668,903,830
10,229
sv3
dark
1.048833
[[0.0,0.6794361472129822,0.04138469696044922,0.6222360134124756,1.28533136844635,0.3285481333732605,(...TRUNCATED)
[[3.9323642253875732,2.4738380908966064,5.437978267669678,6.43304967880249,5.364154815673828,0.0,2.2(...TRUNCATED)
[[0.0,0.0,0.0,0.0,0.0,5.611415863037109,0.0,0.0,5.152038097381592,6.345832824707031,6.53970861434936(...TRUNCATED)
[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.02547025680542,6.316146373748779,6.36807918548584,6.088095664978027,(...TRUNCATED)
{"error":[5.349152565002441,4.4716477394104,4.310781478881836,4.305337905883789,3.867387056350708,4.(...TRUNCATED)
39,633,446,347,214,070
15,359
sv3
dark
0.982227
[[0.0,1.0345324277877808,1.1508058309555054,0.5681874752044678,0.0,0.0,0.0,0.43622827529907227,1.213(...TRUNCATED)
[[6.179703235626221,6.454897880554199,6.404405117034912,6.351830005645752,6.391922473907471,6.397624(...TRUNCATED)
[[0.0,0.0,2.780902862548828,5.988075256347656,6.422173023223877,6.853085517883301,6.508739948272705,(...TRUNCATED)
[[6.427318572998047,6.202104091644287,3.902202844619751,0.0,0.0,0.0,5.368236064910889,6.267783164978(...TRUNCATED)
{"error":[3.0472888946533203,3.0583689212799072,2.9122164249420166,3.6003997325897217,3.368380784988(...TRUNCATED)
39,633,458,749,768,770
16,042
sv3
dark
1.608301
[[0.0,0.847432017326355,1.118099570274353,0.5740726590156555,0.20125152170658112,0.0,0.0,0.0,0.0,0.0(...TRUNCATED)
[[0.0,5.8035173416137695,5.75724458694458,6.116861343383789,6.486423015594482,6.049440860748291,6.51(...TRUNCATED)
[[4.987880706787109,3.599733829498291,4.351179599761963,4.694362640380859,0.0,0.0,0.0,0.0,0.0,5.9394(...TRUNCATED)
[[0.0,0.0,0.0,5.606196880340576,6.145676136016846,6.204588890075684,6.157992362976074,5.597790718078(...TRUNCATED)
{"error":[2.797774314880371,2.549238681793213,2.784757614135742,2.8747425079345703,2.945184469223022(...TRUNCATED)
39,633,456,329,654,400
16,040
sv3
dark
0.996532
[[0.0,0.725616455078125,1.5871641635894775,0.0,0.0,1.255545973777771,0.0,0.0,0.0,0.0,0.0,0.044464174(...TRUNCATED)
[[0.0,0.0,3.473284959793091,5.156217575073242,5.508750915527344,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.08(...TRUNCATED)
[[5.268707275390625,6.223384380340576,5.101695537567139,0.0,5.301533222198486,3.9563839435577393,6.2(...TRUNCATED)
[[5.238701820373535,5.888489723205566,6.149934768676758,5.975290298461914,0.0,0.0,0.0,0.0,0.0,0.0,0.(...TRUNCATED)
{"error":[2.522955894470215,2.384230852127075,2.6086814403533936,2.256410837173462,2.541792154312134(...TRUNCATED)
39,633,427,984,551,624
15,354
sv3
dark
0.298211
[[1.079653024673462,0.0,0.5546565651893616,0.0,0.04992963373661041,0.0,0.0,0.0,0.780937671661377,1.1(...TRUNCATED)
[[2.767267942428589,5.664127349853516,6.418156147003174,6.239905834197998,6.440929889678955,6.604326(...TRUNCATED)
[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.92260217666626,6.791647434234619,7.170260429(...TRUNCATED)
[[0.0,0.0,0.0,0.0,0.0,0.0,3.582890033721924,5.071944713592529,5.157254695892334,5.059952735900879,5.(...TRUNCATED)
{"error":[3.6144063472747803,3.513763189315796,3.4607393741607666,3.3840527534484863,3.7563216686248(...TRUNCATED)
39,633,458,720,410,900
11,607
sv3
bright
0.228788
[[0.03647437319159508,1.097609519958496,0.6292575001716614,0.0,0.6197494268417358,0.8403525352478027(...TRUNCATED)
[[0.0,0.0,0.0,0.0,4.78983736038208,5.260702610015869,4.242306232452393,5.886221408843994,6.119160175(...TRUNCATED)
[[4.887641429901123,2.209036111831665,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.7298293113708496,4.57582(...TRUNCATED)
[[4.583400249481201,0.0,0.0,0.0,0.0,0.0,0.0,3.9773712158203125,5.272801399230957,5.764538288116455,6(...TRUNCATED)
{"error":[9.849194526672363,10.919109344482422,12.620430946350098,10.896202087402344,10.513665199279(...TRUNCATED)
39,633,443,776,106,750
10,237
sv3
dark
0.936553
[[0.9823854565620422,0.9180962443351746,1.6418585777282715,1.0572117567062378,0.0,0.0,0.0,0.51881682(...TRUNCATED)
[[0.0,0.0,4.35890531539917,0.0,0.0,0.0,0.0,0.0,4.644485950469971,6.455023765563965,5.054478168487549(...TRUNCATED)
[[6.045230865478516,4.874032497406006,0.0,0.0,5.553706169128418,5.666653633117676,5.527588367462158,(...TRUNCATED)
[[0.0,4.113156795501709,6.014891624450684,6.397154808044434,6.201834678649902,6.265442371368408,5.92(...TRUNCATED)
{"error":[2.9575135707855225,2.8471810817718506,2.8941333293914795,2.935919761657715,2.6766834259033(...TRUNCATED)
39,633,443,784,491,330
10,237
sv3
bright
0.148458
[[0.0,0.0,0.4266018867492676,1.4923733472824097,0.6816211342811584,0.9345099925994873,0.0,0.0,0.7544(...TRUNCATED)
[[5.275777816772461,5.213696002960205,4.99252986907959,6.041767597198486,6.1730194091796875,6.499561(...TRUNCATED)
[[0.0,5.4606475830078125,6.332765579223633,6.342596530914307,6.202054500579834,5.1151123046875,0.0,0(...TRUNCATED)
[[2.6051764488220215,4.3645405769348145,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.589339256286621,5.(...TRUNCATED)
{"error":[8.4507417678833,8.295379638671875,7.817776203155518,8.214396476745605,10.753988265991211,9(...TRUNCATED)
39,633,446,317,853,360
10,239
sv3
dark
0.582817
[[0.0,0.0,0.0,0.0,0.7054091691970825,0.6859223246574402,0.0,0.042377520352602005,1.3250296115875244,(...TRUNCATED)
[[0.0,0.0,0.0,6.186354160308838,5.885135173797607,6.63129997253418,5.704977989196777,0.0,0.0,0.0,0.0(...TRUNCATED)
[[0.0,5.226229190826416,5.001481533050537,5.78955078125,6.646973133087158,7.011456489562988,6.918075(...TRUNCATED)
[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.084738731384277,6.028209209442139,0.(...TRUNCATED)
{"error":[3.6605207920074463,2.8167080879211426,3.391866683959961,3.132097005844116,3.08929228782653(...TRUNCATED)
End of preview. Expand in Data Studio

DESI DR1 × Euclid Q1 Dataset

Dataset Description

This dataset contains the cross-matched catalog between DESI Data Release 1 (DR1) and Quick Data Release 1 (Q1) data.

Dataset Summary

  • Total Sources: 39,850 galaxies
  • Cross-match Radius: 0.5 arcsec
  • Data Products:
    • Euclid VIS imaging
    • Euclid NISP imaging (Y, J, H bands)
    • DESI spectra

Source Data

  1. DESI Sample Selection: Applied quality cuts to DESI DR1:

    • ZCAT_PRIMARY == True
    • ZWARN == 0 or ZWARN == 4
    • COADD_FIBERSTATUS == 0
    • SPECTYPE != 'STAR'
    • Z > 0
  2. Euclid Sample Selection: Applied quality cuts to Euclid MER Q1:

    • VIS_DET == 1
    • gaia_id IS NULL
    • spurious_prob < 0.2
    • flux_detection_total > 0.0

Data Splits

  • Train: 80% (31,880 galaxies)
  • Test: 20% (7,970 galaxies)

Split created using stratified random sampling with random_state=42.

Usage

from datasets import load_dataset

# Load the full dataset
dataset = load_dataset("msiudek/astroPT_euclid_Q1_desi_dr1_dataset")

# Access train/test splits
train_data = dataset['train']
test_data = dataset['test']

# Example: Access a single sample
sample = train_data[0]
vis_image = sample['vis_image']
spectrum = sample['spectrum']
redshift = sample['redshift']

Metadata catalog

A companion metadata catalog (FITS table) with per-object properties and cross-match details is published as a separate dataset on Hugging Face:

How to access the metadata FITS directly from the hub using Astropy:

from huggingface_hub import hf_hub_download
from astropy.table import Table
import warnings
from astropy.units.core import UnitsWarning

# Optional: silence non-standard FITS unit warnings (e.g., 'nanomaggy', 'NA')
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)

Citation

If you use this dataset, please cite:

@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}
}
Downloads last month
57