mmu_jwst_gds_grizli_v7.0_all_96 HATS Catalog Collection

This is the collection of HATS catalogs representing mmu_jwst_gds_grizli_v7.0_all_96.

This dataset is part of the Multimodal Universe, a large-scale collection of multimodal astronomical data. For full details, see the paper: The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TBs of Astronomical Scientific Data.

Access the catalog

We recommend the use of the LSDB Python framework to access HATS catalogs. LSDB can be installed via pip install lsdb or conda install conda-forge::lsdb, see more details in the docs. The following code provides a minimal example of opening this catalog:

import lsdb

# Full sky coverage.
catalog = lsdb.open_catalog("https://huggingface.co/datasets/UniverseTBD/mmu_jwst_gds_grizli_v7.0_all_96")
# One-degree cone.
catalog = lsdb.open_catalog(
    "https://huggingface.co/datasets/UniverseTBD/mmu_jwst_gds_grizli_v7.0_all_96",
    search_filter=lsdb.ConeSearch(ra=53.0, dec=-28.0, radius_arcsec=3600.0),
)

Each catalog in this collection is represented as a separate Apache Parquet dataset and can be accessed with a variety of tools, including pandas, pyarrow, dask, Spark, DuckDB.

File structure

This catalog is represented by the following files and directories:

• collection.properties — textual metadata file describing the HATS collection of catalogs
• mmu_jwst_gds_grizli_v7.0_all_96 — main HATS catalog directory
  • dataset/ — Apache Parquet dataset directory for the main catalog
    • ... parquet metadata and data files in sub directories ...
  • hats.properties — textual metadata file describing the main HATS catalog
  • partition_info.csv — CSV file with a list of catalog HEALPix tiles (catalog partitions)
  • skymap.fits — HEALPix skymap FITS file with row-counts per HEALPix tile of fixed order 10
• mmu_jwst_gds_grizli_v7.0_all_96_10arcs/ — default margin catalog to ensure data completeness in cross-matching, the margin threshold is 10.0 arcseconds
  • ... margin catalog files and directories ...

Catalog metadata

Metadata of the main HATS catalog, excluding margins and indexes:

Number of rows	Number of columns	Number of partitions	Size on disk	HATS Builder
49,080	762	8	5.2 GiB	hats-import v0.7.3, hats v0.7.3

Catalog columns

The main HATS catalog contains the following columns:

Name	_healpix_29	image.band	image.flux	image.psf_fwhm	image.scale	Av	L1400	L2800	LHa	LHb	LIR	LOII	LOIII	Lj	Lu	Lv	MLv	a_image	apcorr_0	apcorr_1	area_auto	area_iso	b_image	bkg_aper_0	bkg_aper_1	bkg_auto	cflux	clearp-f430m_bkg_aper_0	clearp-f430m_bkg_aper_1	clearp-f430m_corr_0	clearp-f430m_corr_1	clearp-f430m_ecorr_0	clearp-f430m_ecorr_1	clearp-f430m_etot_0	clearp-f430m_etot_1	clearp-f430m_flag_aper_0	clearp-f430m_flag_aper_1	clearp-f430m_flux_aper_0	clearp-f430m_flux_aper_1	clearp-f430m_fluxerr_aper_0	clearp-f430m_fluxerr_aper_1	clearp-f430m_mask_aper_0	clearp-f430m_mask_aper_1	clearp-f430m_tot_0	clearp-f430m_tot_1	clearp-f430m_tot_corr	clearp-f480m_bkg_aper_0	clearp-f480m_bkg_aper_1	clearp-f480m_corr_0	clearp-f480m_corr_1	clearp-f480m_ecorr_0	clearp-f480m_ecorr_1	clearp-f480m_etot_0	clearp-f480m_etot_1	clearp-f480m_flag_aper_0	clearp-f480m_flag_aper_1	clearp-f480m_flux_aper_0	clearp-f480m_flux_aper_1	clearp-f480m_fluxerr_aper_0	clearp-f480m_fluxerr_aper_1	clearp-f480m_mask_aper_0	clearp-f480m_mask_aper_1	clearp-f480m_tot_0	clearp-f480m_tot_1	clearp-f480m_tot_corr	cpeak	cxx_image	cxy_image	cyy_image	dL	dummy_err	dummy_flux	energy_abs	errxy	f090w_bkg_aper_0	f090w_bkg_aper_1	f090w_corr_0	f090w_corr_1	f090w_ecorr_0	f090w_ecorr_1	f090w_etot_0	f090w_etot_1	f090w_flag_aper_0	f090w_flag_aper_1	f090w_flux_aper_0	f090w_flux_aper_1	f090w_fluxerr_aper_0	f090w_fluxerr_aper_1	f090w_mask_aper_0	f090w_mask_aper_1	f090w_tot_0	f090w_tot_1	f090w_tot_corr	f105w_bkg_aper_0	f105w_bkg_aper_1	f105w_corr_0	f105w_corr_1	f105w_ecorr_0	f105w_ecorr_1	f105w_etot_0	f105w_etot_1	f105w_flag_aper_0	f105w_flag_aper_1	f105w_flux_aper_0	f105w_flux_aper_1	f105w_fluxerr_aper_0	f105w_fluxerr_aper_1	f105w_mask_aper_0	f105w_mask_aper_1	f105w_tot_0	f105w_tot_1	f105w_tot_corr	f110w_bkg_aper_0	f110w_bkg_aper_1	f110w_corr_0	f110w_corr_1	f110w_ecorr_0	f110w_ecorr_1	f110w_etot_0	f110w_etot_1	f110w_flag_aper_0	f110w_flag_aper_1	f110w_flux_aper_0	f110w_flux_aper_1	f110w_fluxerr_aper_0	f110w_fluxerr_aper_1	f110w_mask_aper_0	f110w_mask_aper_1	f110w_tot_0	f110w_tot_1	f110w_tot_corr	f115w_bkg_aper_0	f115w_bkg_aper_1	f115w_corr_0	f115w_corr_1	f115w_ecorr_0	f115w_ecorr_1	f115w_etot_0	f115w_etot_1	f115w_flag_aper_0	f115w_flag_aper_1	f115w_flux_aper_0	f115w_flux_aper_1	f115w_fluxerr_aper_0	f115w_fluxerr_aper_1	f115w_mask_aper_0	f115w_mask_aper_1	f115w_tot_0	f115w_tot_1	f115w_tot_corr	f115wn_bkg_aper_0	f115wn_bkg_aper_1	f115wn_corr_0	f115wn_corr_1	f115wn_ecorr_0	f115wn_ecorr_1	f115wn_etot_0	f115wn_etot_1	f115wn_flag_aper_0	f115wn_flag_aper_1	f115wn_flux_aper_0	f115wn_flux_aper_1	f115wn_fluxerr_aper_0	f115wn_fluxerr_aper_1	f115wn_mask_aper_0	f115wn_mask_aper_1	f115wn_tot_0	f115wn_tot_1	f115wn_tot_corr	f125w_bkg_aper_0	f125w_bkg_aper_1	f125w_corr_0	f125w_corr_1	f125w_ecorr_0	f125w_ecorr_1	f125w_etot_0	f125w_etot_1	f125w_flag_aper_0	f125w_flag_aper_1	f125w_flux_aper_0	f125w_flux_aper_1	f125w_fluxerr_aper_0	f125w_fluxerr_aper_1	f125w_mask_aper_0	f125w_mask_aper_1	f125w_tot_0	f125w_tot_1	f125w_tot_corr	f140w_bkg_aper_0	f140w_bkg_aper_1	f140w_corr_0	f140w_corr_1	f140w_ecorr_0	f140w_ecorr_1	f140w_etot_0	f140w_etot_1	f140w_flag_aper_0	f140w_flag_aper_1	f140w_flux_aper_0	f140w_flux_aper_1	f140w_fluxerr_aper_0	f140w_fluxerr_aper_1	f140w_mask_aper_0	f140w_mask_aper_1	f140w_tot_0	f140w_tot_1	f140w_tot_corr	f150w_bkg_aper_0	f150w_bkg_aper_1	f150w_corr_0	f150w_corr_1	f150w_ecorr_0	f150w_ecorr_1	f150w_etot_0	f150w_etot_1	f150w_flag_aper_0	f150w_flag_aper_1	f150w_flux_aper_0	f150w_flux_aper_1	f150w_fluxerr_aper_0	f150w_fluxerr_aper_1	f150w_mask_aper_0	f150w_mask_aper_1	f150w_tot_0	f150w_tot_1	f150w_tot_corr	f150wn_bkg_aper_0	f150wn_bkg_aper_1	f150wn_corr_0	f150wn_corr_1	f150wn_ecorr_0	f150wn_ecorr_1	f150wn_etot_0	f150wn_etot_1	f150wn_flag_aper_0	f150wn_flag_aper_1	f150wn_flux_aper_0	f150wn_flux_aper_1	f150wn_fluxerr_aper_0	f150wn_fluxerr_aper_1	f150wn_mask_aper_0	f150wn_mask_aper_1	f150wn_tot_0	f150wn_tot_1	f150wn_tot_corr	f160w_bkg_aper_0	f160w_bkg_aper_1	f160w_corr_0	f160w_corr_1	f160w_ecorr_0	f160w_ecorr_1	f160w_etot_0	f160w_etot_1	f160w_flag_aper_0	f160w_flag_aper_1	f160w_flux_aper_0	f160w_flux_aper_1	f160w_fluxerr_aper_0	f160w_fluxerr_aper_1	f160w_mask_aper_0	f160w_mask_aper_1	f160w_tot_0	f160w_tot_1	f160w_tot_corr	f182m_bkg_aper_0	f182m_bkg_aper_1	f182m_corr_0	f182m_corr_1	f182m_ecorr_0	f182m_ecorr_1	f182m_etot_0	f182m_etot_1	f182m_flag_aper_0	f182m_flag_aper_1	f182m_flux_aper_0	f182m_flux_aper_1	f182m_fluxerr_aper_0	f182m_fluxerr_aper_1	f182m_mask_aper_0	f182m_mask_aper_1	f182m_tot_0	f182m_tot_1	f182m_tot_corr	f200w_bkg_aper_0	f200w_bkg_aper_1	f200w_corr_0	f200w_corr_1	f200w_ecorr_0	f200w_ecorr_1	f200w_etot_0	f200w_etot_1	f200w_flag_aper_0	f200w_flag_aper_1	f200w_flux_aper_0	f200w_flux_aper_1	f200w_fluxerr_aper_0	f200w_fluxerr_aper_1	f200w_mask_aper_0	f200w_mask_aper_1	f200w_tot_0	f200w_tot_1	f200w_tot_corr	f200wn_bkg_aper_0	f200wn_bkg_aper_1	f200wn_corr_0	f200wn_corr_1	f200wn_ecorr_0	f200wn_ecorr_1	f200wn_etot_0	f200wn_etot_1	f200wn_flag_aper_0	f200wn_flag_aper_1	f200wn_flux_aper_0	f200wn_flux_aper_1	f200wn_fluxerr_aper_0	f200wn_fluxerr_aper_1	f200wn_mask_aper_0	f200wn_mask_aper_1	f200wn_tot_0	f200wn_tot_1	f200wn_tot_corr	f210m_bkg_aper_0	f210m_bkg_aper_1	f210m_corr_0	f210m_corr_1	f210m_ecorr_0	f210m_ecorr_1	f210m_etot_0	f210m_etot_1	f210m_flag_aper_0	f210m_flag_aper_1	f210m_flux_aper_0	f210m_flux_aper_1	f210m_fluxerr_aper_0	f210m_fluxerr_aper_1	f210m_mask_aper_0	f210m_mask_aper_1	f210m_tot_0	f210m_tot_1	f210m_tot_corr	f277w_bkg_aper_0	f277w_bkg_aper_1	f277w_corr_0	f277w_corr_1	f277w_ecorr_0	f277w_ecorr_1	f277w_etot_0	f277w_etot_1	f277w_flag_aper_0	f277w_flag_aper_1	f277w_flux_aper_0	f277w_flux_aper_1	f277w_fluxerr_aper_0	f277w_fluxerr_aper_1	f277w_mask_aper_0	f277w_mask_aper_1	f277w_tot_0	f277w_tot_1	f277w_tot_corr	f335m_bkg_aper_0	f335m_bkg_aper_1	f335m_corr_0	f335m_corr_1	f335m_ecorr_0	f335m_ecorr_1	f335m_etot_0	f335m_etot_1	f335m_flag_aper_0	f335m_flag_aper_1	f335m_flux_aper_0	f335m_flux_aper_1	f335m_fluxerr_aper_0	f335m_fluxerr_aper_1	f335m_mask_aper_0	f335m_mask_aper_1	f335m_tot_0	f335m_tot_1	f335m_tot_corr	f356w_bkg_aper_0	f356w_bkg_aper_1	f356w_corr_0	f356w_corr_1	f356w_ecorr_0	f356w_ecorr_1	f356w_etot_0	f356w_etot_1	f356w_flag_aper_0	f356w_flag_aper_1	f356w_flux_aper_0	f356w_flux_aper_1	f356w_fluxerr_aper_0	f356w_fluxerr_aper_1	f356w_mask_aper_0	f356w_mask_aper_1	f356w_tot_0	f356w_tot_1	f356w_tot_corr	f410m_bkg_aper_0	f410m_bkg_aper_1	f410m_corr_0	f410m_corr_1	f410m_ecorr_0	f410m_ecorr_1	f410m_etot_0	f410m_etot_1	f410m_flag_aper_0	f410m_flag_aper_1	f410m_flux_aper_0	f410m_flux_aper_1	f410m_fluxerr_aper_0	f410m_fluxerr_aper_1	f410m_mask_aper_0	f410m_mask_aper_1	f410m_tot_0	f410m_tot_1	f410m_tot_corr	f430m_bkg_aper_0	f430m_bkg_aper_1	f430m_corr_0	f430m_corr_1	f430m_ecorr_0	f430m_ecorr_1	f430m_etot_0	f430m_etot_1	f430m_flag_aper_0	f430m_flag_aper_1	f430m_flux_aper_0	f430m_flux_aper_1	f430m_fluxerr_aper_0	f430m_fluxerr_aper_1	f430m_mask_aper_0	f430m_mask_aper_1	f430m_tot_0	f430m_tot_1	f430m_tot_corr	f435w_bkg_aper_0	f435w_bkg_aper_1	f435w_corr_0	f435w_corr_1	f435w_ecorr_0	f435w_ecorr_1	f435w_etot_0	f435w_etot_1	f435w_flag_aper_0	f435w_flag_aper_1	f435w_flux_aper_0	f435w_flux_aper_1	f435w_fluxerr_aper_0	f435w_fluxerr_aper_1	f435w_mask_aper_0	f435w_mask_aper_1	f435w_tot_0	f435w_tot_1	f435w_tot_corr	f444w_bkg_aper_0	f444w_bkg_aper_1	f444w_corr_0	f444w_corr_1	f444w_ecorr_0	f444w_ecorr_1	f444w_etot_0	f444w_etot_1	f444w_flag_aper_0	f444w_flag_aper_1	f444w_flux_aper_0	f444w_flux_aper_1	f444w_fluxerr_aper_0	f444w_fluxerr_aper_1	f444w_mask_aper_0	f444w_mask_aper_1	f444w_tot_0	f444w_tot_1	f444w_tot_corr	f460m_bkg_aper_0	f460m_bkg_aper_1	f460m_corr_0	f460m_corr_1	f460m_ecorr_0	f460m_ecorr_1	f460m_etot_0	f460m_etot_1	f460m_flag_aper_0	f460m_flag_aper_1	f460m_flux_aper_0	f460m_flux_aper_1	f460m_fluxerr_aper_0	f460m_fluxerr_aper_1	f460m_mask_aper_0	f460m_mask_aper_1	f460m_tot_0	f460m_tot_1	f460m_tot_corr	f475w_bkg_aper_0	f475w_bkg_aper_1	f475w_corr_0	f475w_corr_1	f475w_ecorr_0	f475w_ecorr_1	f475w_etot_0	f475w_etot_1	f475w_flag_aper_0	f475w_flag_aper_1	f475w_flux_aper_0	f475w_flux_aper_1	f475w_fluxerr_aper_0	f475w_fluxerr_aper_1	f475w_mask_aper_0	f475w_mask_aper_1	f475w_tot_0	f475w_tot_1	f475w_tot_corr	f480m_bkg_aper_0	f480m_bkg_aper_1	f480m_corr_0	f480m_corr_1	f480m_ecorr_0	f480m_ecorr_1	f480m_etot_0	f480m_etot_1	f480m_flag_aper_0	f480m_flag_aper_1	f480m_flux_aper_0	f480m_flux_aper_1	f480m_fluxerr_aper_0	f480m_fluxerr_aper_1	f480m_mask_aper_0	f480m_mask_aper_1	f480m_tot_0	f480m_tot_1	f480m_tot_corr	f606w_bkg_aper_0	f606w_bkg_aper_1	f606w_corr_0	f606w_corr_1	f606w_ecorr_0	f606w_ecorr_1	f606w_etot_0	f606w_etot_1	f606w_flag_aper_0	f606w_flag_aper_1	f606w_flux_aper_0	f606w_flux_aper_1	f606w_fluxerr_aper_0	f606w_fluxerr_aper_1	f606w_mask_aper_0	f606w_mask_aper_1	f606w_tot_0	f606w_tot_1	f606w_tot_corr	f606wu_bkg_aper_0	f606wu_bkg_aper_1	f606wu_corr_0	f606wu_corr_1	f606wu_ecorr_0	f606wu_ecorr_1	f606wu_etot_0	f606wu_etot_1	f606wu_flag_aper_0	f606wu_flag_aper_1	f606wu_flux_aper_0	f606wu_flux_aper_1	f606wu_fluxerr_aper_0	f606wu_fluxerr_aper_1	f606wu_mask_aper_0	f606wu_mask_aper_1	f606wu_tot_0	f606wu_tot_1	f606wu_tot_corr	f775w_bkg_aper_0	f775w_bkg_aper_1	f775w_corr_0	f775w_corr_1	f775w_ecorr_0	f775w_ecorr_1	f775w_etot_0	f775w_etot_1	f775w_flag_aper_0	f775w_flag_aper_1	f775w_flux_aper_0	f775w_flux_aper_1	f775w_fluxerr_aper_0	f775w_fluxerr_aper_1	f775w_mask_aper_0	f775w_mask_aper_1	f775w_tot_0	f775w_tot_1	f775w_tot_corr	f814w_bkg_aper_0	f814w_bkg_aper_1	f814w_corr_0	f814w_corr_1	f814w_ecorr_0	f814w_ecorr_1	f814w_etot_0	f814w_etot_1	f814w_flag_aper_0	f814w_flag_aper_1	f814w_flux_aper_0	f814w_flux_aper_1	f814w_fluxerr_aper_0	f814w_fluxerr_aper_1	f814w_mask_aper_0	f814w_mask_aper_1	f814w_tot_0	f814w_tot_1	f814w_tot_corr	f814wu_bkg_aper_0	f814wu_bkg_aper_1	f814wu_corr_0	f814wu_corr_1	f814wu_ecorr_0	f814wu_ecorr_1	f814wu_etot_0	f814wu_etot_1	f814wu_flag_aper_0	f814wu_flag_aper_1	f814wu_flux_aper_0	f814wu_flux_aper_1	f814wu_fluxerr_aper_0	f814wu_fluxerr_aper_1	f814wu_mask_aper_0	f814wu_mask_aper_1	f814wu_tot_0	f814wu_tot_1	f814wu_tot_corr	f850lp_bkg_aper_0	f850lp_bkg_aper_1	f850lp_corr_0	f850lp_corr_1	f850lp_ecorr_0	f850lp_ecorr_1	f850lp_etot_0	f850lp_etot_1	f850lp_flag_aper_0	f850lp_flag_aper_1	f850lp_flux_aper_0	f850lp_flux_aper_1	f850lp_fluxerr_aper_0	f850lp_fluxerr_aper_1	f850lp_mask_aper_0	f850lp_mask_aper_1	f850lp_tot_0	f850lp_tot_1	f850lp_tot_corr	f850lpu_bkg_aper_0	f850lpu_bkg_aper_1	f850lpu_corr_0	f850lpu_corr_1	f850lpu_ecorr_0	f850lpu_ecorr_1	f850lpu_etot_0	f850lpu_etot_1	f850lpu_flag_aper_0	f850lpu_flag_aper_1	f850lpu_flux_aper_0	f850lpu_flux_aper_1	f850lpu_fluxerr_aper_0	f850lpu_fluxerr_aper_1	f850lpu_mask_aper_0	f850lpu_mask_aper_1	f850lpu_tot_0	f850lpu_tot_1	f850lpu_tot_corr	flag	flag_aper_0	flag_aper_1	flag_auto	flux	flux_aper_0	flux_aper_1	flux_auto	flux_iso	flux_radius	flux_radius_20	flux_radius_90	flux_radius_flag	fluxerr_aper_0	fluxerr_aper_1	fluxerr_auto	fluxerr_iso	healpix	index	kron_radius	kron_rcirc	lc_max	lc_min	lwAgeV	mag_auto	mag_iso	magerr_auto	mask_aper_0	mask_aper_1	mass	min_risk	npix	number	nusefilt	object_id	peak	raw_chi2	rest120	rest120_err	rest121	rest121_err	rest156	rest156_err	rest157	rest157_err	rest158	rest158_err	rest159	rest159_err	rest160	rest160_err	rest414	rest414_err	rest415	rest415_err	rest416	rest416_err	restB	restB_err	restJ	restJ_err	restU	restU_err	restV	restV_err	sfr	theta_image	thresh	tnpix	tot_corr	x	x2_image	x_image	x_world	xcpeak	xmax	xmin	xpeak	xy_image	y	y2_image	y_image	y_world	ycpeak	ymax	ymin	ypeak	z025	z160	z500	z840	z975	z_min_risk	z_ml	z_ml_chi2	z_ml_risk	z_phot	z_phot_chi2	z_phot_risk	z_raw_chi2	z_spec	ra	dec
Data Type	int64	list[string]	list[list<element: list<element: float>>]	list[float]	list[float]	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int64	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	double	int16	int16	double	double	double	double	double	double	double	double	double	int64	int16	int16	int64	double	double	double	double	double	double	double	double	int16	double	double	double	double	int64	int64	double	double	double	double	double	double	double	double	double	double	double	float	int64	int32	int64	string	double	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	float	double	double	double	int64	double	double	double	double	double	int64	int64	int64	int64	double	double	double	double	double	int64	int64	int64	int64	float	float	float	float	float	float	float	float	float	float	float	float	float	double	double	double
Nested?	—	image	image	image	image	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
Value count	49,080	343,560	N/A	343,560	343,560	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080	49,080
Example row	2528744712839489492	[jwst_nircam_f090w, … (7 total)]	[[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … (96 total)], … (96 total)], …	[0.015, 0.015, 0.015, 0.015, 0.015, … (7 total)]	[0.04, 0.04, 0.04, 0.04, 0.04, 0.04, … (7 total)]	0.5887	2.606e+08	1.651e+08	1.232e+07	4.068e+06	1.852e+09	3.391e+06	2.343e+07	1.293e+08	1.926e+08	2.324e+08	0.2858	3.45	1.751	1.377	343.1	129	2.193	-0.0001064	-0.0002061	-0.0005615	0.01354	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1	0.0002908	0.165	0.118	0.1271	1.973e+04	2.291e+06	0.01791	1.852e+09	-0.002572	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	254.5	490.9	-99	-99	1	-0.001066	-0.002058	0.02156	0.01921	0.005423	0.005872	0.006309	0.00683	0	0	0.01231	0.01396	0.003097	0.004265	0	0	0.02508	0.02235	1.163	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1.171	0.00119	0.002297	0.0124	0.01102	0.0009116	0.0009669	0.0009116	0.0009669	0	0	0.007083	0.008006	0.0005207	0.0007024	0	0	0.0124	0.01102	1	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1	9.468e-05	0.0001809	0.005609	0.002003	0.007195	0.007867	0.008493	0.009285	0	0	0.003203	0.001455	0.00411	0.005714	0	0	0.00662	0.002364	1.18	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1.186	1.081e-05	2.198e-05	0.0231	0.01981	0.001143	0.001203	0.001143	0.001203	0	0	0.01319	0.01439	0.0006526	0.0008742	0	0	0.0231	0.01981	1	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1	-0.001331	-0.00257	0.02142	0.02068	0.009288	0.01017	0.01106	0.01211	0	0	0.01223	0.01502	0.005305	0.007388	0	0	0.0255	0.02462	1.19	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	254.5	490.9	-99	-99	1	-2.061e-05	-3.99e-05	0.02097	0.01637	0.001554	0.001676	0.001554	0.001676	0	0	0.01198	0.01189	0.0008877	0.001218	0	0	0.02097	0.01637	1	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	254.5	490.9	-99	-99	1	-0.0005081	-0.0009809	0.01736	0.01727	0.0008023	0.0008472	0.0008023	0.0008472	0	0	0.009913	0.01254	0.0004582	0.0006154	0	0	0.01736	0.01727	1	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1	0.0002686	0.0005183	0.01885	0.0189	0.0008901	0.0009339	0.0008901	0.0009339	0	0	0.01077	0.01373	0.0005084	0.0006784	0	0	0.01885	0.0189	1	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1	3.345e-06	6.06e-06	0.006905	0.005495	0.001259	0.00137	0.0014	0.001524	0	0	0.003944	0.003992	0.0007188	0.0009952	0	0	0.007683	0.006114	1.113	5.197e-05	9.983e-05	0.01736	0.01738	0.0008996	0.0009521	0.0008996	0.0009521	0	0	0.009913	0.01262	0.0005138	0.0006916	0	0	0.01736	0.01738	1	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1.109	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1	0.0001463	0.0002819	0.009882	0.009941	0.001451	0.001561	0.001602	0.001724	0	0	0.005644	0.007221	0.0008285	0.001134	0	0	0.01091	0.01098	1.104	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1.098	0.0005833	0.001126	0.009182	0.007962	0.002371	0.002573	0.002625	0.002849	0	0	0.005244	0.005784	0.001354	0.001869	0	0	0.01017	0.008818	1.107	0.0007189	0.001387	0.009223	0.008456	0.0008779	0.0009404	0.0009817	0.001052	0	0	0.005268	0.006142	0.0005014	0.0006831	0	0	0.01031	0.009457	1.118	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1.104	-6.298e-05	-0.0001218	0.004789	0.004521	0.003016	0.003294	0.003555	0.003883	0	0	0.002735	0.003284	0.001722	0.002392	0	0	0.005646	0.005329	1.179	NaN	NaN	-99	-99	-99	-99	-99	-99	32	32	NaN	NaN	NaN	NaN	63.62	122.7	-99	-99	1.129	0	0	0	0	0.01416	0.01023	0.01301	0.01791	0.01392	3.932	1.98	8.764	32	0.0003041	0.0003811	0.0004737	0.0002897	2245	12541	3.8	10.45	4.404e+04	4319	0.1817	28.08	28.54	0.02872	0	0	6.642e+07	0.2441	135	13099	14	13099	0.0004899	8.224	0.007819	0.0007968	0.008042	0.0006369	0.01041	0.0008313	0.01938	0.003	0.01955	0.002588	0.01586	0.0008885	0.01652	0.0008251	0.00837	0.0006417	0.01491	0.001054	0.01591	0.0008815	0.01627	0.0009964	0.01759	0.001062	0.01109	0.0007365	0.0179	0.002409	0.3298	-0.9407	0.003847	111	1.186	355.5	7.27	356.5	53.23	357	361	348	357	-3.377	4746	9.438	4747	-27.82	4745	4754	4739	4745	1.165	1.858	2.14	2.453	2.594	2.158	2.433	8.993	0.3254	2.433	8.993	0.3254	2.421	-1	53.23	-27.82
Minimum value	2528743697535560666	jwst_nircam_f090w	N/A	0.015	0.04	-9e+29	-9e+29	-9e+29	-9e+29	-9e+29	-9e+29	-9e+29	-9e+29	-9e+29	-9e+29	-9e+29	-9e+29	0.7836	-582.3	-3392	240.5	0	0.4252	-0.04493	-0.08166	-0.9783	0.0002238	NULL	NULL	-99	-99	-99	-99	-99	-99	32	32	NULL	NULL	NULL	NULL	44.99	79.83	-99	-99	1	NULL	NULL	-99	-99	-99	-99	-99	-99	32	32	NULL	NULL	NULL	NULL	44.99	79.83	-99	-99	1	2.348e-06	7.828e-05	-3.272	2.452e-05	-0	2.291e+06	-0.02578	-9e+29	-0.1099	-0.02381	-0.04588	-99	-99	-190	-276	-190	-276	0	0	-0.04843	-0.1172	-101.5	-103.4	-0	-0	-99	-99	1	-0.02003	-0.03802	-99	-99	-571	-509.6	-624	-529.5	0	0	-0.03461	-0.05953	-108.8	-109.3	-0	-0	-99	-99	1	-0.003213	-0.006179	-99	-99	-120.9	-221.2	-144.4	-253.1	0	0	-0.01481	-0.04097	-100.6	-102.3	-0	-0	-99	-99	1	-0.026	-0.0495	-99	-99	-226.7	-275.9	-226.7	-275.9	0	0	-0.04362	-0.09768	-102.1	-101.3	-0	-0	-99	-99	1	-0.003783	-0.007279	-99	-99	-202.7	-160.8	-202.7	-160.8	0	0	-0.01957	-0.06062	-100.3	-100.9	-0	-0	-99	-99	1	-0.02319	-0.04401	-1.931	-7.789	-2.004	-20.09	-2.411	-24.17	0	0	-0.02147	-0.03444	0.0008246	0.001147	-0	-0	-2.324	-9.371	1	-0.02146	-0.0406	-99	-99	-395	-324.8	-443.1	-364.9	0	0	-0.1105	-0.1886	-104.1	-103.4	-0	-0	-99	-99	1	-0.02953	-0.05617	-99	-99	-300.5	-275.9	-300.5	-275.9	0	0	-0.0329	-0.05374	-103.5	-103.6	-0	-0	-99	-99	1	-0.007182	-0.0138	-99	-99	-227.3	-160.8	-227.3	-160.8	0	0	-0.0535	-0.1445	-100.3	-100.4	-0	-0	-99	-99	1	-0.0236	-0.04472	-3.387	-27.3	-2.541	-26.35	-3.111	-32.26	0	0	-0.0238	-0.03937	0.0007328	0.001018	-0	-0	-4.147	-33.43	1	-0.04952	-0.09516	-99	-99	-669.1	-420.5	-669.1	-420.5	0	0	-0.07277	-0.131	-103.8	-102.1	-0	-0	-99	-99	1	-0.0341	-0.06488	-99	-99	-289.3	-517.2	-289.3	-517.2	0	0	-0.03875	-0.08975	-103.8	-103.3	-0	-0	-99	-99	1	-0.007064	-0.01363	-99	-99	-242.3	-289.3	-242.3	-289.3	0	0	-0.0409	-0.1147	-101.2	-102	-0	-0	-99	-99	1	-0.05667	-0.1044	-99	-99	-536.8	-272.6	-536.8	-272.6	0	0	-0.04004	-0.06055	-100.1	-100.1	-0	-0	-99	-99	1	-0.0218	-0.04138	-99	-99	-1088	-343.4	-1088	-343.4	0	0	-0.00922	-0.02656	-100.2	-101.3	-0	-0	-99	-99	1	-0.01577	-0.02994	-99	-99	-960.5	-565.8	-960.5	-565.8	0	0	-0.01557	-0.04149	-101.9	-102.9	-0	-0	-99	-99	1	-0.01449	-0.0275	-99	-99	-1087	-828.2	-1087	-828.2	0	0	-0.02292	-0.04647	-102.4	-102.7	-0	-0	-99	-99	1	-0.01326	-0.02518	-99	-99	-961.3	-515.7	-961.3	-515.7	0	0	-0.0383	-0.05261	-100.2	-100.6	-0	-0	-99	-99	1	-0.007805	-0.0147	-99	-99	-261.3	-159.4	-261.3	-159.4	0	0	-0.1277	-0.1388	-100.6	-101.3	-0	-0	-99	-99	1	-0.006089	-0.01169	-99	-99	-494.2	-515.8	-544.5	-535	0	0	-0.05703	-0.05417	-100.2	-100.2	-0	-0	-99	-99	1	-0.02407	-0.04432	-99	-99	-960.5	-623.7	-960.5	-623.7	0	0	-0.04115	-0.07346	-101.4	-100.6	-0	-0	-99	-99	1	-0.005042	-0.009427	-99	-99	-261.5	-158	-261.5	-158	0	0	-0.09635	-0.1052	-101	-103.7	-0	-0	-99	-99	1	-0.00574	-0.01106	-99	-99	-801	-966.3	-830.6	-986	0	0	-0.07166	-0.08582	-101.4	-102.2	-0	-0	-99	-99	1	-0.006172	-0.01164	-99	-99	-261.4	-160.9	-261.4	-160.9	0	0	-0.09241	-0.2506	-107.7	-105.9	-0	-0	-99	-99	1	-0.007524	-0.01424	-0.8989	-26.29	-138.8	-150.3	-155.3	-166.1	0	0	-0.01082	-0.01367	-100	-100	-0	-0	-1.006	-29.42	1	-0.008553	-0.0165	-99	-99	-2992	-816.6	-3041	-851.4	0	0	-0.09488	-0.2187	-110.1	-112	-0	-0	-99	-99	1	-0.01285	-0.02433	-99	-99	-180.8	-204.1	-202.6	-221.5	0	0	-0.1923	-0.1572	-102.9	-101.3	-0	-0	-99	-99	1	-0.01317	-0.02493	-0.2984	-13.47	-1.294	-10.91	-1.477	-12.45	0	0	-0.01238	-0.03272	0.0004323	0.0005626	-0	-0	-0.3406	-15.37	1	-0.0154	-0.02967	-99	-99	-268.9	-223.5	-287.4	-236.4	0	0	-0.1279	-0.4601	-107.2	-106.7	-0	-0	-99	-99	1	-0.02694	-0.05197	-99	-99	-134.2	-162.8	-163	-191.7	0	0	-0.03319	-0.04807	-100.1	-100.1	-0	-0	-99	-99	1	-0.03957	-0.07627	-99	-99	-908.7	-1480	-968.8	-1511	0	0	-0.7459	-1.044	-447.5	-1167	-0	-0	-99	-99	1	0	0	0	0	0.0003327	-9.198e-05	-0.008064	-0.02578	-0	-0	-0	-0	0	0.0001874	0.0002429	0.0003109	-0	2245	0	2.4	1.87	-0	4319	-9e+29	16.48	16.53	-70.89	-0	-0	-9e+29	-0	7	1	0	1	3.076e-06	-0	-0.000478	-0	-0.0003997	-0	-8.398e-05	-0	-0	-0	-0.0485	-0	-0.08048	-0	-0.09258	-0	-0.000195	-0	-0	-0	-0.08067	-0	-0	-0	-1.178	-0	-7.845e-05	-0	-0.02415	-0	-9e+29	-1.571	0.003028	0	1	1.026	0.2273	2.026	53.06	1	4	0	0	-2.645e+04	0.9922	0.2405	1.992	-27.88	1	2	0	0	-0	-0	-0	-0	-0	0.01	-1	-1	-1	-1	-1	-1	0.01	-1	53.06	-27.88
Maximum value	2528752791298840057	jwst_nircam_f444w	N/A	0.015	0.04	4.247	7.797e+13	3.328e+13	9.488e+11	3.282e+11	7.653e+14	2.239e+11	1.169e+12	1.416e+14	6.309e+13	1.484e+14	1055	270.4	349.7	187	3.972e+05	58872	68.14	1.18	2.3	208.9	888.1	NULL	NULL	-99	-99	-99	-99	-99	-99	48	48	NULL	NULL	NULL	NULL	63.62	122.7	-99	-99	1	NULL	NULL	-99	-99	-99	-99	-99	-99	48	48	NULL	NULL	NULL	NULL	63.62	122.7	-99	-99	1	6.461	5.325	3.3	5.366	1.996e+05	2.291e+06	902.8	7.653e+14	0.09306	0.2566	0.4928	185.1	164.1	0.3906	0.2427	0.3906	0.2427	48	48	56.59	77.94	0.2494	0.2139	254.5	490.9	185.1	164.1	1	0.8546	1.667	535.1	702.7	2.638	1.665	2.768	1.747	48	48	356.1	542.3	0.7376	0.7349	63.62	122.7	635	720.1	1.187	0.03802	0.07318	127.2	155.8	0.06966	0.1731	0.07244	0.2027	48	48	90.24	122.7	0.02226	0.1362	63.62	122.7	141	172.7	1.194	0.321	0.6166	294.6	263.4	0.1499	0.117	0.1499	0.117	48	48	189.9	201	0.08757	0.08769	254.5	490.9	294.6	263.4	1	0.03127	0.0594	38.43	37.62	1.263	0.1794	1.263	0.1794	48	48	31.5	33.12	0.8156	0.1569	63.62	122.7	38.43	37.62	1	1.104	2.148	850.8	1034	1.097	0.8109	1.097	0.8109	48	48	594.5	763.4	0.05471	0.0621	0.3533	2	902	1096	1.203	0.9892	1.922	748.4	949.6	46.25	3.766	56.09	3.766	48	48	523	701.2	0.1124	0.1384	63.62	122.7	797.8	1012	1.213	0.3787	0.7274	404.4	350.4	0.2361	0.1608	0.2361	0.1608	48	48	145.6	156	0.08245	0.0825	254.5	490.9	404.4	350.4	1	0.01221	0.02354	23.94	23.54	3.137	2.48	3.137	2.48	48	48	19.63	20.73	1.609	1.577	63.62	122.7	23.94	23.54	1	1.079	2.084	751.9	1160	1.393	1.025	1.393	1.025	48	48	525.4	682.5	0.2492	0.2897	2.654	3	805.6	1217	1.225	1.364	2.633	1062	1056	109.8	238.4	109.8	238.4	48	48	228.2	250.2	0.3073	0.3098	254.5	490.9	1062	1056	1	0.4284	0.8229	459.8	416.6	0.2203	0.1502	0.2203	0.1502	48	48	156.5	165.6	0.02876	0.04246	254.5	490.9	459.8	416.6	1	0.02265	0.05504	26.55	26.11	0.4808	0.377	0.4808	0.377	48	48	21.76	39.07	0.2778	0.3014	63.62	122.7	26.55	26.11	1	1.264	2.444	970.5	972.1	0.9308	0.6896	0.9308	0.6896	48	48	172.1	172.3	0.04517	0.101	254.5	490.9	970.5	972.1	1	0.3832	0.7452	171.8	172	0.5015	0.123	0.5015	0.123	48	48	22.93	32.89	0.4351	0.0419	63.62	122.7	171.8	172	1	0.2172	0.4179	203.2	192.3	0.1739	0.1022	0.1739	0.1022	48	48	33	45.72	0.01633	0.0775	63.62	122.7	203.2	192.3	1	0.2014	0.388	110.8	112.8	0.1628	0.1122	0.1628	0.1122	48	48	60.52	78.45	0.03547	0.03999	63.62	122.7	110.8	112.8	1	0.1749	0.3361	182.9	173.2	0.1829	0.1127	0.1829	0.1127	48	48	34.98	63.84	0.07879	0.09662	63.62	122.7	182.9	173.2	1	0.1626	0.3123	92.66	95.06	0.6765	0.1061	0.6765	0.1061	48	48	52.43	59.3	0.4227	0.07634	63.62	122.7	92.66	95.06	1	0.2403	0.468	105.4	98.43	0.622	21.91	0.622	23.77	48	48	72.4	76.22	0.1493	11.6	63.62	122.7	114.4	106.9	1.127	0.6443	1.253	380.9	405.3	1.042	0.7675	1.042	0.7675	48	48	46.2	67.54	0.1441	0.2165	63.62	122.7	380.9	405.3	1	0.1455	0.2794	81.09	83.26	0.4806	0.1008	0.4806	0.1008	48	48	51.2	56.05	0.3435	0.08241	63.62	122.7	81.09	83.26	1	0.05089	0.09781	102.2	128.3	0.3802	130.1	0.42	146.1	48	48	66.58	104.8	0.5097	0.8446	63.62	122.7	106	134.7	1.123	0.1208	0.2323	73.42	75.81	3.577	0.1324	3.577	0.1324	48	48	46.27	50.6	1.728	0.09349	63.62	122.7	73.42	75.81	1	0.4922	0.9586	654.8	802.9	0.7866	0.5864	0.7866	0.5864	48	48	457.6	592.9	0.04799	0.05469	9.359	18.47	686.1	841.3	1.119	0.09244	0.1783	73.48	536.1	47.71	1.177e+05	50.45	1.31e+05	48	48	270.8	395.9	11.61	2.823	63.62	122.7	78.38	557.3	1.113	0.7271	1.415	839.6	1197	17.15	17.6	17.82	18.29	48	48	324.6	491.9	2.141	3.413	63.62	122.7	872.3	1243	1.128	0.7718	1.502	1641	2092	0.8493	0.6283	0.8493	0.6283	48	48	442.6	614.6	0.04708	0.05548	0	0	1707	2177	1.141	0.08475	0.1631	76.63	79.29	4.368	2.439	4.599	2.568	48	48	17.83	21.55	1.707	1.717	63.62	122.7	78.5	81.23	1.124	0.7451	1.452	1767	2043	1.477	6.962	1.477	8.451	48	48	321	493.8	0.04253	0.0521	22.14	27	1857	2148	1.214	0.1082	0.2092	795.7	846.9	123.8	1059	143.1	1225	48	48	556	625.4	41.43	10.01	63.62	122.7	830.8	884.3	1.156	9	48	48	48	888	242.4	266.5	902.8	888	328.9	97.95	612.4	48	1.899	2.127	2.41	0.04082	2245	49079	3.8	355.6	4.816e+04	4.319e+13	5.854	37.1	∞	115.1	45.06	79.93	1.347e+14	0.8106	58877	52427	28	9999	16.38	2197	677.3	151.3	642.7	111.4	693.4	49.06	1210	183.1	1685	262.2	2052	702.4	2462	1495	596.7	47.55	1126	173.2	2064	704.4	1041	157.5	5029	4198	713.8	56.24	1499	232.9	7535	1.571	1.5e+30	55796	1.213	1.397e+04	4.45e+04	1.397e+04	53.23	13967	13969	13965	13967	3.423e+04	1.391e+04	4.955e+04	1.391e+04	-27.72	13907	13910	13902	13907	17.8	17.85	17.89	17.91	17.91	17.91	17.91	1082	0.9562	17.91	1082	0.9562	17.91	-1	53.23	-27.72

"Nested" indicates whether the column is stored as a nested field inside another "struct" column.

"Value count" may be different from the total number of rows for nested columns: each nested element is counted as a single value.

Crossmatch with another catalog

HATS catalogs can be efficiently crossmatched using LSDB, which leverages the HEALPix partitioning to avoid loading the full datasets into memory:

import lsdb

mmu_jwst_gds_grizli_v7.0_all_96 = lsdb.open_catalog("https://huggingface.co/datasets/UniverseTBD/mmu_jwst_gds_grizli_v7.0_all_96")
other = lsdb.open_catalog("https://huggingface.co/datasets/<org>/<other_catalog>")

crossmatched = mmu_jwst_gds_grizli_v7.0_all_96.crossmatch(other, radius_arcsec=1.0)
print(crossmatched)

See the LSDB documentation for more details on crossmatching and other operations.

Dataset-specific context

Original survey
This dataset is based on the James Webb Space Telescope (JWST) NIRCam observations from early deep field surveys.

Data modality
The dataset consists of fixed-size image cutouts (96×96 pixels) centered on sources from photometric catalogs. The images are multi-band, with 6 or 7 filters covering wavelengths from approximately 0.9μm to 4.4μm.

Typical use cases
Images from these JWST deep field surveys have been used in a large number of scientific publications, including machine learning applications.

Caveats
Different surveys have different wavelength coverage, and missing bands are represented as arrays of zeros to simplify data loading.

Citation
The data are in the public domain. The dataset uses data products retrieved from the Dawn JWST Archive (DJA), an initiative of the Cosmic Dawn Center (DAWN).