Table 5.

List OME-Zarr resources data belonging to the authors, broken down by storage types in the order they are described below along with rough estimates of their size at the time of publication

Storage	Catalog	Dashboards/datasets	Zarr files	Size
Amazon S3	Cell painting gallery	https://github.com/broadinstitute/cellpainting-gallery	136	20 TB
	DANDI	https://dandiarchive.org/dandiset/000108 https://identifiers.org/DANDI:000108 https://github.com/dandisets/000108	3914	355 TB
	Neural dynamics	https://registry.opendata.aws/allen-nd-open-data/	90	200 TB
	Glencoe	https://glencoesoftware.com/ngff	8	165 GB
Alternative S3 providers	BIA samples	https://bit.ly/bia-ome-ngff-samples	90	200 GB
	IDR samples	https://idr.github.io/ome-ngff-samples/	88	3 TB
	Sanger	https://www.sanger.ac.uk/project/ome-zarr/	10	1 TB
	SSBD	https://ssbd.riken.jp/ssbd-ome-ngff-samples	12	196 GB
On-premise	CZB-Zebrahub	https://zebrahub.org	5	1.2 TB compressed
	MoBIE	https://mobie.github.io/specs/ngff.html	21	2 TB
	SpatialData	https://github.com/scverse/spatialdata-notebooks/tree/main/datasets	10	25 GB
	webKnossos	https://zarr.webknossos.org	69	70 TB
In-progress	Brain Image Library	https://www.brainimagelibrary.org/
	HuBMAP	https://portal.hubmapconsortium.org/
	OpenOrganelle	https://openorganelle.janelia.org/datasets

These include catalogs and dashboards which will help the reader discover datasets as well as some resources which are migrating to OME-Zarr. An up-to-date version of the table is maintained at https://ngff.openmicroscopy.org/data and contributions are welcome