Sample data that we have evaluated the registration workflows
Testing workflow & data for metadata/register.py script.
For Images, create a Dataset and use the ID as --target below:
OME-Zarr v0.4
Embassy image - duplicate:
python register.py --target 21520 https://uk1s3.embassy.ebi.ac.uk/idr/zarr/v0.4/idr0101A/13457227.zarr
python register.py --target 21520 --endpoint https://uk1s3.embassy.ebi.ac.uk/ --nosignrequest s3://idr/zarr/v0.4/idr0101A/13457227.zarr
AWS images - first 2 are duplicates:
python register.py --target 21520 https://s3.us-east-1.amazonaws.com/gs-public-zarr-archive/CMU-1.ome.zarr/0
python register.py --target 21520 --endpoint https://s3.us-east-1.amazonaws.com/ s3://gs-public-zarr-archive/CMU-1.ome.zarr/0 --nosignrequest
python register.py --target 21520 https://data.source.coop/joshmoore/idr-ome-ngff-samples/v0.4/idr0062A/6001240.zarr
Google cloud - bioformats2raw.layout - 3 images
python register.py --target 21520 https://storage.googleapis.com/jax-public-ngff/example_v2/LacZ_ctrl.zarr
bioformats2raw.layout (single image)
python register.py --target 21520 https://uk1s3.embassy.ebi.ac.uk/idr/zarr/v0.4/idr0048A/9846151.zarr/
plate from idr0011 (48 Wells, 1 field):
python register.py https://uk1s3.embassy.ebi.ac.uk/bia-integrator-data/S-BIAD866/7f95aba3-cfbf-4ae8-a106-edaa36f5b07f/7f95aba3-cfbf-4ae8-a106-edaa36f5b07f.zarr/
plate from idr0001 (96 Wells, 6 fields - 6 acquisitions):
python register.py https://uk1s3.embassy.ebi.ac.uk/idr/zarr/v0.4/idr0001A/2551.zarr
Test rendering settings (image also has labels)
python register.py --target 21520 https://uk1s3.embassy.ebi.ac.uk/bia-idr-integration/S-BIAD1961/experimentA/RP-TMA/RP-TMA-3_ROI01_multichannel.zarr/experimentA_backup/RP-TMA/RP-TMA-3_ROI01_multichannel.zarr/
Others
OME-Zarr v0.5
NB: register.py script works, but images are not yet viewable with omero-zarr-pixel-buffer)
Embassy image (with labels):
python register.py --target 21520 https://uk1s3.embassy.ebi.ac.uk/idr/share/ome2024-ngff-challenge/0.0.5/6001240_labels.zarr
bioformats2raw.layout
python register.py --target 21520 https://uk1s3.embassy.ebi.ac.uk/idr/share/ome2024-ngff-challenge/idr0066/ExpB_whole_cns_MIP.ome.zarr
Plate
python register.py https://uk1s3.embassy.ebi.ac.uk/idr/zarr/v0.5/idr0010/76-45.ome.zarr
Sample data that we have evaluated the registration workflows
Testing workflow & data for
metadata/register.pyscript.For Images, create a Dataset and use the ID as --target below:
OME-Zarr v0.4
Embassy image - duplicate:
AWS images - first 2 are duplicates:
Google cloud - bioformats2raw.layout - 3 images
bioformats2raw.layout (single image)
plate from idr0011 (48 Wells, 1 field):
plate from idr0001 (96 Wells, 6 fields - 6 acquisitions):
Test rendering settings (image also has labels)
Others
unint32)OME-Zarr v0.5
NB:
register.pyscript works, but images are not yet viewable with omero-zarr-pixel-buffer)Embassy image (with labels):
bioformats2raw.layout
Plate