Collections / zenodo-17617626

zenodo-17617626

Datasets1
Size~147 MB
AssayStereo-seq
Samplehuman · skin of body
KindPublication
Flag a data issue
10.5281/zenodo.17617626 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("zenodo-17617626")
cohort.members        # the 1 datasets as a table

print(cohort.licenses())              # check the terms before you download

sdatas = cohort.to_dict()             # {uid: SpatialData}, cached locally
# or keep the .zarr files in a folder of your choice:
# sdatas = cohort.to_dict(dest="data/")
Python · lamindb

Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.

import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
coll = db.Collection.get(key="zenodo-17617626")
coll.ordered_artifacts.to_dataframe()   # the 1 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection zenodo-17617626 --dest data/

Licenses: 1 CC BY 4.0

Open in Vitessce
Stereo-seq
Human skin of body
17617626:B01210C3
human skin of body hidradenitis suppurativa 147 MB 233,162 obs bronze
TechnologyStereo-seq
Organismhuman
Tissueskin of body
Conditionhidradenitis suppurativa
Size147 MB
Obs233,162
bronze Open in Vitessce

Cite this collection

No linked publication found — please cite the data source.