CosMx SMI
Human unknown
20199229:CxAms124S1
human unknown cancer 4.0 GB 329,828 cells bronze
TechnologyCosMx SMI
Organismhuman
Tissueunknown
Conditioncancer
Cells329,828
bronze
Collections / zenodo-20199229
zenodo-20199229
Datasets2
Size~9.8 GB
TechnologyCosMx SMI
Samplehuman · unknown
KindPublication
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("zenodo-20199229")
cohort.members # the 2 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-20199229")
coll.ordered_artifacts.to_dataframe() # the 2 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-20199229 --dest data/Licenses: 2 CC BY 4.0
Member datasets · 2
CosMx SMI
Human unknown
20199229:CxAms124S2
human unknown cancer 5.8 GB 345,886 cells bronze
TechnologyCosMx SMI
Organismhuman
Tissueunknown
Conditioncancer
Cells345,886
bronze
Cite this collection
No linked publication found — please cite the data source.