Collections / geo-gse342738

geo-gse342738

Datasets3
Size~4.1 GB
AssayVisium HD
Samplehuman · multiple
KindReplicates
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="geo-gse342738")
coll.ordered_artifacts.df()                 # the 3 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]

# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()}
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Obs702,244
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