Human kidney
GSM9802211
human kidney kidney disorder 544 MB 205,569 bins silver H&E NCBI GEO policy
TechnologyVisium HD
Organismhuman
Tissuekidney
Conditionkidney disorder
Bins205,569
silver H&E NCBI GEO policy
Collections / geo-gse334924-camr-kidney
geo-gse334924-camr-kidney
Matched single-cell and Visium HD of a chronic antibody-mediated rejection kidney graft (human).
Datasets1
Size~544 MB
AssayVisium HD
Samplehuman · kidney
KindOther
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("geo-gse334924-camr-kidney")
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="geo-gse334924-camr-kidney")
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 geo-gse334924-camr-kidney --dest data/Licenses: 1 NCBI GEO policy
Member datasets · 1