Collections / geo-gse332731

geo-gse332731

Datasets2
Size~1.4 GB
TechnologyVisium HD
Samplemouse · lung
KindOther
Flag a data issue
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse332731")
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="geo-gse332731")
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 geo-gse332731 --dest data/

Licenses: 2 NCBI GEO policy

Open in Vitessce
Visium HD
Mouse lung
GSM9752692
mouse lung 725 MB 350,126 bins silver NCBI GEO policy
TechnologyVisium HD
Organismmouse
Tissuelung
Size725 MB
Bins350,126
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium HD
Mouse lung
GSM9752693
mouse lung 681 MB 347,278 bins silver NCBI GEO policy
TechnologyVisium HD
Organismmouse
Tissuelung
Size681 MB
Bins347,278
silver NCBI GEO policy Open in Vitessce