Collections / geo-gse276063

geo-gse276063

Datasets1
Size~240 MB
AssayStereo-seq
Samplemouse · liver
KindOther
Flag a data issue
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse276063")
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-gse276063")
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-gse276063 --dest data/

Licenses: 1 NCBI GEO policy

Open in Vitessce
Stereo-seq
Mouse liver
GSE276063:B02822B2
mouse liver 240 MB 89,983 obs bronze NCBI GEO policy
TechnologyStereo-seq
Organismmouse
Tissueliver
Size240 MB
Obs89,983
bronze NCBI GEO policy Open in Vitessce