Collections / geo-gse307496

geo-gse307496

Datasets2
Size~1.2 GB
AssayStereo-seq
Samplecow · testis
KindOther
Flag a data issue
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse307496")
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-gse307496")
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-gse307496 --dest data/

Licenses: 2 NCBI GEO policy

Open in Vitessce
Stereo-seq
Cow testis
GSM9225626
cow testis 746 MB 394,125 cells bronze NCBI GEO policy
TechnologyStereo-seq
Organismcow
Tissuetestis
Size746 MB
Cells394,125
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
Stereo-seq
Cow testis
GSM9225625
cow testis 485 MB 538,856 cells bronze NCBI GEO policy
TechnologyStereo-seq
Organismcow
Tissuetestis
Size485 MB
Cells538,856
bronze NCBI GEO policy Open in Vitessce