Collections / geo-gse274447

geo-gse274447

Datasets3
Size~657 MB
AssayStereo-seq
Samplemouse · brain
KindOther
Flag a data issue
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse274447")
cohort.members        # the 3 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-gse274447")
coll.ordered_artifacts.to_dataframe()   # the 3 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-gse274447 --dest data/

Licenses: 3 NCBI GEO policy

Open in Vitessce
Stereo-seq
Mouse brain
GSM9659884
mouse brain 56.0 MB 65,992 obs bronze NCBI GEO policy
TechnologyStereo-seq
Organismmouse
Tissuebrain
Size56.0 MB
Obs65,992
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
Stereo-seq
Mouse brain
GSM8449354
mouse brain 74.5 MB 39,862 obs bronze NCBI GEO policy
TechnologyStereo-seq
Organismmouse
Tissuebrain
Size74.5 MB
Obs39,862
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
Stereo-seq
Mouse brain
GSM9659883
mouse brain 526 MB 123,921 obs bronze NCBI GEO policy
TechnologyStereo-seq
Organismmouse
Tissuebrain
Size526 MB
Obs123,921
bronze NCBI GEO policy Open in Vitessce