Collections / geo-gse292156

geo-gse292156

Datasets3
Size~79.7 MB
AssayStereo-seq
Samplehuman · skin of body
KindOther
Flag a data issue
Download the whole collection
Python · sddb client 
from sddb import Catalog

cohort = Catalog().collection("geo-gse292156")
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/")
Install (Python 3.12+) Docs →
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-gse292156")
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()]
Install (Python 3.12+) Docs →
Shell 
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse292156 --dest data/
Install (Python 3.12+) Docs →

Licenses: 3 NCBI GEO policy

Member datasets · 3
Open in Vitessce
Stereo-seq
Human skin of body
GSM8851325
human skin of body 32.1 MB 28,526 obs bronze NCBI GEO policy
TechnologyStereo-seq
Organismhuman
Tissueskin of body
Size32.1 MB
Obs28,526
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
Stereo-seq
Human skin of body
GSM8851327
human skin of body 21.1 MB 24,557 obs bronze NCBI GEO policy
TechnologyStereo-seq
Organismhuman
Tissueskin of body
Size21.1 MB
Obs24,557
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
Stereo-seq
Human skin of body
GSM8851326
human skin of body 26.4 MB 25,242 obs bronze NCBI GEO policy
TechnologyStereo-seq
Organismhuman
Tissueskin of body
Size26.4 MB
Obs25,242
bronze NCBI GEO policy Open in Vitessce