Collections / geo-gse297068

geo-gse297068

Datasets2
Size~1.2 GB
AssayStereo-seq
Samplemouse · olfactory segment of nasal mucosa
KindOther
Flag a data issue
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse297068")
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-gse297068")
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-gse297068 --dest data/

Licenses: 2 NCBI GEO policy

Open in Vitessce
Stereo-seq
Mouse olfactory segment of nasal mucosa
GSM9579158
mouse olfactory segment of nasal mucosa 667 MB 98,274 cells bronze NCBI GEO policy
TechnologyStereo-seq
Organismmouse
Tissueolfactory segment of nasal mucosa
Size667 MB
Cells98,274
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
Stereo-seq
Mouse olfactory segment of nasal mucosa
GSM9579157
mouse olfactory segment of nasal mucosa 564 MB 77,023 cells bronze NCBI GEO policy
TechnologyStereo-seq
Organismmouse
Tissueolfactory segment of nasal mucosa
Size564 MB
Cells77,023
bronze NCBI GEO policy Open in Vitessce