Collections / geo-gse341382

geo-gse341382

Datasets2
Size~3.4 GB
TechnologyVisium HD
Samplemouse · lung
KindOther
Flag a data issue
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse341382")
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-gse341382")
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-gse341382 --dest data/

Licenses: 2 NCBI GEO policy

Open in Vitessce
Visium HD
Mouse lung
GSM9905857
mouse lung non-small cell lung carcinoma 2.0 GB 583,055 bins silver NCBI GEO policy
TechnologyVisium HD
Organismmouse
Tissuelung
Conditionnon-small cell lung carcinoma
Size2.0 GB
Bins583,055
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium HD
Mouse lung
GSM9905856
mouse lung non-small cell lung carcinoma 1.4 GB 554,078 bins silver NCBI GEO policy
TechnologyVisium HD
Organismmouse
Tissuelung
Conditionnon-small cell lung carcinoma
Size1.4 GB
Bins554,078
silver NCBI GEO policy Open in Vitessce