Collections / Regional differential gene expression analyses of brains from four 24w-old Nf1+- mice
Regional differential gene expression analyses of brains from four 24w-old Nf1+- mice
Datasets4
Size~1.4 GB
AssayVisium
Samplemouse · brain
KindOther
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("hest-regional-differential-gene-expression-analyses-of-brains-from-four-24w-old-nf1-mice")
cohort.members # the 4 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="hest-regional-differential-gene-expression-analyses-of-brains-from-four-24w-old-nf1-mice")
coll.ordered_artifacts.to_dataframe() # the 4 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 hest-regional-differential-gene-expression-analyses-of-brains-from-four-24w-old-nf1-mice --dest data/ Licenses: 4 CC BY-NC-SA 4.0
Member datasets · 4