Human breast
S-BIAD1507:TMA43_R10C6
human breast triple-negative breast carcinoma 408 MB 1,116 obs bronze
TechnologyMIBI-TOF
Organismhuman
Tissuebreast
Conditiontriple-negative breast carcinoma
Obs1,116
bronze
from sddb import Catalog
cohort = Catalog().collection("bia-s-biad1507")
cohort.members # the 534 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/") 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="bia-s-biad1507")
coll.ordered_artifacts.to_dataframe() # the 534 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()] # sddb client: download every member .zarr into data/
sddb-cli download --collection bia-s-biad1507 --dest data/ Licenses: 534 CC BY 4.0
No linked publication found — please cite the data source.