Collections / bia-s-biad2491

bia-s-biad2491

Datasets2
Size~7.5 GB
AssayPhenoCycler-Fusion
Samplehuman · tonsil
KindOther
Flag a data issue
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("bia-s-biad2491")
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="bia-s-biad2491")
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 bia-s-biad2491 --dest data/

Licenses: 2 CC0 1.0

Open in Vitessce
PhenoCycler-Fusion
Human tonsil
S-BIAD2491:250902_Fresh_Slide4_Storageconditions_Scan1
human tonsil 3.7 GB 289,534 cells silver CC0 1.0
TechnologyPhenoCycler-Fusion
Organismhuman
Tissuetonsil
Size3.7 GB
Cells289,534
silver CC0 1.0 Open in Vitessce
Open in Vitessce
PhenoCycler-Fusion
Human tonsil
S-BIAD2491:250903_RTVC_Slide2_Storageconditions_Scan1
human tonsil 3.8 GB 315,579 cells silver CC0 1.0
TechnologyPhenoCycler-Fusion
Organismhuman
Tissuetonsil
Size3.8 GB
Cells315,579
silver CC0 1.0 Open in Vitessce