Mouse bone marrow
23672666:QuantCell_bone_marrow_PhenoCycler
mouse bone marrow 1.9 GB 158,481 cells bronze
TechnologyPhenoCycler
Organismmouse
Tissuebone marrow
Cells158,481
bronze
Collections / zenodo-23672666
zenodo-23672666
Datasets1
Size~1.9 GB
AssayPhenoCycler
Samplemouse · bone marrow
KindPublication
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("zenodo-23672666")
cohort.members # the 1 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="zenodo-23672666")
coll.ordered_artifacts.to_dataframe() # the 1 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 zenodo-23672666 --dest data/Licenses: 1 CC BY 4.0
About the study
QuantCell: machine learning based cell annotation integrating qualitative and quantitative imaging profiles
Read the abstract at the source →Member datasets · 1
Cite this collection
No linked publication found — please cite the data source.