CosMx SMI
Human skin of body
11108209:Run5469_S2
human skin of body melanoma 880 MB 64,277 cells bronze CC0 1.0
TechnologyCosMx SMI
Organismhuman
Tissueskin of body
Conditionmelanoma
Cells64,277
bronze CC0 1.0
Collections / zenodo-11108209
zenodo-11108209
Datasets4
Size~3.8 GB
TechnologyCosMx SMI
Samplehuman · skin of body
KindPublication
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("zenodo-11108209")
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="zenodo-11108209")
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 zenodo-11108209 --dest data/Licenses: 4 CC0 1.0
Member datasets · 4
CosMx SMI
Human skin of body
11108209:Run5611_MK3
human skin of body melanoma 1.0 GB 86,572 cells bronze CC0 1.0
TechnologyCosMx SMI
Organismhuman
Tissueskin of body
Conditionmelanoma
Cells86,572
bronze CC0 1.0
CosMx SMI
Human skin of body
11108209:Run5469_S3
human skin of body melanoma 1.1 GB 75,862 cells bronze CC0 1.0
TechnologyCosMx SMI
Organismhuman
Tissueskin of body
Conditionmelanoma
Cells75,862
bronze CC0 1.0
CosMx SMI
Human skin of body
11108209:Run5469_S1
human skin of body melanoma 876 MB 67,576 cells bronze CC0 1.0
TechnologyCosMx SMI
Organismhuman
Tissueskin of body
Conditionmelanoma
Cells67,576
bronze CC0 1.0
Cite this collection
No linked publication found — please cite the data source.