Mouse brain
SPA12
mouse brain 150 MB 264 spots silver H&E
Technologyspatial transcriptomics
Organismmouse
Tissuebrain
Spots264
silver H&E
from sddb import Catalog
cohort = Catalog().collection("doi-10-1126-science-aaf2403")
cohort.members # the 84 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="doi-10.1126/science.aaf2403")
coll.ordered_artifacts.to_dataframe() # the 84 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 doi-10-1126-science-aaf2403 --dest data/ Licenses: 84 CC BY-NC-SA 4.0
@article{St_hl_2016,
title = {Visualization and analysis of gene expression in tissue sections by spatial transcriptomics},
volume = {353},
ISSN = {1095-9203},
url = {http://dx.doi.org/10.1126/science.aaf2403},
DOI = {10.1126/science.aaf2403},
number = {6294},
journal = {Science},
publisher = {American Association for the Advancement of Science (AAAS)},
author = {Ståhl, Patrik L. and Salmén, Fredrik and Vickovic, Sanja and Lundmark, Anna and Navarro, José Fernández and Magnusson, Jens and Giacomello, Stefania and Asp, Michaela and Westholm, Jakub O. and Huss, Mikael and Mollbrink, Annelie and Linnarsson, Sten and Codeluppi, Simone and Borg, Åke and Pontén, Fredrik and Costea, Paul Igor and Sahlén, Pelin and Mulder, Jan and Bergmann, Olaf and Lundeberg, Joakim and Frisén, Jonas},
year = {2016},
month = July,
pages = {78–82}
}