MERFISH
Mouse brain
Zhuang-ABCA-1.010
silver Interactive viewer ✓ Verified publication

print(sdata)
SpatialData object
├── Shapes
│ └── 'cell_circles': GeoDataFrame shape: (8144, 2) (2D shapes)
└── Tables
└── 'table': AnnData (8144, 1122)
with coordinate systems:
▸ 'global', with elements:
cell_circles (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("SyV1XUGM5cgaqyb90000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) 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")
artifact = db.Artifact.get("SyV1XUGM5cgaqyb9") # stem uid: Lamin resolves it to the latest version
sdata = artifact.load() # cache, then load into memory
group = artifact.open() # stream without downloading
path = artifact.cache() # sync into the local cache, returns the path Shell
# sddb client: download the .zarr into data/
sddb-cli download SyV1XUGM5cgaqyb90000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/SyV1XUGM5cgaqyb9
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid SyV1XUGM5cgaqyb9 License: Allen Institute Terms of Use (noncommercial)
Metadata
- Technology
- MERFISH
- Organism
- mouse
- Tissue
- brain
- Modality
- RNA
- Observations (cells)
- 8,144
- Tier
- silver
- Size
- 5.0 MB
- Sample ID
- Zhuang-ABCA-1.010
- License
- Allen Institute Terms of Use NonCommercial
- Published
- Dec 13, 2023
Cite this dataset
doi.org/10.1038/s41586-023-06808-9 ↗ BibTeX
@article{Zhang_2023,
title = {Molecularly defined and spatially resolved cell atlas of the whole mouse brain},
volume = {624},
ISSN = {1476-4687},
url = {http://dx.doi.org/10.1038/s41586-023-06808-9},
DOI = {10.1038/s41586-023-06808-9},
number = {7991},
journal = {Nature},
publisher = {Springer Science and Business Media LLC},
author = {Zhang, Meng and Pan, Xingjie and Jung, Won and Halpern, Aaron R. and Eichhorn, Stephen W. and Lei, Zhiyun and Cohen, Limor and Smith, Kimberly A. and Tasic, Bosiljka and Yao, Zizhen and Zeng, Hongkui and Zhuang, Xiaowei},
year = {2023},
month = Dec,
pages = {343–354}
} Source: alleninstitute.github.io ↗ · License: Allen Institute Terms of Use ↗ · Reprocessed to SpatialData by SpatialData-DB