Visium

Mouse brain

GSM9817881

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Preview Client Lamin CLI

print(sdata)

SpatialData object
├── Images
│     ├── 'GSM9817881_A_brain_full_image': DataTree[cyx] (3, 3000, 3000), (3, 1500, 1500), (3, 750, 750), (3, 375, 375), (3, 187, 187)
│     ├── 'GSM9817881_A_brain_hires_image': DataArray[cyx] (3, 2000, 686)
│     └── 'GSM9817881_A_brain_lowres_image': DataArray[cyx] (3, 600, 206)
├── Shapes
│     └── 'GSM9817881_A_brain': GeoDataFrame shape: (2373, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (2373, 19465)
with coordinate systems:
    ▸ 'GSM9817881_A_brain', with elements:
        GSM9817881_A_brain_full_image (Images), GSM9817881_A_brain_hires_image (Images), GSM9817881_A_brain_lowres_image (Images), GSM9817881_A_brain (Shapes)
    ▸ 'GSM9817881_A_brain_downscaled_hires', with elements:
        GSM9817881_A_brain_hires_image (Images), GSM9817881_A_brain (Shapes)
    ▸ 'GSM9817881_A_brain_downscaled_lowres', with elements:
        GSM9817881_A_brain_lowres_image (Images), GSM9817881_A_brain (Shapes)

Install (Python 3.12+) Docs →

Python · sddb client

from sddb import Catalog

ds = Catalog().dataset("hJsUy7aOMpwZsyz20001")
ds.elements()          # inspect without downloading
sdata = ds.to_sdata()  # cached locally, reused
print(sdata)

Install (Python 3.12+) Docs →

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("hJsUy7aOMpwZsyz2")   # 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

Install (Python 3.12+) Docs →

Shell

# sddb client: download the .zarr into data/
sddb-cli download hJsUy7aOMpwZsyz20001 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/hJsUy7aOMpwZsyz2

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid hJsUy7aOMpwZsyz2

Install (Python 3.12+) Docs →

License: CC BY 4.0

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Part of collection

Pericyte KATP Channel Hyperactivity Redistributes Cortical Blood Flow in a CADASIL Mouse Model→

8 datasets · comparison

Metadata

Technology: Visium
Organism: mouse
Tissue: brain
Modality: RNA
Chemistry: Visium CytAssist v2
Resolution: 686 × 2,000 px
mpp: 12.860 µm/px
Size: 43.1 MB
Sample ID: GSM9817881
License: CC BY 4.0
Published: Jun 22, 2026

Cite this dataset

doi.org/10.1038/s44161-026-00844-0 ↗

BibTeX

@article{Jeffrey_2026,
  title = {Pericyte KATP channel hyperactivity redistributes cortical blood flow in a CADASIL mouse model},
  volume = {5},
  ISSN = {2731-0590},
  url = {http://dx.doi.org/10.1038/s44161-026-00844-0},
  DOI = {10.1038/s44161-026-00844-0},
  number = {8},
  journal = {Nature Cardiovascular Research},
  publisher = {Springer Science and Business Media LLC},
  author = {Jeffrey, Danielle A. and Prince, Eric W. and Khakpour, Niloufar and Ferris, Hannah R. and Peters, Colin H. and Seedorf, Gregory and Romero, Phinea Z. and Bueno Guerrero, Mayra and Russell, Abigail N. and Glodoski, Katherine and Futia, Gregory L. and Bonney, Stephanie K. and Thornton, Michael A. and Gibson, Emily A. and Proenza, Catherine and Garcia, Anastacia M. and Tsoukias, Nikolaos M. and Dabertrand, Fabrice},
  year = {2026},
  month = Aug,
  pages = {725–743}
}

Source: NCBI GEO ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB