Visium
Crab-eating macaque dorsal root ganglion
GSM9369736
silver Interactive viewer H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1_hires_image': DataArray[cyx] (3, 2000, 1972)
│ └── 'GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1_lowres_image': DataArray[cyx] (3, 600, 592)
├── Shapes
│ └── 'GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1': GeoDataFrame shape: (4983, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4983, 22000)
with coordinate systems:
▸ 'GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1', with elements:
GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1_hires_image (Images), GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1_lowres_image (Images), GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1 (Shapes)
▸ 'GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1_downscaled_hires', with elements:
GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1_hires_image (Images), GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1 (Shapes)
▸ 'GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1_downscaled_lowres', with elements:
GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1_lowres_image (Images), GSM9369736_UTD-MF-DrpZ41-6C-B-VIS1 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("VMdJi4BPlW9NEF6y") # 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 Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/VMdJi4BPlW9NEF6y
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid VMdJi4BPlW9NEF6y Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["VMdJi4BPlW9NEF6y0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- Visium
- Organism
- crab-eating macaque
- Tissue
- dorsal root ganglion
- Modality
- RNA
- Observations
- 4,983
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,972 × 2,000 px
- mpp
- 3.470 µm/px
- Size
- 11 MB
- Sample ID
- GSM9369736
- License
- unknown
- Published
- Aug 5, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB