Visium

Crab-eating macaque dorsal root ganglion

GSM9369728

silver Interactive viewer H&E No linked publication

Crab-eating macaque dorsal root ganglion preview

Preview Client Lamin CLI

print(sdata)

SpatialData object
├── Images
│     ├── 'GSM9369728_UTD-MF-1611266-VIS1_hires_image': DataArray[cyx] (3, 2000, 1963)
│     └── 'GSM9369728_UTD-MF-1611266-VIS1_lowres_image': DataArray[cyx] (3, 600, 589)
├── Shapes
│     └── 'GSM9369728_UTD-MF-1611266-VIS1': GeoDataFrame shape: (4992, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (4992, 22000)
with coordinate systems:
    ▸ 'GSM9369728_UTD-MF-1611266-VIS1', with elements:
        GSM9369728_UTD-MF-1611266-VIS1_hires_image (Images), GSM9369728_UTD-MF-1611266-VIS1_lowres_image (Images), GSM9369728_UTD-MF-1611266-VIS1 (Shapes)
    ▸ 'GSM9369728_UTD-MF-1611266-VIS1_downscaled_hires', with elements:
        GSM9369728_UTD-MF-1611266-VIS1_hires_image (Images), GSM9369728_UTD-MF-1611266-VIS1 (Shapes)
    ▸ 'GSM9369728_UTD-MF-1611266-VIS1_downscaled_lowres', with elements:
        GSM9369728_UTD-MF-1611266-VIS1_lowres_image (Images), GSM9369728_UTD-MF-1611266-VIS1 (Shapes)

Install (Python 3.12+) Docs →

Python · sddb client

from sddb import Catalog

ds = Catalog().dataset("8cscDuzaohoW64vk0000")
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("8cscDuzaohoW64vk")   # 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 8cscDuzaohoW64vk0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/8cscDuzaohoW64vk

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 8cscDuzaohoW64vk

Install (Python 3.12+) Docs →

License: NCBI GEO policy

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Part of collection

Spatial transcriptomics dataset of non-human primates→

18 datasets · other

Metadata

Technology: Visium
Organism: crab-eating macaque
Tissue: dorsal root ganglion
Modality: RNA
Observations (spots): 4,992
Tier: silver
Chemistry: Visium v1
Resolution: 1,963 × 2,000 px
mpp: 3.608 µm/px
Size: 8.7 MB
Sample ID: GSM9369728
License: NCBI GEO policy
Published: Aug 5, 2026

Cite this dataset

No linked publication found — please cite the data source: NCBI GEO ↗.

Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB