Visium HD

Mouse lung

GSM9752693

silver Interactive viewer No linked publication

Visium HD

Preview Client Lamin CLI

print(sdata)

SpatialData object
├── Shapes
│     ├── 'GSM9752693_S26_002um_square_002um': GeoDataFrame shape: (5555032, 1) (2D shapes)
│     ├── 'GSM9752693_S26_002um_square_008um': GeoDataFrame shape: (347278, 1) (2D shapes)
│     ├── 'GSM9752693_S26_002um_square_016um': GeoDataFrame shape: (87103, 1) (2D shapes)
│     └── 'GSM9752693_S26_002um_square_016um_for_vitessce': GeoDataFrame shape: (87103, 2) (2D shapes)
└── Tables
      ├── 'square_002um': AnnData (5555032, 19059)
      ├── 'square_008um': AnnData (347278, 19059)
      └── 'square_016um': AnnData (87103, 19059)
with coordinate systems:
    ▸ 'GSM9752693_S26_002um', with elements:
        GSM9752693_S26_002um_square_002um (Shapes), GSM9752693_S26_002um_square_008um (Shapes), GSM9752693_S26_002um_square_016um (Shapes), GSM9752693_S26_002um_square_016um_for_vitessce (Shapes)
    ▸ 'GSM9752693_S26_002um_downscaled_hires', with elements:
        GSM9752693_S26_002um_square_002um (Shapes), GSM9752693_S26_002um_square_008um (Shapes), GSM9752693_S26_002um_square_016um (Shapes), GSM9752693_S26_002um_square_016um_for_vitessce (Shapes)
    ▸ 'GSM9752693_S26_002um_downscaled_lowres', with elements:
        GSM9752693_S26_002um_square_002um (Shapes), GSM9752693_S26_002um_square_008um (Shapes), GSM9752693_S26_002um_square_016um (Shapes), GSM9752693_S26_002um_square_016um_for_vitessce (Shapes)

Install (Python 3.12+) Docs →

Python · sddb client

from sddb import Catalog

ds = Catalog().dataset("Ga6lNbgGwBERhjB40000")
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("Ga6lNbgGwBERhjB4")   # 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 Ga6lNbgGwBERhjB40000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/Ga6lNbgGwBERhjB4

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Ga6lNbgGwBERhjB4

Install (Python 3.12+) Docs →

License: NCBI GEO policy

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Part of collection

geo-gse332731→

2 datasets · other

Metadata

Technology: Visium HD
Vendor: 10x Genomics
Organism: mouse
Tissue: lung
Modality: RNA
Observations (bins): 347,278
Tier: silver
Size: 681 MB
Sample ID: GSM9752693
License: NCBI GEO policy
Published: Jul 1, 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