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Visium HD

Mouse lung

GSM9752692

silver Interactive viewer No linked publication
Visium HD
print(sdata)
SpatialData object
├── Shapes
│     ├── 'GSM9752692_S25_002um_square_002um': GeoDataFrame shape: (5573998, 1) (2D shapes)
│     ├── 'GSM9752692_S25_002um_square_008um': GeoDataFrame shape: (350126, 1) (2D shapes)
│     ├── 'GSM9752692_S25_002um_square_016um': GeoDataFrame shape: (88074, 1) (2D shapes)
│     └── 'GSM9752692_S25_002um_square_016um_for_vitessce': GeoDataFrame shape: (88074, 2) (2D shapes)
└── Tables
      ├── 'square_002um': AnnData (5573998, 19059)
      ├── 'square_008um': AnnData (350126, 19059)
      └── 'square_016um': AnnData (88074, 19059)
with coordinate systems:
    ▸ 'GSM9752692_S25_002um', with elements:
        GSM9752692_S25_002um_square_002um (Shapes), GSM9752692_S25_002um_square_008um (Shapes), GSM9752692_S25_002um_square_016um (Shapes), GSM9752692_S25_002um_square_016um_for_vitessce (Shapes)
    ▸ 'GSM9752692_S25_002um_downscaled_hires', with elements:
        GSM9752692_S25_002um_square_002um (Shapes), GSM9752692_S25_002um_square_008um (Shapes), GSM9752692_S25_002um_square_016um (Shapes), GSM9752692_S25_002um_square_016um_for_vitessce (Shapes)
    ▸ 'GSM9752692_S25_002um_downscaled_lowres', with elements:
        GSM9752692_S25_002um_square_002um (Shapes), GSM9752692_S25_002um_square_008um (Shapes), GSM9752692_S25_002um_square_016um (Shapes), GSM9752692_S25_002um_square_016um_for_vitessce (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("2EBoEj5gxtfy46ez0000")
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("2EBoEj5gxtfy46ez")   # 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 2EBoEj5gxtfy46ez0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/2EBoEj5gxtfy46ez

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 2EBoEj5gxtfy46ez

License: NCBI GEO policy

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue
Part of collection
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2 datasets · other

Metadata

Technology
Visium HD
Vendor
10x Genomics
Organism
mouse
Tissue
lung
Modality
RNA
Observations (bins)
350,126
Tier
silver
Size
725 MB
Sample ID
GSM9752692
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