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Visium

Mouse entorhinal cortex

GSM10058096

silver H&E No linked publication
Mouse entorhinal cortex preview
print(sdata)
SpatialData object
├── Images
│     └── 'GSM10058096_Young2_s4_hires_image': DataArray[cyx] (3, 1993, 2000)
├── Shapes
│     └── 'GSM10058096_Young2_s4': GeoDataFrame shape: (2678, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (2678, 32285)
with coordinate systems:
    ▸ 'GSM10058096_Young2_s4', with elements:
        GSM10058096_Young2_s4_hires_image (Images), GSM10058096_Young2_s4 (Shapes)
    ▸ 'GSM10058096_Young2_s4_downscaled_hires', with elements:
        GSM10058096_Young2_s4_hires_image (Images), GSM10058096_Young2_s4 (Shapes)
    ▸ 'GSM10058096_Young2_s4_downscaled_lowres', with elements:
        GSM10058096_Young2_s4 (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("QMA7jKa95ejhvQSY0000")
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("QMA7jKa95ejhvQSY")   # 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 QMA7jKa95ejhvQSY0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/QMA7jKa95ejhvQSY

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid QMA7jKa95ejhvQSY

License: NCBI GEO policy

View on Lamin ↗ Flag a data issue

Metadata

Technology
Visium
Organism
mouse
Tissue
entorhinal cortex
Modality
RNA
Observations (spots)
2,678
Tier
silver
Chemistry
Visium v1
Resolution
2,000 × 1,993 px
mpp
3.422 µm/px
Size
65.6 MB
Sample ID
GSM10058096
License
NCBI GEO policy
Published
Sep 17, 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