← All datasets
Visium HD

Human central amygdaloid nucleus

GSM9937426

silver Interactive viewer H&E No linked publication
Human central amygdaloid nucleus preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM9937426_Br8325_CeA_hires_image': DataArray[cyx] (3, 5273, 6000)
│     └── 'GSM9937426_Br8325_CeA_lowres_image': DataArray[cyx] (3, 528, 600)
├── Shapes
│     ├── 'GSM9937426_Br8325_CeA_square_002um': GeoDataFrame shape: (11222500, 1) (2D shapes)
│     ├── 'GSM9937426_Br8325_CeA_square_008um': GeoDataFrame shape: (702244, 1) (2D shapes)
│     └── 'GSM9937426_Br8325_CeA_square_008um_for_vitessce': GeoDataFrame shape: (702244, 2) (2D shapes)
└── Tables
      ├── 'square_002um': AnnData (11222500, 37082)
      └── 'square_008um': AnnData (702244, 37082)
with coordinate systems:
    ▸ 'GSM9937426_Br8325_CeA', with elements:
        GSM9937426_Br8325_CeA_hires_image (Images), GSM9937426_Br8325_CeA_lowres_image (Images), GSM9937426_Br8325_CeA_square_002um (Shapes), GSM9937426_Br8325_CeA_square_008um (Shapes), GSM9937426_Br8325_CeA_square_008um_for_vitessce (Shapes)
    ▸ 'GSM9937426_Br8325_CeA_downscaled_hires', with elements:
        GSM9937426_Br8325_CeA_hires_image (Images), GSM9937426_Br8325_CeA_square_002um (Shapes), GSM9937426_Br8325_CeA_square_008um (Shapes), GSM9937426_Br8325_CeA_square_008um_for_vitessce (Shapes)
    ▸ 'GSM9937426_Br8325_CeA_downscaled_lowres', with elements:
        GSM9937426_Br8325_CeA_lowres_image (Images), GSM9937426_Br8325_CeA_square_002um (Shapes), GSM9937426_Br8325_CeA_square_008um (Shapes), GSM9937426_Br8325_CeA_square_008um_for_vitessce (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("r5VyXRQ5qdlEEJWb0000")
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("r5VyXRQ5qdlEEJWb")   # 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 r5VyXRQ5qdlEEJWb0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/r5VyXRQ5qdlEEJWb

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid r5VyXRQ5qdlEEJWb

License: NCBI GEO policy

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue
Part of collection
geo-gse342738→
5 datasets · replicates

Metadata

Technology
Visium HD
Organism
human
Tissue
central amygdaloid nucleus
Modality
RNA
Observations (bins)
702,244
Tier
silver
Resolution
6,000 × 5,273 px
mpp
4.090 µm/px
Size
1.3 GB
Sample ID
GSM9937426
License
NCBI GEO policy
Published
Aug 24, 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