Visium HD
Human central amygdaloid nucleus
GSM9937429
silver Interactive viewer H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9937429_Br9280_CeA_hires_image': DataArray[cyx] (3, 6000, 3551)
│ └── 'GSM9937429_Br9280_CeA_lowres_image': DataArray[cyx] (3, 600, 355)
├── Shapes
│ ├── 'GSM9937429_Br9280_CeA_square_002um': GeoDataFrame shape: (11222500, 1) (2D shapes)
│ ├── 'GSM9937429_Br9280_CeA_square_008um': GeoDataFrame shape: (702244, 1) (2D shapes)
│ └── 'GSM9937429_Br9280_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:
▸ 'GSM9937429_Br9280_CeA', with elements:
GSM9937429_Br9280_CeA_hires_image (Images), GSM9937429_Br9280_CeA_lowres_image (Images), GSM9937429_Br9280_CeA_square_002um (Shapes), GSM9937429_Br9280_CeA_square_008um (Shapes), GSM9937429_Br9280_CeA_square_008um_for_vitessce (Shapes)
▸ 'GSM9937429_Br9280_CeA_downscaled_hires', with elements:
GSM9937429_Br9280_CeA_hires_image (Images), GSM9937429_Br9280_CeA_square_002um (Shapes), GSM9937429_Br9280_CeA_square_008um (Shapes), GSM9937429_Br9280_CeA_square_008um_for_vitessce (Shapes)
▸ 'GSM9937429_Br9280_CeA_downscaled_lowres', with elements:
GSM9937429_Br9280_CeA_lowres_image (Images), GSM9937429_Br9280_CeA_square_002um (Shapes), GSM9937429_Br9280_CeA_square_008um (Shapes), GSM9937429_Br9280_CeA_square_008um_for_vitessce (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("iEXSoUmFnYq4ZL8r") # 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 Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/iEXSoUmFnYq4ZL8r
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid iEXSoUmFnYq4ZL8r Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["iEXSoUmFnYq4ZL8r0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- Visium HD
- Organism
- human
- Tissue
- central amygdaloid nucleus
- Modality
- RNA
- Observations
- 702,244
- Tier
- silver
- Resolution
- 3,551 × 6,000 px
- mpp
- 2.433 µm/px
- Size
- 1.6 GB
- Sample ID
- GSM9937429
- License
- unknown
- Published
- Aug 24, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB