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Visium HD

Human adrenal gland

GSM8890018

silver Interactive viewer H&E No linked publication
Visium HD
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_hires_image': DataArray[cyx] (3, 6000, 5417)
│     └── 'GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_lowres_image': DataArray[cyx] (3, 600, 542)
├── Shapes
│     ├── 'GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_square_016um': GeoDataFrame shape: (127893, 1) (2D shapes)
│     └── 'GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_square_016um_for_vitessce': GeoDataFrame shape: (127893, 2) (2D shapes)
└── Tables
      └── 'square_016um': AnnData (127893, 18085)
with coordinate systems:
    ▸ 'GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix', with elements:
        GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_hires_image (Images), GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_lowres_image (Images), GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_square_016um (Shapes), GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_square_016um_for_vitessce (Shapes)
    ▸ 'GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_downscaled_hires', with elements:
        GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_hires_image (Images), GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_square_016um (Shapes), GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_square_016um_for_vitessce (Shapes)
    ▸ 'GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_downscaled_lowres', with elements:
        GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_lowres_image (Images), GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_square_016um (Shapes), GSM8890018_adult_spatial_adult_spatial_filtered_feature_bc_matrix_square_016um_for_vitessce (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("Hv3BzDaNafAGKUNg0000")
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("Hv3BzDaNafAGKUNg")   # 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 Hv3BzDaNafAGKUNg0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/Hv3BzDaNafAGKUNg

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Hv3BzDaNafAGKUNg

License: NCBI GEO policy

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue
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Metadata

Technology
Visium HD
Vendor
10x Genomics
Organism
human
Tissue
adrenal gland
Modality
RNA
Observations (bins)
127,893
Tier
silver
Resolution
5,417 × 6,000 px
mpp
2.121 µm/px
Size
152 MB
Sample ID
GSM8890018
License
NCBI GEO policy
Published
Mar 12, 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