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Visium

Human lung

GSM8770959

silver Interactive viewer H&E sarcoidosis No linked publication
Human lung preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM8770959_SAR019_hires_image': DataArray[cyx] (3, 7647, 8192)
│     └── 'GSM8770959_SAR019_lowres_image': DataArray[cyx] (3, 560, 600)
├── Shapes
│     └── 'GSM8770959_SAR019': GeoDataFrame shape: (4991, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (4991, 37082)
with coordinate systems:
    ▸ 'GSM8770959_SAR019', with elements:
        GSM8770959_SAR019_hires_image (Images), GSM8770959_SAR019_lowres_image (Images), GSM8770959_SAR019 (Shapes)
    ▸ 'GSM8770959_SAR019_downscaled_hires', with elements:
        GSM8770959_SAR019_hires_image (Images), GSM8770959_SAR019 (Shapes)
    ▸ 'GSM8770959_SAR019_downscaled_lowres', with elements:
        GSM8770959_SAR019_lowres_image (Images), GSM8770959_SAR019 (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("DhN12rDPH1MGbDoL0000")
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("DhN12rDPH1MGbDoL")   # 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 DhN12rDPH1MGbDoL0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/DhN12rDPH1MGbDoL

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid DhN12rDPH1MGbDoL

License: NCBI GEO policy

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Metadata

Technology
Visium
Organism
human
Tissue
lung
Condition
sarcoidosis
Modality
RNA
Observations (spots)
4,991
Tier
silver
Chemistry
Visium v1
Resolution
8,192 × 7,647 px
mpp
3.804 µm/px
Size
85.3 MB
Sample ID
GSM8770959
License
NCBI GEO policy
Published
Mar 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