Visium

Human brain

GSM8855712

silver Interactive viewer H&E non-small cell lung carcinoma No linked publication

Preview Client Lamin CLI

print(sdata)

SpatialData object
├── Images
│     ├── 'GSM8855712_NSCLC_P10_full_image': DataTree[cyx] (3, 3000, 3000), (3, 1500, 1500), (3, 750, 750), (3, 375, 375), (3, 187, 187)
│     ├── 'GSM8855712_NSCLC_P10_hires_image': DataArray[cyx] (3, 2000, 1147)
│     └── 'GSM8855712_NSCLC_P10_lowres_image': DataArray[cyx] (3, 600, 344)
├── Shapes
│     └── 'GSM8855712_NSCLC_P10': GeoDataFrame shape: (8862, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (8862, 18085)
with coordinate systems:
    ▸ 'GSM8855712_NSCLC_P10', with elements:
        GSM8855712_NSCLC_P10_full_image (Images), GSM8855712_NSCLC_P10_hires_image (Images), GSM8855712_NSCLC_P10_lowres_image (Images), GSM8855712_NSCLC_P10 (Shapes)
    ▸ 'GSM8855712_NSCLC_P10_downscaled_hires', with elements:
        GSM8855712_NSCLC_P10_hires_image (Images), GSM8855712_NSCLC_P10 (Shapes)
    ▸ 'GSM8855712_NSCLC_P10_downscaled_lowres', with elements:
        GSM8855712_NSCLC_P10_lowres_image (Images), GSM8855712_NSCLC_P10 (Shapes)

Install (Python 3.12+) Docs →

Python · sddb client

from sddb import Catalog

ds = Catalog().dataset("tW3C6LyKs5Djh0WV0000")
ds.elements()          # inspect without downloading
sdata = ds.to_sdata()  # cached locally, reused
print(sdata)

Install (Python 3.12+) Docs →

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("tW3C6LyKs5Djh0WV")   # 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

Install (Python 3.12+) Docs →

Shell

# sddb client: download the .zarr into data/
sddb-cli download tW3C6LyKs5Djh0WV0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/tW3C6LyKs5Djh0WV

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid tW3C6LyKs5Djh0WV

Install (Python 3.12+) Docs →

License: NCBI GEO policy

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Part of collection

Conserved principles of spatial biology define tumor heterogeneity and immunotherapy sensitivity→

18 datasets · time course

Metadata

Technology: Visium
Organism: human
Tissue: brain
Condition: non-small cell lung carcinoma
Modality: RNA
Observations (spots): 8,862
Tier: silver
Chemistry: Visium v1
Resolution: 1,147 × 2,000 px
mpp: 17.627 µm/px
Size: 187 MB
Sample ID: GSM8855712
License: NCBI GEO policy
Published: Jun 9, 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