Visium
Human brain
GSM8855712
silver Interactive viewer H&E non-small cell lung carcinoma No linked publication
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) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("tW3C6LyKs5Djh0WV") # 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/tW3C6LyKs5Djh0WV
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid tW3C6LyKs5Djh0WV Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["tW3C6LyKs5Djh0WV0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart 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
- 8,862
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,147 × 2,000 px
- mpp
- 17.627 µm/px
- Size
- 179 MB
- Sample ID
- GSM8855712
- License
- unknown
- Published
- Jun 9, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB