Visium
Human lung
GSM8855714
silver Interactive viewer H&E non-small cell lung carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8855714_NSCLC_P12_full_image': DataTree[cyx] (3, 3000, 3000), (3, 1500, 1500), (3, 750, 750), (3, 375, 375), (3, 187, 187)
│ ├── 'GSM8855714_NSCLC_P12_hires_image': DataArray[cyx] (3, 1547, 2000)
│ └── 'GSM8855714_NSCLC_P12_lowres_image': DataArray[cyx] (3, 464, 600)
├── Shapes
│ └── 'GSM8855714_NSCLC_P12': GeoDataFrame shape: (2131, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2131, 18085)
with coordinate systems:
▸ 'GSM8855714_NSCLC_P12', with elements:
GSM8855714_NSCLC_P12_full_image (Images), GSM8855714_NSCLC_P12_hires_image (Images), GSM8855714_NSCLC_P12_lowres_image (Images), GSM8855714_NSCLC_P12 (Shapes)
▸ 'GSM8855714_NSCLC_P12_downscaled_hires', with elements:
GSM8855714_NSCLC_P12_hires_image (Images), GSM8855714_NSCLC_P12 (Shapes)
▸ 'GSM8855714_NSCLC_P12_downscaled_lowres', with elements:
GSM8855714_NSCLC_P12_lowres_image (Images), GSM8855714_NSCLC_P12 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("APcGmiPhAm2cyaYn") # 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/APcGmiPhAm2cyaYn
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid APcGmiPhAm2cyaYn Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["APcGmiPhAm2cyaYn0000"])[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
- lung
- Condition
- non-small cell lung carcinoma
- Modality
- RNA
- Observations
- 2,131
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,547 px
- mpp
- 7.020 µm/px
- Size
- 43 MB
- Sample ID
- GSM8855714
- 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