Visium
Human lung
NSCLC, Patient 15, Spatial Transcriptomics (Visium)
silver Interactive viewer H&E non-small cell lung carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8855717_NSCLC_P15_hires_image': DataArray[cyx] (3, 2000, 1284)
│ └── 'GSM8855717_NSCLC_P15_lowres_image': DataArray[cyx] (3, 600, 385)
├── Shapes
│ └── 'GSM8855717_NSCLC_P15': GeoDataFrame shape: (13002, 2) (2D shapes)
└── Tables
├── 'table': AnnData (13002, 18085)
└── 'table_protein': AnnData (13002, 35)
with coordinate systems:
▸ 'GSM8855717_NSCLC_P15', with elements:
GSM8855717_NSCLC_P15_hires_image (Images), GSM8855717_NSCLC_P15_lowres_image (Images), GSM8855717_NSCLC_P15 (Shapes)
▸ 'GSM8855717_NSCLC_P15_downscaled_hires', with elements:
GSM8855717_NSCLC_P15_hires_image (Images), GSM8855717_NSCLC_P15 (Shapes)
▸ 'GSM8855717_NSCLC_P15_downscaled_lowres', with elements:
GSM8855717_NSCLC_P15_lowres_image (Images), GSM8855717_NSCLC_P15 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("B1pHBGo66lQ15oil0001")
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("B1pHBGo66lQ15oil") # 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 B1pHBGo66lQ15oil0001 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/B1pHBGo66lQ15oil
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid B1pHBGo66lQ15oilLicense: NCBI GEO policy
Part of collection
Conserved principles of spatial biology define tumor heterogeneity and immunotherapy sensitivity→ 18 datasets · other
Metadata
- Technology
- Visium
- Vendor
- 10x Genomics
- Organism
- human
- Tissue
- lung
- Condition
- non-small cell lung carcinoma
- Modality
- RNA · protein
- Observations (spots)
- 13,002
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,284 × 2,000 px
- mpp
- 13.376 µm/px
- Size
- 178 MB
- Sample ID
- GSM8855717
- 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