10x Xenium
Human lung
GSM9535604
bronze Interactive viewer non-small cell lung carcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 30847, 39926), (1, 15423, 19963), (1, 7711, 9981), (1, 3855, 4990), (1, 1927, 2495)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (30755, 39438), (15377, 19719), (7688, 9859), (3844, 4929), (1922, 2464)
│ └── 'nucleus_labels': DataTree[yx] (30731, 39082), (15365, 19541), (7682, 9770), (3841, 4885), (1920, 2442)
├── Points
│ └── 'transcripts': DataFrame with shape: (44628553, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (273523, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (273523, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (272664, 2) (2D shapes)
└── Tables
└── 'table': AnnData (273523, 380)
with coordinate systems:
▸ 'global', with elements:
morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("t0s2xlrQ6csETvQS0000")
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("t0s2xlrQ6csETvQS") # 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 t0s2xlrQ6csETvQS0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/t0s2xlrQ6csETvQS
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid t0s2xlrQ6csETvQSLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- lung
- Condition
- non-small cell lung carcinoma
- Modality
- RNA
- Observations (cells)
- 273,523
- Transcripts
- 44,628,553
- Tier
- bronze
- Size
- 3.6 GB
- Sample ID
- GSM9535604
- License
- NCBI GEO policy
- Published
- Feb 26, 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