10x Xenium
Human lung
GSM10045634
silver Interactive viewer large cell neuroendocrine carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 30811, 51212), (1, 15405, 25606), (1, 7702, 12803), (1, 3851, 6401), (1, 1925, 3200)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (30734, 51137), (15367, 25568), (7683, 12784), (3841, 6392), (1920, 3196)
│ └── 'nucleus_labels': DataTree[yx] (30701, 50237), (15350, 25118), (7675, 12559), (3837, 6279), (1918, 3139)
├── Points
│ └── 'transcripts': DataFrame with shape: (318908073, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (355846, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (355846, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (349977, 2) (2D shapes)
└── Tables
└── 'table': AnnData (355846, 5001)
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("w28dHAmye37e87JR0000")
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("w28dHAmye37e87JR") # 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 w28dHAmye37e87JR0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/w28dHAmye37e87JR
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid w28dHAmye37e87JRLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- lung
- Condition
- large cell neuroendocrine carcinoma
- Modality
- RNA
- Observations (cells)
- 355,846
- Transcripts
- 318,908,073
- Tier
- silver
- Size
- 9.7 GB
- Sample ID
- GSM10045634
- License
- NCBI GEO policy
- Published
- Sep 29, 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