10x Xenium
Human larynx
GSM9949643
silver Interactive viewer laryngeal squamous cell carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17191, 51126), (1, 8595, 25563), (1, 4297, 12781), (1, 2148, 6390), (1, 1074, 3195)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (16962, 51079), (8481, 25539), (4240, 12769), (2120, 6384), (1060, 3192)
│ └── 'nucleus_labels': DataTree[yx] (16071, 49446), (8035, 24723), (4017, 12361), (2008, 6180), (1004, 3090)
├── Points
│ └── 'transcripts': DataFrame with shape: (11727882, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (77787, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (77787, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (73989, 2) (2D shapes)
└── Tables
└── 'table': AnnData (77787, 377)
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) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("tnHj0pSb4Pgkf0Ja") # 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/tnHj0pSb4Pgkf0Ja
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid tnHj0pSb4Pgkf0Ja Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["tnHj0pSb4Pgkf0Ja0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- larynx
- Condition
- laryngeal squamous cell carcinoma
- Modality
- RNA
- Observations
- 77,787
- Transcripts
- 11,727,882
- Tier
- silver
- Size
- 1.2 GB
- Sample ID
- GSM9949643
- License
- unknown
- Published
- Aug 16, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB