10x Xenium
Human urinary bladder
GSM10012265
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataArray[cyx] (1, 47654, 28472)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (46185, 28133), (23092, 14066), (11546, 7033), (5773, 3516), (2886, 1758)
│ └── 'nucleus_labels': DataTree[yx] (46179, 28087), (23089, 14043), (11544, 7021), (5772, 3510), (2886, 1755)
├── Points
│ └── 'transcripts': DataFrame with shape: (5061905, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (89585, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (89585, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (89997, 2) (2D shapes)
└── Tables
└── 'table': AnnData (89585, 480)
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("pjSqvrGiQCvYQB8Y") # 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/pjSqvrGiQCvYQB8Y
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid pjSqvrGiQCvYQB8Y Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["pjSqvrGiQCvYQB8Y0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- urinary bladder
- Modality
- RNA
- Observations
- 89,585
- Transcripts
- 5,061,905
- Tier
- silver
- Size
- 1.2 GB
- Sample ID
- GSM10012265
- License
- NCBI GEO policy
- Published
- Sep 7, 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