10x Xenium
Human dorsolateral prefrontal cortex
GSM9471154
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 101855, 48327), (1, 50927, 24163), (1, 25463, 12081), (1, 12731, 6040), (1, 6365, 3020)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (100921, 46561), (50460, 23280), (25230, 11640), (12615, 5820), (6307, 2910)
│ └── 'nucleus_labels': DataTree[yx] (100801, 46440), (50400, 23220), (25200, 11610), (12600, 5805), (6300, 2902)
├── Points
│ └── 'transcripts': DataFrame with shape: (86750050, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (160995, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (160995, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (160995, 1) (2D shapes)
└── Tables
└── 'table': AnnData (160995, 266)
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("9cvZjvwTJIHXPkCs") # 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/9cvZjvwTJIHXPkCs
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 9cvZjvwTJIHXPkCs Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["9cvZjvwTJIHXPkCs0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- dorsolateral prefrontal cortex
- Modality
- RNA
- Observations
- 160,995
- Transcripts
- 86,750,050
- Tier
- silver
- Size
- 7.9 GB
- Sample ID
- GSM9471154
- License
- unknown
- Published
- Jan 30, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB