10x Xenium
Mouse lumbar spinal cord
GSM9986814
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 54463, 17221), (1, 27231, 8610), (1, 13615, 4305), (1, 6807, 2152), (1, 3403, 1076)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (54365, 17153), (27182, 8576), (13591, 4288), (6795, 2144), (3397, 1072)
│ └── 'nucleus_labels': DataTree[yx] (53456, 16886), (26728, 8443), (13364, 4221), (6682, 2110), (3341, 1055)
├── Points
│ └── 'transcripts': DataFrame with shape: (12773039, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (24778, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (24778, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (24281, 2) (2D shapes)
└── Tables
└── 'table': AnnData (24778, 296)
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("QU2bmzT2n4Miyaq1") # 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/QU2bmzT2n4Miyaq1
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid QU2bmzT2n4Miyaq1 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["QU2bmzT2n4Miyaq10000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- lumbar spinal cord
- Modality
- RNA
- Observations
- 24,778
- Transcripts
- 12,773,039
- Tier
- silver
- Size
- 1.0 GB
- Sample ID
- GSM9986814
- License
- unknown
- Published
- Sep 28, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB