10x Xenium
Mouse spinal cord
GSM9687901
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 84937, 17131), (1, 42468, 8565), (1, 21234, 4282), (1, 10617, 2141), (1, 5308, 1070)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (84913, 14259), (42456, 7129), (21228, 3564), (10614, 1782), (5307, 891)
│ └── 'nucleus_labels': DataTree[yx] (84813, 14122), (42406, 7061), (21203, 3530), (10601, 1765), (5300, 882)
├── Points
│ └── 'transcripts': DataFrame with shape: (6865477, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (19578, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (19578, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (19578, 1) (2D shapes)
└── Tables
└── 'table': AnnData (19578, 300)
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("l2Cs34tXtB1fO7Ha") # 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/l2Cs34tXtB1fO7Ha
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid l2Cs34tXtB1fO7Ha Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["l2Cs34tXtB1fO7Ha0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- spinal cord
- Modality
- RNA
- Observations
- 19,578
- Transcripts
- 6,865,477
- Tier
- bronze
- Size
- 782 MB
- Sample ID
- GSM9687901
- License
- unknown
- Published
- Apr 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