10x Xenium
Mouse brain
GSM9730464
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 23880, 31290), (1, 11940, 15645), (1, 5970, 7822), (1, 2985, 3911), (1, 1492, 1955)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (23198, 30221), (11599, 15110), (5799, 7555), (2899, 3777), (1449, 1888)
│ └── 'nucleus_labels': DataTree[yx] (22535, 30192), (11267, 15096), (5633, 7548), (2816, 3774), (1408, 1887)
├── Points
│ └── 'transcripts': DataFrame with shape: (139856641, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (72622, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (72622, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (72496, 2) (2D shapes)
└── Tables
└── 'table': AnnData (72622, 5006)
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("lobcA0rHER8t4RLc") # 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/lobcA0rHER8t4RLc
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid lobcA0rHER8t4RLc Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["lobcA0rHER8t4RLc0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- brain
- Modality
- RNA
- Observations
- 72,622
- Transcripts
- 139,856,641
- Tier
- bronze
- Size
- 3.6 GB
- Sample ID
- GSM9730464
- License
- unknown
- Published
- Aug 4, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB