10x Xenium
Mouse brain
GSM9730465
bronze Interactive viewer tauopathy Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 27266, 31291), (1, 13633, 15645), (1, 6816, 7822), (1, 3408, 3911), (1, 1704, 1955)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (25580, 30745), (12790, 15372), (6395, 7686), (3197, 3843), (1598, 1921)
│ └── 'nucleus_labels': DataTree[yx] (25500, 30695), (12750, 15347), (6375, 7673), (3187, 3836), (1593, 1918)
├── Points
│ └── 'transcripts': DataFrame with shape: (137728196, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (69038, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (69038, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (68896, 2) (2D shapes)
└── Tables
└── 'table': AnnData (69038, 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("vdW1X5m8exwysJOR") # 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/vdW1X5m8exwysJOR
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid vdW1X5m8exwysJOR Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["vdW1X5m8exwysJOR0000"])[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
- Condition
- tauopathy
- Modality
- RNA
- Observations
- 69,038
- Transcripts
- 137,728,196
- Tier
- bronze
- Size
- 3.5 GB
- Sample ID
- GSM9730465
- 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