10x Xenium
Mouse brain
GSM9730463
bronze Interactive viewer tauopathy Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 23877, 28453), (1, 11938, 14226), (1, 5969, 7113), (1, 2984, 3556), (1, 1492, 1778)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (23113, 25982), (11556, 12991), (5778, 6495), (2889, 3247), (1444, 1623)
│ └── 'nucleus_labels': DataTree[yx] (23067, 25955), (11533, 12977), (5766, 6488), (2883, 3244), (1441, 1622)
├── Points
│ └── 'transcripts': DataFrame with shape: (88955338, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (63003, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (63003, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (62923, 2) (2D shapes)
└── Tables
└── 'table': AnnData (63003, 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("cMzNuXTyn1SVgJrF") # 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/cMzNuXTyn1SVgJrF
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid cMzNuXTyn1SVgJrF Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["cMzNuXTyn1SVgJrF0000"])[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
- 63,003
- Transcripts
- 88,955,338
- Tier
- bronze
- Size
- 2.4 GB
- Sample ID
- GSM9730463
- 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