10x Xenium
Mouse brain
GSM9730462
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 23879, 28457), (1, 11939, 14228), (1, 5969, 7114), (1, 2984, 3557), (1, 1492, 1778)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (23207, 27753), (11603, 13876), (5801, 6938), (2900, 3469), (1450, 1734)
│ └── 'nucleus_labels': DataTree[yx] (22875, 27723), (11437, 13861), (5718, 6930), (2859, 3465), (1429, 1732)
├── Points
│ └── 'transcripts': DataFrame with shape: (96611988, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (57883, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (57883, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (57808, 2) (2D shapes)
└── Tables
└── 'table': AnnData (57883, 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("mrS6sapMrDhnw0NG") # 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/mrS6sapMrDhnw0NG
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid mrS6sapMrDhnw0NG Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["mrS6sapMrDhnw0NG0000"])[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
- 57,883
- Transcripts
- 96,611,988
- Tier
- bronze
- Size
- 2.5 GB
- Sample ID
- GSM9730462
- 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