10x Xenium
Mouse hypothalamus
GSM9494075
silver Interactive viewer autism spectrum disorder No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 27339, 45569), (1, 13669, 22784), (1, 6834, 11392), (1, 3417, 5696), (1, 1708, 2848)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (26294, 45305), (13147, 22652), (6573, 11326), (3286, 5663), (1643, 2831)
│ └── 'nucleus_labels': DataTree[yx] (26260, 45070), (13130, 22535), (6565, 11267), (3282, 5633), (1641, 2816)
├── Points
│ └── 'transcripts': DataFrame with shape: (116027093, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (63216, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (63216, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (63084, 2) (2D shapes)
└── Tables
└── 'table': AnnData (63216, 5056)
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("6hP6rG26w4wxcjbF") # 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/6hP6rG26w4wxcjbF
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 6hP6rG26w4wxcjbF Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["6hP6rG26w4wxcjbF0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open Metadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- hypothalamus
- Condition
- autism spectrum disorder
- Modality
- RNA
- Observations
- 63,216
- Transcripts
- 116,027,093
- Tier
- silver
- Size
- 3.1 GB
- Sample ID
- GSM9494075
- License
- unknown
- Published
- Mar 2, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB