10x Xenium
Mouse hypothalamus
GSM9494074
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 44314, 48338), (1, 22157, 24169), (1, 11078, 12084), (1, 5539, 6042), (1, 2769, 3021)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (44175, 47845), (22087, 23922), (11043, 11961), (5521, 5980), (2760, 2990)
│ └── 'nucleus_labels': DataTree[yx] (44156, 46973), (22078, 23486), (11039, 11743), (5519, 5871), (2759, 2935)
├── Points
│ └── 'transcripts': DataFrame with shape: (144754014, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (75528, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (75528, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (75332, 2) (2D shapes)
└── Tables
└── 'table': AnnData (75528, 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("Ll1yLlPnFK8KkayG") # 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/Ll1yLlPnFK8KkayG
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Ll1yLlPnFK8KkayG Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["Ll1yLlPnFK8KkayG0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- hypothalamus
- Modality
- RNA
- Observations
- 75,528
- Transcripts
- 144,754,014
- Tier
- silver
- Size
- 4.0 GB
- Sample ID
- GSM9494074
- 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