10x Xenium
Mouse heart left ventricle
GSM9460462
bronze Interactive viewer heart disorder Provisional
print(sdata)
SpatialData object
├── Labels
│ ├── 'cell_labels': DataTree[yx] (20285, 19773), (10142, 9886), (5071, 4943), (2535, 2471), (1267, 1235)
│ └── 'nucleus_labels': DataTree[yx] (17495, 17821), (8747, 8910), (4373, 4455), (2186, 2227), (1093, 1113)
├── Points
│ └── 'transcripts': DataFrame with shape: (18119738, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (46213, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (46213, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (22862, 2) (2D shapes)
└── Tables
└── 'table': AnnData (46213, 475)
with coordinate systems:
▸ 'global', with elements:
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("xWKj2zsJJaRMLz6P") # 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/xWKj2zsJJaRMLz6P
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid xWKj2zsJJaRMLz6P Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["xWKj2zsJJaRMLz6P0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatiotemporal dynamics of the cardioimmune niche during lesion repair [spatial]→ 7 datasets · comparison
Metadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- heart left ventricle
- Condition
- heart disorder
- Modality
- RNA
- Observations
- 46,213
- Transcripts
- 18,119,738
- Tier
- bronze
- Size
- 365 MB
- Sample ID
- GSM9460462
- License
- unknown
- Published
- Sep 22, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB