10x Xenium
Mouse heart left ventricle
GSM9460463
bronze Interactive viewer heart disorder Provisional
print(sdata)
SpatialData object
├── Labels
│ ├── 'cell_labels': DataTree[yx] (20408, 19792), (10204, 9896), (5102, 4948), (2551, 2474), (1275, 1237)
│ └── 'nucleus_labels': DataTree[yx] (16059, 18483), (8029, 9241), (4014, 4620), (2007, 2310), (1003, 1155)
├── Points
│ └── 'transcripts': DataFrame with shape: (20628671, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (61426, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (61437, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (29033, 2) (2D shapes)
└── Tables
└── 'table': AnnData (61437, 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("v9Yp12G9j18zijTZ") # 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/v9Yp12G9j18zijTZ
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid v9Yp12G9j18zijTZ Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["v9Yp12G9j18zijTZ0000"])[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
- 61,437
- Transcripts
- 20,628,671
- Tier
- bronze
- Size
- 420 MB
- Sample ID
- GSM9460463
- 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