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10x Xenium

Human heart

GSM9295075

silver Interactive viewer heart failure No linked publication
Human heart preview
print(sdata)
SpatialData object
├── Images
│     └── 'morphology_mip': DataTree[cyx] (1, 17115, 17150), (1, 8557, 8575), (1, 4278, 4287), (1, 2139, 2143), (1, 1069, 1071)
├── Labels
│     └── 'cell_labels': DataTree[yx] (16849, 16845), (8424, 8422), (4212, 4211), (2106, 2105), (1053, 1052)
├── Points
│     └── 'transcripts': DataFrame with shape: (275539, 13) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (4941, 1) (2D shapes)
│     └── 'cell_circles': GeoDataFrame shape: (4941, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (4941, 300)
with coordinate systems:
    ▸ 'global', with elements:
        morphology_mip (Images), cell_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("MnIKg0ulOJ3rEH8n")   # 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/MnIKg0ulOJ3rEH8n

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid MnIKg0ulOJ3rEH8n
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["MnIKg0ulOJ3rEH8n0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

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Metadata

Technology
10x Xenium
Organism
human
Tissue
heart
Condition
heart failure
Modality
RNA
Observations
4,941
Transcripts
275,539
Tier
silver
Size
292 MB
Sample ID
GSM9295075
License
unknown
Published
Nov 24, 2025

Cite this dataset

No linked publication found — please cite the data source: NCBI GEO ↗.

Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB