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10x Xenium

Human kidney

GSM9210730

bronze Interactive viewer anti-neutrophil cytoplasmic antibody-associated vasculitis Provisional
Human kidney preview
print(sdata)
SpatialData object
├── Images
│     └── 'morphology_mip': DataTree[cyx] (1, 20523, 17145), (1, 10261, 8572), (1, 5130, 4286), (1, 2565, 2143), (1, 1282, 1071)
├── Labels
│     ├── 'cell_labels': DataTree[yx] (20407, 16993), (10203, 8496), (5101, 4248), (2550, 2124), (1275, 1062)
│     └── 'nucleus_labels': DataTree[yx] (19950, 16173), (9975, 8086), (4987, 4043), (2493, 2021), (1246, 1010)
├── Points
│     └── 'transcripts': DataFrame with shape: (8291094, 11) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (50960, 1) (2D shapes)
│     ├── 'cell_circles': GeoDataFrame shape: (50960, 2) (2D shapes)
│     └── 'nucleus_boundaries': GeoDataFrame shape: (50834, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (50960, 480)
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("lFz1u71Xumd6Ktui")   # 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/lFz1u71Xumd6Ktui

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid lFz1u71Xumd6Ktui
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["lFz1u71Xumd6Ktui0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

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Metadata

Technology
10x Xenium
Organism
human
Tissue
kidney
Condition
anti-neutrophil cytoplasmic antibody-associated vasculitis
Modality
RNA
Observations
50,960
Transcripts
8,291,094
Tier
bronze
Size
772 MB
Sample ID
GSM9210730
License
unknown
Published
May 5, 2026

Cite this dataset

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

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