10x Xenium
Human spleen
GSM9638044
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 30671, 28471), (1, 15335, 14235), (1, 7667, 7117), (1, 3833, 3558), (1, 1916, 1779)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (30523, 28421), (15261, 14210), (7630, 7105), (3815, 3552), (1907, 1776)
│ └── 'nucleus_labels': DataTree[yx] (30498, 28375), (15249, 14187), (7624, 7093), (3812, 3546), (1906, 1773)
├── Points
│ └── 'transcripts': DataFrame with shape: (21088882, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (366199, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (366199, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (373415, 2) (2D shapes)
└── Tables
└── 'table': AnnData (366199, 5093)
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("Uu0F2p1jzrvaCchF") # 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/Uu0F2p1jzrvaCchF
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Uu0F2p1jzrvaCchF Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["Uu0F2p1jzrvaCchF0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- spleen
- Modality
- RNA
- Observations
- 366,199
- Transcripts
- 21,088,882
- Tier
- silver
- Size
- 2.1 GB
- Sample ID
- GSM9638044
- License
- unknown
- Published
- Apr 30, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB