10x Xenium
Human spleen
GSM9638042
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 27275, 19971), (1, 13637, 9985), (1, 6818, 4992), (1, 3409, 2496), (1, 1704, 1248)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (27254, 19296), (13627, 9648), (6813, 4824), (3406, 2412), (1703, 1206)
│ └── 'nucleus_labels': DataTree[yx] (27215, 19248), (13607, 9624), (6803, 4812), (3401, 2406), (1700, 1203)
├── Points
│ └── 'transcripts': DataFrame with shape: (21277179, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (220435, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (220435, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (224602, 2) (2D shapes)
└── Tables
└── 'table': AnnData (220435, 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("wc7249d4rRqkN2PP") # 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/wc7249d4rRqkN2PP
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid wc7249d4rRqkN2PP Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["wc7249d4rRqkN2PP0000"])[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
- 220,435
- Transcripts
- 21,277,179
- Tier
- silver
- Size
- 1.5 GB
- Sample ID
- GSM9638042
- 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