10x Xenium
Crab-eating macaque mediastinal lymph node
GSM10039417
silver Interactive viewer COVID-19 No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 88373, 54031), (1, 44186, 27015), (1, 22093, 13507), (1, 11046, 6753), (1, 5523, 3376)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (87894, 53151), (43947, 26575), (21973, 13287), (10986, 6643), (5493, 3321)
│ └── 'nucleus_labels': DataTree[yx] (87754, 53011), (43877, 26505), (21938, 13252), (10969, 6626), (5484, 3313)
├── Points
│ └── 'transcripts': DataFrame with shape: (83617336, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (2155761, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (2155761, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (2155761, 1) (2D shapes)
└── Tables
└── 'table': AnnData (2155761, 377)
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("E5SFuE4zHq8XNg2B") # 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/E5SFuE4zHq8XNg2B
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid E5SFuE4zHq8XNg2B Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["E5SFuE4zHq8XNg2B0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- crab-eating macaque
- Tissue
- mediastinal lymph node
- Condition
- COVID-19
- Modality
- RNA
- Observations
- 2,155,761
- Transcripts
- 83,617,336
- Tier
- silver
- Size
- 9.0 GB
- Sample ID
- GSM10039417
- License
- unknown
- Published
- Sep 13, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB