10x Xenium
Human bone marrow
GSM9824317
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Labels
│ ├── 'cell_labels': DataTree[yx] (37057, 36654), (18528, 18327), (9264, 9163), (4632, 4581), (2316, 2290)
│ └── 'nucleus_labels': DataTree[yx] (36336, 35228), (18168, 17614), (9084, 8807), (4542, 4403), (2271, 2201)
├── Points
│ └── 'transcripts': DataFrame with shape: (3407953, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (69901, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (69901, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (70214, 2) (2D shapes)
└── Tables
└── 'table': AnnData (69901, 5101)
with coordinate systems:
▸ 'global', with elements:
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("BFuUqohX4IlmTipa") # 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/BFuUqohX4IlmTipa
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid BFuUqohX4IlmTipa Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["BFuUqohX4IlmTipa0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- bone marrow
- Modality
- RNA
- Observations
- 69,901
- Transcripts
- 3,407,953
- Tier
- silver
- Size
- 144 MB
- Sample ID
- GSM9824317
- License
- unknown
- Published
- Aug 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