10x Xenium
Human bone marrow
GSM9444347
silver Interactive viewer plasma cell myeloma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 20536, 31309), (1, 10268, 15654), (1, 5134, 7827), (1, 2567, 3913), (1, 1283, 1956)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (20533, 31112), (10266, 15556), (5133, 7778), (2566, 3889), (1283, 1944)
│ └── 'nucleus_labels': DataTree[yx] (20493, 31087), (10246, 15543), (5123, 7771), (2561, 3885), (1280, 1942)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (63989, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (63989, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (64723, 2) (2D shapes)
└── Tables
└── 'table': AnnData (63989, 477)
with coordinate systems:
▸ 'global', with elements:
morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), 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("PDQTq57cocaVhV2v") # 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/PDQTq57cocaVhV2v
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid PDQTq57cocaVhV2v Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["PDQTq57cocaVhV2v0000"])[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
- Condition
- plasma cell myeloma
- Modality
- RNA
- Observations
- 63,989
- Tier
- silver
- Size
- 759 MB
- Sample ID
- GSM9444347
- License
- unknown
- Published
- Oct 3, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB