10x Xenium
Human skin of body
GSM9451448
silver Interactive viewer melanoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17139, 54014), (1, 8569, 27007), (1, 4284, 13503), (1, 2142, 6751), (1, 1071, 3375)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (17127, 53903), (8563, 26951), (4281, 13475), (2140, 6737), (1070, 3368)
│ └── 'nucleus_labels': DataTree[yx] (17094, 53836), (8547, 26918), (4273, 13459), (2136, 6729), (1068, 3364)
├── Points
│ └── 'transcripts': DataFrame with shape: (61153631, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (101400, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (101400, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (101750, 2) (2D shapes)
└── Tables
└── 'table': AnnData (101400, 5001)
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("bk3rVhQIJtUrwdTc") # 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/bk3rVhQIJtUrwdTc
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid bk3rVhQIJtUrwdTc Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["bk3rVhQIJtUrwdTc0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- skin of body
- Condition
- melanoma
- Modality
- RNA
- Observations
- 101,400
- Transcripts
- 61,153,631
- Tier
- silver
- Size
- 2.1 GB
- Sample ID
- GSM9451448
- License
- unknown
- Published
- Sep 8, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB