10x Xenium
Human skin of body
GSM9451445
silver Interactive viewer melanoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 10673, 54025), (1, 5336, 27012), (1, 2668, 13506), (1, 1334, 6753), (1, 667, 3376)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (10510, 53285), (5255, 26642), (2627, 13321), (1313, 6660), (656, 3330)
│ └── 'nucleus_labels': DataTree[yx] (10504, 52669), (5252, 26334), (2626, 13167), (1313, 6583), (656, 3291)
├── Points
│ └── 'transcripts': DataFrame with shape: (38207900, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (86282, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (86282, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (88946, 2) (2D shapes)
└── Tables
└── 'table': AnnData (86282, 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("wu2hTkZzsbKLu57c") # 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/wu2hTkZzsbKLu57c
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid wu2hTkZzsbKLu57c Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["wu2hTkZzsbKLu57c0000"])[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
- 86,282
- Transcripts
- 38,207,900
- Tier
- silver
- Size
- 1.5 GB
- Sample ID
- GSM9451445
- 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