10x Xenium
Human skin of body
GSM9451455
silver Interactive viewer melanoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 13719, 8626), (1, 6859, 4313), (1, 3429, 2156), (1, 1714, 1078), (1, 857, 539)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (11718, 8484), (5859, 4242), (2929, 2121), (1464, 1060), (732, 530)
│ └── 'nucleus_labels': DataTree[yx] (11164, 7413), (5582, 3706), (2791, 1853), (1395, 926), (697, 463)
├── Points
│ └── 'transcripts': DataFrame with shape: (14508385, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (17548, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (17548, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (17778, 2) (2D shapes)
└── Tables
└── 'table': AnnData (17548, 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("2DrML2fUqgcYXyFn") # 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/2DrML2fUqgcYXyFn
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 2DrML2fUqgcYXyFn Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["2DrML2fUqgcYXyFn0000"])[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
- 17,548
- Transcripts
- 14,508,385
- Tier
- silver
- Size
- 416 MB
- Sample ID
- GSM9451455
- 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