10x Xenium
Human skin of body
GSM9451441
silver Interactive viewer melanoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 13745, 25680), (1, 6872, 12840), (1, 3436, 6420), (1, 1718, 3210), (1, 859, 1605)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (12129, 25657), (6064, 12828), (3032, 6414), (1516, 3207), (758, 1603)
│ └── 'nucleus_labels': DataTree[yx] (11893, 25486), (5946, 12743), (2973, 6371), (1486, 3185), (743, 1592)
├── Points
│ └── 'transcripts': DataFrame with shape: (14528404, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (19297, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (19297, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (19114, 2) (2D shapes)
└── Tables
└── 'table': AnnData (19297, 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("HGLfHr3UQARyvI0F") # 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/HGLfHr3UQARyvI0F
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid HGLfHr3UQARyvI0F Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["HGLfHr3UQARyvI0F0000"])[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
- 19,297
- Transcripts
- 14,528,404
- Tier
- silver
- Size
- 592 MB
- Sample ID
- GSM9451441
- 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