10x Xenium
Human skin of body
GSM9451442
silver Interactive viewer melanoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17240, 54071), (1, 8620, 27035), (1, 4310, 13517), (1, 2155, 6758), (1, 1077, 3379)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (17115, 53966), (8557, 26983), (4278, 13491), (2139, 6745), (1069, 3372)
│ └── 'nucleus_labels': DataTree[yx] (17088, 53959), (8544, 26979), (4272, 13489), (2136, 6744), (1068, 3372)
├── Points
│ └── 'transcripts': DataFrame with shape: (82336878, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (136728, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (136728, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (136744, 2) (2D shapes)
└── Tables
└── 'table': AnnData (136728, 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("cTACJdXquDt5HGuz") # 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/cTACJdXquDt5HGuz
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid cTACJdXquDt5HGuz Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["cTACJdXquDt5HGuz0000"])[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
- 136,728
- Transcripts
- 82,336,878
- Tier
- silver
- Size
- 2.7 GB
- Sample ID
- GSM9451442
- 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