10x Xenium
Mouse skin of body
GSM9524129
silver Interactive viewer melanoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 13759, 42629), (1, 6879, 21314), (1, 3439, 10657), (1, 1719, 5328), (1, 859, 2664)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (13541, 42214), (6770, 21107), (3385, 10553), (1692, 5276), (846, 2638)
│ └── 'nucleus_labels': DataTree[yx] (13276, 41415), (6638, 20707), (3319, 10353), (1659, 5176), (829, 2588)
├── Points
│ └── 'transcripts': DataFrame with shape: (43662736, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (138401, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (138401, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (138322, 2) (2D shapes)
└── Tables
└── 'table': AnnData (138401, 407)
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("pcmm9pyJMYhQ9niV") # 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/pcmm9pyJMYhQ9niV
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid pcmm9pyJMYhQ9niV Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["pcmm9pyJMYhQ9niV0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- skin of body
- Condition
- melanoma
- Modality
- RNA
- Observations
- 138,401
- Transcripts
- 43,662,736
- Tier
- silver
- Size
- 1.4 GB
- Sample ID
- GSM9524129
- License
- unknown
- Published
- Sep 18, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB