10x Xenium
Human skin of body
GSM9636817
bronze Interactive viewer cutaneous neuroendocrine carcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 20503, 22786), (1, 10251, 11393), (1, 5125, 5696), (1, 2562, 2848), (1, 1281, 1424)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (16899, 21710), (8449, 10855), (4224, 5427), (2112, 2713), (1056, 1356)
│ └── 'nucleus_labels': DataTree[yx] (16853, 21665), (8426, 10832), (4213, 5416), (2106, 2708), (1053, 1354)
├── Points
│ └── 'transcripts': DataFrame with shape: (2582553, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (51539, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (51539, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (51539, 2) (2D shapes)
└── Tables
└── 'table': AnnData (51539, 480)
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("26Fo6iDsILpxQ0MX") # 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/26Fo6iDsILpxQ0MX
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 26Fo6iDsILpxQ0MX Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["26Fo6iDsILpxQ0MX0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Reprogramming engineered autologous T cells to overcome resistance in patients with Merkel cell carcinoma [Xenium]→ 6 datasets · time course
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- skin of body
- Condition
- cutaneous neuroendocrine carcinoma
- Modality
- RNA
- Observations
- 51,539
- Transcripts
- 2,582,553
- Tier
- bronze
- Size
- 537 MB
- Sample ID
- GSM9636817
- License
- unknown
- Published
- May 1, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB