10x Xenium
Human skin of body
GSM9079616
silver Interactive viewer acne No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 10475, 14347), (1, 5237, 7173), (1, 2618, 3586), (1, 1309, 1793), (1, 654, 896)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (10126, 12310), (5063, 6155), (2531, 3077), (1265, 1538), (632, 769)
│ └── 'nucleus_labels': DataTree[yx] (9986, 12171), (4993, 6085), (2496, 3042), (1248, 1521), (624, 760)
├── Points
│ └── 'transcripts': DataFrame with shape: (464016, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (11195, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (11195, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (11195, 1) (2D shapes)
└── Tables
└── 'table': AnnData (11195, 100)
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("eApEdW8CROyfkZdg") # 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/eApEdW8CROyfkZdg
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid eApEdW8CROyfkZdg Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["eApEdW8CROyfkZdg0000"])[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
- acne
- Modality
- RNA
- Observations
- 11,195
- Transcripts
- 464,016
- Tier
- silver
- Size
- 186 MB
- Sample ID
- GSM9079616
- License
- unknown
- Published
- Dec 3, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB