10x Xenium
Mouse skin of body
GSM9712818
silver Interactive viewer basal cell carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 20459, 53936), (1, 10229, 26968), (1, 5114, 13484), (1, 2557, 6742), (1, 1278, 3371)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (20434, 53935), (10217, 26967), (5108, 13483), (2554, 6741), (1277, 3370)
│ └── 'nucleus_labels': DataTree[yx] (20389, 53915), (10194, 26957), (5097, 13478), (2548, 6739), (1274, 3369)
├── Points
│ └── 'transcripts': DataFrame with shape: (107367624, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (103216, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (103216, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (104499, 2) (2D shapes)
└── Tables
└── 'table': AnnData (103216, 5106)
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("QGyvqTYWhdwvfJZh") # 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/QGyvqTYWhdwvfJZh
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid QGyvqTYWhdwvfJZh Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["QGyvqTYWhdwvfJZh0000"])[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
- basal cell carcinoma
- Modality
- RNA
- Observations
- 103,216
- Transcripts
- 107,367,624
- Tier
- silver
- Size
- 3.0 GB
- Sample ID
- GSM9712818
- License
- unknown
- Published
- Sep 12, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB