10x Xenium
Mouse skin of body
GSM9636014
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 13741, 53907), (1, 6870, 26953), (1, 3435, 13476), (1, 1717, 6738), (1, 858, 3369)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (13455, 53907), (6727, 26953), (3363, 13476), (1681, 6738), (840, 3369)
│ └── 'nucleus_labels': DataTree[yx] (13391, 53888), (6695, 26944), (3347, 13472), (1673, 6736), (836, 3368)
├── Points
│ └── 'transcripts': DataFrame with shape: (6306875, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (45338, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (45338, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (45393, 2) (2D shapes)
└── Tables
└── 'table': AnnData (45338, 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("43suqALYhvg1Z06f") # 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/43suqALYhvg1Z06f
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 43suqALYhvg1Z06f Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["43suqALYhvg1Z06f0000"])[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
- Modality
- RNA
- Observations
- 45,338
- Transcripts
- 6,306,875
- Tier
- bronze
- Size
- 729 MB
- Sample ID
- GSM9636014
- License
- unknown
- Published
- Jun 25, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB