10x Xenium
Human vestibulocochlear nerve
GSM10013110
silver Interactive viewer acoustic neuroma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 27369, 28507), (1, 13684, 14253), (1, 6842, 7126), (1, 3421, 3563), (1, 1710, 1781)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (27015, 26021), (13507, 13010), (6753, 6505), (3376, 3252), (1688, 1626)
│ └── 'nucleus_labels': DataTree[yx] (25874, 25914), (12937, 12957), (6468, 6478), (3234, 3239), (1617, 1619)
├── Points
│ └── 'transcripts': DataFrame with shape: (21036303, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (81967, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (81967, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (81892, 2) (2D shapes)
└── Tables
└── 'table': AnnData (81967, 300)
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("UgpfwsP7dlGFPX8R") # 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/UgpfwsP7dlGFPX8R
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid UgpfwsP7dlGFPX8R Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["UgpfwsP7dlGFPX8R0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- vestibulocochlear nerve
- Condition
- acoustic neuroma
- Modality
- RNA
- Observations
- 81,967
- Transcripts
- 21,036,303
- Tier
- silver
- Size
- 1.2 GB
- Sample ID
- GSM10013110
- License
- unknown
- Published
- Sep 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