10x Xenium
Leucoraja erinaceus trunk
GSM9901435
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 98551, 11747), (1, 49275, 5873), (1, 24637, 2936), (1, 12318, 1468), (1, 6159, 734)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (98411, 10902), (49205, 5451), (24602, 2725), (12301, 1362), (6150, 681)
│ └── 'nucleus_labels': DataTree[yx] (98395, 10891), (49197, 5445), (24598, 2722), (12299, 1361), (6149, 680)
├── Points
│ └── 'transcripts': DataFrame with shape: (33681139, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (171459, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (171459, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (171596, 2) (2D shapes)
└── Tables
└── 'table': AnnData (171459, 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("BVJVmhBVrFdc6fSJ") # 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/BVJVmhBVrFdc6fSJ
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid BVJVmhBVrFdc6fSJ Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["BVJVmhBVrFdc6fSJ0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- leucoraja erinaceus
- Tissue
- trunk
- Modality
- RNA
- Observations
- 171,459
- Transcripts
- 33,681,139
- Tier
- silver
- Size
- 1.8 GB
- Sample ID
- GSM9901435
- License
- unknown
- Published
- Jul 28, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB