10x Xenium
Human dorsolateral prefrontal cortex
GSM9471155
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 105303, 48345), (1, 52651, 24172), (1, 26325, 12086), (1, 13162, 6043), (1, 6581, 3021)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (98574, 46324), (49287, 23162), (24643, 11581), (12321, 5790), (6160, 2895)
│ └── 'nucleus_labels': DataTree[yx] (98434, 46184), (49217, 23092), (24608, 11546), (12304, 5773), (6152, 2886)
├── Points
│ └── 'transcripts': DataFrame with shape: (73095595, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (157073, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (157073, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (157073, 1) (2D shapes)
└── Tables
└── 'table': AnnData (157073, 266)
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("Y6TCGpcUcQI4IcQn") # 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/Y6TCGpcUcQI4IcQn
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Y6TCGpcUcQI4IcQn Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["Y6TCGpcUcQI4IcQn0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- dorsolateral prefrontal cortex
- Modality
- RNA
- Observations
- 157,073
- Transcripts
- 73,095,595
- Tier
- silver
- Size
- 7.1 GB
- Sample ID
- GSM9471155
- License
- unknown
- Published
- Jan 30, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB