10x Xenium
Human placenta
GSM9734766
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 34296, 51221), (1, 17148, 25610), (1, 8574, 12805), (1, 4287, 6402), (1, 2143, 3201)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (31054, 49873), (15527, 24936), (7763, 12468), (3881, 6234), (1940, 3117)
│ └── 'nucleus_labels': DataTree[yx] (31008, 49828), (15504, 24914), (7752, 12457), (3876, 6228), (1938, 3114)
├── Points
│ └── 'transcripts': DataFrame with shape: (118974169, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (357577, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (357577, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (357577, 2) (2D shapes)
└── Tables
└── 'table': AnnData (357577, 477)
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("ei6fcTPZ4vJenmYv") # 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/ei6fcTPZ4vJenmYv
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid ei6fcTPZ4vJenmYv Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["ei6fcTPZ4vJenmYv0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- placenta
- Modality
- RNA
- Observations
- 357,577
- Transcripts
- 118,974,169
- Tier
- bronze
- Size
- 6.5 GB
- Sample ID
- GSM9734766
- License
- unknown
- Published
- Jun 11, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB