10x Xenium
Mouse uterus
GSM9457930
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataArray[cyx] (1, 23902, 17144)
├── Points
│ └── 'transcripts': DataFrame with shape: (67777005, 13) (3D points)
├── Shapes
│ └── 'cell_circles': GeoDataFrame shape: (139806, 2) (2D shapes)
└── Tables
└── 'table': AnnData (139806, 480)
with coordinate systems:
▸ 'global', with elements:
morphology_mip (Images), transcripts (Points), cell_circles (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("L2zHg70oK6ficGKQ") # 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/L2zHg70oK6ficGKQ
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid L2zHg70oK6ficGKQ Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["L2zHg70oK6ficGKQ0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial Transcriptomic Mapping of Postnatal Mouse Uterine Development→ 8 datasets · time course
Metadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- uterus
- Modality
- RNA
- Observations
- 139,806
- Transcripts
- 67,777,005
- Tier
- bronze
- Size
- 1.5 GB
- Sample ID
- GSM9457930
- License
- NCBI GEO policy
- Published
- Jul 8, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB