10x Xenium
Human brain
GSM9572843
bronze Interactive viewer glioblastoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 71393, 51159), (1, 35696, 25579), (1, 17848, 12789), (1, 8924, 6394), (1, 4462, 3197)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (67513, 49677), (33756, 24838), (16878, 12419), (8439, 6209), (4219, 3104)
│ └── 'nucleus_labels': DataTree[yx] (67468, 49631), (33734, 24815), (16867, 12407), (8433, 6203), (4216, 3101)
├── Points
│ └── 'transcripts': DataFrame with shape: (187393593, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (851509, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (851509, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (851509, 2) (2D shapes)
└── Tables
└── 'table': AnnData (851509, 366)
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("eCWlDrQGSwdVRmmN") # 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/eCWlDrQGSwdVRmmN
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid eCWlDrQGSwdVRmmN Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["eCWlDrQGSwdVRmmN0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- brain
- Condition
- glioblastoma
- Modality
- RNA
- Observations
- 851,509
- Transcripts
- 187,393,593
- Tier
- bronze
- Size
- 11 GB
- Sample ID
- GSM9572843
- License
- unknown
- Published
- Mar 17, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB