10x Xenium
Human brain
GSM9572842
bronze Interactive viewer glioblastoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 44240, 48322), (1, 22120, 24161), (1, 11060, 12080), (1, 5530, 6040), (1, 2765, 3020)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (43207, 48308), (21603, 24154), (10801, 12077), (5400, 6038), (2700, 3019)
│ └── 'nucleus_labels': DataTree[yx] (43161, 48261), (21580, 24130), (10790, 12065), (5395, 6032), (2697, 3016)
├── Points
│ └── 'transcripts': DataFrame with shape: (8304328, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (55343, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (55343, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (55343, 2) (2D shapes)
└── Tables
└── 'table': AnnData (55343, 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("sD6DRIQf6XakU5FV") # 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/sD6DRIQf6XakU5FV
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid sD6DRIQf6XakU5FV Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["sD6DRIQf6XakU5FV0000"])[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
- 55,343
- Transcripts
- 8,304,328
- Tier
- bronze
- Size
- 1.9 GB
- Sample ID
- GSM9572842
- 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