10x Xenium
Human brain
GSM8840046
bronze Interactive viewer medulloblastoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 27256, 51058), (1, 13628, 25529), (1, 6814, 12764), (1, 3407, 6382), (1, 1703, 3191)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (27256, 51058), (13628, 25529), (6814, 12764), (3407, 6382), (1703, 3191)
│ └── 'nucleus_labels': DataTree[yx] (27256, 51058), (13628, 25529), (6814, 12764), (3407, 6382), (1703, 3191)
├── Points
│ └── 'transcripts': DataFrame with shape: (27306188, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (133986, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (133986, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (133986, 1) (2D shapes)
└── Tables
└── 'table': AnnData (133986, 345)
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("etGvT7RExeeOTjDX") # 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/etGvT7RExeeOTjDX
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid etGvT7RExeeOTjDX Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["etGvT7RExeeOTjDX0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- brain
- Condition
- medulloblastoma
- Modality
- RNA
- Observations
- 133,986
- Transcripts
- 27,306,188
- Tier
- bronze
- Size
- 2.4 GB
- Sample ID
- GSM8840046
- License
- unknown
- Published
- Mar 17, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB