10x Xenium
Human brain
GSM9617485
silver Interactive viewer breast carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 51013, 45434), (1, 25506, 22717), (1, 12753, 11358), (1, 6376, 5679), (1, 3188, 2839)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (51012, 45434), (25506, 22717), (12753, 11358), (6376, 5679), (3188, 2839)
│ └── 'nucleus_labels': DataTree[yx] (50979, 45408), (25489, 22704), (12744, 11352), (6372, 5676), (3186, 2838)
├── Points
│ └── 'transcripts': DataFrame with shape: (20451061, 9) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (207277, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (207277, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (207277, 1) (2D shapes)
└── Tables
└── 'table': AnnData (207277, 280)
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) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("zjLJatizLMvFBFDz0000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) Python · lamindb
Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("zjLJatizLMvFBFDz") # stem uid: Lamin resolves it to the 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 Shell
# sddb client: download the .zarr into data/
sddb-cli download zjLJatizLMvFBFDz0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/zjLJatizLMvFBFDz
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid zjLJatizLMvFBFDzLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- brain
- Condition
- breast carcinoma
- Modality
- RNA
- Observations (cells)
- 207,277
- Transcripts
- 20,451,061
- Tier
- silver
- Size
- 2.9 GB
- Sample ID
- GSM9617485
- License
- NCBI GEO policy
- Published
- May 23, 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