10x Xenium
Human lung
GSM10045633
silver Interactive viewer large cell neuroendocrine carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 24007, 45492), (1, 12003, 22746), (1, 6001, 11373), (1, 3000, 5686), (1, 1500, 2843)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (23985, 44321), (11992, 22160), (5996, 11080), (2998, 5540), (1499, 2770)
│ └── 'nucleus_labels': DataTree[yx] (23956, 44295), (11978, 22147), (5989, 11073), (2994, 5536), (1497, 2768)
├── Points
│ └── 'transcripts': DataFrame with shape: (168874117, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (447391, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (447391, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (447413, 2) (2D shapes)
└── Tables
└── 'table': AnnData (447391, 5001)
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("EWlXtev09gDq01CT0000")
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("EWlXtev09gDq01CT") # 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 EWlXtev09gDq01CT0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/EWlXtev09gDq01CT
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid EWlXtev09gDq01CTLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- lung
- Condition
- large cell neuroendocrine carcinoma
- Modality
- RNA
- Observations (cells)
- 447,391
- Transcripts
- 168,874,117
- Tier
- silver
- Size
- 6.2 GB
- Sample ID
- GSM10045633
- License
- NCBI GEO policy
- Published
- Sep 29, 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