10x Xenium
Human lung
GSM9945418
silver Interactive viewer small cell lung carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 34058, 36957), (1, 17029, 18478), (1, 8514, 9239), (1, 4257, 4619), (1, 2128, 2309)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (33778, 36188), (16889, 18094), (8444, 9047), (4222, 4523), (2111, 2261)
│ └── 'nucleus_labels': DataTree[yx] (33577, 35077), (16788, 17538), (8394, 8769), (4197, 4384), (2098, 2192)
├── Points
│ └── 'transcripts': DataFrame with shape: (176818671, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (460746, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (460746, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (490031, 2) (2D shapes)
└── Tables
└── 'table': AnnData (460746, 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("YPpZGKqEkbxWBT280000")
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("YPpZGKqEkbxWBT28") # 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 YPpZGKqEkbxWBT280000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/YPpZGKqEkbxWBT28
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid YPpZGKqEkbxWBT28License: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- lung
- Condition
- small cell lung carcinoma
- Modality
- RNA
- Observations (cells)
- 460,746
- Transcripts
- 176,818,671
- Tier
- silver
- Size
- 6.0 GB
- Sample ID
- GSM9945418
- License
- NCBI GEO policy
- Published
- Aug 18, 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