10x Xenium
Human lung
GSM9509134
bronze Interactive viewer non-small cell lung carcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_focus': DataTree[cyx] (4, 23880, 19954), (4, 11940, 9977), (4, 5970, 4988), (4, 2985, 2494), (4, 1492, 1247)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (23625, 19659), (11812, 9829), (5906, 4914), (2953, 2457), (1476, 1228)
│ └── 'nucleus_labels': DataTree[yx] (21436, 19522), (10718, 9761), (5359, 4880), (2679, 2440), (1339, 1220)
├── Points
│ └── 'transcripts': DataFrame with shape: (24686330, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (67763, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (67763, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (67650, 2) (2D shapes)
└── Tables
└── 'table': AnnData (67763, 5001)
with coordinate systems:
▸ 'global', with elements:
morphology_focus (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("gUeCC5zUfJ89AOab0000")
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("gUeCC5zUfJ89AOab") # 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 gUeCC5zUfJ89AOab0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/gUeCC5zUfJ89AOab
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid gUeCC5zUfJ89AOabLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- lung
- Condition
- non-small cell lung carcinoma
- Modality
- RNA
- Observations (cells)
- 67,763
- Transcripts
- 24,686,330
- Tier
- bronze
- Size
- 2.4 GB
- Sample ID
- GSM9509134
- License
- NCBI GEO policy
- Published
- Mar 27, 2026
Cite this dataset
doi.org/10.1038/s41592-026-03089-8 ↗ BibTeX
@article{geo:GSM9509134,
doi = {10.1038/s41592-026-03089-8},
title = {GSM9509134},
year = {2026}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB