← All datasets
10x Xenium

Human lung

GSM9052317

bronze Interactive viewer lung adenocarcinoma Provisional
Human lung preview
print(sdata)
SpatialData object
├── Labels
│     ├── 'cell_labels': DataTree[yx] (67527, 44983), (33763, 22491), (16881, 11245), (8440, 5622), (4220, 2811)
│     └── 'nucleus_labels': DataTree[yx] (67387, 44846), (33693, 22423), (16846, 11211), (8423, 5605), (4211, 2802)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (136831, 1) (2D shapes)
│     ├── 'cell_circles': GeoDataFrame shape: (136831, 2) (2D shapes)
│     └── 'nucleus_boundaries': GeoDataFrame shape: (136831, 1) (2D shapes)
└── Tables
      └── 'table': AnnData (136831, 339)
with coordinate systems:
    ▸ 'global', with elements:
        cell_labels (Labels), nucleus_labels (Labels), 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("Rpj9sLeXt9hg09Lr")   # 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/Rpj9sLeXt9hg09Lr

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Rpj9sLeXt9hg09Lr
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["Rpj9sLeXt9hg09Lr0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue

Metadata

Technology
10x Xenium
Organism
human
Tissue
lung
Condition
lung adenocarcinoma
Modality
RNA
Observations
136,831
Tier
bronze
Size
156 MB
Sample ID
GSM9052317
License
unknown
Published
Jun 30, 2025

Cite this dataset

No linked publication found — please cite the data source: NCBI GEO ↗.

Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB