10x Xenium
Human skin of body
GSM9451450
silver melanoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17257, 54006), (1, 8628, 27003), (1, 4314, 13501), (1, 2157, 6750), (1, 1078, 3375)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (17138, 53596), (8569, 26798), (4284, 13399), (2142, 6699), (1071, 3349)
│ └── 'nucleus_labels': DataTree[yx] (17136, 52838), (8568, 26419), (4284, 13209), (2142, 6604), (1071, 3302)
├── Points
│ └── 'transcripts': DataFrame with shape: (47571820, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (106573, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (106573, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (106640, 2) (2D shapes)
└── Tables
└── 'table': AnnData (106573, 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) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("iu2I2SnNFkB9WdCD") # 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/iu2I2SnNFkB9WdCD
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid iu2I2SnNFkB9WdCD Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["iu2I2SnNFkB9WdCD0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- skin of body
- Condition
- melanoma
- Modality
- RNA
- Observations
- 106,573
- Transcripts
- 47,571,820
- Tier
- silver
- Size
- 1.8 GB
- Sample ID
- GSM9451450
- License
- unknown
- Published
- Sep 8, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB