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10x Xenium

Mouse liver

GSM8605281

bronze Interactive viewer melanoma Provisional
Mouse liver preview
print(sdata)
SpatialData object
├── Images
│     └── 'morphology_mip': DataTree[cyx] (1, 23929, 51098), (1, 11964, 25549), (1, 5982, 12774), (1, 2991, 6387), (1, 1495, 3193)
├── Labels
│     └── 'cell_labels': DataTree[yx] (23588, 50874), (11794, 25437), (5897, 12718), (2948, 6359), (1474, 3179)
├── Points
│     └── 'transcripts': DataFrame with shape: (32497245, 11) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (154482, 1) (2D shapes)
│     └── 'cell_circles': GeoDataFrame shape: (154482, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (154482, 399)
with coordinate systems:
    ▸ 'global', with elements:
        morphology_mip (Images), cell_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("fGtAOzNtDRqmoZ6M")   # 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/fGtAOzNtDRqmoZ6M

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid fGtAOzNtDRqmoZ6M
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["fGtAOzNtDRqmoZ6M0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

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Metadata

Technology
10x Xenium
Organism
mouse
Tissue
liver
Condition
melanoma
Modality
RNA
Observations
154,482
Transcripts
10,832,415
Tier
bronze
Size
2.2 GB
Sample ID
GSM8605281
License
unknown
Published
Jan 14, 2025

Cite this dataset

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

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