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10x Xenium

Human lung

xenium-human-lung-preview-data-1-standard__preview-human-non-diseased-lung-with-add-on-ffpe

silver Interactive viewer No linked publication
Human lung preview
print(sdata)
SpatialData object
├── Images
│     ├── 'morphology_focus': DataTree[cyx] (1, 47696, 51148), (1, 23848, 25574), (1, 11924, 12787), (1, 5962, 6393), (1, 2981, 3196)
│     └── 'morphology_mip': DataTree[cyx] (1, 47696, 51148), (1, 23848, 25574), (1, 11924, 12787), (1, 5962, 6393), (1, 2981, 3196)
├── Labels
│     ├── 'cell_labels': DataTree[yx] (47696, 51148), (23848, 25574), (11924, 12787), (5962, 6393), (2981, 3196)
│     └── 'nucleus_labels': DataTree[yx] (47696, 51148), (23848, 25574), (11924, 12787), (5962, 6393), (2981, 3196)
├── Points
│     └── 'transcripts': DataFrame with shape: (28598591, 10) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (295883, 1) (2D shapes)
│     ├── 'cell_circles': GeoDataFrame shape: (295883, 2) (2D shapes)
│     └── 'nucleus_boundaries': GeoDataFrame shape: (295883, 1) (2D shapes)
└── Tables
      └── 'table': AnnData (295883, 392)
with coordinate systems:
    ▸ 'global', with elements:
        morphology_focus (Images), 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("IaC6hZKycjIZF5GW0000")
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("IaC6hZKycjIZF5GW")   # 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 IaC6hZKycjIZF5GW0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/IaC6hZKycjIZF5GW

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid IaC6hZKycjIZF5GW

License: CC BY 4.0

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

Metadata

Technology
10x Xenium
Organism
human
Tissue
lung
Modality
RNA
Observations (cells)
295,883
Transcripts
28,598,591
Tier
silver
Chemistry
Xenium v1
Size
7.3 GB
Sample ID
xenium-human-lung-preview-data-1-standard__preview-human-non-diseased-lung-with-add-on-ffpe
License
CC BY 4.0
Published
May 18, 2023

Cite this dataset

No linked publication found — please cite the data source: 10x Genomics ↗.

Source: 10x Genomics ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB