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10x Xenium

Human breast

ffpe-human-breast-using-the-entire-sample-area-1-standard__ffpe-human-breast-idc-big-1

silver Interactive viewer breast cancer No linked publication
Human breast preview
print(sdata)
SpatialData object
├── Images
│     ├── 'morphology_focus': DataTree[cyx] (1, 107121, 51351), (1, 53560, 25675), (1, 26780, 12837), (1, 13390, 6418), (1, 6695, 3209)
│     └── 'morphology_mip': DataTree[cyx] (1, 107121, 51351), (1, 53560, 25675), (1, 26780, 12837), (1, 13390, 6418), (1, 6695, 3209)
├── Labels
│     ├── 'cell_labels': DataTree[yx] (107121, 51351), (53560, 25675), (26780, 12837), (13390, 6418), (6695, 3209)
│     └── 'nucleus_labels': DataTree[yx] (107121, 51351), (53560, 25675), (26780, 12837), (13390, 6418), (6695, 3209)
├── Points
│     └── 'transcripts': DataFrame with shape: (126857390, 8) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (892966, 1) (2D shapes)
│     ├── 'cell_circles': GeoDataFrame shape: (892966, 2) (2D shapes)
│     └── 'nucleus_boundaries': GeoDataFrame shape: (892966, 1) (2D shapes)
└── Tables
      └── 'table': AnnData (892966, 280)
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("d9nSeAcKiF6fL9NH0000")
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("d9nSeAcKiF6fL9NH")   # 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 d9nSeAcKiF6fL9NH0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/d9nSeAcKiF6fL9NH

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid d9nSeAcKiF6fL9NH

License: CC BY 4.0

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

Metadata

Technology
10x Xenium
Organism
human
Tissue
breast
Condition
breast cancer
Modality
RNA
Observations (cells)
892,966
Transcripts
126,857,390
Tier
silver
Chemistry
Xenium v1
Size
19.8 GB
Sample ID
ffpe-human-breast-using-the-entire-sample-area-1-standard__ffpe-human-breast-idc-big-1
License
CC BY 4.0
Published
Jan 22, 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