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
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) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("d9nSeAcKiF6fL9NH") # 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/d9nSeAcKiF6fL9NH
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid d9nSeAcKiF6fL9NH Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["d9nSeAcKiF6fL9NH0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- breast
- Condition
- breast cancer
- Modality
- RNA
- Observations
- 892,966
- Transcripts
- 126,857,390
- Tier
- silver
- Chemistry
- Xenium v1
- Size
- 18 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