10x Xenium
Mouse brain
fresh-frozen-mouse-brain-replicates-1-standard__ff-mouse-brain-multisection-3
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'morphology_focus': DataTree[cyx] (1, 37170, 45540), (1, 18585, 22770), (1, 9292, 11385), (1, 4646, 5692), (1, 2323, 2846)
│ └── 'morphology_mip': DataTree[cyx] (1, 37170, 45540), (1, 18585, 22770), (1, 9292, 11385), (1, 4646, 5692), (1, 2323, 2846)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (37170, 45540), (18585, 22770), (9292, 11385), (4646, 5692), (2323, 2846)
│ └── 'nucleus_labels': DataTree[yx] (37170, 45540), (18585, 22770), (9292, 11385), (4646, 5692), (2323, 2846)
├── Points
│ └── 'transcripts': DataFrame with shape: (59424126, 8) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (158047, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (158047, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (158047, 1) (2D shapes)
└── Tables
└── 'table': AnnData (158047, 248)
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("z9auL4aWa7aS8w3M") # 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/z9auL4aWa7aS8w3M
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid z9auL4aWa7aS8w3M Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["z9auL4aWa7aS8w3M0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- brain
- Modality
- RNA
- Observations
- 158,047
- Transcripts
- 59,424,126
- Tier
- silver
- Chemistry
- Xenium v1
- Size
- 5.4 GB
- Sample ID
- fresh-frozen-mouse-brain-replicates-1-standard__ff-mouse-brain-multisection-3
- 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