10x Xenium
Human kidney
GSM8933088
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 102045, 48486), (1, 51022, 24243), (1, 25511, 12121), (1, 12755, 6060), (1, 6377, 3030)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (101388, 48425), (50694, 24212), (25347, 12106), (12673, 6053), (6336, 3026)
│ └── 'nucleus_labels': DataTree[yx] (101248, 48287), (50624, 24143), (25312, 12071), (12656, 6035), (6328, 3017)
├── Points
│ └── 'transcripts': DataFrame with shape: (28604442, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (412356, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (412356, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (412356, 2) (2D shapes)
└── Tables
└── 'table': AnnData (412356, 480)
with coordinate systems:
▸ 'global', with elements:
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("w1xAbJjJ3mzWkfSE") # 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/w1xAbJjJ3mzWkfSE
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid w1xAbJjJ3mzWkfSE Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["w1xAbJjJ3mzWkfSE0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatio-temporal interaction of immune and renal cells determines glomerular crescent formation in autoimmune kidney disease→ 9 datasets · publication
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- kidney
- Modality
- RNA
- Observations
- 412,356
- Transcripts
- 28,604,442
- Tier
- bronze
- Size
- 5.8 GB
- Sample ID
- GSM8933088
- License
- NCBI GEO policy
- Published
- May 30, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB