10x Xenium
Human kidney
GSM8933090
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 108726, 42771), (1, 54363, 21385), (1, 27181, 10692), (1, 13590, 5346), (1, 6795, 2673)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (106103, 41990), (53051, 20995), (26525, 10497), (13262, 5248), (6631, 2624)
│ └── 'nucleus_labels': DataTree[yx] (105963, 41851), (52981, 20925), (26490, 10462), (13245, 5231), (6622, 2615)
├── Points
│ └── 'transcripts': DataFrame with shape: (33104224, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (441503, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (441503, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (441503, 2) (2D shapes)
└── Tables
└── 'table': AnnData (441503, 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("TBgSNnoQJ1gjlKz2") # 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/TBgSNnoQJ1gjlKz2
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid TBgSNnoQJ1gjlKz2 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["TBgSNnoQJ1gjlKz20000"])[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
- 441,503
- Transcripts
- 33,104,224
- Tier
- bronze
- Size
- 6.0 GB
- Sample ID
- GSM8933090
- 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