10x Xenium
Human breast
GSM9509162
bronze Interactive viewer breast cancer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_focus': DataTree[cyx] (1, 20508, 39791), (1, 10254, 19895), (1, 5127, 9947), (1, 2563, 4973), (1, 1281, 2486)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (17862, 39413), (8931, 19706), (4465, 9853), (2232, 4926), (1116, 2463)
│ └── 'nucleus_labels': DataTree[yx] (17722, 39273), (8861, 19636), (4430, 9818), (2215, 4909), (1107, 2454)
├── Points
│ └── 'transcripts': DataFrame with shape: (24218377, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (153505, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (153505, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (153505, 1) (2D shapes)
└── Tables
└── 'table': AnnData (153505, 280)
with coordinate systems:
▸ 'global', with elements:
morphology_focus (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("43IkYGMsKVwt5zEe0000")
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("43IkYGMsKVwt5zEe") # 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 43IkYGMsKVwt5zEe0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/43IkYGMsKVwt5zEe
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 43IkYGMsKVwt5zEeLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- breast
- Condition
- breast cancer
- Modality
- RNA
- Observations (cells)
- 153,505
- Transcripts
- 24,218,377
- Tier
- bronze
- Size
- 1.9 GB
- Sample ID
- GSM9509162
- License
- NCBI GEO policy
- Published
- Mar 27, 2026
Cite this dataset
doi.org/10.1038/s41592-026-03089-8 ↗ BibTeX
@article{geo:GSM9509162,
doi = {10.1038/s41592-026-03089-8},
title = {GSM9509162},
year = {2026}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB