10x Xenium
Human bone marrow
GSM9035029
bronze Interactive viewer plasma cell myeloma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 64614, 25529), (1, 32307, 12764), (1, 16153, 6382), (1, 8076, 3191), (1, 4038, 1595)
├── Labels
│ └── 'cell_labels': DataTree[yx] (62958, 23012), (31479, 11506), (15739, 5753), (7869, 2876), (3934, 1438)
├── Points
│ └── 'transcripts': DataFrame with shape: (12871469, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (160479, 1) (2D shapes)
│ └── 'cell_circles': GeoDataFrame shape: (160479, 2) (2D shapes)
└── Tables
└── 'table': AnnData (160479, 5001)
with coordinate systems:
▸ 'global', with elements:
morphology_mip (Images), cell_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("RDM3u4xHn2xCw2iZ0000")
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("RDM3u4xHn2xCw2iZ") # 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 RDM3u4xHn2xCw2iZ0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/RDM3u4xHn2xCw2iZ
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid RDM3u4xHn2xCw2iZLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- bone marrow
- Condition
- plasma cell myeloma
- Modality
- RNA
- Observations (cells)
- 160,479
- Transcripts
- 12,871,469
- Tier
- bronze
- Size
- 1.6 GB
- Sample ID
- GSM9035029
- License
- NCBI GEO policy
- Published
- Jul 13, 2025
Cite this dataset
doi.org/10.1182/blood.2025028896 ↗ BibTeX
@article{geo:GSM9035029,
doi = {10.1182/blood.2025028896},
title = {GSM9035029},
year = {2025}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB