10x Xenium
Human bone marrow
GSM9035042
bronze Interactive viewer smoldering plasma cell myeloma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 54401, 20048), (1, 27200, 10024), (1, 13600, 5012), (1, 6800, 2506), (1, 3400, 1253)
├── Labels
│ └── 'cell_labels': DataTree[yx] (53984, 19939), (26992, 9969), (13496, 4984), (6748, 2492), (3374, 1246)
├── Points
│ └── 'transcripts': DataFrame with shape: (10056726, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (102798, 1) (2D shapes)
│ └── 'cell_circles': GeoDataFrame shape: (102798, 2) (2D shapes)
└── Tables
└── 'table': AnnData (102798, 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("gYVwqmd0mEsr6klw0000")
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("gYVwqmd0mEsr6klw") # 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 gYVwqmd0mEsr6klw0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/gYVwqmd0mEsr6klw
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid gYVwqmd0mEsr6klwLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- bone marrow
- Condition
- smoldering plasma cell myeloma
- Modality
- RNA
- Observations (cells)
- 102,798
- Transcripts
- 10,056,726
- Tier
- bronze
- Size
- 1.2 GB
- Sample ID
- GSM9035042
- License
- NCBI GEO policy
- Published
- Jul 13, 2025
Cite this dataset
doi.org/10.1182/blood.2025028896 ↗ BibTeX
@article{geo:GSM9035042,
doi = {10.1182/blood.2025028896},
title = {GSM9035042},
year = {2025}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB