Visium
Human thyroid gland
GSM7980871
silver Interactive viewer H&E thyroid gland carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'GSM7980871_LPTC-4_visium_hires_image': DataArray[cyx] (3, 2000, 1857)
├── Shapes
│ └── 'GSM7980871_LPTC-4_visium': GeoDataFrame shape: (4737, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4737, 36601)
with coordinate systems:
▸ 'GSM7980871_LPTC-4_visium', with elements:
GSM7980871_LPTC-4_visium_hires_image (Images), GSM7980871_LPTC-4_visium (Shapes)
▸ 'GSM7980871_LPTC-4_visium_downscaled_hires', with elements:
GSM7980871_LPTC-4_visium_hires_image (Images), GSM7980871_LPTC-4_visium (Shapes)
▸ 'GSM7980871_LPTC-4_visium_downscaled_lowres', with elements:
GSM7980871_LPTC-4_visium (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("ztZUqSVPB7XN91Gs0001")
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("ztZUqSVPB7XN91Gs") # 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 ztZUqSVPB7XN91Gs0001 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/ztZUqSVPB7XN91Gs
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid ztZUqSVPB7XN91GsLicense: NCBI GEO policy
Part of collection
A Spatially Resolved Transcriptome Landscape during Thyroid Cancer Progression→ 16 datasets · time course
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- thyroid gland
- Condition
- thyroid gland carcinoma
- Modality
- RNA
- Observations (spots)
- 4,737
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,857 × 2,000 px
- mpp
- 3.610 µm/px
- Size
- 62.9 MB
- Sample ID
- GSM7980871
- License
- NCBI GEO policy
- Published
- Feb 16, 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