Visium
Human oral cavity
GSM6339631
bronze Interactive viewer H&E oral cavity squamous cell carcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'GSM6339631_s1_hires_image': DataArray[cyx] (3, 2000, 1970)
├── Shapes
│ └── 'GSM6339631_s1': GeoDataFrame shape: (1185, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1185, 36601)
with coordinate systems:
▸ 'GSM6339631_s1', with elements:
GSM6339631_s1_hires_image (Images), GSM6339631_s1 (Shapes)
▸ 'GSM6339631_s1_downscaled_hires', with elements:
GSM6339631_s1_hires_image (Images), GSM6339631_s1 (Shapes)
▸ 'GSM6339631_s1_downscaled_lowres', with elements:
GSM6339631_s1 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("0R7SwC3I9MyadQKB") # 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/0R7SwC3I9MyadQKB
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 0R7SwC3I9MyadQKB Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["0R7SwC3I9MyadQKB0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial transcriptomics reveals distinct and conserved tumor core and edge architectures that predict survival and targeted therapy response→ 12 datasets · time course
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- oral cavity
- Condition
- oral cavity squamous cell carcinoma
- Modality
- RNA
- Observations
- 1,185
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 1,970 × 2,000 px
- mpp
- 3.346 µm/px
- Size
- 17 MB
- Sample ID
- GSM6339631
- License
- unknown
- Published
- Jun 25, 2023
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB