Visium
Human skin of body
GSM8656735
silver Interactive viewer H&E peripheral T-cell lymphoma, not otherwise specified No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8656735_C24_13076_hires_image': DataArray[cyx] (3, 2000, 2000)
│ └── 'GSM8656735_C24_13076_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│ └── 'GSM8656735_C24_13076': GeoDataFrame shape: (1702, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1702, 17944)
with coordinate systems:
▸ 'GSM8656735_C24_13076', with elements:
GSM8656735_C24_13076_hires_image (Images), GSM8656735_C24_13076_lowres_image (Images), GSM8656735_C24_13076 (Shapes)
▸ 'GSM8656735_C24_13076_downscaled_hires', with elements:
GSM8656735_C24_13076_hires_image (Images), GSM8656735_C24_13076 (Shapes)
▸ 'GSM8656735_C24_13076_downscaled_lowres', with elements:
GSM8656735_C24_13076_lowres_image (Images), GSM8656735_C24_13076 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("kfKJyJYl1xgM8U9L0000")
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("kfKJyJYl1xgM8U9L") # 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 kfKJyJYl1xgM8U9L0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/kfKJyJYl1xgM8U9L
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid kfKJyJYl1xgM8U9LLicense: NCBI GEO policy
Part of collection
Multi-Omic Single-Cell Dissection of Leukemic T-Cell Lymphoma Following CAR T-Cell Therapy [Spatial Transcriptomics]→ 3 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- skin of body
- Condition
- peripheral T-cell lymphoma, not otherwise specified
- Modality
- RNA
- Observations (spots)
- 1,702
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 2,000 × 2,000 px
- mpp
- 3.652 µm/px
- Size
- 31.4 MB
- Sample ID
- GSM8656735
- License
- NCBI GEO policy
- Published
- Jan 5, 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