SPACKLE v0.1 sample data: Visium HD and Xenium spatial transcriptomic datasets

Sample datasets for SPACKLE (Spatial Platform for Analysis of Composite stacKs and Layered data Extraction), a Python framework for spatial transcriptomic analysis. This archive contains pre-processed SPACKLE bundles for two spatial platforms: Visium HD (10x Genomics): one coronal mouse brain section with spot-level expression data at 2/4/8/16 µm bin resolutions and full-resolution immunofluorescence images (DAPI, NeuN). Xenium (10x Genomics): two coronal mouse brain sections extracted from a single-slide run, with single-transcript point clouds and four immunofluorescence channels (DAPI, Marker 1–3). All data are stored in SPACKLE's native Zarr-based format with multi-resolution image pyramids, spatially-indexed transcript data, and pre-computed block indices for fast region-based access. Vignette notebooks demonstrating use of these datasets are available at [GitHub link].