Source Data files to reproduce figures in nnSVG paper (Weber et al. 2023, "nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes", Nature Communications, preprint also available from bioRxiv at https://www.biorxiv.org/content/10.1101/2022.05.16.492124v3). Files are provided as R objects (.RData files), which can be loaded within R scripts in our reproducible code repository available from GitHub at https://github.com/lmweber/nnSVG-analyses.