Data associated with publication: O'Brien et al. "The distribution of fitness effects during adaptive walks using a simple genetic network"

This paper investigates the behaviour of adaptive walks to a phenotypic optimum when the phenotype is described by an additive quantitative genetics model or a simple gene regulatory network, the negative autoregulation (NAR) motif. Under the network model, the trait is constructed by solving an ordinary differential equation, which is modified by mutations at loci along the genome. Simulations were carried out in a custom version of SLiM 3.7.1 available at https://github.com/nobrien97/SLiM/releases/tag/AdaptiveWalks2023. This dataset contains csv files measuring trait responses (detailing how the mean population trait value changed during adaptation), mutation information (allelic effect sizes, origin times, and frequencies), and per-locus heterozygosity (describing the per-locus heterozygosity over time).