Data from Exposito-Alonso et al. (2019). A map of climate change-driven natural selection in Arabidopsis thaliana. Nature.
The data is comprised of three fitness traits in eight experimental environments and 98 climate variables of origin.
Fitness traits include Survival from germination to reproductive adult, the number of Seeds produced per individual adult, and the product of both (Fitness). The traits have already been scaled by the mean of the experimental population, so they are relative fitness traits. The codes of each experiment follow a three letter format. The first position is either "m" from Madrid (Spain), "t" from Tuebingen (Germany). The second position is either "h" from high rainfall or "l" from low rainfall. The third position is either "p" from population replicate pot (where plants are at high density), or "i" from an individual replicate pot (where there was one plant per pot). In combination, for example, the code "mlp" refers to the fitness in the experiment of Madrid, at low precipitation, and high plant population density in the plot.
Climate variables were used to understand the relationship between genome variation and environment of origin. They were derived intersecting the geographic coordinates where natural lines were originally collected and climate maps from worldclim.org (and derived metrics).