Data from: Improving the robustness of phylogenetic independent contrasts: Addressing abrupt evolutionary shifts with outlier- and distribution-guided correlation

This dataset provides a comprehensive resource for evaluating phylogenetic
comparative methods under diverse evolutionary scenarios. The dataset
includes: simulated phylogenetic trees (fixed-full-balanced and randomly
generated), trait data for 16, 128, and 256 species,
incorporating both gradual and abrupt evolutionary
shifts, statistical outputs from multiple phylogenetic
comparative methods, including PIC-OGC, PIC-MM, and other robust
regression models, and benchmark results for detecting trait correlations
under varying degrees of phylogenetic autocorrelation and noise. This
dataset enables researchers to explore the impact of evolutionary shifts
on trait correlation analysis, compare the performance of phylogenetic
methods, and validate novel approaches for handling outliers and
non-normal data distributions.