Data for: A general model of discretized rarity and its sub-models

We introduce a <b>general model of discretized rarity (GDR)</b> that incorporates <b>geographic (G), functional (F), and phylogenetic (P) dimensions</b> at <b>regional (R) and local (L) scales</b> to create 63 sub-models that define rarity based on research question, management goal, spatial scale, and data availability.We test these sub-models’ ability to explain variation in <b>flowering phenology</b> and <b>distribution changes</b> in British flora over 32 years. The general model performs well in explaining these biological processes, but one sub-model, <b>G</b>_{<strong>RL</strong>}<b>F</b>_{<strong>RL</strong>}<b>P</b>_{<strong>L</strong>}, consistently emerges as the most informative definition of rarity. However, its high dimensionality and data requirements limit practical use. Other novel sub-models also perform well and can be readily integrated into conservation and research, opening new avenues for linking rarity to community and ecosystem processes within a unified conceptual framework.The following datasets accompany the manuscript <i>“A general model of discretized rarity and its sub-models”</i> and include:<b>GDR sub-model performance</b> — Information on how sub-models explain distribution change and flowering duration in<b> 1011 British plant species</b>.<b>Species attributes and abundance</b> — Geographic and functional attributes of species and their abundance used to run analyses.All analyses were performed using our R package <b><i>GDRarity</i></b> (https://doi.org/10.5281/zenodo.17214385). Detailed information about the datasets and instructions for reproducing results are provided in the <b>README.md</b> file.