Data for: A global model of discretized rarity and its restrictions

We introduce a <b>global 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 restrictions that define rarity based on research question, management goal, spatial scale, and data availability.We test these restrictions’ ability to explain variation in <b>flowering phenology</b> and <b>distribution changes</b> in British flora over 32 years. The global model performs well in explaining these biological processes; however, some restrictions outperform the richer GDR model. One such restriction, <b>GRLFRLPL</b>, consistently emerges as the most informative definition of rarity, though its high dimensionality and data requirements limit practical use. Other novel restrictions 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 global model of discretized rarity and its restrictions”</i> and include:<b>GDR restriction performance</b> — Information on how restrictions explain distribution change, flowering duration, and Great Britain Red List status across a <b>small sample of 82 British plant species</b> and a <b>large sample of 1011 British plant species</b>.<b>Species attributes and abundance</b> — Geographic and functional attributes of species and their abundance used to run analyses.<b>Global rarity types</b> — Rarity classifications for <b>5,611 global angiosperms</b> using a GDR restriction named <b>eco-evolutionary rarity</b>.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.