A dataset containing speciation rates, uncertainty, and presence-absence matrices for more than 34,000 vertebrate species

The increasing availability of phylogenetic data has facilitated the exploration of macroecological and macroevolutionary patterns across diverse spatial and temporal scales. However, calculating some model-based diversification metrics often requires significant computational power and time. To address this, I present a comprehensive dataset of Bayesian diversification rates for over 34,000 vertebrate species, spanning five major groups: amphibians, birds, mammals, reptiles, and sharks. This is the first large-scale dataset of its kind, providing both continuous and binary data for speciation rates and presence-absence matrices, respectively, with global coverage. The dataset not only enables analyses of evolutionary and spatial diversity patterns but also democratizes access to data-intensive studies. Additionally, as it is based on Markov chains, the dataset can be customized and extended without the need to start from scratch, offering flexibility for future research on diversification dynamics.