Dataset for: Paleoenvironmental models for Australia and the impact of aridification on blindsnake diversification

Aim: Shifts in diversification rates of Australian flora and fauna have been associated with aridification, but the relationship between diversification rates and aridity has never been quantified. We employed multiple approaches to accurately reconstruct paleoenvironments of Australia for the first time. We used this information, and phylogenetic-based analyses, to explore how changes in temperature and increasing aridity during the Neogene influenced the diversification of the Australian blindsnakes. We tested whether diversification rates differ between arid-adapted and mesic-adapted lineages. Taxon: Typhlopidae, Anilios blindsnakes Location: Australia Materials and Methods: We estimated the historical biogeography of blindsnakes using BioGeoBEARS. We synthesised multiple approaches to reconstruct paleotemperature and paleoaridity of Australia during the Neogene. We fit several birth-death models and estimate diversification rates under paleoenvironmental conditions using RPANDA. We ..., , Check the README.md for details about how to structure your analyses folder. All scripts can be run using open-source software. R is required to run R scripts (.R). Julia is required to run Julia scripts (.jl). , # Data set for \"Paleoenvironmental models for Australia and the impact of aridification on blindsnake diversification\" --- These data sets were used to perform analyses included in the research paper \"Paleoenvironmental models for Australia and the impact of aridification on blindsnake diversification.\" Main aims for the project: 1. Estimate the historical biogeography of Australian blindsnakes using 'BioGeoBEARS.' 2. Fit birth-death models and estimate diversification rates under different paleoenvironmental conditions using 'RPANDA.' 3. Compare diversification rates between arid-adapted and mesic-adapted lineages using 'ClaDS' and 'hisse.' ## Data and file structure **/2021_ALA_blindsnake_occurence_data/** -- this folder should be replaced with the 2021_ALA_blindsnake_occurence_data.zip on Zenodo ([https://doi.org/10.5281/zenodo.7571419](https://doi.org/10.5281/zenodo.7571419)) * Data from ALA can be downloaded at [https://doi.org/10.26197/ala.d92678b1-ad2d-437b-9457-9f527...**研究目标**：澳大利亚动植物类群的多样化速率变化与干旱化过程存在显著关联，但多样化速率与干旱程度之间的定量关系尚未得到明确量化。本研究首次采用多方法组合策略，精准重建澳大利亚古环境（paleoenvironments）演化历史；依托上述古环境数据与基于系统发育的分析方法，探究新近纪（Neogene）时期温度变化与干旱化加剧对澳大利亚盲蛇（blindsnakes）多样化进程的影响；同时检验适应干旱生境与适应湿润生境的演化支系之间，其多样化速率是否存在显著差异。 **分类类群**：盲蛇科（Typhlopidae）、细盲蛇属（Anilios）盲蛇 **研究区域**：澳大利亚 **材料与方法**：本研究借助BioGeoBEARS工具估算盲蛇的历史生物地理学过程；整合多类分析方法重建澳大利亚新近纪时期的古温度与古干旱程度；通过RPANDA工具拟合多种生灭模型（birth-death models），并基于古环境条件估算多样化速率；详细的分析文件夹构建规范请查阅"README.md"文件。所有分析脚本均可通过开源软件运行：运行R脚本（.R格式）需依赖R语言环境，运行Julia脚本（.jl格式）需依赖Julia语言环境。 --- 本数据集为《澳大利亚古环境模型与干旱化对盲蛇多样化的影响》（*Paleoenvironmental models for Australia and the impact of aridification on blindsnake diversification*）研究的配套数据，相关数据用于完成该研究论文中的各项分析工作。 **本项目核心研究目标**： 1. 借助BioGeoBEARS工具估算澳大利亚盲蛇的历史生物地理学过程； 2. 借助RPANDA工具拟合多种生灭模型，并基于不同古环境条件估算多样化速率； 3. 借助ClaDS与hisse工具，对比适应干旱生境与适应湿润生境的演化支系间的多样化速率差异。 **数据与文件结构** `/2021_ALA_blindsnake_occurence_data/`：该文件夹需替换为Zenodo平台上的2021_ALA_blindsnake_occurence_data.zip压缩包（DOI：10.5281/zenodo.7571419）。 * 澳大利亚ALA相关数据可通过以下链接下载：https://doi.org/10.26197/ala.d92678b1-ad2d-437b-9457-9f527...