Diatom dataset for automated molecular species delimitation models

Dataset is composed of alignments and trees built with diatom (Bacillariophyta) species that were used as input to verify the accuracy of different automated molecular species delimitation models in the manuscript: <strong> Comparison between p-distance and single-locus species delimitation models for delineating reproductively tested strains of pennate diatoms (Bacillariophyceae) using cox1, rbcL and ITS. </strong>Journal of Eukaryotic Microbiology. <br> The models or methods tested were: Automatic Barcode Gap Discovery for primary species delimitation (ABGD), Assemble Species by Automatic Partitioning (ASAP), Statistical Parsimony Network Analysis (SPNA), Generalized Mixed Yule Coalescent (GMYC) and Poisson Tree Processes (PTP). More details on dataset in the file Data_Description.docx

本数据集由以硅藻（Bacillariophyta，硅藻门）物种构建的序列联配与系统发育树组成，上述数据被用作输入，以验证发表于《真核微生物学期刊》（Journal of Eukaryotic Microbiology）的论文《基于cox1、rbcL及ITS序列对羽纹硅藻（Bacillariophyceae，羽纹硅藻纲）经生殖验证菌株进行界定的p距离与单基因座物种界定模型间的比较》中不同自动化分子物种界定模型的准确性。本次测试的模型或方法包括：用于初级物种界定的自动条形码间隙发现（Automatic Barcode Gap Discovery for primary species delimitation，ABGD）、基于自动分区的物种组装（Assemble Species by Automatic Partitioning，ASAP）、统计简约网络分析（Statistical Parsimony Network Analysis，SPNA）、广义混合约尔-溯祖模型（Generalized Mixed Yule Coalescent，GMYC）以及泊松树过程模型（Poisson Tree Processes，PTP）。有关本数据集的更多详细信息，请参阅Data_Description.docx文件。