Data from: Integrating genomic and phenotypic data to evaluate alternative phylogenetic and species delimitation hypotheses in a recent evolutionary radiation of grasshoppers

Landmarks coordinates of pronota and forewingThis ZIP file includes the raw coordinates of the landmarks employed to characterize the shape variation of the forewing and pronota. Trait shape was characterized separately for each sex. The landmarks are stored in TPS format.01_Landmarks_raw coordinates_Pronota and forewings.zipSVDquartets and SNAPP input filesThis ZIP file includes the different inputs files for SVDquartets and SNAPP to species tree estimation. For SVDquartets analyses, six SNP matrices were employed which were obtained by setting in PyRAD different values of clustering thresholds (Wclust = 0.85 and 0.90) and minimum taxon coverage in a given locus (minCov = 4, 10 and 20). SNAPP analyses were performed employing a SNP matrix generated using Wclust = 0.90 and minCov = 10.02_SVDquartets-SNAPP input files.zipBPP and iBPP input filesThis ZIP file includes the genetic and morphological matrices that were used to perform the BPP and iBPP analyses.03_BPP-iBPP input files.zip

前胸背板与前翅地标坐标数据集
本压缩包包含用于表征前翅与前胸背板形状变异的地标原始坐标。研究针对不同性别分别开展性状形状表征，所有地标均以TPS格式存储。01_Landmarks_raw coordinates_Pronota and forewings.zip

SVDquartets与SNAPP输入文件数据集
本压缩包包含用于物种树推断的SVDquartets与SNAPP分析所需的各类输入文件。针对SVDquartets分析，共使用6组单核苷酸多态性（SNP）矩阵，这些矩阵通过在PyRAD软件中设置不同的聚类阈值（Wclust=0.85与0.90）以及单个位点的最小类群覆盖度（minCov=4、10与20）生成。SNAPP分析则采用通过Wclust=0.90、minCov=10参数生成的SNP矩阵。02_SVDquartets-SNAPP input files.zip

BPP与iBPP输入文件数据集
本压缩包包含用于开展BPP与iBPP分析的遗传与形态学矩阵。03_BPP-iBPP input files.zip