This README file was generated on 2022-07-01 by Xiaoxu Pang GENERAL INFORMATION 1. Title of Dataset: Data from: Impact of Ghost Introgression on Coalescent-based Species Tree Inference and Estimation of Divergence Time. 2. Author Information Corresponding Investigator Name: Xiaoxu Pang Institution: College of Life Sciences, Beijing Normal University, Beijing, China. Email: pangxiaoxu@mail.bnu.edu.cn DATA & FILE OVERVIEW 1. Description of dataset These data were generated to explore impact of ghost introgression on coalescent-based species tree inference and estimation of divergence time. There are eleven simulation datasets for different introgression scenarios. And there are seven colnums for each file, which, from left to right, represents introgression probability gamma, branch length t1, branch length t2, inferred topology, support value, divergence time, species tree method, respectively. 2. File List: net1.stat Description: inflow introgression (Fig.6) net2.stat Description: inflow introgression (Fig.S3) net3.stat Description: outflow introgression (Fig.7) net4.stat Description: ancestral sister gene flow with species C acting as donor (Fig.S4) net5.stat Description: ancestral sister gene flow with species C acting as recipient (Fig.S5) net6.stat Description: gene flow from an outgroup ghost to the ancestor of sister species (Fig.3) net7.stat Description: gene flow from an outgroup ghost to C (Fig.5) net8.stat Description: gene flow from an outgroup ghost to one sister species A|B (Fig.4) net9.stat Description: gene flow from an ancestor-derived ingroup ghost to one sister species A|B (Fig. S7) net10.stat Description: gene flow between terminal sister (Fig.S6) net11.stat Description: mixture scenarios. (Fig.S8)