Divergence among species with “good competitor” and “good cultivator” strategies promotes invasional meltdown

The file " 2025_Li_et_al._Data Archive" provides the scripts and data used to conduct the analyses in Li et al., "Divergence among species with “good competitor” and “good cultivator” strategies promotes invasional meltdown" (2025). It contains fout R script files ("Script1-Ranking Competitor Score, Cultivator Score and Figure 3", "Script1.1 -Correlation between Competitor Score and Cultivator Score", "Script 1.2-Supplementary Table 6", "Script2-Correlation between Strategic Divergence and Invasion Outcome", "Script 3-Idenfication of Key Microbial Genera for Invasional Meltdown", "Script 4_Figure 5 Regression analysis") and 18 data tables ("RawData1-Single-species Invasion Dataset.xlsx ", "RawData2-Co-invasion Dataset.xlsx", "RawData3-Invader Biomass Changed by Co-invasion.xlsx", "RawData4-Strategic Divergence Calculation.xlsx" and "Data1-Competition Index-Sterilized.csv", "Data2-Competitor Score for Invasive Species-Sterilized.csv", "Data3-OTU Dataset-Genus Level-Rarified.csv", "Data4-Distance Dataset-Genus Level.csv", "Data5-Cultivator Score for Invasive Species-Live.csv", "C Invasive biomass.xlsx", "DataSITable6-Sterilization and unsterilization biomass", "DEF Co-invasion Dataset.xlsx", "Data6-Strategic Divergence and Co-invasion Outcome.xlsx", "Data7-Microbial Transcripts Per Million-Genus Level.csv", "Data8-Invader Biomass and Competition Index-Single Invasion.csv", "Data9-Count of Increased Invasion-facilitating Microbial Classes.csv", "Data10-Count of decreased Invasion-inhibiting Microbial Classes.csv", "Fig.5 B Regression analysis.xlsx").The names of the codes and data indicate the functions and sources of the codes and data. However, it is worth noting that among the 17 datasets, there are 4 raw data, 10 calculated data, and 3 further extracted data for plotting. Among them, C Invasive biomass.xlsx, DEF Co-invasion Dataset.xlsx and Fig.5 B Regression analysis.xlsx are used for plotting.

文件"2025_Li_et_al._Data Archive"收录了Li等人2025年发表的论文《物种兼具"good competitor"与"good cultivator"策略的分化促进入侵崩溃（Divergence among species with "good competitor" and "good cultivator" strategies promotes invasional meltdown）》中分析所用的脚本与数据。该数据集包含6个R脚本文件，分别为："Script1-Ranking Competitor Score, Cultivator Score and Figure 3"（脚本1：竞争者得分（Competitor Score）、培育者得分（Cultivator Score）排序与图3）、"Script1.1 -Correlation between Competitor Score and Cultivator Score"（脚本1.1：竞争者得分与培育者得分的相关性分析）、"Script 1.2-Supplementary Table 6"（脚本1.2：补充表6）、"Script2-Correlation between Strategic Divergence and Invasion Outcome"（脚本2：策略分化（Strategic Divergence）与入侵结果的相关性分析）、"Script 3-Idenfication of Key Microbial Genera for Invasional Meltdown"（脚本3：入侵崩溃（invasional meltdown）关键微生物属的鉴定，原文拼写存在笔误，应为Identification）、"Script 4_Figure 5 Regression analysis"（脚本4：图5回归分析）；另有18份数据表格，具体包括："RawData1-Single-species Invasion Dataset.xlsx"（原始数据1：单物种入侵数据集.xlsx）、"RawData2-Co-invasion Dataset.xlsx"（原始数据2：共入侵数据集.xlsx）、"RawData3-Invader Biomass Changed by Co-invasion.xlsx"（原始数据3：共入侵下入侵种生物量变化数据集.xlsx）、"RawData4-Strategic Divergence Calculation.xlsx"（原始数据4：策略分化计算数据集.xlsx）、"Data1-Competition Index-Sterilized.csv"（数据1：灭菌组竞争指数.csv）、"Data2-Competitor Score for Invasive Species-Sterilized.csv"（数据2：灭菌组入侵种竞争者得分.csv）、"Data3-OTU Dataset-Genus Level-Rarified.csv"（数据3：抽平属水平OTU（操作分类单元，Operational Taxonomic Unit）数据集.csv）、"Data4-Distance Dataset-Genus Level.csv"（数据4：属水平距离数据集.csv）、"Data5-Cultivator Score for Invasive Species-Live.csv"（数据5：活体组入侵种培育者得分.csv）、"C Invasive biomass.xlsx"（C入侵生物量.xlsx）、"DataSITable6-Sterilization and unsterilization biomass"（数据补充表6：灭菌与未灭菌组生物量）、"DEF Co-invasion Dataset.xlsx"（DEF共入侵数据集.xlsx）、"Data6-Strategic Divergence and Co-invasion Outcome.xlsx"（数据6：策略分化与共入侵结果数据集.xlsx）、"Data7-Microbial Transcripts Per Million-Genus Level.csv"（数据7：属水平微生物每百万转录本（TPM）数据集.csv）、"Data8-Invader Biomass and Competition Index-Single Invasion.csv"（数据8：单入侵下入侵种生物量与竞争指数.csv）、"Data9-Count of Increased Invasion-facilitating Microbial Classes.csv"（数据9：入侵促进微生物类群增量统计.csv）、"Data10-Count of decreased Invasion-inhibiting Microbial Classes.csv"（数据10：入侵抑制微生物类群减量统计.csv）、"Fig.5 B Regression analysis.xlsx"（图5B回归分析.xlsx）。各脚本与数据的命名均直观体现了其功能与来源。值得注意的是，该数据集包含的17份数据可划分为三类：4份原始数据、10份计算生成数据，以及3份用于绘图的二次提取数据。其中，C Invasive biomass.xlsx、DEF Co-invasion Dataset.xlsx与Fig.5 B Regression analysis.xlsx用于绘图环节。