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.