Data from: Using perennial groundcover crops to suppress weeds and thrips in the southeast cotton belt

# Data from: Using perennial groundcover crops to suppress weeds and thrips in the southeast cotton belt This dataset was used to generate 7 figures in the publication, "Using Perennial Groundcover Crops to Suppress Weeds and Thrips in the Southeast Cotton Belt". All data was collected in Florence, South Carolina at the Clemson University Pee Dee Research and Education Center during 2021 and 2022. # Description of dataset and file structure Data is presented in an Microsoft Excel Spreadsheet, with separate tabs for datasets related to each of the 7 figures/subfigures in the published manuscript. For all data the following treatment abbreviations are used: Fallow = weedy, unplanted treatment ARG = annual ryegrass RC+WC = 50/50 mixture of red and white clover ARG+RC+WC = 50% annual ryegrass, 25% red clover, and 25% white clover **Tab 1:** These data were used to generate Figure 1, featuring mean weather data for the study years, 2021 & 2022, along with 30-year mean weather data for the nearest NOAA weather station (Florence, SC Regional Airport). Units are provided in the column headers. **Tab 2:** These data were used to generate Figures 2a and 2b, featuring the amount of summer month interrow biomass during the cotton production season. Biomass in the RC+WC and ARG+RC+WC treatments is a mix of weeds and clovers, while ARG and fallow treatments are entirely comprised of weedy biomass **Tab 3:** These data were used to generate Figures 3a and 3b, featuring the weed populations in each treatment for each year of the study. **Tab 4:** These data were used to generate Figures 4a and 4b (white clover populations among treatments for each year) and Figures 5a and 5b (red clover populations for each year). **Tab 5:** These data were used to generate Figures 6a, 6b, 6c, and 6d, featuring the mature and immature thrip populations from each year of the study. **Tab 6:** These data were used to generate Figures 7a and 7b, with the final column (lint yield kg/ha) being calculated from the previous lbs/acre values. ## Sharing Access Information These data were originated from the published manuscript: https://doi.org/10.1002/csc2.21048.