Data from: Soil Water Holding Capacity Mitigates Downside Risk and Volatility in US Rainfed Maize: Time to Invest in Soil Organic Matter?

This dataset includes county-level annual data on maize (Zea mays L.) yield, soil physical and chemical characteristics, and mean weather data for 2000 through 2014 for IL, MI, MN and PA. The data were aggregated from public databases, including NASS Quick Stats (https://quickstats.nass.usda.gov/), NOAA Climate Data Online (https://www.ncdc.noaa.gov/cdo-web/) and the USDA-NRCS Web Soil Survey (http://websoilsurvey.sc.egov.usda.gov/App/HomePage.htm). U.S. counties were the experimental unit for this study, and all data are county-level averages. Covariances among county-level maize yield stability and environmental variability were analyzed using structural equation models (SEM) and linear mixed effects (LME) models. Resources in this dataset:Resource Title: Maize adaptability analysis. File Name: maize_aa_all_2000 to 2014.csvResource Title: SEM data, all states. File Name: sem_all.csvResource Title: Data Dictionary. File Name: DataDictionary.csv

本数据集涵盖了2000年至2014年间伊利诺伊州、密歇根州、明尼苏达州和宾夕法尼亚州县级行政区域内玉米（Zea mays L.）产量、土壤的物理和化学特性以及平均气象数据的年度数据。数据源自公共数据库的整合，包括美国农业部国家农业统计局的快速统计（https://quickstats.nass.usda.gov/）、美国国家海洋和大气管理局的气候数据在线（https://www.ncdc.noaa.gov/cdo-web/）以及美国农业部自然资源保护局的网络土壤调查（http://websoilsurvey.sc.egov.usda.gov/App/HomePage.htm）。在本研究中，美国各县被视为实验单位，所有数据均为县级平均值。利用结构方程模型（SEM）和线性混合效应模型（LME）分析了县级行政区域玉米产量稳定性与环境变异性之间的相关性。本数据集包含以下资源：资源标题：玉米适应性分析。文件名：maize_aa_all_2000 to 2014.csv资源标题：SEM数据，所有州。文件名：sem_all.csv资源标题：数据字典。文件名：DataDictionary.csv