Exposure factors through cassava, maize, rice, tomato, and yam diets

The study data was collected in the western regions of Ghana where gold mining activities are rampant. The specific cities where where respondents were sampled are Akontombra, Asafo, Bibiani, Bodi, Joaboso, Sefwi Bekwai, and Wiawso. The exposure factors through cassava, maize, rice, tomato, and yam diets were determined using dietary recall survey. The exposure factors were exposure frequency, exposure duration, mass of food and consumers' body weight. The body weight of consumers of consumers were measured using a balance. In all 308 consumers responded positively to the survey. Following US EPA guidance, The @Risk (Palisade, 2018) was used to fit the exposure factors to distribution in MS Excel (Microsoft Office 2016). This data set consists of the minimum, maximum, mode, mean, 5th and 95th percentiles of commonly consumed indigenous diets. The distribution parameters were reported in this dataset.本研究数据采集于加纳西部黄金采矿活动猖獗的区域。受访者抽样的具体城市包括阿孔通布拉（Akontombra）、阿萨福（Asafo）、比比亚尼（Bibiani）、博迪（Bodi）、乔巴索（Joaboso）、塞夫维·贝夸伊（Sefwi Bekwai）以及维阿武索（Wiawso）。通过膳食回顾调查，明确了受试者在食用木薯、玉米、大米、番茄及山药时的膳食暴露因子，该类暴露因子涵盖暴露频率、暴露时长、食物摄入量及消费者体重。消费者的体重经体重秤实测获得。本次调查共回收有效问卷308份。参照美国环境保护署（US EPA）的指导规范，研究借助@Risk（Palisade，2018）软件结合Microsoft Excel（Microsoft Office 2016）将各暴露因子拟合为分布模型。本数据集包含常见本土膳食的最小值、最大值、众数、均值以及5%和95%分位数，且已报告相关分布参数。