Data underpinning research article "Sand dam contributions to year-round water security monitored through remotely sensed handpump data"

The repository contains an hourly abstraction data set collected from 26 sand dam hand pumps in Makueni and Machakos, Kenya via remote sensing, using Water Point Data Transmitters (WDT). The WDT were attached to the handles of the hand pumps in April 2019, and transmit abstraction via an SMS message, generated according to the number of times that the pump is used in an hour. The data set includes date, time, pump location, population size, and variables related to each sand dam (including, size, average distance to reach pump, and livestock usage). The variables are present in their raw form and also in their grouped form, which were used for the modelling in this study. The data was provided by Sand Dams Worldwide and has been approved for publication. The repository also contains an interview data set collected by Joanna Chan (MSc) in 2019 in Makueni and Machakos, Kenya. The interview data was collected at 30 sand dam sites. The data contains questions centred on water use behiours. This data was grouped to provide the variable data present in the abstraction data set.

本数据集仓库包含通过遥感技术，借助取水点数据传输器（Water Point Data Transmitters, WDT），从肯尼亚马库埃尼县（Makueni）和马查科斯县（Machakos）的26座沙坝手动水泵采集的逐小时取水数据集。取水点数据传输器于2019年4月安装于各手动水泵的手柄处，其根据每小时内水泵的使用次数生成短信，以此传输取水数据。该数据集包含日期、时间、水泵位置、服务人口规模，以及与各沙坝相关的变量（包括沙坝规模、到水泵的平均步行距离、牲畜用水情况）。上述变量同时保留原始格式与分组格式，本研究建模阶段采用了分组后的变量数据。本数据集由沙坝国际（Sand Dams Worldwide）提供，已获批公开出版。本仓库还收录了乔安娜·陈（理学硕士）于2019年在肯尼亚马库埃尼县和马查科斯县的30座沙坝站点采集的访谈数据集。该访谈数据围绕用水行为设计调研问题，经分组处理后生成了取水数据集中的对应变量。