Daily handpump accelerometer data and borehole water level data, Kwale County, Kenya (NERC grant NE/M008894/1)

(I) Handpump Vibration Data For each handpump, data is organized in one CSV file per day. These files are grouped together over batches, where each batch approximately corresponds to three months. (II) Borehole Water Level Data Water level data at the borehole of each handpump is recorded in one CSV file per handpump. Both uncompensated (raw) and compensated (with respect to atmospheric pressure) data are available. (III) Data Time Logs A separate Excel file lists the locations of the monitoring sites and the time logs corresponding to both (I) and (II) per handpump. References: [1] P. Thomson, R. Hope, and T. Foster, “GSM-enabled remote monitoring of rural handpumps: a proof-of-concept study,” Journal of Hydroinformatics, vol. 14, no. 4, pp. 829–839, 05 2012. [Online]. Available: https://doi.org/10.2166/hydro.2012.183 [2] F. Colchester, “Smart handpumps: a preliminary data analysis,” IET Conference Proceedings, pp. 7–7(1). [Online]. Available: https://digital-library.theiet.org/content/conferences/10.1049/cp.2014.0767 [3] H. Greeff, A. Manandhar, P. Thomson, R. Hope, and D. A. Clifton, “Distributed inference condition monitoring system for rural infrastructure in the developing world,” IEEE Sensors Journal, vol. 19, no. 5, pp.1820–1828, March 2019. [4] F. E. Colchester, H. G. Marais, P. Thomson, R. Hope, and D. A. Clifton, “Accidental infrastructure for groundwater monitoring in africa,” Environmental Modelling Software, vol. 91, pp. 241 – 250, 2017. [Online]. Available:http://www.sciencedirect.com/science/article/pii/S1364815216308325 [5] A. Manandhar, H. Greeff, P. Thomson, R. Hope, and D. A. Clifton, “Shallow Aquifer Monitoring Using Handpump Vibration Data,” In-review, 2019.

（I）手动泵振动数据：针对每台手动泵，数据按日组织，每日数据存储于一个单独的 CSV 文件中。这些文件按批次分组，每批次的文件大致对应三个月的时间范围。（II）井孔水位数据：每台手动泵的井孔水位数据以 CSV 文件的形式记录，包括未补偿（原始）数据和补偿（相对于大气压力）数据。（III）数据时间日志：一个独立的 Excel 文件列出了监测站点的位置以及每台手动泵对应（I）和（II）的时间日志。参考文献：[1] P. Thomson, R. Hope, 和 T. Foster, “基于 GSM 的农村手动泵远程监控：一项概念验证研究，”《水文信息学杂志》，第 14 卷，第 4 期，第 829–839 页，2012 年 5 月。[在线]. 可用：https://doi.org/10.2166/hydro.2012.183 [2] F. Colchester， “智能手动泵：初步数据分析，”《IET 会议论文集》，第 7–7(1) 页。[在线]. 可用：https://digital-library.theiet.org/content/conferences/10.1049/cp.2014.0767 [3] H. Greeff, A. Manandhar, P. Thomson, R. Hope, 和 D. A. Clifton， “发展中国家农村基础设施的分布式推理条件监测系统，”《IEEE 传感器杂志》，第 19 卷，第 5 期，第 1820–1828 页，2019 年 3 月。[4] F. E. Colchester, H. G. Marais, P. Thomson, R. Hope, 和 D. A. Clifton， “非洲地下水监测的意外基础设施，”《环境建模软件》，第 91 卷，第 241 – 250 页，2017 年。[在线]. 可用：http://www.sciencedirect.com/science/article/pii/S1364815216308325 [5] A. Manandhar, H. Greeff, P. Thomson, R. Hope, 和 D. A. Clifton， “利用手动泵振动数据进行浅层蓄水层监测，”正在审稿中，2019 年。