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) 手动泵振动数据集。针对每台手动泵，每日数据以单个CSV（Comma-Separated Values，逗号分隔值）文件存储。此类文件按批次分组，每批次大致对应三个月的时长。 (II) 钻孔水位数据集。每台手动泵对应的钻孔水位数据以单个CSV文件存储，同时提供未校正（原始）与经大气压力校正后的两类数据。 (III) 数据时间日志。另有一份独立Excel文件，列明各监测站点的位置，以及对应上述(I)、(II)两类数据的每台手动泵的时间日志。 参考文献： [1] P. Thomson、R. Hope与T. Foster，《支持GSM的乡村手动泵远程监测：概念验证研究》，《水信息学杂志》，第14卷第4期，第829–839页，2012年5月。[在线]. 可获取：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]. 可获取：https://digital-library.theiet.org/content/conferences/10.1049/cp.2014.0767 [3] H. Greeff、A. Manandhar、P. Thomson、R. Hope与D. A. Clifton，《面向发展中国家乡村基础设施的分布式推理状态监测系统》，《IEEE传感器期刊》，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与D. A. Clifton，《非洲地下水监测的偶然基础设施》，《环境建模与软件》，第91卷，第241–250页，2017年。[在线]. 可获取：http://www.sciencedirect.com/science/article/pii/S1364815216308325 [5] A. Manandhar、H. Greeff、P. Thomson、R. Hope与D. A. Clifton，《利用手动泵振动数据进行浅层含水层监测》，（审稿中），2019年。