Abstract
This dataset was collected as part of the InWaterSense project with a wireless sensor network (WSN) installed in a site in river Sitnica in Kosovo, as a case study for monitoring remotely, continuously and in real-time the surface water quality in Kosovo and how it can be extended to all surface waters in the country for quality assurance. Values of four water quality parameters are provided in the dataset, i.e., temperature, electrical conductivity, pH, and dissolved oxygen measured by respective static sensors of WSN in the time frame between May 2015 to beginning of January 2016 and every 10 min, counting to slightly over 100k measurement records in total. The dataset is hosted at the Mendeley Data repository (Ahmedi and Ahmedi 2021), and is related to the research article entitled "InWaterSense: An Intelligent Wireless Sensor Network for Monitoring Surface Water Quality to a River in Kosovo" (Ahmedi et al., 2018). The reuse potential of the dataset to the scientific community is widespread, from environmental engineering to artificial intelligence to the health sector just to mention few. Moreover, practitioners might benefit from this dataset in driving forth the pollution prevention policies and techniques. Data were acquired measuring water quality using static sensors installed as part of a wireless sensor network in Sitnica river in the Plemetin village near Prishtina, then transmitted to the gateway device also in Plemetin via the ZigBee protocol, and finally transmitted remotely via GPRS to the server machine in the premises of the University of Prishtina. The data received from sensors are in real-time stored in the MS SQL server.