This dataset contains shower consumption data from individuals participating in Trial A of the FP7 project DAIAD. The dataset has been generated by DAIAD@feel sensors used in households in Alicante, Spain. The data has been stored on the DAIAD@feel sensors and has been uploaded by the household members by using a mobile application. The dataset comprises two parts.

Trial A: The dataset comprises 10,729 shower events from 125 devices (39 households own two devices and two households own three devices) from Alicante Trial A participants. The first recorded shower event is from March, 15 2016 and the last one from February, 28 2017. There are historical and real-time shower events that were transferred while using the application. Real-time shower data represents aggregated information about an ongoing shower which is updated every second. Alternating with the real-time data transfer, historical data on previous showers is also transferred. Data transfer is initiated anytime when the mobile application is connected to the amphiro b1. In comparison to the time series data, the event-based data set only represents. Each shower event contains the total volume and energy consumed, water temperature, of a shower. On average, there are 90 shower events per device. Real-time showers representιing 32% of the data set.

Extended Trial A: The dataset comprises 602 shower events for 26 devices (4 households own two devices) from Alicante Extended Trial A participants. The first recorded shower event of the trial is from March, 1 2017 and the last one from June, 14 2017. On average, there are 32 shower events per device, with real-time showers represent 21% of the data set.

More details for the dataset can be found in the D7.3 Deliverable of the project DAIAD (http://daiad.eu/wp-content/uploads/2017/11/D7.3_Trials_Evaluation_v1.0.pdf).