This dataset contains data collected through the University of Waterloo’s WeBike field trial, which includes e-bike trips and battery charging sessions spanning from summer 2014 until spring 2017. 31 participants were each given an e-bike, and the e-bikes are monitored by our custom-built kit. The Samsung Galaxy S-III smart phone provides the angular speed and acceleration in all 3 axes through Android’s standard API; Phidget voltage sensor measures the battery voltage, a Phidget current transducer measures the battery charging current, a Digikey current transducer measures the battery discharge current, and a Digikey sensor measures the temperature of the battery. The smart phones are configured the smart phones to wake up for 4 seconds every minute and collect four data samples, one per second, from all the sensors. More information can be found at: https://iss4e.ca/webike-software/ and https://iss4e.ca/webike-a-three-year-study-on-e-bikes-as-a-mode-of-sustainable-transport-in-a-canadian-city/ To identify trip activities and battery charging sessions from the raw data in webike.json, you can follow the activity detection algorithm provided in Section 4.1 of Usage Patterns of Electric Bicycles: An Analysis of the WeBike Project, (https://www.hindawi.com/journals/jat/2017/3739505/), and the scripts we used can be found at: https://github.com/iss4e.