A new dataset has been added to CRAWDAD. <http://crawdad.org/columbia/kinetic/> 200 hours of accelerometer information recorded over 25 days from 5 participants. Contributed by Mina Cong, Kanghwan Kim, Maria Gorlatova, John Sarik, John Kymissis, Gil Zussman. To help us better understand the properties of various energy sources and their impact on energy harvesting adaptive algorithms, we collected acceleration traces from different participants. The volunteers were asked to perform normal daily routines while comfortably carrying SparkFun Electronics ADXL345 accelerometer boards. For our long-term studies, we collected over 200 hours of acceleration information in 25 days from 5 participants. The data simulates the natural motions that participants' belongings (keys, phone, or wallet) experience on a daily basis. Cheers, Tristan -- Tristan Henderson | School of Computer Science | University of St Andrews www: http://tristan.host.cs.st-andrews.ac.uk/ | tel: +44 1334 461637 The University of St Andrews is a charity registered in Scotland: No SC013532