Towards rich mobile phone datasets: Lausanne data collection campaign

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The Mobile Data Challenge: Big Data for Mobile Computing Research (2012, methodology): “An initial paper introducing LDCC, its data types and statistics early 2010 appeared in [14].”
Mining large-scale smartphone data for personality studies (2013, methodology): “In this work, we use smartphone data of 117 participants of the Lausanne data collection campaign [17], a”
Measuring Large-Scale Social Networks with High Resolution (2014, background): “The Lausanne Data Collection Campaign [32,33] featured 170 volunteers in the Lausanne area of Switzerland, between October 2009 and March 2011.”
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities (2019, methodology): “The MDC Nokia dataset includes data collected from 185 citizens using a N95 Nokia mobile phone in the Lake Geneva region in Switzerland [250].”
A Survey on Deep Learning for Human Mobility (2020, methodology): “The Mobile Data Challenge dataset (MDC) [110] describes the trajectories of 185 participants of a data collection campaign in Lausanne, collected from mobile phones [101].”
Wearable Environmental Sensors and Infrastructure for Mobile Large-Scale Urban Deployment (2016, background): “THE problem of reliable large-scale mobile urban data collection is often approached by either gaining access to data sets from cellular providers [1], or by deploying custom applications written for popular mobile platforms [2].”