In this experiment we simulate the mobility of individuals in New York City, London, and Tokyo, using STS-EPR. For each city, we compare the synthetic trajectories generated...

The standard deviation of the interval between QRS complexes recorded over 24 h (SDNN24) is an important metric of cardiovascular health. Wrist-worn fitness wearable devices...

How did the COVID-19 epidemics change our mobility habits, and how did it impact on people’s well-being and on the virus transmissibility? In the first webinar of the seminar...

This dataset is the origin and destination matrix among the municipalities of Tuscany extracted starting from GPS tracks of private vehicles collected from 2014-02-10 to...

Traditional statistical data on international migration suffers from the problems (gaps) of inconsistency in definitions, differences in geographical coverages, absence of...

This course is an introduction to data collection, data preparation & transformation and data analysis. It contains the essential concepts for a researcher in order to...

This method provides a Privacy Risk Assessment on mobility data, in terms of trajectories or aggregation of trajectories, i.e., locations with frequency of visit and locations...

The use of machine learning (ML) in soccer allows for the management of a large amount of data deriving from the monitoring of sessions and matches. Although the rate of...

Wrist-worn wearable devices equipped with heart rate (HR) sensors have become increasingly popular. The ability to correctly interpret the collected data is fundamental to...

This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data.

This dataset contains about 87.000 GPS tracks of private vehicles in the area of Mestre collected in August 2010.

Fighting the COVID-19 pandemic, most countries have implemented non-pharmaceutical interventions like wearing masks, physical distancing, lockdown, and travel restrictions....

The dataset contains a knowledge base built with data coming from Flickr and Wikipedia. It covers three Italian cities which are important from a sightseeing point of view and...

This dataset contains GPS trajectories provided by volunteers travelling in Tuscany from 2014-05-20 to 2014-09-30. Besides the tracks, the volunteers provided annotations about...

The dataset consists of 1.4 mln of GPS tracks of private vehicles in Tuscany in the area of Pisa. Data have been collected from 2010-12-01 to 2010-12-31.

This datataset contains simulated tracks of private cars in Milan. The dataset is generated from a real dataset of people in order to respect some general statistics and...

The dataset consists of GPS tracks of private vehicles collected in Calabria region (Italy). It counts about 28 mln of trajectories of about 115.000 users. Data are in the...

This dataset contains GPS trajectories of private vehicles crossing the region of Tuscany in Italy. It is composed of about 11 mln of trips of 150.000 users collected in May...