Multilevel Monitoring of Activity and Sleep in Healthy people (MMASH) dataset provides 24 hours of continuous beat-to-beat heart data, triaxial accelerometer data, sleep...

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...

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 dataset contains anonymized proximity information sent by 154 mobile phones (both Android and iPhone) via phone apps. These information are sent by bluetooth beacons every...

This (link to a) GPS trajectory dataset was collected in (Microsoft Research Asia) Geolife project by 182 users in a period of over three years (from April 2007 to August 2012)....

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

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...

The dataset contains twitter posts about two premier UK music festivals: Creamfields 2016 (on August 25th-28th) and VFestival 2016 (on August 20th-21st).

The experiments and results material for the micro project titled Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain

Datasets used and produced for and from the micro project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain

Methods used for the micro-project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain

Activity data from Telia telecommunications company, Finland reports the number of people dwelling in area for a certain amount of time. More precisely, activity count...

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...

Soccer & Data Cup at Expo Dubai 2020 will be a 3-days international hybrid marathon of Sport Analytics combining fundamental techniques of data analysis and Artificial...

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

The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. We developed...

In the last decade, the number of studies about machine learning algorithms applied to sports, e.g., injury forecasting and athlete performance prediction, have rapidly...

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...

We used the mobility-emission methods (https://data.d4science.org/ctlg/ResourceCatalogue/mobility-emissions) to perform experiments on real GPS trajectories describing 433,272...

The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the...