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Aalto-Twitter
The dataset consists of about 418 million of tweets from June 25, 2015 to September 19, 2015. Tweets are about trending hashtags gathered though the public Twitter api. -
Aalto-Foursquare
The dataset consists of about 15 million of tweets which point to public Foursquare check-ins. -
Open data from NervousNet
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...-
ZIP
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ZIP
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Micro Project Datasets: Academic Migration and Academic Networks
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-
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Activity data from the Covid19 period
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... -
Private Internal migration and mobile communication patterns among pairs with strong ...
Using large-scale call detail records of anonymised mobile phone service subscribers with demographic and location information, we investigate how a long-distance residential... -
Micro Project Methods: Academic Migration and Academic Networks
Methods used for the micro-project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain-
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Micro Project Experiments: Academic Migration and Academic Networks
The experiments and results material for the micro project titled Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain-
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Nowcasting well-being with human mobility data
This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data. -
A Narrative Review for a Machine Learning Application in Sports: An Example B...
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... -
SDNN24 Estimation from Semi-Continuous HR Measures
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... -
Relationship between External and Internal Workloads in Soccer Players
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... -
Estimation of Resting Heart Rate circadian rhythm
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... -
Geolet
Geolet is a Python library that offers an interpretable transformation and classification approach for trajectory data. Geolet first partitions trajectories into multiple... -
Private TraffiCO2: a simulative framework to assess navigation systems' impact on CO2...
TraffiCO2 is a simulation framework to assess the impact of GPS navigation apps on urban well-being in terms of carbon dioxide (CO2) emissions. TraffiCO2 uses GPS data to... -
Private Connected vehicle simulation framework for parking occupancy prediction
This work demonstrates a simulation framework that collects data about connected vehicles' locations and surroundings in a realistic traffic scenario. Our focus lies on the... -
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Changes of mobility routines during the COVID-19 pandemic
Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. This method allows to... -
Generating Synthetic Mobility Networks with Generative Adversarial Networks
The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the... -
Analysis of changes in visits to public venues during the COVID-19 pandemic
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...