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A multi-source dataset of urban life in the city of Milan and the Province of Trentino

The study of socio-technical systems has been revolutionized by the unprecedented amount of digital records that are constantly being produced by human activities such as accessing Internet services, using mobile devices, and consuming energy and knowledge. In this paper, we describe the richest ope...

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Autores principales: Barlacchi, Gianni, De Nadai, Marco, Larcher, Roberto, Casella, Antonio, Chitic, Cristiana, Torrisi, Giovanni, Antonelli, Fabrizio, Vespignani, Alessandro, Pentland, Alex, Lepri, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4622222/
https://www.ncbi.nlm.nih.gov/pubmed/26528394
http://dx.doi.org/10.1038/sdata.2015.55
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author Barlacchi, Gianni
De Nadai, Marco
Larcher, Roberto
Casella, Antonio
Chitic, Cristiana
Torrisi, Giovanni
Antonelli, Fabrizio
Vespignani, Alessandro
Pentland, Alex
Lepri, Bruno
author_facet Barlacchi, Gianni
De Nadai, Marco
Larcher, Roberto
Casella, Antonio
Chitic, Cristiana
Torrisi, Giovanni
Antonelli, Fabrizio
Vespignani, Alessandro
Pentland, Alex
Lepri, Bruno
author_sort Barlacchi, Gianni
collection PubMed
description The study of socio-technical systems has been revolutionized by the unprecedented amount of digital records that are constantly being produced by human activities such as accessing Internet services, using mobile devices, and consuming energy and knowledge. In this paper, we describe the richest open multi-source dataset ever released on two geographical areas. The dataset is composed of telecommunications, weather, news, social networks and electricity data from the city of Milan and the Province of Trentino. The unique multi-source composition of the dataset makes it an ideal testbed for methodologies and approaches aimed at tackling a wide range of problems including energy consumption, mobility planning, tourist and migrant flows, urban structures and interactions, event detection, urban well-being and many others.
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spelling pubmed-46222222015-11-02 A multi-source dataset of urban life in the city of Milan and the Province of Trentino Barlacchi, Gianni De Nadai, Marco Larcher, Roberto Casella, Antonio Chitic, Cristiana Torrisi, Giovanni Antonelli, Fabrizio Vespignani, Alessandro Pentland, Alex Lepri, Bruno Sci Data Data Descriptor The study of socio-technical systems has been revolutionized by the unprecedented amount of digital records that are constantly being produced by human activities such as accessing Internet services, using mobile devices, and consuming energy and knowledge. In this paper, we describe the richest open multi-source dataset ever released on two geographical areas. The dataset is composed of telecommunications, weather, news, social networks and electricity data from the city of Milan and the Province of Trentino. The unique multi-source composition of the dataset makes it an ideal testbed for methodologies and approaches aimed at tackling a wide range of problems including energy consumption, mobility planning, tourist and migrant flows, urban structures and interactions, event detection, urban well-being and many others. Nature Publishing Group 2015-10-27 /pmc/articles/PMC4622222/ /pubmed/26528394 http://dx.doi.org/10.1038/sdata.2015.55 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.
spellingShingle Data Descriptor
Barlacchi, Gianni
De Nadai, Marco
Larcher, Roberto
Casella, Antonio
Chitic, Cristiana
Torrisi, Giovanni
Antonelli, Fabrizio
Vespignani, Alessandro
Pentland, Alex
Lepri, Bruno
A multi-source dataset of urban life in the city of Milan and the Province of Trentino
title A multi-source dataset of urban life in the city of Milan and the Province of Trentino
title_full A multi-source dataset of urban life in the city of Milan and the Province of Trentino
title_fullStr A multi-source dataset of urban life in the city of Milan and the Province of Trentino
title_full_unstemmed A multi-source dataset of urban life in the city of Milan and the Province of Trentino
title_short A multi-source dataset of urban life in the city of Milan and the Province of Trentino
title_sort multi-source dataset of urban life in the city of milan and the province of trentino
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4622222/
https://www.ncbi.nlm.nih.gov/pubmed/26528394
http://dx.doi.org/10.1038/sdata.2015.55
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