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UrbangEnCy: An emergency events dataset based on citizen sensors for monitoring urban scenarios in Ecuador
Recently, the use of the citizen-sensors (people generating and sharing real data by social media) for detecting and disseminating emergency events in real-time have shown a considerable increase because people at the place of the event, as well as elsewhere, can quickly post relevant information on...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804594/ https://www.ncbi.nlm.nih.gov/pubmed/33490324 http://dx.doi.org/10.1016/j.dib.2020.106693 |
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author | Parraga-Alava, Jorge Alcivar-Cevallos, Roberth Vaca-Cardenas, Leticia Meza, Jaime |
author_facet | Parraga-Alava, Jorge Alcivar-Cevallos, Roberth Vaca-Cardenas, Leticia Meza, Jaime |
author_sort | Parraga-Alava, Jorge |
collection | PubMed |
description | Recently, the use of the citizen-sensors (people generating and sharing real data by social media) for detecting and disseminating emergency events in real-time have shown a considerable increase because people at the place of the event, as well as elsewhere, can quickly post relevant information on this type of alerts. Here, we present an emergency events dataset called UrbangEnCy. The dataset contains over 25500 texts in Spanish posted on Twitter from January 19th to August 19th, 2020, with emergencies and non-emergencies related content in Ecuador. We obtained, cleaned and, filtered these tweets and, then we selected the location and temporal data as well as tweet content. Besides, the data set includes annotations regarding the type of tweet (emergency / non-emergency) as well as additional nomenclature used to describe emergencies in the Center for immediate response service to emergencies (ECU 911) of Ecuador and international emergency services agencies (ESAs). UrbangEnCy dataset facilitates evaluating data science performance, machine learning, and natural language processing algorithms used with supervised and unsupervised problems re- related to text mining and pattern recognition. The dataset is freely and publicly available at https://doi.org/10.17632/4x37zz82k8. |
format | Online Article Text |
id | pubmed-7804594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-78045942021-01-22 UrbangEnCy: An emergency events dataset based on citizen sensors for monitoring urban scenarios in Ecuador Parraga-Alava, Jorge Alcivar-Cevallos, Roberth Vaca-Cardenas, Leticia Meza, Jaime Data Brief Data Article Recently, the use of the citizen-sensors (people generating and sharing real data by social media) for detecting and disseminating emergency events in real-time have shown a considerable increase because people at the place of the event, as well as elsewhere, can quickly post relevant information on this type of alerts. Here, we present an emergency events dataset called UrbangEnCy. The dataset contains over 25500 texts in Spanish posted on Twitter from January 19th to August 19th, 2020, with emergencies and non-emergencies related content in Ecuador. We obtained, cleaned and, filtered these tweets and, then we selected the location and temporal data as well as tweet content. Besides, the data set includes annotations regarding the type of tweet (emergency / non-emergency) as well as additional nomenclature used to describe emergencies in the Center for immediate response service to emergencies (ECU 911) of Ecuador and international emergency services agencies (ESAs). UrbangEnCy dataset facilitates evaluating data science performance, machine learning, and natural language processing algorithms used with supervised and unsupervised problems re- related to text mining and pattern recognition. The dataset is freely and publicly available at https://doi.org/10.17632/4x37zz82k8. Elsevier 2020-12-24 /pmc/articles/PMC7804594/ /pubmed/33490324 http://dx.doi.org/10.1016/j.dib.2020.106693 Text en © 2021 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Parraga-Alava, Jorge Alcivar-Cevallos, Roberth Vaca-Cardenas, Leticia Meza, Jaime UrbangEnCy: An emergency events dataset based on citizen sensors for monitoring urban scenarios in Ecuador |
title | UrbangEnCy: An emergency events dataset based on citizen sensors for monitoring urban scenarios in Ecuador |
title_full | UrbangEnCy: An emergency events dataset based on citizen sensors for monitoring urban scenarios in Ecuador |
title_fullStr | UrbangEnCy: An emergency events dataset based on citizen sensors for monitoring urban scenarios in Ecuador |
title_full_unstemmed | UrbangEnCy: An emergency events dataset based on citizen sensors for monitoring urban scenarios in Ecuador |
title_short | UrbangEnCy: An emergency events dataset based on citizen sensors for monitoring urban scenarios in Ecuador |
title_sort | urbangency: an emergency events dataset based on citizen sensors for monitoring urban scenarios in ecuador |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804594/ https://www.ncbi.nlm.nih.gov/pubmed/33490324 http://dx.doi.org/10.1016/j.dib.2020.106693 |
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