Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Parraga-Alava, Jorge, Alcivar-Cevallos, Roberth, Vaca-Cardenas, Leticia, Meza, Jaime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
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
_version_ 1783636187311767552
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
work_keys_str_mv AT parragaalavajorge urbangencyanemergencyeventsdatasetbasedoncitizensensorsformonitoringurbanscenariosinecuador
AT alcivarcevallosroberth urbangencyanemergencyeventsdatasetbasedoncitizensensorsformonitoringurbanscenariosinecuador
AT vacacardenasleticia urbangencyanemergencyeventsdatasetbasedoncitizensensorsformonitoringurbanscenariosinecuador
AT mezajaime urbangencyanemergencyeventsdatasetbasedoncitizensensorsformonitoringurbanscenariosinecuador