<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-05-31T01:57:38Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/5316" metadataPrefix="mods">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/5316</identifier><datestamp>2024-07-15T10:14:15Z</datestamp><setSpec>com_10259_5501</setSpec><setSpec>com_10259_5086</setSpec><setSpec>com_10259_2604</setSpec><setSpec>col_10259_9379</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Barrero Ahedo, Jesús P.</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>García Herrero, Susana</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Mariscal Saldaña, Miguel Ángel</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Gutiérrez Llorente, José Manuel</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2020-05-28T11:37:11Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2020-05-28T11:37:11Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2018-10</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="issn">2352-3409</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/10259/5316</mods:identifier>
<mods:identifier type="doi">10.1016/j.dib.2018.08.054</mods:identifier>
<mods:abstract>Obtaining reliable and objective data on certain working conditions is necessary to analyse the causes and variables that can influence the development of hearing loss amongst the working population. Objective occupational data have been collected from a heterogeneous sample of 1418 workers in Spain, see “How activity type, time on the job and noise level on the job affect the hearing of the working population. Using Bayesian networks to predict the development of hipoacusia” (Barrero et al., 2018) [1]. Among the main factors analysed are the noise levels to which these workers are exposed, measured at their respective workstations, and the assessment of their hearing status, evaluated by audiometric medical tests. These factors provide information to predict the development of hypoacusia.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Atribución 4.0 Internacional</mods:accessCondition>
<mods:titleInfo>
<mods:title>Data on the main working conditions with influence on the development of hearing loss amongst the occupational population in Spain</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/report</mods:genre>
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