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    <responseDate>2026-10-15T09:38:58Z</responseDate>
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                <identifier>oai:data.mendeley.com/v9p3xznc76.1</identifier>
                <datestamp>2026-07-17T11:04:24Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Soto-Mendoza, Valeria</dc:creator>
    <dc:title>Physiological and psychometric data on emotional dysregulation among mexican medical residents using a smartwatch</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset contains physiological, behavioral, and emotional self-report records collected from medical residents in Mexico during 15 days of real-world clinical practice. The data were captured using the Amazfit Active 2 smartwatch and validated psychometric questionnaires.

The dataset includes:
- Physiological Variables: Heart rate (per minute).
- Behavioral Variables: Daily step count and sleep stages (deep, light, REM, and awake time).
- Psychometric Variables: Anxiety and depression levels (HADS scale) and daily emotional dysregulation (DERS-E scale).

The data are organized at the participant and daily levels, allowing for time series analysis and the development of machine learning models for detecting affective states in high-stress environments.</dc:description>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Physics of Physiological Measurements</dc:subject>
    <dc:subject>Mental Health</dc:subject>
    <dc:contributor>Alvarado-Contreras, Rocio E.</dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0001-9685-3814">Pérez-Pedraza, Bárbara de los Ángeles</dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0002-1625-7084">Ruiz-y-Ruiz, Efraín</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/v9p3xznc76.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/v9p3xznc76.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2026-07-17T11:04:24Z</dc:date>
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