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    <responseDate>2026-10-16T01:09:16Z</responseDate>
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                <identifier>oai:data.mendeley.com/swk97wxzzg.4</identifier>
                <datestamp>2026-08-03T13:26:59Z</datestamp>
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    <dc:creator>Appels, Jiao-Ling</dc:creator>
    <dc:title>Classifying Dog Emotions from Facial Expressions: Automated Facial Landmark Analysis vs. Manual Coding</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset contains behavioural and facial landmark data from dogs recorded during a firework situation and a control evening without fireworks.
The Excel sheet includes manually coded behaviours based on a predefined ethogram, along with descriptions of all variables used in the analysis. Additionally, two ZIP folders contain CSV files with facial landmark coordinates extracted from video frames. These datasets were analysed using two Python scripts, each corresponding to one analytical approach: (1) manual facial behaviour coding and (2) automated facial landmark analysis.</dc:description>
    <dc:subject>Animal Welfare</dc:subject>
    <dc:subject>Behavior Coding</dc:subject>
    <dc:subject>Applied Machine Learning</dc:subject>
    <dc:contributor>Martvel, George</dc:contributor>
    <dc:contributor>Zamansky, Anna</dc:contributor>
    <dc:contributor>Riemer, Stefanie</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/swk97wxzzg.4</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/swk97wxzzg.4</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2026-08-03T13:26:59Z</dc:date>
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