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        <identifier>oai:figshare.com:article/33772429</identifier>
        <datestamp>2026-09-15T07:18:21Z</datestamp>
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          <dc:title>Data and code for aesthetic appeal and perceived relaxation in bioinspired design</dc:title>
          <dc:creator>B Z (24772984)</dc:creator>
          <dc:subject>Design practice and methods</dc:subject>
          <dc:subject>Sensory processes, perception and performance</dc:subject>
          <dc:subject>Psychological methodology, design and analysis</dc:subject>
          <dc:subject>Aesthetic appeal</dc:subject>
          <dc:subject>bioinspired design strategy</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset and accompanying code support a computational secondary analysis of aesthetic appeal and perceived relaxation in bioinspired design. The deposit contains extracted numerical summaries, digitised choice proportions, image-derived geometric descriptors, analysis scripts and derived results. Analyses quantify choice discordance and relaxation-choice loss, evaluate within-outcome prediction and cross-outcome prediction transfer, and examine conveyed-emotion responses, state-anxiety effect estimates and mechanical trade-offs. Source provenance, variable definitions and reproduction instructions are included. The data comprise reconstructed and derived analytical records rather than newly collected participant-level observations. Original publication files and restricted participant-level datasets are not redistributed.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T00:00:00Z</dc:date>
          <dc:type>Dataset</dc:type>
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          <dc:identifier>10.6084/m9.figshare.33772429.v1</dc:identifier>
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