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    <identifier>10.57760/sciencedb.27954</identifier>
    <datestamp>2025-09-27T01:34:20Z</datestamp>
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  <dc:date>2025-09-27</dc:date>
  <dc:title>EEG Dataset for Cross-Platform Cognitive Load Assessment</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.27954</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset was collected from a cross-platform human&amp;ndash;computer interaction experiment designed to investigate cognitive load differences between PC and VR environments. A total of eight participants performed tasks at varying difficulty levels while their electroencephalography (EEG) signals were recorded. The dataset includes raw EEG files and event markers, sampled at 1000 Hz . This dataset can be applied to research on cognitive load analysis, frequency-domain modeling, multimodal human&amp;ndash;computer interaction, and signal processing algorithms.</dc:description>
  <dc:subject> cross-platform、; eeg; load cognitive</dc:subject>
  <dc:creator>JiaQiaoqiao</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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