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    <responseDate>2026-10-12T11:59:00Z</responseDate>
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    <identifier>10.57760/sciencedb.psych.00831</identifier>
    <datestamp>2026-05-11T15:58:21Z</datestamp>
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  <dc:date>2026-05-11</dc:date>
  <dc:title>​Dataset on Effect of Example Variability on the Implicit Learning of Multiple Non-adjacent Rule</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.psych.00831</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is derived from a study exploring the Effect of Example Variability on the Implicit Learning of Multiple Non-adjacent Rule.&amp;nbsp;This dataset&amp;nbsp;serves as a supplement&amp;nbsp;to the previous dataset, including both the data and the code used for signal detection theory analysis. Please refer to the attached Readme.txt file for file description and data structure, which provides detailed information on data format, variable meanings, and code execution instructions.&amp;nbsp;This updated version also includes a supplementary report based on all test trials. Please refer to&amp;nbsp;Appendix.</dc:description>
  <dc:subject>implicit learning; variability; multiple non-adjacent rule</dc:subject>
  <dc:creator>ling xiao li</dc:creator>
  <dc:creator>Zhang Qingyun</dc:creator>
  <dc:creator>Zheng Li</dc:creator>
  <dc:creator>Guo Xiuyan</dc:creator>
  <dc:creator>Sun Peng</dc:creator>
  <dc:rights>EMBARGO</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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