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    <identifier>10.57760/sciencedb.45382</identifier>
    <datestamp>2026-09-29T16:15:54Z</datestamp>
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  <dc:date>2026-09-29</dc:date>
  <dc:title>Iwind Dataset for Intelligent Simulation</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.45382</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The deposited archive contains the complete simulation files for 336 parameterized Zwind cases under four prescribed extreme-loading scenarios: earthquake inputs of 1g and 2g and typhoon wind speeds of 40 m/s and 60 m/s. The archive includes original simulation inputs and outputs, a complete representative case, processed stress and optimal pitch-angle results, visualization outputs, post-processing scripts, execution records, and metadata supporting data verification and traceability.The archive is distributed using lossless compression and requires approximately 73 GB of disk space after extraction. In combination with the code, runnable Zwind environment, and reproduction instructions provided in the public GitHub repository, these data support independent reproduction and verification of the core natural-language-driven simulation workflow and the associated engineering analyses reported in this study.Following formal acceptance of the manuscript, the temporary review-period access restriction will be removed, and the deposited dataset will be made publicly accessible through Science Data Bank in accordance with the journal&amp;rsquo;s data-availability requirements.</dc:description>
  <dc:subject>Offshore wind energy; Physics-informed agent; Wind turbine simulation; Large language model</dc:subject>
  <dc:creator>Linjun Fu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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