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    <identifier>10.57760/sciencedb.012p2</identifier>
    <datestamp>2026-09-16T17:01:03Z</datestamp>
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  <dc:date>2026-09-16</dc:date>
  <dc:title>MMTENG_Source_Dara</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.012p2</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains the source data and analysis files supporting Figs. 2&amp;ndash;5 of the associated manuscript, &amp;ldquo;A self-powered magneto-mechano-triboelectric sensor for magnetic-field anomaly detection of submarine power cables.&amp;rdquo;The dataset includes processed numerical data used to generate the figures, raw time-domain voltage records exported from NI LabVIEW, a COMSOL Multiphysics model for modal analysis, and MATLAB scripts for RMS extraction, calibration fitting, sensitivity evaluation, and signal-to-noise ratio calculation. The files cover frequency-response measurements, structural-parameter optimisation, calibration and stability tests, and submarine-cable magnetic-field localisation experiments.Supplementary methodological files provide the theoretical model derivation, modal-simulation settings, and calibration and performance-metric definitions. All files are organised by figure number and figure panel. The top-level README.txt describes the directory structure, file formats, software requirements, and recommended procedure for accessing and processing the data. The data should be interpreted together with the associated manuscript and Supplementary Information.</dc:description>
  <dc:subject>magneto-mechano-triboelectric nanogenerator; self-powered sensor; submarine power cable; magnetic-field anomaly detection; triboelectric nanogenerator</dc:subject>
  <dc:creator>Yehan Zhou</dc:creator>
  <dc:creator>Zhenlong Xu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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