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    <responseDate>2026-10-13T04:08:43Z</responseDate>
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    <identifier>10.57760/sciencedb.31921</identifier>
    <datestamp>2026-03-29T19:46:39Z</datestamp>
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  <dc:date>2026-03-29</dc:date>
  <dc:title>TCM-MS2Link: A Unified AI-Ready Dataset Integrating TCM Herb&amp;ndash;Compound Knowledge and MS/MS Spectral Data</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.31921</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset adopts a dual-layer &amp;ldquo;knowledge&amp;ndash;data&amp;rdquo; architecture: the first layer, TCM-MolLink, comprises curated herb&amp;ndash;compound association data, constructed through the integration of multiple heterogeneous databases and rigorous consistency filtering to establish high-confidence relationships between TCM herbs and their chemical constituents; the second layer, MS2-MLReady, is a benchmark dataset for mass spectrometry&amp;ndash;based machine learning, which, after systematic data cleaning, standardized preprocessing, and well-designed data partitioning, can directly support the training and evaluation of artificial intelligence models.</dc:description>
  <dc:subject>AI-ready mass spectrometry dataset; Herb–compound association; Structured data integration; Spectral data preprocessing; Machine learning benchmarking dataset</dc:subject>
  <dc:creator>Qianjin Li</dc:creator>
  <dc:creator>Feifan Zhao</dc:creator>
  <dc:creator>Xingchuang Xiong</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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