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    <responseDate>2026-10-14T15:05:17Z</responseDate>
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    <identifier>10.57760/sciencedb.37333</identifier>
    <datestamp>2026-05-15T11:24:17Z</datestamp>
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  <dc:date>2026-05-15</dc:date>
  <dc:title>Unveiling the spectral morphological division of fast radio bursts with CHIME/FRB Catalog 2</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.37333</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset provides the machine learning classification results and the two-dimensional UMAP projection coordinates for the fast radio burst (FRB) sample analyzed in our study. The sample is based on the CHIME/FRB Catalog 2. This file allows users to identify the assigned cluster of each FRB event and locate its exact position in the UMAP embedding space.</dc:description>
  <dc:subject>CHIME/FRB; FRB; classification;  machine learning</dc:subject>
  <dc:creator>Wan-Peng Sun</dc:creator>
  <dc:creator>Yin-Long Cao</dc:creator>
  <dc:creator>Yong-Kun Zhang</dc:creator>
  <dc:creator>Ji-Guo Zhang</dc:creator>
  <dc:creator>Xiaohui Liu</dc:creator>
  <dc:creator>Yichao Li</dc:creator>
  <dc:creator>Fu-Wen Zhang</dc:creator>
  <dc:creator>Wan-Ting Hou</dc:creator>
  <dc:creator>Jing-Fei Zhang</dc:creator>
  <dc:creator>Xin Zhang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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