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    <identifier>10.57760/sciencedb.26826</identifier>
    <datestamp>2025-12-15T14:07:26Z</datestamp>
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  <dc:date>2025-12-15</dc:date>
  <dc:title>HA419-1onogramSet-202505</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.26826</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>We introduce the first open, expert-guided ionogram dataset that is simultaneously the most comprehensive in terms of class coverage, the largest in volume, and the most extensive in temporal span.&amp;nbsp;This collection encompasses 150,000 ionograms (30,000 per class, including a &amp;ldquo;non-SF&amp;rdquo; group) spanning 14 years from 2002 to 2016, thereby capturing a diverse range of solar and geomagnetic conditions.&amp;nbsp;The attached classification SA-ResNet50 model based on this dataset could be applied to further data.</dc:description>
  <dc:subject>Ionogram;  Image  classification;  artificial neural network</dc:subject>
  <dc:creator>Gao Pengdong</dc:creator>
  <dc:creator>Zhu Qingyi</dc:creator>
  <dc:creator>Cai Jinhui</dc:creator>
  <dc:creator>Wang Zheng</dc:creator>
  <dc:creator>Wang Guojun</dc:creator>
  <dc:creator>Zhan Meiyi</dc:creator>
  <dc:creator>Qi Quan</dc:creator>
  <dc:creator>Shi Jiankui</dc:creator>
  <dc:creator>Qiu Chu</dc:creator>
  <dc:creator>Wang Bo</dc:creator>
  <dc:creator>Zhu Yajun</dc:creator>
  <dc:creator>Wang Xiao</dc:creator>
  <dc:creator>Ding Kai</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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