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    <responseDate>2026-10-14T13:00:49Z</responseDate>
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    <identifier>10.57760/sciencedb.36028</identifier>
    <datestamp>2026-01-22T11:16:24Z</datestamp>
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  <dc:date>2026-01-22</dc:date>
  <dc:title>An Ionization-Vibration Paired Pulse Dataset Based on Radon Source and Mechanical Excitation</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.36028</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset, the &amp;quot;An Ionization-Vibration Paired Pulse Dataset Based on Radon Source and Mechanical Excitation,&amp;quot; comprises 60,000 ionization pulses and 60,000 vibration interference pulses, specifically designed for signal classification and denoising algorithm research in radiation detection.The data were collected using a flow-mode pulse ionization chamber. Ionization signals were generated by introducing a radon source to produce &amp;alpha;-particle-induced air ionization, while vibration signals were generated under source-free conditions by mechanically tapping the table on which the ionization chamber was placed to simulate structural disturbances. All signals were amplified by a preamplifier and recorded by a high-sample-rate acquisition system.Each row of data represents an independent pulse waveform. The dataset is organized into two categories, &amp;quot;Ionization Signals&amp;quot; and &amp;quot;Vibration Signals,&amp;quot; and stored in .xlsx format files. No data are missing.</dc:description>
  <dc:subject>Radon; pulse ionization chamber; temporal convolutional network; electrical signal classification; vibration interference</dc:subject>
  <dc:creator> Feng Xiao</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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