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    <identifier>10.57760/sciencedb.20902</identifier>
    <datestamp>2025-06-23T08:45:31Z</datestamp>
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  <dc:date>2025-06-23</dc:date>
  <dc:title>Datasets of beta-ray induced X-ray spectroscopy for tritium analysis with back propagation neural network</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.20902</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The datasets were used in the paper of &amp;ldquo;beta-ray induced X-ray spectroscopy for tritium analysis with back propagation neural network&amp;rdquo;, accepted for publication in the journal of Nuclear Science and Techniques, which include:1. Dataset for training.csv: The 420 sets of data used to train and test the BP network.2. Experimental BIXS spectra.csv: The Experimental BIXS spectra for samples 26 and 42.3. The 84 sets of data .csv: The 84 sets of data under the different levels of uncertainty added with Gaussian distribution.4. The 22 sets of data .csv: The 22 sets of data to test the generalization of the BP neural network.For more details, please see the file ReadMe.txt.</dc:description>
  <dc:subject>Tritium analysis; β-ray induced X-ray spectroscopy; Back propagation neural network; Uniformly distributed tritium; Unknown thickness; Semi-analytical</dc:subject>
  <dc:creator>Hong Huang</dc:creator>
  <dc:creator>ZHU AN</dc:creator>
  <dc:creator>Jingjun Zhu</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/https://doi.org/10.1007/s41365-025-01749-6</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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