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    <responseDate>2026-10-12T22:49:14Z</responseDate>
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    <identifier>10.57760/sciencedb.j00186.01238</identifier>
    <datestamp>2026-08-19T14:02:49Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-08-19</dc:date>
  <dc:title>Dataset for Transmission-Source-Free Gamma Scanning of Radioactive Waste Drums Based on Deep Learning</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00186.01238</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset supports radionuclide identification and source localization in radioactive waste drums. It contains Geant4-simulated gamma-ray spectra for 14-voxel and 36-voxel models, together with 144 measured NaI(Tl) spectra of Cs-137, Eu-152, and Co-60. Data-processing, model-training, cross-validation, detector-direction analysis code, and reference results are also provided.</dc:description>
  <dc:subject>Gamma-ray spectrum; Radioactive waste drum; Radionuclide identification; Source localization; Deep learning</dc:subject>
  <dc:creator>Zhang Qian</dc:creator>
  <dc:creator>Wang Lei</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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