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    <responseDate>2026-10-13T05:27:26Z</responseDate>
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    <identifier>10.57760/sciencedb.36979</identifier>
    <datestamp>2026-05-12T15:41:08Z</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>2026-05-12</dc:date>
  <dc:title>A dataset for UAV-borne gamma-ray spectrometry responses to radioactive plumes in nuclear accident</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.36979</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>	For the detection efficiency of the full-energy peak, the mathematical model for UAV gamma-ray spectrometry is used to calculate the full-energy peak detection efficiency for an equivalent spherical detector across all volume cells within the effective detection range for airborne radionuclides. Then, the activity concentrations obtained from the CFD dispersion mode are interpolated using the natural neighbor interpolation method, and the concentration grid was remapped according to the detection efficiency grid coordinates. The product of these two values yielded the count rate, and the variation in count rate values can be used to indicate the concentration boundaries and leakage points of the airborne radionuclides.</dc:description>
  <dc:subject>Nuclear emergency response; Computational fluid dynamics; UAV gamma-ray spectrometry; Radioactive plume; Boundary identification</dc:subject>
  <dc:creator>Jing Li</dc:creator>
  <dc:creator>Yi Gu</dc:creator>
  <dc:creator>Meng Wang</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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