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    <responseDate>2026-10-14T13:00:46Z</responseDate>
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    <identifier>10.57760/sciencedb.01015</identifier>
    <datestamp>2026-08-24T15:18:44Z</datestamp>
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  <dc:date>2026-08-24</dc:date>
  <dc:title>Processed Eye Lens Dose Data for Machine Learning Applications: Photon and Neutron Results with Angular, Positional, and Uncertainty Information</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.01015</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains processed eye lens dose estimates for occupational exposure scenarios, derived from both photon and neutron radiation fields. The data are specifically formatted for machine learning applications, featuring input features such as incident angle, source-to-eye position, and particle type, alongside corresponding dose values and associated calculation uncertainties. All data have been preprocessed and cleaned to facilitate direct use in training and validation of surrogate models for rapid dose prediction.</dc:description>
  <dc:subject>eye lens; machine learning; monte carlo</dc:subject>
  <dc:creator>Chen Jialu</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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