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      <dc:title>Aerosol type classification with machine learning techniques applied to multiwavelength lidar data from EARLINET</dc:title>
      <dc:creator>del Águila, Ana</dc:creator>
      <dc:creator>Ortiz Amezcua, Pablo</dc:creator>
      <dc:creator>Tabik, Siham</dc:creator>
      <dc:creator>Bravo Aranda, Juan Antonio</dc:creator>
      <dc:creator>Fernández Carvelo, Sol</dc:creator>
      <dc:creator>Alados Arboledas, Lucas</dc:creator>
      <dc:date>2025-10-21T10:38:44Z</dc:date>
      <dc:date>2025-10-21T10:38:44Z</dc:date>
      <dc:date>2025-10-09</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>https://hdl.handle.net/10481/107237</dc:identifier>
      <dc:identifier>https://doi.org/10.5194/acp-25-12549-2025</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dc:rights>
      <dc:publisher>Eduardo Landulfo</dc:publisher>
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