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    <identifier>10.57760/sciencedb.07679</identifier>
    <datestamp>2023-07-11T10:03:16Z</datestamp>
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  <dc:date>2023-07-11</dc:date>
  <dc:title>Flood Susceptibility Modelling of Karnali River Basin using Different Machine Learning Techniques</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.07679</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is the data used for flood susceptibility modeling of Karnali River Basin of Nepal based on ten flood conditioning factors. The data and flood points are used for application of machine learning algorithms for flood susceptibility mapping of Karnali River Basin. This database includes Jupyter Notebook codes for FSM using Support Vector Machine, Random Forest and Artificial Neural Network.</dc:description>
  <dc:subject>Flood Susceptibility; Karnali River Basin; Machine Learning Algorithms; Flood Conditioning Factors; Flood Study Nepal</dc:subject>
  <dc:creator>Sunil Duwal</dc:creator>
  <dc:creator>Dedi Liu</dc:creator>
  <dc:creator>Prachand Man Pradhan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/https://doi.org/10.1080/19475705.2023.2217321</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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