March 10, 2022 Software Open Access

Akash Koppa

DataCite XML Export

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  <identifier identifierType="DOI">10.5281/zenodo.6343005</identifier>
  <creators>
    <creator>
      <creatorName>Akash Koppa</creatorName>
      <affiliation>Ghent University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>akashkoppa/StressNet: Code Repository: A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2022</publicationYear>
  <dates>
    <date dateType="Issued">2022-03-10</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/6343005</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/akashkoppa/StressNet/tree/v1.0</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.6343004</relatedIdentifier>
  </relatedIdentifiers>
  <version>v1.0</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This repository contains codes used in the research article "A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation".
For an updated version and details please refer to the github repository: &lt;a href="https://github.com/akashkoppa/StressNet"&gt;https://github.com/akashkoppa/StressNet&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Queries regarding the code can be directed to: Akash Koppa, email: akash.koppa@ugent.be&lt;/p&gt;</description>
  </descriptions>
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