Dataset Open Access
Koppa, Akash;
Rains, Dominik;
Hulsman, Petra;
Poyatos, Rafael;
Miralles, Diego G.
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<rdf:type rdf:resource="http://www.w3.org/ns/dcat#Dataset"/> <dct:type rdf:resource="http://purl.org/dc/dcmitype/Dataset"/> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.5886608</dct:identifier> <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.5886608"/> <dct:creator> <rdf:Description rdf:about="http://orcid.org/0000-0001-5671-0878"> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">0000-0001-5671-0878</dct:identifier> <foaf:name>Koppa, Akash</foaf:name> <foaf:givenName>Akash</foaf:givenName> <foaf:familyName>Koppa</foaf:familyName> <org:memberOf> <foaf:Organization> <foaf:name>Hydro-Climate Extremes Lab (H-CEL), Ghent University</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description rdf:about="http://orcid.org/0000-0003-0768-4209"> <rdf:type 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<foaf:name>Hydro-Climate Extremes Lab (H-CEL), Ghent University</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:title>A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2022</dct:issued> <dcat:keyword>Deep learning</dcat:keyword> <dcat:keyword>Hybrid Modeling</dcat:keyword> <dcat:keyword>Evaporation</dcat:keyword> <dcat:keyword>Evaporative Stress</dcat:keyword> <dcat:keyword>Transpiration</dcat:keyword> <dcat:keyword>GLEAM</dcat:keyword> <dcat:keyword>Machine Learning</dcat:keyword> <dcat:keyword>Earth System Modeling</dcat:keyword> <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/EC/H2020/869550/"/> <schema:funder> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/100010661</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </schema:funder> <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/EC/H2020/715254/"/> <schema:funder> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/100010661</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </schema:funder> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2022-01-21</dct:issued> <dct:language rdf:resource="http://publications.europa.eu/resource/authority/language/ENG"/> <owl:sameAs rdf:resource="https://zenodo.org/record/5886608"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/5886608</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.5220752"/> <dct:description><p>This repository contains the datasets used in the research article &quot;A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation&quot;.</p> <p>The repository contains the following files: 1) Input - contains all the processed input used for training the deep learning models and the datasets used for creating the figures in the article. 2) Output - contains the final deep learning models and the outputs (evaporation and transpiration stress factor) outputs from the hybrid model developed in the study.</p> <p>Formats: All scripts are in the programming language Python. The datasets are in HDF5 and NetCDF file formats.</p> <p>The codes related to the research article and deep learning model are available in the following repository: https://github.com/akashkoppa/StressNet</p></dct:description> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dcat:distribution> <dcat:Distribution> <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.5886608"/> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.5886608"/> <dcat:byteSize>1478247925</dcat:byteSize> <dcat:downloadURL rdf:resource="https://zenodo.org/record/5886608/files/data_figures_hybrid_paper.zip"/> <dcat:mediaType>application/zip</dcat:mediaType> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.5886608"/> <dcat:byteSize>27593519117</dcat:byteSize> <dcat:downloadURL rdf:resource="https://zenodo.org/record/5886608/files/output_hybrid_model_output.zip"/> <dcat:mediaType>application/zip</dcat:mediaType> </dcat:Distribution> </dcat:distribution> </rdf:Description> <foaf:Project rdf:about="info:eu-repo/grantAgreement/EC/H2020/869550/"> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">869550</dct:identifier> <dct:title>DOWN2EARTH: Translation of climate information into multilevel decision support for social adaptation, policy development, and resilience to water scarcity in the Horn of Africa Drylands</dct:title> <frapo:isAwardedBy> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/100010661</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </frapo:isAwardedBy> </foaf:Project> <foaf:Project rdf:about="info:eu-repo/grantAgreement/EC/H2020/715254/"> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">715254</dct:identifier> <dct:title>Do droughts self-propagate and self-intensify?</dct:title> <frapo:isAwardedBy> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/100010661</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </frapo:isAwardedBy> </foaf:Project> </rdf:RDF>
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