D-Net

import eu.dnetlib.data.transform.Ontologies;

import eu.dnetlib.data.transform.OntologyLoader;

    public static Ontologies ontologies;

    public static String getInverse(final String relation) throws Exception {

        if (ontologies == null) {

            ontologies = OntologyLoader.loadOntologiesFromIS();

        }

        final String normalizedRelation = normalizeRelation(relation);

        try {

            return ontologies.getTerms(normalizedRelation).stream().findFirst().get().getInverseCode();

        } catch (Throwable e) {

            System.out.println("Relation not found = " + normalizedRelation);

            return "related";

        }

    }

    public static String normalizeRelation(final String relation) {

        if (relation == null || StringUtils.isEmpty(relation)) {

            return null;

        }

        return Character.toLowerCase(relation.charAt(0)) + relation.substring(1);

    }

        final ResolvedObject openaire = openAireResolver.retrievePID("10.1126/science.1141038", "DOI");

        System.out.println(openaire.toJsonString());

        final ResolvedObject doi_stored = store.getRecord("10.1126/science.1141038", "doi");

        System.out.println(doi_stored.getType());

//        final Gson g = new GsonBuilder().setPrettyPrinting().create();

//        System.out.println("g.toJson(openaire) = " + g.toJson(openaire));

import org.junit.Assert;

        Assert.assertNotNull(resolvedObject.getType());

        <dri:objIdentifier>copernicuspu::6787bb333c2859a32b7253837b8d5198</dri:objIdentifier>

        <dri:dateOfCollection>2017-03-21T13:10:17.801Z</dri:dateOfCollection>

        <dri:dateOfTransformation>2017-10-01T10:30:31.465Z</dri:dateOfTransformation>

            <counter_similarity_inferred value="4"/>

            <counter_authorship value="2"/>

            <counter_similarity value="4"/>

            <counter_authorship_inferred value="2"/>

                <journal issn="1866-3516" eissn="1866-3516" lissn="" ep="" iss="" sp="" vol=""/>

                <dateofacceptance>2017-01-20</dateofacceptance>

                <description>Land surface reflectance is not isotropic. It varies with the

                    observation geometry that is defined by the sun, view zenith angles, and the

                    relative azimuth. In addition, the reflectance is linearly polarized. The

                    reflectance anisotropy is quantified by the bidirectional reflectance

                    distribution function (BRDF), while its polarization properties are defined by

                    the bidirectional polarization distribution function (BPDF). The POLDER

                    radiometer that flew onboard the PARASOL microsatellite remains the only space

                    instrument that measured numerous samples of the BRDF and BPDF of Earth targets.

                    <br><br> Here, we describe a database of representative BRDFs and BPDFs

                    derived from the POLDER measurements. From the huge number of data acquired by

                    the spaceborne instrument over a period of 7 years, we selected a set of targets

                    with high-quality observations. The selection aimed for a large number of

                    observations, free of significant cloud or aerosol contamination, acquired in

                    diverse observation geometries with a focus on the backscatter direction that

                    shows the specific hot spot signature. The targets are sorted according to the

                    16-class International Geosphere-Biosphere Programme (IGBP) land cover

                    classification system, and the target selection aims at a spatial

                    representativeness within the class. The database thus provides a set of

                    high-quality BRDF and BPDF samples that can be used to assess the typical

                    variability of natural surface reflectances or to evaluate models. It is

                    available freely from the PANGAEA website (<a

                    href="http://dx.doi.org/10.1594/PANGAEA.864090"

                    target="_blank">doi:10.1594/PANGAEA.864090</a>). <br><br> In addition

                    to the database, we provide a visualization and analysis tool based on the

                    Interactive Data Language (IDL). It allows an interactive analysis of the

                    measurements and a comparison against various BRDF and BPDF analytical models.

                    The present paper describes the input data, the selection principles, the

                    database format, and the analysis tool</description>

                <resulttype classid="publication" classname="publication"

                            schemeid="dnet:result_typologies" schemename="dnet:result_typologies"/>

                <fulltext>file:///mnt/uploaded_dumps/copernicus/upload/essd-9-31-2017.pdf</fulltext>

                <source>eISSN: 1866-3516</source>

                       schemename="dnet:dataCite_title">A BRDF–BPDF database for the analysis of Earth

                    target reflectances</title>

                <language classid="eng" classname="English" schemeid="dnet:languages"

                <format>application/pdf</format>

                <subject classid="" classname="" schemeid="" schemename=""/>

                <embargoenddate/>

                <collectedfrom name="Copernicus Publications"

                               id="openaire____::5a38cb462ac487bf26bdb86009fe3e74"/>

                     schemename="dnet:pid_types">10.5194/essd-9-31-2017</pid>

                <originalId>oai:publications.copernicus.org:essd54489</originalId>

                        >dedup_wf_001::22a49ba3a9202ed679b9a057dae0b685</to>

                        <ranking>2</ranking>

                        <fullname>Maignan, Fabienne</fullname>

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                        <type>STANDARD</type>

                        <similarity>0.8317553</similarity>

                        <dateofacceptance>2013-07-01</dateofacceptance>

                        <publisher>HAL CCSD</publisher>

                        <resulttype classid="publication" classname="publication"

                                    schemeid="dnet:result_typologies" schemename="dnet:result_typologies"/>

                        <title classid="main title" classname="main title"

                               schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">BPDF:

                            Boolean Parametric Data Flow</title>

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                        <similarity>0.8317553</similarity>

                        <dateofacceptance>2013-07-01</dateofacceptance>

                        <publisher>HAL CCSD</publisher>

                        <resulttype classid="publication" classname="publication"

                                    schemeid="dnet:result_typologies" schemename="dnet:result_typologies"/>

                        <title classid="main title" classname="main title"

                               schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">BPDF:

                            Boolean Parametric Data Flow</title>

                    </rel>

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                         inferenceprovenance="iis::document_similarities_standard"

                         provenanceaction="iis">

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                        <type>STANDARD</type>

                        <similarity>0.9035098</similarity>

                        <dateofacceptance>2015-02-26</dateofacceptance>

                        <publisher>HAL CCSD</publisher>

                        <resulttype classid="publication" classname="publication"

                                    schemeid="dnet:result_typologies" schemename="dnet:result_typologies"/>

                        <title classid="main title" classname="main title"

                               schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">Modèles

                            de calculs flot de données avec paramètres entiers et booléens.

                            Modélisation - Analyses - Mise en oeuvre</title>

                    </rel>

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                        <similarity>0.9035098</similarity>

                        <dateofacceptance>2015-02-26</dateofacceptance>

                        <publisher>HAL CCSD</publisher>

                        <resulttype classid="publication" classname="publication"

                                    schemeid="dnet:result_typologies" schemename="dnet:result_typologies"/>

                        <title classid="main title" classname="main title"

                               schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">Modèles

                            de calculs flot de données avec paramètres entiers et booléens.

                            Modélisation - Analyses - Mise en oeuvre</title>

                    </rel>

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                        <ranking>1</ranking>

                        <fullname>Breon, Francois-Marie</fullname>

                    <instance id="copernicuspu::2b81d254a9b19941155ce59c64d3e4d0">

                        <hostedby name="Earth System Science Data (ESSD)"

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                                      schemeid="dnet:publication_resource"

                                      schemename="dnet:publication_resource"/>

                            <url>http://www.earth-syst-sci-data.net/9/31/2017/</url>

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                       provenance="iis::document_referencedDocuments" trust="0.9">

                <citations>

                    <citation position="1">

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                    <creatorName>Bréon, François-Marie</creatorName>

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                <title>A BRDF-BPDF database for the analysis of Earth targets reflectances, supplement to: Bréon, François-Marie; Maignan, Fabienne (2016): A BRDF-BPDF database for the analysis of Earth targets reflectances. Earth System Science Data, 9, 31-45</title>

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            <publicationYear>2016</publicationYear>

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                    <contributorName>Laboratoire des sciences du climat et de l'environnement, Saclay</contributorName>

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                <description descriptionType="Abstract">A database of representative BRDF and BPDF derived from the POLDER measurements. From the huge amount of data acquired by the spaceborne instrument over a period of 7 years, we selected a set of targets with high quality observations. The selection aimed at a large number of observations, free of cloud or aerosol contamination, acquired in diverse observation geometry with a focus on the backscatter direction that shows the specific Hot-Spot signature. The targets are sorted according to the 16-classes IGBP land cover classification system and the target selection aims at a spatial representativeness within the class. The database thus provides a set of high quality BRDF and BPDF samples that can be used to assess the typical variability of natural surface reflectances or to evaluate models.</description>

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