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                <identifier>oai:data.mendeley.com/xj8wgsd9fr.1</identifier>
                <datestamp>2025-02-17T17:44:44Z</datestamp>
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    <dc:creator>liu, jianwei</dc:creator>
    <dc:title>Identifying the driving factors of soil nitrate nitrogen via multiple machine learning models and GIS in an intensive plain agricultural area, China</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The dataset is composed of various covariants that influence content of soil nitrate nitrogen in a agricultrual area in North China Plain, includes N fertilizer input, physicochemical properties of soil, distance factors, remote sensing factors, etc., the data is presented in a Excel format.</dc:description>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Nitrogen</dc:subject>
    <dc:subject>Agricultural Soil</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/xj8wgsd9fr.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/xj8wgsd9fr.1</dc:identifier>
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    <dc:date>2025-02-17T17:44:44Z</dc:date>
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