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    <responseDate>2026-10-12T03:41:33Z</responseDate>
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                <identifier>oai:data.mendeley.com/jrhnfpfd64.1</identifier>
                <datestamp>2025-02-04T14:55:25Z</datestamp>
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    <dc:creator>Le Roux, JJ</dc:creator>
    <dc:title>Soil and landcover databases for SWAT+ applications in South Africa including cross-border catchment data</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The input datasets including the following. 
•	Landcover maps linked to SWAT landcover codes including South African National Landcover (2014, 2018, 2020) at 20 to 30 m resolution with 72 to 73 landcover classes, and Finer Resolution Observation and Monitoring of Global Landcover for Africa version 2 (2017) with 8 landcover classes at 30 m resolution for cross-border catchment areas.  
•	A soil map with texture and hydraulic parameter values derived from pedotransfer functions of the Land Type Database of South Africa useable at a scale of 1:250 000, as well as soil maps for cross-border catchments derived from the Soil and Agronomy Data Cube for Africa. 
</dc:description>
    <dc:subject>Big Data</dc:subject>
    <dc:subject>Southern Africa</dc:subject>
    <dc:subject>Hydrological Modeling</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/jrhnfpfd64.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/jrhnfpfd64.1</dc:identifier>
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    <dc:date>2025-02-04T14:55:25Z</dc:date>
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