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  "authors": [
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  "authors": [
            
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    {
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    {
            
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      "author_department": "Department of Geography",
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      "author_department": "Department of Geography",
            
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      "author_email": "LeRouxJJ@ufs.ac.za",
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      "author_email": "LeRouxJJ@ufs.ac.za",
            
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      "author_name": "Jay",
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      "author_name": "Jay",
            
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      "author_surname": "le Roux",
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      "author_surname": "le Roux",
            
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  "did_author_or_contact_organization_collect_the_data": "true",
            
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  "email": "vanderlaanm@arc.agric.za",
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  "email": "vanderlaanm@arc.agric.za",
            
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  "extras": [
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      "key": "cloud_path",
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      "key": "cloud_path",
            
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      "value": 
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      "value": 
            
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    {
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    {
            
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      "key": "recommended_citation",
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      "key": "recommended_citation",
            
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      "value": "Le Roux J, Mararakanye N, Mudaly L, Harold W, Van Der 
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      "value": "Le Roux J, Mararakanye N, Mudaly L, Harold W, Van Der 
            
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Laan M (2022) Development Of A South African National Input Database 
46
Laan M (2022) Development Of A South African National Input Database 
            
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To Run The SWAT Model In A GIS. WRC Project C2019-2020-00089, 
47
To Run The SWAT Model In A GIS. WRC Project C2019-2020-00089, 
            
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Pretoria, South Africa."
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Pretoria, South Africa."
            
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    }
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    }
            
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  "isopen": false,
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  "isopen": false,
            
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  "keywords": "HAMSA, SWAT, HAWQS, land cover, 2013, 2018, 2020",
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  "keywords": "HAMSA, SWAT, HAWQS, land cover, 2013, 2018, 2020",
            
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  "license": "Open (Creative Commons)",
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  "license": "Open (Creative Commons)",
            
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  "license_id": null,
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  "license_id": null,
            
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  "license_title": null,
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      "minimum_vertical_extent": "50"
            
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    }
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  ],
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  "name": 
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  "name": 
            
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tional-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps",
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tional-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps",
            
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  "notes": "This WRC Funded Study Collated Multiple Geo-Spatial 
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  "notes": "This WRC Funded Study Collated Multiple Geo-Spatial 
            
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Datasets At A National Scale And Interpreted/Formatted The Data For 
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Datasets At A National Scale And Interpreted/Formatted The Data For 
            
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Use As Baseline Input To Run The Soil And Water Assessment Tool (SWAT) 
72
Use As Baseline Input To Run The Soil And Water Assessment Tool (SWAT) 
            
73
In Any Catchment In SA. ArcSWAT Is A Graphical User Interface For SWAT 
73
In Any Catchment In SA. ArcSWAT Is A Graphical User Interface For SWAT 
            
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And ArcGIS\u00ae Software Extension, Streamlining Access To Key 
74
And ArcGIS\u00ae Software Extension, Streamlining Access To Key 
            
75
Databases And Facilitating The Preparation Of Input Datasets. These 
75
Databases And Facilitating The Preparation Of Input Datasets. These 
            
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Layers Can Also Be Used In QGIS And QSWAT.",
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Layers Can Also Be Used In QGIS And QSWAT.",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2022-05-27T07:36:11.550754",
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    "created": "2022-05-27T07:36:11.550754",
            
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    "description": "The University of the Free State (UFS) creates 
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    "description": "The University of the Free State (UFS) creates 
            
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opportunities and growth through leading learning and teaching, 
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opportunities and growth through leading learning and teaching, 
            
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focused research, and impactful engagement with society. Situated in 
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focused research, and impactful engagement with society. Situated in 
            
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the heart of South Africa, our character of caring and diversity 
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the heart of South Africa, our character of caring and diversity 
            
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translates into an outstanding university experience.",
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translates into an outstanding university experience.",
            
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    "title": "University of the Free State",
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  "publication_date": "2022-02-01",
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  "publication_date": "2022-02-01",
            
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  "publisher": "Water Research Commission",
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      "dataset_description": "National land cover map for South Africa 
            
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for 2013 and SWAT codes.",
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for 2013 and SWAT codes.",
            
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      "dataset_description": "National land cover map for South Africa 

            
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for 2020 and SWAT codes. Prepared after the completion of the original 

            
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project by Mr Harold Weepener at the ARC.",

            
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  "tags": [],
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  "tags": [],
            
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  "title": "A SOUTH AFRICAN NATIONAL INPUT DATABASE TO RUN THE SWAT 
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  "title": "A SOUTH AFRICAN NATIONAL INPUT DATABASE TO RUN THE SWAT 
            
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MODEL IN A GIS (land cover maps)",
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MODEL IN A GIS (land cover maps)",
            
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  "wrc_project_number": "WRC Project C2019-2020-00089",
            
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  "wro_theme": "hydrological_data_and_modelling"
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}
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}