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  "agreement": "true",
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  "agreement": "true",
            
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  "alternative_identifier": 
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  "alternative_identifier": 
            
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"http://dx.doi.org/10.17159/2309-8775/2023/v65n4a1",
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"http://dx.doi.org/10.17159/2309-8775/2023/v65n4a1",
            
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  "author": null,
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  "author_email": null,
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  "author_email": null,
            
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  "authors": [
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  "authors": [
            
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    {
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    {
            
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      "author_department": "School of Bioresources Engineering and 
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      "author_department": "School of Bioresources Engineering and 
            
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Environmental Hydrology (formerly Department of Agricultural 
10
Environmental Hydrology (formerly Department of Agricultural 
            
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Engineering)",
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Engineering)",
            
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      "author_email": "schulzer@ukzn.ac.za",
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      "author_email": "schulzer@ukzn.ac.za",
            
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      "author_name": "Roland ",
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      "author_name": "Roland ",
            
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      "author_organization": "University of KwaZulu-Natal",
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      "author_organization": "University of KwaZulu-Natal",
            
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      "author_surname": "Schulze",
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      "author_surname": "Schulze",
            
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      "contact_same_as_author": "True"
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      "contact_same_as_author": "True"
            
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    }
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    }
            
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  ],
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  ],
            
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  "citation_title": "SCHULZE, R.E. (Ed.) (2007) South African Atlas of 
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  "citation_title": "SCHULZE, R.E. (Ed.) (2007) South African Atlas of 
            
20
Climatology and Agrohydrology. WRC Report 1489/1/06, Water Research 
20
Climatology and Agrohydrology. WRC Report 1489/1/06, Water Research 
            
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Commission, Pretoria, RSA.",
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Commission, Pretoria, RSA.",
            
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  "contact_person": [
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  "contact_person": [
            
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    {
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    {
            
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      "contact_department": "School of Bioresources Engineering and 
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      "contact_department": "School of Bioresources Engineering and 
            
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Environmental Hydrology (formerly Department of Agricultural 
25
Environmental Hydrology (formerly Department of Agricultural 
            
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Engineering)",
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Engineering)",
            
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      "contact_email": "schulzer@ukzn.ac.za",
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      "contact_email": "schulzer@ukzn.ac.za",
            
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      "contact_name": "Roland ",
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      "contact_name": "Roland ",
            
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      "contact_orgnization": "University of KwaZulu-Natal"
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      "contact_orgnization": "University of KwaZulu-Natal"
            
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    }
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    }
            
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  ],
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  "creator_user_id": "fa7af5b8-32a7-4df0-90a7-c49fbefb1fbd",
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  "creator_user_id": "fa7af5b8-32a7-4df0-90a7-c49fbefb1fbd",
            
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  "data_classification": "both",
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  "data_classification": "both",
            
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  "data_collection_organization": "University of KwaZulu-Natal",
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  "data_collection_organization": "University of KwaZulu-Natal",
            
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  "data_reference_date": [
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  "data_reference_date": [
            
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    {
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    {
            
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      "data_reference_date_from": "2008-01-01",
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      "data_reference_date_from": "2008-01-01",
            
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      "data_reference_date_to": "2008-12-31"
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      "data_reference_date_to": "2008-12-31"
            
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    }
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    }
            
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  ],
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  ],
            
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  "data_structure_category": "semi-structured",
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  "data_structure_category": "semi-structured",
            
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  "dataset_language": "English",
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  "dataset_language": "English",
            
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  "dataset_license_url": 
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  "dataset_license_url": 
            
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"https://creativecommons.org/licenses/by-sa/4.0/",
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"https://creativecommons.org/licenses/by-sa/4.0/",
            
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  "did_author_or_contact_organization_collect_the_data": "false",
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  "did_author_or_contact_organization_collect_the_data": "false",
            
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  "email": "vanderLaanM@arc.agric.za",
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  "email": "vanderLaanM@arc.agric.za",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "8b55e5ab-3659-4eab-a130-ff2ddb625a01",
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  "id": "8b55e5ab-3659-4eab-a130-ff2ddb625a01",
            
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  "isopen": false,
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  "isopen": false,
            
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  "keywords": "Agrohydrology, Climatology, South Africa, Rainfall, 
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  "keywords": "Agrohydrology, Climatology, South Africa, Rainfall, 
            
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Temperature, Solar radiation, Hydrology, Agriculture, Modelling, GIS, 
51
Temperature, Solar radiation, Hydrology, Agriculture, Modelling, GIS, 
            
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Water resources, Climate variability",
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Water resources, Climate variability",
            
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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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  "license_title": null,
            
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2025-10-22T12:09:02.855565",
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  "metadata_created": "2025-10-22T12:09:02.855565",
            
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  "metadata_modified": "2026-03-10T09:52:38.702468",
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  "minimum_maximum_extent": [
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      "minimum_vertical_extent": "0"
            
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    }
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  ],
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  "name": "atlas-of-agrohydrology-2008-zip",
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  "name": "atlas-of-agrohydrology-2008-zip",
            
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  "notes": "Auto-imported dataset for AtThe South African Atlas of 
67
  "notes": "Auto-imported dataset for AtThe South African Atlas of 
            
68
Climatology and Agrohydrology is an extensive, region\u2011wide 
68
Climatology and Agrohydrology is an extensive, region\u2011wide 
            
69
reference compiling detailed spatial and temporal climatic and 
69
reference compiling detailed spatial and temporal climatic and 
            
70
agrohydrological information for South Africa, Lesotho and Eswatini. 
70
agrohydrological information for South Africa, Lesotho and Eswatini. 
            
71
The Atlas integrates over two decades of research on temperature, 
71
The Atlas integrates over two decades of research on temperature, 
            
72
rainfall, evaporation, soils, agricultural production potential, 
72
rainfall, evaporation, soils, agricultural production potential, 
            
73
hydrology, natural hazards and other environmental datasets. It draws 
73
hydrology, natural hazards and other environmental datasets. It draws 
            
74
on climate station observations and uses regression\u2011based and 
74
on climate station observations and uses regression\u2011based and 
            
75
simulation\u2011based modelling to extend climatic parameters to 
75
simulation\u2011based modelling to extend climatic parameters to 
            
76
unmapped regions, providing a consistent national\u2011scale spatial 
76
unmapped regions, providing a consistent national\u2011scale spatial 
            
77
representation of climate and hydrology.\r\n\r\nThe Atlas includes 
77
representation of climate and hydrology.\r\n\r\nThe Atlas includes 
            
78
more than 330 pages of text, over 700 maps, 120 figures, 111 photos, 
78
more than 330 pages of text, over 700 maps, 120 figures, 111 photos, 
            
79
and 470 statistical tables. It synthesises data on precipitation, 
79
and 470 statistical tables. It synthesises data on precipitation, 
            
80
temperature, solar radiation, vapour pressure, relative humidity, 
80
temperature, solar radiation, vapour pressure, relative humidity, 
            
81
potential evaporation, frost, agricultural yields, natural hazards and 
81
potential evaporation, frost, agricultural yields, natural hazards and 
            
82
hydrological dynamics such as stormflow, recharge, runoff and 
82
hydrological dynamics such as stormflow, recharge, runoff and 
            
83
streamflow. These datasets support regional resource planning in water 
83
streamflow. These datasets support regional resource planning in water 
            
84
and agriculture, enabling users to understand climatic gradients, 
84
and agriculture, enabling users to understand climatic gradients, 
            
85
variability and long\u2011term environmental 
85
variability and long\u2011term environmental 
            
86
patterns.\r\n\r\nImportantly, the Atlas offers \u201cbig picture\u201d 
86
patterns.\r\n\r\nImportantly, the Atlas offers \u201cbig picture\u201d 
            
87
regional insights rather than farm\u2011level precision. Values at 
87
regional insights rather than farm\u2011level precision. Values at 
            
88
specific locations are derived from interpolation and modelling 
88
specific locations are derived from interpolation and modelling 
            
89
processes and should be interpreted in a relative rather than absolute 
89
processes and should be interpreted in a relative rather than absolute 
            
90
sense. The project consolidates climate databases developed in 
90
sense. The project consolidates climate databases developed in 
            
91
preceding Water Research Commission (WRC) studies, integrates soils 
91
preceding Water Research Commission (WRC) studies, integrates soils 
            
92
and land\u2011cover datasets, and incorporates improvements in GIS and 
92
and land\u2011cover datasets, and incorporates improvements in GIS and 
            
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computational capability.las of Agrohydrology_2008.zip",
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computational capability.las of Agrohydrology_2008.zip",
            
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    "name": "wro",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Water Research Observatory",
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    "title": "Water Research Observatory",
            
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  "private": false,
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  "private": false,
            
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  "publication_date": "2007-11-30",
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  "publication_date": "2007-11-30",
            
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  "publisher": "Water Research Commission",
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  "publisher": "Water Research Commission",
            
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    {
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      "created": "2026-02-02T10:44:34.708227",
            
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      "dataset_description": "The Atlas of Agrohydrology provides 
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      "dataset_description": "The Atlas of Agrohydrology provides 
            
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regional\u2011scale maps and analyses of key climatic and hydrological 
120
regional\u2011scale maps and analyses of key climatic and hydrological 
            
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parameters important for agriculture and water resource planning. It 
121
parameters important for agriculture and water resource planning. It 
            
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compiles spatial data\u2014such as precipitation, temperature, and 
122
compiles spatial data\u2014such as precipitation, temperature, and 
            
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potential evaporation\u2014and applies them to support modelling, 
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potential evaporation\u2014and applies them to support modelling, 
            
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decision\u2011making, and long\u2011term resource management across 
124
decision\u2011making, and long\u2011term resource management across 
            
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southern Africa. Its purpose is to offer a functional, 
125
southern Africa. Its purpose is to offer a functional, 
            
126
\u201cbig\u2011picture\u201d view of agrohydrological patterns while 
126
\u201cbig\u2011picture\u201d view of agrohydrological patterns while 
            
127
still giving enough detail to guide regional planning in agriculture 
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still giving enough detail to guide regional planning in agriculture 
            
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and water management.",
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and water management.",
            
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      "url_type": "upload",
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  "state": "active",
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  "state": "active",
            
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  "tags": [],
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  "tags": [],
            
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  "title": "Atlas Of Agrohydrology 2008 Zip",
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  "title": "Atlas Of Agrohydrology 2008 Zip",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "wrc_project_number": "WRC Report 1489/1/06",
            
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  "wro_theme": "agriculture"
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  "wro_theme": "agriculture"
            
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}
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}