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      "individual_name": "Wim Hugo",
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  "dataset_reference_date": [
            
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  "doi": "10.15493/BEA.DATA.10000082",
            
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  "lineage_statement": "Data was derived from the following sources: * 
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  "lineage_statement": "Data was derived from the following sources: * 
            
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CSIR was commissioned by the BioEnergy Atlas to assemble known data on 
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CSIR was commissioned by the BioEnergy Atlas to assemble known data on 
            
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solid waste production from household and commercial sources in South 
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solid waste production from household and commercial sources in South 
            
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Africa. This data was only available at provincial aggregate level, 
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Africa. This data was only available at provincial aggregate level, 
            
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and derives from statistics published by the Department of Water and 
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and derives from statistics published by the Department of Water and 
            
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Sanitation, or recent studies funded by them. * Data from StatsSA 
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Sanitation, or recent studies funded by them. * Data from StatsSA 
            
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(Census 2011) enabled the calculation of number of households within 
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(Census 2011) enabled the calculation of number of households within 
            
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each planning zone that were serviced at the time, with the balance 
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each planning zone that were serviced at the time, with the balance 
            
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unserviced. * SAEON developed a model from national and international 
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unserviced. * SAEON developed a model from national and international 
            
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statistics linking waste water production and composition to household 
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statistics linking waste water production and composition to household 
            
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income. This model was used, based on StatsSA Census Data, to estimate 
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income. This model was used, based on StatsSA Census Data, to estimate 
            
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the organic component produced by each household per planning zone 
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the organic component produced by each household per planning zone 
            
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(mesozone) annually. * These factors were used to disaggregate 
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(mesozone) annually. * These factors were used to disaggregate 
            
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provincial production data, resulting in a value for unserviced and 
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provincial production data, resulting in a value for unserviced and 
            
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serviced organic wastewater from household sources to be calculated 
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serviced organic wastewater from household sources to be calculated 
            
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for each mesozone.",
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for each mesozone.",
            
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  "name": "serviced_and_unserviced_waste_water_organic_component",
            
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  "notes": "Data was derived from the following sources: * CSIR was 
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  "notes": "Data was derived from the following sources: * CSIR was 
            
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commissioned by the BioEnergy Atlas to assemble known data on solid 
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commissioned by the BioEnergy Atlas to assemble known data on solid 
            
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waste production from household and commercial sources in South 
71
waste production from household and commercial sources in South 
            
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Africa. This data was only available at provincial aggregate level, 
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Africa. This data was only available at provincial aggregate level, 
            
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and derives from statistics published by the Department of Water and 
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and derives from statistics published by the Department of Water and 
            
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Sanitation, or recent studies funded by them. * Data from StatsSA 
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Sanitation, or recent studies funded by them. * Data from StatsSA 
            
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(Census 2011) enabled the calculation of number of households within 
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(Census 2011) enabled the calculation of number of households within 
            
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each planning zone that were serviced at the time, with the balance 
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each planning zone that were serviced at the time, with the balance 
            
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unserviced. * SAEON developed a model from national and international 
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unserviced. * SAEON developed a model from national and international 
            
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statistics linking waste water production and composition to household 
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statistics linking waste water production and composition to household 
            
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income. This model was used, based on StatsSA Census Data, to estimate 
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income. This model was used, based on StatsSA Census Data, to estimate 
            
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the organic component produced by each household per planning zone 
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the organic component produced by each household per planning zone 
            
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(mesozone) annually. * These factors were used to disaggregate 
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(mesozone) annually. * These factors were used to disaggregate 
            
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provincial production data, resulting in a value for unserviced and 
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provincial production data, resulting in a value for unserviced and 
            
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serviced organic wastewater from household sources to be calculated 
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serviced organic wastewater from household sources to be calculated 
            
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