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  "name": "nsw-eastern-forest-soil-condition-data-cube-maps",
            
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  "notes": "This dataset created by the University of Sydney, includes 
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  "notes": "This dataset created by the University of Sydney, includes 
            
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time series digital soil map products of soil organic carbon (SOC) 
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time series digital soil map products of soil organic carbon (SOC) 
            
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between January 1990 and December 2020 for the Regional Forest 
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between January 1990 and December 2020 for the Regional Forest 
            
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Agreement regions of eastern NSW.  Modelling was completed using a 
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Agreement regions of eastern NSW.  Modelling was completed using a 
            
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data cube platform incorporating machine learning space-time framework 
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data cube platform incorporating machine learning space-time framework 
            
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and geospatial technologies. Products provide estimates of SOC 
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and geospatial technologies. Products provide estimates of SOC 
            
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concentrations and associated trends through time. Also important 
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concentrations and associated trends through time. Also important 
            
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covariates required to drive this spatio-temporal modelling are 
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covariates required to drive this spatio-temporal modelling are 
            
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identified using the Recursive Feature Elimination algorithm (RFE), 
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identified using the Recursive Feature Elimination algorithm (RFE), 
            
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which including a range of predictors that vary in space, time and 
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which including a range of predictors that vary in space, time and 
            
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space and time. \r\n\r\nFull description of the digital soil maps and 
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space and time. \r\n\r\nFull description of the digital soil maps and 
            
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methods are presented in:\r\nMoyce MC, Gray JM, Wilson BR, Jenkins BR, 
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methods are presented in:\r\nMoyce MC, Gray JM, Wilson BR, Jenkins BR, 
            
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Young MA, Ugbaje SU, Bishop TFA, Yang X, Henderson LE, Milford HB, 
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Young MA, Ugbaje SU, Bishop TFA, Yang X, Henderson LE, Milford HB, 
            
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Tulau MJ, 2021.   [_Determining baselines, drivers and trends of soil 
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Tulau MJ, 2021.   [_Determining baselines, drivers and trends of soil 
            
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health and stability in New South Wales forests: NSW Forest Monitoring 
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health and stability in New South Wales forests: NSW Forest Monitoring 
            
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& Improvement 
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& Improvement 
            
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ets.seed.nsw.gov.au/dataset/nsw-eastern-forest-soil-condition-report), 
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ets.seed.nsw.gov.au/dataset/nsw-eastern-forest-soil-condition-report), 
            
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Final report v1.1 for NSW Natural Resources Commission by NSW 
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Final report v1.1 for NSW Natural Resources Commission by NSW 
            
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Department of Planning, Industry and Environment and University of 
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Department of Planning, Industry and Environment and University of 
            
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Sydney.  \r\n\r\nThe metadata's _data packages_  section includes 
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Sydney.  \r\n\r\nThe metadata's _data packages_  section includes 
            
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project scripts and code, final project report and an external 
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project scripts and code, final project report and an external 
            
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Cloudstor link to download the predicted SOC map products, \r\n",
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Cloudstor link to download the predicted SOC map products, \r\n",
            
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providing independent, evidence based advice and thought leadership to 
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providing independent, evidence based advice and thought leadership to 
            
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Government to secure triple bottom line outcomes in natural resource 
            
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  "title": "NSW eastern forest soil condition: Spatio-temporal data 
            
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cube maps",
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  "version": null
182
  "version": null
            
183
}
183
}