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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 
32
and geospatial technologies. Products provide estimates of SOC 
            
33
concentrations and associated trends through time. Also important 
33
concentrations and associated trends through time. Also important 
            
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covariates required to drive this spatio-temporal modelling are 
34
covariates required to drive this spatio-temporal modelling are 
            
35
identified using the Recursive Feature Elimination algorithm (RFE), 
35
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, 
38
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, 
            
40
Tulau MJ, 2021.   [_Determining baselines, drivers and trends of soil 
40
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 
42
& Improvement 
            
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ets.seed.nsw.gov.au/dataset/nsw-eastern-forest-soil-condition-report), 
43
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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functions for the purposes of establishing a sound evidence basis for 
            
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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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cube maps",
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182
  "version": null
182
  "version": null
            
183
}
183
}