Data

Soil organic carbon concentration in Eastern Australia

University of New England, Australia
Hobley, Eleanor
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://hdl.handle.net/1959.11/215323&rft.title=Soil organic carbon concentration in Eastern Australia&rft.identifier=https://hdl.handle.net/1959.11/215323&rft.publisher=University of New England, Australia&rft.description=This dataset contains measurements related to the depth distribution of organic carbon in soil in Eastern Australia. Soil organic carbon concentration (SOC) was measured to a soil depth of 1 m at 100 sites across NSW, Australia. Three machine learning algorithms were used to identify predictors important to the model parameters. Multiple regression models were then created based upon the machine learning results using bootstrapped stepwise regressions and the relative importance of the selected variables was assessed using proportional marginal variance decomposition. Predictor variables used in machine learning algorithms include climate, land-use, site and soil variables. This dataset is an output of the Importance of Deep Soil Carbon to Long Term Carbon Storage Project which is supported by funding from the Australian Government Department of Agriculture.&rft.creator=Hobley, Eleanor &rft.date=2017&rft.coverage=147.017883,-32.161804&rft_rights= http://creativecommons.org/licenses/by/3.0/au&rft_rights=&rft_rights=Rights holder: University of New England&rft_subject=Analysis of Algorithms and Complexity&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=COMPUTATION THEORY AND MATHEMATICS&rft_subject=Soil Biology&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=SOIL SCIENCES&rft_subject=Ecological Impacts of Climate Change&rft_subject=ECOLOGICAL APPLICATIONS&rft_subject=Farmland, Arable Cropland and Permanent Cropland Soils&rft_subject=ENVIRONMENT&rft_subject=SOILS&rft_subject=Soils not elsewhere classified&rft_subject=Ecological impacts of climate change and ecological adaptation&rft_subject=Climate change impacts and adaptation&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Soil biology&rft_subject=Soil sciences&rft_subject=Graph, social and multimedia data&rft_subject=Data management and data science&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=Soils&rft_subject=Terrestrial systems and management&rft_subject=ENVIRONMENTAL MANAGEMENT&rft.type=dataset&rft.language=English Access the data
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Rights holder: University of New England

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This dataset contains measurements related to the depth distribution of organic carbon in soil in Eastern Australia. Soil organic carbon concentration (SOC) was measured to a soil depth of 1 m at 100 sites across NSW, Australia. Three machine learning algorithms were used to identify predictors important to the model parameters. Multiple regression models were then created based upon the machine learning results using bootstrapped stepwise regressions and the relative importance of the selected variables was assessed using proportional marginal variance decomposition. Predictor variables used in machine learning algorithms include climate, land-use, site and soil variables. This dataset is an output of the Importance of Deep Soil Carbon to Long Term Carbon Storage Project which is supported by funding from the Australian Government Department of Agriculture.

Issued: 2017-12-04

Date Submitted : 2017-04-27

Data time period: 2014-01-01 to 2015-01-01

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147.01788,-32.1618

147.017883,-32.161804

Subjects
Analysis of Algorithms and Complexity | Computation Theory and Mathematics | Climate Change Impacts and Adaptation | Data Management and Data Science | Ecological Applications | Environment | Environmental Management | Environmental Sciences | Environmental Sciences | Ecological Impacts of Climate Change | Ecological Impacts of Climate Change and Ecological Adaptation | Farmland, Arable Cropland and Permanent Cropland Soils | Graph, Social and Multimedia Data | Information and Computing Sciences | Information and Computing Sciences | Soil Sciences | Soils | Soil Biology | Soil Biology | Soil Sciences | Soils | Soils Not Elsewhere Classified | Terrestrial Systems and Management |

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