Data

Soil Organic Carbon Monitoring Project

Commonwealth Scientific and Industrial Research Organisation
Karunaratne, Senani ; Farrell, Mark ; Pasut, Chiara ; Asanopoulos, Christina ; Zhao, Tom ; Powell, Andrea ; Li, Ming ; Reed, Georgia ; Stower, Liz ; Hoyle, Frances ; O’; Keeffe, Tamara ; Armour, Bonnie ; Schapel, Amanda ; Crawford, Doug ; McCaskill, Malcolm ; Brown, Glenn ; Moreton, Rob ; Garrard, Mary ; Polain, Katherine ; Migliorati, Massimiliano De Antoni ; Reeves, Steven
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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=info:doi10.25919/z378-4286&rft.title=Soil Organic Carbon Monitoring Project&rft.identifier=https://doi.org/10.25919/z378-4286&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=The Soil Organic Carbon Monitoring (SOC-M) Project is a landmark national initiative designed to quantify decadal changes in soil organic carbon (SOC) stocks across Australia’s agricultural landscapes. Building on the Soil Carbon Research Program (SCaRP, 2009–2012), SOC-M resampled 308 sites representing 7.4% of the 4,180 paddocks surveyed under SCaRP between 2022 and 2025 using a hybrid, model-based site-selection framework. This approach ensured broad environmental and land-management representativeness while accommodating practical constraints, including landholder access.The project implemented rigorous, standardised field and laboratory protocols aligned with the Australian Government’s ‘2021 Estimating SOC sequestration using measurement and ,models’ method, which is used to generate and issue Australian Carbon Credit Units. These protocols enabled robust measurement of SOC stocks and key SOC fractions, including particulate organic carbon (POC), humus organic carbon (HOC), and resistant organic carbon (ROC). Advanced analytical techniques were employed to characterise SOC composition and enhance predictive capability, notably solid-state ¹³C nuclear magnetic resonance (NMR) spectroscopy and infrared spectroscopy coupled with chemometric modelling. In parallel, SOC-M collated comprehensive land-management datasets, yielding up to two decades of management information for the majority of resampled sites.Beyond resampling, SOC-M advances open-access benchmark SOC datasets to support cost-effective measurement strategies, improves low-cost sensing and analytical workflows, and strengthens the FullCAM modelling framework used in Australia’s national greenhouse-gas inventory.This repository contains Version 1 of the SOC-M dataset, together with the associated metadata.&rft.creator=Karunaratne, Senani &rft.creator=Farrell, Mark &rft.creator=Pasut, Chiara &rft.creator=Asanopoulos, Christina &rft.creator=Zhao, Tom &rft.creator=Powell, Andrea &rft.creator=Li, Ming &rft.creator=Reed, Georgia &rft.creator=Stower, Liz &rft.creator=Hoyle, Frances &rft.creator=O’Keeffe, Tamara &rft.creator=Armour, Bonnie &rft.creator=Schapel, Amanda &rft.creator=Crawford, Doug &rft.creator=McCaskill, Malcolm &rft.creator=Brown, Glenn &rft.creator=Moreton, Rob &rft.creator=Garrard, Mary &rft.creator=Polain, Katherine &rft.creator=Migliorati, Massimiliano De Antoni &rft.creator=Reeves, Steven &rft.date=2026&rft.edition=v1&rft.coverage=westlimit=107.0542; southlimit=-46.0526; eastlimit=159.9268; northlimit=-8.9787; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2025.&rft_subject=Soil organic carbon&rft_subject=soil organic carbon fractions&rft_subject=land management&rft_subject=Agricultural land management&rft_subject=Agriculture, land and farm management&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Carbon sequestration science&rft_subject=Climate change impacts and adaptation&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Soil chemistry and soil carbon sequestration (excl. carbon sequestration science)&rft_subject=Soil sciences&rft_subject=Soil sciences not elsewhere classified&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2025.

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Full description

The Soil Organic Carbon Monitoring (SOC-M) Project is a landmark national initiative designed to quantify decadal changes in soil organic carbon (SOC) stocks across Australia’s agricultural landscapes. Building on the Soil Carbon Research Program (SCaRP, 2009–2012), SOC-M resampled 308 sites representing 7.4% of the 4,180 paddocks surveyed under SCaRP between 2022 and 2025 using a hybrid, model-based site-selection framework. This approach ensured broad environmental and land-management representativeness while accommodating practical constraints, including landholder access.

The project implemented rigorous, standardised field and laboratory protocols aligned with the Australian Government’s ‘2021 Estimating SOC sequestration using measurement and ,models’ method, which is used to generate and issue Australian Carbon Credit Units. These protocols enabled robust measurement of SOC stocks and key SOC fractions, including particulate organic carbon (POC), humus organic carbon (HOC), and resistant organic carbon (ROC). Advanced analytical techniques were employed to characterise SOC composition and enhance predictive capability, notably solid-state ¹³C nuclear magnetic resonance (NMR) spectroscopy and infrared spectroscopy coupled with chemometric modelling. In parallel, SOC-M collated comprehensive land-management datasets, yielding up to two decades of management information for the majority of resampled sites.

Beyond resampling, SOC-M advances open-access benchmark SOC datasets to support cost-effective measurement strategies, improves low-cost sensing and analytical workflows, and strengthens the FullCAM modelling framework used in Australia’s national greenhouse-gas inventory.

This repository contains Version 1 of the SOC-M dataset, together with the associated metadata.

Available: 2026-02-05

Data time period: 2021-11-25 to 2026-02-28

This dataset is part of a larger collection

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159.9268,-8.9787 159.9268,-46.0526 107.0542,-46.0526 107.0542,-8.9787 159.9268,-8.9787

133.4905,-27.51565