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Darwin and Bynoe Harbour regions in northern Australia are covered by a 10-meter resolution raster grid predicting seabed mud content. The predictions are based on 395 physical samples and nine environmental variables derived from high-resolution multibeam sonar data, achieving a reported VEcv accuracy of 62% for mud. This dataset supersedes previous predictions and was created to underpin marine resource management decisions.
Data is provided in raster grid and ASCII text formats within a ZIP file. The project was funded by offset funds from the INPEX-led Ichthys LNG Project.