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83 datasets for “numerical accuracies”

  1. data.gov.au

    WAMSI 2 - Dredging Node - Project 3.1.3 - Numerical modelling of dredge plumes: a review

    Western Australian Marine Science InstitutionUpdated 20 Dec 2025

    … We assess factors contributing to the accuracy in model predictions and the effectiveness of monitoring and managing the …

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  2. data.gov.au

    WAMSI 2 - Dredging Node - Project 3.1.3 - Numerical modelling of dredge plumes: a review

    Australian Ocean Data NetworkUpdated 23 Jun 2025

    … We assess factors contributing to the accuracy in model predictions and the effectiveness of monitoring and managing the …

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  3. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 16 Oct 2025

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  4. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 20 Jan 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  5. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 2 Mar 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  6. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 7 Mar 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  7. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 25 Mar 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  8. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 20 Apr 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  9. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 30 Apr 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  10. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Geoscience Australia DataUpdated 14 May 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  11. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 11 Jan 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  12. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 23 Jan 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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    • HTML
  13. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 12 Feb 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  14. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 5 Mar 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  15. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 16 Mar 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  16. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 29 Mar 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  17. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 4 Apr 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  18. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 10 Apr 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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  19. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 16 Apr 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

    • PDF
    • HTML
  20. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment

    Australian Ocean Data NetworkUpdated 5 May 2026

    … The effects of these factors on the prediction accuracy were analysed using generalised linear models. The prediction accuracy …

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    • HTML
“numerical accuracies” datasets · Open Data Finder