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85 datasets for “mathematical modeling”

  1. data.gov.au

    Criteria for the design and evaluation of mathematical models for the Alice Springs Town Basin

    Geoscience Australia DataUpdated 16 Oct 2025

    Legacy product - no abstract available

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  2. data.gov.au

    Mathematical modelling of experimental systems simulating metal chelating in reducing sedimentary environments

    Geoscience Australia DataUpdated 17 Oct 2025

    This paper discusses the mathematical modelling of laboratory controlled sedimentary systems that physically simulate organo-metal complex and …

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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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  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 …

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    • 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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“mathematical modeling” datasets · Open Data Finder