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2,527 datasets for “Simulation Model”

  1. data.gov.uk

    High-resolution global topographic index values

    Environmental Information Data CentreUpdated 30 Jul 2026

    … TOPMODEL routing model option within the Joint UK Land Environment Simulator (JULES) land surface model. The topographic index …

    • ZIP
  2. Data.gov Catalog

    Data supporting CRACMM2 formaldehyde updates

    U.S. EPA Office of Research and Development (ORD)Updated 12 Nov 2024

    … used to run the CMAQ simulations described in the paper, paired observation-model csv files for several species …

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  3. data.gov.au

    HUN Surface Water Model Nodes 20170110 HRV Ratios v01

    Bioregional Assessment ProgramUpdated 9 Aug 2023

    … The input surface water HRV shape file (HUN_SW_Modelling_Reaches_and_HRV_lookup_20171121_v05 (GUID: 8c330d59 …

  4. Data.NSW

    Rose Bay Floodplain Risk Management Study and Plan

    Woollahra Municipal CouncilUpdated 19 Jan 2026

    … This approach involved setting up a DRAINS hydrologic and hydraulic computer model that simulated flow both in the …

  5. data.gov.au

    Rose Bay Floodplain Risk Management Study and Plan

    Woollahra Municipal CouncilUpdated 1 Mar 2026

    … This approach involved setting up a DRAINS hydrologic and hydraulic computer model that simulated flow both in the …

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  6. Data.gov Catalog

    LANDFIRE Remap Forest Canopy Height (CH) HI

    U.S. Geological SurveyUpdated 11 Jan 2023

    … In disturbed locations CH is calculated from linear regression equations derived from Forest Vegetation Simulator (FVS) plot data …

    • XML
  7. data.gov.au

    Application-ready quantile-delta-change (QDC) scaled CMIP6 climate projections for Australia (global warming levels, 11km grid)

    CSIRO Data Access PortalUpdated 20 Sept 2025

    … Up to four 20-year windows of projections are available per model, corresponding to global warming levels of …

    • APPLICATION/X-NETCDF
  8. Data.gov Catalog

    Modeling long-term, stage-structured dynamics of Tribolium castaneum at food facilities with and without two types of long-lasting insecticide netting

    Agricultural Research ServiceUpdated 21 Nov 2025

    … Model Parameterization and Scenarios We simulated population outcomes for up to 15 generations by using the life table …

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  9. data.gov.au

    Modelling circulation and connectivity on Australias North West Shelf.

    Australian Ocean Data NetworkUpdated 23 Jun 2025

    … models have been developed with forcing by realistic winds, tides, and large-scale regional circulation. The simulations cover …

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  10. data.overheid.nl

    WINS50 - wind at 10-600 meter height for the Netherlands from HARMONIE-AROME with wind farm parameterization and a 2050 wind farm scenario as daily files

    NationaalGeoregister.nlUpdated 7 Aug 2026

    … the NWP model HARMONIE-AROME nested in the ECMWF reanalysis ERA5. The HARMONIE-AROME simulation includes a wind …

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  11. data.gov.au

    KRILLPODYM modelled estimates of Antarctic krill circumpolar distribution

    Australian Ocean Data NetworkUpdated 19 Aug 2026

    … Dynamics Model (SEAPODYM) is one such framework that integrates population and general circulation modelling to simulate the spatial …

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  12. Data.NSW

    Punchbowl Catchment Flood Study

    Canterbury-Bankstown CouncilUpdated 20 Jan 2026

    … for manageable model simulation times and file sizes. Full details of the modelling approach, modelling parameters and other …

  13. Data.gov Catalog

    NIST Electron Elastic-Scattering Cross-Section Database - SRD 64 Version 3.2

    National Institute of Standards and TechnologyUpdated 1 Jan 2012

    … Knowledge of elastic-scattering effects is important for the development of theoretical models for quantitative analysis by Auger …

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  14. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

    Geoscience Australia DataUpdated 17 Oct 2025

    … simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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  15. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

    Geoscience Australia DataUpdated 20 Jan 2026

    … simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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  16. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

    Geoscience Australia DataUpdated 2 Mar 2026

    … simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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  17. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

    Geoscience Australia DataUpdated 7 Mar 2026

    … simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

    • PDF
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  18. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

    Geoscience Australia DataUpdated 25 Mar 2026

    … simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

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  19. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

    Geoscience Australia DataUpdated 20 Apr 2026

    … simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

    • PDF
    • HTML
  20. data.gov.au

    Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared

    Geoscience Australia DataUpdated 30 Apr 2026

    … simulation experiment. The prediction accuracy changes with the methods, inclusion and exclusion of slope, search window size, model …

    • PDF
    • HTML
“Simulation Model” datasets · Open Data Finder