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571 datasets for “simulation data”
- 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
Australian Ocean Data NetworkUpdated 4 Apr 2026
… samples extracted from Geoscience Australia's Marine Samples Database (MARS). The performance of 18 methods (machine learning methods …
- HTML
- 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
Australian Ocean Data NetworkUpdated 10 Apr 2026
… samples extracted from Geoscience Australia's Marine Samples Database (MARS). The performance of 18 methods (machine learning methods …
- HTML
- 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
Australian Ocean Data NetworkUpdated 16 Apr 2026
… samples extracted from Geoscience Australia's Marine Samples Database (MARS). The performance of 18 methods (machine learning methods …
- HTML
- 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
Australian Ocean Data NetworkUpdated 5 May 2026
… samples extracted from Geoscience Australia's Marine Samples Database (MARS). The performance of 18 methods (machine learning methods …
- HTML
- 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
Australian Ocean Data NetworkUpdated 5 Jun 2026
… samples extracted from Geoscience Australia's Marine Samples Database (MARS). The performance of 18 methods (machine learning methods …
- HTML
- 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
Australian Ocean Data NetworkUpdated 17 Jun 2026
… samples extracted from Geoscience Australia's Marine Samples Database (MARS). The performance of 18 methods (machine learning methods …
- HTML
- 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
Australian Ocean Data NetworkUpdated 23 Jun 2026
… samples extracted from Geoscience Australia's Marine Samples Database (MARS). The performance of 18 methods (machine learning methods …
- HTML
- 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
Australian Ocean Data NetworkUpdated 27 Jun 2026
… samples extracted from Geoscience Australia's Marine Samples Database (MARS). The performance of 18 methods (machine learning methods …
- HTML
- data.gov.au
Near-surface detection of CO2 leakage using eddy covariance techniques at the Ginninderra CO2 controlled release facility
Geoscience Australia DataUpdated 16 Oct 2025
… The facility is designed to simulate surface emissions of CO2 from the soil into the atmosphere and is …
- HTML
- Open Government Canada
Seasonal Climatologies of the Canadian Pacific Exclusive Economic Zone from British Columbia Continental Margin (BCCM) Model (1981-2010)
Fisheries and Oceans Canada | Pêches et Océans CanadaUpdated 24 Mar 2026
… Seasonal climatologies of the Canadian Pacific Exclusive Economic Zone (CPEEZ) were computed from a numerical simulation of the …
- HTML
- TIFF
- data.gov.au
Hybrid cross shore and longshore shoreline evolution modeling for probabilistic assessment of beach erosion
Geoscience Australia DataUpdated 16 Oct 2025
… Coastal erosion and inundation hazard is modelled in this study by simulations of realistic storm condition forcing (waves …
- HTML
- Open Government Canada
Number of large fires (>200 hectares) - Long-term (2071-2100) under RCP 2.6
Natural Resources Canada | Ressources naturelles CanadaUpdated 7 Feb 2022
… Future climatic data were simulated using the Canadian Earth System Model version 2 (CanESM2) and downscaled at a …
- ESRI REST
- WMS
- FGDB/GDB
- KML
- MXD
- Open Government Canada
Number of large fires (>200 hectares) - Long-term (2071-2100) under RCP 8.5
Natural Resources Canada | Ressources naturelles CanadaUpdated 7 Feb 2022
… Future climatic data were simulated using the Canadian Earth System Model version 2 (CanESM2) and downscaled at a …
- ESRI REST
- WMS
- FGDB/GDB
- KML
- MXD
- Open Government Canada
Number of large fires (>200 hectares) - Short-term (2011-2040) under RCP 8.5
Natural Resources Canada | Ressources naturelles CanadaUpdated 7 Feb 2022
… Future climatic data were simulated using the Canadian Earth System Model version 2 (CanESM2) and downscaled at a …
- ESRI REST
- WMS
- FGDB/GDB
- KML
- MXD
- Open Government Canada
Number of large fires (>200 hectares) - Medium-term (2041-2070) under RCP 8.5
Natural Resources Canada | Ressources naturelles CanadaUpdated 7 Feb 2022
… Future climatic data were simulated using the Canadian Earth System Model version 2 (CanESM2) and downscaled at a …
- ESRI REST
- WMS
- FGDB/GDB
- KML
- MXD
- data.gov.au
Probabilistic modelling of storm wave clustering at Old Bar, NSW, including the impacts of seasonal and ENSO cycles.
Geoscience Australia DataUpdated 16 Oct 2025
… Callaghan et al., (2008) Statistical Simulation of wave climate and extreme beach erosion. Coastal Engineering 2008, 55, 375 …
- data.gov.au
An integrated toolkit to support decision making for exploration: Bluecap models of Ni-Co-laterite potential in the Tasmanides
Geoscience Australia DataUpdated 18 Nov 2025
… It does this by integrating industry cost models and development data with large-scale geological and infrastructure datasets …
- data.gov.au
Tsunami Modelling Validation: The Impact of the 2004 Indian Ocean Tsunami on Geraldton, Western Australia
Geoscience Australia DataUpdated 16 Oct 2025
… This study employs the tsunami hazard modelling methodology used by Geoscience Australia (GA) to simulate a tsunami scenario …
- ZIP
- HTML
- Open Government Canada
Seasonal Climatologies of the Canadian Pacific Exclusive Economic Zone from British Columbia Continental Margin (BCCM) Model (1993-2020)
Fisheries and Oceans Canada | Pêches et Océans CanadaUpdated 24 Mar 2026
… Seasonal climatologies of the Canadian Pacific Exclusive Economic Zone (CPEEZ) were computed from a numerical simulation of the …
- HTML
- TIFF
- data.gov.au
Tsunami Modelling Validation: The Impact of the 2004 Indian Ocean Tsunami on Geraldton, Western Australia
Australian Ocean Data NetworkUpdated 22 Jul 2026
… This study employs the tsunami hazard modelling methodology used by Geoscience Australia (GA) to simulate a tsunami scenario …
- ZIP
- HTML