Search results for predictive models

Joint Vegetation Mapping Project: Brigalow Belt South Bioregion, Predicted Potential Vegetation model VIS_ID 1650

NSW Department of Climate Change, Energy, the Environment and Water · Updated 3 Oct 2026

The JVMP has produced a "predicted potential vegetation distribution model" that showed the potential for a particular vegetation …

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Joint Vegetation Mapping Project: Brigalow Belt South Bioregion, Predicted Potential Vegetation model VIS_ID 1650

NSW Department of Climate Change, Energy, the Environment and Water · Updated 14 Nov 2025

The JVMP has produced a "predicted potential vegetation distribution model" that showed the potential for a particular vegetation …

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Applicability of the series resistance model in predicting the permeability of coated papers to oxygen and water vapor: importance of data quality and associated metadata

Vercasson, Allison · Updated 1 Jul 2025

… model: units conversion, both for Water Vapor data and for Oxygen, and finally the calculation of predicted permeability …

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RTOFS Forecast, 3D, Daily, Global, Latest Model Run, today - today+8days, Lon+/-180

NOAA NMFS SWFSC Environmental Research Division · Updated 4 Sept 2022

… Environmental Prediction is based on an eddy resolving 1/12° global HYCOM (HYbrid Coordinates Ocean Model) and is …

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AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Southern Ocean zooplankton

Australian Ocean Data Network · Updated 3 Sept 2026

… Hierarchical Models of Species Communities (HMSC) was used to model the zooplankton community to make inferences and predictions …

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Collection of Multi-model Data from the Arctic Predictability and Prediction On Seasonal-to-Interannual Time-scales (APPOSITE) Project

Centre for Environmental Data Analysis · Updated 17 Jul 2017

… The collection of model outputs (control and prediction) include data from: - Canadian Centre for Climate Modelling and Analysis …

Collection of Multi-model Data from the Arctic Predictability and Prediction On Seasonal-to-Interannual Time-scales (APPOSITE) Project

Centre for Environmental Data Analysis · Updated 19 Jun 2018

… The collection of model outputs (control and prediction) include data from: - Canadian Centre for Climate Modelling and Analysis …

Données de réplication pour : Merging country, continental and global predictions of soil texture: Lessons from ensemble modelling in France

Saby, Nicolas · Updated 4 Jul 2023

… Plutôt que de sélectionner la meilleure carte, l'ensemble de modèles permet de capitaliser sur les informations pédologiques …

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Predicted key dugong habitat - New Caledonia west coast

DERVILLE, Solene · Updated 18 Oct 2021

… was modeled in relation with lagoon topographic variables and seagrass coverage. Intensity of use was predicted back over …

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Surficial and deep earth material prediction from geochemical compositions - a spatial predictive model

Geoscience Australia Data · Updated 18 Nov 2025

… A random forest predictive model is trained and features are ranked based on their contribution to the predictive …

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Pan-Canadian predictive model of Carbonatite-hosted REE and Nb deposits

Natural Resources Canada | Ressources naturelles Canada · Updated 2 Jul 2025

A predictive model for Canadian carbonatite-hosted REE ± Nb deposits is presented herein. This model was developed by …

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Predictive model of Li-Cs-Ta pegmatite deposits

Natural Resources Canada | Ressources naturelles Canada · Updated 2 Jul 2025

This model is derived from geological and geophysical data, which is processed using deep learning and natural language …

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Random Forest model output prediction raster for the occurrence of Fe-Mn in the World Oceans

British Geological Survey (BGS) · Updated 13 Nov 2026

… Any values outside of that range (e.g., 0) are outside of the model prediction and should not …

Pilot points for prediction interpolation of layer 1 in CLM groundwater model

Bioregional Assessment Program · Updated 13 Apr 2022

… This dataset contains pilot points for prediction interpolation in the CLM groundwater model. ## **Dataset History** For the receptors …

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Data from: Predictive Modeling of Seed Biochemicals Composition Traits using Machine learning algorithms

Agricultural Research Service · Updated 22 Dec 2025

… Thus, this research investigated the ability of machine learning to predict plant growth features and grain composition collected …

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WAMSI Node 2.1 - Dynamics and predictability of the Indo-Pacific Ocean as a global condition on marine climate impacts in WA - POAMA

Bureau of Meteorology (BOM) · Updated 9 Aug 2023

The Predictive Ocean Atmosphere Model for Australia (POAMA) is a state-of-the-art seasonal to inter-annual …

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WAMSI Node 2.1 - Dynamics and predictability of the Indo-Pacific Ocean as a global condition on marine climate impacts in WA - POAMA

Australian Ocean Data Network · Updated 23 Jun 2025

The Predictive Ocean Atmosphere Model for Australia (POAMA) is a state-of-the-art seasonal to inter-annual …

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Composition-based statistical model for predicting CO2 solubility in Modified Atmosphere Packaging application

Münch, Mélanie · Updated 22 Sept 2022

… The best option kept was a random forest algorithm that was used to predict CO2 solubility in four …

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Analysis of Virtual Sensors for Predicting Aircraft Fuel Consumption

Dashlink · Updated 31 Mar 2025

… The predictive model is used for anomaly detection in the fuel consumption history by noting when measured fuel …

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Soil loss on ignition predictions using GBASE data for south west England (NERC Grant NE/T004169/1)

British Geological Survey (BGS) · Updated 13 Nov 2026

Maps of spatially interpolated predictions and stochastic simulations of soil loss on ignition (%) for south west England (Devon …