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193 datasets for “predictive models”

  1. Opendatasoft hubLive preview

    Robert et al. Combining crop growth modelling with trait-assisted prediction improved the prediction of genotype by environment interactions

    Rincent, RenaudUpdated 22 Jun 2021

    Lien vers la fiche source Genotyping data, Phenotyping data (Heading date and Grain Yield) used in the study …

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    Air temperature | Temperature of the atmosphere by model prediction | National and Kapodistrian University of Athens, Department of Physics, Atmospheric Modeling and Weather Forecasting Group | Marina Platform Project Data Base

    National and Kapodistrian University of Athens, Department of Physics, Atmospheric Modeling and Weather Forecasting GroupUpdated 24 Aug 2017

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    Bathymetry and Elevation | Depth Uncertainty | NOAA | NOAA ESRI Grid - depth uncertainty predictions in New York offshore planning area from Biogeography Branch bathymetry model

    HR WallingfordUpdated 29 Mar 2018

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    Data for comparative assessment of genomic, phenomic, and metabolomic prediction models in biparental INRAE-ResDur grapevine breeding populations

    Avia, KomlanUpdated 23 Oct 2025

    Lien vers la fiche source Datasets used for comparative assessment of genomic, phenomic, and metabolomic prediction models in …

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    Bathymetry and Elevation | Sea-floor depth (below mean sea level) {bathymetric depth} | US Government Open Data Source | NOAA ESRI Grid - depth uncertainty predictions in New York offshore planning area from Biogeography Branch bathymetry model

    HR WallingfordUpdated 3 Apr 2018

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    Random forest models for predicting the flow intermittence in the 6 European Drying River Networks

    Mimeau, LouiseUpdated 1 Apr 2025

    Lien vers la fiche source Random forest models to predict the state of flow (0=dry, 1=flowing …

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    • ODS API
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    Data about Prediction of the digestible energy content of hay for horses from their chemical composition using the National Institute of Agricultural Research system: new models

    Andueza Urra, Jesus DonatoUpdated 25 Jun 2024

    Lien vers la fiche source Data concerning the article "Prediction of the digestible energy content of hay for …

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    Raw data for Azrag et al., 2018. PlosOne. Prediction of insect pest distribution as influenced by elevation: combining field observations and temperature-dependent development models for the coffee stink bug, Antestiopsis thunbergii (Gmelin).

    Babin, RégisUpdated 20 Nov 2023

    … Prediction of insect pest distribution as influenced by elevation: combining field observations and temperature-dependent development models for …

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    • ODS API
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    de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population

    de Verdal, HuguesUpdated 13 Jun 2024

    … entitled "Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice …

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    ALBOMAURICE: a predictive model for mapping Aedes albopictus mosquito populations in Mauritius

    Degenne, PascalUpdated 14 Jun 2024

    Lien vers la fiche source The software runs a mosquito population dynamics model to predict the temporal and …

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    Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2,000m depth) using Generalized Additive Models

    Institute of Marine ResearchUpdated 3 Sept 2024

    Lien vers la fiche source We developed predictive distribution models of deep-sea elasmobranchs for up to 2000 …

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    Code for the article "An epi-evolutionary model to predict spore-producing pathogens adaptation to quantitative resistance in heterogeneous environments" by F. Fabre, J.-B. Burie, A. Ducrot, S. Lion, Q. Richard and R. Djidjou-Demasse

    Fabre, FredericUpdated 6 Dec 2022

    … An epi-evolutionary model for predicting the adaptation of spore-producing pathogens to quantitative resistance in heterogeneous. Evolutionary …

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    Allometric Trophic Network Model and ARENA Data for 'From a local descriptive to a generic predictive model of cereal aphid regulation by predators'

    Stell, EricUpdated 13 Apr 2024

    … model used for the results of the article: 'From a local descriptive to a generic predictive model of …

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    Predictive metabolomics of pearl millet phenotypic traits using a germoplasm panel of genetic diversity

    Pinheiro Costa Pimentel, MarianaUpdated 29 Apr 2025

    Lien vers la fiche source Metabolic diversity in genotypes of the germplasm core collection of Pearl millet from …

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

    Saby, NicolasUpdated 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, SoleneUpdated 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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    Composition-based statistical model for predicting CO2 solubility in Modified Atmosphere Packaging application

    Münch, MélanieUpdated 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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    • ODS API
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    From structure to function: predicting mass transfer in cellulose-based multilayer packaging materials

    VERCASSON, AllisonUpdated 12 Dec 2025

    … This file contains all modelled data for the prediction of oxygen and water barrier properties of PHBV-laminated …

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    Données Modélisées PELGAS (Distance Sampling)

    SextantUpdated 15 May 2025

    … Ces prédictions sont faites à partir d'un modèle statistique dit "Distance Sampling" (DS) calibré sur les données …

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    • ODS API
“predictive models” datasets · Open Data Finder