“predictive models” datasets

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5,849 datasets for “predictive models”

Open Government Canada
Data-driven, early-exploration predictive indicators for porphyry-style mineralization in Yukon using deconstructed *weights of evidence modeling
Government of Yukon | Gouvernement du YukonUpdated 26 Aug 2026
not_specified
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- ZIP
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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 …
- CSV
- JSON
- GEOJSON
- ODS API
Open Government Canada
Ecological consequences of recreation on subarctic-alpine tundra; experimental assessment and predictive modeling as planning tools for sustainable visitor management in protected areas
Government of Yukon | Gouvernement du YukonUpdated 4 Nov 2026
not_specified
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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
Lien vers la fiche source
- CSV
- JSON
- GEOJSON
- ODS API
data.gov.au
Comparison of predictive deformation and fluid-flow numerical modelling results with subsequent detailed structural mineralisation analysis at Wallaby
Geoscience Australia DataUpdated 16 Oct 2025
Comparison of predictive deformation and fluid-flow numerical modelling results with subsequent detailed structural mineralisation analysis at Wallaby …
- PDF
- HTML
data.gov.au
Comparison of predictive deformation and fluid-flow numerical modelling results with subsequent detailed structural mineralisation analysis at Wallaby
Geoscience Australia DataUpdated 16 Oct 2025
Comparison of predictive deformation and fluid-flow numerical modelling results with subsequent detailed structural mineralisation analysis at Wallaby
- PDF
- HTML
Opendatasoft hubLive preview
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 …
- CSV
- JSON
- GEOJSON
- ODS API
data.gov.au
A Critical Review of Spatial Predictive Modeling Process in Environmental Sciences with Reproducible Examples in R
Geoscience Australia DataUpdated 16 Oct 2025
… This study evaluates a spatial predictive modeling process, and identifies nine major components for spatial predictive modeling. Each …
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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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- JSON
- GEOJSON
- ODS API
Data.gov Catalog
North American Multi-Model Ensemble (NMME) Seasonal Prediction System
NOAA National Centers for Environmental InformationUpdated 1 Dec 2018
… The contributing modeling centers are NOAA's National Centers for Environmental Prediction (NCEP), NOAA's Geophysical Fluid Dynamics …
- HTML
- VALUE
data.gov.uk
Supplemental data for 'Pore network model predictions of Darcy-scale multiphase flow heterogeneity validated by experiments'
British Geological Survey (BGS)Updated 13 Nov 2026
… input and output files, processed micro-CT data, figure 3 data and plot, pore network modeling sensitivity examples
data.gov.uk
Supplemental data for 'Pore network model predictions of Darcy-scale multiphase flow heterogeneity validated by experiments'
British Geological Survey (BGS)Updated 13 Nov 2026
… This repository includes CMG simulation input and output files, processed micro-CT data, and pore network modelling sensitivity …
data.gov.au
Models of the upper crust from wide-angle and reflection studies, Northeast Yilgarn: Why we need both Predictive Mineral Discovery Cooperative Research Centre, Barossa Conference Poster
Geoscience Australia DataUpdated 16 Oct 2025
… Models of the upper crust from wide-angle and reflection studies, Northeast Yilgarn: Why we need both. Predictive …
- PDF
- HTML
data.gov.uk
Antarctic Mesoscale Prediction System (AMPS): real-time numerical weather prediction model output at 4.5 and 6km resolution for the Antarctic
Centre for Environmental Data AnalysisUpdated 17 Jul 2017
The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support …
data.gov.uk
Antarctic Mesoscale Prediction System (AMPS): real-time numerical weather prediction model output at 4.5 and 6km resolution for the Antarctic
Centre for Environmental Data AnalysisUpdated 19 Jun 2018
The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support …
Opendatasoft hubLive preview
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 …
- CSV
- JSON
- GEOJSON
- ODS API
Opendatasoft hubLive preview
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 …
- CSV
- JSON
- GEOJSON
- ODS API
Open Government Canada
Predictive model of graphite
Natural Resources Canada | Ressources naturelles CanadaUpdated 2 Jul 2025
This model is derived from geological, geophysical and other forms of geodata. Feature extraction used deep learning. Predictive …
- HTML
- ESRI REST
- WMS
- GPKG
- PDF
data.gov.au
Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness
Geoscience Australia DataUpdated 18 Nov 2025
… 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …
- HTML
data.gov.au
Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness
Geoscience Australia DataUpdated 8 Jan 2026
… 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …
- HTML

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Data-driven, early-exploration predictive indicators for porphyry-style mineralization in Yukon using deconstructed *weights of evidence modeling

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

Ecological consequences of recreation on subarctic-alpine tundra; experimental assessment and predictive modeling as planning tools for sustainable visitor management in protected areas

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

Comparison of predictive deformation and fluid-flow numerical modelling results with subsequent detailed structural mineralisation analysis at Wallaby

Comparison of predictive deformation and fluid-flow numerical modelling results with subsequent detailed structural mineralisation analysis at Wallaby

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

A Critical Review of Spatial Predictive Modeling Process in Environmental Sciences with Reproducible Examples in R

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

North American Multi-Model Ensemble (NMME) Seasonal Prediction System

Supplemental data for 'Pore network model predictions of Darcy-scale multiphase flow heterogeneity validated by experiments'

Supplemental data for 'Pore network model predictions of Darcy-scale multiphase flow heterogeneity validated by experiments'

Models of the upper crust from wide-angle and reflection studies, Northeast Yilgarn: Why we need both Predictive Mineral Discovery Cooperative Research Centre, Barossa Conference Poster

Antarctic Mesoscale Prediction System (AMPS): real-time numerical weather prediction model output at 4.5 and 6km resolution for the Antarctic

Antarctic Mesoscale Prediction System (AMPS): real-time numerical weather prediction model output at 4.5 and 6km resolution for the Antarctic

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).

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

Predictive model of graphite

Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

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