17 datasets found

Access to an increasing amount of data opens for the application of machine learning models to predict the best combination of models and strategies for bidding of hydro power...

In a recent preprint, entitled: "Development of a machine learning interatomic potential for exploring pressure-dependent kinetics of phase transitions in Germanium", we...

This repository regroups data associated with the manuscript entitled "Deep in situ microscopy for real-time analysis of mammalian cell populations in bioreactors". In this...

Here, we present model files and example scripts for the Neural network-based model of Electron density in the Topside ionosphere (NET). The model is based on radio occultation...

This dataset contains a selection of the CORA database (http://doi.org/10.17882/46219) for the Gulf Stream Extension region, with several gridded products colocated at the time...

This dataset contains the input of the model for neural network with a UResNet architecture for application as surrogate model for the prediction of magnetic stray fields in...

With the growing use of airborne platforms in Earth observation, accurate tropospheric delay corrections across various altitudes have become essential. Most existing...

This record contains data for the manuskript "Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour...

This source code contains all methods that is being used in ozone mapping project. In addition, it contains scripts to run both explainable AI methods and methods used to study...

This record contains data for the manuscript "O3ResNet: A deep learning based forecast system to predict local ground-level daily maximum 8-hour average ozone in rural and...

MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of...

This record contains data for the manuscript "O3ResNet: A deep learning based forecast system to predict local ground-level daily maximum 8-hour average ozone" by L. H. Leufen,...

This record contains data for the manuskript "Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour...

This record contains all experiment data for the manuskript "Exploring decomposition of temporal patterns to facilitate learning of neural networks for near-surface dma8eu ozone...

MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of...

File descriptions: verif_inputs.zip and verif_case_inputs.zip Contain folders of raw PGM composites, containing needed input data for verification experiments, that is for the...

Neural network developed to segment ants from tomographic datasets acquired within the Antscan initiative (https://www.antscan.info), detailed in Katzke et al. 2025. This...