289 datasets found

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 file has been obtained from the Tropospheric Ozone Assessment Report database described by Schultz, M.G. et al., Elementa Sci. Anthrop., 2017,...

In this entry a collection of internal publications, presentations, slides and reports from DeepRain. DeepRain is funded by the Bundesministerium für Bildung und Forschung...

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...

In this entry a collection of internal publications, presentations, slides and reports from DeepRain. DeepRain is funded by the Bundesministerium für Bildung und Forschung...

In this entry a collection of internal publications, presentations, slides and reports from DeepRain. DeepRain is funded by the Bundesministerium für Bildung und Forschung...

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...

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...

In this entry a collection of internal publications, presentations, slides and reports from DeepRain. DeepRain is funded by the Bundesministerium für Bildung und Forschung...

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

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

Data accompanying the publication "Assessment of a subgrid-scale model for convection-dominated mass transfer for the initial transient rise of a bubble".

The AQ-Bench Benchmark dataset as described in Betancourt et al. (2021): "AQ-Bench: a benchmark dataset for machine learning on global air quality metrics"...

The HDF5 file was created using the Python package nanite. It contains 1132 raw atomic force microscopy (AFM) force-indentation curves of zebrafish spinal cord sections, the...

This repository contains measurement data that are presented in the paper "Modified Dynamic Time Warping with a Reference Path for Alignment of Repeated Drive-Tests" Submitted...

This is a gridded version of the AQ-Bench variables. The AQ-Bench dataset and its documentation is available via Betancourt et al. (2021): "AQ-Bench: a benchmark dataset for...

The HDF5 file was created using the Python package nanite. It contains 1132 raw atomic force microscopy (AFM) force-indentation curves of zebrafish spinal cord sections, the...

Four data sets used for the benchmark of HPDBSCAN. Collection of geo-tagged Twitter data: This set has been collected and made available to us by Junjun Yin form the National...