1,182 datasets found

This record contains a part (1/4) of the data used for the manuscript "Representing chemical history in ozone time-series predictions - a model experiment study building on the...

The original image was taken at the ESO Paranal Observatory in Chile by the Visible and Infrared Survey Telescope for Astronomy (VISTA), that is available at...

A training and testing dataset The dataset contains labelled images of thin-film modules collected during the PEARL project. This dataset is used in this paper:...

Here we provide the source code and required data sets to reproduce all results related to "Representing chemical history in ozone time-series predictions - a model experiment...

The AutoQA4Env is a tool for automated quality assessment of the environmental data time series. In this version of the tool, the implemented tests only provide the qc flags...

These datasets represent a selection of the most important output variables from the reference simulation of the ECHAM-HAMMOZ chemistry climate model (CCM), which is described...

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...

"gps time utc": unix timestamp "timestr": time string in the format "%Y-%m-%d_%H:%M:%S" with UTC time zone (reformatted "gps time utc") "latitude", "longitude": gps...

These datasets represent a selection of the most important output variables from the reference simulation of the ECHAM-HAMMOZ chemistry climate model (CCM), which is described...

Data set provides information about capillary pressure-saturation-relative air permeability for thirty one soil samples. And the introduction of the data source compiled in the...

The Integrated Rule-Oriented Data System (iRODS) is open source data management software used by research, commercial, and governmental organizations worldwide.

The original BigEarth consists of 590326 patches extracted from 125 tiles (Level 2A) acquired by Sentinel 2 from June 2017 to May 2018 [1]. A number of labels is associated with...

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 record contains a part (2/4) of the data used for the manuscript "Representing chemical history in ozone time-series predictions - a model experiment study building on the...

The AutoQA4Env is a tool for automated quality assessment of the environmental data time series. In this version of the tool, the implemented test is based on the suggested...

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...

Poster "Forecasting near-surface ozone using temporally decomposed input variables and deep neural networks" and preprint "O3ResNet: A deep learning based forecast system to...

This data set includes the raw data of test cases, postprocessing method and final results for the numerical simulations presented in the article.

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,...