1,118 datasets found

The total size of the EHL Data is 305 MB, and the images’ resolutions vary quite a lot. Some Covid-19 images are about 1239x1024 and other normal images in the dataset are...

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...

The tropospheric ozone assessment report (TOAR; http://www.igacproject.org/activities/TOAR) is published as a series of peer-reviewed publications in the journal Elementa -...

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

These datasets represent a selection of daily stratospheric diagnostics from the reference simulation of the ECHAM-HAMMOZ chemistry climate model (CCM), which is described in...

Here we provide the source code and required data sets to reproduce all results related to "IntelliO3-ts v1.0: A neural network approach to predict near-surface ozone...

These datasets were extracted from the TOAR database (see https://join.fz-juelich.de) for educational purposes. They contain hourly timeseries of measured and assimilated...

This record contains a part (3/4) of the data used for the manuscript "Representing chemical history in ozone time-series predictions - a model experiment study building on the...

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...

Subset of the dataset provided by the International Society for Photogrammetry and Remote Sensing (ISPRS), working group II/4, in the framework of a ''2D semantic labeling...

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

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

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...

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...

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...

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...

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...

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...