1,114 datasets found

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...

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...

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...

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

"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...