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Central European (DE/AT/CH/NL) Extreme Precipitation and Temperature Anomaly Data (1899-2016)
(2019)The dataset is comprised of annual, half-year and seasonal single-day and consecutive multi-day (1-day, 3-day, 5-day, 7-day, 31-day) precipitation maxima retrieved from 940 stations in Germany (496 stations), Austria (222), Switzerland (186), and the Netherlands (36) between 1899 and 2016. Furthermore, annual, half-year and seasonal Northern Hemispheric and regional averaged HadCRUT 4.6 temperature anomalies are provided as covariate data.Dataset -
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GRUN: Global Runoff Reconstruction (GRUN_v1)
(2019)The dataset contains a gridded global reconstruction of monthly runoff timeseries. In-situ streamflow observations from the GSIM dataset are used to train a machine learning algorithm that predicts monthly runoff rates based on antecedent precipitation and temperature from the Global Soil Wetness Project Phase 3 (GSWP3) meteorological forcing dataset. We thank Prof. Dr. Hyungjun Kim for developing the GSWP3 dataset and providing us with ...Dataset -
Data for 'Identifying key driving processes of major recent heatwaves'
(2019)This data accompanies the publication 'Identifying key driving processes of major recent heatwaves' in JGR: Atmospheres. All necessary files to reproduce the figures are provided in the tar-compressed folder. The folder also contains a README file with further instructions on the use.Dataset -
Underlying and Resulting Data of Sentiment Analysis on Tweets about CRISPR/Cas9
(2019)Partial, labelled and anonymised tweet objects, output from the annotation process and resulting machine learning models.Data Collection