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The plume model after Jenkins, 2011 (DOI: 10.1175/JPOD1103.1) and Cowton, 2015 (DOI 10.1002/2014JC010324) written in python for rungekutta method.
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The BAtch OBserve Aggregate Package is a small framework for performing numerical experiments on dynamical systems.
Simulation runs are grouped in batches, observed locally and the observations then aggregated.
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Project: Areawise significance tests for recurrence network analysis Jaqueline Lekscha and Reik V. Donner code for analyses performed in corresponding paper (submitted to Proceedings of the Royal Society A)Updated

Bayesian Proxy record estimation along with associated uncertainties
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Codes and data files necessary to generate figures of tutorial review on nonlinear time series analysis using recurrence plots published in Vibration.
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Code repository accompanying the publication: "Networkinduced multistability: Lossy coupling and exotic solitary states"
arXiv:1811.11518 [nlin.AO]
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Contains example scripts for the 'uncertise' package
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UncerTiSe contains Python modules to help analyze time series with uncertainties  developed under the DFG Project "Impacts of uncertainties in climate data analyses (IUCliD)" (DFG MA4759/8).
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temporary repo to overcome git lfs quota issues on github
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Simple examples demonstrating cluster use (via SLURM) in different languages and computation models
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