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Update README.md (#141)
* Update README.md * Update Project.toml
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Project.toml

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uuid = "c804724b-8c18-5caa-8579-6025a0767c70"
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authors = ["Kristian Agasøster Haaga <kahaaga@gmail.com>", "George Datseris"]
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repo = "https://github.com/JuliaDynamics/TimeseriesSurrogates.jl.git"
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version = "2.1.0"
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version = "2.1.1"
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[deps]
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AbstractFFTs = "621f4979-c628-5d54-868e-fcf4e3e8185c"

README.md

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[![codecov](https://codecov.io/gh/JuliaDynamics/TimeseriesSurrogates.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/JuliaDynamics/TimeseriesSurrogates.jl)
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[![Package Downloads](https://shields.io/endpoint?url=https://pkgs.genieframework.com/api/v1/badge/TimeseriesSurrogates)](https://pkgs.genieframework.com?packages=TimeseriesSurrogates)
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A Julia module that offers various tools for analysing nonlinear dynamics and chaotic behaviour.
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A Julia package for generating timeseries surrogates. TimeseriesSurrogates.jl is the fastest and most featureful open source code for generating timeseries surrogates.
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It can be used as a standalone package, or as part of
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[DynamicalSystems.jl](https://juliadynamics.github.io/DynamicalSystems.jl/dev/).
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title = {TimeseriesSurrogates.jl: a Julia package for generating surrogate data},
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journal = {Journal of Open Source Software}
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}
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```
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```

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