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Abstract

cwepr is a Python package for processing and analysis of continuous-wave electron paramagnetic resonance (cw-EPR) spectra based on the ASpecD framework and focussing on reproducibility. In short: Each and every processing step applied to your data will be recorded and can be traced back, and additionally, for each representation of your data (e.g., figures, tables) you can easily follow how the data shown have been processed and where they originate from. What is even better: Actual data processing and analysis no longer requires programming skills, but is as simple as writing a text file summarising all the steps you want to have been performed on your dataset(s) in an organised way.

If you use this software, please cite both the article from preferred-citation and the software itself.

Keywords

magnetic resonance, spectroscopy, recipe-driven data analysis, electron paramagnetic resonance spectroscopy, good scientific practice, data processing and analysis, reproducible research, reproducible science, EPR spectroscopy

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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