CITATION.cff

cff-version: 1.2.0
message: If you use this software, please cite it using these metadata.
title: trepr
abstract: >
    trepr is a Python package for processing and analysis of time-resolved electron paramagnetic resonance (tr-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.
authors:
  - family-names: Popp
    given-names: Jara
  - family-names: Schröder
    given-names: Mirjam
    orcid: "https://orcid.org/0000-0002-8940-3185"
  - family-names: Biskup
    given-names: Till
    orcid: "https://orcid.org/0000-0003-2913-0004"
type: software
license: BSD-2-Clause
repository-code: "https://github.com/tillbiskup/trepr"
keywords:
  - "electron paramagnetic resonance spectroscopy"
  - "time-resolved electron paramagnetic resonance spectroscopy"
  - "tr-EPR spectroscopy"
  - "spectroscopy"
  - "magnetic resonance"
  - "data processing and analysis"
  - "reproducible science"
  - "reproducible research"
  - "good scientific practice"
  - "recipe-driven data analysis"
identifiers:
  - description: "The concept DOI of the work."
    type: doi
    value: 10.5281/zenodo.4897112
references:
  - authors:
    - family-names: Biskup
      given-names: Till
      orcid: "https://orcid.org/0000-0003-2913-0004"
    doi: 10.5281/zenodo.4717937
    repository-code: "https://github.com/tillbiskup/aspecd"
    title: ASpecD
    type: software