Supplementary Information (SI) to the pyglotaran release paper

pyglotaran-release-paper-supplementary-information Supplementary Information to 'pyglotaran: a lego-like Python framework for global and target analysis of time resolved spectra' This release contains the data and ipython notebooks to reproduce the results to be published in the accompanying paper. DOI: 10.1007/s43630-023-00460-y What's Changed 🚇 Run CI on push and PR by @s-weigand in https://github.com/glotaran/pyglotaran-release-paper-supplementary-information/pull/17 👌 Improve plots with labels and units by @s-weigand in https://github.com/glotaran/pyglotaran-release-paper-supplementary-information/pull/16 👌 Use minor linlog ticks for 590-400 compare plot concentrations by @s-weigand in https://github.com/glotaran/pyglotaran-release-paper-supplementary-information/pull/18 ⬆️Update environment/requirements with the latest version of pyglotaran by @jsnel in https://github.com/glotaran/pyglotaran-release-paper-supplementary-information/pull/19 🚇 Upload pdfs and evaluated notebooks as release assets by @s-weigand in https://github.com/glotaran/pyglotaran-release-paper-supplementary-information/pull/20 ✨ Add publication details to README.md by @jsnel in https://github.com/glotaran/pyglotaran-release-paper-supplementary-information/pull/21 Full Changelog: https://github.com/glotaran/pyglotaran-release-paper-supplementary-information/compare/ready-for-review...accepted-for-publication

Related Organizations

Vrije Universiteit Amsterdam
Netherlands
Technical University of Berlin
Germany

Keywords

ultrafast spectroscopy, python, photosynthesis, glotaran, biophysics, transient absorption, target analysis, fluorescence, global analysis, time-resolved spectroscopy

Impact byBIP!

	selected citations These citations are derived from selected sources. 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).	0
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average