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pybaselines: A Python library of algorithms for the baseline correction of experimental data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Oct 2022Publisher:Zenodo
Authors: Erb, Donald;
Code repository: https://github.com/derb12/pybaselines/tree/v1.0.0

doi: 10.5281/zenodo.7255880 , 10.5281/zenodo.16790579 , 10.5281/zenodo.10676584 , 10.5281/zenodo.15042711 , 10.5281/zenodo.5608581

pybaselines: A Python library of algorithms for the baseline correction of experimental data

Abstract

pybaselines is a Python library that provides many different algorithms for performing baseline correction on data from experimental techniques such as Raman, FTIR, NMR, XRD, etc.

If citing this software, consider using this metadata.

Keywords

spectroscopy, baseline correction, materials characterization, Python

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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).
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
21
Top 10%
Top 10%
Top 10%
160
5