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Software . 2025
License: http://opensource.org/licenses/BSD-2-Clause
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License: http://opensource.org/licenses/BSD-2-Clause
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NMRAspecds

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 10 Aug 2024Publisher:Zenodo
Authors: Schröder, Mirjam;
Code repository: https://github.com/MirjamSchr/nmraspecds/tree/v0.2.0

doi: 10.5281/zenodo.14634698 , 10.5281/zenodo.13293054 , 10.5281/zenodo.13294618 , 10.5281/zenodo.13293055

Abstract

NMRAspecds is a Python package for processing and analysis of nuclear magnetic resonance (NMR) data based on the ASpecD framework and focussing on reproducibility.

Keywords

magnetic resonance, spectroscopy, NMR spectroscopy, recipe-driven data analysis, good scientific practice, data processing and analysis, reproducible research, reproducible science, nuclear magnetic resonance spectroscopy

  • BIP!
    Impact byBIP!
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    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
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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!
0
Average
Average
Average