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Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Silicon-29 NMR Experimental Datasets from Silicon-29 Echo Train Coherence Lifetimes and Geminal J-Couplings in Network Modified Silicate Glasses

Authors: Jardón-Álvareza, Daniel; Bovee, Mark O.; Grandinetti, Phlip J.;

Silicon-29 NMR Experimental Datasets from Silicon-29 Echo Train Coherence Lifetimes and Geminal J-Couplings in Network Modified Silicate Glasses

Abstract

Silicon-29 Phase-Incremented Echo-Train Acquisition Nuclear Magnetic Resonance datasets that are analyzed to obtain the data in the figures of the paper "Silicon-29 Echo Train Coherence Lifetimes and Geminal 2J-Couplings in Network Modified Silicate Glasses." Details of the csdf dataset format are given in PLOS ONE, 15(1): e0225953 (2020), "Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data," D. Srivastava, T. Vosegaard, D. Massiot, and P.J. Grandinetti. The data within csdf files can be accessed with the Python package csdmpy, or other CSDM-compliant software.

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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.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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