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Experimental datasets of networks of nonlinear oscillators: Structure and dynamics during the path to synchronization
The analysis of the interplay between structural and functional networks require experiments where both the specific structure of the connections between nodes and the time series of the underlying dynamical units are known at the same time. However, real datasets typically contain only one of the t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961064/ https://www.ncbi.nlm.nih.gov/pubmed/31956667 http://dx.doi.org/10.1016/j.dib.2019.105012 |
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author | Vera-Ávila, V.P. Sevilla-Escoboza, Ricardo Lozano-Sánchez, A.A. Rivera-Durón, R.R. Buldú, Javier M. |
author_facet | Vera-Ávila, V.P. Sevilla-Escoboza, Ricardo Lozano-Sánchez, A.A. Rivera-Durón, R.R. Buldú, Javier M. |
author_sort | Vera-Ávila, V.P. |
collection | PubMed |
description | The analysis of the interplay between structural and functional networks require experiments where both the specific structure of the connections between nodes and the time series of the underlying dynamical units are known at the same time. However, real datasets typically contain only one of the two ways (structural or functional) a network can be observed. Here, we provide experimental recordings of the dynamics of 28 nonlinear electronic circuits coupled in 20 different network configurations. For each network, we modify the coupling strength between circuits, going from an incoherent state of the system to a complete synchronization scenario. Time series containing 30000 points are recorded using a data-acquisition card capturing the analogic output of each circuit. The experiment is repeated three times for each network structure allowing to track the path to the synchronized state both at the level of the nodes (with its direct neighbours) and at the whole network. These datasets can be useful to test new metrics to evaluate the coordination between dynamical systems and to investigate to what extent the coupling strength is related to the correlation between functional and structural networks. |
format | Online Article Text |
id | pubmed-6961064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69610642020-01-17 Experimental datasets of networks of nonlinear oscillators: Structure and dynamics during the path to synchronization Vera-Ávila, V.P. Sevilla-Escoboza, Ricardo Lozano-Sánchez, A.A. Rivera-Durón, R.R. Buldú, Javier M. Data Brief Engineering The analysis of the interplay between structural and functional networks require experiments where both the specific structure of the connections between nodes and the time series of the underlying dynamical units are known at the same time. However, real datasets typically contain only one of the two ways (structural or functional) a network can be observed. Here, we provide experimental recordings of the dynamics of 28 nonlinear electronic circuits coupled in 20 different network configurations. For each network, we modify the coupling strength between circuits, going from an incoherent state of the system to a complete synchronization scenario. Time series containing 30000 points are recorded using a data-acquisition card capturing the analogic output of each circuit. The experiment is repeated three times for each network structure allowing to track the path to the synchronized state both at the level of the nodes (with its direct neighbours) and at the whole network. These datasets can be useful to test new metrics to evaluate the coordination between dynamical systems and to investigate to what extent the coupling strength is related to the correlation between functional and structural networks. Elsevier 2019-12-18 /pmc/articles/PMC6961064/ /pubmed/31956667 http://dx.doi.org/10.1016/j.dib.2019.105012 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Engineering Vera-Ávila, V.P. Sevilla-Escoboza, Ricardo Lozano-Sánchez, A.A. Rivera-Durón, R.R. Buldú, Javier M. Experimental datasets of networks of nonlinear oscillators: Structure and dynamics during the path to synchronization |
title | Experimental datasets of networks of nonlinear oscillators: Structure and dynamics during the path to synchronization |
title_full | Experimental datasets of networks of nonlinear oscillators: Structure and dynamics during the path to synchronization |
title_fullStr | Experimental datasets of networks of nonlinear oscillators: Structure and dynamics during the path to synchronization |
title_full_unstemmed | Experimental datasets of networks of nonlinear oscillators: Structure and dynamics during the path to synchronization |
title_short | Experimental datasets of networks of nonlinear oscillators: Structure and dynamics during the path to synchronization |
title_sort | experimental datasets of networks of nonlinear oscillators: structure and dynamics during the path to synchronization |
topic | Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961064/ https://www.ncbi.nlm.nih.gov/pubmed/31956667 http://dx.doi.org/10.1016/j.dib.2019.105012 |
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