Experimental datasets on intermittency and observability in networks of electronic oscillators. Analogue and hybrid configuration.
Overview
- Unidad Profesional Interdisciplinaria de Ingeniería Campus Guanajuato, Instituto Politécnico Nacional, Silao de la Victoria, Guanajuato 36275, México
- Universidad Virtual del Estado de Guanajuato, Purísima de Bustos 36400, Guanajuato, México
- Centro Universitario de los Lagos, Universidad de Guadalajara, Lagos de Moreno, Jalisco 47460, México
- Complex Systems Group & GISC, Universidad Rey Juan Carlos, Móstoles 28933, Spain
- Center for Biomedical Technology, Universidad Politécnica de Madrid, Pozuelo de Alarcón, Madrid 28223, Spain
Abstract
Synchronization phenomena are pervasive in nature and appear across a wide range of scientific areas, including physics, biology, and engineering. These phenomena describe how interacting dynamical systems tend to coordinate their behavior over time. In many cases, the transition toward a fully synchronized state is neither immediate nor continuous; instead, it consists of intermittent dynamics characterized by alternating intervals of coherent behavior, where the systems evolve in unison, and bursts of desynchronized activity. Such intermittent synchronization has been extensively observed in biological systems, particularly in ensembles of neurons, where it plays a fundamental role in processes such as information transmission and cognitive function. The data sets presented in this work originate from two distinct experimental setups involving networks of 28 chaotic electronic oscillators based on the Rössler-like system. In the first approach, the networks are constructed entirely with analog electronic components, and in the second approach, the hybrid, we use a real-time datacard for the coupling with the electronic circuits. For the two experimental setup approaches, the oscillators are interconnected in a Watts-Strogatz (WS) small-world network or an Erdős–Rényi (ER) random topology. We consider that the datasets derived from these four experiments offer valuable resources for researchers aiming to analyze and validate theoretical models of synchronization. They are suitable for systematic studies on the influence of weak linear coupling strengths in the route to synchronized states.
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
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Data
Datasets cited
- zenodo:17451096, at Zenodo; found in “Data Availability”
- zenodo:17451530, at Zenodo; found in “Data Availability”
Data Availability
ZENODODataset on complex networks exhibit intermittent synchronization (Original data) (https://
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
Versions
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Version 1, 29 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 6 authors, 5 keywords, 3 funders, 5 references.
Cite
This paper
Vera-Ávila, V., Rivera-Durón, R., Rodríguez-Ornelas, J., Vázquez-Fuentes, E., Leyva, I., & Sevilla-Escoboza, J. R. (2026). Experimental datasets on intermittency and observability in networks of electronic oscillators. Analogue and hybrid configuration. Data in brief, 66, 112785. https://
BibTeX
@article{veraavila2026ex
author = {Vera-Ávila, V.P. and Rivera-Durón, R.R. and Rodríguez-Ornelas, J.M. and Vázquez-Fuentes, E. and Leyva, I. and Sevilla-Escoboza, J. R.},
title = {{Experimental datasets on intermittency and observability in networks of electronic oscillators. Analogue and hybrid configuration}},
journal = {Data in brief},
year = {2026},
month = apr,
volume = {66},
pages = {112785},
publisher = {Elsevier},
issn = {2352-3409},
doi = {10.1016/
url = {https://
pmid = {42080008},
pmcid = {PMC13129368}
}
RIS
TY - JOUR
AU - Vera-Ávila, V.P.
AU - Rivera-Durón, R.R.
AU - Rodríguez-Ornelas, J.M.
AU - Vázquez-Fuentes, E.
AU - Leyva, I.
AU - Sevilla-Escoboza, J. R.
TI - Experimental datasets on intermittency and observability in networks of electronic oscillators. Analogue and hybrid configuration
T2 - Data in brief
J2 - Data Brief
PY - 2026
DA - 2026/
VL - 66
SP - 112785
SN - 2352-3409
PB - Elsevier
DO - 10.1016/
UR - https://
LA - en
ER -
CSL-JSON
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