title: Synchronization of networks of chaotic oscillators: Structural and dynamical datasets.
abstract: We provide the topological structure of a series ofN=28 Rössler chaotic oscillators diffusively coupled through one of its variables. The dynamics of theyvariable describing the evolution of the individual nodes of the network are given for a wide range of coupling strengths. Datasets capture the transition from the unsynchronized behavior to the synchronized one, as a function of the coupling strength between oscillators. The fact that both the underlying topology of the system and the dynamics of the nodes are given together makes this dataset a suitable candidate to evaluate the interplay between functional and structural networks and serve as a benchmark to quantify the ability of a given algorithm to extract the structural network of connections from the observation of the dynamics of the nodes. At the same time, it is possible to use the dataset to analyze the different dynamical properties (randomness, complexity, reproducibility, etc.) of an ensemble of oscillators as a function of the coupling strength.
authors.affiliation: Centro Universitario de los Lagos, Universidad de Guadalajara, Jalisco 47460, Mexico.
authors.forename: Ricardo
authors.initials: R
authors.lastname: Sevilla-Escoboza
authors.affiliation: Complex Systems Group & GISC, Universidad Rey Juan Carlos, 28933 Móstoles, Madrid, Spain; Center for Biomedical Technology, UPM, 28223 Pozuelo de Alarcón, Madrid, Spain.
authors.forename: Javier M
authors.initials: JM
authors.lastname: Buldú
keywords: Complex networks; Nonlinear dynamics; Synchronization