Experimental datasets on intermittency and observability in networks of electronic oscillators. Analogue and hybrid...

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.