Replication Data for: Decoupling magnetic and electric field control in magneto-ionic materials for energy-efficient brain-inspired memory devices

This dataset supports a study on voltage-driven magneto-ionic control of magnetization in CoFeN thin films, aimed at enabling energy-efficient, neuromorphic-inspired functionalities without the use of external magnetic fields. The purpose of the dataset is to provide comprehensive experimental data documenting the electric-field-induced magnetic evolution associated with planar N³⁻ ion migration and its cumulative, non-volatile effects on magnetization. The dataset comprises raw and processed measurements obtained from magnetometry and magneto-optical characterization techniques, including voltage-dependent magnetization loops, remanent-state magnetic responses, and time- and history-dependent switching protocols. Data are organized to capture the influence of applied voltage amplitude, polarity, duration, and sequencing, as well as the role of prior electric and magnetic states. Where applicable, supporting structural or compositional characterization data are included to contextualize the magnetic behavior. The scope of the dataset covers multiple experimental conditions designed to emulate synaptic-like potentiation and depression, as well as cumulative voltage-driven magnetization changes in the absence of an external magnetic field. This dataset is intended to facilitate reproducibility, comparative analysis, and further modeling of magneto-ionic and neuromorphic phenomena, and to serve as a reference for the development of voltage-controlled magnetic devices and brain-inspired computing architectures.