The growth of the Electric Vehicle (EV) fleet facilitates a shift towards carbon-neutral transport, yet the power grid faces challenges with the increasing number of chargers. Developing smart charging algorithms for conventional and bidirectional charging EVs requires detailed knowledge of their charging characteristics. Currently, there are only a few public datasets with real-world EV charging profiles, especially for bidirectional charging. This paper introduces an open-access dataset with 142 EV charging profiles, focusing on the static and dynamic aspects of charging and discharging. The dataset has various applications, such as providing a resource for academic research in simulation studies or for the planning and operation of charging points. In addition, it provides valuable insights for policymakers and regulators seeking to understand the impacts of EV charging on grids. In this paper, a numerical analysis of reactive power characteristics, current harmonics, and bidirectional DC charger efficiency is performed as illustrative examples of its application. Furthermore, the contribution of this dataset for comparing performance and validating state of charge estimation models is emphasised. The dataset is publicly available for download here: https://doi.org/10.5281/zenodo.14065331