10.26165/JUELICH-DATA/PYGQTOZerressen, SarahSarahZerressenIET-4Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in PythonJülich DATA2025ChemistryEngineeringZerressen, SarahSarahZerressenIET-42024-12-102025-05-2110.1016/j.ijhydene.2025.03.3875590259168679746209527575081693197220713668897027714502552537754156text/csvtext/csvtext/csvapplication/zipapplication/octet-streamtext/x-pythontext/csvtext/csvtext/plaintext/x-pythontext/csv2.0We created a semi-synthetic wind profile from wind turbine data and converted it to current and potential profiles for PEM and alkaline water electrolysis cells with a maximum power output of 40 and 4 W respectively. Then we conducted dynamic electrolysis with these profiles for up to 961 h with PEMWE and AWE single cells. The data obtained from the dynamic operation are included in the dataset. We applied two analysis methods to our datasets in Python to extract performance data from the electrolysis cells like I-V-curves, current density dependent cell voltage changes and resistances. The Python code is also part of the dataset.