Creative Commons Attribution Share Alike 4.0 InternationalHofmann TobiasHofmann TobiasSayilgan CemSayilgan CemDuesdieker MarcoDuesdieker MarcoHamar JacobHamar JacobSturm JohannesSturm JohannesErhard SimonErhard SimonJossen AndreasJossen AndreasSchmidt Jan PhilippSchmidt Jan Philipp2026-06-252026-06-25https://rdspace.uni-bayreuth.de/handle/rdspace-ubt/963https://doi.org/10.57880/rdspace-ubt-54https://doi.org/10.57880/rdspace-ubt-54Accurate modeling of lithium-ion batteries (LiBs) benefits from detailed knowledge of degradation modes (DMs) and electrode impedance rise, information that is currently unavailable as an open-access dataset. This work presents a comprehensive three-electrode NMC-graphite LiB aging study conducted over nine months, including eleven checkups. Each checkup comprises pseudo-open-circuit voltage measurements, hybrid pulse power characterization, and electrochemical impedance spectroscopy at varying states of charge and temperature. The published dataset not only includes raw data but also provides labels and evaluation scripts for DMs, electrode resistance, impedance, and equivalent circuit model parameters. This dataset is poised to accelerate the development of advanced battery models and fast-charging strategies and can serve as a robust validation dataset for data-driven models. Notably, this dataset is the longest-lasting and most comprehensive, including three-electrode configurations, making it an invaluable resource for researchers and engineers in the field of battery technology.en-USBattery AgingThree-Electrode SetupDegradation ModesImpedanceEISBattery Aging DataEngineering SciencesInformatics, Systems and Electrical EngineeringElectrical Engineering and Information TechnologyElectrical Energy Generation, Distribution, Applicationengineering and technologyelectrical engineering, electronic engineering, inenergy