Dataset title: Hybrid high-performance oxygen reduction reaction Fe–N–C electrocatalyst for anion exchange membrane fuel cells
Authors: Zubair Ahmed, Srinu Akula, Jekaterina Kozlova, Helle-Mai Piirsoo, Kaupo Kukli, Arvo Kikas, Vambola Kisand, Maike Käärik, Jaan Leis, Alexey Treshchalov,  Jaan Aruväli, Kaido Tammeveski

Contact information: 
Kaido Tammeveski (kaido.tammeveski@ut.ee)
Institute of Chemistry
University of Tartu
Ravila 14a
50411 Tartu
Estonia

This dataset contains the data presented in the figures of the published paper “Hybrid high-performance oxygen reduction reaction Fe–N–C electrocatalyst for anion exchange membrane fuel cells” in 
International Journal of Hydrogen Energy (2024), 62, 849-858 
(https://doi.org/10.1016/j.ijhydene.2024.03.055).
This dataset contains data for Figures 4-6 
The data was collected using potentiostat/galvanostat (Autolab PGSTAT30 Metrohm Autolab). Glassy carbon (GC) disks with diameters of 5 mm for RDE and 4 mm for RRDE were used as working electrodes. 
For all supplied electrochemical data, the measured currents have been converted from current (A) to current densities (mA/cm2, which is multiplied by 1000 and divided by 0.196 cm2 and 0.164 cm2 for RRDE). 
For Figure 6, the Fuel cell measurements were done on a Greenlight Fuel Cell Test Station (G40 Fuel Cell System, Hydrogenics, Canada) and converted to current densities (after dividing by 4.85 cm2).

License: 
Elsevier Text and Data Mining (TDM) License

Funding: 
The present research was financially supported by the Estonian Research Council (grants PRG723, PRG753, PRG1509, and SJD67). 
This work was also supported by the Estonian Ministry of Education and Research (TK210, Centre of Excellence in Sustainable Green Hydrogen and Energy Technologies).