Dataset title: Data of Templated Nitrogen-, Iron-, and Cobalt-Doped Mesoporous Nanocarbon Derived from an Alkylresorcinol Mixture for Anion-Exchange Membrane Fuel Cell Application

Authors: Kaarel Kisand, Ave Sarapuu, John C. Douglin, Arvo Kikas, Alexey Treshchalov, Maike Käärik, Helle-Mai Piirsoo, Päärn Paiste, Jaan Aruväli, Jaan Leis, Vambola Kisand, Aile Tamm, Dario R. Dekel, Kaido Tammeveski

Contact information:
Ave Sarapuu (ave.sarapuu@ut.ee), 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 published paper “Templated Nitrogen-, Iron-, and Cobalt-Doped Mesoporous Nanocarbon Derived from an Alkylresorcinol Mixture for Anion-Exchange Membrane Fuel Cell Application” published in 
ACS Catal. (2022) 22, 14050–14061 (https://doi.org/10.1021/acscatal.2c03683 )
This dataset contains data for Figures 3-4. 

The data was collected using Autolab potentiostat/galvanostat PGSTAT30. The working electrode was bulk glassy carbon disk (0.2 cm2) covered with 100 ?g cm?2 of catalyst.

The data is given as background-corrected current densities (mA/cm2), that is, the background currents, measured in Ar-saturated solution, have been subtracted from the currents measured in O2-saturated solution.

Licence:
This dataset is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Funding:
This work was financially supported by the Estonian Research Council (grants PRG723, PRG4, and PRG1509). This research was also supported by the EU through the European Regional Development Fund (TK141, “Advanced materials and high-technology devices for energy recuperation systems”; TK134, “Emerging orders in quantum and nanomaterials”; and TK143, “Molecular Cell Engineering”).