In addition to classic catalytic materials like noble metals, DigCat also provides the most comprehensive collection of experimental data from literature on various M-N-C electrocatalysts as of September 12, 2024. This includes emerging non-noble metal systems such as single-atom and multi-atom metal cluster-doped defective graphene, single-atom molecular fragment catalysts, covalent organic frameworks (COFs), metal-organic frameworks (MOFs), and metal-doped graphitic carbon nitride (g-C 3 N 4 ). Users can select the reaction type and material type, and the platform will automatically display performance data with the year on the horizontal axis by default (FIG. ). By adjusting the axis types or entering specific elements of interest (FIG. ), users can easily achieve dynamic data visualization. The platform also offers categorized data analysis, such as classifying experimental data by testing pH values and displaying performance charts under different pH conditions (FIG. ). For specific requirements, a sliding bar allows users to filter data based on reaction conditions, making the search process more efficient. Additionally, for emerging research areas like seawater electrolysis, magnetic catalysis, mediated ammonia synthesis, and mediated epoxidation, the platform supports one-click filtering of relevant literature.