Several types of data are crucial in the field of catalysis: - Experimental Data: This includes data from laboratory experiments, such as reaction rates, product yields, and conditions. - Computational Data: Simulation and modeling data that predict catalytic behavior and mechanisms. - Characterization Data: Information about the physical and chemical properties of catalysts, including surface area, pore size, and active sites. - Literature Data: Published data that provide insights into previous research findings and methodologies.