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What Types of Data are Crucial?

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.

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