In the context of catalysis, high dimensional datasets refer to large, complex collections of data that encompass multiple variables or features. These datasets often arise from experimental studies, simulations, and various characterization techniques used to understand catalytic processes. The data can include information on reactant and product concentrations, temperature, pressure, catalyst composition, and surface properties, among other parameters.
