Large datasets in the context of catalysis refer to extensive collections of data generated from various experimental and computational studies. These datasets can include information on reaction kinetics, catalyst properties, reaction mechanisms, and performance metrics. The advent of high-throughput experimentation and advanced computational tools has significantly increased the volume of data available for analysis in this field.
