Our dataset comprises ~350K publications extracted from the CAS Content Collection, the largest human-compiled multi-disciplinary database of published documents and substances, employing a comprehensive search query developed by subject matter experts. The extracted data consisting of a wide range of information, including extensive bibliographic information, CAS indexed concepts and substances, was subjected to NLP to identify frequently used phrases (for detailed description of methods see Supplementary Information and Supplementary Fig . ). Subsequently, these phrases underwent exhaustive manual scrutiny by subject matter experts, forming the basis for calculating the relative rates of publication growth over the period 2020-2022.