A glossary of 'article types' defined by each journal as constituting original research was compiled and, for each journal, a vector of integers was generated in RStudio corresponding to the total number of original research articles published in 2 months (excluding review articles). From the vector for each journal, random sampling was used to select 20 articles, i.e., by selection of 20 random integers and matching of these to a chronological list of the articles. Assessment of the data objects associated with the selected articles was then carried out. The inclusion of 18 possible data types generated in each research article were recorded using Yes/No binary responses. Each research article was then assessed against 9 categorical variables that describe the main features of the paper and its associated data, and against 17 'FAIR' variables that measure the extent to which the data meet FAIR data standards. These FAIR variables are defined in Table . The coding of responses, list of data types associated with each article, and the resulting main dataset from assessment of 240 research papers are available in the SI. As all research articles include results based on original (raw) data, and include previously unreported chemical structures, every manuscript was assigned a response to the criteria defined in Find_1, Find_4, and Access_3.