A smart water quality monitoring dataset for interdisciplinary literature recognition

This dataset was mainly obtained through literature search tools such as Web of Science and Research Rabbit. The process of data acquisition includes two steps. Firstly, by constructing retrieval equations, partial literature data (referred to as raw data) from three fields, namely smart water quality monitoring (interdisciplinary field), artificial intelligence (non interdisciplinary field), and traditional water quality analysis (non interdisciplinary field), were retrieved separately in Web of Science. Then, based on the DOI of the raw data, literature search was conducted in the Research Rabbit system to obtain the references and citations of each raw data. The dataset contains a total of 5826 articles, including 2436 interdisciplinary articles and 3390 non interdisciplinary articles.