The Substance Abuse and Mental Health Data Archive (SAMHDA) provides a comprehensive collection of data sets related to mental health and substance use. It includes ongoing studies, population surveys, treatment facility surveys, and client-level data, offering valuable insights for researchers and policymakers.
SAMHDA is a valuable resource for researchers and professionals interested in mental health and substance use data. It provides a wide range of data sets, including the National Mental Health Services Survey (N-MHSS), Mental Health Client-Level Data (MH-CLD), and the National Survey on Drug Use and Health (NSDUH). These data sets cover various aspects of mental health and substance use, from treatment facilities to individual-level data, and are essential for understanding and addressing related issues.
An evolving list of electronic media datasets used to model mental health status. This repository curates a variety of datasets from different sources, including social media platforms, online forums, and academic studies, to support research in mental health modeling and AI applications.
The Emotional First Aid Raw Dataset is a collection of raw, unannotated psychological counseling Q&A data, designed to support research in AI applications for mental health. It contains over 172,000 topics with 2,381,273 messages, totaling 44,514,786 characters, providing a rich source of data for natural language processing and AI development.
The ISSP is a cross-national collaboration program conducting annual surveys on diverse topics relevant to social sciences. It includes members from various cultures around the globe and provides free access to collected data and documentation.