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.
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SoulChat2.0 is a framework for constructing the digital twin of psychological counselors, designed to support the development of AI applications in mental health. It includes a data generation module and a modeling module, enabling the creation of personalized counseling models based on limited real-world counseling cases.
This dataset contains survey responses from individuals in the tech industry about their mental health, including questions about treatment, workplace resources, and attitudes towards discussing mental health in the workplace. By analyzing this dataset, we can better understand how prevalent mental health issues are among those who work in the tech sector—and what kinds of resources they rely upon to find help—so that more can be done to create a healthier working environment for all.