摘要:In neuroscience, electroencephalography (EEG) data is often used to extract features (biomarkers) to identify neurological or psychiatric dysfunction or to predict treatment response . At the same time neuroscience is becoming more data-driven, made possible by computational advances . In support of biomarker development and methodologies such as training Artifcial Intelligent (AI) networks we present the extensive Two Decades-Brainclinics Research Archive for Insights in Neurophysiology (TDBRAIN) EEG database . This clinical lifespan database (5–89 years) contains resting-state, raw EEG- data complemented with relevant clinical and demographic data of a heterogenous collection of 1274 psychiatric patients collected between 2001 to 2021. Main indications included are Major Depressive Disorder (MDD; N = 426), attention defcit hyperactivity disorder (ADHD; N = 271), Subjective Memory Complaints (SMC: N = 119) and obsessive-compulsive disorder (OCD; N = 75) . Demographic-, personality- and day of measurement data are included in the database . Thirty percent of clinical and treatment outcome data will remain blinded for prospective validation and replication purposes . The tDBRaIN database and code are available on the Brainclinics Foundation website at www.brainclinics. com/resources and on Synapse at www.synapse.org/TDBRAIN.