BIDS-formatted resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG dataset from healthy women

Here, we describe a publicly available electroencephalography (EEG) dataset recorded from 69 healthy women (aged 19-40). Data were acquired using a 64-channel BioSemi ActiveTwo system (10-10 electrode positions) at a sampling rate of 2048 Hz. The dataset includes two EEG paradigms: (1) a resting-state recording consisting of four minutes with eyes closed followed by four minutes with eyes open (available for all 69 participants), and (2) a loudness dependence of auditory evoked potentials (LDAEP) paradigm comprising 1000 Hz tones at five intensity levels (55-95 dB SPL; available for 54 participants). The dataset also includes demographic variables, hormonal contraceptive (HC) usage information, menstrual cycle data, Beck Depression Inventory-II (BDI-II) scores, and UPPS Impulsive Behavior Scale subscale scores. The data are organized according to the Brain Imaging Data Structure (BIDS) specification and hosted on OpenNeuro. The dataset is suitable for research on resting-state EEG, LDAEP, hormone-related variation in brain electrophysiology, and machine learning applications.