UV_EEG is an EEG dataset by Yukako Ito, distributed in BIDS format. It is mirrored on NEMAR from the original OpenNeuro deposit (ds005274). The README provides no further details about participants, experimental paradigm, or acquisition.
…82901/nemar.on004515) Affective state reinforcement learning task in N=54 Community…
EEG recordings from participants performing two reversal learning tasks that differ in reinforcer type: monetary reward versus avoidance of an aversive loud white noise burst. In the reward task, positive feedback meant a gain of 10 cents and negative feedback meant no gain. In the punishment task, positive feedback meant the noise burst was successfully avoided and negative feedback meant the noise was delivered. Noise intensity was titrated per participant to match the motivational value of the 10 cent reward.
…raw EEG recordings in resting state from healthy participants with no current…
…Young Adult Resting State and Auditory Oddball Task EEG Data ## What is…
EEG dataset from a long-duration simulated driving study in which participants drove in a visually complex environment with lateral vehicle perturbations, a vigilance task (detecting police vehicles), and different background audio conditions (task-relevant, non-task-relevant, internal focus). The study aimed to identify markers of driver fatigue and mind wandering during prolonged time-on-task, in comparison with a non-fatigued calibration driving session. Data include 64-channel BioSemi EEG, eye tracking, and vehicle logs.
A multi-modal neuroimaging dataset combining structural MRI (T1w), magnetoencephalography (MEG), and EEG recorded during electrical median nerve stimulation at the right wrist. Participants responded to each stimulus by lifting the left index finger as quickly as possible, allowing study of somatosensory and motor responses. Anatomical fiducials were digitized to align MEG with MRI, and event triggers mark stimuli and finger-lift responses.
ERP CORE (Compendium of Open Resources and Experiments) is an open resource of raw EEG recordings from 40 neurotypical adults performing six optimized task paradigms. The paradigms elicit seven widely used ERP components: N170, MMN, N2pc, N400, P3, LRP and ERN. The dataset includes event code schemes, task stimuli for the N170, MMN and N400 paradigms, and participant demographics.
…Brain-Computer Music Interface for Monitoring and Inducing Affective States (BCMI-MIdAS…
This dataset contains intracranial recordings acquired in humans using the CorTec BrainInterchange implantable device together with BCI2000 software. It supports the development of an ecosystem of technology and protocols for adaptive neuromodulation research. The data are shared in BIDS format with iEEG recordings.