Discover datasets

Information =========== This folder contains the ECoG data from 2 subjects performing a visual task used in the publications of Hermes et al., 2015, Cerebral Cortex "Stimulus Dependence of Gamma Oscillations in Human Visual Cortex" and Hermes et al., 2017, PLOS Biology “Neuronal synchrony and the relation between the blood-oxygen-level dependent response and the local field potential”. Contact: Dora Hermes (dorahermes@gmail.com) Citing this dataset -------- If you use this data as a part of a

Participants

2

Size

577 MB

### Description This dataset contains electroencephalography (EEG) signals recorded from 7 participants while performing an auditory imagery task. Participants were asked to imagine the sounds made by an object for 5 seconds. ### EEG EEG data were acquired with a BioSemi ActiveTwo system with 64 electrodes positioned according to the international 10-20 system, plus one electrode on each earlobe as references ('EXG1' channel is the left ear electrode and 'EXG2' channel is the right ear electro

Participants

7

Size

12.7 GB

### Description This dataset contains simultaneous electroencephalography (EEG) and near-infrared spectroscopy (fNIRS) signals recorded from 12 participants while performing a silent naming task and three sensory-based imagery tasks using visual, auditory, and tactile perception. Participants were asked to visualize an object in their minds, imagine the sounds made by the object, and imagine the feeling of touching the object. ### EEG EEG data were acquired with a BioSemi ActiveTwo system with

Participants

12

Size

24.1 GB

Participants were 43, 5-10-month-old infants. Their caregivers provided informed consent and compensation was provided for their participation. Infant-caregiver dyads were part of a larger study investigating the impact of bias and discrimination on prenatal and postnatal maternal health and infant development. All research was approved by the Duke University Health System Institutional Review Board and carried out in accordance with the Declaration of Helsinki. Infants sat on their caregiver’s

Participants

43

Size

22.7 GB

The following is the README for the “ERC_CoG PROMENADE - WP2 - MetaImagery (Metaphor and Mental Imagery)” dataset \=================== \## License details This dataset is proprietary to the University School for Advanced Studies IUSS Pavia, Italy. Data and script usage is restricted to academic and non-commercial research upon appropriate attribution. All data provided (behavioral and EEG) are licensed under CC-BY-NC-SA, while code scripts are licensed under CC-BY. Data collection was condu

Participants

39

Size

14.8 GB

# The National Institute of Mental Health (NIMH) Research Volunteer (RV) Data Set A comprehensive dataset characterizing healthy research volunteers in terms of clinical assessments, mood-related psychometrics, cognitive function neuropsychological tests, structural and functional magnetic resonance imaging (MRI), along with diffusion tensor imaging (DTI), and a comprehensive magnetoencephalography battery (MEG). In addition, blood samples are currently banked for future genetic analysis. All

Participants

251

Size

663 GB

Participants

14

Size

24.8 GB

RL task (3-armed bandit) with alcohol vs. beverage cues in N=53 Community participants. Data collected from 2019-2021 in the CRCL at UNM. The paper [Campbell, E., Singh, G., Claus, E.D., Witkiewitz,K., Costa, V.D., Hogeveen, J; & Cavanagh, J.F. Electrophysiological markers of aberrant cue-specific exploration in hazardous drinkers] Should be coming out in print soonish. Your best bet for understanding this task would be to read that paper first. For more info on triggers and outputs, se

Participants

53

Size

5.65 GB

Overview The study comprises data of a combined fMRI/EEG experiment. The EEG files contain 63 head channels, ECG, EOG, facial EMG and skin conductance data. A physio file contains respiration and finger-pulse data. In addition, a T1 weighted whole-brain anatomical MR scan, a PD weighted (UTE) scan for electrode localization is provided (defacing was performed using https://github.com/cbinyu/pydeface). Additional data of the participants (T2 weighted images, button press dynamics, hearing thresh

Participants

34

Size

6.41 GB

# README This dataset is a BIDS compatible version of the SeizeIT2 dataset. It reorganizes the file structure to comply with the BIDS specification. To this effect: - Metadata was organized according to BIDS. - Data in the edf files contains wearable EEG, ECG, EMG and movement data recorded with the Sensor Dot device. - Annotations were formatted as BIDS-score compatible `tsv` files. ### Contact person The dataset was published by [Miguel Bhagubai](miguel.bhagubai@esat.kuleuven.be) and [Chri

Participants

125

Size

44.4 GB