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STRONG dataset This is a placeholder dataset.

Participants

1

Size

79.2 MB

TX22 dataset: Predicting and influencing trust-based decisions about control authority hand-off and take-over during simulated, semi-automated driving in a leader-follower paradigm.Vehicle survivability is critically important in todays military. Significant DoD investments have focused on developing and integrating autonomous vehicle technologies to mitigate the effects of human error and thus enhance surviability and mission effectiveness. In a previous experiment (SANDR designation: ARL_TX20)

Participants

17

Size

22.3 GB

TX16 dataset

Participants

14

Size

7.66 GB

TX15 dataset

Participants

14

Size

5.21 GB

TX14 dataset: Perform a local situational awareness task while maintaining supervisory control of a semi-autonomous vehicle. This Army’s transition to a leaner, more agile and rapidly-deployable force requires the advent of autonomous technologies and systems, and more reliance on computers and machines. This move from traditional warfare to FCS represents a shift in the human role, as well. Technological advancement has made it so that the role of the user has been transformed from active con

Participants

20

Size

7.31 GB

# Dataset of electrophysiological signals (EEG, ECG, EMG) during Music therapy with adult burn patients in the Intensive Care Unit - README ## Table of Contents - [1. Experimental Design](#1-experimental-design) - [1.1 Study Overview](#11-study-overview) - [1.2 Electrophysiological Measurements](#12-electrophysiological-measurements) - [2. Pain Perception and Anxiety-Depression Levels](#2-pain-perception-and-anxiety-depression-levels) - [3. Code GIT repository](#3-code-GIT-reposit

Participants

9

Size

599 MB

Project Title: Pittsburgh Early Psychosis Program (PEPP): Mismatch Negativity (MMN) in First-Episode Psychosis Expected experimentation period: Start date: 12/01/2017 End date: 09/15/2021 Project Description: Oddball paradigm with standards, pitch deviants and duration deviants. Extended description at: https://doi.org/10.1111/ejn.16107 Participant categories: Healthy controls (HC), First-episode Schizophrenia (FESZ), First-episode Affective Psychosis (FEAFF) Further information about clinica

Participants

60

Size

106 GB

## Overview In the field of neurobiology of language, existing research predominantly focuses on data from a limited number of Indo-European languages and primarily involves younger adults, overlooking other age groups. This experiment aims to address these gaps by creating a comprehensive multimodal database. The primary goal is to advance our understanding of language processing in older adults and the impact of healthy aging on brain-behavior relationships. The experiment involves collectin

Participants

52

Size

37.0 GB

This project contains the data for the publication Lee et al, "Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain". It contains the raw and preprocessed (epoched) intracranial EEG (iEEG) data files for multiple species to test novel high resolution micro-stereo-electrodes for recording neural activity in the brain. The data set involves the use of direct electrical stimulation to examine effects of stimulation in the brain. Data are in the iEEG-BIDS format

Participants

1

Size

689 MB

EEG data for Grootswagers et al 2021 experiment 1 (small letters on big objects) Grootswagers T., Robinson A.K., Shatek S.M., Carlson T.A. (2021). The neural dynamics underlying prioritisation of task-relevant information. Neurons, Behaviour, Data Analysis, and Theory, 5(1) https://doi.org/10.51628/001c.19129 See also https://osf.io/7zhwp/ and https://openneuro.org/datasets/ds004817

Participants

20

Size

9.06 GB