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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,764 datasets
Alljoined 1.6M provides over 1.6 million electroencephalography (EEG) visual stimulus trials collected from 20 participants as part of the THINGS initiative. Created by the Alljoined team and documented in arXiv:2508.18571, it contains more than double the volume of the previous THINGS-EEG2 benchmark.
A multimodal dataset containing simultaneous electroencephalography, electrocardiography, and RGB video recordings from yoga practitioners and control participants. The data was collected during resting state, mind-wandering, and concentration tasks, with primary data in BrainVision format. The dataset was authored by alexeykashevnik and last updated on 2026-03-27.
A collection of functions for computing p-values using permutation tests, authored by Jaromil Frossard. It supports regression, ANOVA, ANCOVA, and includes methods for handling nuisance variables and multiple testing corrections. The dataset also provides an extension for comparing signals from experimental conditions, such as EEG/ERP data.
Offering details on publicly available EEG data for schizophrenia research. The dataset is 5.5 KB in size and is available in XLS format. It was authored by Md. Milon Hossain and is licensed under CC BY 4.0.
Offering synaptic time constants, reversal potentials, and peak conductance values for two excitatory (AMPA, NMDA) and two inhibitory (GABAa, GABAb) synapse types. It is a small, 5.5 KB XLS file contributed by author Aaron Miller under a CC BY 4.0 license.
A 9.5 KB Excel file containing hierarchical linear regression models investigating the association between covariates and cognitive domains with the risk of conversion. The dataset was authored by Omid Mirmosayyeb and last updated on March 20, 2026. It is licensed under CC-BY-4.0 and shared via figshare.
A 9.5 KB Excel file containing hierarchical logistic regression models investigating the association between covariates and cognitive domains with conversion risk status. The dataset was authored by Omid Mirmosayyeb and last updated on March 20, 2026. It is licensed under CC-BY-4.0 and shared on the figshare platform.
Australia-wide geological sample data includes attributes for sample number, stratigraphic unit, rock type, location, and radiometric dating results. The database contains approximately 10 Megabytes of information compiled by the Bureau of Mineral Resources (BMR) in Australia. It covers hardrock areas across the country.
A machine learning study on cognitive erosion in Generation Z, conducted in 2026. The dataset likely contains metrics related to cognitive performance or behavioral traits. Its specific contents, size, and origin are not detailed in the available metadata.
Audio feature statistics for approximately 2000 top tracks on Spotify. The data includes about 15 columns describing track qualities such as danceability, energy, and valence, for songs released between 1956 and 2019. It was scraped from the Spotify API via the PlaylistMachinery website.
Named 'eeg-eye-state'. No information is available regarding its contents, size, creator, or creation date.
Joseph P. Simmons from the University of Pennsylvania presents data from computer simulations and two actual experiments demonstrating how flexibility in data collection and analysis increases false-positive rates in psychology. The dataset likely contains results from these simulations and experiments, though specific column details are unavailable. The work proposes a disclosure-based solution involving six requirements for authors and four guidelines for reviewers.
Replication data and code for the paper 'Shock dependent Cognitive Discounting and the Forward Guidance Puzzle' by Agustin Arias, Benjamín García, and Ignacio Rojas. The dataset is hosted on Harvard Dataverse and was last updated on April 13, 2026.
Maxine Annel Pacheco-Ramírez provides a dataset of impedance values recorded from electrodes used in EEG and EOG studies. The 14,004-byte Excel file likely contains tabular data for assessing signal quality across multiple experimental performances. Its availability under a CC-BY-4.0 license facilitates reuse in methodological research on biosignal acquisition.
BifactorIndicesCalculator is an R package for computing bifactor model indices, such as explained common variance (ECV) and hierarchical Omega (OmegaH). It is a version of the 'Excel' based 'Bifactor Indices Calculator' by David Dueber, with added features for using output from confirmatory factor analysis or item response model programs. The package's development is linked to a 2017 publication.
18 megascopic tephra layers from Legs 89 and 90 ocean cores document explosive volcanism in the Southwest Pacific. The data includes chemical composition, with 15 silicic tephras containing 75-78% SiO2, and mineralogy, linking them to volcanic sources in New Zealand and the Ontong-Java Plateau. This record, compiled by Campbell S. Nelson, provides a biased but direct sample of ash dispersal from major eruptions over the last several million years.
Open-Omega-Forge-1M is a curated collection derived from multiple high-quality datasets, designed to enhance reasoning capabilities. The dataset is a focused subset intended to maintain quality and diversity while providing a more manageable size for training and evaluation. It was created by prithivMLmods and last updated on 2026-03-09.
OpenNeuro is a database of openly-available brain imaging data shared under a Creative Commons CC0 license. It primarily focuses on functional magnetic resonance imaging (fMRI) but also includes structural and diffusion MRI, electroencephalography (EEG), and magnetoencephalography (MEG). The resource is a project of the Center for Reproducible Neuroscience at Stanford University, funded by the National Science Foundation, National Institute of Mental Health, National Institute on Drug Abuse, and the Laura and John Arnold Foundation.
An EEG dataset investigating cognitive engagement during distinct AI interaction modes. The dataset was created by Ally Liew and Kashika Khurana and is hosted on Kaggle. The specific collection year is indicated as 2026.
Code for processing Stimulus Based fMRI and Task Based fMRI was authored by Holly Freeman from the Lab for NeuroImaging of Coma and Consciousness Dataverse. The dataset was last updated on April 21, 2026. Its specific contents and scale are not detailed in the provided metadata.