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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,288 datasets
Kaggle hosts the IH_fMRI dataset. The title suggests it contains functional magnetic resonance imaging (fMRI) data, likely related to brain activity. The dataset's author, organization, and specific collection details are unknown.
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.
EEG_Audio is a dataset hosted on Kaggle. Its title suggests it contains recordings of electroencephalography (EEG) signals paired with audio stimuli or recordings. The dataset's specific scope, size, and collection details are not provided in the available metadata.
A dataset titled 'roots_urls_doubleeg' is hosted on Kaggle. The dataset's content is inferred to involve URLs and web link structures, possibly for network or web analysis. No further metadata on size, columns, or origin is available.
Neuroscience data titled 'best_results_neurons' is hosted on Kaggle. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Further inspection after download is required to confirm its structure and potential applications.
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.
A Cognitive Task Analysis report documents strategies used by experienced railroad dispatchers to manage train traffic. The analysis used a hybrid methodology combining field observations at two dispatch centers with structured interviews. The objective was to understand cognitive demands to guide the design of digital communication systems and information displays.
Stanford University research by Lera Boroditsky investigates whether English and Mandarin speakers conceptualize time differently, focusing on the use of horizontal and vertical spatial metaphors. The dataset likely contains experimental results comparing cognitive responses between the two language groups. The work is associated with the Department of Psychology at Stanford University.
Data from the 2011 article 'False-positive psychology' by Simmons, Nelson, and Simonsohn, shared via The Data Ark project. The dataset likely contains information related to undisclosed flexibility in data collection and analysis that can lead to false-positive results. It originates from the University of Pennsylvania and is hosted on the Papers with Code platform.
Human and Mammalian Brain Atlas (HMBA) is a major project of the BRAIN Initiative Cell Atlas Network (BICAN). It aims to establish a highly granular cell atlas linking structure, function, and cellular architecture in complete adult human, macaque, and marmoset brains. Release artifacts are provided by the Allen Institute to support the neuroscience community.
E2M's Disorders and Diagnosis EEG Dataset V5 contains synthetic EEG data generated by the 'bai' model based on real data. The dataset includes 39 features per record, such as demographic attributes, cognitive scores, and EEG electrode readings. It is designed for analyzing patterns related to disorders like Obsessive Compulsive Disorder and Bipolar Disorder.
Disconnectomes likely represent networks of brain connectivity, possibly derived from neuroimaging data. The dataset is hosted on Kaggle, but its specific source, size, and creation details are not provided. Its content and structure must be verified after download.
Data from a cognitive psychology memory experiment investigating semantic relations. The dataset likely contains participant responses from a free recall task with a suffix manipulation. The author, organization, and temporal coverage are unknown.
WordNet is a large lexical database of English developed at Princeton University. It groups nouns, verbs, adjectives, and adverbs into sets of cognitive synonyms (synsets), each expressing a distinct concept, and interlinks these synsets with conceptual-semantic and lexical relations. The dataset is made available by Princeton University for research and commercial use under a specific license requiring proper citation.
Vomega DS is a neuroscience dataset published on Kaggle. The dataset's specific content, size, and structure are not detailed in the available metadata. Its creator, organization, and last update date are unknown.
Physical sediment core samples collected from USAP research cruises NBP10-01 and NBP12-03. The collection includes kasten core archive tubes, jumbo piston core sections, and mega core archive cores. It was gathered by the Larsen Ice Shelf System Antarctica (LARISSA) program, organized by SCIOPS.