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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,765 datasets
Gary G. Kay's paper explores options for improving the selection and training of Uninhabited Combat Aerial Vehicle (UCAV) operators. The work reviews tests for an improved screening system, with emphasis on decision-making ability, personality factors, and cognitive attributes. It provides recommendations for future research to identify a valid UCAV test battery.
Embers of War: The Fall of an Empire and the Making of America's Vietnam is a text-based dataset from paperswithcode, authored by Douglas J. Macdonald. The description suggests it contains analysis and case studies of U.S. foreign policy interventions in China, the Philippines, and Vietnam during the specified periods. The dataset is closed license, and its specific size, format, and update date are unknown.
A symposium dedicated to systematic comparisons of existing models and theories of working memory. The event aimed to promote understanding of the architecture and mechanisms underlying working memory and their practical implications. The dataset likely contains abstracts, papers, or discussion materials from the symposium authored by Akira Miyake.
A novel architecture called embodied theory of mind was developed to link high-level cognitive skills to the low-level perceptual abilities of a humanoid robot. The implemented system determines visual saliency based on inherent object attributes, high-level task constraints, and the attentional states of others. The work is authored by Brian Scassellati and copies are available exclusively from MIT Libraries.
An early release of some data used to train recent Neuron models and in-development models. The dataset is a mix of public datasets and original data, including content from Reddit and custom examples. It was uploaded by Sethblocks on Hugging Face in April 2026.
RIR-Mega-Speech is a synthetic corpus of 100,000 to 1,000,000 reverberant English speech utterances created by mandipgoswami and released in 2026. The dataset was generated by convolving LibriSpeech audio with simulated room impulse responses from the RIR-Mega collection and includes detailed acoustic metadata for each file.
Blue Brain Open Data encompasses experimental, model, and simulation data from neuroscience research. The dataset includes images and videos of reconstructed neurons and brain regions. It is hosted on AWS Open Data and published by the Open Brain Institute under a CC-BY-4.0 license.
A set of datasets focused on epilepsy research contributed by the research community and published with a standardized structure. The collection includes de-identified subject information, EEG recordings, and clinical imaging data. It is published by Pennsieve Labs on AWS Open Data under a CC-BY-4.0 license.
A processed functional connectome dataset derived from the Brain Genomics Superstruct Project, containing data from 1000 subjects aged 18-36. It provides T1-weighted anatomical images and preprocessed resting-state fMRI BOLD runs, processed to approximate the original 'Yeo1000' connectome. The dataset was created by Alexander L. Cohen at Harvard University to offer an updated version of a widely used but outdated neuroimaging resource.
A report documents results from a cognitive task analysis (CTA) conducted at seven railroad sites, including five locations testing advanced train control technologies. The analysis combined structured interviews with experienced engineers, conductors, and trainers, along with direct observations from head-end rides. Authored by Emilie M. Roth, it examines cognitive demands in train operation and implications for in-cab display design and training.
26995 data points are contained in this supplementary Excel file. It likely contains structural and functional data on neuronal lipid rafts related to HIV infection and associated neurological disorders. The dataset is associated with research on extracellular vesicles and neurodegeneration.
Dual-Paradigm SSVEP and Motor Imagery EEG Dataset is a neuroscience dataset hosted on Kaggle. It likely contains electroencephalography (EEG) recordings from subjects performing both Steady-State Visually Evoked Potential (SSVEP) and Motor Imagery tasks. The specific scale, collection methodology, and authorship details are not provided in the available metadata.
Kaggle hosts a dataset titled 'proj-megamind'. The dataset's specific content and scope are not detailed in the provided metadata. Its origin, size, and collection methodology are currently unknown.
A collection of research papers on conservation psychology, a field intersecting environmental science and human behavior. The dataset is published on the paperswithcode platform and authored by John F. Fraser. The specific scope, size, and temporal coverage of the collection are not detailed in the available metadata.
EEG-V27-EN-PAR is a dataset of electroencephalography (EEG) signals, published on Kaggle. The dataset's specific content, scale, and collection details are not provided in the available metadata. Further verification after download is required to confirm the number of recordings, subjects, and experimental parameters.
EEG-V27-English is a dataset of electroencephalogram (EEG) signals, likely containing time-series recordings of brain activity. The dataset is hosted on Kaggle, but its specific origin, collection method, and scale are not detailed in the provided metadata. Further details such as the number of subjects, recording parameters, and annotation schema require verification after accessing the data files.
1,789,998 unique medical samples containing 3.78 billion tokens of chain-of-thought reasoning, released by OpenMed in February 2026. The dataset aggregates outputs from seven state-of-the-art AI models using fair distribution deduplication to ensure sample variety. It specifically focuses on clinical logic, with 1.56 billion tokens dedicated exclusively to reasoning steps.
A dataset titled '0_mega_sampl' is hosted on Kaggle. The platform tags suggest it is intended for machine learning benchmarking and contains sample data in a tabular format. The dataset's author, organization, size, and specific content are unknown.
1,789,998 unique medical samples containing 3.78 billion tokens of chain-of-thought reasoning, released by OpenMed in February 2026. The dataset aggregates outputs from seven state-of-the-art AI models using fair distribution deduplication to ensure sample variety. It specifically focuses on clinical logic, with 1.56 billion tokens dedicated exclusively to reasoning steps.
Omega EEG v18 is a dataset of electroencephalogram recordings, likely containing brain signal data. It is hosted on Kaggle, but the author, organization, and collection details are unspecified. The dataset's size, time range, and specific recording parameters are unknown.