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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,766 datasets
A dataset on Kaggle concerning eye tracking. The dataset's specific contents, size, and origin are not detailed in the provided metadata. Its scope and collection methodology require verification after download.
CHB-MIT Scalp EEG is a collection of electroencephalogram recordings from pediatric subjects with epilepsy. The dataset is hosted on Kaggle, though the specific version and update details are not provided. Columns and sample data are unknown, limiting immediate assessment of its structure.
Part 5 of the CHB-MIT Scalp EEG Database, a collection of electroencephalogram recordings. The dataset is hosted on Kaggle. The specific temporal coverage, author, and organization details are unknown.
A full collection of scalp electroencephalogram (EEG) recordings from the CHB-MIT database. The dataset likely contains multi-channel time-series signals recorded from pediatric patients. It is published on Kaggle, but the specific collection period, author, and exact size are not detailed in the provided metadata.
Part 6 of the CHB-MIT Scalp EEG dataset, a collection of electroencephalogram recordings. The dataset is hosted on Kaggle, though specific details about its size, collection dates, and contributors are not provided in the available metadata. Its content likely includes time-series signal data for neurological research.
CHB-MIT Scalp EEG — Part 2 is a collection of electroencephalogram recordings. It is hosted on Kaggle and appears to be a continuation of a dataset related to pediatric epilepsy. The dataset's specific scope, size, and origin are not detailed in the provided metadata.
Scalp EEG recordings from pediatric patients with epilepsy, constituting part 4 of the CHB-MIT collection. The dataset is hosted on Kaggle, but the specific number of recordings, subjects, and recording details are not provided in the available metadata. The original CHB-MIT database is a well-known resource in neurological research.
Megam Path is a neuroscience dataset published on Kaggle. Its specific content and scale are unknown from the provided metadata. The dataset's author, organization, and last update date are not specified.
The paper 'Heads We Win. The Cognitive Side of Counterinsurgency (COIN)' argues for enhanced cognitive capabilities in modern warfare. It analyzes the challenges posed by hybrid global-local insurgencies, such as the Islamist-Sunni-Salafist jihad, and critiques current U.S. responses. The work is sourced from the paperswithcode platform and is tagged with psychology and cognitive science topics.
Megaminx AZ recipe artifacts is a dataset hosted on Kaggle. The title suggests it contains data related to solving algorithms or move sequences for the Megaminx, a dodecahedron-shaped twisty puzzle similar to a Rubik's Cube. The dataset's specific content, size, and origin are not detailed in the available metadata.
Megaminx-rotations-720 is a dataset hosted on Kaggle. The title suggests it contains data related to rotations of a Megaminx puzzle, likely representing state transitions or sequences. The dataset's specific content, size, and origin are not detailed in the provided metadata.
Megaflow-model is a dataset published on Kaggle. The title suggests it contains artifacts related to a machine learning model, such as weights, configuration files, or training data. Specific details regarding its contents, size, and creation are unavailable from the provided metadata.
An EEG dataset related to Rapid Serial Visual Presentation (RSVP) tasks, published on Kaggle. The dataset likely contains time-series brain signal recordings from participants exposed to rapid visual stimuli. Specific details on collection methodology, size, and authorship are not provided in the available metadata.
eeg-epilepsy-v11 is a dataset hosted on Kaggle. Its title suggests it contains electroencephalogram (EEG) data related to epilepsy. The dataset's specific size, origin, and collection date are unknown.
A biosemiotic conceptual framework designed to help identify and prune epistemic cognitive-dissonant patterns. The framework was authored by 'ronniross' and was last updated on March 26, 2026. Its specific data format, size, and internal structure are not detailed in the provided metadata.
A collection of results from a within-subjects repeated measures experiment with 34 participants. It investigates the influence of negative itch expectancy manipulation on costly avoidance behavior, measured via grip strength on a dynamometer.
Kaggle dataset titled 'eeg-meditation-dnn'. The dataset likely contains electroencephalogram (EEG) recordings related to meditation states. Its specific size, collection details, and authorship are unknown from the provided metadata.
eeg-epilepsy-v9 is a dataset hosted on Kaggle. The title suggests it contains electroencephalogram (EEG) recordings related to epilepsy. The dataset's specific size, origin, and detailed structure are not provided in the available metadata.
eeg-epilepsy-v10 is a dataset of electroencephalogram signals related to epilepsy, published on Kaggle. The dataset likely contains time-series recordings of brain activity. Metadata is minimal; the exact number of records, recording parameters, and patient details are unknown.
A field experiment at a national payday lender chain tested the effect of psychology-guided information on borrowing. The study found that information helping borrowers think less narrowly about loan costs reduced loan take-up by about 11% over a 4-month window. The dataset was created by Marianne Bertrand of the University of Chicago.