Loading...
Loading...
Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,288 datasets
A dataset of electroencephalography (EEG) signals, likely containing brain activity recordings. It was published on Kaggle, but the author, organization, and specific collection details are unknown. The dataset's size, time range, and recording parameters are not specified in the available metadata.
Judith S. Beck of the Beck Institute for Cognitive Behavior Therapy authored this clinical guide. It addresses 13 core challenges in cognitive therapy, from identifying problems to modifying core beliefs, and includes two appendices with resources and a questionnaire. The dataset's row count and file formats are unknown.
EEG recordings likely related to epilepsy detection or analysis. The dataset is published on Kaggle, but its creator, size, and specific collection details are unknown. Its title suggests it may be a cleaned version of a larger EEG signal collection.
Kaggle hosts a dataset titled 'pmim202-cognitive-decline'. The dataset likely contains information related to cognitive decline, a topic in neuroscience and medical research. Its specific contents, size, and authorship are not detailed in the available metadata.
EEG data likely contains recordings of brain electrical activity. The dataset is hosted on Kaggle, but specifics on its size, collection method, and origin are not provided in the metadata. Users must download the dataset to verify its content, scale, and potential applications.
eeg-epilepsy-v27-clean is a dataset hosted on Kaggle. The title suggests it contains electroencephalogram (EEG) recordings, likely related to epilepsy detection or research. The dataset's specific scope, size, and origin are not detailed in the available metadata.
EEG-epilepsy-v27-final is a dataset of electroencephalogram (EEG) recordings related to epilepsy, hosted on Kaggle. The dataset's specific content, scale, and collection details are not provided in the available metadata. Its origin, time range, and exact structure require verification after download.
Mumtaz EEG Data likely contains electroencephalogram recordings, a common method for measuring brain activity. The dataset is hosted on Kaggle, but its specific size, collection method, and temporal scope are unspecified. Its author and organization are also unknown.
EEG Raw Numpy FGV likely contains electroencephalography recordings stored in NumPy arrays. The dataset is hosted on Kaggle, but its specific size, collection method, and temporal coverage are unspecified. Metadata is minimal; actual content requires verification after download.
EEGEEye likely contains paired electroencephalography and eye-tracking recordings. The dataset is hosted on Kaggle, but its size, collection method, and temporal coverage are unspecified. Its author, organization, and last update date are unknown.
Camila de Assis Faria from Universidade do Estado do Rio de Janeiro analyzed data from the FIBRA-RJ Study, Phase 1, covering 737 clients of a private health care provider aged 65 and over in Rio de Janeiro, Brazil, between January 2009 and January 2010. The dataset includes socioeconomic, demographic, medical, and functional capacity data, with cognitive performance assessed via the Mini-Mental State Examination (MMSE) and frailty defined by five physical criteria. The study used multivariate logistic regression to investigate the association between frailty and cognitive performance, finding a significant link, especially for individuals aged 75 and older.
specr provides utilities for conducting and visualizing specification curve analyses (Simonsohn, Simmons & Nelson, 2020) and multiverse analyses (Steegen, Tuerlinckx, Gelman & Vanpaemel, 2016). The package includes functions to setup, run, evaluate, and plot all specifications. It was authored by Philipp K. Masur of the Science Communication Institute.
Electrophysiological data contains spiking activity for a population of V4 neurons alongside simultaneously collected behavioral data. The dataset is stored in MAT format, has a size of 1.5 MB, and was authored by Lily Kramer under an MIT license.
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.
A research effort developed and tested cognitive-oriented metrics for evaluating collaboration effectiveness in culturally diverse military teams. The work involved a three-year project, resulting in eight classes of metrics derived from five collaboration models. The paper includes results from two metrics evaluations demonstrating their practicality in military experiments.
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.
UCLouvain Saint-Louis Brussels researcher Brent A. Mattingly authored this 2010 academic journal article from the New School Psychology Bulletin. The text discusses theoretical frameworks for romantic conflict, partner interference, and the role of commitment in motivating pro-relationship behaviors like sacrifice. The dataset appears to be a single research paper, with its size and specific data format unknown.
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.