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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,288 datasets
Getting a grip on numbers: Numerical magnitude priming in object grasping is an experimental psychology dataset by Oliver Lindemann. It contains data from a study investigating the connection between numerical cognition and action planning, where participants performed grasping actions in response to Arabic digits. The results were published in the Journal of Experimental Psychology: Human Perception and Performance.
50,697 labeled electroencephalography (EEG) samples from 2,711 patients and 6,095 EEGs, annotated by physician experts from 18 institutions. The dataset was used to train SPaRCNet, a deep neural network for classifying seizures and rhythmic/periodic patterns in ICU EEG data. It is hosted on the Brain Data Science Platform under a restricted health data license.
AllenAI's Dolma3 Dolmino Mix 100B 1125 is a curated data pool assembled for the second-stage training of the OLMo 3 32B language model. The dataset sources include synthetic math problems, code, and question-answering data from repositories like TinyMATH, CraneMath, StackEdu, and Nemotron. It was last updated on Hugging Face in February 2026.
Omega EEG v5 is a collection of electroencephalography (EEG) data. The dataset is hosted on Kaggle. Specifics regarding its size, collection period, and originating institution are not provided in the available metadata.
MegaUnScene is a benchmark dataset of Internet scenes unseen by existing 3D foundation models. It was created by researchers from Cornell University, New York University, and Harvard University's Kempner Institute. The dataset includes three test splits for two evaluation tasks, including relative pose estimation.
Omega EEG v4 is a dataset hosted on Kaggle. The title suggests it contains electroencephalography (EEG) recordings, which measure electrical brain activity. The dataset's specific scope, size, and collection details are not provided in the available metadata.
A study by Wai‐Tat Fu at the University of Illinois Urbana-Champaign compares web search performance between younger and older adults. The research involved participants using a health information website to complete both ill-defined and well-defined information tasks. Path models were used to analyze how cognitive abilities, health literacy, and knowledge influenced the search strategies adopted by the two age groups.
A text-based summary and analysis of temporal desynchrony between boredom and high-stress moments in military and security operations. The work was authored by Peter A. Hancock and sourced from the paperswithcode platform. It synthesizes research on psychological and physiological transitions, performance degradation, and stress-related health problems.
Electroencephalogram (EEG) brain signal recordings, likely from the 'Omega-EEG-v2' project. The dataset is published on the Kaggle platform. The author, organization, size, and specific recording details are unknown.
Kaggle hosts the Omega EEG v3 dataset. The dataset likely contains electroencephalography (EEG) recordings, which measure electrical brain activity. Its specific scope, size, and collection details are not provided in the available metadata.
The MeGen Spotter Training Dataset is hosted on Kaggle. Its title suggests it is likely used for training object detection or spotting models. The dataset's specific content, scale, and origin require verification after download.
A dataset titled 'megam_csv' published on Kaggle. The title suggests a focus on machine learning, likely containing tabular data for classification or regression tasks. No further metadata on size, columns, or origin is available.
Hourly, daily, and monthly mean values of three geomagnetic components and total force were recorded at the MIZUSAWA, ESASHI, and KANOZAN observatories. The dataset contains continuous geomagnetic observations for the year 1997. The data was reported by the organization SCIOPS.
A dataset of electroencephalography (EEG) recordings related to motor imagery tasks, published on Kaggle. The dataset likely contains time-series brain signal data collected from participants imagining specific movements. Details on the number of subjects, recording duration, and specific experimental protocols are not provided in the minimal metadata.
MEGA Inference is a dataset published on Kaggle. Its title suggests a focus on inference tasks, likely within the neuroscience domain. The dataset's specific content, size, and creation details are not provided in the available metadata.
Matteo Fecchio's code repository provides tools for analyzing stimulus-based and task-based electroencephalography (EEG) data. The repository is maintained by Matteo Fecchio Dataverse and was last updated in April 2026. The specific scope of data processed by this code is not detailed.
14 patients with paranoid schizophrenia and 14 matched healthy controls comprise this electroencephalography dataset. Data were acquired at 250 Hz using the standard 10-20 montage with 19 EEG channels and a specific reference electrode placement. The dataset was contributed by Elżbieta Olejarczyk of the Polish Academy of Sciences.
QuantPsyc is a collection of tools for quantitative psychology, authored by Thomas D. Fletcher. The description indicates it contains tools useful for data screening, testing moderation, mediation, and estimating statistical power. The dataset's specific size, format, and update frequency are unknown.
Raw multichannel brainwave data capturing cortical responses to push and laterality stimuli. The dataset is hosted on Kaggle, but details regarding its size, author, and collection period are unspecified. Its primary content is raw EEG signal data.
An ethnographic dataset on cognitive systems, authored by Charles O. Frake of Stanford University and published on paperswithcode. The dataset likely contains qualitative observations and analyses related to human cognition in cultural contexts. Specific details on size, format, and update date are not provided in the metadata.