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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,766 datasets
A dataset titled 'nasa_dataset_mega' is hosted on Kaggle. The platform tags suggest it likely contains data related to aerospace, satellites, and space science. The specific content, size, and origin require verification after download.
Janelia's MouseLight project provides images and neuron annotations of the *Mus musculus* brain. The data is stored in formats suitable for viewing and annotation using the HortaCloud cloud-based system. The dataset is licensed under CC-BY-4.0.
A benchmark dataset for Retrieval-Augmented Generation tasks in the Brain-Computer Interface and Electroencephalography domain. It includes safety tasks and a NeuroChat-style chatbot demonstration. The dataset's origin, size, and temporal coverage are unspecified.
EEG-Epochss likely contains segmented time-series data from electroencephalography recordings. The dataset is published on Kaggle, but its specific collection method, size, and temporal coverage are unknown. Author and organizational provenance details are also unavailable.
A dataset from a study investigating the influence of mental imagery on the subjective visual vertical. The data likely contains experimental results from an interference paradigm, published in NeuroReport and authored by WGBH Boston. The temporal coverage and dataset size are unspecified.
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.
Stuart Vyse's book 'Believing in Magic: The Psychology of Superstition' is a psychological text exploring the nature and origins of superstitious belief. The work covers topics including the superstitious personality, developmental origins, and the rationality of magical thinking. The dataset, sourced from paperswithcode, likely contains the text or structured information from this publication.
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.
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.
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.
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.