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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,288 datasets
Experiment-specific code files support the analysis of neural activity and oscillatory power changes. The dataset is authored by Adrian Gilmore and was last updated on April 25, 2026. It contains the processing scripts used for a study on repetition-related neural reductions and behavioral improvement.
Sheetal Thomas Dataverse provides data used to study the influence and predictability of personality traits on financial behavior through handwriting analysis. The dataset was authored by Thomas, Sheetal and last updated on May 4, 2026. Its specific size, format, and structure are not detailed.
Main cell type densities (T-types) are summarized across major brain regions. The dataset is derived from a multimodal spatial atlas integrating transcriptomic and morphological data. It was authored by Csaba Verasztó and last updated in March 2026.
A 17.5 KB Excel file comparing baseline characteristics between cognitive frailty and non-cognitive frailty groups in training and validation cohorts. The dataset was authored by Shunli Zuo and last updated on March 25, 2026. It is associated with a study involving 325 stroke survivors and the evaluation of eight machine learning models.
A Data Management and Sharing Plan authored by Gang Li outlines the strategy for handling scientific data generated for the project 'Developing an Individualized Deep Connectome Framework for ADRD Analysis'. The plan describes the data to be used and shared, but specific details on volume, format, and structure are not provided. It was last updated on May 4, 2026.
60 participants from diverse backgrounds form the basis of this 2024 study on sleep deprivation. The dataset, created by Farouk Mohammed and Juma al Majid, captures sleep duration, quality, cognitive function, emotional stability, and lifestyle factors. Standardized cognitive tests like the Stroop Task, N-Back Test, and Psychomotor Vigilance Task were used to measure performance.
A 2024 study of 60 participants from diverse backgrounds in the Middle East, authored by Farouk Mohammed and Juma al Majid. It captures the impact of sleep deprivation on cognitive performance and emotional regulation, using standardized tests like the Stroop Task and Psychomotor Vigilance Task. The dataset includes demographic, lifestyle, and cognitive metrics to support statistical and machine learning analysis.
Cognitive Science 25K is a dataset hosted on HuggingFace by the user '11-47'. The dataset was last updated on 2026-05-10. Its title suggests it contains 25,000 data points related to cognitive science, but the specific content and structure require verification.
EEG Motor likely contains electroencephalography recordings related to motor imagery tasks. The dataset is published on Kaggle, though its specific size, origin, and collection date are unknown. Columns suggest it includes time-series brainwave data, potentially for classifying imagined movements.
Breast Lesion Detection Gaze Dataset is a subset of a large-scale medical dataset presented at MICCAI 2025. It combines high-resolution mammography images with expert radiologist eye-tracking data and gold-standard lesion annotations. The dataset was created by yankon0408 and was last updated on March 26, 2026.
Electroencephalogram (EEG) recordings likely intended for drowsiness or fatigue detection research. The dataset involves 30 human subjects, as indicated by the title. It is hosted on the Kaggle platform, but detailed metadata such as recording specifics, author, and collection date are not provided.
A survey dataset captures developer attitudes toward AI, focusing on cognitive offloading, reliance on AI tools, and perceived mental workload. The data was collected via a survey, though the specific author, organization, and sample size are not detailed. Platform tags indicate it is a global survey, suggesting international coverage.
436 T1-weighted brain MRI scans from cognitively normal adults aged 18 to 96, preprocessed from the OASIS-1 dataset. Volumes are stored as float32 NumPy arrays with a consistent shape of 96 × 128 × 96, ready for machine learning and 3-D visualization. The dataset was uploaded by pzarzycki and last updated on March 25, 2026.
A collection of electroencephalography (EEG) datasets related to cognitive load, published on Kaggle. The specific number of datasets, their temporal coverage, and the original collection methodology are not detailed in the available metadata. The data likely contains time-series recordings of brain activity under varying mental workload conditions.
Mega Starmie Deck likely contains data related to a specific deck composition for the Pokemon Trading Card Game. The dataset was published on Kaggle, but its author, size, and last update date are unknown. Columns suggest it may list cards, quantities, or strategies associated with a deck built around the Mega Starmie Pokemon card.
200,000 text samples aggregated from nine public datasets, including HuggingFaceTB/cosmopedia-v2 (32.15%) and teknium/OpenHermes-2.5 (29.62%). The dataset was created by ethicalabs and last updated on March 16, 2026. It appears to be a curated collection for supervised fine-tuning of language models.
Cognitive load data published on Kaggle. The dataset's specific content, size, and collection details are not described in the available metadata. Its origin and temporal scope are currently unknown.
Nationwide results from a Freestanding Photovoltaic (FF-PV) area potential analysis identify land suitable for solar development. The Bundesamt für Kartographie und Geodäsie produced these results, which include search space scenarios and low-conflict area potentials. Exclusion and restriction areas based on natural space, law, and spatial planning are set against backdrops privileged under building planning law.
Germany's nationwide area potential analysis for ground-mounted photovoltaic (FF-PV) systems. The dataset provides results from a multi-step analysis, including search space scenarios, low-conflict area potentials, and exclusion areas based on environmental, legal, and spatial planning criteria. It was produced by the Bundesamt für Kartographie und Geodäsie and last updated on March 2, 2026.
A nationwide geospatial analysis of potential areas for ground-mounted photovoltaic (FF-PV) solar farms. The dataset provides results including search space scenarios, low-conflict area potentials, and exclusion zones based on natural space, legal, and spatial planning criteria. It was published by the Bundesamt für Kartographie und Geodäsie and is scheduled for an update in March 2026.