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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,764 datasets
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.
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.
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.
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.
Bundesamt für Kartographie und Geodäsie provides results from a nationwide analysis of area potential for free-field photovoltaic (FF-PV) installations. The data includes determined search space scenarios, low-conflict area potentials, and exclusion and restriction areas based on natural space, legal, and spatial planning criteria. The dataset was 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.
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.
1.79 million unique samples of medical chain-of-thought reasoning, containing approximately 3.78 billion tokens. The dataset was created by CrossNow and last updated on March 5, 2026. It combines outputs from seven state-of-the-art AI models and has undergone fair distribution deduplication.
A framework for distilling software repositories into compressed cognitive functions and instantiating them as timestamped, integrity-verified stigmergic traces. The dataset includes executable scripts and JSON files containing core logic from compressed repositories. It was created by ronniross and last updated in March 2026.
Scores on cognitive performance tests by cardiovascular risk and sex, authored by Ester Tapias-Merino. The dataset is available in XLS format and was last updated on March 25, 2026. It is licensed under CC-BY-4.0 and hosted on figshare.
A 5.5 KB biomedical dataset in XLS format explores relationships between standardized HDL-C values and cognitive function assessments. The dataset, authored by Fei Wang and last updated in March 2026, is licensed under CC BY 4.0 for open use. It is tagged for regression analysis, biomedical research, and cognitive function studies.
Sensitivity analysis data exploring the association between the NHHR biomarker and cognitive function scores. The dataset, authored by Fei Wang, is a 9.5 KB Excel file last updated in March 2026. It contains tabular data tagged for clinical research on cholesterol ratios and cognitive function.
A 5.5 KB Excel file from a longitudinal study explores the correlation between initial HDL-C levels and the probability of cognitive deterioration across follow-up intervals. The dataset, authored by Fei Wang and updated in March 2026, is tagged for cardiovascular health and neurology research.
Global data intended for research into artificial intelligence, automation, and blockchain technologies. The dataset originates from Kaggle, but its author, organization, and specific collection details are unknown. Its size, row count, and temporal coverage are unspecified.
StreamGaze is a benchmark dataset for evaluating Multimodal Large Language Models on gaze-based question-answering tasks. The dataset likely contains fixation metadata from three sources: EGTEA, EgoExoLearn, and HoloAssist, and QA tasks across past, present, and future contexts. It was created by daeunni and last updated on Hugging Face in March 2026.
Moscow-1Km provides a pre-computed MegaLoc feature descriptor index for visual geolocation within a 1.0 km radius of central Moscow. The dataset contains 8,624 panorama images, resulting in 34,496 index entries, each with a 1024-dimensional descriptor. It was created by netryx-hub for use with the Netryx Drishti platform.
Main cell type densities (T-types) are summarized across major brain regions. The dataset, 11.4 KB in size, is provided in XLSX format and was authored by Csaba Verasztó. It was last updated on March 24, 2026.
Raw fMRI data from 40 subjects for a study on brain-behavior relationships during object identification. Each subject contributed one MPRAGE anatomical scan and two multi-echo, slow event-related fMRI overt picture naming runs, formatted in BIDS. The data supports trial-level analysis as published in Frontiers in Human Neuroscience (2024).