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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,288 datasets
A nationwide analysis of area potential for ground-mounted photovoltaic (FF-PV) systems in Germany. The results include determined search space scenarios, low-conflict area potentials, and exclusion/restriction areas based on natural space, legal, and spatial planning criteria. The data is provided by the Bundesamt für Kartographie und Geodäsie and was last updated on March 2, 2026.
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.
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.
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 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.
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).
DANDI is a public archive of neurophysiology datasets from over 20 species, supported by the US BRAIN Initiative. It includes raw and processed data such as electrophysiology, calcium imaging, and behavioral time-series, organized using community standards like NWB and BIDS. Development is supported by the National Institute of Mental Health.
A multibeam sonar survey from two areas in the northern Great Barrier Reef - Gulf of Papua region investigates relationships between sediment, geomorphology, and benthic biodiversity. The dataset supports analysis of whether geophysical habitat data can predict megabenthos occurrences, a key question for Marine Protected Area management. It is sourced from a study published in Geological Association of Canada Special Publication 47.
A 9.5 KB XLS file containing brain regions identified through a lesion network approach. The dataset was created by Suhrit Duttagupta and last updated in March 2026. It is derived from a study that assessed 231 patients to identify key predictors of fatigue.
A 9.5 KB XLS file contains Spearman correlation coefficients between Multidimensional Fatigue Inventory (MFI) domain scores and psychological, neurological, and neuroimaging variables. The data is based on an assessment of 231 patients from a relatively homogeneous population. It was authored by Suhrit Duttagupta and last updated in March 2026.
Depth contours for the South Florida, Cuba, and Bahamas region, digitized from a 1992 nautical chart. The dataset includes lines for 3, 10, 20, 50, 100, and 1000 fathom depths, plus the Bahamas shoreline. Data was created by the Florida Marine Research Institute and provided by NOAA's National Centers for Environmental Information.
Study data from Harvard Dataverse investigates the hidden costs of AI assistance. The dataset likely contains experimental results on how cognitive offloading affects decision-making. Author Dennis Joseph published this research on May 7, 2026.
Mouse hippocampal CA3 neurons imaged using E11.bio's PRISM technology, which combines viral barcoding and expansion microscopy. The dataset includes light microscopy data, cell morphology segmentations, and protein expression maps from iterative immunolabeling cycles. Data is provided in S3 format with supporting files for visualization.