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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,118 datasets
A theoretical paper by Richard R. Sherry of Pennsylvania State University explores dynamic task allocation between humans and intelligent machines. It reviews previous theories of static task allocation and human performance during multitasking and interruptions. The work uses these results to provide suggestions for designing systems that perform dynamic task allocation, specifically within the context of a pilot's associate system.
A computational modeling study by Peter Ford Dominey of the University of Southern California presents neural network models for oculomotor control. The models explain spatiotemporal transformations for reflexive saccades, voluntary control via cortical and basal ganglia functions, and learning mechanisms for saccade sequences. The work includes an analysis linking model parameters to saccade dysfunction in Huntington's disease patients.
Deliang Wang's dissertation from the University of Southern California presents formal and biological neural network models for learning. The first part develops a model for learning, recognizing, and reproducing complex temporal sequences using an attentional learning rule. The second part presents a computational model of visual pattern discrimination and synaptic plasticity in toads, validated by simulations against experimental data.
A computational model of the cortical mechanisms involved in primate grasping, based on behavioral, cell recording, and anatomical data from human and monkey subjects. The model focuses on roles of intra-parietal areas, inferior premotor cortex, and other brain regions, and is validated using a PET study comparing precision and power grasps. The work was authored by Andrew H. Fagg at the University of Southern California.
Clinical and preclinical studies by Maria Dorota Majewska of the National Institute on Drug Abuse provide evidence for persistent neurological impairments from chronic cocaine abuse. The description details impairments including cerebral ischemia, hemorrhages, atrophy, and cognitive deficits, linking them to high relapse rates. The work references foundational theories and studies from the early 1990s and 1985.
A bibliometric analysis and systematic scoping review of 175 articles on neuroimaging research in inflammatory bowel disease (IBD), published between January 2000 and January 2026. The dataset, created by Yingchun Zhang and available on figshare, maps publication trends, collaboration networks, and research hotspots in the field.
Eight-year longitudinal trajectories of depressive symptoms for 7,014 participants from the US Health and Retirement Study and UK English Longitudinal Study of Ageing, linked to 10-year hip fracture incidence. The dataset, authored by Hongzhou Zhao and shared under CC-BY-4.0, was last updated in May 2026. It contains hazard ratios for fracture risk associated with different symptom trajectory groups.
Cross-sectional questionnaire data from 768 athletes, collected to study the relationship between training control intensity and training engagement. The dataset was created by Mengyuan Kong and last updated on June 2, 2026. It is a small dataset, 101.0 KB in size, shared under a CC-BY-4.0 license.
A systematic review and network meta-analysis comparing the effects of aerobic, resistance, and multicomponent exercise on cognitive function in sedentary adults. The analysis includes 17 randomized controlled trials involving 2,187 participants, with results indicating domain-specific cognitive improvements. The document was authored by Yanyan Shao and uploaded to figshare in May 2026.
126 participant responses collected for a study examining interaction design in VR-based digital heritage systems. The dataset includes metrics on perceived authenticity, cognition-based trust, and cognitive load, with demographic control variables. It was authored by Yuxuan Li and published via Harvard Dataverse.
Giuliana Grimaldi provides a dataset of EEG, EMG, accelerometer, and gyroscope data for a patient with neurological tremor. The data is intended for a Functional Electrical Stimulation (FES)-mediated brain-computer interface. It includes 15 EEG channels, 15-channel EMG data from multiple muscles, and 3-axis accelerometer and gyroscope data, all sampled at 1000Hz.
Ten participants in their mid-twenties to thirties performed building facade inspections while wearing Tobii Pro Glasses 3. The dataset captures eye-tracking data from two structures to understand inspector reasoning for damage assessment. Muhammad Rakeh Saleem from Pennsylvania State University collected the data for a preliminary study, with post-processing done using Tobii Pro Lab software.
A computational model of the attentional blink phenomenon based on the LIDA cognitive architecture. The model provides a biologically plausible explanation for the impairment in perceiving a second visual target presented 200-500ms after the first. It was developed by Tamas Madl at the University of Vienna and compares computational results to human data.
Electroencephalography and facial electromyography signals were collected for a previous study on goal conduciveness and power appraisals. The data was reused and reprocessed for a subsequent publication in PLOS ONE. It originates from research by Kornelia Gentsch at the University of Geneva.
Australian Ocean Data Network hosts data from a multibeam sonar survey conducted over two areas in the northern Great Barrier Reef - Gulf of Papua region. The dataset was created to investigate whether geophysical habitat data can predict benthic biodiversity occurrence, particularly in the context of Marine Protected Areas. The data is associated with a publication in Geological Association of Canada Special Publication 47.
Underlying datasets for the O'Callaghan et al., 2026 manuscript on glucose concentration and PINK1-dependent mitophagy. The 163.8 GB collection includes raw confocal microscopy images, RT-qPCR data, tabular data for all graphed results, and uncropped blots. It was authored by Benjamin O'Callaghan and published on figshare in June 2026.
A dataset from the University of Oslo investigates electroencephalographic (EEG) signal diversity in altered states of consciousness. It contains high-density 62-channel EEG recordings from 10 healthy volunteers before and during sub-anaesthetic ketamine administration. The data includes measures of spontaneous signal diversity and TMS-evoked responses, correlated with subjective experience assessments.
15 Excel files support a study on water scarcity constraints for developing a world-class megalopolis in North China. The data includes GDP and water use comparisons between the Beijing-Tianjin-Hebei region and existing global megalopolises for 2017. Zhuoying Zhang authored the related manuscript, and the data is publicly available under an Open Access license.
A descriptive, cross-sectional study of 17 neonates diagnosed with hearing loss in a universal newborn hearing screening program from August 2003 to December 2006. The research, authored by Tânia Pereira, determined probable etiologies through detailed anamnesis, serological tests, tomography, and genetic tests. Prenatal causes accounted for 64.7% of cases, with 36.4% having a confirmed genetic origin.
John W. McDonald of Johns Hopkins University authored a review paper on excitatory amino acid neurotransmitters in central nervous system development. The paper discusses their roles in synaptic plasticity, learning, memory, and the continuum from underactivation disrupting development to overactivation causing neuronal injury. The dataset appears to be the text of this academic paper, sourced from the paperswithcode platform.