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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,099 datasets
A dataset of neural recordings from primary visual cortex used to demonstrate the false discovery rate regression method. The method detected roughly 50% more synchronous neuron pairs than a standard false discovery rate-controlling analysis. The data and methods are associated with an article and R package by James G. Scott of The University of Texas at Austin.
79 video and image stations were collected during the SOL5117 survey in the Joseph Bonaparte Gulf between July and September 2010. The survey, a collaboration between Geoscience Australia, the Australian Institute of Marine Science, and the Museum and Art Gallery of the Northern Territory, aimed to map geohazards and sensitive seabed environments. Underwater footage and 12-megapixel still photographs were captured from towed-video systems across banks, channels, and plains.
Kornelia Bartoszewicz authored a systematic review synthesizing evidence on functional brain alterations in Premenstrual Dysphoric Disorder (PMDD). The review analyzed data from 598 participants, including 294 PMDD patients and 304 healthy controls, sourced from functional magnetic resonance imaging (fMRI) studies. The document was last updated on 2026-06-04.
598 participants, including 294 PMDD patients and 304 healthy controls, are analyzed in this systematic review. The document synthesizes evidence on functional brain alterations in PMDD, identifying changes in networks like the salience and default mode networks. Authored by Kornelia Bartoszewicz and published under a CC-BY-4.0 license, this review aims to inform novel therapeutic strategies.
A 2026 computational study by Mehdi Borjkhani analyzes over 2.9 million inter-spike intervals from a Hodgkin-Huxley-type model. The model incorporates NMDA, AMPA, and GABA receptor kinetics to investigate how NMDA receptor closing rates and glutamatergic stimulation control neuronal dynamics. The analysis characterizes deterministic chaos and links kinetic regimes to downstream plasticity signaling via CaMKII phosphorylation.
Chris Shreenan-Dyck published this reproducible data package on figshare in June 2026. It contains machine-readable datasets and notebooks supporting the analysis of a mass gap in compact astrophysical remnants. The package includes electromagnetic mass anchors for neutron stars, gravitational-wave event data, selection surfaces, prior configurations, and posterior samples.
A systematic review and meta-analysis document summarizing evidence on the biomarker Galectin-3 in cognitive impairment. The document includes results from nine studies comprising 877 patients with cognitive impairment and 715 healthy controls, authored by Ying-ying Yang and last updated in May 2026. It reports combined effect sizes, subgroup analyses for vascular risk factors and disease types, and assesses study heterogeneity and publication bias.
A dataset from a study aiming to precisely map five ACT-R cognitive architecture modules onto brain regions. The data was generated by Jelmer P. Borst of Carnegie Mellon University using model-based fMRI analysis on two separate datasets, which were combined to create an overall mapping. The study seeks to refine a previous, coarser mapping of these modules.
A study by Matias D. Cattaneo of the University of Michigan investigates the causal impact of a large-scale Mexican Government program to replace dirt floors with cement floors. The research measures effects on child health indicators like parasitic infestations, diarrhea, and anemia, as well as adult welfare metrics including satisfaction, depression, and stress. The dataset likely contains tabular data from this causal impact evaluation.
A field study by Birsen Donmez of the University of Toronto examined turn signal use during highway lane changes. The data likely contains observations across three driver age groups (20-29, 40-49, and 60-69) under varying levels of secondary cognitive demand. Secondary cognitive demand was found to decrease the likelihood of turn signal use and delay signal onset and turnoff.
Joseph Bonaparte Gulf survey SOL5117 collected underwater video footage and 12-megapixel still images from 79 stations across two legs in 2010. The survey was conducted by Geoscience Australia in collaboration with the Australian Institute of Marine Science and the Museum and Art Gallery of the Territory aboard the R.V. Solander. It aimed to map geohazards and sensitive seabed environments, collecting data from banks, channels, and plains along a north-south transect.
Australian underwater video data captures marine mammal interactions, particularly with Australian fur seals, within midwater trawl nets. The dataset links digital video observations described by operational, catch, and interaction fields to commercial catch and effort data. It was published by the Australian Ocean Data Network and last updated on 2026-07-13.
Functional MRI scans from a comparative neuroimaging study involving 15 dogs and 40 humans. The dataset includes raw functional neuroimaging data, structural scans, brain masks, and task condition files for dogs, collected by researchers from the University of Vienna. Human neuroimaging data is available separately upon request.
Jonathan Wirsich and the University of Geneva provide a connectome dataset for the 2021 NeuroImage publication 'The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5T to 7T'. The dataset contains static connectivity matrices derived from simultaneous EEG and fMRI recordings, with data structured by subject, session, atlas, and EEG frequency band. It includes connectivity measures for fMRI and multiple EEG metrics across five frequency bands.
Electroencephalography (EEG) and facial electromyography (EMG) signals were collected in a study by van Peer, Grandjean and Scherer (2014). The data were used to investigate the sequential unfolding of novelty and intrinsic pleasantness appraisals using an oddball paradigm with affective pictures. The dataset was made public by Coutinho, Gentsch, van Peer, Scherer and Schuller for their subsequent analysis.
A 2026 meta-analysis by Yanan Wang integrates data from 7 observational studies involving over 7 million participants. The dataset likely contains pooled effect estimates, odds ratios, and subgroup analysis results quantifying the association between systemic lupus erythematosus and cognitive impairment or dementia. The work was published on figshare under a CC-BY-4.0 license.
Suzanne Reed's PRO-E2 study is a prospective controlled cohort study assessing the risk of venous and arterial thromboembolism in users of a monophasic oral contraceptive containing nomegestrol acetate and 17β-oestradiol (NOMAC-E2) compared to levonorgestrel-containing combined oral contraceptive (COCLNG) users. The study enrolled 101,498 women across 12 countries in Australia, Europe, and Latin America, with up to 2 years of follow-up and 144,901 woman-years of observation. It calculated incidence rates and hazard ratios for thromboembolic events, with outcomes validated via treating physicians and independent blinded adjudication.
Jiahuan Wang authored a research document describing a domain-aware domain–class adaptation network (DDCA Net) for cross-task transfer learning from motor execution to motor imagery EEG classification. The document reports results from experiments on a public dataset with over 100 subjects, showing a 7.71% accuracy improvement over a baseline. It was last updated on June 1, 2026.
30 typically developing fetuses between 22 and 36 weeks gestational age were scanned to evaluate the within-session reliability of automated cortical morphometry pipelines. The study, authored by Seungyoon Jeong and last updated in June 2026, assessed metrics like cortical plate volume and surface area using two reconstruction methods, NeSVoR and SVRTK. Results showed high reliability for both methods, with mean absolute percent differences under 5%.
4.3% of a curated list of human-specific genes and genetic variants are linked to dendritic spines, a key structural component of brain function. The analysis, authored by Nicolás Matías Rosas and last updated in June 2026, identifies functional convergence on pathways like cytoskeleton, Ca2+ signaling, and WNT signaling. This work aims to address translational gaps in neuropsychiatric disorder treatments and environmental neuroscience.