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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,727 datasets
Tamal Sadhukhan's dataset contains proteomic profiles from nasal exfoliates of 108 adults aged 55–85 years from the Washington, DC region. It identifies 137 proteins correlated with logical memory test performance, with six top proteins previously linked to Alzheimer's disease. The data was last updated on 2026-05-21.
Jincheng Li's dataset contains results from a randomized controlled trial on stroke rehabilitation. The study involved 52 inpatients with post-stroke balance problems, comparing standard rehabilitation with an added Tai Chi Cloud Hands program over two weeks. Outcome measures include Berg Balance Scale scores, Modified Barthel Index scores, static balance metrics from a PROKIN system, and resting-state brain connectivity data from functional near-infrared spectroscopy.
A research article by Petra Wahle, last updated May 14, 2026, details experimental findings on cortical circuit development. The study explores how mAChR-mediated activation of subplate neurons in early postnatal neocortex triggers network activity that influences the maturation of basket cells. Results are based on ex vivo stimulation and organotypic cortex culture experiments measuring protein expression and calcium event frequency.
A theoretical reconstruction of the proteolytic degradome for the neuronal SNARE protein SNAP-25. The dataset enumerates all predicted peptide fragments from the human SNAP-25 primary sequence, including both major splice isoforms A and B. It was created by Axel Petzold and last updated on 2026-04-28.
Chayapol Chaiyanan proposes a feature selection and sensor optimization framework for detecting implicit learning using simultaneous EEG and fNIRS data. The framework uses a binary multi-neighbor artificial bee colony algorithm to identify discriminative features and reduce sensor count. The work demonstrates a significant improvement in classification accuracy and maintains performance with up to 66% fewer sensors.
A multibeam sonar survey from the northern Great Barrier Reef - Gulf of Papua region, collected to investigate relationships between sediment, geomorphology, and benthic biodiversity. The dataset is hosted by the Australian Ocean Data Network and was last updated on 2026-06 04. It is described in Geological Association of Canada Special Publication 47.
A dataset of 40,579 individuals from the UK Biobank and Hamburg City Health Study linking vascular risk factors, MRI-derived brain aging markers, and cognitive-motor performance. The data was used in a multivariate imaging analysis employing partial least squares correlation and mediation analyses. The dataset was published by Marvin Petersen under a CC-BY-4.0 license and last updated on May 1, 2026.
Experimental data from a mouse model links hippocampal neuronal hypoexcitability to PTSD-like symptoms in multiple sclerosis. The dataset, created by Xinghua Zhong and last updated in May 2026, includes results from morphometric analysis, whole-cell recordings, chemogenetic manipulation, and single-nucleus RNA sequencing. It is shared under a CC-BY-4.0 license on figshare.
Experimental data from the EAE mouse model links hippocampal neuronal hypoexcitability to PTSD-like phenotypes. The dataset, created by Xinghua Zhong and last updated in May 2026, includes results from morphometric analysis, whole-cell recordings, chemogenetic manipulation, and single-nucleus RNA sequencing. It is shared under a CC-BY-4.0 license on figshare.
1.9 GB of processed neural and behavioral data from head-fixed mice navigating virtual environments. The dataset, authored by Geonung Youn in 2026, was used to examine how learned reward probability modulates ripple-associated reactivation across hippocampal and prefrontal circuits. It includes spike timing, ripple events, licking, and spatial position variables recorded with Neuropixels probes.
A dataset from 727 participants aged 50–84 years old, used to develop and validate the Views of Cognitive Aging (VoCA) questionnaire. The data includes responses to VoCA sections on generalized and personal views, other views of aging measures, and cognitive task performance. The dataset was created by Enrico Sella and last updated in May 2026.
2,156 firefighters participated in a study examining the relationship between belief in a just world, resilience, rumination, and PTSD symptoms. The dataset likely contains survey responses used to test a moderated mediation model. The data was uploaded by Peng Wu and last updated on 2026-05-20.
Rafay Cheema's dataset contains magnetic resonance spectroscopy data from a study of 14 stroke patients and 10 healthy controls, published on figshare in 2026. It includes metabolic markers of neuronal integrity (N-acetylaspartate) and neurotransmission (glutamate-glutamine) measured in the primary somatosensory cortex. The data was analyzed to investigate correlations with hand impairment in subacute and chronic stroke phases.
83 patients with glioma who underwent craniotomy and tumor resection were studied in a single-center retrospective comparative study. Cognitive function was evaluated using the Montreal Cognitive Assessment, and quality of life was assessed with the EORTC QLQ-C30 questionnaire at baseline, discharge, and 3 months post-surgery. The dataset, authored by Xiao-Ping Zhang and last updated in May 2026, compares outcomes between routine care and multidisciplinary collaborative nursing groups.
Balázs Mészáros provides a 534.9 MB dataset of trained Spiking Neural Network model checkpoints for the paper 'A Complete Pipeline for deploying SNNs with Synaptic Delays on Loihi 2'. The checkpoints are in numpy format and were trained on the Spiking Heidelberg Digits and Spiking Speech Commands datasets using mlGeNN 2.3.0. The dataset was last updated on 2026-05-07.
Fawn Harrad-Hyde provides anonymised interview transcripts from a study on peer mentoring support for family carers. The dataset includes transcripts from 14 current family carers and 15 bereaved family carers of individuals with cognitive impairments in care homes. Data was last updated on 2026-05-12 and is shared under a CC-BY-4.0 license.
fNIRS Dataset for Stroop Decoding provides functional near-infrared spectroscopy data acquired during a color-word Stroop task. The dataset consists of frontal hemoglobin responses from 55 young adults, with each participant completing three sessions over approximately two weeks to collect more than 30 trials per condition. It was authored by Zeng Lingwei and last updated on 2026-05-29.
RMETNet is a dataset containing structural details for a novel deep learning framework designed for motor imagery electroencephalogram (MI-EEG) analysis. The framework integrates spatio-temporal convolution and Riemannian geometry features, and was tested on the BCI Competition IV 2a and 2b datasets. The dataset, authored by Yun Zhao and last updated on 2026-04-22, is a 9.5 KB XLS file.
NEURONpyxl is a Python tool for constructing biophysical neural network simulations from spreadsheet parameters. The dataset, a 169.6 KB PDF authored by Uri Dickman and last updated in May 2026, describes the tool's development and validation against the SNNAP simulator. It was used to optimize conductances in a model of Aplysia californica feeding behavior.
A Python tool named NEURONpyxl reads parameters from a spreadsheet to construct and simulate biophysical neural networks. It was developed by Uri Dickman and last updated on 2026-05-19. The tool was validated against the SNNAP simulator and used to optimize a model of Aplysia feeding behavior.