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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,091 datasets
Corals were found growing abundantly in waters 20 to 30% under-saturated with carbonate, challenging predictions about ocean acidification impacts. This dataset examines the distribution, growth, and skeletal characteristics of scleractinian and gorgonian corals along a natural deep-sea carbonate gradient. The research was conducted by Parks Australia on seamounts off southwestern Australia and was last updated in July 2026.
12 files accompany the publication by Pala & Petersen (2018) from École Polytechnique Fédérale de Lausanne. The data set includes a primary Matlab data structure containing membrane potential recordings and unitary synaptic inputs from awake mice. It is accompanied by 10 Matlab scripts for data viewing, analysis, and figure generation.
Octave Etard's dataset contains unprocessed 64-channel EEG recordings from 18 participants listening to audiobooks under various listening conditions. The data includes native (English) and foreign (Dutch) language speech presented in quiet, speech-shaped noise, and competing-speaker scenarios, with stimuli and precise time-alignment annotations provided. This multimodal resource supports research into neural speech tracking, auditory attention decoding, and the brain's response to degraded speech.
240 EEG trials from 10 healthy participants reacting to four facial expressions displayed by the Miko social robot. The dataset includes raw and cleaned EEG data recorded at 128 Hz, along with stimulus onset markers. It was created by researchers at Imperial College London and published in 2021.
Sixteen subjects participated in a syllable discrimination task while receiving tactile pulses at a 5Hz rhythm. The dataset contains behavioral responses and EEG recordings from an hour-long session at 1kHz sampling rate, collected by Pierre Guilleminot at Imperial College London. It includes trial-level data on syllable type, tactile condition, and subject performance.
62 visual sightings of whales, dolphins, and sharks were recorded during dedicated aerial surveys within and around the Bremer Marine Park in southern Western Australia. The data reflect 25 hours of observer effort on transect and include four identifiable species: killer whales, sperm whales, long-finned pilot whales, and bottlenose dolphins. This dataset was created as part of a NESP Marine Biodiversity Hub project and is hosted by the Australian Ocean Data Network.
Unprocessed 64-channel EEG data was recorded from 13 participants listening to English audiobooks in noiseless conditions. The dataset includes the raw EEG signals, the audio stimuli, story transcripts, and derived linguistic features, all time-aligned. It was created to study cortical tracking of surprisal during continuous speech comprehension.
Dreyer Pauline from the Centre National de la Recherche Scientifique shares a database of electroencephalographic signals from 87 human participants, with more than 20,800 trials representing about 70 hours of recording. The data was collected during brain-computer interface experiments at Inria Bordeaux sud-ouest, France, and organized into three datasets (A, B, and C) following a protocol for right and left hand motor imagery tasks. It includes user performance, demographics, personality, cognitive profiles, and experimental codes executed in the OpenViBE platform.
NESP TWQ Project 3.2.3 addresses the need to monitor the aesthetic value of the Great Barrier Reef. The project uses eye tracking and heart rate measurement to understand contributing attributes and creates an AI platform to assess visitor-supplied imagery. The data was aggregated by the Australian Ocean Data Network and last updated in July 2026.
University of Edinburgh research provides EEG recordings from 23 participants using a 14-channel Emotiv EPOC+ headset. The dataset captures brain activity during listening, imagining, and speaking 16 English phonemes and 16 Chinese syllables. It includes raw EEG data, participant audio recordings, and the complete experimental setup for replicability.
Over 4 million neurons comprise the full data-driven computational model of juvenile rat primary somatosensory cortex, released as a 211,712-neuron subset in the open SONATA format. This model integrates detailed neuron morphologies, synaptic locations on dendritic trees, and connectivity algorithms for local and long-range circuits. Version updates include fixes to synapse property mappings and recalibrated thalamic input strengths to better match biological data.
A data-driven computational model details the anatomy of the non-barrel primary somatosensory cortex from a juvenile rat. It contains 211,712 neurons across 60 morphological types, with synaptic connectivity defined by local axo-dendritic overlap and long-range topographic mapping. The model is available in the open SONATA standard and includes neuron locations, detailed morphologies, and synapse placement on dendritic trees.
Tabular datasets from a study modeling Parkinson's disease using induced pluripotent stem cell-derived neurons in a custom microfluidic platform. The data includes source data plotted on main and supplementary figures, a key resources table, and a list of primers. The research was conducted by Quyen Do at the University of Oxford.
A 2026 meta-analysis by Jialiang Yu, aggregating results from 9 peer-reviewed articles comprising 11 studies on Brain Endurance Training (BET). The document reports pooled effect sizes for BET's impact on endurance performance, cognitive function, and mental fatigue resistance, following PRISMA 2020 guidelines. It is a 69.3 KB DOCX file shared under a CC-BY-4.0 license.
A dataset from Tsinghua University containing co-activation probabilities between neurons in the largest fruit fly brain connectome from the FlyEM project. The probabilities are derived from neural dynamics computations using a standard leaky integrate-and-fire model applied to the connectome. This is an old version; a newer version is available on Zenodo.
Three experimental studies by Jonathan Koppel of Aarhus University tested how cultural life scripts shape memory. The research measured recognition, recall, remember/know judgments, and memory for emotional valence. The primary finding was that higher-frequency life script events were more memorable than lower-frequency events.
A neuroimaging dataset providing a 52-parcel brain atlas derived from the Human Connectome Project Multimodal Parcellation (HCP-MMP). The parcellation was created by adapting the anatomical HCP-MMP atlas using functional signals from magnetoencephalography (MEG) recordings of healthy controls and Parkinson's disease volunteers, following the method of Tait et al. (2021). It includes parcellation files at multiple voxel resolutions, label files, and documentation detailing the merging rationale and parcel coordinates.
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.