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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,254 datasets
Three appendices provide extended data for a systematic review on socio-cognitive factors affecting insulin adherence in late adolescents and young adults with type 1 diabetes. The data includes a PubMed search strategy, an NHLBI quality assessment tool, and a Cochrane-adapted data extraction form. Author Hanan AlBurno compiled this data under an Open Access license.
Stefan Donath's dataset measures lactate dehydrogenase activity as a marker of cell death in primary cortical neurons subjected to 150 minutes of oxygen-glucose deprivation. The data likely contains results from experiments where neurons were transduced with lentiviral particles for ARC knockdown or treated with TAT proteins. The dataset is associated with an open-access research paper on the paperswithcode platform.
A 2018 tutorial dataset provides EEG data and analysis scripts for source-modelling auditory processes. The data accompanies a Frontiers in Neuroscience article by M Stropahl, AKR Bauer, S Debener, and MG Bleichner. It includes necessary software toolboxes and scripts for replicating the published analysis.
Test scores for confidence level, work pattern, and physical distraction of dental students, where higher scores signify greater confidence, non-restricted work patterns, and low distraction. The dataset also includes corresponding haemoglobin levels for each participant. It was authored by Mohit Sareen and is available via the paperswithcode platform under an Open Access (green) license.
Protein-protein interaction prediction results for six targets from the CASP14 experiment. The data includes results from ZDOCK with AF2 models, OmegaFold-linker, AF2-linker, and two versions of AF2-Multimer. Yu Yamamori authored this dataset, which corresponds to a figure in a 2022 Biophysical Reviews article.
The dataset provides encoded measurements and multi-spectral reconstructions of three scenes: an ISO12233 resolution chart, a gridded farmland, and a miniature landscape with upstream sewage discharges. It includes source data for statistical plots, provided in an Excel file. The data was authored by Weihang Zhang and is available via the paperswithcode platform.
Species richness and abundance data for reptiles collected over four years following two megafires in the eastern Iberian Peninsula. The dataset includes counts from both burnt and unburnt plots, allowing for comparative analysis. Xavier Santos compiled this data, focusing on reptile resilience in the Mediterranean basin.
Mario Pinilla's data and code accompany a study on improving mass nesting for two Osmia mason bee species. The dataset likely contains experimental results comparing nest designs and attractant sprays. It is available under an Open Access (green) license.
Stefan Donath's dataset contains dose-response curves measuring the survival of primary mouse cortical neurons after oxygen-glucose deprivation (OGD). The data likely shows the effect of exogenous ARC protein transduction compared to a control treatment. It is derived from 4 independent experiments.
Shinya Nakamura provides raw data from an optogenetics experiment. The dataset includes recordings of ChR2-transduced PL neuron activity in response to blue-light pulse trains at 1, 5, 10, and 20 Hz frequencies. Data covers 8 neurons and includes TTL signals for light pulse generation.
1,810 Brazilian people answered the Inductive Reasoning Developmental Test. The dataset was used in a research paper exploring Random Forest as an imputation method for psychology research. The author of the associated paper is Hudson Golino.
A 2-hour recording of ChR2-transduced PL neuron activity in response to repeated optogenetic stimulation. The dataset includes raw signals and timestamps of spike events for 61 repetitions of 20-Hz blue-light stimulation. It was contributed by Shinya Nakamura via the paperswithcode platform.
Scientific Data Curation Team provides a dataset for multimodal brain imaging integration. The data descriptor describes simultaneous EEG-fMRI recordings collected during a neurofeedback task. It includes human-readable and machine-readable metadata files in CSV and JSON formats.
Figures and a movie are associated with a published scientific paper on neural markers of performance states. The data is a case study of an Olympic athlete during air-pistol shooting, collected via EEG. The paper was published in the Journal of Science and Medicine in Sport.
Volumetric imaging data captures whole-brain neuronal activity at the cellular level in behaving larval zebrafish. The dataset includes raw and processed calcium imaging timeseries from experiments involving optical uncaging of nutrients in the gut and vasculature, alongside visuo-motor stimulation. The 233.4 GB dataset was created by researchers from Janelia Research Campus and other institutions and was last updated in April 2026.
A study by Cuina Zhang, last updated in May 2026, examines the restorative benefits of semi-outdoor environments near classrooms (SENC). The dataset likely contains results from 70 participants in a controlled experiment, assessed using the Classroom Veranda Wandering Test (CVWT), electroencephalograph (EEG) readings, and the Spatial Memory Span Test (SMST). It provides empirical evidence for the impact of 5-minute and 10-minute exposure durations on cognitive performance and neural activity.
79 stations of underwater video footage and still photographic images were collected during the SOL5117 survey in Joseph Bonaparte Gulf between July and September 2010. The survey was conducted by Geoscience Australia in collaboration with the Australian Institute of Marine Science and the Museum and Art Gallery of Territory. Its aims were to map geohazards and sensitive seabed environments relating to infrastructure.
A three-dimensional atlas mapping the spatial distribution of genetically-defined somatostatin (SST), parvalbumin (PV), and tyrosine hydroxylase (TH) GABAergic interneurons across the mouse dorsal striatum (caudoputamen). The dataset was created by Jonibek M. Muhsinov using genetic labeling, caudoputamen-wide imaging, and voxel-wise quantification, and was last updated in April 2026. It reveals distinct spatial gradients, such as SST and TH enrichment in ventral regions and PV enrichment in dorsal and posterior areas.
A 5.5 KB dataset containing parameters for a biophysically detailed multi-compartment model of rat CA1 neurons. The data, authored by Yue Yuan and last updated in April 2026, supports research on how high-frequency stimulation and extracellular potassium concentration influence axonal excitability and firing patterns.
Electrical parameters of the CA1 pyramidal model is a dataset by Yue Yuan, published on figshare under a CC-BY-4.0 license and last updated on April 28, 2026. The dataset is 5.5 KB in size and contains data supporting a study on how high-frequency stimulation shapes axonal excitability. The data likely contains parameters related to electrode-axon geometry and extracellular potassium dynamics from a biophysically detailed multi-compartment model.