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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,787 datasets
A dataset from a study chemogenetically silencing 21 brain regions to test network hub importance for fear memory consolidation. The data supports the hypothesis that highly connected hub regions, identified via c-fos expression mapping and in silico network analysis, produce the largest memory deficits when silenced. It includes results from independent experiments covering 25% of an 84-region functional network.
Dryad hosts electrophysiological brain recordings from 4–6 month old infants viewing natural object images at 6 images per second. The dataset captures a face-selective neural response at 1.2 Hz over the right hemisphere, absent for phase-scrambled control images. These findings by Adélaïde de Heering, published in 2020, indicate early development of face perception capabilities.
Aggregating simulation outputs comparing candidate proxies for the local field potential (LFP) derived from leaky integrate-and-fire (LIF) network models against a ground-truth LFP from a 3D multi-compartmental neuron model. It was created by Alberto Mazzoni and published in 2020 to facilitate quantitative comparison between computational models and experimental LFP recordings.
A collection of experimental data from an in vitro model of the ischemic penumbra, studying neuronal dynamics under controlled hypoxia. It was created by Joost le Feber and published in 2020. The data documents changes in spontaneous activity and network connectivity over periods of hypoxia ranging from short durations to approximately 30 hours.
Comprising data from a prospective, multi-center study analyzing autonomic and breathing biomarkers for Sudden Unexpected Death in Epilepsy (SUDEP). It includes observations from 148 generalized convulsive seizures across 87 adult patients with intractable epilepsy. The study characterized phenomena such as ictal central apnea, post-convulsive central apnea, and asystole.
Encompassing electrophysiological measurements from 10 healthy individuals performing elbow extension under seated, standing, and unstable wobble board conditions. It quantifies the cutaneous silent period (CSP) and excitatory responses (E1, E2) in the triceps brachii muscle, expressed as percent change from baseline and individual durations. The data was collected to examine how whole-body instability modulates reflex inhibition in the upper limb.
A collection of fMRI data from a study modeling brain activity during naturalistic story reading. The integrated computational model predicts fMRI activity from text passages with 74% accuracy for distinguishing story segments. It tracks diverse reading subprocesses from word perception to narrative character relationships.
A Portuguese translation of the 'mlabonne/orpo-dpo-mix-40k' dataset, created by user BornSaint and last updated on 2025-05 06. The dataset was translated using a quantized machine translation model over more than a week on a single GPU thread. The original dataset is likely used for preference tuning and reinforcement learning from human feedback.
A neuropsychological dataset from 71 Parkinson's Disease patients without dementia, collected by Alonso-Recio, Laura. The data includes results from a battery of memory and executive function tests, such as semantic fluency, the Boston Naming Test, and the Trail Making Test. The dataset was last updated on October 14, 2025.
A CC0-filtered version of the Megalith-10m dataset, containing images gathered from Flickr. The images have been persisted to an independent public S3 bucket supported by the AWS Open Data Registry program for durability. The dataset was created by Spawning and last updated on June 8, 2025.
A WMS service from the Bundesamt für Kartographie und Geodäsie details the 'Seegaerten II - Handel - Dienst und Wohnen 2013' development plan. This geospatial dataset maps land-use zoning for trade, services, and housing in the municipality of Weil im Schönbuch. The service was last updated on August 1, 2025.
Biophysical models analyze the determinants of chloride ion driving force for synaptic inhibition. The dataset includes numerical and analytic solutions from pump-leak models. It was authored by Kira Michaela Düsterwald and published in 2020.
This dataset contains resting-state EEG signals analyzed to identify large-scale functional brain networks. The data was processed using a two-step method involving EEG-based source localization and spatial independent component analysis, followed by hierarchical clustering for group-level network identification. It was authored by Denis P. Schwartz and published in 2020.
Comprising behavioral data from two psychophysical experiments investigating how categorical choices alter the accumulation of subsequent evidence. The study examines biases in processing abstract numerical and low-level perceptual information, with computational modeling revealing a reduction in sensitivity via multiplicative gain modulation. The author is Zohar Z. Bronfman.
2020 research data from Kevin Caref investigates the role of endogenous opioids in the nucleus accumbens (NAc) on appetitive behavior. The dataset contains simultaneous recordings of NAc neuronal firing and behavioral data from rats performing a cued approach task for high-fat food under conditions of satiety. It was collected to test a specific neural mechanism hypothesis regarding overconsumption.
AllenAI created a dataset of mathematical problems organized into families, each spanning multiple difficulty levels. The dataset was last updated on July 15, 2025. This structure is intended for studying how mathematical reasoning scales with complexity within specific domains.
A dump of the Korean wiki site namu.wiki, containing 571,308 rows of text data. The dataset was extracted and preprocessed using the namu-wiki-extractor tool, with a snapshot date of March 1, 2022. It was uploaded to Hugging Face by user heegyu in January 2023.
AerialMegaDepth is a dataset for learning aerial-ground scene reconstruction and novel view synthesis, presented at CVPR 2025. The dataset was created by Khiem Vuong, Anurag Ghosh, Deva Ramanan, Srinivasa Narasimhan, and Shubham Tulsiani. It was last updated on the Hugging Face platform on 2025-09-30.
MegaPairs is a dataset containing over 26 million multimodal retrieval instruction-tuning triplets for AI/ML practitioners. The dataset was created by JUNJIE99 and uploaded to Hugging Face on 2025-04-13. Images in the dataset have been resized to a resolution of 512 × 512 to enhance accessibility.
Four-component 3DEM dataset from the rat dentate gyrus, supporting a 2025 paper on astroglial responses to synaptic plasticity. Serial-section EM images are paired with PyReconstruct trace files, 3D Blender reconstructions of tripartite synapses, and a CSV of quantitative measurements. The dataset is hosted on the 3dem.org public data cloud.