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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,288 datasets
Encompassing spinal cord functional MRI scans acquired using a 7 Tesla Philips scanner from healthy individuals. Developed by D. Rangaprakash and updated in March 2026, the data has been processed using NORDIC denoising on both magnitude and phase images to minimize thermal noise. It provides high-field neuroimaging specifically focused on the spinal cord, a region typically challenging to image due to physiological noise.
Comprising search strategies for four medical literature databases: MEDLINE (Ovid), Embase (Ovid), CINAHL (EBSCOHost), and Cochrane CENTRAL. The strategies target the concepts of sedation, processed EEG, and ICUs. The number of results and specific search strings for each database are provided in an RTF file.
Aggregating robotic assessment data measuring cognitive function in participants with Temporal Lobe Epilepsy and Genetic Generalized Epilepsy. It includes participants aged 18 to 65 years old, excluding those with specific comorbidities or conditions. The study was supported by Queen’s University Faculty of Health Sciences and the PSI Foundation.
EEG_DL_Dataset_SV likely contains electroencephalogram (EEG) recordings intended for deep learning applications. The dataset is hosted on Kaggle, a popular platform for sharing machine learning datasets. Its specific content, size, and collection details are unknown from the provided metadata.
4,000 images were selected for visual clarity, composition, lighting, and stylistic appeal. Each image is captioned using the Qwen3-VL model and provided in PNG format at a resolution of 1024x1536. The dataset was created by user a3xrfgb and last updated on Hugging Face in December 2025.
Comprising raw experimental data from a study on neuronal inhibition in the ventral pallidum and its bidirectional effects on heroin-seeking behavior in mice. The data supports the manuscript by Owona et al. and is associated with research on GABA and glutamate systems.
MetaProbe is a benchmark suite for metacognitive tasks, likely containing multi-dimensional data. The dataset is hosted on Kaggle and is tagged for bioinformatics, genomics, and microbiome applications. Its specific size, authorship, and temporal coverage are unknown.
This dataset supports a study on the effects of AI anxiety on trust and distrust in human-AI interactions. The data was authored by David Gefen and last updated in February 2026. Specific details on the number of rows, columns, and sample data are unavailable.
This dataset supports a study on the effects of AI anxiety on trust and distrust in human-AI interactions. The data was authored by David Gefen and last updated in February 2026. Specific details on the number of rows, columns, and sample data are unavailable.
Interaction history logs documenting human attempts to solve Abstraction and Reasoning Corpus (ARC) tasks, created by neoneye and updated in March 2026. The data captures the iterative process of puzzle-solving, providing a sequence of actions rather than static solutions.
Kaggle hosts a dataset concerning the performance of students within a psychology department. The dataset's specific variables, size, and collection methodology are not detailed in the available metadata. Its origin, time frame, and geographic scope are also unspecified.
MetaProbe is a benchmark dataset for evaluating metacognitive abilities in artificial general intelligence systems. The dataset's multi-dimensional structure likely contains tasks and metrics for assessing self-monitoring and reflection. It was sourced from Kaggle, but details on its creator, size, and specific contents are not provided.
An overview of cognitive therapy for depression, covering treatment procedures, therapeutic effects, and mechanisms of change. The description discusses the therapy's acute effects, enduring benefits after treatment, and dissemination efforts. The dataset appears to be a textual summary or review paper sourced from the paperswithcode platform.
An electroencephalography (EEG) dataset published on Kaggle. The dataset likely contains time-series recordings of brain electrical activity. Specifics on the number of subjects, recording duration, and collection methodology are not provided in the metadata.
NeuroSophic EEG data likely contains brain activity recordings related to emotional and cognitive states. The dataset is published on Kaggle, but its specific scale, collection methodology, and authorship are not detailed in the available metadata. Further inspection is required to confirm the exact nature and volume of the neural representations.
Development plans for the Schulstraße (School Street) area in the local community of Reichenbach-Steegen. The dataset is provided by the Bundesamt für Kartographie und Geodäsie (Federal Agency for Cartography and Geodesy) and was last updated on January 23, 2026. It is available as a Web Map Service (WMS).
NeuroVista contains data on cognitive accessibility for users with ADHD, dyslexia, and neurotypical users. The dataset is sourced from Kaggle and focuses on web usability metrics. Specific details on volume, authorship, and temporal coverage are not provided.
EEGNet Friday is a dataset published on Kaggle. The title suggests it contains electroencephalogram (EEG) brain signal data. The dataset's specific content, size, and origin require verification after download.
AGI Cognitive Learning Performance Study is a dataset published on Kaggle. The dataset likely contains metrics related to cognitive learning tasks. Metadata is minimal; actual content requires verification after download.
Cognitive_learning_data.csv is a dataset hosted on Kaggle. The title suggests it contains data related to cognitive learning processes. Its specific content, size, and origin are unknown.