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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,785 datasets
A neuroscience dataset titled 'kneega.tb' published on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further verification after download is required to confirm its exact nature and scope.
Psychology data published on Kaggle. The dataset's specific content, size, and authorship are unknown. Metadata is minimal; actual data requires verification after download.
An EEG dataset containing brain signal recordings, likely for neuroscience or machine learning analysis. It was published on Kaggle, a platform for data science competitions and projects. The specific collection method, author, and temporal coverage are not detailed in the available metadata.
A dataset of electroencephalography (EEG) signals, likely containing time-series recordings of brain activity. It is hosted on Kaggle, but the author, organization, and collection details are unknown. The dataset's size, row count, and specific temporal coverage are not provided.
A synthetic benchmark dataset for brain connectivity analysis, likely generated to model the human connectome. It is based on the Schaefer-400 atlas and is described as a virtual twin benchmark for task-evoked mapping. The dataset is hosted on Kaggle and is associated with platform tags for Graph Neural Networks and Random Forest.
Forest loss data for the northeastern Indian states of Meghalaya and Nagaland. The dataset is hosted on Kaggle and focuses on detecting changes in forest cover. The author, organization, and specific data collection details are unknown.
EEG signals recorded in response to steady-state visual evoked potential (SSVEP) stimuli, a common paradigm in brain-computer interface research. The dataset is hosted on the UCI Machine Learning Repository and is associated with platform tags including Visual Evoked Potentials and Brain Computer Interface. The specific collection details, such as the number of subjects, trials, and recording duration, are not provided in the input metadata.
Comprising 60 examples designed to test model metacognition across 4 distinct reasoning tasks. It is used for evaluating artificial intelligence systems.
Aggregating high-dimensional functional connectivity data and task-evoked brain activation records across multiple cortical regions. The collection facilitates the mapping of neural connectivity architectures to specific cognitive task responses.
Explorative mathematical problem settings from the paper 'OMEGA: Can LLMs Reason Outside the Box in Math?'. The dataset assesses whether a model can extend a single reasoning strategy beyond complexities seen during training. The dataset was authored by 'shuqike' and last updated on Hugging Face on 2025-12-28.
Comprising coding for a study of how Chinese learners of English choose referential noun phrases across three repetitions of a narrative retelling task. The study was authored by Jonathon Ryan and investigates evidence for the Cognitive Load Hypothesis.
The H-SAPI is a benchmark dataset for evaluating parity between human and synthetic cognitive performance across multiple domains. It is tagged for applications in text, cognitive science, artificial intelligence, and human-computer interaction.
Wavelet-transformed EEG signal recordings categorized by time-frequency characteristics for alcohol detection. The data provides processed neural features from multiple electrode channels to distinguish between alcoholic and control subjects.
Derived EEG features and probabilistic state transition labels across pre-ictal cortical states. Latent dynamics extracted from neural recordings characterize the transitions leading to seizure onset.
Electroencephalogram (EEG) signals for epilepsy detection using machine learning. The dataset contains time series data tagged with neurology and medical diagnosis labels.
Presenting a Data Management and Sharing Plan for a research project generating scientific data on 3D human neurocircuits. The plan outlines the strategy for managing and sharing project data related to the role of microglia in Alcohol Use Disorder and Alzheimer's disease neuronal pathology. The dataset's specific row count, column structure, and file formats are unknown.
A Data Management and Sharing Plan for a research project designing a social cognitive theory-based medication adherence coaching intervention. The plan describes the scientific data to be generated and outlines a strategy for managing and sharing project data. The author is Benyam Muluneh.
Data Management and Sharing Plan for a research project focused on the continued development of infant neuroimaging analysis tools. The plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data. The author is Li Wang, and the record was last updated in February 2026.
Data Management and Sharing Plan for a research project on enhancing adult-born neurons to restore brain functions in Alzheimer's disease. The plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data. Specific details on data volume, structure, and features are not provided.
A collection of a Data Management and Sharing Plan for a secondary data analysis project. The plan describes the scientific data to be used in research on the co-occurrence of Autism and ADHD in the US, examining factors like sex, diagnostic criteria, provider type, and cognitive ability. The specific data volume, structure, and column details are not provided.