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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,288 datasets
Adjusted prevalence rates of cognitive disabilities among persons living in rural areas, measured as a percentage of the rural population. The dataset is provided by the Disability Data Hub (DDH) and aggregated via the World Bank platform. Specific temporal coverage and update frequency are not specified.
World Bank data estimates the adjusted prevalence of cognitive disabilities among male persons, focusing on those experiencing at least a lot of functional difficulty. The dataset is sourced from the Disability Data Hub (DDH) and provides percentage figures for male populations. Specific temporal and geographic coverage details are not provided.
Global indicators measure the adjusted prevalence of cognitive disabilities among female populations. The dataset is produced by the Disability Data Hub and hosted by the World Bank. The temporal coverage and specific row count are not provided.
World Bank data from the Disability Data Hub provides adjusted prevalence rates for persons with cognitive disabilities, defined as experiencing at least a lot of functional difficulty. The dataset covers global health and demographic metrics. It is published by the Disability Data Hub (DDH).
World Bank data provides the adjusted prevalence of cognitive disabilities among persons aged 65 or older, measured as a percentage of that population. The dataset is curated by the Disability Data Hub (DDH) and focuses on functional difficulty metrics for global health analysis.
Disability Data Hub (DDH) provides a dataset on the adjusted prevalence of cognitive disabilities among persons aged 55 to 64 years. The data likely contains time-series estimates of the percentage of this age group experiencing at least a lot of functional difficulty. It is published on the World Bank platform.
World Bank data from the Disability Data Hub estimates the adjusted prevalence of cognitive disabilities for the global population aged 45 to 54. It provides a percentage metric for individuals reporting at least a lot of functional difficulty. The dataset supports analysis of aging and disability trends.
Adjusted prevalence of persons aged 35 to 44 years with cognitive disabilities i.e. at least a lot of functional difficulty (% of persons aged 35 to 44 years) is a dataset from the World Bank platform. It is provided by the Disability Data Hub (DDH) and focuses on a specific demographic age group. The dataset's exact size, temporal coverage, and update frequency are not specified.
Adjusted prevalence data for cognitive disabilities in the 25-34 age group, sourced from the World Bank. The dataset is provided by the Disability Data Hub (DDH) and focuses on functional difficulty metrics. Its specific temporal and geographic coverage requires verification after download.
World Bank data provides adjusted prevalence estimates of cognitive disabilities among youth aged 15 to 24 years. The dataset, managed by the Disability Data Hub, offers a time-series view of this demographic's functional difficulties. It supports global health and disability inclusion analysis.
World Bank data measures the percentage of persons with cognitive difficulties who have adequate housing. The dataset is compiled by the Disability Data Hub (DDH) and focuses on social indicators related to disability.
MEGAMI is a neuroscience dataset whose title suggests a focus on Magnetoencephalography (MEG) and anatomical MRI data. It is hosted on Kaggle, a platform for data science competitions and projects. The dataset's specific scope, size, and collection details are not provided in the available metadata.
47 evidence-based steps for auditing large language models using the LVC method. The dataset likely contains structured evidence or metrics related to cognitive failures identified during forensic analysis. Its origin and specific contents are not detailed.
EEG_FEIS is a dataset of electroencephalogram (EEG) signals, likely containing brain activity recordings. The dataset is hosted on Kaggle, but its specific size, collection methodology, and authorship details are not provided in the available metadata. Columns and sample data are unknown, limiting immediate assessment of its structure and content.
EEG data likely contains recordings of electrical brain activity. The dataset is published on Kaggle, but details on its size, origin, and specific features are unavailable. Further verification of the actual content is required after download.
Encompassing experimental results from a neuropharmacology study investigating a GluN2B-selective positive allosteric modulator. The research measures the compound's effects on synaptic plasticity in rats and its ability to reverse behavioral abnormalities in Mecp2 and Disc1 transgenic mice across multiple cognitive and behavioral tests. The specific number of data rows, columns, and sample size is not provided in the input.
One hundred hand-authored scenarios designed to probe logical contradictions and metacognitive monitoring. The dataset appears to be a collection of textual prompts or narratives created for cognitive science research. Its origin, license, and exact structure are unspecified.
HMEG_PRIVATE is a neuroscience dataset hosted on Kaggle. The dataset's title suggests it contains magnetoencephalography (MEG) recordings, a technique for measuring brain activity. No further metadata is available to confirm its size, origin, or specific content.
Audit logs and metrics for evaluating metacognitive resilience in frontier LLMs. The dataset likely contains logs of system interactions and performance metrics. The author and organization are unknown.
The Metacognitive Awareness Inventory (MAI) for LLM is a structured dataset based on the classic 52-item psychological instrument. It has been translated and adapted to evaluate self-awareness in large language models. The dataset is hosted on Kaggle, but the author, organization, and last update date are unknown.