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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,288 datasets
A 12-week cognitive behavioral therapy manual designed for clinicians treating clients with concurrent substance abuse, mental health, and anger problems. The manual was developed for studies at the San Francisco Veterans Affairs Medical Center and San Francisco General Hospital. It includes detailed instructions for 90-minute weekly sessions, conceptual components, and homework assignments.
Martin E. P. Seligman's work critiques traditional psychological measurement for overlooking the qualities that make life worthwhile. The description suggests a focus on concepts like compassion, courage, wisdom, and devotion, which are central to positive psychology. The dataset likely contains textual material related to these themes, sourced from the paperswithcode platform.
NASA Mega Dataset is a collection of data from the National Aeronautics and Space Administration, published on Kaggle. Its specific content, scale, and collection date are unknown from the provided metadata. The dataset likely contains information related to space exploration, astronomy, or Earth science.
A dataset titled 'vishal-eeg-latents' published on Kaggle. The title suggests it contains electroencephalography (EEG) data, potentially focusing on latent variable representations. The author, organization, and specific data details are unknown.
Features extracted from the Siena Scalp and CHB-MIT seizure EEG databases. The dataset likely contains derived metrics for analyzing brain activity patterns related to epileptic events. The original data sources are well-known public repositories for EEG research.
Experimental replication data for a medical study investigating the prevention of microglial activation and postoperative cognitive deficits via alpha5-GABAA receptors. Produced by Uwe Rudolph and hosted on Harvard Dataverse, the collection includes results segmented by sex to facilitate comparative biological analysis. The data was last updated in March 2026.
Data Megam is a neuroscience dataset published on Kaggle. Its title suggests it may contain aggregated results from multiple studies for large-scale analysis. The specific content, size, and collection methodology require verification after download.
923 bilingual French and English articles on cognitive behavioral therapy, attachment, anxiety, and clinical psychology. The dataset was sourced from Kaggle, but the author, organization, and last update date are unknown. The specific time range of the articles and the collection methodology are not detailed.
A conceptual dataset whose title references the philosophical question, 'Do neural networks dream of owls on roads?'. The dataset is hosted on Kaggle, but its specific contents, size, and creator are unknown. Its last update date and license are also unspecified.
EEG and driving logs recorded during motor imagery and motor execution scenarios. The dataset likely contains time-series brain activity data paired with behavioral logs from a driving task. Its author, organization, and specific collection details are unknown.
EEG data intended for training machine learning models, sourced from Kaggle. The dataset's specific scale, collection method, and temporal coverage are not detailed in the provided metadata. Further details about the number of subjects, recording channels, and time span require verification after download.
20,000 training examples form a subset of the OpenMed/Medical-Reasoning-SFT-Mega dataset. The data was sampled via a shuffle with a fixed seed and is intended for supervised fine-tuning. It was created by DedeProGames and last updated on Hugging Face in March 2026.
MegaVul is a dataset published on Kaggle, likely focusing on software vulnerabilities. Its specific content, size, and structure require verification after download. The dataset's creator and last update date are unknown.
Telephone Interview for Cognitive Status (TICS) data, likely containing cognitive assessment scores from structured interviews. The dataset is authored by Jason Brandt of Johns Hopkins University and is hosted on the paperswithcode platform. The specific number of records, features, and temporal coverage are not detailed in the available metadata.
A dataset titled 'megaminx_current_beam' published on Kaggle. The name suggests it contains data related to magnetoencephalography (MEG) source analysis, likely using a beamformer algorithm. The dataset's specific content, size, and origin are unknown from the provided metadata.
Lisa Basil and the Research & Politics Dataverse released this social science replication package in 2026 to support the study of conspiracy theory endorsement. It provides the specific data and code required to reproduce all statistical analyses, figures, and tables from the associated journal article.
Featuring survey evidence from local politicians and citizens regarding their expectations for the 2024 regional elections in Belgium. It explores the accuracy of predictions and the role of wishful thinking in shaping electoral estimations. The study compares expectations between politicians and the general public.
American megachurch data from three national surveys conducted in 2000, 2005, and 2008. The report was authored by Scott Thumma through a partnership between the Hartford Institute for Religion Research, Hartford Seminary, and Leadership Network. It focuses on developing patterns of growth and innovation in the nation's largest-attendance congregations.
Data from a study by Nora D. Volkow of the National Institute on Drug Abuse on the effects of methylphenidate on brain glucose utilization. It includes measurements from 23 healthy adults using Positron Emission Tomography (PET) with 2-deoxy-2[18F]fluoro-D-glucose during baseline, cognitive tasks, and drug administration. The dataset likely contains quantitative metrics of brain glucose metabolism under different experimental conditions.
EEG data likely contains recordings of electrical brain activity for training purposes. The dataset is hosted on Kaggle, but its specific origin, size, and collection details are not provided. Metadata is minimal, requiring verification of the actual data content after download.