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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,755 datasets
KZ Media Developers created a high-quality synthetic dataset for training language models in deep logical reasoning. The dataset focuses on complex tasks in mathematics, programming, physics, and linguistic analysis. It was last updated on April 5, 2026.
Two nonhuman primate subjects performed over 26,500 self-paced reaches to grid targets while neural activity was recorded from up to 192 channels in M1 and S1 cortex. Data includes threshold crossing times of sorted spikes and fingertip/target positions at 250 Hz, collected from 47 sessions spanning about 11 months. The dataset was contributed by Joseph E. O’Doherty and is hosted on Papers with Code.
Mega Reasoning Mix Normalized v3 is a large-scale dataset created by dschauhan08 for fine-tuning Large Language Models. It combines over a dozen top-tier synthetic and filtered reasoning datasets, normalized into a unified schema. The dataset was last updated on 2026-04 03.
Survey data examines how family life-cycle stages influence migrants' settlement intentions in Chinese mega-cities, linked to hukou reform policies. The dataset is 74.5 MB in size, stored as an XLSX file. It was uploaded by 'For Reviewer' to figshare and last updated in April 2026.
NeuroScore is a dataset of 17,175 text items scored by predicted human brain activation using Meta's TRIBE v2 brain encoding model. The model predicts fMRI responses based on training data from over 700 human subjects, providing activation scores across 6 cortical regions, a composite engagement score, and an emotion profile. The dataset was created by author tushar710 and last updated on Hugging Face in April 2026.
King Sound in northwestern Australia provides the geographic scope for this dataset on cross-bedded tidal mega-ripples. The dataset was published by the Australian Ocean Data Network, with a record last updated in April 2026. It is a legacy product for which a detailed abstract is not available.
An R software package providing several cluster-robust variance estimators for linear regression models. It implements methods from Bell and McCaffrey (2002) and Pustejovsky and Tipton (2017), including bias-reduced linearization and small-sample corrections for hypothesis testing. The package author is James E. Pustejovsky.
A BIDS-compliant dataset contains structural and task-based functional MRI data from a study investigating neural responses. Participants viewed visual stimuli associated with dignity-related and non-dignity-related contexts while undergoing fMRI. The dataset was authored by xenificity and last updated on Hugging Face in April 2026.
Maps of global vegetation mega-biomes for two key paleoclimate periods: the Mid-Holocene (approximately 6000 years ago) and the Last Glacial Maximum (approximately 21000 years ago). The dataset, created by the SCIOPS organization for the Paleoclimate Modelling Intercomparison Project Phase II (PMIP2), groups observed biomes into broader functional units like tropical forest, savanna, and tundra to facilitate direct comparison with dynamic vegetation model outputs.
Images and data from a 2026 iScience publication by Prowse et al. The collection includes western blots of wild-type and mutant huntingtin expression in engineered human embryonic stem cells and live-cell imaging of BDNF endosomes and lysosomes in derived forebrain neurons. The dataset was authored by Adam G. Hendricks and last updated in April 2026.
84.4 MB of CSV files contain behavioral state variables and neuronal activity data for bumblebees. The data was collected by Inga Fuchs for a study on neural correlates of object and panorama matching. It was last updated in March 2026.
Electroencephalography (EEG) data from 40 participants in an overt naming experiment. The data has been processed using a denoising pipeline that removed gradient artifacts, ECG signals, and regressed out signals near the eyes and upper jaw. It was authored by Adrian Gilmore and last updated on April 25, 2026.
40 participants performed an overt naming experiment while their brain activity was recorded. Source estimated EEG data has been processed to remove gradient artifacts, ECG signals, and regressed signals near the eyes and upper jaw. This version does not include the independent component analysis (ICA) denoising step present in a related dataset.
Analyzed fMRI surface data for 40 participants in an overt naming task from a study on repetition-related neural activity. The dataset contains statistical map files for each modeled effect per participant and group-averaged results. Author Adrian Gilmore contributed this data, which was last updated on April 25, 2026.
25 participants' fMRI surface data from a covert naming experiment. The dataset contains statistical map files for each modeled effect per participant and group-averaged results, supporting research on repetition-related neural activity. It was authored by Adrian Gilmore and last updated in April 2026.
Experiment-specific code files support the analysis of neural activity and oscillatory power changes. The dataset is authored by Adrian Gilmore and was last updated on April 25, 2026. It contains the processing scripts used for a study on repetition-related neural reductions and behavioral improvement.
Sheetal Thomas Dataverse provides data used to study the influence and predictability of personality traits on financial behavior through handwriting analysis. The dataset was authored by Thomas, Sheetal and last updated on May 4, 2026. Its specific size, format, and structure are not detailed.
Main cell type densities (T-types) are summarized across major brain regions. The dataset is derived from a multimodal spatial atlas integrating transcriptomic and morphological data. It was authored by Csaba Verasztó and last updated in March 2026.
A 17.5 KB Excel file comparing baseline characteristics between cognitive frailty and non-cognitive frailty groups in training and validation cohorts. The dataset was authored by Shunli Zuo and last updated on March 25, 2026. It is associated with a study involving 325 stroke survivors and the evaluation of eight machine learning models.
A Data Management and Sharing Plan authored by Gang Li outlines the strategy for handling scientific data generated for the project 'Developing an Individualized Deep Connectome Framework for ADRD Analysis'. The plan describes the data to be used and shared, but specific details on volume, format, and structure are not provided. It was last updated on May 4, 2026.