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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,755 datasets
18.2 GB of high-resolution volumetric electron microscopy data demonstrates a novel, cost-effective method for collecting thousands of ultrathin brain sections. The dataset provides synaptic-resolution image data for brain mapping and connectomics research, created by author Gregg Wildenberg and last updated in March 2026.
A subset of the Brainomics/Localizer functional MRI dataset, prepared for the Dartbrains neuroimaging course at Dartmouth College. The dataset includes beta maps and event data for tasks such as audio computation. It was last updated on March 30, 2026.
CAS_EEG is a paired EEG-audio dataset for studying auditory target detection under continuous background noise. The dataset covers the full pipeline from source audio and stimulus-generation scripts to participant-level raw and preprocessed EEG data. It was created by author 'jatshi' and was last updated on the Hugging Face platform in April 2026.
SST K-Omega 0 Degree Angle of Attack Renders is a dataset by Parm Ghai, harvested from the Borealis Dataverse repository. The dataset was last updated on May 23, 2026. Its title suggests it contains visual renderings from computational fluid dynamics simulations using the SST K-Omega turbulence model.
A BIDS-compliant dataset contains pre-operative structural and resting-state functional MRI scans from 36 subjects, including 11 glioma patients, 14 meningioma patients, and 11 healthy controls. The data were originally collected for brain tumor connectomics research and have been used in key publications. The dataset was uploaded to Hugging Face by xenificity.
Divita Singh's dataset examines the effect of cognitive load on distractor interference in EIB (likely Error-Induced Blindness or a similar behavioral paradigm). The data is stored in a 1.2 MB XLSX file and was last updated on April 7, 2026.
DHARANI provides three-dimensional histological reconstructions of the developing human brain from 14 to 24 gestational weeks. The platform features 5,132 stained sections, postmortem MRI, and a neuroanatomical atlas with 466 annotated sections covering approximately 500 brain structures. It was created by the Sudha Gopalakrishnan Brain Centre at IIT Madras.
Video recordings from the International Space Station capture Drosophila melanogaster behavior under microgravity and artificial Earth gravity conditions. The dataset, produced by NASA, includes in-flight video analysis to study neurological deficits and the protective effects of artificial gravity. The data was last updated in March 2026.
NASA research on central nervous system changes in Drosophila melanogaster aboard the International Space Station. The dataset contains immunohistochemistry assay results from whole brains, comparing responses to spaceflight microgravity and artificially simulated Earth gravity. The study was last updated on March 13, 2026.
A 2026 dataset from NASA's International Space Station experiments on Drosophila melanogaster (fruit flies) examines neurological responses to microgravity and artificial gravity countermeasures. The data includes postflight climbing assay results and multi-omics analysis of metabolic, oxidative stress, and synaptic transmission pathways. It was published by the National Aeronautics and Space Administration to study central nervous system protection in space.
A Data Management and Sharing Plan outlines the strategy for handling scientific data generated by the 'Metacognitive AI' research project. Authored by Tianlong Chen, the plan describes the data to be used and/or created to improve AI reasoning and security. The plan was last updated on May 11, 2026.
Greg Feldman authored the Cognitive and Affective Mindfulness Scale--Revised. The dataset likely contains survey responses or scores related to this psychological assessment tool. Published on paperswithcode, its specific content and scale require verification after download.
Magnetoencephalography (MEG) data from an auditory stimulation experiment recorded using 305 sensors. The dataset includes a design matrix and separate measurements for left and right auditory stimulation. It was generated using the MNE-Python library and is shared under a BSD license by MNE contributors.
MEG data from an auditory stimulation experiment using 305 sensors, generated by MNE contributors. The dataset includes a design matrix and measurements for left and right auditory stimulation. It is distributed under a BSD license.
This statistical database, compiled by Juan Moises de la Serna in 2026, aggregates clinical study results and public health indicators regarding Mindfulness-Based Interventions (MBI) in Latin America. It synthesizes data from over 1,100 participants across Venezuela, Brazil, and Mexico, alongside regional anxiety prevalence statistics from PAHO/WHO 2021.
Participant-level data derived from MRI-guided transcranial magnetic stimulation experiments examining motor and phosphene thresholds. The dataset includes left-hemisphere and right-hemisphere data retained for analyses in an associated manuscript. It was authored by Remy Cohan and last updated on 2026-04-25.
Vertical profiles of seven atmospheric gases and temperature measured by the CrIS instrument on the NOAA-20 satellite. The data covers a 3x3 degree region over Los Angeles from April 1, 2021, to the present, with daily files in netCDF4 format and a spatial resolution of 14 km. The TROPESS project, led by principal investigator Kevin W. Bowman, uses the MUSES optimal estimation algorithm to produce this standard product.
From April 2021 to present, this dataset provides daily vertical profiles of seven atmospheric gases and temperature over a 3x3 degree region centered on Los Angeles. Data is measured by the CrIS instrument on the NOAA-20 satellite at 14 km spatial resolution and reported across 17 vertical levels. The NASA TROPESS project, led by Kevin W. Bowman, processes the data using the MUSES optimal estimation algorithm.
Raw magnetoencephalography and electroencephalography recordings capture brain activity from 15 participants listening to podcasts in their native languages. The dataset was created by author neukym and was last updated on the platform in April 2026. It is described in a scientific publication with the DOI 10.1038/s41597-026-06579-8.
Csaba Verasztó's dataset provides total cell and neuron density counts across major brain regions, derived from MERFISH data. The data aggregates density values and transcriptomic cell type counts, expressed as cells per cubic millimeter. The dataset is available as a 5.5 KB XLS file under a CC BY 4.0 license.