Loading...
Loading...
Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
2,288 datasets
STFT eeg-alzheimers-dataset is a collection of EEG (electroencephalogram) signals related to Alzheimer's disease, hosted on Kaggle. The dataset's title suggests it contains time-series brainwave data, likely processed using Short-Time Fourier Transform (STFT) methods. Specific details on the number of subjects, recording duration, and collection methodology are not provided in the available metadata.
An EEG dataset likely containing brain signal recordings processed using Short-Time Fourier Transform (STFT). The dataset is hosted on Kaggle, but specific details about its size, collection methodology, and authorship are not provided in the available metadata. The platform tags suggest a focus on neuroscience and time-series analysis of brain activity.
Robotflowlabs created a collection of 1,718,541 drone images, each with a caption. The dataset includes images across six modalities: original RGB, night, dusk, fog, rain, and thermal. It was last updated on April 16, 2026.
A dataset titled 'The Lattice Law: A Pre-Registered Cognitive Arc' published on Kaggle. The title suggests it contains data related to a pre-registered study in cognitive science or psychology. Its specific content, size, and authorship details are not provided in the available metadata.
Ryan Gorzek's dataset contains immunofluorescence images from the primary visual cortex of adult mouse and gray short-tailed opossum. The images, generated for a 2026 comparative study, include stains for parvalbumin, WFA, NeuN, and CC1 to support analysis of cortical cell types and inhibitory circuitry.
Study arms from PTSD clinical trials are coded for intervention types, delivery methods, and dosing parameters. Each record represents a treatment or control arm labeled A through D, with variables for pharmacotherapy, psychotherapy, and complementary health subclasses. The dataset is maintained by the PTSD Repository and was last updated in February 2026.
Multichannel sensorimotor cortex electrophysiology recordings from two monkeys performing reaching tasks. The dataset includes spike times sorted into units, fingertip and target positions sampled at 250 Hz, and spans 47 sessions over approximately 11 months. It was created by Joseph E. O’Doherty.
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.
An NLP classifier designed to detect ten types of psychological thinking patterns from Cognitive Behavioral Therapy. The dataset likely contains text samples labeled with cognitive distortion categories. It was sourced from Kaggle, but the author, organization, and specific collection details are unknown.
Processed TUEP EEG Data is a collection of electroencephalogram recordings published on Kaggle. The dataset likely contains time-series brainwave signals, though its exact size, collection period, and processing methodology are unspecified. Its origin is the TUEP project, but the author and organization details are unknown.
Processed EEG recordings from the TUEP database, focusing on subjects without epilepsy. The dataset is hosted on Kaggle, but the original author, collection methodology, and dataset size are unspecified. The data appears to be pre-processed for analysis.
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.
Sentinel-2 satellite imagery covers the Indian states of Meghalaya and Assam. The dataset is hosted on Kaggle, but its specific collection date, number of scenes, and processing level are not detailed in the provided metadata. Further details about the data's creator, exact time range, and file structure require inspection after download.
Resilient-MD is a dataset containing performance data and cognitive metrics. The dataset is hosted on Kaggle, but its specific size, collection method, and temporal coverage are not detailed in the available metadata. Further details about the data's origin, scale, and specific variables require verification after download.
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.
Over 7,000 Americans aged 25 to 74 were surveyed nationally in 1994/1995 as part of the Midlife in the United States (MIDUS) study. A longitudinal follow-up in 2004-2006 administered the Brief Test of Adult Cognition by Telephone (BTACT) to a sample including a core group (N=3,487), metropolitan oversamples (N=757), twins (957 pairs), and siblings (N=950). This dataset examines relationships between cognitive performance and biopsychosocial factors like SES, health behaviors, biomarkers, depression, and personality.
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.