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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,731 datasets
Hrishikesh Pable's research presents a computational framework for estimating effective connectivity from source-localized EEG data. The study analyzes bidirectional interactions among the Salience, Default Mode, and Task-Positive networks during rest and the encoding phase of a free-recall task. It investigates the mediating influence of individual differences in mental visual imagery, as measured by the Vividness of Visual Imagery Questionnaire.
A study of 136 antipsychotic-naïve first-episode schizophrenia patients and 136 healthy controls tracked cognitive change over 6 months. It includes longitudinal data on plasma kynurenine pathway metabolites, inflammatory markers, and immune-cell subsets. Cognitive performance was assessed using the MATRICS Consensus Cognitive Battery.
A dataset supporting a multi-responsive retinomorphic sensor based on a two-terminal Sb2Te3/MoS2 heterostructure. The data was published by Yuhao Wang on figshare in April 2026. The dataset is 59.5 KB in size and is distributed under an MIT license.
A study dataset from 190 participants measuring implicit and explicit mental illness stigma. The data includes results from a Single Category Implicit Association Task and established self-report surveys for explicit stigma and social desirability. Elena Stoll authored the dataset, last updated on 2026-03 18.
A 34.8 KB review document authored by Wenya Shang and last updated on 2026-03-18. It outlines mechanisms and brain function detection approaches for neuromodulation strategies like transcranial magnetic stimulation and brain-computer interfaces in treating post-stroke cognitive impairment. The document discusses challenges and future prospects, including the integration of artificial intelligence for closed-loop systems.
214 individual records from a scoping review investigating physically aggressive behaviors in older people with major neurocognitive disorders. The dataset is sorted by publication year from latest to oldest and is associated with a published systematic review protocol. It was harvested from Borealis Dataverse by author Anne Bourbonnais and last updated in April 2026.
Laboratory experiments conducted by the Australian Ocean Data Network investigate the effect of water temperature on larval swimming behavior and development. Swimming behavioral responses were monitored for the first two zoeal stages, while larvae in development trials were reared through all five zoeal stages to the megalopa stage. The dataset was last updated on 2026-04-16.
A 7.5 MB document collection on the topic of environmental psychology, authored by X W and published on figshare. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-05-06.
2530 human-annotated therapy forum posts and 646 synthetic entries form a multi-label dataset for classifying cognitive distortions. The data was used to train the DistortionMlp model for an on-device CBT journaling app and was uploaded to Hugging Face by masked-kunsiquat on 2026-04 17.
A 99.0 B dataset from figshare, authored by Gyula Bencze and last updated in March 2026. It contains data related to the identification and validation of a novel small-molecule protein kinase inhibitor, designated F10V6W0/CSH-4044, isolated from fermented wheat germ extract. The dataset likely includes results from kinase profiling, structural elucidation, and functional assays in pancreatic cancer and neuronal cell models.
Gyula Bencze published a dataset on figshare in March 2026 detailing the identification and validation of a novel benzothiazole kinase inhibitor. The data, stored in a 2.8 KB CSV file, includes results from kinase profiling, X-ray crystallography, and functional assays in pancreatic cancer and neuronal cell models. The work characterizes the compound F10V6W0 and its synthetic analog CSH-4044, which selectively targets PIM and DYRK protein kinase families.
Featuring serum neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) biomarker measurements from a prospective case-control study of 102 Post-COVID syndrome (PCS) patients and 102 recovered controls. The data was analyzed to investigate evidence of CNS injury after adjusting for confounders like age, sex, and renal function (eGFR).
The dataset quantifies c-fos protein expression in four telencephalic nuclei (Dm, Dl, Vv, Vd) of male zebrafish following agonistic encounters. It compares neuronal activation across groups with different social memory states, including individuals who remembered an opponent, those treated with an amnesic agent, and a no-interaction control. The dataset is derived from immunohistochemical analysis.
MegaStyle-1.4M is a large-scale dataset of 1.4 million synthetic images designed for style consistency. It was generated by Tencent using a pipeline that maps 170,000 style prompts and 400,000 content prompts via the Qwen-Image model. The dataset was last updated on the Hugging Face platform in April 2026.
Likert-scale data on HOTs and MWS includes five-level Likert scale survey responses from grade 11 students. The dataset was authored by Yutong AO and published on figshare in April 2026. It is stored in an XLSX file with a size of 60.8 KB.
A 6-week randomized controlled trial protocol investigating the effects of combined training exercises on sprint and agility performance in futsal players. The study involves 62 recreational and competitive players aged 18–30 from Sawangi Meghe, Wardha, with primary outcomes measured by the 30-meter Sprint Test and Agility T-Test. The dataset, authored by Darpan Chaudhari and published on figshare in March 2026, likely contains results from this intervention.
Performance attained by the proposed model using behavioral and EEG signals datasets, authored by Sunil Kumar Sharma. The dataset is a 5.5 KB XLS file last updated on April 13, 2026. It is shared under a CC-BY-4.0 license on figshare.
Sunil Kumar Sharma's dataset, published on figshare in April 2026, outlines quality assurance measures applied to EEG and behavioral data. The dataset is 5.5 KB in size and is available as an XLS file under a CC-BY-4.0 license.
Naoyuki Suzuki published a dataset on figshare in March 2026 detailing the discovery of selective HDAC2 inhibitors for Alzheimer's disease. The data, stored in a 1 KB CSV file, originates from a high-throughput screening campaign using novel cellular assays to identify compounds that elevate histone acetylation in vivo without hematologic toxicity. The dataset includes results for hit compounds, including the optimized compound 11, which showed significant in vivo efficacy.
Raw neural data and stimuli from a study on how the bat brain processes overlapping echoes. The dataset includes electrophysiological recordings (PSTHs) from the auditory cortex of anesthetized Carollia perspicillata bats, alongside the acoustic stimuli and MATLAB analysis scripts. It provides a direct look at neuronal coding for distance and multiple objects in a specialized echolocating system.