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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,728 datasets
18.5 KB of descriptive results from a suppressor screen investigating microtubule regulation in C. elegans PLM neurons. The data, authored by Sunanda Sharma and last updated in April 2026, focuses on the role of the cytokinesis-associated protein CITK-1 and its interaction with ASPM-1. The findings suggest non-mitotic roles for these proteins in modulating microtubule stability and polarity in differentiated neurons.
A dataset from a suppressor screen investigating microtubule regulation in C. elegans PLM neurons. The data was generated by author Sunanda Sharma and last updated on April 15, 2026. It is a small dataset, 11.3 KB in size, stored in an XLSX file.
A figshare dataset by Sunanda Sharma, last updated in April 2026, containing a list of strains used in a genetic study of microtubule regulation. The 12.0 KB Excel file likely documents the specific C. elegans strains, including tubulin and CITK variants, employed in a suppressor screen investigating neuronal polarity and morphology.
Sunanda Sharma's dataset, last updated April 15, 2026, contains results from a suppressor screen in C. elegans PLM mechanosensory neurons. The screen investigated factors like KLP-7, CITK-1/2, and ASPM-1 involved in microtubule stability and neuronal polarity. The data is stored in a 10.4 KB XLSX file.
UnoBench is a benchmark for target-centric obstruction reasoning in robotic grasping under cluttered scenes. It is built upon MetaGraspNetV2 and extends the initial idea of FreeGraspData. The dataset was authored by FBK-TeV and was last updated on the Hugging Face platform in May 2026.
24.4 KB of experimental data on long-term potentiation and depression in rat hippocampal slices. Yu Zheng's 2026 study combined light and magnetic field stimulation synchronized with musical rhythms to modulate synaptic plasticity. The dataset records changes in fEPSP responses under single and combined stimulation modes.
A 176.2 KB PDF research paper by YiBo Xie, last updated in April 2026, investigates the role of oleic acid in Alzheimer's disease. The study combines NHANES survey data analysis with experimental validation in APP/PS1 mouse and astrocyte cell models. It concludes that oleic acid ameliorates pathology via the PKA/ACACB/CPT1A pathway to restore astrocytic fatty acid oxidation.
Eight supplementary microscopy videos document the formation and function of tunneling nanotubes in neuronal cells infected with pseudorabies virus. Videos contain 11 to 120 frames captured over durations from 120 to 600 minutes, showing filament formation and viral particle transport. The dataset was authored by Yan Kuang and uploaded to figshare in April 2026.
982.3 MB of electrophysiological recordings from the primary visual cortex of mice, originally collected by the Buzsaki Lab. The data was reanalyzed by the Shew Lab for studies on criticality in neural systems, as reported in publications from 2019 to 2026. Files are available in RTF and MAT formats under a CC-BY-4.0 license.
Postmortem human visual cortex samples were analyzed using liquid chromatography–mass spectrometry metabolomics and quantitative PCR. The dataset likely contains measurements of metabolites and gene expression levels from control, mild cognitive impairment (MCI), and Alzheimer's disease (AD) subjects. It was authored by Ulrik N. Mjaaseth and last updated on 2026-04-09.
9.3 KB of untargeted metabolomics data from postmortem human visual cortex samples. The dataset compares control, mild cognitive impairment (MCI), and Alzheimer's disease (AD) subjects, profiling metabolites and gene expression. It was authored by Ulrik N. Mjaaseth and last updated on figshare in April 2026.
Postmortem human visual cortex metabolomics data compares control, mild cognitive impairment, and Alzheimer's disease subjects. Untargeted liquid chromatography–mass spectrometry profiling reveals disruptions in glucose metabolism, mitochondrial function, and inflammatory markers. The dataset was created by Ulrik N. Mjaaseth and published on figshare in April 2026.
QC-01-175 was identified as a lead compound for degrading pathological tau protein. The dataset documents a medicinal chemistry campaign using frontotemporal dementia patient-derived iPSC neurons to discover and optimize tau-targeting protein degraders. M. Catarina Silva authored this study, last updated in April 2026.
A 2026 medicinal chemistry campaign employed frontotemporal dementia patient induced pluripotent stem cell (iPSC)-derived neurons to screen tau-targeting protein degraders. The dataset details structure-activity relationships and identifies lead compounds, including QC-01-175, based on their tau degradation efficiency in human ex vivo neuronal models. The work was authored by M. Catarina Silva and published on figshare.
Supplementary data for a manuscript analyzing multi-part papers in neuroscience and neuroimaging. The dataset is a 178.7 KB XLSX file published under a CC-BY-4.0 license by Andy Wai Kan Yeung. It was last updated on May 22, 2026.
EEG microstate data from 60-channel recordings during wakefulness, loss of consciousness, and recovery of consciousness under ciprofol anesthesia. The dataset includes power spectra across delta, theta, alpha, beta, and gamma bands, with microstate parameters for seven states (A-G). Fei Yan authored this research, which was last updated in April 2026.
A 526.4 KB PDF research article by Valentina Mazziotti, last updated April 2026, compares the inflammatory effects of lipopolysaccharides from Escherichia coli and commensal Phocaeicola vulgatus on microglial and neuronal cells. The study's data, shared under a CC-BY-4.0 license, includes measurements of nitric oxide, pro-inflammatory cytokines, TLR4 signaling, and neuronal integrity via immunofluorescence. Findings argue that neuroinflammatory outcomes are chemistry-dependent, challenging the universal use of LPS as a neuroinflammation model.
Xing Qian published the underlying numerical data for Figure 4 on figshare in April 2026. The dataset likely contains longitudinal measurements of brain structure-function integration within the executive control, default mode, and salience networks, and their association with cognitive flexibility test scores. The data is derived from resting-state fMRI and diffusion MRI scans across two independent aging cohorts.
Xing Qian's research data from a study on cognitive aging, published on figshare in 2026. The underlying numerical data supports analysis of how brain network integration changes with age and relates to cognitive flexibility. The dataset is 12.9 KB in size and is available in XLSX format.
The underlying numerical data for a figure in a neuroscience study on aging and cognitive flexibility. The dataset, shared by Xing Qian on figshare under a CC-BY-4.0 license, was last updated on April 13, 2026. It is a small file (18.9 KB) in XLSX format, containing data on brain network coupling/decoupling and cognitive test scores from two independent longitudinal aging studies.