NYUMets Brain Dataset

Brain/MINDS Marmoset Connectivity Resource (BMCR) is a resource that provides access to anterograde and retrograde neuronal tracer data, made available by Brain/MINDS project. It is currently restricted to injections into the prefrontal cortex of a marmoset brain but is planned to include injections into entire cortical areas and representative subcortical brain regions.

The Brain Language Metrics on Company Filings (BLMCF) dataset has the objective of monitoring several language metrics on 10-Ks and 10-Qs company reports for approximately 6000+ US stocks. Example of metrics are financial sentiment, percentage of specific language type in the document (e.g. litigious language) and similarity among documents. This extended version provides additional language metrics and an analysis of the whole report together with specific report sections (e.g. Risk Factors).

This collection unifies multiple brain datasets spanning critical care, sleep medicine, cardiopulmonary health, infectious diseases, and other aspects of clinical neuroscience. It includes large-scale electroencephalography (EEG) and polysomnography (PSG) recordings, brain imaging data (MRI, CT, PET), and supporting data to enable research in diverse areas of clinical neuroscience such as epilepsy, delirium, coma, sleep depth, sleep-related breathing disorders, meditation, subarachnoid hemorrhage, cardiac arrest, neuroinfectious diseases, and audiology. All data is de-identified and includes algorithmic tools and reproducible code. Access requires signing a data use agreement that prohibits re-identification, requires data security, restricts sharing, limits use to non-commercial research, and mandates reporting any potentially identifying information.

The BraiDyn-BC (Brain Dynamics underlying emergence of Behavioral Change) Database offers an extensive, multimodal dataset that links wide-field calcium imaging of the mouse neocortex to comprehensive behavioral measurements during a behavioral task. As one of the contents in this database, we newly provide a dataset that includes 15 sessions spanning two weeks of motor skill learning, in which 25 mice were trained to pull a lever to obtain water rewards. Simultaneous high-speed videography captures body, facial, and eye movements, and environmental parameters are monitored. The dataset also features resting-state cortical activity and sensory-evoked responses, enhancing its utility for both learning-related and sensory-driven neural dynamics studies. Data are formatted in accordance with the Neurodata Without Borders (NWB) standard, ensuring compatibility with existing analysis tools and adherence to the FAIR principles. This resource enables in-depth investigations into the neu[...]