Datasheet for Data-Driven Network Neuroscience: On Data Collection and Benchmark

Was there a specific task in mind? A. What do the instances that comprise the dataset represent Graph is an ideal model for human neural data. Are there the expansion in the size, scope and complexity of human multiple types of instances (e.g., movies, users, and ratings; neural data in recent years, making a large collection of brain people and interactions between them; nodes and edges)? Our released This collection consists of the brain networks of a number data collection aims to fill this gap and lower the barrier to of subjects, where each subject represents a person (could be entering this interdisciplinary field, with the hope to promote healthy or with some brain condition). Each brain network the research in graph-based analytical and clinical studies has regions-of-interest (ROIs) as nodes and the correlation such as the detection of neurodegenerative conditions. The BOLD signals of ROIs are also presented as node features. B. Who created the dataset (e.g., which team, research group) and on behalf of which entity (e.g., company, institution, B. How many instances are there in total (of each type, if organization)?