FAIRsharing record for: Scientific Data Repository

This FAIRsharing record describes: This project is the first to combine the notion of a data repository with real-time visual analytics for interactive data mining and exploratory analysis on the web. This large comprehensive collection of data is useful for making significant research findings as well as benchmark data sets for a wide variety of applications and domains and includes relational, attributed, heterogeneous, streaming, spatial, and time series data as well as non-relational machine learning data. All data sets are easily downloaded into a standard consistent format. We also have built a multi-level interactive visual analytics engine that allows users to visualize and interactively explore the data in a free-flowing manner.