The dataset presents the output power estimations for the months with high expectancy of snowfalls.

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Figure Data Backup for paper, "Co-Evolution of Malware Threats in the U.S. Commercial Sector and Defense Industrial Base"

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This dataset describes a collection of 700 different leaders throughout European history across 22 different states. Each leader is described by eight different categories of information: first name, last name/title, the century they ruled, the state in which they ruled, their formal position, their dynasty/family/political party, cause of death, and years of reign. This information can be used for training neural networks targeted at high level associative learning. 

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This dataset is the recorded data for a Dissipative Particle Dynamics simulator which is designed to run on an event-driven high performance computing platform, POETS (poets-project.org). 

This is in support of an article submitted to IEEE Transactions on Parallel and Distributed Systems, entitled "An event-driven approach to Dissipative Particle Dynamics".

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