Sentence examples for universe data from inspiring English sources

The "trophy" aspect of the revival is something that Jonny, 42, who works in Sounds of the Universe (data count: three midde-aged men) has noticed.

Just a few days ago, a NASA satellite called the Wilkinson Microwave Anisotropy Probe, developed in close cooperation with Princeton University, returned the earliest pictures yet of the infant universe, data that will form the basis for many areas of cosmology and astrophysics for years to come.

Thus, no doubt, to put the particular outcomes out in the universe, data should be delivered by a larger sample of students in a longer passage of time.

After determining the domain architecture for a nonannotated enzyme, various related enzyme reactions can be retrieved from the universe data set.

In this study, we investigated the intimate relationship between domain architecture and enzyme-catalyzed reactions by applying various criteria to the compiled universe data set of domains and EC numbers.

If the ERP tool cannot deduce the corresponding enzyme reactions from the ERP integrated universe set, a failure message, such as the domain architecture failure notice {SSF54211, SSF54236} shown in Figure 8 is displayed in the results dialog, indicating that enzyme reactions associated with the query domain architecture could not be deduced from the universe data set.

Dataverse in the Universe of Data: Data repositories are much more than "black boxes" where data go in but may never come out.

This universe of data sets will define the big data platform that will be used to explore testable hypotheses about CVD.

INTERNET search engines can lead you through a vast universe of data to the information you need on the Web.

The relationship between Embarq and NebuAd's technology test did not expand the universe of data to which Embarq had access beyond the data Embarq could access in its provision of internet services.

In the vast universe of data that can help you figure out which markets are best for you, the most important data points are: 1) how much estimated opportunity is available in that market, 2) how easy it will be for your company to do business in that market, and 3) how much success you've already had with that market.