Sentence examples for A plethora of data from inspiring English sources

A plethora of data are thus available, if someone were able to record and interpret them.In this section Genetically modified people Kitted out A solar-powered plane takes off Looks swell Making tracks Till death us do dart ReprintsIn the past, this has been expensive to do.

A plethora of data on the chemical and microbial ecology of chronic infection is now available, providing abundant material for researchers wishing to study the natural history of pathogens in the lab (for example, for CF: Yang et al., 2011; Folkesson et al., 2012; Quinn et al., 2014; Cowley et al., 2015; Kyle et al., 2015; Roberts et al., 2015; Turner et al., 2015; Flynn et al., 2016).

A plethora of data on phylogenetic relationships, chemical constituents and bioactivity are available through public databases (e.g., GenBank) and in the literature.

A plethora of data investigating HIV-positive patients demonstrates increased coronary arterial disease rates compared with a non-HIV population, particularly among women [ 94, 95].

Zendrive says it can gather a plethora of data points just from monitoring how a smartphone moves.

Conclusion: there is a plethora of data concerning varicose veins on the Internet.

A plethora of different data sources ranging from tissue microarray data to gene expression, proteomics or metabolomics data provide a detailed overview of the health status of a patient.

Accounting for a third of peak-time Internet traffic in the U.S., Netflix collects massive amounts of data about its users' viewing habits, and can break it down by region, time of day, watching hours and a plethora of other data.

Through the white-label offering, Topguest will be able to provide a plethora of social data to its hotel and travel partners, including not just events and check-ins, but all your Facebook profile data, including your gender, birthday, email, hometown, time zone, work, website, friends, groups, likes and interests, and more.

Does it have a plethora of existing data and analytics technologies to work with, or is it just starting out with its first analytics project?

And, as mentioned above, do your research, there's a plethora of scientific data about this technology and its many applications.