Sentence examples for a reservoir of data from inspiring English sources

Suggestions(1)

The phrase "a reservoir of data" is correct and usable in written English.
It can be used to describe a large collection or store of information that can be accessed or utilized.
Example: "The research team has created a reservoir of data that will be invaluable for future studies on climate change."
Alternatives: "a wealth of data" or "a pool of information."

Exact(1)

Instead, it thins the music stream so that it funnels through the congestion, maintaining a reservoir of data that buffers any disruptions.

Similar(59)

Because Abell 1795 is a target that Chandra observes regularly to help calibrate its instruments, the researchers had access to an unusually large reservoir of data on this object.

Over the long-term, DonorsChoose also thinks it can become a pioneer in peer-to-peer, education-focused philanthropy by leveraging its growing reservoir of data to help paint a clear picture of inequity and bureaucracy within the U.S. education system.

Since Foursquare has collected 2 billion data points through the service since 2009, it can mine correlations in its reservoir of data to make better suggestions.

Instead, he wanted to discuss the issue that has taken him on a nationwide "college tour," with Stanford as its last stop: what to do with the so-called "knowledge reservoir" of data held by the FDA as well as by health-care organizations and universities.

Non-model systems necessarily must tap into this reservoir of data using BLAST and assumptions of gene function homology, and the genome or gene set of a related but potentially very divergent species.

This surveillance data identified a reservoir of poliovirus transmission in Turkey, from which 26 cases were detected in 1998, shared with northern Iraq.

Burma may represent a reservoir of infection for its neighbours, but few data exist on the magnitude of transmission among border populations of Burma.

Together, they constitute a deep reservoir of scientific data that until recently has not been tapped.

Today, businesses capture vast reservoirs of data on a regular basis — about their customers, their trading partners, and their own operations.

But these approaches leave large reservoirs of data untapped.

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