The phrase "vast datasets" is grammatically correct and can be used in written English.
It is typically used to refer to a large collection of organized data, often used in the context of scientific research or data analysis. Example: The team of researchers spent months analyzing vast datasets of meteorological data to identify patterns in weather patterns.
Such vast datasets are commonly referred to as "Big Data".
DOC produces and publishes vast datasets, generating enough information every day to fill the Library of Commerce twice over.
Grid applications have vast datasets and/or carry out complex computations that require secure resource sharing among geographically distributed systems.
Aiden can help stay on top of vast datasets, she says, and even detect shifts in the market before burning through the marketing budget.
We then focus on one widely used set of methods, dimensionality reduction techniques, which allow users to summarize and compare these vast datasets.
Airborne Laser Scanning (LiDAR) provides precise measurements of forest structure from which forest carbon can be monitored, providing wall-to-wall mapping at higher resolution than any other remote sensing product, and producing vast datasets with which to study drivers of forest structure and dynamics with strong statistical power.
The government (or whatever other contractor manages and performs dredging on this vast dataset) could set certain red flags or websites which when visited would trigger something to happen.
The PIAAC data offer a vast dataset with which to explore contact rates by time.
The inherently multinational nature of another serious crime, the sexual abuse of children, is also being tackled with the help of analytical tools that have to deal with a vast dataset made up of still images, video, HTML and text.
Many tools have been developed to visualize and analyze this vast dataset intelligently and efficiently.
Although we agree that the tool enables exciting potential follow-up investigations, we still consider that the description of such a vast dataset, that includes (as noted by the reviewer) potential viruses for host groups with no currently isolated virus, is akin to taking one (giant) step into the viral dark matter.
