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Discover Ludwig"data increase" is an accepted and correct phrase in written English.
You can use it to describe an increase in the amount of data available on a particular topic. For example, "Recent advances in technology have allowed for a significant data increase in the fields of biology and medicine."
Exact(59)
"Openness" here doesn't measure whether such data increase accountability, only how many apps can be built on top of it, even if those apps pursue trivial goals.
The amount and complexity of scientific data increase exponentially.
Such data increase considerably the length of extreme events' time series available.
These data increase our understanding of the genetic basis of rainbow trout BCWD resistance.
In between, dip position data increase as aspect ratio becomes larger.
However, as the amount of training data increase, our prediction scheme will generate more VMP.
However, the requirement of data increase the complex of hardware platform.
As these data volumes for unstructured data increase, there is a need to extract more value from them.
However, as the detector solid angle increases the calculations required for accurate reconstruction of the data increase substantially.
With the advent of Big Data era has seen both the volumes and update rates of data increase rapidly.
These data increase our knowledge of the STS enzyme structure and may help design new STS inhibitors.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com