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New construction data is valuable for its volume and its accuracy.
The diffusivity data is valuable for GDL manufacturers and future PEFC models.
The reported data is valuable for the development of predictive models of damaged-condition response in Flax-epoxy structures.
Sometimes the data is valuable for commerce — witness those Facebook ads for Italian shoes that my wife must endure — and sometimes for law enforcement and national security.
The installation damage data is valuable for future LRFD calibration to select resistance factors for use in design codes for the geosynthetic rupture limit state in reinforced soil structures.
Nevertheless Golledge insists the data is valuable for both workers and managers, whether you're someone looking to transition into one of these careers or are currently in one of these jobs and thinking about a lateral move.
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These mole fraction data are valuable for inference of kinetics and testing of reaction mechanisms.
Yet, because of their length and continuity these data are valuable for future research.
These experimental data were valuable for further development of a mathematical model to describe the complex hydrodynamics in a bubble column with phase change.
In areas of medium to dense biomass, the FIA data were valuable for evaluating map accuracy by comparing plot biomass to pixel values.
These visual data are valuable for process studies of phreatic eruptions, which have rarely if ever been recorded in such detail.
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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