Sentence examples for data complementing from inspiring English sources

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The second edition includes brand new material that focuses on computational approaches to understanding data, complementing traditional computational problem solving.

Computational studies using LES on unstructured meshes of up to 340 million cells provide detailed surface and off-body flow field data, complementing the experimental investigations and providing the opportunity for reciprocal validation of experiments and computations.

As internet search engines have become much more sophisticated since the collection of the MERCI data, complementing newspaper articles with other types of data has become easier.

Based on these data and insights, the research team developed a series of suvey questions designed to generate data complementing existing approaches by examining the impact of rural life nostalgia and the strength of land owner opinions.

With their success in measuring diversity on large spatial scales [21], determining ecological factors that influence forest structure [19], and estimating emission factors under REDD + [18], logging inventories may provide a suitable source of forest data, complementing ecological datasets and helping to estimate baseline carbon stocks.

For more robust modelling of seasonal influenza, serological data complementing sentinel information would be beneficial.

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Tree-ring data, complemented with vegetation analysis, was used to study the avalanche path.

The survey data complements and supplements what we have learned from other surveys and from student feedback.

The interpretation of 2D and 3D seismic reflection data complemented with gravity data allows the crustal architecture of the deepwater west Niger Delta passive margin to be defined.

The data contained in sPlot (the vegetation-plot data complemented by trait and environmental information) are available on request, by contacting any of the sPlot consortium members, for submission of a paper proposal.

The values of parameters in the model are determined by comparison of the model solutions to published experimental data, complemented with a sensitivity analysis of the fitted parameters.

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