Sentence examples for data for different types from inspiring English sources

"If you publish average consumption data for different types of property, then people try to beat the average," he stated.

Data for different types of low swollen hydrogels based on weakly crosslinked poly acrylic acid)/poly(sodium acrylate) copolymers are presented for swelling in deionised water.

We consider the effect of main characteristics of ship׳s hull form, with best fitting of available experimental data for different types of hull forms.

For example, in the case of this particular research, a specially designed questionnaire allows the researcher to collect data for different types of road environments.

The Ranking Metric (P S, V^{(i)})) can be computed using data for different types of crime and, since the ranking obtained by sorting the counties based on the victimisation rate of Robbery of a Person is different to the ranking of the other types of crime, we obtain different results for the (P S, V^{(i)})) metric.

Those that did ask subjects to perform a specific type of grasp (i.e., PG or WHG), related to the size of the to-be-grasped object, considered only non-visually-guided isometric grip tasks [16] [17] or did not report separate data for different types of grasp [16].

Firmani, Mecella, Scannapieco, and Batini in "On the Meaningfulness of 'BigData' Quality" present an overview of the many dimensions of data quality and discuss such dimensions in the context of big data and for different types of data sources.

Methodology concerning detailed data processing for different types of experiments has been discussed intensively in the literatures [34] [37].

Were results from the epidemiology data consistent for different types of exposure metrics (e.g., peak exposure, number of peak exposures ≥4.0 ppm, cumulative exposure)?

We averaged chemical concentrations in olive oil and canola oil because no separate categories were available in this data set for different types of oil.

This finding is robust under both pooled time-series and cross-section data estimation and panel data analysis and for different types of patent applications (invention, utility model, and external design).