Sentence examples for modelled data for from inspiring English sources

Stride data were demonstrated by using the same type of modelled data for position in saddle and left/right turns.

Exposure assessment for this survey was based on modelled data for ground level exposure within the study area.

Figure 3 illustrates how the two data sources, which are empirical versus modelled data for index of adult mortality (45Q15) by sex and calendar year, compare to each other.

Many different methods for determining risk are currently used, including local or multi-regional protocols based on practical distillation of modelled data, for example, the Marsden Protocol 2 [ 14] to genetic evaluation of each patient by individual clinicians facilitated by tools such as the Manchester scoring system and/or computer-based algorithms such as BOADICEA [ 15].

The simulation modelled data acquisition for a dual-head SPECT camera with a FOV of 50.8×38.1 cm and low-energy high-resolution collimators (hole length 30 mm, and diameter 1.4 mm).

Uncertainties for individual analyses were obtained for each modelled data series by determining the standard deviation where multiple analyses were obtained for a single year of that series.

The reduced frequency MSEs include only modelled data and so are suitable for the experimental validation of the simulation.

The good temporal and spatial agreement between modelled and observed data gives confidence about the use of the modelled data in the study area for reconstructing a long-term soil moisture dataset with hourly temporal resolution (in accordance with the availability of hydrometeorological observations).

This reduction in node number was necessary due to the smaller number of points in the simulations (2,000) than the experiments (62,500); even so there was some overlap of the points within the circles of neighboring centers for the modelled data.

Since empirical research traditionally advances in its data accuracy and validity - in contrast - process-based models do not always provide comparable outputs, it is difficult to judge on the quality of modelled data, especially with the traditional criteria for assessing scientific outcomes [17].

Since empirical research traditionally advances in its data accuracy and validity - in contrast - process-based models do not always provide comparable outputs, it is difficult to judge on the quality of modelled data, especially with the traditional criteria for assessing scientific outcomes [ 17].