Sentence examples for using a large data from inspiring English sources

Native American population history is reexamined using a large data set of pre-Columbian mitochondrial genomes.

In this study, we report the results of high-resolution travel-time tomography using a large data set obtained by a dense seismic network.

The model has been validated using a large data base and it is continuously improved taking into account experimental evidence (Bilitza, 2001; Bilitza and Reinisch, 2008).

The relationship was assessed using a large data set collected over a period of six months at two road sites in Brisbane.

In order to address some of these issues, in the present work, the duration of mesospheric echoes are studied for the first time using a large data base from the Indian MST radar located at the tropical station, Gadanki.

In this study, we applied geometric morphometrics to dense surface data to quantify and characterize the shape differences using a large data set from two recent 3D anthropometric surveys, one in North America and Europe, and one in China.

As noticed in Goodman and Sianesi (2005) the distinction between OLS and PSM can be quite a fine one, and it is possible that using a large data-set, as with LSYPE, we have partially overcome the issue of common support.

Truhlik et al. (2009a) using a large data-base comprising of almost all available satellite data established latitudinal empirical profiles of the electron temperature for three levels of solar activity (high, medium and low), three seasons (summer, winter and equinox), five altitude ranges (350, 550, 850, 1400, and 2000 km) and two local times (day and night).

More robust analytical techniques could test the research model using a larger data set to deliver more comprehensive results.

We have performed a similar analysis using a larger data set (0.5% of register data for Denmark and the Continuous Family Expenditure Survey for Spain) and the results are very similar to those found with the ECHP.

The ANNs produced strong and significant relationships between predicted and actual measures of basal area using a jackknife method (r=0.79, p<0.01) and when using a larger data set (r=0.82, p<0.01).