Sentence examples for used a representative dataset from inspiring English sources

The first stage of developing a national classification used a representative dataset of 1177 indigenous forest and shrubland plots established (2002 2007) on intersections of an 8 km × 8 km-grid superimposed on the areas mapped as shrubland or indigenous forest by the New Zealand Land Cover Database version 1, based on 1996/97 SPOT satellite imagery.

On the basis of those data we are going to analyse the long term changes in household structure between the 19th and 21st centuries, their basic (urban/rural and regional) variations and using a representative dataset of about 190 settlements around Budapest we try to explore the background of local differences.

This study uses a representative dataset of more than 500 vein samples from the Navachab gold deposit containing information on the gold concentration, structural orientation, vein thickness, alteration and host rock type to investigate small scale controls on the grade distribution in the veins in order to obtain a better understanding of the architecture of the Navachab ore bodies.

The empirical analysis in this paper uses a representative dataset of immigrants in the Greater Dublin Area, Ireland.

The potential time savings of using a representative dataset such as RP are clear, but how does this translate to how one might use the database for similarity searches?

We reanalyzed the phylogeny of CAD and CAD-like genes using a representative dataset including lycophyte and bryophyte sequences.

Our study makes an important contribution to these countries by using a nationally representative dataset to investigate factors associated with cognitive function in older adults.

To investigate factors predicting the quality of care received using a nationally representative dataset from Indonesia.

The index was developed using a large representative dataset of lake hypsographic characteristics from 152 lakes and man-made reservoirs.

To our knowledge, this is the first paper which uses a large representative dataset with information on both earnings and foreign status (i.e., Italian Labour Force Survey, LFS) to investigate earnings differentials and the role of human capital (both education and work experience) at the national level.

Using a nationally representative dataset, we estimate yearly and lifetime medical and indirect costs of type 1 diabetes by implementing a matching method to compare a patient with type 1 diabetes to a similar individual without the disease.