Sentence examples for harmonized dataset from inspiring English sources

The coordinating center then developed the harmonized dataset in cooperation with the partners.

Researchers and modelers are able to use these tools to run an ensemble of models on a single, harmonized dataset.

Traditional mapping methods, which recognize that soil classes are "important carriers of soil information", were used to prepare an updated harmonized dataset of derived soil properties for the world at a nominal resolution of 30 by 30 arc sec (WISE30sec).

The resulting harmonized dataset can be seen in the OTN Hub, and moreover the same process was later repeated for the whole European Union for purposes of the Open Transport Map creation.

At this dedicated website, the reader can download the harmonized dataset and get the guide on how to use OTM as a web map or to embed it in a website (Fig. 6) (http://opentransportnet.eu/web/guest/pilsen-traffic-volumes).

This survey provides a harmonized dataset for a large number of countries on the availability of OJT at individual level (both at the extensive and intensive margins), as well as a wide array of individual-level demographics and job characteristics, including type of labor contract.

Carefully consider the pros and cons of creating harmonized datasets and of drawing direct comparisons between similarly labelled 'groups' in different countries.

For harmonizing datasets, it is recommended to consult a(n) (external) harmonization expert, who is familiar with Source and Target data structures.

ORCHIDEE-GM v2.2 is integrated over Europe using the harmonized climate dataset from the ERA-WATCH reanalysis at a spatial resolution of 0.25° by 0.25° for the period 1901 2010 [49].

Once early discussions of variables to be paired and harmonized between datasets had begun in the xTEND project, the development of automated tools for the generation of scripts applying discussed variable pairing and harmonization rules was undertaken so that these rules were applied in a consistent fashion that could be audited.

When merging two (or more) datasets into one common target dataset, we need to ensure that data from heterogeneous sources can be used in combination to view, query and analyse, or in short: we need to harmonize the datasets.