Sentence examples for datasets can be combined from inspiring English sources

The disaggregated datasets are not available - but you can download csvs of your query.

As with the combination of methods, the respective strengths of various relevant datasets can be combined to overcome the limitations of each single dataset and to derive more robust and reliable data.

The second is the ease with which two (or more) datasets can be combined to bring out secrets that are apparent in neither set on its own, and to identify individuals from data that appears to be entirely anonymised.

There will, undoubtedly, be concerns arising related to how these datasets can be combined with personally identifiable information to track not only our locations and activities, but our feelings and state.

As such data increases in availability, various datasets can be combined to produce a network with increasing sensitivity.

To test whether datasets can be combined, we performed partition homogeneity tests in PAUP with 10,000 replications.

In addition to providing an initial genome survey and contributing new polymorphic markers, the BES dataset can be combined with these next-generation reads in the final genome assembly to connect scaffolds together across large assembly gaps.

The likelihood ratio statistic for testing the hypothesis of no difference between two nested prognostic models from each imputed dataset can be combined using the inferences for likelihood ratio statistics (Table 2(D)), provided that the log-likelihood function can be fully specified, e.g. for fully parametric models such as the Weibull model.

For example, the variance estimation method using multiple datasets [ 16] can be combined with DB pruning algorithm.

We have identified four subsets of this B2H PPI dataset that are more reliable, which can be combined into a single dataset, which can serve as a suitable reference H37Rv physical interaction dataset for many applications.

In this article we investigate if qualitative soil fertility datasets derived during participatory processes can be combined with a corresponding land use change model (i) to improve the understanding of the social-ecological complexity of land use change and (ii) to allow testing of alternative scenarios even in data-poor environments.