Sentence examples for data can be related from inspiring English sources

Geographic and temporal divisions apparent in the genetic data can be related to ecological change, human impacts, and possible landscape mosaics in Beringia.

This semantic meaning has several purposes: it forms the basis for a shared vocabulary, enables data to be understood, so that different data can be related to each other, even if those data are in different formats using different languages, and It enables the efficient reuse of knowledge.

Our data can be related to clinical studies, which concluded that the development of chronic CH is much less frequent in older than in younger patients [35, 36], if we consider that a lower inter-bout plasma PACAP-38 concentration can be a triggering factor of attacks.

For 2002 and 2003, magisterial districts (of which there were 367 nationally) are the smallest geographical units to which data can be related.

Third, critically looking at the summary statistics can help the reader to detect some lack of variability in the data, which can be related to data smoothing for instance.

The lack of degree/abundance correlations in Y2H PPI data sets can be related to the findings of Zhang et al. [58], who show that interactions in the Y2H data of Ito et al. [7] are more likely to be biologically functional (i.e., independently reported in two or more publications using non-Y2H techniques) if the participating proteins have relatively high in vivo abundances [58].

The numerical model used in this study confirms the findings from the experiments and gives a frequency range which, if excited can provide data which can be related to effective total bolt length.

The area used has also been the focus of a multi-disciplinary and long-term archaeological survey (Raunds Area Project) and so has a wealth of archaeological and historical data which can be related to the environmental record.

All variables in a data set can be related to each other without differentiation between descriptive and explanatory variables.

Heterogeneous data sets can be related to each other by joining or merging based on common keys.

SaTScan's purpose is to identify anomalous clusters of data that can be related to disease that is, aggregations that are statistically distinct from the regular variations of health information that are being assembled from day to day in a particular area.