Sentence examples for datasets the range of from inspiring English sources

For both the 'identical' and the 'common' datasets, the range of EC scores lies in the interval 0·4 to 0·5.

In this dataset, the range of valid pitches is [fmin = 38 Hz, fmax = 2100 Hz], and the maximum polyphony is P = 6.

Many of these datasets are Wales-wide (approximately 3 million population) and further discussions are underway to expand the databank in types of dataset, the range of organisations providing data and increased geographical coverage.

The challenge will be to extend this kind of mapping to include imaging datasets from the range of platforms considered here (e.g. HREM, OPT, μCT).

We simulated 20 times 100 datasets over the range of the number of immigrants per generation, N e m between 4 and 40 and report the 95% confidence intervals.

While in the past decade there has been extensive research on sequence family clustering for handling datasets in the range of hundreds of thousand entries (e.g. Li and Godzik, 2006), there has been very limited development of methods for clustering the much larger sequence volumes from NGS experiments with hundreds of millions of entries.

The overall mean absolute percent error is around 12.7% for the best multiphase flow correlation in the entire dataset, while the range of errors for the best correlation(s) in different data sub-clusters is from 0.01 to 3% for most cases with accurate PVT.   2.

We were not able to independently validate the income dataset, although the range of Gini coefficients was plausible in comparison with previous research and consistent with a 'threshold' effect of income inequality on health at Gini coefficients above 0.3.

To better emphasize these results, we added a new figure displaying more clearly how the curated VirSorter dataset expands the range of known viruses, and re-organizing the manuscript so that the first three subparts of Results section are now entirely dedicated to the exploration of this new diversity (subsection "New viruses detected in public microbial genomic datasets with VirSorter").

Results showed that the obtained average absolute error of both the MLR and the MNR model for all the datasets were within the range of experimental error of flash point measurements.

The result is shown in Figure 2. From the figure, we can see that the absolute running time of our ILPEF approach for the randomly generated datasets is in the range of 50 to 1800 seconds, which is comparable to the running time of Klau's ILP approach [ 9].