Sentence examples for datasets was calculated from inspiring English sources

Next, the coefficient of variation (CV) for the percentage of under processing based on 2 500 generated datasets was calculated and used as a criterion to determine that 100 was an acceptable minimum number of datasets to estimate a recommended thermal process (F110°C = 9.6 min) considering the reported variability of the parameters DT and No.

Then, log2 ratio between the mixed datasets was calculated.

Classification accuracy for each of these datasets was calculated.

Finally, coverage statistics for each sequence in both datasets was calculated using MosaikCoverage.

Subsequently the overlap of the two datasets was calculated using the database mentioned above.

To evaluate this overrepresentation, the deviation of the real dataset relative to the mean ± standard deviation of the 10 random datasets was calculated (Fig.  1d).

Significant differences between two datasets were calculated by applying a Welch's t-tests or Student's T-test depending on the homogeneity of variances.

Total uncertainty in Fcycle change for the three observational datasets is calculated as the root mean square of the method uncertainty and the data uncertainty in equation (1), which is consistent in the two types of uncertainty are normal.

Finally, the prediction values of the original water temperature datasets are calculated by the sum of the forecasting values of every sub-series.

Correlations between datasets were calculated by the Pearson product moment correlation coefficient in MATLAB.

Statistical significances of the correlations between datasets were calculated using Pearson's R values.