Sentence examples for datasets even though they from inspiring English sources

Results show that there are significant differences between the datasets, even though they were essentially all interpolated from almost the same climate databases.

The voidable characteristics in the INSPIRE context are 'those properties of a spatial object that may not be present in some spatial datasets, even though they may be present or applicable in the real world'.

In particular, this made it possible for us to perform BV diagnostics for patients using Nugent scoring for data in the Ravel et al. dataset, even though they did not report Nugent scoring explicitly.

According to Figure S2, the classification quality of the discriminatory model remained high and stable in both datasets, even though Dataset L was much smaller than Dataset M. Combining these performance data obtained by both the inter-dataset (Table S3) and intra-dataset (Figure S2) training and testing, the feasibility and robustness of the proposed DS detection methods was confirmed again.

Also compared with the Turkish review datasets, DFD is not as good as CHI2 and IG for the English review datasets, even though the performance is close for the kitchen reviews and generally better than OCFS.

For other datasets, even though the reference genome belongs to the same species, it was too divergent to use it for determining fine-grained assembly accuracy.

Association was observed in all three independent datasets, even though the analysis end points differed slightly between the data from different studies.

On the other hand, we also observed that QMC(All) will not run on some datasets even though QMC(Exp+TSQ) may run, and vice-versa.

This overlap demonstrates some degree of stability of bimodality in these datasets, even though we did not force identical tissue type quantities between the two organisms.

The differences with the results of Olson and Goodman [ 17] probably stem from the fact that we did not use the same phylogenetic methods and datasets, even though one of our markers was in common (vWF exon 28).

This overestimation decreases to roughly 1% with larger values of N (see Supplementary Table S2), suggesting that the accuracy of the model increases with larger datasets, even though the total occupancy may still be low.