Sentence examples for datasets can be attributed from inspiring English sources

Small differences in fitted lifetimes between the visible and IR datasets can be attributed to differences in solvation (H2O in visible or D2O in IR) and lower signal-to-noise ratios at longer IR time delays.

For example, in the approach used by Wan et al. [ 21], the majority of the interactions identified for all seven WTCCC datasets can be attributed to LD effect, i.e., the interacting SNPs are within 1Mb of each other in the same genomic region.

This suggests that most of the differences in PISC between the USGS DRG and the Landsat-derived dataset can be attributed to decreases in PISC, as opposed to differences between mapping techniques.

On the other side, the younger age inferred for the mitochondrial dataset can be attributed to the faster accumulation of genetic variation, which yielded younger lineages that decreases the mean distance, leading to an underestimation of the age.

DNN model in [51] is the best-performing single model on both datasets, this can be attributed to the lack of training data and the stability of Constant Q-transform (CQT) [52] feature representations.

We show that the stability of FLFP in Georgia during the period 2003-2013 is due to a number of relevant – but offsetting – socio-economic changes taking place in the country, and that the increase in the last period covered by our dataset – 2013-2015 – can be attributed to the emergence of new labor opportunities for women.

This difference can be attributed to different methodology and datasets.

This is a result of the smaller set of predicted sites containing fewer false positive results and can be attributed to the small number of datasets tested.

Most probably, this inconsistence can be attributed to the drastic difference in the analyzed datasets.

Instead, the divergent estimates can be attributed to levels of homoplasy in the mtDNA and nuclear gene datasets that distort inferences at different time scales.

Much of the success of de novo genome assembly can be attributed to algorithmic optimizations that take advantage of the properties of single-genome datasets.