Sentence examples for more representative datasets from inspiring English sources

Online, researchers can assemble large, diverse and potentially more representative datasets.

The results are therefore robust for this age group while for adult users, due to the sparsity of the data and a prevalence of inter-generational relationships, some conclusions need further confirmations from qualitative studies or from more representative datasets.

In particular, it might be necessary to collect larger and more representative datasets if one wants to detect cells with different sizes/shapes or in comparative studies involving animals with anatomical variations or disease models.

Our new and more representative dataset of 123 taxa covered for the first time all mollusk classes, but our analyses across the Mollusca resulted in short internal branches combined with single long branching clades.

All results should be interpreted cautiously given the limited ability to ascertain RD using claims data, and future research into RD should focus on developing and using more broadly representative datasets.

The main novelty of the paper consists in the optimization of the considered models by the appropriate identification of the minimum and more representative training dataset.

Combining commercial logging inventories with ecological plots will provide a more representative ground level dataset for the calibration of the models and remotely sensed data used to estimate AGB and aboveground carbon at regional and national scales.

Combining commercial logging inventories with ecological plots will provide a more representative ground level dataset for the calibration of the models and remotely sensed data used to EAGB at regional and national scales.

A tawa growth dataset more representative of the range of substrates occupied by tawa is needed for developing sustainable management plans elsewhere in the North Island.

A growth dataset more representative of the range of substrates occupied by tawa is needed for management plans elsewhere in the North Island.

In most of the cases, a small fraction of total examples in the training dataset were used to gather all the information required for generating the classification model, thus the original dataset is filtered to make more informative and representative dataset in terms of Support Vectors (SVs) of representative sequences.