The phrase "a modest dataset" is correct and usable in written English.
It can be used when referring to a dataset that is relatively small in size or scope compared to others in a given context.
Example: "In our analysis, we found that a modest dataset was sufficient to draw meaningful conclusions about the trends."
Alternatives: "a small dataset" or "a limited dataset".
The limitations of our study are the modest dataset size and the fact that the study was not designed for the comprehensive detection of common CNVs.
However, even with this modest dataset, it was clear that existing bioinformatics tools have difficulties in correctly predicting the known DR-altering and DR-neutral nsSNVs.
Nevertheless, modest datasets, such as reported here, can be useful for identifying rare variants for further validation in follow-up studies.
The alternative strategy, and the one used in this study, is to use a modest multi-gene dataset combined with phylogenetic simulations to explore the predicted gain in support values as more (simulated) data are added to a study.
Our own study is a modest addition to the dataset of prospectively derived data and is supportive of earlier conclusions but it is still necessary to conduct larger randomized trials of DEX in AWS.
There was no association for higher birthweight in white women for the full dataset and a modest but statistically nonsignificant positive association for the restricted dataset.
A modest expenditure to produce two datasets from each genotype of interest could provide a sizeable cost savings in materials and labour by increasing the success rate of amplicon sequencing in search of polymorphisms.
One hallmark of these previous studies is that they all involved datasets of a modest size, none suitable for estimation of rhythms with periods on the order of tens of seconds [ 24].
As such, an initial dataset with only a modest number of missing markers is advisable when employing these methods.
Although our dataset shows only a modest size-dependent decrease in Cconv with overlapping 95%% confidence intervals, this difference is larger when comparing Cconv-sap with larger tropical wood C datasets (i.e. mean Cconv-large of 47.4 ± 0.33%% (S.E). in 59 Panamanian species studied by Martin and Thomas (2011)).
