"based on small datasets" is a correct and usable phrase in written English.
You can use it when referring to a variety of scenarios, such as when talking about a study that is not comprehensive due to a lack of data. For example, "The researchers concluded that a particular trend is true, based on small datasets collected for their study."
Attempts have been made in previous studies to use infiltration experiments to identify the degree of preferential flow, but these attempts have often been based on small datasets or data collected from literature with differing initial and boundary conditions.
Novel techniques of multiple runs for model development and surrogate data analysis for model validation are suggested for prediction of biomedical outcomes based on small datasets for classification and regression tasks.
27 36 37 This probably reflects a combination of the inherent over-optimism of data-driven model predictions based on small datasets, 15 19 21 38– 40 failure to validate models and/or scores in an independent dataset, 15 19 and spectrum bias arising from the use of case control designs.
Although claims about changes in neural/synaptic populations must necessarily be made based on a limited sampling of neurons, I am concerned by the fact that the non-significant findings are based on smaller datasets than the reported significant finding.
Both studies were based on small morphological datasets with few characters, the phylogenetic utility of which has been questioned [ 10].
We find even less agreement among gold standards for physical interactions predictions, which are usually based on small interaction datasets obtained from protein-protein interaction databases such as the Database of Interacting Proteins (DIP)[ 29], the General Repository for Interaction Datasets (GRID [ 30], or the Biomolecular Interaction Network Database (BIND) [ 31].
Two migraine studies using a PRS based on small migraine GWAS datasets have already been performed.
This genome-scale estimate of relationships among species agrees with some prior estimates based on smaller molecular datasets [ 14, 15].
Its modeling function is solely based on small molecules and thus cannot be used to analyze other independent biomedical dataset.
The recognition motifs included in the SMART and Pfam databases are too restrictive, as the motifs have been created based on the small datasets available some years ago.
Based on our small dataset, we could show a large discrepancy between visual and quantitative analysis, yielding inconsistent results in up to 42.3%% of the inspected lesions.
