The phrase "a reference dataset of" is correct and usable in written English.
It can be used when discussing a collection of data that serves as a standard or benchmark for comparison or analysis.
Example: "The researchers compiled a reference dataset of various species to study their genetic diversity."
Alternatives: "a benchmark dataset of" or "a standard dataset of".
In this work we first obtain a reference dataset of substantial size and quality.
Yet, we lack today a reference dataset of vehicular mobility scenarios that are realistic, publicly available, heterogeneous, and that can be used for networking simulations straightaway.
Figure 2 Histogram plots comparing the calculated physicochemical properties of a reference dataset of compounds with known subcellular localization features (top row) in relation to the library of 1,344 styryl molecules analyzed in this study (bottom row).
Diversity with respect to quantitative properties was assessed by comparing histograms for each property between the styryl compounds and a reference dataset of hundreds of chemical agents with published subcellular localization features, compiled from a literature-based review surveying the organelle-targeting properties of small, drug-like molecules [30 32].
We explored these environmental sequences in the light of a reference dataset of 31 fully identified earth tongue fungi in a phylogenetic context.
We developed an online resource, ExprTargetDB (http://www.scandb.org/apps/microrna/) to: 1) enable user-friendly queries of a comprehensive catalogue of miRNA targets using this integrative approach; 2) provide a reference dataset of miRNA-mRNA relationships on the HapMap samples and; 3) advance our understanding of gene regulatory networks and of the contribution of miRNAs to complex traits.
The miRNA-mRNA associations generated from our HapMap LCL [6], [7] data are genome-wide, facilitate a comparative analysis, and may serve as a reference dataset on the regulatory effects of miRNAs.
Our methodology for measuring connectivity implements a novel framework, TBR (Schultz et al., 2014), which applies an a priori network parcellation from a reference dataset to the dataset of interest.
We performed an initial set of experiments to establish a reference dataset for the quantification of colony development.
The aim of the present report is to provide the earthworm research community with a reference dataset for future analyses of soft-bodied organisms based on non-destructive imaging techniques.
In particular, raw microarray data (Affymetrix.CEL files) were obtained for a total of 24 samples from 8 different cell types of all myelopoietic lineages, representing a reference dataset for a comprehensive analysis of genomic expression during cell differentiation.
