The phrase "a high quality dataset" is correct and usable in written English.
You can use it when referring to a dataset that is well-structured, accurate, and reliable for analysis or research purposes.
Example: "In order to achieve meaningful results, we need to ensure that we are working with a high quality dataset."
Alternatives: "a premium dataset" or "a top-notch dataset".
Thus with varied sources of data, especially when the exact details of the solubility methodology are not specified, assembling a high quality dataset for solubility prediction can be difficult.
Recognising the difficulties in measuring solubility coupled with its vital importance to drug design, its authors reported the solubility of 100 drug-like molecules, with a high quality dataset and consistently using the CheqSol method [6].
Additionally, the CiPCA database has been shown to be a high quality dataset [ 20].
It has been validated by several studies as a high quality dataset which accurately reflects a range of diagnoses [ 19, 20].
The ability to recapitulate the vast majority of known (literature-reported) interactions and to verify novel interactions by orthologous methods is indicative of a high quality dataset [ 54].
This filtering method underestimates the number of genes with alternative regions in 5'UTRs but yields a high quality dataset based upon the alignment of full-length mRNAs with protein and start codon annotations.
This is done through the combination of remote sensing information (e.g. LiDAR based Digital Elevation Model, satellite imagery), a high-quality dataset, and a quasi-2D hydrodynamic model.
The inception of performance monitoring and its evolution over time, techniques used to establish a high-quality dataset using engine model performance adaptation, and effects of computationally intelligent techniques on promoting the implementation of engine fault diagnosis are reviewed.
For the FMT method, it is necessary to know the appropriate stress field and to possess a high-quality dataset of focal mechanism solutions to estimate pore-fluid pressure fields correctly.
P2TF thus provides experimental biologists and bioinformaticians with a high-quality dataset for the investigation of prokaryotic TFs.
Naturally, the composed method requires a high-quality dataset of motions and the formulation of proper objective and constraints functions.
