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Discover LudwigThe phrase "a dataset may be" is correct and usable in written English.
It can be used when discussing the characteristics, types, or potential uses of a dataset in various contexts, such as data analysis or research.
Example: "A dataset may be structured or unstructured, depending on how the data is organized."
Alternatives: "a dataset can be" or "a dataset might be".
Exact(3)
For example, a dataset may be supplied on a monthly basis.
A dataset may be suitable for some purposes, but not for others.
If a dataset may be updated in the future for example, in cancer studies where follow-up is continued over many years it could be given a version number or date.
Similar(57)
We are concerned that comparative analyses based on such a heterogeneous dataset may be strongly biased.
The current growth curves generated from a national dataset may be included for establishing WHO global database on children's growth.
A video tutorial on www.gene-talk.de illustrates how an exome dataset may be analyzed in GeneTalk: In a few easy steps, the variant data of a simulated patient with hyperphosphatasia with mental retardation syndrome are filtered down to the disease-causing mutation.
The WRKY EST abundance in an EST dataset may be affected by the number of WRKY genes in the species and by the expression levels of WRKY genes in the cells from which ESTs were obtained.
A cross-validated dataset may be the most robust estimate available, compensating for underreporting to both datasets by including all deaths registered in any of the two.
Although such procedures may be used to control the number of false positives that are detected, they are often at the expense of the power of an experiment to detect truly differentially expressed (DE) genes, particularly as the number of genes in a typical HTS dataset may be in the thousands or tens of thousands.
The environmental barcodes in this dataset may be a small fraction of the real diversity of the environments they represent, since none seemed to be sampled exhaustively.
Thus, this dataset may be a powerful tool for genomic predictions of stripe rust resistance.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com