Sentence examples for develop a dataset from inspiring English sources

The phrase 'develop a dataset' is correct and usable in written English.
You can use it when talking about ways to organize, compile, and analyze data. An example sentence may be: "The research team developed a dataset of survey responses to gain more insights into customer behavior."

Exact(5)

Using spatially referenced data from recent Kenyan Demographic and Health Survey datasets, price data, livelihood information, and a remotely sensed-based measure of local growing season productivity, we develop a dataset linking pregnancies occurring from 2001 to 2008 to the spatially and temporally relevant maize price data.

For instance, standard methods for content analysis of media were used to code and develop a dataset from the video tape [ 17].

Our objective is to develop a dataset where, as much as possible, the only factor that influences flexibility is the binding of the ligand in question.

The objective was to develop a dataset for the Pacific Islands on nutrient composition of processed foods sold and their sources.

Here, we described how a successful collaboration between Pfizer safety scientists and the biocuration staff at CTD resulted in the text mining and manual review of over 88 000 scientific articles to develop a dataset of drug-induced adverse events skewed toward cardiovascular, neurological, renal and hepatic toxicity.

Similar(55)

A quantitative study that develops a dataset capable of including funding from disease organisations and industry as well as CIHR, would paint a more comprehensive picture of where clinician-scientists obtain their support.

The U.S. EPA Office of Research and Development is developing a dataset of BSAF values from Superfund remedial investigations.

We have developed a dataset of protein-RNA complexes from different organisms with high sequence identity and identified the binding sites.

More specifically, we develop a comparative dataset of 522 renewable energy policies in nine OECD countries.

We develop a realistic dataset from the auto industry gleaned from publicly available sources to highlight key results of the model.

We develop a comprehensive dataset of annotated MoRFs to build and empirically compare our method.

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