Sentence examples for datasets is often a from inspiring English sources

Exact(1)

The validity of 3D primitives in 3D GIS datasets is often a prerequisite for using them in simulation and decision-making software, e.g. visibility analysis, noise pollution assessment, and energy estimation.

Similar(59)

The translationally controlled tumor protein (TCTP) found in all tardigrada datasets is often designated as a stress-related protein because of its highly regulated expression in stress conditions and its close relation to a family of small chaperone proteins [ 76].

The accuracy of these datasets is often unknown and is non-uniform within each dataset.

However, accurate information on the benefits and deficits of these datasets is often lacking, especially in the West African subcontinent.

As highlighted by Biljecki et al. [5], in practice the quality of available 3D datasets is often poor: they contain geometric and topological errors, e.g. duplicate vertices, missing surfaces, self-intersecting volumes, etc. Often these errors are not visible at the scale the datasets are visualised [18], and, as a consequence, practitioners are not aware of the problem.

Within the UK itself, the analysis of bulk communications data or bulk personal datasets is often the only way for the security and intelligence agencies to progress investigations and identify terrorists from very limited lead intelligence, or when their communications have been deliberately concealed.

In BDA research, attention to validity and reliability is required because the scale of the datasets is often huge, the variety of data types is high, and the model is built after the data has already been collected and because overlooking data validity and reliability issues would risk ending up with contaminated analytics and hence interpretations.

In many experimental pipelines and workflows related to genomics, proteomics and other "omics" disciplines, the clustering and visualization of large multidimensional datasets is often used to identify and investigate similarities among data elements before further tests and analysis are carried out.

The ability to handle very large datasets is often limited in visualization software.

From our experience with multiple datasets, is often around the 95.5th quantile of.

Generating such datasets is often tedious and introduces subjectivity and interindividual and intraindividual variations.

Show more...

Ludwig, your English writing platform

Write better and faster with AI suggestions while staying true to your unique style.

Student

Used by millions of students, scientific researchers, professional translators and editors from all over the world!

MitStanfordHarvardAustralian Nationa UniversityNanyangOxford

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 quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

Get started for free

Unlock your writing potential with Ludwig

Letters

Most frequent sentences: