Sentence examples for data were identified on from inspiring English sources

Reliable data were identified on clinically important outcomes related to weight and pregnancy by the Delphi survey.

For example, 91% of ischaemic stroke events recorded on either GP or linked mortality data are identified on the GP record compared with 99% of hip fractures.

Genes that were commonly selected between RNA-Seq and GeneChip data were identified based on sequence homology.

Outliers in the data were identified based on the residuals derived from the data of all environments and were removed from further analysis.

The ten most common genes in the genomic data were identified based on read counts, suggesting that genes which are covered by more reads may have more copies in the genome.

Recurrent themes emerging from raw data were identified and summarized on spread sheets.

Recurrent themes and sentences emerging from raw data were identified and summarized on spreadsheets for data management by the research team.

From these extracts, initial codes close to raw data were identified and grouped on a semantic level by the first author (UB).

Mobile traffic data were identified and obtained based on the mobile phone numbers only.

Extreme values and outliers for clinical and cost data were identified and their impact on the study outcome was explored.

Two clades supported by the molecular data were identified as potentially incorrect based on the reference phylogeny: a nectar-feeding clade consisting of Glossophaginae and Lonchophyllinae, and a clade defined by the position of Lonchorhina (Table 4, cf. Figs 2 and 5).