Sentence examples for data augmenting from inspiring English sources
For the large number of marine reserves lacking baseline data, augmenting the traditional Control-Impact reserve assessment with the seascape approach can improve reserve evaluation by controlling for influential aspects of seascape variability that affect target populations.
Beyond pocketable slabs, the future of smartphones looks likely to be becoming a layer sitting atop our lives, rather than being a box we break away to poke and stroke — existing most obviously as digital data augmenting and overlaying the real-world physical stuff we interact with on a day to day basis.
These data augment previous work demonstrating persistent changes in hippocampal plasticity as a result of exposure to PCBs during development.
This data, augmented by PIV and LDA data, is subjected to WT and EIM to get the eddy age and its energy distribution.
Genome-scale metabolic networks can now be reconstructed based on annotated genomic data augmented with biochemical and physiological information about the organism.
The validity of the research was enhanced by data triangulation, wherein quantitative psychometric data augmented the qualitative data that are traditionally used.
Introduction: We developed a computerized antimicrobial guidance program based on the last 5 years of our laboratory culture data augmented by expert infectious disease logic.
The Chandra data augmented by VLA radio imaging, optical spectroscopy with W. Herschel Telescope, and XMM-Newton data, allowed us to investigate the nuclear activities in the targets as well as the jet/cluster gas interactions.
The unique and wide-ranging study takes more than ten years' of often fragmented state higher education data, augmented by extensive interviews with state policymakers, and synthesizes a series of policy recommendations relevant to all states.
The IDF curves from this study are from data augmented through regional analysis, based on thorough procedures for selection of distributions and also include uncertainty bounds and hence are more reliable than the existing one.
To this end, this paper proposes a statistical approach to long-term solar energy availability characterization based on analysis of historical insolation data, augmented by a normalization procedure implementing straightforward data set transformations.
