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For the GCM exercise, data were generated over three participant stages as described by Kane and Trochim (2007) [9]: 1) "Concept Generation", 2) "Sorting" and, 3) "Rating" (a fourth stage, "Mapping," is the analysis stage).
Paired-end sequencing data were generated over 2x50 sequencing cycles.
Data were generated over a total of seven sequencing runs.
Distributions of these data were generated over defined regions, and the normalized variance of the maximum aligned collagen fraction was determined.
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Extraordinary amounts of human experiential data are generated over the course of any clinical trial, however, much of these data is never made publicly accessible.
Thinking of the CSHs as momentary forces of transition which move along the arrows in Figure 1 suggests that competing risks data are generated over the course of time as follows: 1.
Data were generated in two modules over a 9-month period in 2011/12 using institutional ethnography.
The above data were generated from HEK 293 cells that conditionally over-expressed human TRPM3.
Data were generated by whole-cell voltage-clamp in cells over-expressing TRPC5 (Tet +).
Daily gridded (0.5° × 0.5°) precipitation data from 1961 to 2014 were obtained from the China Meteorological Data Sharing Service System.1 These data were generated by interpolating the daily observations of over 2472 national-level weather recording stations into 0.5° regular grid based on the thin plate smooth spline method.
Synthetic data were generated under the assumption of constant rates of diagnosis over time and CD4+ cell count.
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