Sentence examples for data processing consists of from inspiring English sources
Data processing consists of using calibration information to convert instrument values to engineering units and then using specific formulae to produce the geophysical data such as calibration coefficients are used to convert voltages collected in the different channels of a conductivity temperature depth (CTD) to temperature, pressure, and salinity.
The data processing consists of feature extraction and classification.
The basic data processing consists of a splicing-aware alignment using Tophat2 [ 12] followed by reference-guided transcriptome reassembly with Cufflinks2 [ 19].
Data processing consists of four steps: (i) cDNA bands in lanes corresponding to samples treated with the same primer combination are matched in order to identify fragments originating from the same transcript, (ii) intensity of bands is determined by densitometry, (iii) densitometric values are normalized, and (iv) intensity ratio is calculated for each pair of corresponding bands.
The data processing consisted of office editing of questionnaires, data cleaning (validation and consistency checks), data entry and analysis using Microsoft Excel software.
LiDAR data processing consisted of several steps that ingested the LiDAR point cloud data and provided two major outputs: the digital terrain model (DTM) and the LiDAR-derived canopy structure metrics.
The NMRPipe processing package(18) was used to perform the initial steps of NMR data processing consisting of (i) data conversion, (ii) apozidation, (iii) zero-filling, (iv) Fourier transformation, (v) phase correction, and (optionally) (vi) polynomial baseline correction.
A first way to assess the quality of the data processing consists in comparing the topographic reconstruction achieved via estimation of the Z1 values for all pixels, with the topography obtained via contact mode measurements.
The general strategy for data processing consisted, as a first step, of reducing the extreme complexity and variability of the dataset by identifying more homogenous groups of plots.
