Sentence examples for commonly available data from inspiring English sources
This case study suggests that preliminary PBPK models could be developed for numerous pesticides based on commonly available data.
After considering commonly available data sets, outputs from the point-scale model (HowLeaky2008) were coupled to a catchment scale framework (CatchMODS).
The proposed integrated approach was able to capture the dynamics of mass finishing process more accurately compared to that of other commonly available data analytical models.
The presented model indicates that the artificial neural network models illustrate promising in the estimation of monthly mean daily global solar radiation by using commonly available data.
The paper proposes a methodology based on commonly available data to assess the nature conservation value of agricultural landscapes, and to generate cartographic results to be used as decision variables in planning.
However, community level measurements of bioturbation across environmental variability are still scarce, and BPc is calculated using commonly available data on benthic community structure and the functional classification of invertebrates.
This is achieved by parsing and processing commonly available information from existing geographical data, census data, traffic data and vehicle fleet data.
Two new correlations were obtained based on 207 PVT samples through commonly available field data and compositional data.
New correlations were evaluated against 1840 commonly available field data points and 171 compositional data points from the global literature.
We found that the most commonly available monitoring data were permittee-reported livestock numbers and season-of-use data (71% of allotments) followed by repeat photo points (58%), estimates of forage utilization (52%), and, finally, quantitative vegetation measurements (37%).
We offer an analytic toolkit, called Via, which transforms commonly available enrollment data into formal graphs that are amenable to interactive visualizations and computational exploration.
