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While acknowledging the limitations of the techniques applied, this study demonstrates in part the effectiveness of remote sensing as a tool for the production of baseline data for assessment and monitoring of land degradation in the Malilangwe catchment.
Besides, a shallow injection well named NWS-2 (Fig. 1b, PADs A, B and C) was drilled, in order to evaluate the subsurface geology and provide data for assessment and modelling the reservoir (Najafi and Ghobadian 2011; Porkhial et al. 2015).
While acknowledging the limitations of techniques used, this study demonstrates in part the effectiveness of sedimentation modelling and remote sensing as a tool for the production of baseline data for assessment and monitoring levels of land degradation in the Malilangwe reservoir catchment.
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The focus of this paper is to define and demonstrate quality control measures for real-time, spatio-temporal data from the perspective of an aggregator to provide tools for evaluation and comparison of overlapping, real-time, spatio-temporal data providers and for assessment and optimization of data acquisition, system operation and data redistribution.
These specimens, however, were not fully excavated and therefore provide inadequate data for assessment of clutch size and morphology.
Since some restoration programs have been undertaken at Honghe wetland, thus our results can provide valuable baseline data for assessment of the practicability and suitability of the former restoration plan and the further designing of conservation management and restoration targets.
These provided data for assessment of left ventricular (LV) systolic and diastolic dynamics, and for calculations of fractional circumferential shortening and wall thickening after measuring the endocardial circumferential length and myocardial wall thickness at end diastole and end systole.
For the raw mortality series: 71 sites had continuous data for assessment up to or beyond lag40 and 35% had autocorrelation through to lag40; and of 36 sites with continuous data for ≥ 72 months, all demonstrated marked seasonality.
Data for assessment of fatty streak formation, thrombotic and inflammatory plaque characteristics were expressed as incidence of carotid arteries containing lesions with these phenotypes, and the groups were compared using the Fisher's Exact test.
Unfortunately, there were limited data available for analysis of the change in oxygenation and insufficient data for assessment of ventilation characteristics.
The developed methodology and the presented outcomes demonstrate the potential of big data for policy assessment and better governance, focusing on the challenges and on the huge opportunities offered for future developments.
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