Sentence examples for data quality and availability from inspiring English sources

This alternative formulation remedies the known systematic underestimations in the classical rating curve and correctly resists the degradation in data quality and availability, as shown in a series of problematic though realistic cases.

In spite of the uncertainties of the results caused by limited data quality and availability, the present study provided novel information about building SSDs for distinguished ENMs and contributes to the further development of SSDs for metal-based ENMs.

It discusses methodologies to estimate the social costs of transport for all modes, focussing on practical experience with applying advanced methodological approaches both in the light of data quality and availability, and regarding the feasibility of conducting this type of research on a routine basis for transport policy.

We aknowledge that French Guiana is a special case in the tropics in regards to data quality and availability.

The vegetation change tracker (VCT) is an automated algorithm that implements a disturbance index (DI, [46]) to reconstruct the history of the landscape disturbance on an annual or bi-annual basis (depending on data quality and availability) using Landsat 30 m time-series analysis [47].

These differences in data quality and availability create a challenge in forming global strategies to deal with invasions [8].

International exposure monitoring standards and activities would improve data availability, strengthen data quality, and improve comparability.

However, the problem of urban morphological data harmonization, quality, and availability are well-known, especially in developing countries.

The course is designed to be primarily used in universities, as it is important that future generations of nutritionists, food scientists, dieticians, chemists analysing food components, food composition data compilers, health professionals and agronomists appreciate food composition data and use them adequately in their respective fields to improve data quality, availability and usage worldwide.

The underlying evaluation matrix of land uses (step i; Lorz et al. 2012b) and the procedure to produce EP maps (step ii) are subject to uncertainty and depend heavily on data quality, data availability, and resolution.

We take particular care to address challenges related to data quality, availability, and scalability in dynamic databases.