Sentence examples for important data gaps from inspiring English sources

The report also exposes important data gaps, most notably in the Indian Ocean and in the severity of certain threats like climate change.

In the case of trees, important data gaps exist in key biodiverse areas, especially in the Central African tropics, with highly heterogenous sampling (Fig. 4, Inset 3).

Although the project has and will close important data gaps, more work is needed both with regards to the aforementioned target properties and other thermos-physical properties.

As for the first version of the WDMAM candidates (Hamoudi et al. 2007; Maus et al. 2007), three data sets of low resolution were added to fill the most important data gaps before constructing the final grid (See Getech data set − index = 46).

In this, the first of two research articles, we review the available data for Mato Grosso on deforestation, forest degradation, and forest carbon stocks to identify important data gaps and research needs to reduce source data uncertainties in historic forest carbon emissions estimates.

However, several important data gaps remain that limit our understanding of the epidemiology of H5N1 in humans.

Understory responses are mixed across all treatments, and the response of other ecological attributes (e.g., soil, wildlife, water, insects) to treatment post-wildfire represents an important data gap; we provide a detailed agenda for future research.

Ideally, a comparison of diagnostic accuracy, or misclassification rates, of small-for-gestational-age and large-for-gestational-age fetuses in relation to morbidity and mortality using different criteria is necessary to make recommendations and remains an important data gap.

We conclude that the combination of MIRS with sophisticated statistical prediction tools allows for a novel, rapid acquisition of SR and Q10 values across landscapes and thus to fill an important data gap in the validation of large scale carbon modeling.

Studies linking human exposures to health effects were the least available and represent an important data gap.

This remains an important data gap that can only be addressed by connecting information for mental health consumers within and across various datasets.