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For an overview of the country-based SSS data see Table 1.
These are monthly composites of the swath SSS data for the 2010 2013 period at a resolution of 0.25°×0.25°.
Sea surface salinity (SSS) variability associated with the Congo River discharge is examined using Aquarius satellite-retrieved SSS data and vertical profiles of salinity measured by the Argo floats.
The Congo River plume can be clearly identified in the Aquarius SSS data with a northwestward extension of 500 1000 km off the coast of the Democratic Republic of Congo (DRC).
40562_2014_17_MOESM1_ESM.png Additional file 1 Statistical comparison between spatially co-localized SMOS monthly averaged SSS data and in situ Argo SSS (delayed mode) observations along (a) 110°W, (b) 120°W, (c) 130°W and (d) 140°W.
In the end, we were able to find data in the form of country-based SSS data for the main ports in 25 countries in Europe and this is the market segment division that we use for our quantitative analysis (http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=mar_sg_am_cwk&lang=en).
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It covers the process of taking into account the various needs at different levels of hospitals, discusses the stages of developing the system, and highlights the characteristics of ED-SSS data collected during the first year.
Although the ED-SSS data started transferring on March 10 , 2004 we confined our analysis to data collected between April 1, 2004 (when the data became more stabilized) and March 31 , 2005
To understand the epidemiological characteristics of the eleven important syndrome groups and asthma syndrome in ED-SSS, data of their daily and weekly counts were plotted and shown in Figure 4 and 5, respectively.
Using those trends in coma/death and other syndrome groups of clinical severity or unexpected symptoms/signs, our ED-SSS data have provided directions for further research in the areas of pathogen detection, epidemiological clues, and improvement in public health policies.
To increase the sensitivity of this ED-SSS in monitoring regional patterns of these 11 syndrome groups, we categorized ED-SSS data by four different geographical areas (northern, central, southern and eastern Taiwan), based on major regional variations in the types of infectious diseases.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com