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ORCA Marine was commissioned by Historic Scotland to work with the Royal Commission on the Ancient and Historical Monuments of Scotland in interrogating marine data sets to enhance historic environment records of Orkney Waters and the Pentland Firth.
However, it is practically impossible to account for the anomalies of neighbouring countries, and therefore the long wavelengths of a merged grid of several aeromagnetic and marine data sets are necessarily wrong.
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The marine data set was combined to mainland stratigraphy, derived from coastal boreholes and geological maps, to achieve a land sea correspondence of main morpho-structural and stratigraphical features.
For example, the data set with the highest preference order is the marine data set (index =11), not because of its quality but simply because marine data are given at sea level, whereas other data compilations are upwardly continued to 5-km altitude.
A brief description of the theoretical background of the stochastic wave theory needed to analyze ocean wave fields from marine radar data sets is presented first.
Using a marine algae data set, we show that quantification of fragment ions extracted with a customized MS/MS library can provide as reliable quantitative data as the direct quantification of precursor ions based on MS1 data.
To estimate the abundance and distribution of marine vSAGs, we performed a comprehensive fragment recruitment using different marine metagenome and virome data sets from the Tara Oceans expedition3, Pacific Ocean Virome23, the Sargasso Sea24 besides those generated in this study from the Mediterranean Sea.
The model was designed to facilitate merging satellite, airborne, marine and terrestrial magnetic data sets recorded at very different epochs in the Antarctic where significant annual geomagnetic changes have occurred.
And without hard data sets, marine ecologists must rely on fuzzy terms such as "degraded" or "severe".
The result of matching data sets of marine and terrestrial diversity against temperature estimates shows that global biodiversity is relatively low during warm "greenhouse" phases and that extinctions were relatively high, whereas the reverse is true in cooler "icehouse" phases.
Networks can greatly advance data sharing attitudes by providing organized and useful data sets on marine biodiversity in a friendly and shared scientific environment.
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Justyna Jupowicz-Kozak
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