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Some Japanese experts speculate that the ships are mapping the offshore sea bottom, data of great value to the military.
Using this data selection criteria, we show in Figure 1 the temporal distribution of scalar (top) and vector (bottom) data used for the modeling.
Fig. 5 Lattice angles determined by PPSD analysis for the rigid-aligned data (top), and the row-locked (middle) and row-fitted (bottom) data.
To further illuminate the behavior of each method, we consider a large set of sampling instances and present the averaged recovery performance as a function of the sampling rate in Fig. 4 for Intel-Berkeley (top) and SensorScope (bottom) data.
A slightly larger fraction of limited-use areas had fires (Fig. 5, bottom data series).
Both antibodies stained bands of cortactin's expected size and anti-cortactin staining showed equal protein loading (Fig. 4B); with the anti-phospho-cortactin antibody, however, cortactin was stained nearly three-times more strongly in extracts of agrin-treated myotubes than of control myotubes (Fig. 4B, bottom; data from three experiments).
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We therefore displayed bottom material data by using color gradations on the map.
There are no bottom material data for the gaps between the circles.
The bottom pressure data are continuously recorded at a sampling interval of at least 15 min.
From the bottom sample data, an average dilution factor of 5003.00 was calculated (Fig. 11).
Figure 1 Temporal distribution of scalar (top) and vector (bottom) satellite data used for IGRF 2015 modeling.
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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