Your English writing platform
Discover LudwigExact(60)
We also recognized some temporal variations in the stacked data.
The changes that began in the medium, long, or dike stacked data moved to the short stacked data over time.
We focused primarily on the difference in the responses between the short stacked data and the other stacked data.
The responses in the medium, long, and dike stacked data to a deeper tensile crack source were larger than that in the short stacked data (Fig. 6b).
Nevertheless, a slight extensional step-like change was recognized in the medium stacked data, and slight extensional changes were also seen in the long and dike stacked data.
Therefore, we stacked data from three sets of baselines of similar length, short, medium, and long to produce short, medium, and long stacked data (Fig. 3a c, respectively).
The response to changes in a deeper spherical pressure source was larger in the medium, long, and dike stacked data than in the short stacked data, but the response to changes in a shallow source was larger in the short stacked data than it was in the other stacked data (Fig. 6a).
The purpose of this confirmation is to see the relative differences among each stacked data.
After stacking n times, the stacked data covered 11 n meters.
The stacked data show extensional changes around the beginning of September 2014 (Fig. 4b).
The basic principle of how SNR of the stacked data will be improved is described here.
Write better and faster with AI suggestions while staying true to your unique style.
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