Data and code to accompany:
Bacon, C. A., Rawlinson, N., Pilia, S., Gilligan, A., Wehner, D., Cornwell, D. G., & Tongkul, F. (2022). The signature of lithospheric anisotropy at post-subduction continental margins: New insight from XKS splitting analysis in northern Borneo. Geochemistry, Geophysics, Geosystems, 23, e2022GC010564.
- Clone this repository and navigate to it, e.g.:
git clone https://github.com/hemmelig/2022GC010564
cd 2022GC010564
- Install the packages listed in the environment.yml file—either manually, or using (for example) conda—then activate the new environment:
conda env create
conda activate Bacon2022_2022GC010564
-
Add
2022GC010564.mplstyle(a matplotlib stylesheet) to yourmpl_configdir(usually found at~/.config/matplotlib/stylelibor~/.matplotlib/stylelib) -
Optional: Install Helvetica font for Matplotlib
-
Move into the
figuresdirectory and rundownload_grd_datafiles.gmtscript to download the DEM data used in Figure 1:
cd figures
bash download_grd_datafiles.gmt
- Navigate to each figure directory and run the
.gmt(asbash <script>.gmt) or.py(aspython <script>.py) scripts.
These figures were prepared using Linux 20.04. A limited number were produced using Affinity Designer for iPad, a licensed piece of software for graphic design. .afdesign files are provided.
For Supplementary Figure S6, you will need AnisotroPy, an open-source package for the analysis of seismic anisotropy. This can be downloaded from GitHub at https://github.com/hemmelig/AnisotroPy, where you will also find instructions on how to install the package.