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.

Open-access paper:

Supplementary datafiles:

Analysis and visualisation:

1. Clone this repository and navigate to it, e.g.:

git clone https://github.com/hemmelig/2022GC010564
cd 2022GC010564

2. 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

3. Add 2022GC010564.mplstyle (a matplotlib stylesheet) to your mpl_configdir (usually found at ~/.config/matplotlib/stylelib or ~/.matplotlib/stylelib)

4. Optional: Install Helvetica font for Matplotlib

5. Move into the figures directory and run download_grd_datafiles.gmt script to download the DEM data used in Figure 1:

cd figures
bash download_grd_datafiles.gmt

6. Navigate to each figure directory and run the .gmt (as bash <script>.gmt) or .py (as python <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.