Data related to the paper "Pulsational pair-instability supernovae in
gravitational-wave and electromagnetic transients" by Hendriks et al 2023
https://doi.org/10.1093/mnras/stad2857.

Below is an explanation of the contents of this repository:
- `EVENTS_V2.2.2_SEMI_HIGH_RES*.tar.gz: main PPISN prescription variation
  simulation results for the GW mergers. These contain configurations for the
  populations and the convolved merger results which in turn contain merger
  rates, merger properties and events that preceded the mergers
  (RLOF episodes, SNe). These results are used in figures 2, 3, 6, and 7.
  Figure 8 uses the SFR used in one of these simulations. 
- `EVENTS_V2.2.2_MID_RES*.tar.gz`: PPISNe prescription variation results for
  the transient rate evolution. These contain configurations for the
  populations and the convolved merger results which in turn contain merger
  rates, merger properties and events that preceded the mergers
  (RLOF episodes, SNe). These results are used in figure 4.
- `grid_single_mass_metallicity_data.tar.gz`: data containing single-star
  remnant-mass data as a function of initial mass vs. final mass for our
  fiducial model and three variations: Farmer 2019 PPISN prescription,
  M_extra_ppisn_ML=10 Msun (i.e. where 10 solarmass of additional mass loss
  occur for each PPISN), M_co_shift_ppisn=-5 Msun (i.e. the CO core mass
  range that undergoes PPISN is shifted to lower masses by 5 solarmass). This
  data is used in figure 5.
- `schematic_overview_data.tar.gz`: data containing single-star remnant-mass
  data as a function of pre-SN core mass for our fiducial models and several
  variations: Farmer 2019 PPISN prescription, M_extra_ppisn_ML = 5 Msun,
  M_co_shift_ppisn=-5 Msun, M_co_shift_ppisn=+5 Msun. This data is used in
  figure 1. 
- `paper_ppisne_scripts-main.tar.gz`: the git-repository that contains the routines to
  generate the figures. The readme in this script should contain enough
  information, but to relevant to the data here: the user needs to store the
  files contained in this zenodo repository in a directory that they point to
  at with an environment variable called
  `paper_PPISNe_Hendriks2023_data_dir`. These scripts are also hosted on
  https://gitlab.com/dhendriks/paper_ppisne_scripts