This README.txt file was generated on Oct 17, 2022 by M. J. Rucks GENERAL INFORMATION 1. Title of Dataset: "Shock compression of fluorapatite to 120 GPa: Wave Profile Data" 2. Author Information A. Principal Investigator Contact Information Name: Melinda J. Rucks Institution: Princeton University Email: mrucks@princeton.edu B. Associate or Co-investigator Contact Information Name: Tom S. Duffy Institution: Princeton University Email: duffy@princeton.edu 3. Date of data collection: January 2020 - October 2021 4. Geographic location of data collection: Institute for Shock Physics at Washington State University 5. Information about funding sources that supported the collection of the data: This work was supported by the Department of Energy/National Nuclear Security Agency under Cooperative Agreement DE-NA0003957. SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: This work is licensed under CC BY 4.0 2. Links to publications that cite or use the data: N/A 3. Links to other publicly accessible locations of the data: N/A 4. Links/relationships to ancillary data sets: N/A 5. Recommended citation for this dataset: Rucks, M. J., Winey, J. M., Toyoda, T., Gupta, Y. M., & Duffy, T. S. (2022). Shock compression of fluorapatite to 120 GPa: Wave Profile Data. Princeton University. Please also cite the accompanying paper. Rucks, M. J., Winey, J. M., Toyoda, T., Gupta, Y. M., & Duffy, T. S. (in review). Shock compression of fluorapatite to 120 GPa Submitted to Journal of Geophysical Research: Planets DATA & FILE OVERVIEW 1. File list: Wave_profile_data.csv csv file containing time and velocity data for all experiments discussed in the accompanying paper: Row 1 includes the run number and the peak stress acheived, which will match Table 1 provided in the accompanying paper. Columns below this point will include time in microseconds, and velocity in mm/microseconds METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Wave profiles were collected during plate-impact experiments using VISAR and PDV techniques