This README.txt file was generated on 2024-09-19 by Galina Avdeeva GENERAL INFORMATION 1. Title of Dataset: Data for figures in the paper "Accuracy of kinetic equilibrium reconstruction of NSTX and NSTX-U plasmas and its impact on the transport and stability analysis", Plasma Physics and Controlled Fusion 2024 2. Author Information A. Principal Investigator Contact Information Name: Galina Avdeeva ORCID: 0000-0001-7072-7967 Institution: General Atomics Email: avdeevag@fusion.gat.com B. Associate or Co-investigator Contact Information Name: ORCID: Institution: Email: C. Alternate Contact Information Name: ORCID: Institution: Email: 3. Date of data collection (single date, range, approximate date): 2023-2024 4. (Optional) Geographic location of data collection : National Spherical Torus eXperiment-Upgrade (NSTX-U), Princeton, NJ, USA General Atomics, San Diego, CA 5. Information about funding sources that supported the collection of the data: * U.S. Department of Energy, DE-SC0021113 and DEAC02-09CH11466. SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: 2. Links to publications that cite or use the data: https://doi.org/10.1088/1361-6587/ad788a 3. Links to other publicly accessible locations of the data: 4. Links/relationships to ancillary data sets: 5. Was data derived from another source? yes/no A. If yes, list source(s): 6. Recommended citation for this dataset: (copy and paste from the Princeton Data Commons Describe record) https://datacommons.princeton.edu/discovery/catalog/doi-10-34770-s6re-1430 DATA & FILE OVERVIEW 1. File List: The name of each file refers to a particular figure, or subfigure or the line on the plot with corresponding legend. Each variable is mentioned in the '#commented lines' 2. Relationship between files, if important: 3. Variable List: 4. Specialized formats of data Data for Fig. 4, 21, 29, 30, 34 is in the format of g-files, standard output for the EFIT code. METHODOLOGICAL INFORMATION (Optional - delete if not including) 1. Description of methods used for collection/generation of data: Data has been collected and processed using the OMFIT integrated modeling framework as described in the paper.