--------------------------------------------- # Data and Code for "Rock glacier composition and structure from radio wave speed analysis with dipping reflector correction" Preferred citation (DataCite format): Meng, Tyler; Petersen, Eric; Holt, John W. (2022). Data and Code for "Rock glacier composition and structure from radio wave speed analysis with dipping reflector correction". University of Arizona Research Data Repository. Dataset. https://doi.org/10.25422/azu.data.19495178 Corresponding Author: Tyler Meng, Lunar and Planetary Laboratory, tmeng@email.arizona.edu License: CC BY 4.0 DOI: https://doi.org/10.25422/azu.data.19495178 --------------------------------------------- ## Summary This is the supplementary dataset for the manuscript titled _Rock glacier composition and structure from radio wave speed analysis with dipping reflector correction_ , which is being submitted to the Journal of Glaciology. **** This dataset contains image files of the ground-penetrating radar sections collected at our study sites, comma-separated interpretation files containing our picks for the radar reflectors, shapefiles of these picks for mapping, MATLAB code used to analyze the radio wave speed and volumetric ice fraction from these measurements, and image files of the figures presented in the main text and supplementary pdf document. The intention for this dataset is to publicly release all of the data and methods that we used so that our results may be reviewed and reproduced, if needed. --------------------------------------------- ## Files and Folders Directory description. - Radargrams: Image files of uninterpreted radargrams. Organized by location and year. File name corresponds with line number from the dataset of each respective year. CMP configurations are indicated in the file name. Each radargram was processed by subtracting the average background noise, migrating the data, and depth corrected using the wave speed measured at the nearest common midpoint profile. Gain was applied to emphasize the interpreted subsurface reflectors. - Pick: CSV files generated from Sensors & Software EkkoProject. Also organized by location and year. Naming convention: 'b' indicates "base", 'd' indicates debris, and the number indicates the line number within each year's dataset. If the interpretation is a common midpoint horizon, it is indicated in the file name. - Code: MATLAB scripts used to analyze the GPR interpretations and generate figures. - Figures: Image files of main text figures and supplementary figures. Captions included in text file. - Docs: PDF files containing the proof of the final accepted manuscript submission and the associated supplementary materials document. Additional README files specific to each data type can be found in its respective directory. --------------------------------------------- ## Materials & Methods - These data were produced using a Sensors & Software PulseEKKO ground-penetrating radar system at four different debris-covered glaciers. - The data was processed using Sensors & Software EKKO Project software and MATLAB scripts included in this repository. - Maps, shapefiles, and spatial analyses were produced using QGIS (open source).