Multi-Offset Synthetic GPR Data

<b>Overview</b>This repository contains the data and scripts related to the paper titled "A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms" The data set includes synthetic GPR data generated using gprMax, detailed descriptions of the acquisition geometry, and the required Conda environment for running the associated Jupyter notebooks.<br><b>Repository Contents</b><br>- <code>env.yml</code> Conda environment file listing all dependencies required to run the Jupyter notebooks.- <code>notebooks</code> Directory containing Jupyter notebooks to open and validate the data files.- <code>data</code> Directory containing the synthetic GPR data files.<br><br><b>GPR Data</b>The synthetic GPR data set was generated using the gprMax software, which simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method. The data set includes multiple 2D profiles with varying offsets and frequencies, designed to test and evaluate processing, analysis, and inversion routines for GPR data.<b>Acquisition Geometry</b>For each of the four sections selected within the model, 161 shots and 161 receivers were used, covering different frequencies (50 MHz, 100 MHz, and 200 MHz). Detailed sketches and validation methods are provided within the Jupyter notebooks.<br><b>Usage Notes</b>An example Python code to read the header file and additional usage notes can be found within the Jupyter notebooks provided in this repository.