This archive contains all code and data required to reproduce Figures 1–2 in the main text of the manuscript titled “Near-Surface Liquid Water on Mars Inferred from Seasonal Marsquakes”. The archive includes the following subdirectories: File 1 – Code_Figure1a_MarsMapGenerates Figure 1a, including the InSight landing site, the global Mars map, the water-ice consistency distribution, and the locations of craters with confirmed icy ejecta. File 2 – Code_Figure1b_TemperatureVaryCurveGenerates Figure 1b, showing the representative temperature variation curve at mid-latitude regions. File 3 – Code_Figure2_OccurrenceMapGenerates Figure 2, presenting the spatial distribution of seasonal marsquake occurrence. File 4 – Data_TemperatureProvides the simulated temperature dataset used in the thermal modeling. File 5 – Code_Heat_Conduction_Calculations_With_Latent_HeatCalculate the thermal profile when taking latent heat into account. File 6 – Catalogue_MatchedEvents_EnvelopeFilteringProvides the event catalogue generated from envelope-matching filtering. The catalogue lists the sols of matched events, their occurrence times, cross-correlation coefficients, and the signal-to-noise ratios of the three components (N, E, Z), along with a pass/fail assessment for each detection.MF_Catalogue.xlsx contains results obtained without applying polarization filtering, while MF_Pol_Catalogue.xlsx includes results produced after applying polarization filtering prior to envelope matching. To execute the code successfully, please ensure that all required Python libraries are installed, including (but not limited to) matplotlib, numpy, and obspy, depending on your system configuration. If you find this code useful, kindly cite this repository in any resulting publications. Thank you. Contact: Jing ShiEmail: jshi0927@pku.edu.cn