Unveiling earthquake-induced hydrochemical signatures: A machine learning multivariate approach to hot springs response in Xianshuihe rupture sequence

Supplementary Table.xlsx:Table S1 The Chemical and isotopic data of hot spring samples from two monitoring stations (XXX and LTG) in the Kangding area of the Xianshuihe fault zone.Table S2 The descriptive statistics of the analytical data for the XXX and LTG hot springsTable S3 Seismic events and their energy density around LTG hot springTable S4 Seismic events and their energy density around XXX hot spring SOM-KM.m :The code for implementing self-organizing Map-K-means (SOM-KM) clustering using MATLAB R2023a Supplementary Material.docx: Text S1. The Self-Organizing Map and the K-means clustering Text S2: Workflow of SOM-K-means Clustering and PCA Methodology.