Data and code for manuscript titled "Human-induced intensification of sea surface temperature regime shifts threatens global Large Marine Ecosystems"

Read full text
Authors: Qinwang Xing, Zihui Gao, S Ito, Haiqing Yu, Wei Yu, Xinjun Chen
Cited by: 1

Abstract

The four regime shift detection methods described in the manuscript—namely the Sequential t-test Analysis of Regime Shifts (STARS), the structural change method, the chronological clustering method, and the non-parametric method—were implemented in MATLAB R2024b and R v4.4.1. The input variable is the annual SST time series spanning >150 years, and the output variables include the years of detected SST regime shifts as well as their corresponding amplitudes (the absolute difference between consecutive regimes).

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Document type
Dataset