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Bibliographic Details
Main Authors:	Wang, Wei, Han, Pengfei, Zhang, Chi, Liu, Zhihong, Jin, Zhaohui, Lu, Xixin, Huang, Jinkun
Format:	Recurso digital
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Published:	Zenodo 2026
Online Access:	https://doi.org/10.5281/zenodo.18218882
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<p>This repository contains the relevant code and data for the paper on <strong>An Explainable Ensemble Machine-Learning Framework for Regime-Shift Forecasting of Algal Blooms across Contrasting Lake Systems</strong>.<br>Specifically, the <strong>Research data and codes.zip</strong> file contains water quality and meteorological datasets from Lake Taihu and NEL, together with the implementation codes for three machine learning models (RF, SVM, XGBoost).</p>