An Explainable Ensemble Machine-Learning Framework for Regime-Shift Forecasting of Algal Blooms across Contrasting Lake Systems: code and data
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| Natura: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901448412889088 |
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| author | Wang, Wei Han, Pengfei Zhang, Chi Liu, Zhihong Jin, Zhaohui Lu, Xixin Huang, Jinkun |
| author_facet | Wang, Wei Han, Pengfei Zhang, Chi Liu, Zhihong Jin, Zhaohui Lu, Xixin Huang, Jinkun |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18218882 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | An Explainable Ensemble Machine-Learning Framework for Regime-Shift Forecasting of Algal Blooms across Contrasting Lake Systems: code and data Wang, Wei Han, Pengfei Zhang, Chi Liu, Zhihong Jin, Zhaohui Lu, Xixin Huang, Jinkun <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> |
| title | An Explainable Ensemble Machine-Learning Framework for Regime-Shift Forecasting of Algal Blooms across Contrasting Lake Systems: code and data |
| url | https://doi.org/10.5281/zenodo.18218882 |