IST02-IST03 JSE-Eskom Infrastructure-Coupled Financial Network Dataset

Hypergraph edge-weight time series linking 87 JSE-listed securities to 34 Eskom transmission grid nodes (January 2015 to December 2025, T=2870 trading days, 340 hyperedges). Supports IST-02 CASCADEnt/VORTEX and IST-03 PHYSAN research series by Prof. N.D. Moroke, North-West University, South Africa. This dataset supports the paper "Infrastructure-Induced Geometric Compression in an Emerging Financial Market" (Moroke, 2026, Emerging Markets Review, under review). Contents:- eskom_stages_2015_2026.csv: Daily peak load-shedding stage (integer 0–6) for South Africa, 1 January 2015 to 30 April 2026. Sources: Eskom published schedules, CSIR energy reports, EskomSePush archive.- eskom_stages_trading_days.csv: Business-day version of the above, forward-filled for weekends and public holidays.- jse_panel.csv: Daily adjusted closing prices for 15 JSE Top40 securities, January 2015 to April 2026 (Yahoo Finance).- shredi_combined.csv: Final merged analysis dataset — 7 asset return series plus Eskom stage and regime classification, N=2,838 trading days.- shredi_7asset_pipeline.py: Complete reproducible Python pipeline producing all results in the paper.- shredi_all_results.json: All numerical results from pipeline.- build_eskom_zenodo.py: Script to rebuild the Eskom stage series from documented public record. This dataset also supports the paper: Moroke, N.D. (2026). TENSORnet: A Physics-Informed Entropy Protocol for Infrastructure-Induced Metabolic Arrest Detection in Cross-Asset Financial Networks. Computation (MDPI), under review. The TENSORnet paper uses the JSE panel data (jse_panel.csv), Eskom load-shedding stages (eskom_stages_trading_days.csv), and the hypergraph edge-weight time series to construct the Topological Entropy Network Stress Operator and validate metabolic arrest detection across 87 JSE securities coupled to 34 Eskom transmission nodes over T=2,870 trading days (January 2015 – December 2025).本数据集为超图（Hypergraph）边权重时间序列，关联了87支约翰内斯堡证券交易所（JSE）上市证券与34个南非电力公司（Eskom）输电电网节点，时间范围为2015年1月至2025年12月，共包含2870个交易日与340个超边。该数据集由南非西北大学N.D. Moroke教授主导的IST-02 CASCADEnt/VORTEX及IST-03 PHYSAN研究项目提供支持。 本数据集可支撑论文"Infrastructure-Induced Geometric Compression in an Emerging Financial Market"（Moroke, 2026，《新兴市场评论》（Emerging Markets Review），待刊）。 数据集内容如下： - eskom_stages_2015_2026.csv：南非2015年1月1日至2026年4月30日每日峰值限电等级（整数取值0至6），数据来源：Eskom公开调度表、南非科学与工业研究理事会（CSIR）能源报告、EskomSePush档案库。 - eskom_stages_trading_days.csv：上述数据集的交易日适配版本，针对周末与公共假期采用向前填充法补全缺失数据。 - jse_panel.csv：2015年1月至2026年4月期间，15支JSE Top40成分股的每日经调整收盘价，数据来源：雅虎财经（Yahoo Finance）。 - shredi_combined.csv：最终合并分析数据集，包含7项资产收益率序列、Eskom限电等级及状态分类标签，共覆盖2838个交易日。 - shredi_7asset_pipeline.py：可完整复现论文中所有结果的可复现Python代码流程。 - shredi_all_results.json：代码流程生成的全部数值型结果。 - build_eskom_zenodo.py：基于公开可查的原始记录重建Eskom限电等级序列的脚本。 本数据集同时支撑以下论文： Moroke, N.D. (2026). "TENSORnet: A Physics-Informed Entropy Protocol for Infrastructure-Induced Metabolic Arrest Detection in Cross-Asset Financial Networks"，《计算》（Computation，MDPI出版社），待刊。 上述TENSORnet相关论文使用JSE面板数据（jse_panel.csv）、Eskom限电等级数据（eskom_stages_trading_days.csv）以及超图边权重时间序列，构建拓扑熵网络压力算子，并针对2015年1月至2025年12月期间、共2870个交易日内，与34个Eskom输电节点关联的87支JSE上市证券，验证代谢停滞检测效果。