Dataset for: Does offshore wind turbine upscaling reduce life-cycle carbon intensity? The moderating role of foundation type and site conditions

This dataset supports the manuscript "Does offshore wind turbine upscaling reduce life-cycle carbon intensity? The moderating role of foundation type and site conditions," submitted to the Journal of Cleaner Production. It contains the complete parametric life-cycle assessment (LCA) input parameters, engineering quantities, and computed global warming potential (GWP) results for 13 Chinese offshore wind projects spanning three foundation types (monopile, jacket, and high-pile cap) and a turbine capacity range of 4.0–16.0 MW. The dataset includes: (1) a master parameter matrix (DMU_master_dataset.csv) with 23 columns covering turbine specifications, site conditions, foundation steel and copper quantities, five-stage life-cycle emission breakdowns (manufacturing, transportation, installation, operation and maintenance, and decommissioning), and GWP values under three end-of-life recovery scenarios (30%, 60%, 90% steel recovery); and (2) a fully reproducible Python analysis script (regression_analysis.py) that regenerates the ordinary least squares regression model, model comparison table, and regression diagnostics (leverage, Cook's distance) reported in the manuscript. All underlying engineering quantities were extracted from publicly disclosed Environmental Impact Assessment (EIA) reports available through China's national EIA registry. The dataset is provided to support reproducibility and enable further research on the relationship between offshore wind turbine upscaling, foundation engineering, and life-cycle carbon performance.本数据集支撑投稿至《清洁生产杂志》（Journal of Cleaner Production）的论文《海上风电机型大型化是否降低全生命周期碳强度？基础类型与场址条件的调节作用》（Does offshore wind turbine upscaling reduce life-cycle carbon intensity? The moderating role of foundation type and site conditions）。该数据集包含13个中国海上风电项目的完整参数化全生命周期评估（Life Cycle Assessment, LCA）输入参数、工程工程量以及计算得到的全球变暖潜势（Global Warming Potential, GWP）结果，涉及3种基础类型（单桩基础、导管架基础与高桩承台基础），机组容量区间为4.0–16.0 MW。 本数据集包含两类内容：(1) 主参数矩阵文件（DMU_master_dataset.csv），共计23列，涵盖机组规格、场址条件、基础结构用钢与用铜量、五阶段全生命周期排放拆解项（制造、运输、安装、运维与退役），以及3种退役钢材回收情景（回收率分别为30%、60%、90%）下的GWP值；(2) 可完全复现的Python分析脚本（regression_analysis.py），可复现论文中报告的普通最小二乘回归模型、模型对比表以及回归诊断结果（杠杆值、库克距离）。 所有基础工程工程量均提取自中国国家环境影响评价（Environmental Impact Assessment, EIA）登记平台公开披露的环境影响评价报告。本数据集旨在支撑研究可重复性，并助力开展关于海上风电机型大型化、基础工程与全生命周期碳性能之间关联的进一步研究。