Global_daily_sectoral_CO2_emissions_from_1970_2024.csv

By collecting over two million records of near-real-time electricity generation, traffic, and industrial output since 2019, and employing machine learning to simulate the nonlinear, time-varying relationships between emissions and predictors (i.e., temperature and time surrogates), we constructed a daily CO₂ emissions dataset for 13 countries and regions globally, spanning the period from 1970 to 2024. This dataset encompasses four sectors: power, industry, residential, and transport (including ground transport and aviation).本研究通过采集2019年以来的超200万条准实时发电量、交通流量与工业产出数据，并运用机器学习方法模拟排放量与预测因子（即温度与时间替代变量）之间的非线性时变关联关系，构建了覆盖全球13个国家和地区、时间跨度为1970年至2024年的每日二氧化碳（CO₂）排放量数据集。该数据集涵盖电力、工业、居民生活与交通运输四大领域，其中交通运输领域包含地面交通与航空运输。