2026-10-12T19:14:56Z https://www.scidb.cn/oai

10.57760/sciencedb.43477 2026-07-24T17:43:04Z

2026-07-24 Monthly 0.01 Degree Carbon Emission Predictions and Uncertainty Estimates for Beijing and Surrounding Regions from 2019 to 2024 doi:10.57760/sciencedb.43477 en This dataset provides monthly 0.01 degree carbon emission predictions and corresponding uncertainty estimates for Beijing and surrounding regions from January 2019 to December 2024. The products were generated using the Cross Covariance Feature Interaction Network (CCFI-Net), a weakly supervised spatial downscaling framework integrating multisource remote sensing, meteorological, and human activity proxy variables under coarse-scale constraints from the 0.1 degree MEIC inventory. The dataset contains 72 monthly emission prediction rasters and their paired uncertainty rasters, supporting analyses of urban emission patterns, hotspot identification, seasonal variation, and uncertainty assessment. carbon emissions; spatial downscaling; remote sensing; uncertainty quantification; Beijing; CCFI-Net Zheng Liang Li Shenshen Hu Xuefei Cai Kun Liu Yang PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank