
This dataset contains daily gridded estimates of atmospheric XCO₂ concentrations over South Korea at a spatial resolution of 10 km from May 2018 to April 2025. In addition to the estimated XCO₂ concentrations, the dataset provides the corresponding contributions of Solar-Induced Fluorescence (SIF), representing terrestrial influences, and Carbon Monoxide (CO), representing anthropogenic influences, derived from the statistical modeling framework developed in this study.
The dataset was generated to investigate the spatial and temporal variability of atmospheric XCO₂ across South Korea and to quantify the relative contributions of terrestrial and anthropogenic drivers. Each record includes the observation date, geographic coordinates, estimated XCO₂ concentration, and the modeled contributions of SIF and CO.
The dataset is provided in CSV format and is intended for applications in atmospheric science, carbon cycle research, environmental monitoring, and climate-related studies.