Dataset of Urban Carbon Sinks, Resident Well-being, and Coupling Coordination in the Yellow River Basin (2000–2030) Based on PLUS Land-Use Scenario Simulation

In particular, residents’ well-being levels were comprehensively evaluated based on relevant indicators such as economy, living conditions, healthcare, education, and the environment; urban carbon sink levels were calculated based on land use and related spatial data; building on this, the degree of coupling, coordination, and relative developmental relationship between urban carbon sinks and residents’ well-being were further estimated, and the impact of policy changes on the coordinated development of the system was analyzed through various scenario simulations.

During data processing, software such as Excel was primarily used for statistical organization and calculations, while land use change simulations and spatial data analysis were conducted using the PLUS model and relevant GIS tools.The spreadsheet files in this dataset are primarily saved in XLSX format. The recorded content consists mainly of year, city, and corresponding indicator values. The units of measurement for each indicator are determined based on the original statistical data and calculation methods; some indicators, after standardization or comprehensive evaluation, are presented as dimensionless data.

During data organization, isolated blank cells are primarily used for table grouping or formatting and do not indicate actual data gaps; Some model calculation results may contain certain errors due to factors such as the precision of the original data, statistical definitions, land-use classification errors, model parameter settings, and scenario assumptions. Therefore, the 2030 simulation results should be interpreted as projections under specific scenario conditions.

The various data files are interrelated and collectively form the data foundation for research on urban carbon sinks, resident well-being, and their coupled and coordinated relationships in the Yellow River Basin.Translated with DeepL.com (free version)