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Data for Quantifying critical thresholds to escape the urban resilience trap

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DataCite Commons2026-05-03 更新2026-05-07 收录
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https://zenodo.org/doi/10.5281/zenodo.19657915
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资源简介:
Dataset: Quantifying critical thresholds to escape the urban resilience trap 1. Dataset Scope and Methodology Utilizing China as a massive natural experiment, this repository provides a continuous, high-dimensional panel dataset covering 290 Chinese cities from 2014 to 2022. It integrates 24 multidimensional indicators across five key subsystems: Economic, Social, Infrastructure, Agri & Food, and Environmental.  Data Processing:Missing values were rigorously imputed using time-series linear interpolation and boundary extrapolation to ensure panel integrity and successfully control for high-dimensional confounding factors. 2. Files Included Indicator_Datasets.zip: A compressed archive containing 24 processed Excel files, one for each resilience indicator. City_Code_Mapping.xlsx: A geospatial mapping table cross-referencing the unique RegionCode with English city names and provinces.
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Zenodo
创建时间:
2026-04-20
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