Published June 18, 2026 | Version 1

Supplemental Data for "Urban hotspots reveal hidden inequality in global PM2.5 improvement"

  • 1. ROR icon Chang'an University
  • 2. ROR icon Shenzhen University

Description

This dataset accompanies the paper "Urban hotspots reveal hidden inequality in global PM₂.₅ improvement" and contains two files:

SupplementaryData_202606.xlsx provides country-level results for 191 countries across five time points (2000, 2005, 2010, 2015, 2020), including population-weighted PM2.5 exposure for hotspot (HS) and non-hotspot (NHS) areas, absolute and relative HS–NHS disparities, temporal coupling metrics, quadrant classifications, and a parallel urban–rural disparity analysis for 145 countries.

Global_hotspot_shp.zip contains global urban hotspot boundary polygons in Shapefile format (WGS 1984, EPSG:4326) for the same five time points. Hotspots were delineated from nighttime-light imagery using a head/tail breaks procedure based on Zipf's law, requiring no country-specific urban definition. Detailed methodology is provided in Note S2 of the supplementary information.

Files

Global_hotspot_shp.zip

Files (508.8 MB)

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md5:5fae5035032b7419d7d0d8a4a37eb723
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