Source data for: Mitigating atmospheric heavy metal pollution requires added efforts amid rapid clean-energy transitions in Chinese cities

This dataset contains the underlying source data for all main figures (Figures 1–6) presented in the paper "Mitigating atmospheric heavy metal pollution requires added efforts amid rapid clean-energy transitions in Chinese cities".The Excel file includes the numerical values used to generate each figure, organized by separate sheets:Figure 1. Spatial and temporal characteristics of clean energy transition in Chinese cities (unit: 10,000 tonnes of standard coal). (a) Time trends of final consumption of major energy sources, 2005-2021. (b) Distribution of final consumption of major energy sources across economic sectors in 2021. (c) Spatial distribution of city-level final clean energy consumption in China, 2015-2021. (d) Spatial distribution of city-level clean energy transition in China, 2015-2021. (e)-(j) Clean energy transition in the economic sectors, 2015-2021. Notes: S1-S7 represent Agriculture, Forestry, Animal Husbandry and Fishery; Industry; Construction; Transport, Storage and Post; Wholesale and Retail Trades, Hotels and Catering Services; Other Tertiary Industries; and Residential Consumption, respectively.Figure 2. Each factor’s contribution to AHMP reductions from 2015 to 2020 (unit: tonnes). (a) all sample cities. (b) resource-based cities. (c) non-resource-based cities. (d) service cities. (e) industrial cities. (f) comprehensive type I cities. (g) comprehensive type II cities.Figure 3. Contribution of clean energy transition to AHMP reductions in Chinese cities from 2015 to 2020 (unit: tonnes). (a) resource-based cities. (b) non-resource-based cities. (c) service cities. (d) industrial cities. (e) comprehensive type I cities. (f) comprehensive type II cities.Figure 4. Contribution of clean energy transition to AHMP reductions in in representative cities from 2015 to 2020 (unit: tonnes). (a) As reductions. (b) Cr reductions. (c) Cd reductions. (d) Pb reductions.Figure 5. Evolution trend of AHMP emissions in Chinese cities from 2021 to 2060 (unit: tonnes).Figure 6. Contribution and potential of clean energy transition to AHMP reductions in Chinese cities from 2021 to 2060 (unit: tonnes). Cumulative contributions of city-level clean energy transition to AHMP reductions under the BCES pathway (a), FCES1.3 pathway (b), GCES1.3 pathway (c), and RCES1.3 pathway (d); contribution of clean energy transition across 331 Chinese cities under the FCET+RCES1.3 pathway (e); cumulative contributions in resource-based cities (f), non-resource-based cities (g), service cities (h), industrial cities (i), comprehensive type I cities (j), and comprehensive type II cities (k); reduction potential of representative cities within the FCET+RCES1.3 pathway (i).This dataset is made available under the CC BY 4.0 license.