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The dataset includes the impacts of air pollution on human health (mortality), agricultural yields and climate between 2020 and 2050. The impacts were estimated with the TM5-FASST model (Van Dingenen et al., 2018) on the basis of the Eclipse scenarios ( https://iiasa.ac.at/web/home/research/researchPrograms/air/Global_emissions.html).
{"references": ["Van Dingenen, R., Dentener, F., Crippa, M., Leitao, J., Marmer, E., Rao, S., Solazzo, E., Valentini, L., 2018. TM5-FASST: a global atmospheric source\u2013receptor model for rapid impact analysis of emission changes on air quality and short-lived climate pollutants. Atmos. Chem. Phys. 18, 16173-16211."]}
ozone, PM2.5, crops, air quality
ozone, PM2.5, crops, air quality
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 2 |

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