Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy

Fassò, A., Rodeschini, J., Fusta Moro, A., Shaboviq, Q., Maranzano, P., Cameletti, M., Finazzi, F., Golini, N., Ignaccolo, R. and Otto, P. (2023) Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy. Scientific Data, 10(1), 143. (doi: 10.1038/s41597-023-02034-0) (PMID:36934159) (PMCID:PMC10024000)

Abstract

The air in the Lombardy region, Italy, is one of the most polluted in Europe because of limited air circulation and high emission levels. There is a large scientific consensus that the agricultural sector has a significant impact on air quality. To support studies quantifying the role of the agricultural and livestock sectors on the Lombardy air quality, this paper presents a harmonised dataset containing daily values of air quality, weather, emissions, livestock, and land and soil use in the years 2016–2021, for the Lombardy region. The daily scale is obtained by averaging hourly data and interpolating other variables. In fact, the pollutant data come from the European Environmental Agency and the Lombardy Regional Environment Protection Agency, weather and emissions data from the European Copernicus programme, livestock data from the Italian zootechnical registry, and land and soil use data from the CORINE Land Cover project. The resulting dataset is designed to be used as is by those using air quality data for research.

• Item Type: Articles
• Additional Information: This research was funded by Fondazione Cariplo under the grant 2020–4066 “AgrImOnIA: the impact of agriculture on air quality and the COVID-19 pandemic” from the “Data Science for science and society” program.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Otto, Dr Philipp
• Authors: Fassò, A., Rodeschini, J., Fusta Moro, A., Shaboviq, Q., Maranzano, P., Cameletti, M., Finazzi, F., Golini, N., Ignaccolo, R., and Otto, P.
• College/School: College of Science and Engineering > School of Mathematics and Statistics > Statistics
• Journal Name: Scientific Data
• Publisher: Nature Research
• ISSN: 2052-4463
• ISSN (Online): 2052-4463
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in Scientific Data 10(1):143
• Publisher Policy: Reproduced under a Creative Commons License