Skip to content
DraconiticResearch
Search Sources API
182,549 studies31 sourcesUpdated 59 min ago
Peer-reviewedCC BY 4.0Scientific Data

The Dataset of Daily Air Quality for the Years 2013-2023 in Italy

  1. 1Department of Engineering and Applied Science, University of Bergamo, Dalmine, Italy
  2. 2Department of Economics, University of Bergamo, Bergamo, Italy

Abstract

Air quality and climate are major issues in Italian society and lie at the intersection of many research fields, including public health and policy planning. There is an increasing need for readily available, easily accessible, ready-to-use and well-documented datasets on air quality and climate. In this paper, we present the GRINS_AQCLIM dataset1, created under the GRINS project framework, covering the entire Italian domain for the period 2013-2023. It includes daily statistics (e.g., minimum, quartiles, mean, median and maximum) for a collection of air pollutant concentrations and climate variables at the locations of the 744 available monitoring stations. Input data are retrieved from the European Environmental Agency and Copernicus Programme and were subjected to multiple processing steps to ensure their reliability and quality. Datasets are hosted on Zenodo under open-access principles.

Related

  1. Daily associations between outdoor air pollution and sleep quality
    Carolina Temporão, Pauline Caille, Guillaume Chevance +5
    HALPreprintCC BY 4.0Full textGeneral biologyEnvironmental science & pollutionHALmedRxiv
  2. Dataset on water quality and trophic status assessment of San Martín Lake (Ecuador) using NSF, OWQI, CCME, OECD, Carlson and TRIX approaches (2021-2022).
    Fernando Garcia-Avila, Pablo Loja-Suco, Christopher Siguenza-Jetón +5
    Data in briefPeer-reviewedCC BY-NCFull textHydrology & soilsEurope PMC
  3. GROW-Qual: A global observational groundwater quality dataset linked to water table dynamics and Earth system variables
    Edward Russell Jones, Annemarie Bäthge, Andrew Pearson +4
    EarthArXivPreprintCC BY 4.0Full textEnvironmental science & pollutionHydrology & soilsEarthArXiv
  4. A framework for assessing human internal microplastic exposure through dataset alignment and quality screening
    A.A. Koelmans, Y. Qiu, I. Wardani +2
    Environment InternationalPeer-reviewedCC BYFull textEnvironmental science & pollutionDOAJ
  5. Water Quality Improvements and Hydrogeomorphic Change Over 20 Years Contributed to Macrophyte Community Recovery in the Upper Mississippi River
    Danelle M Larson, Mirkka M Jones, Benjamin Weigel +2
    Global Change BiologyPeer-reviewedCC BY 4.0Full textEcologyEnvironmental science & pollutionHAL
BibTeX
@article{moro2026dataset,
  title = {{The Dataset of Daily Air Quality for the Years 2013-2023 in Italy}},
  author = {Alessandro Fusta Moro and Alessandro Fassó and Jacopo Rodeschini},
  journal = {Scientific Data},
  year = {2026},
  month = jul,
  doi = {10.1038/s41597-026-07712-3},
  url = {https://doi.org/10.1038/s41597-026-07712-3},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - The Dataset of Daily Air Quality for the Years 2013-2023 in Italy
AU  - Alessandro Fusta Moro
AU  - Alessandro Fassó
AU  - Jacopo Rodeschini
PY  - 2026
DA  - 2026/07/07
JO  - Scientific Data
DO  - 10.1038/s41597-026-07712-3
UR  - https://doi.org/10.1038/s41597-026-07712-3
AB  - Air quality and climate are major issues in Italian society and lie at the intersection of many research fields, including public health and policy planning. There is an increasing need for readily available, easily accessible, ready-to-use and well-documented datasets on air quality and climate. In this paper, we present the GRINS_AQCLIM dataset1, created under the GRINS project framework, covering the entire Italian domain for the period 2013-2023. It includes daily statistics (e.g., minimum, quartiles, mean, median and maximum) for a collection of air pollutant concentrations and climate variables at the locations of the 744 available monitoring stations. Input data are retrieved from the European Environmental Agency and Copernicus Programme and were subjected to multiple processing steps to ensure their reliability and quality. Datasets are hosted on Zenodo under open-access principles.
SN  - 2052-4463
ER  -