Evidence map›Paper›PMID 36934159›Full record

ArticleScientific data2023

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

Alessandro Fassò, Jacopo Rodeschini, Alessandro Fusta Moro, Qendrim Shaboviq, Paolo Maranzano, Michela Cameletti, Francesco Finazzi, Natalia Golini, Rosaria Ignaccolo, Philipp Otto

Full text readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Alessandro FassòUniversity of Bergamo, Dept. of Economics, Via dei Caniana 2, 24127, Bergamo, Italy. alessandro.fasso@unibg.it.
Jacopo RodeschiniUniversity of Bergamo, Dept. of Economics, Via dei Caniana 2, 24127, Bergamo, Italy.ORCID http://orcid.org/0000-0003-1874-1854
Alessandro Fusta MoroUniversity of Torino, Dept. of Economics and Statistics, Lungo Dora Siena 100A, 10153, Torino, Italy.
Qendrim ShaboviqLeibniz University Hannover, Institute of Cartography and Geoinformatics, Appelstrasse 9a, 30167, Hannover, Germany.
Paolo MaranzanoUniversity of Milano-Bicocca, Dept. of Economics, Management and Statistics, Piazza dell'Ateneo Nuovo 1, 20126, Milano, Italy.
Michela CamelettiUniversity of Bergamo, Dept. of Economics, Via dei Caniana 2, 24127, Bergamo, Italy.
Francesco FinazziUniversity of Bergamo, Dept. of Economics, Via dei Caniana 2, 24127, Bergamo, Italy.ORCID http://orcid.org/0000-0002-1295-7657
Natalia GoliniUniversity of Torino, Dept. of Economics and Statistics, Lungo Dora Siena 100A, 10153, Torino, Italy.
Rosaria IgnaccoloUniversity of Torino, Dept. of Economics and Statistics, Lungo Dora Siena 100A, 10153, Torino, Italy.
Philipp OttoLeibniz University Hannover, Institute of Cartography and Geoinformatics, Appelstrasse 9a, 30167, Hannover, Germany.

Funding

Fondazione Cariplo (Cariplo Foundation) 2020-4066
6 · The paper itself

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.

Indexed as

Air PollutionLivestockAnimalsEnvironmental MonitoringItalyMeteorologySoilSoil

Identifiers

PMID36934159
PMCPMC10024000

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read11
identifiers read1
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.