Evidence map›Paper›PMID 41937889›Full record

ArticleData in brief2026

Atmospheric mercury monitoring data across Italy: A multi-year national dataset (2020 - 2023).

Mariantonia Bencardino, Antonella Tassone, Maria Martino, Francesco D'Amore, Teresa Sprovieri, Carmine Ungaro, Virginia Andreoli, Giulio Esposito, Giorgio Siliprandi, Guido Lanzani and 5 more

Abstract read
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Mariantonia BencardinoInstitute of Atmospheric Pollution Research of the Italian National Research Council (CNR-IIA), c/o UNICAL Polifunzionale 87036 Rende, Italy.
Antonella TassoneInstitute of Atmospheric Pollution Research of the Italian National Research Council (CNR-IIA), c/o UNICAL Polifunzionale 87036 Rende, Italy.
Maria MartinoInstitute of Atmospheric Pollution Research of the Italian National Research Council (CNR-IIA), c/o UNICAL Polifunzionale 87036 Rende, Italy.
Francesco D'AmoreInstitute for High Performance Computing and Networking of the Italian National Research Council (CNR-ICAR), Via Pietro Bucci 87036 Rende, Italy.
Teresa SprovieriInstitute of Atmospheric Pollution Research of the Italian National Research Council (CNR-IIA), c/o UNICAL Polifunzionale 87036 Rende, Italy.
Carmine UngaroInstitute of Atmospheric Pollution Research of the Italian National Research Council (CNR-IIA), c/o UNICAL Polifunzionale 87036 Rende, Italy.
Virginia AndreoliInstitute of Atmospheric Pollution Research of the Italian National Research Council (CNR-IIA), c/o UNICAL Polifunzionale 87036 Rende, Italy.
Giulio EspositoInstitute of Atmospheric Pollution Research of the Italian National Research Council (CNR-IIA), Strada Provinciale 35D 00010 Montelibretti, RM, Italy.
Giorgio SiliprandiRegional Agency for the Protection of the Environment - Lombardy (ARPA-Lombardia), Viale Risorgimento, 43 46100 Mantova, Italy.
Guido LanzaniRegional Agency for the Protection of the Environment - Lombardy (ARPA-Lombardia), Via Rosellini 17 20124 Milano, Italy.
Lorenzo AngiuliRegional Agency for the Protection of the Environment - Apulia (ARPA-Puglia), Corso Trieste 27 70126 Bari, Italy.
Alessandra NocioniRegional Agency for the Protection of the Environment - Apulia (ARPA-Puglia), Via Galanti 16 72100 Brindisi, Italy.
Cristina LeonardiInstitute of Atmospheric Pollution Research of the Italian National Research Council (CNR-IIA), c/o MASE, Via C. Colombo 44 00144 Roma, RM, Italy.
Francesca SprovieriInstitute of Atmospheric Pollution Research of the Italian National Research Council (CNR-IIA), c/o UNICAL Polifunzionale 87036 Rende, Italy.
Nicola PirroneInstitute of Atmospheric Pollution Research of the Italian National Research Council (CNR-IIA), c/o UNICAL Polifunzionale 87036 Rende, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In compliance with the European Air Quality Directive, an Italian monitoring network was established under the framework of the "Reti Speciali" agreement. A key component of this framework is the monitoring of atmospheric mercury (Hg) across the Italian territory. To this end, a dedicated Hg network was designed including three ground-based monitoring stations, strategically located from Northern to Southern Italy, to identify potential geographical variations. Atmospheric Hg was measured using automated instrumentation, providing high-resolution time series for Total Gaseous Mercury (TGM) or Gaseous Elemental Mercury (GEM). While all three stations monitored these primary Hg species, one master station provided advanced speciation data, including Gaseous Oxidized Mercury (GOM) and Particulate-bound Mercury (PBM). The measurements carried out within this network produced a comprehensive four-year dataset (2020-2023), establishing the first preliminary baseline for atmospheric Hg concentrations in Italy. These Hg data are supplemented by concurrent meteorological measurements at each station, enabling multi-parameter analysis. The provided integrated dataset supports a extensive characterization of atmospheric Hg behaviour across the Italian peninsula, enabling the assessment of emission reduction policies mandated by the Minamata Convention on Mercury.

Indexed as

Atmospheric monitoring networkEnvironmental policyEuropean air quality directiveGaseous Oxidized Mercury (GOM)Minamata conventionParticulate-bound Mercury (PBM)Total Gaseous Mercury (TGM)

Identifiers

PMID41937889
PMCPMC13045862

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.