Evidence map›Paper›PMID 42225698›Full record

ArticleScientific data2026

A Comprehensive NMVOC Speciation Database for European Atmospheric Modelling.

Kevin Oliveira, Marc Guevara, Jeroen Kuenen, Oriol Jorba, Carlos Pérez García-Pando, Hugo Denier van der Gon

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Kevin OliveiraBarcelona Supercomputing Center, Plaça Eusebi Güell 1-3, Barcelona, 08034, Spain. kevin.deoliveira@bsc.es.
Marc GuevaraBarcelona Supercomputing Center, Plaça Eusebi Güell 1-3, Barcelona, 08034, Spain.
Jeroen KuenenDepartment of Climate, Air and Sustainability, TNO, Princetonlaan 6, Utrecht, 3584 CB, The Netherlands.
Oriol JorbaBarcelona Supercomputing Center, Plaça Eusebi Güell 1-3, Barcelona, 08034, Spain.
Carlos Pérez García-PandoBarcelona Supercomputing Center, Plaça Eusebi Güell 1-3, Barcelona, 08034, Spain.
Hugo Denier van der GonDepartment of Climate, Air and Sustainability, TNO, Princetonlaan 6, Utrecht, 3584 CB, The Netherlands.

Funding

Spanish Ministry of Science, Innovation and Universities (MICIU) / State Research Agency (AEI) PCI2024-155065-2
6 · The paper itself

Abstract

Speciated non-methane volatile organic compound (NMVOC) emissions are essential for air quality modelling, as they underpin atmospheric oxidation processes, secondary pollutant formation, and the evaluation of mitigation strategies. Yet, these emissions remains poorly quantified in Europe. Here, we introduce a new database of NMVOC speciation profiles that prioritises European-specific data consistent with present-day technologies, fuels, and regulatory frameworks, and covers all anthropogenic emission sources reported by European countries. The database includes 130 chemical speciation profiles and over 900 individual NMVOC species, systematically compiled and harmonised from the literature. To facilitate integration within official emission inventories, the profiles are mapped to the Selected Nomenclature for Air Pollution (SNAP) and Nomenclature for Reporting (NFR) sector classifications. Each profile provides species-level mass fractions and their aggregation into the 25 Global Emissions Inventory Activity (GEIA) NMVOC groups, enabling straightforward integration with chemical mechanisms used in contemporary air quality models. In addition, a ready-to-use file compatible with the Copernicus Atmosphere Monitoring Service European regional emission inventory (CAMS-REG) is provided.

Identifiers

PMID42225698
PMCPMC13527145

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Registered trials

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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.