Data and Code for npj climate and atmospheric science article "Incomplete mass closure in atmospheric nanoparticle growth"

DOI

Dataset and code for article "Incomplete mass closure in atmospheric nanoparticle growth" 

The article is published in npj climate and atmospheric science under the DOI: 10.1038/s41612-025-00893-5.

Context and methodology

The dataset is atmospheric science data.

The dataset contains new particle formation and growth data collected in Hyytiälä, Finland, Beijing, China, and Po-Valley Italy as well as laboratory data from the CERN CLOUD experiment.

The dataset stores the most relevant data for the above referenced publication and provides the code for recreating the main figures of the manuscript.

After data collection the raw data was analyzed as described in the publication. In this repository, the processed data related to the three main Figures of the article is stored.

Technical details

There are two zip files in this dataset. One for the data and code related to the figures and one for the aerosol growth model which is the basis for many calculations within the analysis workflow.

figure-data-and-code-v1.0.0.zip contains three python files to recreate the main figures of the mansucript. In the subfolder ./data all relevant processed data is stored.

aerosolpy-release-v1.0.1.zip contains the python package aerosolpy (https://github.com/DominikStolzenburg/aerosolpy) which was used for the aerosol growth model simulations to create the figures in the above referenced manuscript. The zip file contains a complete image of the python module at the moment of the publication of the article. For follow ups refer to the GitHub page.

Licenses

The data is licensed under CC-BY, the code is licensed under MIT.

Identifier
DOI https://doi.org/10.48436/9633r-zf904
Related Identifier IsSupplementTo https://doi.org/10.1038/s41612-025-00893-5
Related Identifier IsVersionOf https://doi.org/10.48436/f5b6b-a8f60
Metadata Access https://researchdata.tuwien.ac.at/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:researchdata.tuwien.ac.at:9633r-zf904
Provenance
Creator Stolzenburg, Dominik Marco
Publisher TU Wien
Publication Year 2025
Rights Creative Commons Attribution 4.0 International; MIT License; https://creativecommons.org/licenses/by/4.0/legalcode; https://opensource.org/licenses/MIT
OpenAccess true
Contact tudata(at)tuwien.ac.at
Representation
Language English
Resource Type Dataset
Version 1.0.0
Discipline Atmospheric Sciences; Geosciences; Natural Sciences