Published January 30, 2025 | Version 1.0.0
Dataset Open

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

  • 1. ROR icon TU Wien

Description

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.

Files

aerosolpy-release-v1.0.1.zip

Files (121.6 KiB)

Name Size
md5:71363b389d65a541b9696270421d0dfa
69.8 KiB Preview Download
md5:62ec8f732bcbfba0adffe658d266c148
51.8 KiB Preview Download

Additional details

Related works

Is supplement to
Journal Article: 10.1038/s41612-025-00893-5 (DOI)