Atmospheric C10 dataset

dc.contributor.affiliationDepartment of Applied Physics, Aalto University - Emma Lumiaro
dc.contributor.affiliationDepartment of Applied Physics, Aalto University - Milica Todorovic
dc.contributor.affiliationDepartment of Applied Physics, Aalto University - Patrick Rinke
dc.contributor.affiliationDepartment of Chemistry, Faculty of Science, PO Box 55, FI-00014 University of Helsinki, Finland - Theo Kurten
dc.contributor.affiliationInstitute for Atmospheric and Earth System Research/Physics, Faculty of Science, PO Box 64, FI-00014 University ofHelsinki, Finland - Hanna Vehkamäki
dc.contributor.authorEmma Lumiaro
dc.contributor.authorMilica Todorovic
dc.contributor.authorPatrick Rinke
dc.contributor.authorTheo Kurten
dc.contributor.authorHanna Vehkamäki
dc.date.accessioned2025-03-24T15:23:12Z
dc.date.issued2020-11-26
dc.date.issued2020-11-26
dc.descriptionThis dataset was created in the following study: E. Lumiaro, M. Todorovic, T. Kurten, H. Vehkamaki, P. Rinke,  “Predicting Gas-Particle Partitioning Coefficients of Atmospheric Molecules with Machine Learning”,  arXiv, 2010.14207 (2020)
dc.identifierhttps://doi.org/10.5281/zenodo.4291795
dc.identifier.urihttps://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/11026
dc.rightsOpen
dc.rights.licensecc-by-4.0
dc.titleAtmospheric C10 dataset
dc.typedataset
dc.typedataset
Zenodo


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