Ontology highlight
ABSTRACT:
SUBMITTER: Besel V
PROVIDER: S-EPMC10338534 | biostudies-literature | 2023 Jul
REPOSITORIES: biostudies-literature
Besel Vitus V Todorović Milica M Kurtén Theo T Rinke Patrick P Vehkamäki Hanna H
Scientific data 20230712 1
Low-volatile organic compounds (LVOCs) drive key atmospheric processes, such as new particle formation (NPF) and growth. Machine learning tools can accelerate studies of these phenomena, but extensive and versatile LVOC datasets relevant for the atmospheric research community are lacking. We present the GeckoQ dataset with atomic structures of 31,637 atmospherically relevant molecules resulting from the oxidation of α-pinene, toluene and decane. For each molecule, we performed comprehensive conf ...[more]