{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Xiaoyu Liu", "hasEmail": "mailto:liu.xiaoyu@epa.gov"}, "description": "The data presented in this data file is a product of a journal publication. The dataset contains OPFRs gas-phase and surface-phase concentrations in microchambers and small chambers. \n\nThis dataset is associated with the following publication:\nZhang, X., B. Xu, Y. Wang, Z. He, H. Wang, T. Yang, Y. Tan, J. Xiong, and X. Liu. Predicting the emissions of VOCs/SVOCs in source and sink materials: Development of analytical model and determination of the key parameters.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 160: NA, (2022).", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520462/XiaoyuLiu_A-bk43_Data%20Tables%26Dictionary.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "XiaoyuLiu_A-bk43_Data Tables&Dictionary.xlsx"}], "identifier": "https://doi.org/10.23719/1520462", "keyword": ["Material-air partition coefficient", "Semi-volatile organic compounds", "boost intelligence algorithm", "emissions", "initial emittable concentration", "material diffusion coefficient", "volatile organic compounds"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2020-11-03", "programCode": ["020:000"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1016/j.envint.2021.107064"], "rights": null, "title": "Dataset of Predicting the emissions of VOCs and SVOCs in source and sink materials: development of analytical model and determination of the key parameters via a boost intelligence algorithm"}