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
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.
This dataset is associated with the following publication:
Zhang, 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).
Resources
1 resource available
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XiaoyuLiu_A-bk43_Data Tables&Dictionary.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| 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. This dataset is associated with the following publication: Zhang, 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 |
[ { "title": "XiaoyuLiu_A-bk43_Data Tables&Dictionary.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520462/XiaoyuLiu_A-bk43_Data%20Tables%26Dictionary.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 |
