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).
Complete Metadata
| 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 |
