Quantitative Functional Group Compositions of Household Fuel Burn Emissions using FTIR spectra, gravimetric PM2.5 mass, TOT OC-EC, and GC-MS PAH data set
For the manuscript titled "Quantitative Functional Group Compositions of Household Fuel Burn Emissions using FTIR" by Li et al., EPA measured gravimetric PM2.5 mass, TOT OC-EC measurements, and GC-MS PAH measurements. Predictive models and predictions built from EPA data were performed at the Swiss Federal Institute of Technology Lausanne (EPFL).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
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|
| contactPoint |
{
"fn": "Emily Li",
"hasEmail": "mailto:li.emily@epa.gov"
}
|
| description | For the manuscript titled "Quantitative Functional Group Compositions of Household Fuel Burn Emissions using FTIR" by Li et al., EPA measured gravimetric PM2.5 mass, TOT OC-EC measurements, and GC-MS PAH measurements. Predictive models and predictions built from EPA data were performed at the Swiss Federal Institute of Technology Lausanne (EPFL). |
| distribution |
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| identifier | https://doi.org/10.23719/1524784 |
| keyword |
[
"FTIR",
"OC-EC",
"cookstove",
"particle matter"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2018-06-01 |
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| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
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"subOrganizationOf": {
"name": "U.S. Government"
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|
| references |
null
|
| rights |
null
|
| title | Quantitative Functional Group Compositions of Household Fuel Burn Emissions using FTIR spectra, gravimetric PM2.5 mass, TOT OC-EC, and GC-MS PAH data set |
