Dataset Open Access
Fan, Kai;
Dhammapala, Ranil;
Harrington, Kyle;
Lamb, Brian;
Lee, Yun Ha
{
"DOI": "10.14278/rodare.2029",
"type": "dataset",
"id": "2029",
"title": "Training data of a machine learning modeling framework\u00a0for the air quality forecasts in the Pacific Northwest, USA.",
"issued": {
"date-parts": [
[
2022,
12,
14
]
]
},
"abstract": "<p>These files are the training data of a machine learning modeling framework for the air quality forecasts in the Pacific Northwest (PNW), USA.</p>\n\n<p>O3.zip contains the AQS observations data of O3.</p>\n\n<p>PM_FRM.zip contains the AQS data of PM2.5 using federal reference methods (FRM).</p>\n\n<p>PM_nFRM.zip contains the AQS data of PM2.5 using “FRM-like” methods.</p>\n\n<p>WRF_pkl.zip contains the archived WRF data for the AQS sites in the PNW.</p>",
"publisher": "Rodare",
"author": [
{
"family": "Fan, Kai"
},
{
"family": "Dhammapala, Ranil"
},
{
"family": "Harrington, Kyle"
},
{
"family": "Lamb, Brian"
},
{
"family": "Lee, Yun Ha"
}
]
}
| All versions | This version | |
|---|---|---|
| Views | 904 | 904 |
| Downloads | 259 | 259 |
| Data volume | 114.3 GB | 114.3 GB |
| Unique views | 798 | 798 |
| Unique downloads | 132 | 132 |