Replication Data for: Evaluation of Model-Based PM2.5 Estimates for Exposure Assessment During Wildfire Smoke Episodes in the Western U.S.
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This analytic dataset contains fine particulate matter (PM2.5) estimates at the locations of air quality monitors across the western US, both mobile smoke monitors deployed by the US Forest Service and stationary monitors maintained by the US EPA. All original sources of this data are open access; we share this processed dataset to facilitate replication of our paper and other exploration' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["air pollution","data science","environmental health","exposure assessment","validation","wildfires"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This analytic dataset contains fine particulate matter (PM2.5) estimates at the locations of air quality monitors across the western US, both mobile smoke monitors deployed by the US Forest Service and stationary monitors maintained by the US EPA. All original sources of this data are open access; we share this processed dataset to facilitate replication of our paper and other exploration' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This analytic dataset contains fine particulate matter (PM2.5) estimates at the locations of air quality monitors across the western US, both mobile smoke monitors deployed by the US Forest Service and stationary monitors maintained by the US EPA. All original sources of this data are open access; we share this processed dataset to facilitate replication of our paper and other exploration
air pollution; data science; environmental health; exposure assessment; validation; wildfires