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Data From: Yellow Air Day Advisory Study, Arthur J. Caplan
Data From: Yellow Air Day Advisory Study, Arthur J. Caplan
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Using a dataset consisting of daily vehicle trips, PM2.5 concentrations, along with a host of climactic control variables, we test the hypothesis that “yellow air day” advisories provided by the Utah Division of Air Quality resulted in subsequent reductions in vehicle trips taken during northern Utah’s winter-inversion seasons in the early 2000s. Winter inversions occur in northern Utah when climactic conditions are such that PM2.5 concentrations (derived mainly from vehicle emissions) become trapped in the lower atmosphere, leading to unhealthy air quality (concentrations of at least 35 µg/m3) over a span of what are called “red air days”. When concentrations …
Data On The Effects Of Persuasive Message Content On Retweet Counts During Natural Hazard Events, Yajie Li, Amanda L. Hughes, Peter D. Howe
Data On The Effects Of Persuasive Message Content On Retweet Counts During Natural Hazard Events, Yajie Li, Amanda L. Hughes, Peter D. Howe
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This dataset contains Twitter messages about heat hazards posted by U.S. National Weather Service accounts in 2016. The dataset also contains the retweet counts of the heat-related tweets and whether several types of persuasive message content were included in each tweet. The population and temperature for the forecast area of each sending National Weather Service account are also included.
Data For "Arch_Covid_Crowding_Vc", Wayne Freimund, Zachary D. Miller
Data For "Arch_Covid_Crowding_Vc", Wayne Freimund, Zachary D. Miller
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Monitoring of visitor use in Arches National Park to assess social distancing behaviors of visitors during the COVID-19 pandemic.