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created May 23 2018

updated Nov 27 2018

Description

This dataset provides modeled predictions of particulate matter (PM2.5) levels from the EPA's Downscaler model. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Data are at the county levels for 2001-2014. The dataset includes the maximum, median, mean, and population-weighted mean concentration. Please refer to the metadata attachment for more information.
Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.
By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
Problems or Questions?
Email trackingsupport@cdc.gov.

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Category
Environmental Health & Toxicology
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Public
Tags
air pollution, particulate matter, environmental health, asthma
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SODA2 Only
Yes
Licensing and Attribution
Data Provided By
CDC National Environmental Public Health Tracking Network
Source Link
http://www.cdc.gov/ephtracking
Common Core
Contact Name
Craig Kassinger
Contact Email
nephtrackingsupport@cdc.gov
Bureau Code
009:032
Program Code
009:20
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