Identification_Information: Citation: Citation_Information: Originator: Wei, Y., X. Xing, A. Shtein, E. Castro, C. Hultquist, M. D. Yazdi, L. Li, and J. Schwartz Publication_Date: 20221209 Title: Daily and Annual PM2.5, O3, and NO2 Concentrations at ZIP Codes for the Contiguous U.S., 2000-2016, v1.0 Edition: 1.00 Geospatial_Data_Presentation_Form: tabular Publication_Information: Publication_Place: Palisades, NY Publisher: NASA Socioeconomic Data and Applications Center (SEDAC) Online_Linkage: https://doi.org/10.7927/9yp5-hz11 Larger_Work_Citation: Citation_Information: Originator: Wei, Y., X. Qui, M. D. Yazdi, A. Shtein, L. Shi, J. Yang, A. A. Peralta, B. A. Coull, and J. Schwartz Publication_Date: 20220729 Title: Impact of Exposure Measurement Error on Est. Concentration-resp. Relationship Between Long-term PM2.5 Exposure and Mortality Geospatial_Data_Presentation_Form: journal article Series_Information: Series_Name: Environmental Health Perspectives Issue_Identification: 130(7): 077006 Online_Linkage: https://doi.org/10.1289/EHP10389 Description: Abstract: The Daily and Annual PM2.5, O3, and NO2 Concentrations at ZIP Codes for the Contiguous U.S., 2000-2016, v1.0 data set contains daily and annual concentration predictions for Fine Particulate Matter (PM2.5), Ozone (O3), and Nitrogen Dioxide (NO2) pollutants at ZIP Code-level for the years 2000 to 2016. Ensemble predictions of three machine-learning models were implemented (Random Forest, Gradient Boosting, and Neural Network) to estimate the daily concentrations at the centroids of 1km x 1km grid cells across the contiguous U.S. for 2000 to 2016. The predictors included air monitoring data, satellite aerosol optical depth, meteorological conditions, chemical transport model simulations, and land-use variables. The ensemble models demonstrated excellent predictive performance with 10-fold cross-validated R-squared values of 0.86 for PM2.5, 0.86 for O3, and 0.79 for NO2. The predictions allow for estimates of ZIP Code-level pollution concentrations. For general ZIP Codes with polygon representations, pollution levels were estimated by averaging the predictions of grid cells whose centroids lie inside the polygon of that ZIP Code; for other ZIP Codes such as Post Offices or large volume single customers, they were treated as a single point and predicted their pollution levels by assigning the predictions using the nearest grid cell. The polygon shapes and points with latitudes and longitudes for ZIP Codes were obtained from Esri and the U.S. ZIP Code Database and were updated annually. The data include about 31,000 general ZIP Codes with polygon representations, and about 10,000 ZIP Codes as single points. Compared with the 1km grid data, the ZIP Code-level predictions are much smaller in size and are manageable in personal computing environments. This greatly improves the inclusion of scientists in different fields by lowering the key barrier to participation in air pollution research. The units are µg/m^3 for PM2.5 and ppb for O3 and NO2. Purpose: To provide daily and annual Fine Particulate Matter (PM2.5), Ozone (O3), and Nitrogen Dioxide (NO2) concentrations data at ZIP Codes for the contiguous U.S. for research in environmental epidemiology, environmental justice, and health equity by linking with ZIP Code-level demographic and medical data sets, and for other related research. Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20000101 Ending_Date: 20161231 Currentness_Reference: publication date Status: Progress: Complete Maintenance_and_Update_Frequency: As needed Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -180.000000 East_Bounding_Coordinate: -65.000000 North_Bounding_Coordinate: 72.000000 South_Bounding_Coordinate: 17.000000 Keywords: Theme: Theme_Keyword_Thesaurus: SEDAC Theme Theme_Keyword: Health Theme_Keyword: Sustainability Theme_Keyword: Urban Theme: Theme_Keyword_Thesaurus: GCMD Science Keywords, Version 8.6 Theme_Keyword: EARTH SCIENCE > ATMOSPHERE > AEROSOLS > PARTICULATE MATTER Theme_Keyword: EARTH SCIENCE > ATMOSPHERE > AIR QUALITY > PARTICULATES Theme_Keyword: EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > NITROGEN COMPOUNDS > NITROGEN DIOXIDE Theme: Theme_Keyword_Thesaurus: Data Granularity Theme_Keyword: Country Theme: Theme_Keyword_Thesaurus: ISO Topic Theme_Keyword: Environment Theme_Keyword: Health Place: Place_Keyword_Thesaurus: CIESIN Location Terms, Version 3.1 Place_Keyword: United States of America Access_Constraints: None Use_Constraints: This work is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided Point_of_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: NASA Socioeconomic Data and Applications Center (SEDAC) Contact_Address: Address_Type: mailing and physical address Address: CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000 City: Palisades State_or_Province: New York Postal_Code: 10964 Country: United States Contact_Voice_Telephone: +1 845-365-8920 Contact_Facsimile_Telephone: +1 845-365-8922 Contact_Electronic_Mail_Address: ciesin.info@ciesin.columbia.edu Browse_Graphic: Browse_Graphic_File_Name: https://sedac.ciesin.columbia.edu/downloads/maps/aqdh-pm2-5-o3-no2-concentrations-zipcode-contiguous-us-2000-2016/sedac-logo.jpg Browse_Graphic_File_Type: JPEG Cross_Reference: Citation_Information: Originator: Wei, Y., X. Qiu, M. D. Yazdi, A. Shtein, L. Shi, J. Yang, A. A. Peralta, B. A. Coull, and J. Schwartz Publication_Date: 20220501 Title: Air Pollutants and Asthma Hospitalization in the Medicaid Population Series_Information: Series_Name: American Journal of Respiratory and Critical Care Medicine Issue_Identification: 205(9): 1075-1083 Online_Linkage: https://doi.org/10.1164/rccm.202107-1596OC Cross_Reference: Citation_Information: Originator: Jbaily, A., X. Zhou, J. Liu, T. H. Lee, L. Kamareddine, S. Verguet, and F. Dominici Publication_Date: 20220112 Title: Air Pollution Exposure Disparities Across US Population and Income Groups Series_Information: Series_Name: Nature Issue_Identification: 601:228-233 Online_Linkage: https://doi.org/10.1038/s41586-021-04190-y Cross_Reference: Citation_Information: Originator: Qiu, X., Y. Wei, Y., M. Weisskopf, A. Spiro, L. Shi, E. Castro, B. A. Coull, P. Koutrakis, and J. Schwartz Publication_Date: 20221023 Title: Air Pollution, Climate Conditions and Risk of Hospital Admissions for Psychotic Disorders in US Residents Series_Information: Series_Name: Environmental Research Issue_Identification: 216(2): 114636 Online_Linkage: https://doi.org/10.1016/j.envres.2022.114636 Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Geographic: Latitude_Resolution: 0.008330 Longitude_Resolution: 0.008330 Geographic_Coordinate_Units: Decimal degrees Geodetic_Model: Horizontal_Datum_Name: WGS84 Ellipsoid_Name: WGS84 Semi-major_Axis: 6378137.000000 Denominator_of_Flattening_Ratio: 298.257224 Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: NASA Socioeconomic Data and Applications Center (SEDAC) Contact_Address: Address_Type: mailing and physical address Address: CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000 City: Palisades State_or_Province: New York Postal_Code: 10964 Country: United States Contact_Voice_Telephone: +1 845-365-8920 Contact_Facsimile_Telephone: +1 845-365-8922 Contact_Electronic_Mail_Address: ciesin.info@ciesin.columbia.edu Resource_Description: CIESIN_SEDAC_AQDH_PM25O3NO2_ZIPCODE Distribution_Liability: CIESIN follows procedures designed to ensure that data disseminated by CIESIN are of reasonable quality. If, despite these procedures, users encounter apparent errors or misstatements in the data, they should contact SEDAC User Services at +1 845-365-8920 or via email at ciesin.info@ciesin.columbia.edu. Neither CIESIN nor NASA verifies or guarantees the accuracy, reliability, or completeness of any data provided. CIESIN provides this data without warranty of any kind whatsoever, either expressed or implied. CIESIN shall not be liable for incidental, consequential, or special damages arising out of the use of any data provided by CIESIN. Standard_Order_Process: Ordering_Instructions: The data in RData (.rds), and Comma-Separated Values File (.csv) formats are available from the NASA Socioeconomic Data and Applications Center (SEDAC). Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Format_Name: Rdata File_Decompression_Technique: unzip Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://sedac.ciesin.columbia.edu/data/set/aqdh-pm2-5-o3-no2-concentrations-zipcode-contiguous-us-2000-2016/data-download Access_Instructions: Data accessible via the data set landing page. Digital_Form: Digital_Transfer_Information: Format_Name: CSV File_Decompression_Technique: unzip Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://sedac.ciesin.columbia.edu/data/set/aqdh-pm2-5-o3-no2-concentrations-zipcode-contiguous-us-2000-2016/data-download Access_Instructions: Data accessible via the data set landing page. Standard_Order_Process: Available_Time_Period: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20221209 Ending_Date: Present Metadata_Reference_Information: Metadata_Date: 20221110 Metadata_Review_Date: 20230221 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: Center for International Earth Science Information Network (CIESIN) Metadata Administration Contact_Address: Address_Type: mailing and physical address Address: CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000 City: Palisades State_or_Province: New York Postal_Code: 10964 Country: United States Contact_Voice_Telephone: +1 845-365-8988 Contact_Facsimile_Telephone: +1 845-365-8922 Contact_Electronic_Mail_Address: metadata@ciesin.columbia.edu Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998 Metadata_Time_Convention: local time