데이터셋 상세
미국
References - 508 compliant
Three files are available. The first contains a listing of references evaluated in this review article. The second and third contain data extracted from each of those references. Those data files contain details about error type, pollutant, bias, and coverage probability. This dataset is associated with the following publication: Richmond-Bryant, J., and T. Long. Influence of Exposure Errors on Results from Epidemiologic Studies of Different Designs. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 1-10, (2019).
데이터 정보
연관 데이터
Office of Environmental Health Hazard Assessment - Toxicity Criteria Database
공공데이터포털
,Toxicity data for Air (Acute and Chronic Reference Exposure Levels (RELs)), Water (Public Health Goals (PHGs)), Soils (California Human Health Screening Levels (CHHSLs)) and Proposition 65 No Significant Risk Levels (NSRLs) and Maximum Allowable Daily Levels (MADLs).,
CADEE input data for exposure models
공공데이터포털
input data for air pollution exposure models. This dataset is associated with the following publication: Breen, M., S.Y. Chang, M. Breen, Y. Xu, V. Isakov, S. Arunachalam, M.S. Carraway, and R. Devlin. Fine-Scale Modeling of Individual Exposures to Ambient PM2.5, EC, NOx, CO for the Coronary Artery Disease and Environmental Exposure (CADEE) Study. ATMOSPHERE. MDPI AG, Basel, SWITZERLAND, 11(1): 65, (2020).
Toxicity Criteria Database
공공데이터포털
,Toxicity data for Air (Acute and Chronic Reference Exposure Levels (RELs)), Water (Public Health Goals (PHGs)), Soils (California Human Health Screening Levels (CHHSLs)) and Proposition 65 No Significant Risk Levels (NSRLs) and Maximum Allowable Daily Levels (MADLs).,
Measured exposure metrics
공공데이터포털
measured air pollution exposure metrics. This dataset is associated with the following publication: Breen , M., T. Long , B. Schultz, R. Williams , J. Richmond-Bryant , M. Breen, J. Langstaff , R. Devlin , A. Schneider, J. Burke , S.A. Batterman, and Q.Y. Meng. Air Pollution Exposure Model for Individuals (EMI) in Health Studies: Evaluation for Ambient PM2.5 in Central North Carolina. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 49(24): 14184-14194, (2015).
Data for manuscript titled 'PM2.5-attributable mortality burden variability in the continental U.S.'
공공데이터포털
Data used for manuscript available at https://www.sciencedirect.com/science/article/pii/S1352231023005575. Includes a 'README' file briefly explaining how to combine this data with BenMAP-CE to reproduce the results. Citation information for this dataset can be found in Data.gov's References section.