Data is NC birth registry data linked to brownfield sites. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Birth registry data can be requested through the NCDHHS. Information on brownfields can be accessed through EPA and Clean Up In My Community (CIMC) websites. Format: Datasets are in csv, R, and SAS formats. This dataset is associated with the following publication: Slawsky, E., A. Weaver, T. Luben, and K. Rappazzo. Lead brownfields and birth defects in North Carolina 2003–2015: A cross-sectional case–control study. Birth Defects Research. John Wiley & Sons, Inc., Hoboken, NJ, USA, 116(8): E2367, (2024).

Protocol for requesting public access to these data via CDC. This dataset is not publicly accessible because: These data include PII, including residential data and birth date. It can be accessed through the following means: These data may be accessed by following the National Birth Defects Prevention Study (NBDPS) Protocol for Public Access and Data Sharing. Format: The data are maintained in Analytic Files by CDC

NA. This dataset is not publicly accessible because: The data used in this manuscript were obtained under Data Use Agreements with the NCS Vanguard Data and Sample Archive and Access System and the NICHD Data and Specimen Hub (DASH). Because of the requirements of the DUA, we are unable to provide raw data; thus, the summary data are provided that are included in the manuscript. It can be accessed through the following means: The manuscript contains tables of the summary statistics. For the original data, users must have an approved DUA with NICHD DASH. Format: Word file of tables with summary statistics for maternal blood Pb, urine Pb, Pb surface wipe loading and Pb vacuum bag dust. This dataset is associated with the following publication: Stanek, L., N. Grokhowsky, B. George, and K. Thomas. Assessing lead exposure in U.S. pregnant women using biological and residential measurements. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, (905): 167135, (2023).

■ 상품설명 및 특징 - 본 데이터는 모집된 대상자의 개인식별정보를 비식별화하여 제공합니다. - 모든 데이터는 기관생명윤리위원회(IRB)의 승인을 받은 데이터입니다. - 본 데이터는 임신부 감염병 관리를 위하여 전국 13개 대학병원에 방문한 임신부를 대상으로 코로나19 진단 임신부와 진단받지 않은 정상 임산부의 데이터를 제공합니다. ■ 데이터 범위 - 2020년 ~ 2021년 데이터가 제공되며 3개월마다 업데이트 됩니다. ■ 참고사항 (1) 코딩 방법 - 해당 질병 있음: 1 - 해당 질병 없음: 0 (2) 임신 삼분기 재태주수 - 임신 1분기: ~14주 0일 - 임신 2분기: 14주 1일 ~ 28주 0일 - 임신 3분기: 28주 1일 - 미세먼지 단위: ㎍/㎥ ■ 데이터 상품 요약 - 임신부의 주소지를 기반으로 추정한 대기오염 농도 및 COVID-19 감염 여부와 백신에 관한 데이터 ■ 활용 예제 - 지역별 미세먼지 농도에 따른 임신부의 건강 증진 및 예방 프로그램 개발

The data contains location information, DNA methylation (transformed into epigenetic aging biomakers), dates of examination, demographics, disease diagnoses, and traffic-related air pollution exposures. It is stored as a series of data frames suitable for use in the R programming language. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This data can be accessed by contacting Dr. Cavin Ward-Caviness and describing your needs for the analysis, completing the necessary ethics trainings, and gaining approval on the appropriate IRB applications as well as by the CATHGEN Steering Committee. Format: The data contains location information, DNA methylation (transformed into epigenetic aging biomakers), dates of examination, demographics, disease diagnoses, and traffic-related air pollution exposures. It is stored as a series of data frames suitable for use in the R programming language. This dataset is associated with the following publication: Ward-Caviness, C., A. Russell, A. Weaver, E. Slawsky, R. Dhingra, L. Coulter Kwee, R. Jiang, L. Neas, D. Diaz-Sanchez, R. Devlin, W. Cascio, E. Hauser, S. Shah, W. Kraus, and K. Olden. Accelerated epigenetic age as a biomarker of cardiovascular sensitivity to traffic-related air pollution. Aging. Impact Journals, LLC, Orchard Park, NY, USA, 12(23): 24141-24155, (2020).

전국의대기오염물질배출량정보를시도단위로제공(일별) 시도별 대기오염 배출량 패턴분석, 추이분석, 군집분석 등 데이터 분석에 활용

The dataset contains information on medical history, residential information and demographic information on CATHGEN participants as well as modeled PM2.5 values at participants' residence. This dataset is not publicly accessible because: The data are human subjects data containing potential identifiable information (PII) and therefore access is restricted to the study investigators. Because base data are owned by other entities, these data need to be requested directly from Duke University. It can be accessed through the following means: These data can accessed upon request to the CATHGEN steering committee at Duke University. Format: Data are stored as SAS files on secure EPA drives. This dataset is associated with the following publication: Weaver, A., L. McGuinn, L. Neas, J. Mirowsky, R. Devlin, R. Dhingra, C. Ward-Caviness, W. Cascio, W. Kraus, E. Hauser, Q. Di, J. Schwartz, and D. Diaz-Sanchez. Neighborhood sociodemographic effects on the associations between long-term PM2.5 exposure and cardiovascular outcomes and diabetes. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 3(1): e038, (2019).

This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2006-2010. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. 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.