{"accessLevel": "restricted public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Jianyong Wu", "hasEmail": "mailto:wu.jianyong@epa.gov"}, "description": "Organized by zipcode:\nRates of Alzheimer's disease\nPercent of landcover types\nModelled PM2.5\nSocioeconomic variables. 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: Lucas Neas (CPHEA/PHESD/EB) is the owner of the copy of this dataset that was used. Format: Medicare database. \n\nThis dataset is associated with the following publication:\nWu, J., and L. Jackson. Greenspace inversely associated with the risk of Alzheimer\u2019s disease in the mid-Atlantic United States.   Earth. MDPI AG, Basel,  SWITZERLAND, 2(1): 140-150, (2021).", "distribution": [], "identifier": "https://doi.org/10.23719/1520939", "keyword": ["Alzheimer\u2019s disease", "Greenspace", "water", "fine particulate matter (PM2.5)"], "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html", "modified": "2018-11-28", "programCode": ["020:000"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.3390/earth2010009"], "rights": "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy", "title": "Variables for Alzheimer's analysis (without PII data)"}