The datasets include individual-level BMI in Phoenix, AZ and Portland, OR obtained from the state DMVs, greenery along walkable roads within 500, 1000, 1500, and 2000 network buffers, and covariates. 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: EnviroAtlas data can be assessed through https://www.epa.gov/enviroatlas Individual-level residential location and body mass index can be requested from state DMVs. Navteq street data can be assessed through EPA internal network by EPA Region. Format: Data used in this study include: 1) EnviroAtlas 1m landcover data (Raster) 2) EnviroAtlas metrics related to street greenery (Raster) 3) Boundaries of neighborhood extents (buffers) (Vector, polygon) 4) Navteq street dataset (Vector, polyline) 5) Individual residential addresses (CSV) and its geocoded points (Vector, point) 6) Individual-level body mass index (CSV) 7) EnviroAtlas Intersection Density of Walkable Roads (Raster) 8) EnviroAtlas Distance to a Park Entrance (Raster) 9) EnviroAtlas Percent Population below the Adjusted Threshold for Quality of Life (CSV) 10) EnviroAtlas Percent Population with Income Twice below the Poverty Level (CSV) 11) EnviroAtlas Percent Non-White Population (CSV) 12) Age and Sex. This dataset is associated with the following publication: Tsai, W., A.S. Davis, and L.E. Jackson. Associations between types of greenery along neighborhood roads and weight status in different climates. Urban Forestry & Urban Greening. Elsevier B.V., Amsterdam, NETHERLANDS, 41: 104-107, (2019).

The human-subjects dataset includes questionnaire responses, socioeconomic and other personal attributes, and neighborhood green-space metrics linked to individual respondents within a SAS database. 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: Request permission to work with individual-level data from the Survey of the Health of Wisconsin (SHOW) from Dr. Kristen Malecki, principal investigator, University of Wisconsin-Madison (kmalecki@wisc.edu). Format: The human-subjects dataset includes questionnaire responses, socioeconomic and other personal attributes, and neighborhood green-space metrics linked to individual respondents within a SAS database. This dataset is associated with the following publication: Tsai, W., L. Yngve, Y. Zhou , K. Beyer, A. Bersch, K. Malecki, and L. Jackson. Street-level neighborhood greenery linked to active transportation: A case study in Milwaukee and Green Bay, WI, USA. LANDSCAPE AND URBAN PLANNING. Elsevier Science Ltd, New York, NY, USA, 191: 103619, (2019).

This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas ). The EnviroAtlas One Meter-scale Urban Land Cover (MULC) Data were generated individually for each EnviroAtlas community. Source imagery varies by community. Land cover classes mapped also vary by community and include the following: water, impervious surfaces, soil and barren land, trees, shrub, grass and herbaceous, agriculture, orchards, woody wetlands, and emergent wetlands. Accuracy assessments were completed for each community's classification. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).