Extracted Data from: EPA Risk-Screening Environmental Indicators (RSEI), Microdata Disaggregated 2017, 1988-2017 datasets

This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information. If you have questions about the underlying data stored here, please contact the Environmental Protection Agency using their RSEI Contact Form https://www.epa.gov/rsei/forms/contact-us-about-rsei-model or email Mitchell Sumner ([e-mail]). If you have questions or recommendations related to this metadata entry and extracted data, please contact the CAFE Data Management team at: [e-mail] The Geographic Microdata from EPA's Risk-Screening Environmental Indicators (RSEI) model are unique datasets that provide detailed air and water modeling results at various levels of aggregation, spatial geographies, and time periods for data user needs. RSEI Geographic Microdata allow for a flexible ability to compare and analyze RSEI model outputs and results from a receptor-based perspective of potentially impacted geographic areas. These data include values related to each modeled chemical release to air and water and each potentially impacted geographic area located around the facilities that ultimately release the chemical into the environment. Users can examine the potential impacts that environmental releases of toxic chemicals from multiple facilities may have on a particular area, regardless of where the releases originate, and get a more realistic picture of the degree to which the area is potentially affected by TRI chemical releases. Underlying these results is the ability to locate facilities, environmental releases, and people geographically and attribute characteristics of the physical environment such as meteorology, hydrography, and topography on surrounding areas once they are located to estimate potential exposure and relative health impacts. The RSEI model describes the U.S. and its territories using a grid-based system and a surface water network. Facility- and chemical-specific data retrieved from Agency-reported informational data sources (such as site addresses and lat/long coordinates) are then geographically indexed to their corresponding grid cell in the grid system or stream segment (flowline) in the surface water network for modeling purposes. The RSEI air modeling and RSEI water modeling pages contain more information on how RSEI models these types of releases. [Quote from: https://www.epa.gov/rsei/rsei-geographic-microdata-rsei-gm] Data for United States Environmental Protection Agency (EPA) Risk Screening Environmental Indicators (RSEI) model Disaggregated Microdata, 2017, 1988-2017 data. Original data were downloaded 2 August 2025 from http://abt-rsei.s3-website-us-east-1.amazonaws.com/?prefix=microdata2017/. Documentation pdf was downloaded from here: https://www.epa.gov/sites/default/files/2017-01/documents/rsei-documentation-geographic-microdata-v235.pdf . RSEI data are distributed in aggregated and disaggregated forms. Disaggregated data has separate results, concentrations, and toxicity-weighted concentrations for each modeled chemical release for each unit of analysis (810m grid cell, block group census tract, etc.). Aggregated data includes scores summed for all chemical releases. The data in this deposit is disaggregated and distributed at the 810m grid cell level. For RSEI Aggregated Microdata 2017, see: https://sciop.net/uploads/bf258852c37fa1cae8512c49cda65b2a83403c9f, and for other components of the Disaggregated 2017 Microdata, see Zenodo repositories: https://zenodo.org/records/17065165 (Census Agg); https://doi.org/10.5281/zenodo.17065220 (Census Full pt 1); https://zenodo.org/records/17088034 (Census Full pt 2); https://zenodo.org/records/17109745 (Census Full pt 3); https://zenodo.org/records/17102039 (Census Full pt 4); https://zenodo.org/records/17109396 (Census Full pt 5); https://zenodo.org/records/17109593 (Shapefiles pt 1); https://zenodo.org/records/17127799 (Shapefiles pt 2) RSEI Disagg. Microdata 2017 (9) 1988-2017 data