ERI dataset is location data (xyz) and resistivity data in excel format. DPT-EC dataset is depth, resistivity, and rate of penetration in excel format. This dataset is associated with the following publication: Fields, J., T. Tandy, T. Halihan, R. Ross, D. Beak, R. Neill, and J. Groves. Electrical Resistivity Imaging of an Enhanced Aquifer Recharge Site. Journal of Geophysics and Engineering. Oxford University Press, OXFORD, UK, 19(5): 1095-1110, (2022).

This GIS dataset contains polygons depicting RCRA Corrective Action boundary features from all EPA Regions. The Resource Conservation and Recovery Act (RCRA), among other things, helps ensure that wastes are managed in an environmentally sound manner so as to protect human health and the environment from the potential hazards of waste disposal. EPA and 44 authorized states and territories run the Resource Conservation and Recovery Act (RCRA) Corrective Action program to work with hazardous waste facilities to investigate and clean up any release of hazardous waste into the soil, ground water, surface water and air. In general, all generators, transporters, treaters, storers, and disposers of hazardous waste are required to provide information about their activities to state environmental agencies. These agencies, in turn pass on the information to regional and national EPA offices. Accidents or other activities at facilities that treat, store or dispose of hazardous wastes have sometimes led to the release of hazardous waste or hazardous constituents into soil, ground water, surface water, or air. When that happens, the RCRA Corrective Action program is one program that may be used to accomplish the necessary cleanup. This data set provides boundaries for those areas where cleanup activities are underway. RCRA CABs and cleanup boundaries are meant to include the various boundaries associated with a site, including: institutional controls, engineering controls, land use controls, anticipated/acceptable use limitations, operable units, as well as the site or facility boundaries.

This GIS dataset contains polygons depicting RCRA Corrective Action boundary features from all EPA Regions. The Resource Conservation and Recovery Act (RCRA), among other things, helps ensure that wastes are managed in an environmentally sound manner so as to protect human health and the environment from the potential hazards of waste disposal. EPA and 44 authorized states and territories run the Resource Conservation and Recovery Act (RCRA) Corrective Action program to work with hazardous waste facilities to investigate and clean up any release of hazardous waste into the soil, ground water, surface water and air. In general, all generators, transporters, treaters, storers, and disposers of hazardous waste are required to provide information about their activities to state environmental agencies. These agencies, in turn pass on the information to regional and national EPA offices. Accidents or other activities at facilities that treat, store or dispose of hazardous wastes have sometimes led to the release of hazardous waste or hazardous constituents into soil, ground water, surface water, or air. When that happens, the RCRA Corrective Action program is one program that may be used to accomplish the necessary cleanup. This data set provides boundaries for those areas where cleanup activities are underway. RCRA CABs and cleanup boundaries are meant to include the various boundaries associated with a site, including: institutional controls, engineering controls, land use controls, anticipated/acceptable use limitations, operable units, as well as the site or facility boundaries.

Field data and 222Rn activities from the Altona well field. 222Rn, the most stable isotope of radon, was tested for during well extraction experiments. Tracers were also tracked to monitor the well. Data include 222Rn activities and complimentary geochemical data for multiple field experiments as part of an EGS project.

Data include 222Rn activities and complimentary geochemical data for multiple field experiments as part of an EGS project