The dataset shows the distribution of Pb phases resulting from various amendments to change Pb speciation. This dataset is associated with the following publication: Obrycki, J., K. Scheckel, and N. Basta. Soil solution interactions may limit Pb remediation using P amendments in an urban soil. David Carpenter, Eddy Zeng ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 220: 549-556, (2017).
Remediation produces long-term changes in soil lead bioavailability in a mouse model. 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: In the publication and supporting information. Format: These data were generated from US EPA Superfund site soil samples. All of the soil samples were provided to NERL for methods development based on the agreement that the specific sample identifiers not be released. While the City location is listed in the publication, the specific location of the site is not. There are currently on-going additional studies by USEPA and USDA that would be impacted if the site identifiers were release, which requires this information to be protected. The public can access the data, which are provided in the publication and presented in tables and figures within the publication. This dataset is associated with the following publication: Bradham, K., G. Diamond, C. Nelson, M. Noerpel, K. Scheckel, B. Elek, R. Chaney, Q. Ma, and D. Thomas. Long-Term in Situ Reduction in Soil Lead Bioavailability Measured in a Mouse Model. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(23): 13908–13913, (2018).
Underlying modeling outputs used to generate Figures in the manuscript and supplemental figures. This dataset is associated with the following publication: Stanek, L., J. Xue, C. Lay, E. Helm, T. Speth, D. Lytle, M. Schock, and V. Zartarian. Modeled Impacts of Drinking Water Lead Reduction Scenarios on Children’s Exposures and Blood Lead Levels. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(15): 9474-9482, (2020).
This service currently delivers three datasets via RESTful APIs which draw data from the New Mexico Environment Department's SDWIS/State database: * Drinking Water Watch (DWW) samples * Drinking Water Watch (DWW) violations * Federal Reporting System (FedRep) facilities
This work discusses drinking water sampling efforts for lead in Flint, MI. This dataset is associated with the following publication: Lytle, D., M. Schock, K. Wait, K. Cahalan, V. Bosscher, A. Porter, and M. Deltoral. SEQUENTIAL DRINKING WATER SAMPLING AS A TOOL FOR EVALUATING LEAD IN FLINT, MICHIGAN. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 157: 40-54, (2019).
Total and bioaccessible arsenic and lead levels and plant uptake in garden plants from Puerto Rico. 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: The public can access the non personally identifiable data through the journal (Geosciences) publisher (MDPI). The journal is open access and does not require a subscription. Format: These data were generated from EPA Regional plant and soil samples. This dataset is associated with the following publication: Misenheimer, J., C. Nelson, E. Huertas, M. Medina-Vera, A. Prevatte, and K. Bradham. Total and Bioaccessible Soil Arsenic and Lead Levels and Plant Uptake in Three Urban Community Gardens in Puerto Rico. Geosciences. MDPI AG, Basel, SWITZERLAND, 8(2): 43, (2018).
From the site: "Information on sediment-hosted zinc-lead deposits from around the world with grade and tonnage models, a general classification based on geologic setting, mineralogy, with data allowing locations of these deposits to be plotted using GIS."