Data (2 excel files) consist of the analytical test results on water sample collected from the two adsorption media tanks of the arsenic removal system during the regeneration processes conducted multiply times over a five-year period. Data set also includes the companion bed volumes of water treated by the tank of media at the time the water samples were collected. This dataset is associated with the following publications: Sorg, T., A. Chen, L. Wang, and R. Kolich. Regeneration of a Full-Scale Arsenic Removal Adsorptive Media System,Part 1: The Regeneration Process. JOURNAL OF AMERICAN WATER WORKS ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 109(5): 13-24, (2017). Sorg, T., R. Kolich, A.S.C. Chen, and L. Wang. Regeneration of a Full-Scale Arsenic Removal Adsorptive Media System,Part 2: The Performance and Cost. JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 109(5): E122-E128, (2017).

The objective of this research was to evaluate the performance of five arsenic adsorptive media technology of full-scale drinking water treatment systems in the USEPA Arsenic Demonstration Program (ADP) that were found to simultaneously remove other co-occurring inorganic contaminants. The datasets presented here are the figures included in the referenced journal article. This dataset is associated with the following publication: Sorg, T., A. Chen, L. Wang, and D. Lytle. Removing co-occurring contaminants of arsenic and vanadium with full-scale arsenic adsorptive media systems. JOURNAL OF WATER SUPPLY: RESEARCH AND TECHNOLOGY - AQUA. IWA Publishing, London, UK, ( ): 2021148, (2021).

The objective of this research was to evaluate the performance of five arsenic adsorptive media technology of full-scale drinking water treatment systems in the USEPA Arsenic Demonstration Program (ADP) that were found to simultaneously remove other co-occurring inorganic contaminants. The datasets presented here are the figures included in the referenced journal article. This dataset is associated with the following publication: Sorg, T., A. Chen, L. Wang, and D. Lytle. Removing co-occurring contaminants of arsenic and vanadium with full-scale arsenic adsorptive media systems. JOURNAL OF WATER SUPPLY: RESEARCH AND TECHNOLOGY - AQUA. IWA Publishing, London, UK, ( ): 2021148, (2021).

Contains data related to Arsenate and Arsenite injections into chlorinated distribution system simulator. Contains data related to model to predict arsenate and arsenite aqueous and wall concentrations within a chlorinated water distribution system. This dataset is associated with the following publication: Burkhardt, J., J. Szabo, S. Klosterman, J. Hall, and R. Murray. Modeling Fate and Transport of Arsenic in a Chlorinated Distribution System. ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 93(1): 322-331, (2017).

Contains data related to Arsenate and Arsenite injections into chlorinated distribution system simulator. Contains data related to model to predict arsenate and arsenite aqueous and wall concentrations within a chlorinated water distribution system. This dataset is associated with the following publication: Burkhardt, J., J. Szabo, S. Klosterman, J. Hall, and R. Murray. Modeling Fate and Transport of Arsenic in a Chlorinated Distribution System. ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 93(1): 322-331, (2017).

The dataset are the data used to produce figure in manuscript. This dataset is associated with the following publication: Tang, M., D. Lytle, and J. Botkins. Accumulation and Release of Arsenic from Cast Iron: Impact of Initial Arsenic and Orthophosphate Concentrations. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 194: 116942, (2021).

This data includes information on Arsenic violations in the US, including time patterns and spatial patterns in Arsenic violations, and people served by systems in violation. Most of the data is from the Safe Drinking Water Information System. This dataset is associated with the following publication: Foster, S., M. Pennino, J. Compton, S. Leibowitz, and M. Kile. Arsenic Drinking Water Violations Decreased Across the United States Following Revision of the Maximum Contaminant Level.. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(19): 11478-11485, (2019).

This data includes information on Arsenic violations in the US, including time patterns and spatial patterns in Arsenic violations, and people served by systems in violation. Most of the data is from the Safe Drinking Water Information System. This dataset is associated with the following publication: Foster, S., M. Pennino, J. Compton, S. Leibowitz, and M. Kile. Arsenic Drinking Water Violations Decreased Across the United States Following Revision of the Maximum Contaminant Level.. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(19): 11478-11485, (2019).

Measurements of Arsenic collected at Sacramento River Below Shasta Dam. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

The included data set are the data used to create figures/tables in the paper. This dataset is associated with the following publication: Chen, A., L. Wang, T. Sorg, and D. Lytle. Removing Arsenic and Co-Occurring Contaminants from Drinking Water by Full-Scale Ion Exchange and Point-of-Use/Point-Of Entry Reverse Osmosis Systems. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 172: 115455, (2020).