Phosphate recovery from water using cellulose enhanced magnesium carbonate pellets: Kinetics, isotherms, and desorption. This dataset is associated with the following publication: Martin, E., J. Lalley, W. Wang, M. Nadagouda, E. Sahle-Demessie, and S. Chae. Phosphate recovery from water using cellulose enhanced magnesium carbonate pellets: Kinetics, isotherms, and desorption. Chemical Engineering Journal. Elsevier BV, AMSTERDAM, NETHERLANDS, 352: 612-624, (2018).

Phosphate Removal. This dataset is associated with the following publication: Lalley , J., C. Han , G. RamMohan , T. Speth , J. Garland , M. Nadagouda , and D. Dionysiou. Phosphate Removal using Modified Bayoxide®E33 Adsorption Media. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, issue}: 96-107, (2015).

Results from a nanofiltration study utilizing simulated geothermal brines. The data includes a PDF documenting the process used to remove Calcium, Magnesium, Sodium, Silica, Lithium, Chlorine, and Sulfate from simulated geothermal brines. Three different membranes were evaluated. The results were analyzed using inductively coupled plasma mass spectrometry (ICP-MS).

Word Document containing SEM images and XRD patterns. This dataset is associated with the following publication: Chae, S., B. Murugesan, H. Kim, D.K. Duvvuru, T. Lee, Y. Choi, M. Baek, and M. Nadagouda. Advanced Phosphorus Recovery from Municipal Wastewater using Anoxic/Aerobic Membrane Bioreactors and Magnesium Carbonate-Based Pellets. ACS ES&T Water. American Chemical Society, Washington, DC, USA, 1(8): 1657-1664, (2021).

Word Document containing SEM images and XRD patterns. This dataset is associated with the following publication: Chae, S., B. Murugesan, H. Kim, D.K. Duvvuru, T. Lee, Y. Choi, M. Baek, and M. Nadagouda. Advanced Phosphorus Recovery from Municipal Wastewater using Anoxic/Aerobic Membrane Bioreactors and Magnesium Carbonate-Based Pellets. ACS ES&T Water. American Chemical Society, Washington, DC, USA, 1(8): 1657-1664, (2021).

The data set contains the elemental composition, pH, and sulfate content of the utilized mining impacted water used as influent in the columns study, the data for pH, Eh, Cd, Fe, Mn, Zn, sulfate and sulfate removal rate in the columns, and the data for an example XPS spectrum of sulfur from one of the collected solid residues from the bioactive column. This dataset is associated with the following publication: Al-Abed, S., P. Pinto, J. McKernan, E. Feld-Cook, and S. Lomnicki. Mechanisms and Effectivity of Sulfate Reducing Bioreactors using a Chitinous Substrate in Treating Mining Influenced Water. S.J. Allen, D. Dionysiou, G.B. Martin, J. Santamaria, K.L. Yeung, T. Aminabhavi, K. Chandran, and S.G. Pavlostathis Chemical Engineering Journal. Elsevier BV, AMSTERDAM, NETHERLANDS, 323: 270-277, (2017).

Measurements of Selenium collected at Sacramento River Below Keswick 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.).

This Data Release presents multi-agency data for selenium concentrations in ecosystem media that includes water column, suspended particulate material, zooplankton, invertebrates, and fish. Because the data are compiled from multiple sources, the significant figures used to report contaminant concentrations and other metrics may not be internally consistent. These data will serve as the basis for ecosystem-scale modeling of Lake Koocanusa, a bi-national reservoir in Montana and British Columbia. Spreadsheets are ordered in a food-web format to facilitate modeling that emphasizes spatially and temporally paired data. Selenium concentrations are species-specific for fish and taxa-specific for invertebrates to address required specificity for biodynamic dietary modeling. Phytoplankton, zooplankton, and invertebrate densities or biomass are compiled, in addition to fish catches, to help elucidate productivity and identify which groups, taxa, or species are abundant on a seasonal basis. For water quality context, the historical record of selenium concentrations is given, with emphasis on the primary selenium loading site near where the Elk River enters Lake Koocanusa. Spreadsheets with the term "annex" in their file name address a competing toxin, mercury, for fish. Recent high frequency monitoring of selenium concentrations at the international border and at a gaging station below Libby Dam provide a perspective on future selenium data availability. Methodologies are described as federal, provincial, and state agencies transition to a consistent set of protocols to ensure consistency in monitoring for locations on both sides of the border.