Removal of copper and lead metal ions from water using pyrolized plant materials. Method can be used to develop a low cost point-of-use device for cleaning contaminated water. This dataset is associated with the following publication: DeMessie, B., E. Sahle-Demessie , and G. Sorial. Cleaning Water Contaminated With Heavy Metal Ions Using Pyrolyzed Banana Peel Adsorbents. Separation Science and Technology. Marcel Dekker Incorporated, New York, NY, USA, 50(16): 2448-2457, (2015).

There is no database. This dataset is not publicly accessible because: This is a review manuscript, there was not data generated under this effort. All data used was secondary data and sources of the data were identified in the manuscript. It can be accessed through the following means: there is no database. Format: There is no database. This dataset is associated with the following publication: Pinto, P., S. Al-Abed , D. Balz, B. Butler , R. Landy , and S. Smith. Bench-Scale and Pilot-Scale Treatment Technologies for the Removal of Total Dissolved Solids from Coal Mine Water: A Review. Robert Kleinmann Mine Water and the Environment. Springer-Verlag, BERLIN-HEIDELBERG, GERMANY, 35(1): 94-112, (2016).

There is no database. This dataset is not publicly accessible because: This is a review manuscript, there was not data generated under this effort. All data used was secondary data and sources of the data were identified in the manuscript. It can be accessed through the following means: there is no database. Format: There is no database. This dataset is associated with the following publication: Pinto, P., S. Al-Abed , D. Balz, B. Butler , R. Landy , and S. Smith. Bench-Scale and Pilot-Scale Treatment Technologies for the Removal of Total Dissolved Solids from Coal Mine Water: A Review. Robert Kleinmann Mine Water and the Environment. Springer-Verlag, BERLIN-HEIDELBERG, GERMANY, 35(1): 94-112, (2016).

The dataset contains the raw data for the graphs in the paper. This dataset is associated with the following publication: Phillips, R., R. James, and M. Magnuson. Electrolyte Selection and Microbial Toxicity for Electrochemical Oxidative Water Treatment Using a Boron-doped Diamond Anode to Support Site Specific Contamination Incident Response. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 197: 135-141, (2017).

The dataset contains the raw data for the graphs in the paper. This dataset is associated with the following publication: Phillips, R., R. James, and M. Magnuson. Electrolyte Selection and Microbial Toxicity for Electrochemical Oxidative Water Treatment Using a Boron-doped Diamond Anode to Support Site Specific Contamination Incident Response. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 197: 135-141, (2017).

Membrane Processes for the Separation of Potential Emerging Pollutants -Review Article. This dataset is associated with the following publication: P. Dharupaneedia, S., N. Sanna Kotrappanavar, M. Nadagouda, K.R. Reddy, S.S. Shukla, and T. Aminabhavi. Membrane-based Separation of Potential Emerging Pollutants. SEPARATION AND PURIFICATION TECHNOLOGY. Elsevier Science Ltd, New York, NY, USA, 210: 850-866, (2019).

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).

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).