silver concentrations measured in cells by ICP-MS, flow cytometry data measured from cells treated with silver nanoparticles, viability data from cells treated with silver nanoparticles. This dataset is associated with the following publication: Ortenzio, J., L. Degn, A. Goldstein-Plesser, J. Mcgee, J. Navratilova, K. Rogers, R. Zucker, and W. Boyes. Determination of Silver Nanoparticle Dose in vitro. NanoImpact. Elsevier B.V., Amsterdam, NETHERLANDS, 1-10, (2019).

silver concentrations measured in cells by ICP-MS, flow cytometry data measured from cells treated with silver nanoparticles, viability data from cells treated with silver nanoparticles. This dataset is associated with the following publication: Ortenzio, J., L. Degn, A. Goldstein-Plesser, J. Mcgee, J. Navratilova, K. Rogers, R. Zucker, and W. Boyes. Determination of Silver Nanoparticle Dose in vitro. NanoImpact. Elsevier B.V., Amsterdam, NETHERLANDS, 1-10, (2019).

The dataset contains journal article table and figure results. This dataset is associated with the following publication: Salih, H., A. El Badawy, T. Tolaymat, and C. Patterson. Removal of Stabilized Silver Nanoparticles from Surface Water by Conventional Treatment Processes. Advances in Nanoparticles. Scientific Research Publishing, Inc., Irvine, CA, USA, 8(2): 21-35, (2019).

The data set contains the details on the silver speciation in silver nanoparticle consumer products and the transformation of the silver during their usage and disposal. Synthetic stomach fluid and wastewater sludge are used to create a model for the lifecycle of silver nanoparticle dietary supplements. This dataset is associated with the following publication: Potter, P., J. Navratilova, K. Rogers, and S. Al-Abed. Transformation of silver nanoparticle consumer products during simulated usage and disposal. Environmental Science: Nano. RSC Publishing, Cambridge, UK, 6(2): 592-598, (2019).

Colloidal silver spray product characterization: Total silver, particle size, GI bioavailability, cytotoxicity. This dataset is associated with the following publication: Rogers, K., T.E. Henson, J. Navratilova, M. Surette, M. Hughes, K. Bradham, A.B. Stefaniak, A.K. Knepp, and L. Bowers. In vitro intestinal toxicity of commercially available spray disinfectant products advertised to contain colloidal silver. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 728: 138611, (2020).

The data set contains the details on the characterization of silver nanoparticles suspension, the dissolution of silver nanoparticles in consumer products based on the dissolved mass Ag+ at deionized water and tap water and particle size fluctuations in deionized water and tap. Also contains a comparison of dissolution patterns between silver consumer products and laboratory-synthesized silver nanoparticles. This dataset is associated with the following publication: Radwan, I.M., A. Gitipour, P.M. Potter, D.D. Dionysiou, and S.R. Al-Abed. Dissolution of silver nanoparticles in colloidal consumer products: effects of particle size and capping agent. Journal of Nanoparticle Research. Springer SBM, New York, NY, USA, 21: 155, (2019).

The presence of silver nanoparticles (AgNPs) in aquatic environments could potentially cause adverse impacts on ecosystems and human health. However, current understanding of the environmental fate and transport of AgNPs is still limited because their properties in complex environmental samples cannot be accurately determined. In this study, the feasibility of using asymmetric flow field-flow fractionation (AF4) connected online with single particle inductively coupled plasma mass spectrometry (spICPMS) to detect and quantify AgNPs at environmentally relevant concentrations was investigated. The AF4 channel had a thickness of 350 µm and its accumulation wall was a 10 kDa regenerated cellulose membrane. A 0.02 % FL-70 surfactant solution was used as an AF4 carrier. With 1.2 mL/min AF4 cross flow rate, 1.5 mL/min AF4 channel flow rate, and 5 ms spICPMS dwell time, the AF4–spICPMS can detect and quantify 40 – 80 nm AgNPs, as well as Ag-SiO2 nanoparticles (51.0 nm diameter Ag core and 21.6 nm SiO2 shell), with good recovery within 30 min. This system was not only effective in differentiating and quantifying different types of AgNPs with similar hydrodynamic diameters, such as in mixtures containing Ag-SiO2 core-shell nanoparticles and 40 – 80 nm AgNPs, but also suitable for differentiating between 40 nm AgNPs and elevated dissolved Ag content. The study results indicate that AF4–spICPMS is capable of detecting and quantifying AgNPs and other engineered metal- nanomaterials in environmental samples. Nevertheless, further studies are needed before AF4–spICPMS can become a routine analytical technique. This dataset is associated with the following publication: Huynh, K.A., E. Siska, E. Heithmar, S. Tadjiki, and S. Pergantis. Detection and Quantification of Silver Nanoparticles at Environmentally Relevant Concentrations Using Asymmetric Flow Field–Flow Fractionation Online with Single Particle Inductively Coupled Plasma Mass Spectrometry. Analytical Chemistry. American Chemical Society, Washington, DC, USA, 88(9): 4909–4916, (2016).

The presence of silver nanoparticles (AgNPs) in aquatic environments could potentially cause adverse impacts on ecosystems and human health. However, current understanding of the environmental fate and transport of AgNPs is still limited because their properties in complex environmental samples cannot be accurately determined. In this study, the feasibility of using asymmetric flow field-flow fractionation (AF4) connected online with single particle inductively coupled plasma mass spectrometry (spICPMS) to detect and quantify AgNPs at environmentally relevant concentrations was investigated. The AF4 channel had a thickness of 350 µm and its accumulation wall was a 10 kDa regenerated cellulose membrane. A 0.02 % FL-70 surfactant solution was used as an AF4 carrier. With 1.2 mL/min AF4 cross flow rate, 1.5 mL/min AF4 channel flow rate, and 5 ms spICPMS dwell time, the AF4–spICPMS can detect and quantify 40 – 80 nm AgNPs, as well as Ag-SiO2 nanoparticles (51.0 nm diameter Ag core and 21.6 nm SiO2 shell), with good recovery within 30 min. This system was not only effective in differentiating and quantifying different types of AgNPs with similar hydrodynamic diameters, such as in mixtures containing Ag-SiO2 core-shell nanoparticles and 40 – 80 nm AgNPs, but also suitable for differentiating between 40 nm AgNPs and elevated dissolved Ag content. The study results indicate that AF4–spICPMS is capable of detecting and quantifying AgNPs and other engineered metal- nanomaterials in environmental samples. Nevertheless, further studies are needed before AF4–spICPMS can become a routine analytical technique. This dataset is associated with the following publication: Huynh, K.A., E. Siska, E. Heithmar, S. Tadjiki, and S. Pergantis. Detection and Quantification of Silver Nanoparticles at Environmentally Relevant Concentrations Using Asymmetric Flow Field–Flow Fractionation Online with Single Particle Inductively Coupled Plasma Mass Spectrometry. Analytical Chemistry. American Chemical Society, Washington, DC, USA, 88(9): 4909–4916, (2016).

The data set contains the details on the characterization of silver nanoparticles suspension, and investigation of exposure of surface cleaning products to AgNPs (lab-synthesized & colloidal AgNPs in consumer product). In addition, Ag+ (as AgNO3) was used to simulate Ag+ released from solid nano-enabled products. This dataset is associated with the following publication: Radwan, I.M., P.M. Potter, D.D. Dionysiou, and S.R. Al-Abed. Silver Nanoparticle Interactions with Surfactant-Based Household Surface Cleaners. ENVIRONMENTAL ENGINEERING SCIENCE. Mary Ann Liebert, Inc., Larchmont, NY, USA, 38(6): 481-488, (2021).

the zip files contain outputs from the R-analysis for the nanosilver experiments. This dataset is associated with the following publication: Strickland, J., W. LeFew, J. Crooks, D. Hall, J. Ortenzio , K. Dreher , and T. Shafer. In vitro screening of silver nanoparticles and ionic silver using neural networks yields differential effects on spontaneous activity and pharmacological responses.. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 355(11): 1-8, (2016).