hyperspectral imaging data, images , flow cytometry histograms. 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: contact robert zucker by e-mail zucker.robert@epa.gov. Format: the imaging is in JP2 and ND 2 nikon files . the flow cytometry is in FSC3.0 format which is not uploadable. This dataset is associated with the following publication: Zucker, R., J. Ortenzio, L. Degn, J. Lerner , and W. Boyes. Biophysical Comparison of Four Silver Nanoparticles Coatings using Microscopy, Hyperspectral Imaging and Flow Cytometry.. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 1-24, (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 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).

The dataset contains data on the dynamic light scattering measurements that were conducted and reported in the manuscript. The average size of the silver nanoparticles used is presented along with a time series of measurements measuring how the measured hydrodynamic diameter changed in the presence of Ampicillin over a 12 hour time period. This dataset is associated with the following publication: Surwade, P., C. Ghildyal, C. Weikel, T. Luxton, D. Peloquin, F. Xin, and V. Shah. Augmented antibacterial activity of ampicillin with silver nanoparticles against methicillin-resistant Staphylococcus aureus (MRSA). The Journal of Antibiotics. Springer Nature Group, New York, NY, 72(2): 50-53, (2019).

Toxicity data for the impact of nano-silver on anaerobic degradation. This dataset is associated with the following publication: Gitipour, A., S. Thiel, K. Scheckel, and T. Tolaymat. Anaerobic Toxicity of Cationic Silver Nanoparticles. D. Barcelo Culleres, and J. Gan SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 557: 363-368, (2016).

Toxicity data for the impact of nano-silver on anaerobic degradation. This dataset is associated with the following publication: Gitipour, A., S. Thiel, K. Scheckel, and T. Tolaymat. Anaerobic Toxicity of Cationic Silver Nanoparticles. D. Barcelo Culleres, and J. Gan SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 557: 363-368, (2016).

Laboratory complex conductivity data from partially saturated sand columns with silver nanoparticles. This dataset is not publicly accessible because: It involves two universities and the EPA. The EPA collaborated in the research; but did not provide funding. The data are the property of the universities. It can be accessed through the following means: The authors can be contacted individually for the data. Format: The data will be in xlsx format. This dataset is associated with the following publication: Abdel Aal, G., E. Atekwana, and D. Werkema. Complex conductivity response to silver nanoparticles in partially saturated sand columns. JOURNAL OF APPLIED GEOPHYSICS. Elsevier Science Ltd, New York, NY, USA, 137: 73-81, (2017).

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 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 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).