Data collected in a series of laboratory experiments conducted with the model freshwater snail Lymnaea stagnalis exposed to dissolved platinum (Pt), or polyvinylpyrrolidone coated platinum nanoparticles (PtNPs) of five different nominal hydrodynamic diameters in the presence (or absence) of natural organic matter (NOM) are presented in this data release. Files include 1) a data dictionary describing the variables; 2) exposure characteristics of the experimental solutions; 3) Pt concentrations in the experimental organisms; and 4) QA/QC performed during the analysis. Format of the files is comma delimited (*.csv).

The data set describes the characterization of organosilica nanoparticle thin films used to adsorb PCBs from laboratory water and a sediment collected near Anniston Alabama. Data not shown here for the porewater and sediment PCB concentrations can be found in Appendix 1 of Ingersoll et al. 2014 (http://dx.doi.org/10.3133/sir20135125) Bulk sediment chemistry was obtained from Table A1-3a.Porewater estimated from solid phase microextraction fibers was obtained from Table A1-3c. The concentration of PCB in Lumbriculus variegatus was obtained from Table A1-3e.

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 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).

Concentrations of different polyaromatic hydrocarbons in water before and after interaction with nanomaterials. The results show the capacity of engineer nanomaterials for adsorbing different organic pollutants. This dataset is associated with the following publication: Sahle-Demessie, E., A. Zhao, C. Han, B. Hann, and H. Grecsek. Interaction of engineered nanomaterials with hydrophobic organic pollutants.. Journal of Nanotechnology. Hindawi Publishing Corporation, New York, NY, USA, 27(28): 284003, (2016).

The data are used to support the development and validation of two quantitative polymerase chain reaction (qPCR) assays to detect the parasite Nanophyetus salmincola DNA in water samples and fish and snail tissues. The data link to a series of experiments that are described in the publications. Experiment 1 defines the linearity and detection limits of the assays. Experiment 2 assesses the utility of the assays to detect N. salminicola waterborne cercaria in one liter volumes of water. Experiment 4 assesses the detection of N. salminicola waterborne cercaria in small volumes (50 microliters). Experiments 5 and 6 assesses the within and between run repeatability of the assays. Experiment 7 assesses the diagnostic specificity of the assays in a fish population known to be negative for the parasite. Experiment 8 assesses the diagnostic specificity of the assays in a fish population known to be positive for the parasite. Experiment 9 assesses the diagnostic accuracy of the assays in fish artificially exposed to the parasite. Experiment 10 assesses the ability of the assay to detect the parasite in the intermediate snail host (Juga spp.). Experiment 11 assesses the ability of the assay to detect the parasite in the one liter volumes of river water collected at sites where the intermediate snail host is either present or absent.

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).

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).

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).