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).

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 attached zip file contains all of the source data, intermediate outputs and R-scripts used to calculate the tipping points reported in the Frank et al manuscript. This dataset is associated with the following publication: Christopher, F., J. Brown, K. Wallace, J. Wambaugh, I. Shah, and T. Shafer. Defining toxicological tipping points in neuronal network development. TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 354: 81-93, (2018).

Data describe the effects of metal oxide nanoparticles on total spikes and active electrodes after exposure to various concentrations for 1, 24 and 48 hrs, or after treatment with bicuculline. This dataset is not publicly accessible because: Each raw file contains at least 1 hour of recording time and is approximately 50 GB or larger. They cannot be uploaded due to file size. It can be accessed through the following means: Raw files are analyzed using scripts written in R-programming language and outputs from R included the graphs used in the publication. Summaries of the data, R-scripts and summary outputs from the R-analysis are located at the following locations: L:\Lab\NHEERL_MEA\Crooks\MEA_MetalOxides This directory and its sub-directory contains over 30 output files from the R-script analysis including xcell files summarizing the parameters of different statistical models and visualizations of the data in the form of tiff files. L:\Lab\NHEERL_MEA\nanoparticles\Crooks MEA\final analysis This directory and its sub-directories include R-scripts used for analysis as well as folders with R-outputs summarizing statistics for different Fixed-dose trend, fixed interaction and fixed square root models used for analysis. There are over 50 files in this directory. Format: Raw data are derived from Axion Biosystems Maestro system using Axis 1.9 or later software. Data are saved as "*.raw" in a proprietary format on DROBO devices in the Shafer lab. The DROBO devices consist of five 2TB or larger hard drives and allows for self backing of files. Files are stored in folders based on the date the cell culture used for a particular experiment was made, and in subfolders for each experiment date for that culture. 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 metal oxide nanoparticles for effects on neural function using cortical networks on microelectrode arrays. Journal of Nanotoxicology. Taylor and Francis, Philadelphia, PA, USA, 10(5): 619-28, (2016).

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).

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 zip file contains all data and scripts used for the material presented in the manuscript by Kosnik et al. This dataset is associated with the following publication: Kosnik, M., J. Strickland, S. Marvel, D. Wallis, K. Wallace, A. Richard, D. Reif, and T. Shafer. Concentration-Response Evaluation of ToxCast Compounds for Multivariate Activity Patterns of Neural Network Function. Archives of Toxicology. Springer, New York, NY, USA, 94: 469-484, (2020).

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).

This file contains the data used to generate hit calls from neural activity recordings on microelectrode array (MEA) plates treated with ToxCast compounds at a single concentration. This dataset is associated with the following publication: Strickland, J., M. Martin, A. Richard, K. Houck, and T. Shafer. Screening the ToxCast phase II libraries for alterations in network function using cortical neurons grown on multi-well microelectrode array (mwMEA) plates. Archives of Toxicology. Springer, New York, NY, USA, 92(1): 487-500, (2018).

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).