This data file contains the full raw parameter data for the 86 compounds tested in the developmental MEA assay, as well as Area Under the Curve (AUC) calculations and plate normalized data.

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).

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 publicly available data from other published papers is in the published manuscript (DOI provided). This dataset is associated with the following publication: Kopylev, L., M. Dzierlenga, Y. Lin, B. Nachman, E. Radke-Farabaugh, H. Ru, and D. Segal. Which prenatal biomarker is most appropriate for methylmercury dose-response for neurodevelopmental effects?. RISK ANALYSIS. Blackwell Publishing, Malden, MA, USA, 1-10, (2024).

The experimental data were taken from Simon et al., who compiled potency data for effects related to neurotoxicity from four experimental datasets, Stenberg et al. [18] and Wigestrand et al. The measures of potency were EC50 (µM) or IC50 values for all the effects except Stenberg data, which were expressed as a percentage of the control uptake for different concentrations measured. This dataset is associated with the following publication: Pradeep, P., L. Carlson, R. Judson, G. Lehmann, and G. Patlewicz. Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 101: 12-23, (2019).

The dataset contains data from MEA recordings for 6 different compounds that were tested in a concentration-response format. Multiple parameters of neural network function were evaluated. This dataset is associated with the following publication: Shafer , T., C. Mack , A. Johnstone , A. Vassallo, M. Chiappalone, R. De Camargo Lopes, B. Scelfo, A. Novellino, E. Defranchi, T. Palosaari, T. Weisschu, T. Ramirez, R. Landsiedel, S. Martinoia, M. Whealan, and A. Bal-Price. A multi-laboratory evaluation of microelectrode array-based measurements of neural network activity for acute neurotoxicity testing.. NEUROTOXICOLOGY. Elsevier B.V., Amsterdam, NETHERLANDS, 60: 280-292, (2017).

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 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).

Contains values from pbpk models for each study on n-butanol effects. This dataset is associated with the following publication: Segal, D., A. Bale, L. Phillips, A. Sasso, P. Schlosser, C. Starkey, and S. Makris. Issues in Assessing the Health Risks of n-Butanol. JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 40(1): 72-86, (2020).

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).