Dataset presents concentrations of organic pollutants, such as polyaromatic hydrocarbon compounds, in water samples. Water samples of known volume and concentration were allowed to equilibrate with known mass of nanoparticles. The mixture was then ultracentrifuged and sampled for analysis. 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).

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).

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).

This dataset is generated to both qualitatively and quantitatively examine the interactions between nano-TiO2 and natural organic matter (NOM). This integrated dataset assemble all data generated in this project through a series of experiments. This dataset is associated with the following publication: Li , S., H. Ma, L. Wallis, M. Etterson , B. Riley , D. Hoff , and S. Diamond. Impact of natural organic matter on particle behavior and phototoxicity of titanium dioxide nanoparticles. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 542: 324-333, (2016).

This dataset is generated to both qualitatively and quantitatively examine the interactions between nano-TiO2 and natural organic matter (NOM). This integrated dataset assemble all data generated in this project through a series of experiments. This dataset is associated with the following publication: Li , S., H. Ma, L. Wallis, M. Etterson , B. Riley , D. Hoff , and S. Diamond. Impact of natural organic matter on particle behavior and phototoxicity of titanium dioxide nanoparticles. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 542: 324-333, (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).

The initial analysis set was downloaded from https://www.waterqualitydata.us/ using queries described in the file load_water_data.py, hosted at https://github.com/USEPA/EcoSEEM-Consensus-Model-for-Chemicals-in-Surface-Water/tree/master/observation_data. The representative concentration ranges and bioactivity:exposure ratio results are available at the same GitHub repo in the file all_chem_res.csv. This dataset is associated with the following publication: Sayre, R., R. Setzer, M. Serre, and J. Wambaugh. Characterizing surface water concentrations of hundreds of organic chemicals in United States for environmental risk prioritization. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 33: 610-619, (2023).

The numerical data was used to produce plots in manuscript. This dataset is associated with the following publication: Lytle, D., M. Schock, C. Formal, C. Bennett-Stamper, S. Harmon, M. Nadagouda, D. Williams, M. DeSantis, J. Tully, and M. Pham. Lead Particles Size Fractionation and Identification in Newark, New Jersey's Drinking Water. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(21): 13672-13679, (2020).