There has been growing interest in simulating the fate and transport of engineered nanomaterials in the environment. The Water Quality Analysis Simulation Program (WASP) is one of the most widely used water quality models and has recently been upgraded to WASP8. WASP8 incorporates the algorithms to simulate the fate and transport of nanoparticles in surface waters. This study simulates the fate and transport of graphene oxide (GO) nanomaterials and their major phototransformation product, photoreduced graphene oxide (rGO), for Brier Creek, GA, USA. We specifically explored the influences of three important processes on the fate and transport of GO: (1) light attenuation, (2) phototransformation, and (3) heteroaggregation, and simulated their distributions in the river, including the water column and sediment. This dataset is associated with the following publication: Han, Y., C. Knightes, D. Bouchard, R. Zepp, B. Avant, H. Hsieh, X. Chang, B. Acrey, M. Henderson, and J. Spear. Simulating graphene oxide nanomaterial phototransformation and transport in surface water. Environmental Science: Nano. RSC Publishing, Cambridge, UK, 6: 180, (2019).

EPA Nanorelease Dataset. This dataset is associated with the following publication: Wohlleben, W., C. Kingston, J. Carter, E. Sahle-Demessie, S. Vazquez-Campos, B. Acrey, C. Chen, E. Walton, H. Egenolf, P. Muller, and R. Zepp. NanoRelease: Pilot interlaboratory comparison of a weathering protocol applied to resilient and labile polymers with and without embedded carbon nanotubes. CARBON. Pergamon Press Ltd., New York, NY, USA, 113: 346-360, (2017).

The maximum connectivity scores of pairwise chemical conditions summarized from Cmap results in a file with Cytoscape format (http://www.cytoscape.org/). The figures in the publication were generated from this file. The Cytoscape file is formed from importing the eight text file therein. This dataset is associated with the following publication: Wang , R., A. Biales , N. Garcia-Reyero, E. Perkins, D. Villeneuve, G. Ankley, and D. Bencic. Fish Connectivity Mapping: Linking Chemical Stressors by Their MOA-Driven Transcriptomic Profiles. BMC Genomics. BioMed Central Ltd, London, UK, 17(84): 1-20, (2016).

Our data can be used by modeler to develop mathematical models to simulate and predict the fate and transport of the next-generation multifunctional carbon-based metal oxide nanohybrids in the subsurface environments. Furthermore, the data can also be employed to assess the potential environmental impacts and risks associated with the release and transport of carbon-based metal oxide nanohybrids in the subsurface under environmentally relevant physicochemical conditions. This dataset is associated with the following publication: Wang, D., C. Park, A. Masud, N. Aich, and C. Su. Carboxymethylcellulose Mediates the Transport of Carbon Nanotube-Magnetite Nanohybrid Aggregates in Water-Saturated Porous Media. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51: 12405-12415, (2017).

The data set contains the details on the microwave calibrations for carbon nanotubes, the variance predictors and responses by the components applying partial least square regression. Also contains a summary of the model fitness for carbon nanotubes quantification and its corresponding statistics. The data set includes the quantification of CNTs in different matrices: soil and sludge. This dataset is associated with the following publication: He, Y., S. Al-Abed, and D. Dionysios. Multivariate calibration for carbon nanotubes in the environment using the microwave induced heating method. Environmental Nanotechnology, Monitoring and Management. Elsevier B.V., Amsterdam, NETHERLANDS, 11: 100204, (2019).

The data involves a prediction of phototoxicities of nano-materials. The prediction is based on the calculated triplet excited states of fullerenols and single-walled carbon nanotubes. The model used is one previously published using actual phototoxicities of polynuclear aromatic hydrocarbons and their calculated triplet excited states. This dataset is associated with the following publication: Betowski, D. Predicted phototoxicities of carbon nano-material by quantum mechanical calculations. Journal of Molecular Graphics and Modelling. Elsevier B.V., Amsterdam, NETHERLANDS, 75: 102-105, (2017).

Graphs of kinetic data on indirect photoreaction of graphene oxide with selected reactive oxygen species graphs. This dataset is associated with the following publication: Hsieh, H., and R. Zepp. Reactivity of graphene oxide with reactive oxygen species (hydroxyl radical, singlet oxygen, and superoxide anion). Environmental Science: Nano. RSC Publishing, Cambridge, UK, 6(12): 3734-3744, (2019).

Data files representing each of the Figures and Tables published in Al-Abed et al., Environ. Sci.: Nano, 2016, 3, 593. The data file names identify the Figure or Table and each file contains an internal set of data definitions. This dataset is associated with the following publication: Al-Abed, S.R., J. Virkutyte, J. Ortenzio , R.M. McCarrick, L. Degn, R. Zucker , N. Coates , K. Cleveland, H. Ma, S. Diamond, K. Dreher , and W. Boyes. Environmental aging alters AI(OH)3 coating of TiO2 nanoparticles enhancing their photocatalytic and phototoxicity activities. Environmental Science: Nano. RSC Publishing, Cambridge, UK, N/A, (2016).

Data. This dataset is associated with the following publication: Han, C., E. Sahle-Demessie, E. Varughese, and H. Shi. Polypropylene–MWCNT composite degradation, and release, detection and toxicity of MWCNTs during accelerated environmental aging. Environmental Science: Nano. RSC Publishing, Cambridge, UK, 6: 1876-1894, (2019).