Supplemental Information: Phototransformation-Induced Aggregation of Functionalized Single-Walled Carbon Nanotubes: the Importance of Amorphous Carbon

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Additional information about the carboxylated SWCNT calibration curve, AFM images, EDS results, solar simulator light and UVB lamp spectra, TEM image of parent carboxylated SWCNTs, XPS spectra of the dark control P3 sample and the irradiated P3 sample, and a table summarizing the kinetic parameters (PDF). This dataset is associated with the following publication: Hou, W., C. He, Y. Wang, D. Wang, and R. Zepp. Phototransformation-Induced Aggregation of Functionalized Single-Walled Carbon Nanotubes: The Importance of Amorphous Carbon. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(7): 3494–3502, (2016).

Multivariate Calibration for Carbon Nanotubes in the Environment Using the Microwave Induced Heating Method

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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).

Predicted phototoxicities of carbon nano-material by quantum mechanical calculations

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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).

VOC Emissions and Formation Mechanisms from Carbon Nanotube Composites During 3D Printing

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The data set contains the details on the thermal degradation that takes place during 3D printing of acrylonitrile butadiene styrene both with and without carbon nanotubes. Volatile organic compound (VOC) emissions are measured and used to develop reaction mechanisms. This dataset is associated with the following publication: Potter, P., S. Al-Abed, D. Lay, and S. Lomnicki. VOC Emissions and Formation Mechanisms from Carbon Nanotube Composites during 3D Printing. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53: 4364-4370, (2019).

Supplementary material for: The detection of carbon dioxide leaks using quasi-tomographic laser absorption spectroscopy measurements in variable wind

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The data is for the companion paper: ZH Levine et al., The detection of carbon dioxide leaks using quasi-tomographic laser absorption spectroscopy, Atmospheric Measurement Techniques, in press (to appear 2016). The data include measurements carbon dioxide in the atmosphere in a field in Ft. Wayne, Indiana as well as simulations of such measurements.

Light-absorbing organic carbon from prescribed and laboratory biomass burning and gasoline vehicle emissions

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This dataset is a compilation of optical properties of the organic fraction of particulate matter emitted from prescribed burning and from gasoline vehicles. This dataset is associated with the following publication: Xie, M., M. Hays, and A. Holder. Light absorbing organic carbon from prescribed and laboratory biomass burning and gasoline vehicle emissions. Scientific Reports. Nature Publishing Group, London, UK, online, (2017).

EPA Nanorelease Dataset

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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).

Data supporting Al-Abed et al., Environ. Sci.: Nano, 2016,

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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).

Transport of carbon nanotube-magnetite nanohybrids in water-saturated porous media

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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).

Influence of polymer additives on gas-phase emissions from 3D printer filaments

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The data set contains the details on the thermal degradation that takes place during 3D printing of six commercially-available 3D printer filaments containing either carbon nanotubes or metal particle additives. Volatile organic compound (VOC) emissions are measured and used to develop reaction mechanisms. This dataset is associated with the following publication: Potter, P.M., S.R. Al-Abed, F. Hasan, and S.M. Lomnicki. Influence of polymer additives on gas-phase emissions from 3D printer filaments. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 279: 138543, (2021).