Release and transformation of nanoparticle additives from surface coatings on pristine & weathered pressure treated lumber--Data Set
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The data set contains all data used to generate the figures included in the publication, Release and transformation of nanoparticle additives from surface coatings on pristine & weathered pressure treated lumber surfaces1. The data is arranged by figures and the excel spreadsheet tabs indicate the figure the data is from. All the data presented in the excel file is clearly labeled. 1. Thornton, S.B.; Boggins, S.J.; Peloquin, D.M.; Luxton, T.P. and Clar, J.G. (2020). Release and transformation of nanoparticle additives from surface coatings on pristine & weathered pressure treated lumber. Science of the Total Environment 737: 7. This dataset is associated with the following publication: Thorton, S.B., S.J. Boggins, D.M. Peloquin, T.P. Luxton, and J.G. Clar. Release and transformation of nanoparticle additives from surface coatings on pristine & weathered pressure treated lumber. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 737: 139451, (2020).
Transformation and release of nanoparticle additives & byproducts from commercially available surface coatings on pressure treated lumber via dermal contact, Data Set
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The data set includes the data used to generated figures in the publication Clar, J. G.; Platten, W. E.; Baumann, E.; Remsen, A.; Harmon, S.; Rodgers, K.; Thomas, T.; Matheson, J.; Luxton, T. P., Transformation and release of nanoparticle additives & byproducts from commercially available surface coatings on pressure treated lumber via dermal contact. Sci. Total Environ. 2019, 694, 9. This dataset is associated with the following publication: Clar, J.G., W.E. Platten III, E. Baumann, A. Remsen, S. Harmon, K. Rogers, T. Thomas, J. Matheson, and T.P. Luxton. Transformation and release of nanoparticle additives & byproducts from commercially available surface coatings on pressure treated lumber via dermal contact. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 694: 133669, (2019).
Data Set for Characterization of nanoparticles in wood based consumer products
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The data include is for all of the tables and figures associated with the published journal article. This dataset is associated with the following publication: Platten, W., N. Sylvest, C. Warren, M. Arambewela, S. Harmon , K. Bradham, K. Rogers, T. Thomas, and T. Luxton. Estimating Dermal Exposure to Copper Nanoparticles from the Surfaces of Pressure-Treated Lumber and Implications for Toxicity. D. Barcelo Culleres, and J. Gan SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 548: 441-449, (2016).
환경부 국립환경과학원 나노물질 정보 조회
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물질(그룹)분류, 물질(군)분류, 입자크기, 모양/형태, 물성, 응집/엉김, 취급제품표면처리, 제조방법, 측정장비, 표면개질물질, 표면개질방법, 주요기능, 기타정보 등을 제공한다.
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).
Nanocomposite Degradation and nanorelease
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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).
Elemental fingerprint as a potential tool for tracking the fate of real-life model nanoplastics generated from plastic consumer products in environmental systems
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This research contains new data expanding the realm of nanoplastics that can be followed based on their metallic signatures to all kinds of plastics. Additionally, this study illustrates the importance of nanoplastics as a source of metals and metal-bearing nanoparticles in the environment. This dataset is associated with the following publication: Baalousha, M., J. Wang, M.M. Nabi, M. Alam, M. Erfani, J. Gigault, F. Blancho, M. Davranche, P.M. Potter, and S.R. Al-Abed. The elemental fingerprint as a potential tool for tracking the fate of real-life model nanoplastics generated from plastic consumer products in environmental systems. Environmental Science: Nano. Royal Society of Chemistry, Cambridge, UK, 11(1): 373-388, (2024).
Microplastic and nanoplastic chemical characterization by thermal desorption and pyrolysis mass spectrometry with unsupervised machine learning
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This data publication contains the mass spectrometry chemical characterization of microplastic and nanoplastic chemical analysis. The data from this study includes mass spectra of pure, mixed, and weathered microplastics and nanoplastics at high and low fragmentation, extracted ion chronograms, Kendrick mass defect plots, code, and the derived and processed data. The data analysis code (MATLAB 2022a*) used for unsupervised learning of cluster and compositional relationships is also included. The code employs principal component analysis for dimensionality reduction, learns the resulting datasets' latent dimensionality, and completes Gaussian mixture modeling and fuzzy c-means clustering.*Any mention of commercial products is for information only; it does not imply recommendation or endorsement by NIST.