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Legends, Methods and Supplementary data files.
The meta data for the tables and figures are described in the Legends, Methods and Supplementary data files. This dataset is associated with the following publication: Surette, M., D.M. Mitrano, and K. Rogers. Extraction and Concentration of Nanoplastic Particles from Aqueous Suspensions using Functionalized Magnetic Nanoparticles and a Magnetic Flow Cell. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,
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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.
Meta Data Version 1
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Data that was used to construct the table and figures associated with the manuscript. This dataset is associated with the following publication: Peloquin, D.M., E.J. Baumann Jr., and T.P. Luxton. Multi-method assessment of PVP-coated silver nanoparticles and artificial sweat mixtures (journal). CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 249: 126173, (2020).
Microplastics in urban watersheds
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The data set contains a summary of literature sources involving microplastics in urban watersheds. This This primarily deals with aqueous phase and sediments from freshwater systems, along with influent and effluent from wastewater treatment plants. This dataset is not publicly accessible because: There are no data associated with this review paper. It can be accessed through the following means: N/A. Format: This is a review article. There are no data associated with the entry. This dataset is associated with the following publication: Birch, Q.T., P.M. Potter, P.X. Pinto, D.D. Dionysiou, and S.R. Al-Abed. Sources, transport, measurement, and impact of nano and microplastics in urban watersheds. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 19: 275-336, (2020).
Global Marine Microplastics Database 1972 to Present
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The NOAA NCEI global Marine Microplastics product provides access to aggregated, comprehensive, standardized, quality controlled, global data on microplastics in marine settings, from 1972-Present. The database contains information on microplastics concentrations (reported in units based on marine setting - pieces/m3, pieces/10 mins, or pieces kg-1 d.w.), date of collection, latitude and longitude where data was collected, sampling instruments used for collection, and links to publications on the data. The information in this database can be used to improve water quality and protect the ecosystem, especially coastal ecological habitats such as salt marshes and mangrove forests that help recycle nutrients, serve as breeding grounds for fingerlings, and permanent homes for oysters and other coastal marine wildlife.
Moore Institute for Plastic Pollution Research - Microplastics in Drinking Water From Accredited Labs
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**Alpha Version Data** (has undergone several rounds of internal review from the Moore Institute and is ready for external review) This mock dataset is part of the [Microplastics Data Portal](https://github.com/Moore-Institute-4-Plastic-Pollution-Res/Microplastic_Data_Portal) and is intended to eventually serve as the data shared by state-accredited labs for microplastics in drinking water. It was created by discussions with domain experts. Data comes with a template with mock data entry and a rules file that can be used to validate the data using the [Data Validation Portal](https://wincowger.shinyapps.io/validate/).
ENM final
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The data is the total number of manuscripts that were evaluated in each category. The data helped develop figure 2 and 3. This dataset is associated with the following publication: Tolaymat , T., A. El Badawy, A. Genaidy, W. Abdelraheem, and R. Sequeira. Analysis of Metallic and Metal Oxide Nanomaterial Environmental Emissions. J.Klemes and R. Lozano JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 143: 401-412, (2017).
ENM final
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The data is the total number of manuscripts that were evaluated in each category. The data helped develop figure 2 and 3. This dataset is associated with the following publication: Tolaymat , T., A. El Badawy, A. Genaidy, W. Abdelraheem, and R. Sequeira. Analysis of Metallic and Metal Oxide Nanomaterial Environmental Emissions. J.Klemes and R. Lozano JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 143: 401-412, (2017).
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).
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).