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Isotope ratio mass spectrometry (IRMS) and spectroscopic techniques for microplastic characterization
The IRMS data set contains average d13c value comparisons of various polymer types. FTIR and micro-Raman spectroscopy data is also included that characterizes all collected samples. 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. Isotope ratio mass spectrometry and spectroscopic techniques for microplastics characterization. TALANTA. Elsevier Science Ltd, New York, NY, USA, 224: 121743, (2021).
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Isotope ratio mass spectrometry (IRMS) and spectroscopic techniques for microplastic characterization
공공데이터포털
The IRMS data set contains average d13c value comparisons of various polymer types. FTIR and micro-Raman spectroscopy data is also included that characterizes all collected samples. 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. Isotope ratio mass spectrometry and spectroscopic techniques for microplastics characterization. TALANTA. Elsevier Science Ltd, New York, NY, USA, 224: 121743, (2021).
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.
Karna Particle Size Dataset for Tables and Figures
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This dataset contains 1) table of bulk Pb-XAS LCF results, 2) table of bulk As-XAS LCF results, 3) figure data of particle size distribution, and 4) figure data for the relationship of As and Pb %IVBA in the <250 µm sieved size fraction vs sieved <250 µm to >150 µm, <150 µm to >75 µm, <75 µm to >38 µm, and <38 µm; and <250 µm ground, and <150 µm sieved and ground. This dataset is associated with the following publication: Karna, R., M. Noerpel, A. Betts, and K. Scheckel. Lead and Arsenic Bioaccessibility and Speciation as a Function of Soil Particle Size. Emmanuel Doelsch JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 46(6): 1225-1235, (2017).
Ionic Fluorogel Targeted and NTA Data
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Raw data (peak area and height, retention time) for each for each sample and 21 PFAS analytes. The targeted triplicate samples are MB_11A, MB_11B, and MB_11C at time points 0 min, 30 min, 2 hr, 4 hr, and 24 hr. Raw data (masses and peak areas) for non-targeted analysis of resin extracts. This dataset is associated with the following publication: Manning, I.M., N. Guan Pin Chew, H.P. Macdonald, K. Miller, M. Strynar, O. Coronell, and F.A. Leibfarth. Hydrolytically Stable Ionic Fluorogels for High-Performance Remediation of Per- and Polyfluoroalkyl Substances (PFAS) from Natural Water. Angewandte Chemie. John Wiley & Sons, Inc., Hoboken, NJ, USA, 61(41): e202208150, (2022).
PFECA Isomers QQQ Method Dev Data
공공데이터포털
Raw data (peak area and height, retention time) for each mass transition for each sample. This dataset is associated with the following publication: Miller, K., and M. Strynar. Improved Tandem Mass Spectrometry Detection and Resolution of Low Molecular Weight Perfluoroalkyl Ether Carboxylic Acid Isomers. Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 9(9): 747-751, (2022).
Diffraction data for SRM 1979
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These datasets are the high-resolution data collected at the APS 11-BM synchrotron beamline, and used to certify the microstructural characteristics of the two components (15 nm and 60 nm nominal microscrystallites) of SRM 1979. They are presented as CIF files containing the data as collected and processed by the 11BM software to make uniformly-spaced angle step data files. Each CIF contains the 'raw' data from 11BM, the same data with an angular scale corrected by refinement of SRM660c data collected in the same run, and finally a computed data set from a Rietveld structural fit to the results. There are 9 CIF files in the ZIP archive. Each file is names xxxx_yy_nm_zzz.cif where xxxx is the run number at APS under which the data were collected, yy is either 15 or 60 for the nominal crystallite size, and zzz is the bottle number form the random sampling of the SRM used to take this measurement.
Diffraction data for SRM 1979
공공데이터포털
These datasets are the high-resolution data collected at the APS 11-BM synchrotron beamline, and used to certify the microstructural characteristics of the two components (15 nm and 60 nm nominal microscrystallites) of SRM 1979. They are presented as CIF files containing the data as collected and processed by the 11BM software to make uniformly-spaced angle step data files. Each CIF contains the 'raw' data from 11BM, the same data with an angular scale corrected by refinement of SRM660c data collected in the same run, and finally a computed data set from a Rietveld structural fit to the results. There are 9 CIF files in the ZIP archive. Each file is names xxxx_yy_nm_zzz.cif where xxxx is the run number at APS under which the data were collected, yy is either 15 or 60 for the nominal crystallite size, and zzz is the bottle number form the random sampling of the SRM used to take this measurement.
Variability of Microcystin-LR Standards Available from Seven Commercial Vendors
공공데이터포털
Analytical chemistry and toxicological assessment of microcystin-LR toxin standards from seven vendors; a comparison of mass, purity and toxicity based on label mass. This dataset is associated with the following publication: Lang, J., D. Jenkins-Hill, N. Chernoff, J. Schmid, M. Strynar, J. McCord, C. Rosal, and T.L. Thanh. Variability of Microcystin-LR Standards Available from Seven Commercial Vendors. Toxins. MDPI, Basel, SWITZERLAND, 14(10): 705, (2022).