These software are used to control an instrument that makes measurements and calculates calibration coefficients for NIST nanocalorimeters. Please cite the related paper "Practical Guide to the Design, Fabrication and Calibration of NIST Nanocalorimeters" by Feng Yi, Michael D. Grapes, and David A. LaVan in the Journal of Research of the National Institute of Standards and Technology, Volume 124 (in press).

These software are used to control an instrument that makes measurements and calculates calibration coefficients for NIST nanocalorimeters. Please cite the related paper "Practical Guide to the Design, Fabrication and Calibration of NIST Nanocalorimeters" by Feng Yi, Michael D. Grapes, and David A. LaVan in the Journal of Research of the National Institute of Standards and Technology, Volume 124 (in press).

3D Solid Model of NIST Nanocalorimeter created in Solidworks 2019. The files include an assembly of three layers represented as part files - the silicon die layer, the silicon nitride membrane layer and the platinum metal layer. Please cite the related paper "Practical Guide to the Design, Fabrication and Calibration of NIST Nanocalorimeters" by Feng Yi, Michael D. Grapes, and David A. LaVan in the Journal of Research of the National Institute of Standards and Technology, Volume 124 (in press).

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).

NaKnowBase 11202020 version submitted with Boyes et al., 2022. This dataset is associated with the following publication: Harten, P., H. Helgen, W. Melendez, B. Beach, W. Boyes, I. Sotiropoulos, P. Karatzas, H. Sarimveis , and H. Mortensen. Mining, refining, and QSAR analysing the nanoinformatics in EPA NaKnowBase. Environmental Science: Nano. Royal Society of Chemistry, Cambridge, UK, 2262-2274, (2024).

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 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).

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).

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).

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.