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In addition, the project involved optical property calculations for particles as geometric shapes with volumes equivalent to those of the MLO particles. Shapes modeled for each particle included spheres, spheroids, ellipsoids, cubes, square prisms, rectangular prisms, tetrahedra, and triangular pyramids. The representation of particles as geometric shapes is an important component of algorithms used in remote sensing (satellite-based and ground-based) for determining how atmospheric dust affects climate. \n\n\nThe dataset consists of Microsoft Excel and Word files, text files, and bitmap image files. The Asian dust particles in the dataset are labeled: CaMg 1D, CaMg 2N, CaMg 3D, CaMg 4N1, Ca-rich 1D, Ca-rich 2N, Ca-rich 3D, Ca-rich 4N1, Ca-rich 4N2. The background marine air particles are labeled: Ca-S 1D, Ca-S 2N, Ca-S 3D, Ca-S 4N.\n\n\nData are contained in seven folders arranged by the following topics:\n\n\n1 -- Particle compositions by FIB-SEM-EDX and volumes of material phases within particles (folder: 1_Particle_Compositions_Volumes);\n2 -- Spatial and optical parameters for optical modeling of particles and geometric shapes (folder: 2_Particles_Shapes_Spatial_Optical_Parameters (and subfolders));\n3 -- Complex refractive indices for particles and shapes based on Maxwell Garnett average dielectric function (folder: 3_Complex_RIs_Maxwell_Garnett (and subfolders));\n4 -- Results from discrete dipole approximation modeling software DDSCAT ver. 7.3 (folder: 4_DDSCAT_Scattering_Output (and subfolders));\n5 -- Mueller scattering matrix elements (folder: 5_Matrix_Elements (and subfolders));\n6 -- Root-mean-square calculations for phase function and degree of linear polarization (folder: 6_PhaseFunction_LinearPolarization_RMS);\n7 -- Calculations for the backscatter fraction (folder: 7_Backscatter_Fraction)","distribution":[{"accessURL":"https://doi.org/10.18434/M32263","title":"DOI Access for Optical Modeling of Single Asian Dust and Marine Air Particles: A Comparison with Geometric Particle Shapes for Remote Sensing"},{"downloadURL":"https://data.nist.gov/od/ds/ark:/88434/mds2-2263/Dataset_Catalog.pdf","mediaType":"application/pdf"},{"downloadURL":"https://data.nist.gov/od/ds/ark:/88434/mds2-2263/Dataset_Catalog.pdf.sha256","mediaType":"text/plain"},{"downloadURL":"https://data.nist.gov/od/ds/ark:/88434/mds2-2263/NISTdataset_ModelingSingleAsianDustParticlesAndGeometricShapes.zip","mediaType":"application/zip"},{"downloadURL":"https://data.nist.gov/od/ds/ark:/88434/mds2-2263/NISTdataset_ModelingSingleAsianDustParticlesAndGeometricShapes.zip.sha256","mediaType":"text/plain"}],"identifier":"ark:/88434/mds2-2263","issued":"2020-07-20","keyword":["Asian dust","EDX","FIB-SEM","atmospheric aerosol","climate change","discrete dipole approximation method","energy-dispersive X-ray spectroscopy","environment and climate","focused ion-beam scanning electron microscopy","focused ion-beam tomography","light absorption","light scattering","optical property modeling","radiative forcing"],"landingPage":"https://data.nist.gov/od/id/mds2-2263","language":["en"],"license":"https://www.nist.gov/open/license","modified":"2020-05-11 00:00:00","programCode":["006:045"],"publisher":{"@type":"org:Organization","name":"National Institute of Standards and Technology"},"references":["https://doi.org/10.1016/j.jqsrt.2020.107197"],"theme":["Environment:Air / water / soil quality","Environment:Environmental health","Physics:Optical physics","Physics:Spectroscopy"],"title":"Optical Modeling of Single Asian Dust and Marine Air Particles: A Comparison with Geometric Particle Shapes for Remote Sensing"},"description":"The project that produced these data involved the analysis and modeling of atmospheric Asian dust particles and background marine air particles collected in Hawaii, USA at the Mauna Loa Observatory (MLO) of the National Oceanic and Atmospheric Administration. 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Known amounts of EC and OC were deposited onto a quartz-fiber filter and analyzed with different temperature protocols.  Results with the NIST-EPA-C temperature protocol agreed with the reference values to better than 2 % for EC, OC, total carbon (TC), and EC/TC. Uncertainty in TC among all temperature protocols was less than 5 % of the reference value while all protocols had EC/TC ratios with an uncertainty less than 10 %.","distribution":[{"accessURL":"https://doi.org/10.18434/M32261","title":"DOI Access for Evaluation of Thermal Optical Analysis Using an Aqueous Binary Mixture"},{"description":"The Excel file contains carbon concentrations from quartz fiber filters as micrograms of carbon per square centimeter of filter material. 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Results with the NIST-EPA-C temperature protocol agreed with the reference values to better than 2 % for EC, OC, total carbon (TC), and EC/TC. 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NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/infectious-disease/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data.\n\n\u2022 Notices, errata, and other notes are available in the Notice To Data Users page https://www.cdc.gov/nndss/infectious-disease/notice-to-data-users.html.\n\n\u2022 The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. 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