The dataset documents results from testing of 1) vendor-supplied reference materials 2) NIST-traceable polysidperse glass bead reference materials 3) mixtures of commercially-available glass beads 4) mixtures of internal reference materials prepared from geologic material

These four data files contain datasets from an interlaboratory comparison that characterized a polydisperse five-population bead dispersion in water. A more detailed version of this description is available in the ReadMe file (PdP-ILC_datasets_ReadMe_v1.txt), which also includes definitions of abbreviations used in the data files. Paired samples were evaluated, so the datasets are organized as pairs associated with a randomly assigned laboratory number. The datasets are organized in the files by instrument type: PTA (particle tracking analysis), RMM (resonant mass measurement), ESZ (electrical sensing zone), and OTH (other techniques not covered in the three largest groups, including holographic particle characterization, laser diffraction, flow imaging, and flow cytometry). In the OTH group, the specific instrument type for each dataset is noted. Each instrument type (PTA, RMM, ESZ, OTH) has a dedicated file. Included in the data files for each dataset are: (1) the cumulative particle number concentration (PNC, (1/mL)); (2) the concentration distribution density (CDD, (1/mL·nm)) based upon five bins centered at each particle population peak diameter; (3) the CDD in higher resolution, varied-width bins. The lower-diameter bin edge (µm) is given for (2) and (3). Additionally, the PTA, RMM, and ESZ files each contain unweighted mean cumulative particle number concentrations and concentration distribution densities calculated from all datasets reporting values. The associated standard deviations and standard errors of the mean are also given. In the OTH file, the means and standard deviations were calculated using only data from one of the sub-groups (holographic particle characterization) that had n = 3 paired datasets. Where necessary, datasets not using the common bin resolutions are noted (PTA, OTH groups). The data contained here are presented and discussed in a manuscript to be submitted to the Journal of Pharmaceutical Sciences and presented as part of that scientific record.

The dataset documents results from particle size analysis (PSA) and portable X-ray fluorescence (pXRF) analysis conducted on a suite of sediment samples from U.S. Army Base Fort Drum, Jefferson County, New York. Samples denoted by "FD24-Sed" were collected to obtain representative samples of surficial geologic map units, and samples denoted by "FTD-WS-MW" were collected during a collaborative vibrasonic coring campaign with contractors as part of a Fort Drum Environmental Division project. Laboratory work was conducted using sediment analysis instrumentation housed in the Bascom Laser Diffraction Sedimentology Laboratory at the U.S. Geological Survey in Reston, Virginia. Samples were first wet sieved at #230 mesh (63 µm) to determine relative percentages of fine and coarse material. PSA was conducted using dry sieve analysis for samples mainly comprised of coarse material (i.e., sands); several samples were sieved at 1/4 phi intervals for investigative purposes while the remaining samples were sieved at 1/2 phi intervals for general classification. The remaining (finer) samples underwent laser diffraction PSA using a Beckman Coulter LS 13 320 XR particle size analyzer. pXRF analysis was conducted on representative subsamples from each original (unprocessed) sample using a Bruker S1 Titan instrument. This work is a collaboration with the Fort Drum Environmental Division and was funded by the National Cooperative Geologic Mapping Program.

The data from this instrument consists of sets of measurements of Xray intensity as a function of diffraction angle. Almost all of it is collected using a position-sensitive detector (PSD), and is stored in CIF format.

This dataset contains information from investigating the effects of micro-computed tomographic imaging irradiation on vinyl nitrile foam and code for a finite element user material to model these effects. More details are available in the README.txt and data_summary.txt files in the main directory.Data in the repository includes exposure and dosage calibration files (.csv, .dat, .mat, .in, .png. .jpg), imaging data from optical microscopy (.tif, .zvi) and scanning electron microscopy with energy-dispersive spectroscopy (SEM EDS) (.tif, .png, .docx). Also included is characterization data from differential scanning calorimetry (DSC) with metadata (.tprc, .tseq), test data (.tri, .csv) and analysis metadata and data (.py, .m, .tri, .xls, .xlsx, .pdf), characterization results data via dynamic mechanical analysis (DMA) and stress relaxation (SR) with metadata (.tprc, .csv), test data (.tri, .csv) and analysis metadata and data (.py, .m, .tri, .xls, .xlsx, .pdf). Data from characterization via differential scanning calorimetry metadata (.tprc, .tseq), test data (.tri, .csv) and analysis metadata and data (.py, .m, .tri, .xls, .xlsx, .pdf). Data from characterization via Fourier transform infrared spectroscopy (FTIR) generates metadata (.spa, .csv, .exp), test data (.spa, .csv) and analysis metadata and data (.xls, .csv, .pdf), and data from Soxhlet extraction (.xlsx). Each test type includes textual descriptions (.txt) and/or photographs (typically .jpg) to aid in completeness, describe measurands and measurement uncertainties, and explain the file organization. A .zip file containing code for a calibrated finite element user material for mechanical model that includes radiation and temperature effects is also included in the main directory. Please contact the authors with any questions.This dataset consists of approximately 335 files that require ca. 605 MB of storage.

This dataset contains single-particle aerosol composition as measured by the Particle Analysis by Laser Mass Spectrometry (PALMS) instrument during the four ATom campaigns from 2016-2018. Single aerosol particles are classified into several particle types, including: mixed sulfate/organic nitrate, biomass burning, elemental carbon, mineral/metallic, meteoric material, alkali salt, sea salt, heavy oil combustion, and others. Particle types are reported as raw number fractions and as absolute mass concentrations. PALMS measures aerosol composition for particles from diameter ~100 to 5000 nm, with most of the particle data in the size range ~150 to 3000 nm. Also included are absolute aerosol concentrations measured by a modified Laser Aerosol Spectrometer (LAS). Integrated number, surface area, and volume concentrations from LAS are reported over multiple size ranges.

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. Individual heterogeneous dust particles were analyzed with focused ion-beam scanning electron microscopy and energy-dispersive X-ray spectroscopy. Three-dimensional spatial and composition models of the particles from focused ion-beam tomography were used in the calculation of optical properties by the discrete dipole approximation method with incident light at 589 nm. Optical properties included the phase function, extent of linear polarization, scattering, backscattering, and extinction cross sections, and the backscatter fraction. 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. The 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. Data are contained in seven folders arranged by the following topics: 1 -- Particle compositions by FIB-SEM-EDX and volumes of material phases within particles (folder: 1_Particle_Compositions_Volumes); 2 -- Spatial and optical parameters for optical modeling of particles and geometric shapes (folder: 2_Particles_Shapes_Spatial_Optical_Parameters (and subfolders)); 3 -- Complex refractive indices for particles and shapes based on Maxwell Garnett average dielectric function (folder: 3_Complex_RIs_Maxwell_Garnett (and subfolders)); 4 -- Results from discrete dipole approximation modeling software DDSCAT ver. 7.3 (folder: 4_DDSCAT_Scattering_Output (and subfolders)); 5 -- Mueller scattering matrix elements (folder: 5_Matrix_Elements (and subfolders)); 6 -- Root-mean-square calculations for phase function and degree of linear polarization (folder: 6_PhaseFunction_LinearPolarization_RMS); 7 -- Calculations for the backscatter fraction (folder: 7_Backscatter_Fraction)