Geochemical Analysis of Bulk Dust and Human Respiratory Cells and Fluids in Research on Deployment-related Lung Injury

Multiple techniques including, x-ray diffraction, scanning electron microscopy, laser diffraction particle analysis, and inductively coupled plasma spectrometry, were used to characterize the morphology and composition of dust used for biological studies as well as lung tissue from rats, personnel deployed to Southwest Asia, and control samples. The data presented in this release are organized in the following structure: Child item 1: Geochemical and Morphological Characterization of Bulk Dust Used in MMP3 and GLIDE Experiments BulkDustCharacterization Table 1 XRD_final.csv BulkDustCharacterization Table 2 PSA_final.csv BulkDustCharacterization Table 3 ICP-OES-MS_final.csv BulkDustCharacterization Tables 1-2-3 Data Dictionary_final.csv BulkDustCharacterization SEM-EDS.zip: contains reports (.docx) of energy dispersive spectra from point analyses of dust from the seven samples and scanning electron images (TIFS) of the dust. Child item 2: Inductively Coupled Plasma Mass Spectrometry of Nasal Cells and Supernatants from Nasal Brushing and Bronchoalveolar Lavage NasalBronchoalevelar Table 1 ICP-MS QA-QC Samples.csv NasalBronchoalevelar Table 2 ICP-MS Samples.csv NasalBronchoalevelar Tables1-2 ICP-MS Data Dictionary.csv Child item 3: Scanning Electron Microscopy analysis of particles recovered from rat lung digestates RatLungDigestates Table 1 Particle Analysis of Rat Lung Digestates.csv RatLungDigestates Table 2 Rat Lung Digestates.csv RatLungDigestates Tables 1-2 Particle Analysis of Rat Lung Digestates Data Dictionary.csv Child Item 4: Scanning Electron Microscopy-E (SEM-EDS) and Inductively Coupled plasma mass spectrometry of particles recovered from deployer and control lung digestates LungDigestateParticles Table 1 ParticleData.csv LungDigestateParticles Table 2 SampleSummaries.csv LungDigestateParticles Table 3 ICPMS H2O2.csv LungDigestateParticles Table 4 ICPMS Particles.csv LungDigestateParticles Tables 1-2-3-4 Data Dictionary.csv

[
  "010:12"
]

[
  "geospatial"
]