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599 results for “Volatile”
The field measured size-dependent volatility of ambient fine particles at different heating temperatures and the retrieval of aerosol chemical composition
<p>This is the data used in the paper of “Qiao, X, R., Chen, L., Ren, J, Y., et al. The field measured size-dependent volatility of ambient fine particles at different heating temperatures and the retrieval of aerosol chemical composition. Journal of Geophysical Research - Atmospheres”.</p>
Chemical volatiles of hoopoes nest and secretions
<p>Some parasites use olfactory cues to detect their hosts and, since bacterial symbionts are partially responsible of animal odors, they could also determine parasitism of their hosts. By experimental manipulation of the microbiota of hoopoe (<em>Upupa epops</em>) nests before reproduction started, we explore the hypothetical links between symbiotic bacteria and volatiles, and between both of them and parasitism. We estimated level of ectoparasitism of chewing lice in females and of <em>Carnus haemapterus </em>flies in nestlings, characterized microbial communities (from nest materials and uropygial secretions), and volatile profiles (from nest environment and uropygial secretion) during the nestling stage. Nests with autoclaved nest material had less diverse bacterial communities, more diverse volatile-profiles, and their occupants experienced lower intensity of parasitism than those in control nests. The experiment also affected beta diversity of the microbial communities of nest material and volatiles of the nestling uropygial-secretions. Moreover, microbial communities of uropygial secretions and nest materials covaried with their volatile profiles, while the volatile profile of secretions explained nest odor. Finally, some of the volatiles and bacteria detected in the nest material and secretions were associated with ectoparasitism intensity of females and nestlings, and with fledging success. These results support the expected links between microbial communities and animal odors, and strongly suggest that the associations between symbiotic bacteria and both ectoparasitism and reproductive success are partially mediated by volatiles of bacterial origin. Future work should focus on mechanisms explaining the detected patterns.</p>
GC-MS Combined with Fast GC e-nose for the Analysis of Volatile Components of Chamomile (Matricaria chamomilla L.) - Supplementary Materials
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Plant responses to ramet density and herbivory under natural field conditions: Impacts on volatile organic compound emissions and seed production
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Dataset: Infrared Spectroscopy and Quadrupole Mass Spectrometry during Temperature Programmed Desorption of Mixed Hyper-volatile (CO, N2, Ar) and Amorphous Ices (H2O, CO2)
<p>IR spectra of H2O:CO and CO2:CO ices mixed at 2 concentrations (5:1 and 15:1) and grown to 7 thicknesses (50 to 3000 ML). Spectra are also included for a smaller set of H2O:N2, H2O:Ar, CO2:N2, and CO2:Ar ices. </p> <p>The files are .txt files, where the first column is wavenumber (cm-1) and the second is IR absorbance.</p> <p>QMS data taken during TPD of H2O:CO and CO2:CO ices mixed at 2 concentrations (5:1 and 15:1) and grown to 7 thicknesses (50 to 3000 ML). Data are also included for a smaller set of H2O:N2, H2O:Ar, CO2:N2, and CO2:Ar ices.</p> <p>Constructing TPD curves require 2 files for each ice, a .asc file and a .xls file. The .asc files contain the relative time (s) and ion count for many relevant m/z. The .xls files contain time (s) and temperature (K). Time from each file can be interpolated to produce ion count as a function of temperature.</p>
Data Supplement for: "Gradient dynamics model for drops of volatile liquid on a porous substrate"
<p>This dataset contains supplementary data for the following preprint:</p> <p>Hartmann, S. & Thiele, U.<br>Gradient dynamics model for drops of volatile liquid on a porous substrate.<br>(submitted 2024)</p> <p>We provide the data and sources necessary to generate all figures in the paper.</p> <p>The figures are built either with LaTeX/TikZ (Figure 1) or Python/Matplotlib (all other figures).<br>Each subfolder contains the full source code and data for one figure each.</p>
Secondary organic aerosol formation from smoldering and flaming combustion of biomass: a box model parametrization based on volatility basis set
<p>Here, we studied the aging of emissions from flaming and smoldering-dominated wood fires in three different residential stoves, across a wide range of aging temperatures (-10°C, 2°C and 15°C) and emission loads. Organic gases (OGs) acting as SOA precursors were monitored by a proton transfer reaction time-of-flight mass spectrometer (PTR-TOF-MS), while the evolution 10 of the aerosol properties during aging in the smog chamber was monitored by a high resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS). We developed a novel box model based on the volatility basis set (VBS) to determine the volatility distributions of the oxidation products from different precursor classes found in the emissions, grouped according to their emission pathways and SOA production rates.</p>
Dataset for "Sources of organic aerosols in Europe: A modelling study using CAMx with modified volatility basis set scheme"
<p>Model data for figures in the publication "Sources of organic aerosols in Europe: A modelling study using CAMx with modified volatility basis set scheme"</p> <p>Jiang, J., Aksoyoglu, S., El-Haddad, I., Ciarelli, G., Denier van der Gon, H. A. C., Canonaco, F., Gilardoni, S., Paglione, M., Minguillón, M. C., Favez, O., Zhang, Y., Marchand, N., Hao, L., Virtanen, A., Florou, K., O’Dowd, C., Ovadnevaite, J., Baltensperger, U., and Prévôt, A. S. H.: Sources of organic aerosols in Europe: A modelling study using CAMx with modified volatility basis set scheme, Atmos. Chem. Phys., 2019.</p> <p> All the data are stored in .mat file, and the variable names are self-explanatory.</p> <p> </p> <p> </p> <p> </p>
Ambient Volatile Organic Compounds from Masia Mariona site at the Montseny Natural Park, Barcelona, Spain
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Scented warnings: Exploring basil's volatile response to salt stress
<p>A Data Availability Statement</p>
FIGURE 3. Simplicillium coffeanum COAD 2057. A in Simplicillium coffeanum, a new endophytic species from Brazilian coffee plants, emitting antimicrobial volatiles
FIGURE 3. Simplicillium coffeanum COAD 2057. A, Host plant; B, colony; C, Colony reverse; D–F, Hypha, phialides and conidia. Scale bars = 10 μm
FIGURE 1 in Simplicillium coffeanum, a new endophytic species from Brazilian coffee plants, emitting antimicrobial volatiles
FIGURE 1. Bayesian Inference tree showing the phylogenetic relationship between Simplicillium coffeanum and closely taxa based on partial 28S rDNA sequences. The posterior probability values are indicated at the nodes. The isolates from this study are highlighted in bold. The tree is rooted with Ceratocystis moniliformis. Asterisks indicate the type strains.
FIGURE 2 in Simplicillium coffeanum, a new endophytic species from Brazilian coffee plants, emitting antimicrobial volatiles
FIGURE 2. Bayesian Inference tree of Simplicillium and closely Cordycipitaceae using ITS-5.8S sequences of rDNA. The posterior probability values are indicated at the nodes. The Simplicillium isolates from this study are highlighted in bold. The tree is rooted with Pochonia chlamydosporia. Asterisks indicate the type strains.
Plant-to-plant defence induction in cotton is mediated by delayed release of volatiles upon herbivory
<p>Data and R scripts for statistical analyses for the article <strong>"Plant-to-plant defence induction in cotton is mediated by delayed release of volatiles upon herbivory"</strong>.</p> <p>By: Luca Grandi, Wenfeng Ye, Mary V. Clancy, Armelle Vallat, Gaétan Glauser, Luis Abdala-Roberts, Thierry Brevault, Betty Benrey, Ted C.J. Turlings, Carlos Bustos-Segura</p> <p><strong>Summary:</strong></p> <p>· Caterpillar feeding immediately triggers the release of volatile compounds stored in the leaves of cotton plants. Additionally, after one day of herbivory, the leaves release other newly synthesised volatiles. We investigated whether these volatiles affect chemical defences in neighbouring plants and whether such temporal shifts in emissions matter for signalling between plants. </p> <p>· Undamaged receiver plants were exposed to volatiles from plants infested with <em>Spodoptera </em>caterpillars. For receiver plants, we measured changes in defence-related traits such as volatile emissions, secondary metabolites, phytohormones, gene expression, and caterpillar feeding preference. Then, we compared the effects of volatiles emitted prior to and after 24 h of damage on neighbouring plant defences. </p> <p>· Genes that were upregulated in receiver plants following exposure to volatiles from damaged plants were the same as those activated directly by herbivory on a plant. Only volatiles emitted after 24 h of damage, including newly produced volatiles, were found to increase phytohormone levels, upregulate defence genes, and enhance resistance to caterpillars.</p> <p>· These results indicate that the defence induction by volatiles is a specific response to <em>de novo</em> synthesised volatiles, suggesting that these compounds are honest signals of herbivore attack. These findings point to an adaptive origin of airborne signalling between plants.</p>
Extreme genomic volatility characterises the evolution of the immunoglobulin heavy chain locus in cyprinodontiform fishes
The evolution of the adaptive immune system has provided vertebrates with a uniquely sophisticated immune toolkit, enabling them to mount precise immune responses against a staggeringly diverse range of antigens. Like other vertebrates, teleost fishes possess a complex and functional adaptive immune system; however, our knowledge of the complex antigen-receptor genes underlying its functionality has been restricted to a small number of experimental and agricultural species, preventing a systematic investigation of how these crucial gene loci evolve. Here, we analyse the genomic structure of the immunoglobulin heavy chain (IGH) gene loci in the cyprinodontiforms, a diverse and important group of teleosts present in many different habitats across the world. We reconstruct the complete IGH loci of the turquoise killifish (Nothobranchius furzeri) and the southern platyfish (Xiphophorus maculatus) and analyse their in vivo gene expression, revealing the presence of species-specific splice isoforms of transmembrane IGHM. We further characterise the IGH constant regions of ten additional cyprinodontiform species, including guppy, amazon molly, mummichog and mangrove killifish. Phylogenetic analysis of these constant regions suggests multiple independent rounds of duplication and deletion of the teleost-specific antibody class IGHZ in the cyprinodontiform lineage, demonstrating the extreme volatility of IGH evolution. Focusing on the cyprinodontiforms as a model taxon for comparative evolutionary immunology, this work provides novel genomic resources for studying adaptive immunity and sheds light on the evolutionary history of the adaptive immune system.
Ryugu's observed volatile loss did not arise from impact heating alone
<p><strong>Descriptions of Supplementary Data</strong></p> <p> </p> <p><strong>File Name: </strong>Supplementary Data 1</p> <p><strong>Description: </strong>The data supporting Figure 1. The time variations of the ion currents. The selected mass number of each row is described in the top column.</p> <p> </p> <p><strong>File Name: </strong>Supplementary Data 2</p> <p><strong>Description: </strong>The data supporting Figure 4a. The cumulative mass at a given peak pressure as a function of the peak pressure. The key information of the calculation settings for each row is described in the top column.</p> <p> </p> <p><strong>File Name: </strong>Supplementary Data 3</p> <p><strong>Description: </strong>The data supporting Figure 4b. The same as panel (a), except the cumulative mass at a given entropy is shown as a function of entropy. The key information of the calculation settings for each row is described in the top column.</p>
The olfactory chemosensory responses of male Oriental fruit fly with drops of volatile organic compounds.
<p>The olfactory chemosensory responses of male Oriental fruit fly with a drop of the following VOCs; ethanol (at 0.30 min), methyl eugenol (at 1.39 min), ethanol (at 3.05 min), white holy basil oil (at 4.10 min), ethanol (at 5.20 min), methyl eugenol (at 6.30 min), ethanol (at 7.36 min), and white holy basil oil (at 8.36 min).</p>
Supplemental Material: Tectonic Deformation and Volatile Loss in the Formation of Noctis Labyrinthus, Mars
<p>Supplemental text and tables for pending publication</p>
Supplemental Material 2; Large Format Map: Tectonic Deformation and Volatile Loss in the Formation of Noctis Labyrinthus, Mars
<p>Large Format Map of Noctis Labyrinthus, Mars</p>
Measurement report: Springtime reactive Volatile Organic Compounds (VOCs) and impacts on ozone in urban areas of Yunnan-Guizhou Plateau, China: a PTR-TOF-MS study
<p>Time-varying sequence and day-to-day concentration after treatment. It includes 18 observed major VOCs [acetaldehyde, 2-acrolein, acetone, methyl ethyl ketone (MEK), methyl vinyl ketone (MVK), methacrolein (MACR), methyl isobutyl ketone (MIK), 2-pentanone, ethyl acetate, isoprene, α-pinene, benzene, toluene, styrene, C8 aromatic hydrocarbons, C9 aromatic hydrocarbons, 1,3-dichlorobenzene, naphthalene, and acetonitrile].</p>
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OpenNeuro
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