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478 results for “Sulfur”
Data for manuscript "Prominent Role of Sulfate Reduction in Robust Sulfur Retention in Subtropical Soil"
<p>Data for manuscript "Prominent Role of Sulfate Reduction in Robust Sulfur Retention in Subtropical Soil" submitted to Geophysical Research Letters</p>
Mechanisms of the reaction of elemental sulfur and polysulfides with cyanide and phosphines
<p>Gaussian 16 output files for all computed structures for "<strong>Mechanisms of the reaction of elemental sulfur and polysulfides with cyanide and phosphines</strong>".</p> <p><em>Chemistry - A European Journal, <strong>2023</strong>, </em>e202203906. DOI: 10.1002/chem.202203906</p>
Data from: Sulfur isotopic discrimination factors differ among avian tissues and diets: Insights from a case study in Gentoo Penguins (Pygoscelis papua)
<p>The use of stable isotopes of sulfur (δ<sup>34</sup>S) to infer avian diets, foraging habitats, and movements is relatively uncommon, resulting in a lack of information on patterns of δ<sup>34</sup>S incorporation in avian tissue. In a controlled study of Gentoo Penguins (<em>Pygoscelis</em> <em>papua</em>), we found that diet-tissue isotopic discrimination factors (Δ<sup>34</sup>S<sub>diet-tissue</sub>) differed among egg components and feathers synthesized from a common diet, ranging from -0.4 to -1.7 ‰. We also found that methodical choices such as lipid extraction and prey tissue selection influenced calculated Δ<sup>34</sup>S<sub>diet-tissue</sub> values. Specifically, Δ<sup>34</sup>S<sub>diet-tissue</sub> values were lower (i.e., more negative) when calculated using whole fish relative to fish muscle and lipid-extraction biased egg yolk, but not fish tissue, δ<sup>34</sup>S values. Δ<sup>34</sup>S<sub>diet-tissue</sub> values obtained for Gentoo Penguins fed a marine fish diet were generally lower than those reported for freshwater-fish-consuming Double-crested Cormorants (<em>Phalacrocorax</em> <em>auritus</em>), the only other bird species in which Δ<sup>34</sup>S<sub>diet-tissue</sub> has been quantified. We found support for the hypothesis that tissue Δ<sup>34</sup>S<sub>diet-tissue</sub> values are inversely related to dietary δ<sup>34</sup>S values in birds, similar to what has been observed in mammals. Given<span> this relationship, the discrimination factors reported here for </span>Gentoo Penguins <span>may be broadly applicable to other avian species with a similar marine diet.</span> Finally, we provide recommendations for future studies seeking to quantify Δ<sup>34</sup>S<sub>diet-tissue</sub> in avian tissues and guidance to allow for greater application of sulfur stable isotope analysis in ornithological research.</p>
Products and Models for "Volatile-to-sulfur Ratios Can Recover a Gas Giant's Accretion History"
<p>The newfound ability to detect SO2 in exoplanet atmospheres and presents an opportunity to measure sulfur abundances and so directly test between competing modes of planet formation. To explore the detectability of SO2 in<br> transmission spectra and its ability to diagnose planet formation, we present a grid of atmospheric photochemical models and corresponding synthetic spectra for WASP-39b (where SO2 has recently been detected). Our grid contains 2,662 model atmospheres: spanning 1-100x the solar abundance ratios of C, O, and S (11^3 combinations of abundances) and for two thermal profiles: corresponding to the morning and evening terminators. We also provide 3,993 synthetic spectra: one for each of the morning and evening terminators, plus a set of spectra that are the<br> mean of the morning and evening spectra (corresponding to the transmission spectrum that would be observed during transit).</p> <p>If you use these files, please cite Crossfield (2023).</p> <p> </p> <p>The transmission spectra are simple two-column CSV files -- wavelength in microns, and transit depth. The model atmospheres are in Python pickle format, and are the standard output of the VULCAN photochemistry code. The several data sets are:</p> <ul> <li>wasp39_mean_spectra.tar.gz -- average terminator spectra. <strong>Use this for comparing to full-transit observations.</strong></li> <li>wasp39_morning_spectra.tar.gz -- spectra corresponding to the morning-terminator models.</li> <li>wasp39_evening_spectra.tar.gz -- spectra corresponding to the evening-terminator models.</li> <li>wasp39_evening_profiles.tar.gz -- model atmospheres and chemical profiles for the evening-terminator thermal profile.</li> <li>wasp39_morning_profiles.tar.gz -- model atmospheres and chemical profiles for the morning-terminator thermal profile.</li> </ul> <p>All filenames are of the form</p> <p>wasp39b_tsai23-Kzz_SNCHO_10x_z83_C7.5_N10.0_O100.0_S18.0__morn_transmission.csv</p> <ul> <li>wasp39b -- planet name</li> <li>tsai23-Kzz -- using Kzz (eddy diffusion) profile from Tsai et al. (2023)</li> <li>SNCHO -- using the VULCAN code's SNCHO chemistry network</li> <li>10x -- all elements (aside from SNCHO) are set to 10x Solar abundances</li> <li>z83 -- zenith angle set to 83 degrees</li> <li>C7.5 -- the scaling of the Carbon abundance relative to Solar; in this case, 7.5x</li> <li>N10.0 -- the scaling of the Nitrogren abundance relative to Solar (10x for all models)</li> <li>O100.0 -- the scaling of the Oxygen abundance relative to Solar; in this case, 100x</li> <li>S18.0 -- the scaling of the Sulfur abundance relative to Solar; in this case, 18x</li> <li>morn -- morning terminator thermal profile, from Tsai et al. (2023). Options are 'morn', 'eve', 'morn-eve-mean'</li> <li>transmission.csv -- indicates a transmission spectrum file. Other option is 'vulcan-output.vul'</li> </ul> <p> </p>
Lichens as bioindicators of monitoring of the selective air pollution, Zabrze (Poland) - total carbon (TC) and total sulfur (TS) results.
<p>Total carbon (TC) and total sulfur (TS) contents were measured using an Eltra CS-500 IR-analyzer with a TIC module. TC was determined using an infrared cell detector on CO2 gas, which was evolved by combustion under an oxygen atmosphere. Calibration was made by means of the Eltra standards 2.27 % S and 45.14 % C. <br> Dr Ewa Szram, employed at the Institute of Earth Sciences, Faculty of Natural Sciences, Silesian University in Katowice, carried out the project. This research was funded by the National Science Centre, Poland MINIATURA-6 2022/06/X/ST10/00338 “Lichens as bioindicators of monitoring of the selective air pollution”</p>
Sulfur Amino Acids, Energy Metabolism and Obesity
ClinicalTrials.gov study NCT04701346. IPD Sharing: NO. Countries: 1. Publications: 3.
Data from: Stability assessment of organic sulfur and organosulfate compounds in filter samples for quantification by Fourier Transform-Infrared Spectroscopy and Ion Chromatography
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Data from: Susceptibility of <em>Rhipicehalus (Boophilus) microplus</em> (Acari: Ixodidae) to sulfur and copper nanoparticles
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Reactivating PTEN to impair glioma stem cells by inhibiting cytosolic iron-sulfur assembly pathway
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Data from: Sulfur isotopic discrimination factors differ among avian tissues and diets: Insights from a case study in Gentoo Penguins (Pygoscelis papua)
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Low molecular weight reduced sulfur substances: a major component of non-volatile dissolved organic sulfur in the Pacific Ocean
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Data from: High-yielding corn response to applied phosphorus, potassium, and sulfur in Nebraska
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Significance of the terrestrial sink in the biogeochemical sulfur cycle
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A sensitive method for atmospheric sulfur dioxide determination by reaction cell inductively coupled plasma mass spectrometer
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Eddy flux measurements and transfer velocities of momentum, sensible heat, water vapor, and sulfur dioxide at Scripps Pier
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Kellogg Biological Station site, station NADP Station MI26, Kellogg Biological Station, MI, study of sulfur from sulfate in precipitation (volume-weighted concentration) in units of milligramsPerLiter on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains sulfur from sulfate in precipitation (volume-weighted concentration) measurements in milligramsPerLiter units and were aggregated to a monthly timescale.
Kellogg Biological Station site, station NADP Station MI26, Kellogg Biological Station, MI, study of sulfur from sulfate in precipitation (volume-weighted concentration) in units of milligramsPerLiter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains sulfur from sulfate in precipitation (volume-weighted concentration) measurements in milligramsPerLiter units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station NADP Station MI26, Kellogg Biological Station, MI, study of sulfur from sulfate in wet deposition in units of kilogramsPerHectare on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains sulfur from sulfate in wet deposition measurements in kilogramsPerHectare units and were aggregated to a monthly timescale.
Kellogg Biological Station site, station NADP Station MI26, Kellogg Biological Station, MI, study of sulfur from sulfate in wet deposition in units of kilogramsPerHectare on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains sulfur from sulfate in wet deposition measurements in kilogramsPerHectare units and were aggregated to a yearly timescale.
Konza Prairie site, station NADP Station KS31, Konza Prairie, KS, study of sulfur from sulfate in precipitation (volume-weighted concentration) in units of milligramsPerLiter on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Konza Prairie (KNZ) contains sulfur from sulfate in precipitation (volume-weighted concentration) measurements in milligramsPerLiter units and were aggregated to a monthly timescale.
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