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478 results for “sulfur”

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zenodo52/100

Concentration of gaseous sulfuric acid measured over the Southern Ocean in the austral summer of 2016/2017, during the Antarctic Circumnavigation Expedition (ACE).

<p><strong>Dataset abstract</strong></p> <p>The authors would highly appreciate being contacted if the data is used for any purpose.</p> <p>We measured sulfuric acid concentration in the gas phase with a nitrate chemical ionization mass spectrometer (we used an APi-HTOF mass spectrometer produced by Tofwerk AG coupled with a Chemical ionization inlet A70 produced by Airmodus). Sulfuric acid is detected in the mass spectrometer either as a deprotonated ion or as a cluster with the reagent ion (NO3-). The concentration is calculated as the area of these two peaks normalized to the concentration of the reagent ions (monomer, dimer and trimer) and multiplied by a calibration factor that was experimentally derived at Paul Scherrer Institute in the summer 2017, after the campaign. In the atmosphere, sulfuric acid is produced by the oxidation of sulfur dioxide that could have both a natural or anthropogenic origin (e.g. phytoplankton emission or fossil fuel combustion). Sulfuric acid in the atmosphere is responsible for a very large fraction of the newly formed particles, therefore it is important to have accurate measurements of this vapour in remote places like the Southern Ocean to better understand secondary aerosol sources and processes.</p> <p>The data have been cleaned from the influence of the exhaust of the research vessel. Temporal coverage is from January 22, 2017 to March 19, 2017. There are no data for the first leg of the expedition because the instrument was not on the ship. The instrument was operated during leg 4 but data has not been processed yet as they require additional work due to some instrumental issues that affects their quality. Data were collected with one-second time resolution but integrated to five minutes to increase the signal to noise ratio.</p> <p>Concentrations are reported as molecules per cubic centimeter. The lower limit of detection is in the ppq (part per quadrillion) range but was not determined exactly as it varies with the integration time and background noise.</p> <p><strong>Dataset contents</strong></p> <ul> <li>gas_sulfuric_acid_concentration_data.csv, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text format</li> <li>README.txt, metadata, text format</li> <li>change_log.txt, metadata, text format</li> </ul> <p>Data that were missing or bad because of instrumental problems were simply removed from the file (no entry).</p> <p><strong>Change log</strong></p> <p>v1.1 - data files updated</p> <ul> <li>re-analysis of the raw data with an improved mass spectra peak fitting routine, a different calibration factor was also applied to the data following a more detailed analysis of the calibration experiment</li> <li>use updated, corrected GPS data</li> </ul> <p>v1.0 - initial release of dataset</p>

opencc-by-4.0Aug 2019View details →
zenodo52/100

Dataset of "Glue-assisted Exfoliation of Two-dimensional Sulfur-rich Niobium Thiophosphate (Nb4P2S21) for Sulfur-equivalent Electrode Study in Lithium Storage"

<p>Two-dimensional (2D) layered thiophosphates have garnered attention for advanced batteries due to their open ionic diffusion channels, high capacity, and unique catalytic properties. However, their potential in energy storage applications remains largely unexplored. In this study, we report for the first time a 2D transition metal thiophosphate (Nb4P2S21) with high sulfur content. Nb4P2S21, synthesized via chemical vapor transport (CVT), is treated as a sulfur-equivalent material with better conductivity than sulfur, suitable for high-capacity lithium storage. The bulk material can be delaminated into high-quality nanoplates via glue-assisted grinding exfoliation, both displaying a layered quasi-one-dimensional (quasi-1D) morphology, which shortens the ion diffusion path and promises enhanced rate performance compared to larger lateral 2D materials. Density functional theory (DFT) calculations indicate that Nb4P2S21 has a direct bandgap of 1.64 eV (HSE06 method), with exfoliated counterparts showing near-infrared (NIR) photoluminescence at 755 nm, broadening potential applications to NIR-based devices. By tuning the working voltage window for lithium-ion batteries (LIBs) and controlling lithiation product formation, the material exhibits distinct electrochemical characteristics at 0 ~ 2.6 V, 0.5 ~ 2.6 V, 1.0 ~ 2.6 V, and 1.5 ~ 2.6 V. However, sulfur-rich electrodes in carbonate electrolytes demonstrate limited electrochemical potential due to polysulfide formation, leading to detrimental side reactions with carbonate-based electrolytes. Transitioning to ether-based electrolytes improves the initial reversible capacity and Coulombic efficiency of Nb4P2S21 by stabilizing the formed polysulfides. Despite this improvement, the material still mirrors the shuttle effect in lithium-sulfur batteries, diminishing active sulfur and undermining battery integrity. Further EDS and TOF-SIMS analyses of post-cycled electrode materials show significant sulfur loss and precipitation within the electrodes, exacerbating the shuttle effect and causing battery failure. Implementing strategies used in lithium-sulfur batteries, such as introducing polar host catalysts, could enhance the potential of these materials.</p>

opencc-by-4.0Jun 2024View details →
edi52/100

Sulfate Concentrations and Sulfur Stable Isotope Ratios in Surface Water from the Marlborough and Waipara Winegrowing Regions, South Island of New Zealand, 2023

Agricultural sulfur (S) additions are a major anthropogenic source of S to the environment, yet our understanding of the downstream transformations and potential environmental consequences of these S inputs remains incomplete. This dataset includes surface water samples from the Marlborough and Waipara winegrowing regions of the South Island of New Zealand, where frequent applications of S fungicide are widespread. Samples were analyzed for sulfate concentration and S stable isotope ratios – the combination of which forms the S “fingerprint”. We collected surface water samples during the winter of 2023 from a variety of different locations and land use types, including vineyards, forests, pastures, and urban areas. The data table includes water sample sulfate concentrations, sulfate-S stable isotope measurements, and the S stable isotope composition of commonly used S-containing fungicides and fertilizers for comparison.

openCC (other)Dec 2025View details →
zenodo48/100

Experimental determination of the sulfur K-shell fundamental parameters employing the holistic approach

<p>This dataset contains the experimentally determined fundamental parameters for the sulfur K-subshells from as shown in the publication with the title "Experimental determination of the sulfur K-shell fundamental parameters employing the holistic approach". The paper will be published soon in a peer-reviewd journal.</p> <p>This file contains the following fundamental parameters for sulfur: K-subshell fluorescence yield, K-shell Auger yield, Ka and Kb transition probabilities,&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; K-subshell photo ionization cross sections up to 10 keV, K-subshell fluorescence prodution cross sections up to 10 keV</p>

opencc-by-4.0Jul 2024View details →
edi48/100

Surface and porewater chemistry and sulfur stable isotpes for alpine and subalpine wetland sites, 2021.

To understand patterns in aqueous biogeochemistry of wetlands at Niwot Ridge, samples were collected and analyzed for dissolved anions and stable isotopes of sulfur in 2021. Samples were collected from eight wetland sites representing three wetland types, from the Saddle into the subalpine. At each site, tension lysimeters were placed at visible surface inflow and outflow paths to collect porewater. Water samples were collected from the tension lysimeters and surface pools during four time points through the summer season. Water samples were measured for a suite of dissolved anions using ion chromatography, including dissolved chloride, nitrate, and sulfate. Samples were also measured for dissolved organic carbon. Sulfur from one surface water sample from each site at each time point was precipitated as barium sulfate, and precipitations were analyzed for stable sulfur isotope ratio (δ^34S-SO4^2-) at the Center for Stable Isotope Biogeochemistry at the University of California, Berkeley. Data was used in conjunction with soil biogeochemistry data from 2020 to evaluate patterns in reactants among wetland types.

openCC (other)Jun 2022View details →
edi48/100

PIE LTER, stable isotope chemistry (carbon, nitrogen and sulfur) for food web analysis of functional groups in the Plum Island Sound Estuary, Massachusetts.

Stable isotopes of primary producers will be compared to stable isotopes of functional groups of organisms at primarily three sites within the estuary that have different dominant sources of organic matter. The three sites are: Lower (IBYC, SO-3, mouth of Plum Island Sound, 2-3 km upstream of the mouth of the estuary), Middle (OTL, PR-10.1, upper Sound, lower Parker, 8-11 km upstream of the mouth of the estuary) and Upper (P2, PR-21.9, upper Parker, above Middle Rd Bridge (22 km upstream of the mouth of the estuary). The Lower site is dominated by marine phytoplankton, the Middle site is dominated by a mixture of salt marsh and phytoplankton and the Upper site is dominated by oligohaline phytoplankton and fresh marsh. Ten functional groups will be sampled at each site (Surface sediment, benthic diatoms, Nereis, mummichog, ribbed mussels, POM, blue mussels, pelagic copepods (Acartia), silversides and soft shell clams (Mya). Marsh, benthic algae and phytoplankton inputs or benthic vs. pelagic pathways will be evident in the isotopic signals of these functional groups. Samples will be collected between the middle and end of August to reflect a growing season using recently produced OM. Samples of 15 – 20 individuals will be pooled for analysis. Some silverside samplings will have 3 different pooled samples for determination of variance. Often times the same species are not collected at each site due to habitat differences (salinity/discharge) so additional species are collected to try to accomplish task of getting functional groups collected.

openCC (other)Sep 2021View details →
zenodo44/100

Data for "Detection of large-scale cloud microphysical changes within a major shipping corridor after implementation of the IMO 2020 fuel sulfur regulations"

<p>Processed data used for the manuscript &quot;Detection of large-scale cloud microphysical changes within a major shipping corridor after implementation of the IMO 2020 fuel sulfur regulations&quot;.</p> <p>Includes input data for kriging algorithm as &quot;SSF1deg_shipkrige_Terra.nc&quot; and output data files as &quot;Data_Terra_[VAR]_[YEAR]_C_M[MONTH].nc&quot; for [VAR] Acld (overcast albedo) or cer (cloud droplet effective radius), [YEAR] the starting year of a three-year period starting with 2002 and ending at 2020 or &quot;clim&quot; for the 2002-2019 climatology, and [MONTH] 1to12 (annual mean) or 9to11 (austral spring).</p> <p>For the output data, &quot;Obs&quot; is the original data, &quot;Est&quot;&nbsp;is the mean counterfactual field obtained via kriging, &quot;lowEst&quot; and &quot;highEst&quot; are the 2.5th and 97.5th percentiles of the kriged fields for each grid box, &quot;krSims&quot; stores the results of the 5,000 simulated kriged fields, &quot;Semivariance&quot; is the binned empirical variogram values, &quot;pVal&quot; is the raw field significance (not adjusted for multiple testing), &quot;nOut&quot; is the number of individually significant grid boxes, &quot;tran&quot; is the transform applied (none for cer, logit for Acld), &quot;iniPhi&quot; and &quot;iniSigma2&quot; are the initial values for the fitted variogram, &quot;Phi&quot; and &quot;Sigma2&quot; are the fitted values using weighted least squares, and &quot;parSel&quot; is the list of selected regressors for the mean function that minimize the Bayesian information criterion.</p>

opencc-by-4.0May 2023View details →
edi44/100

Porewater sulfide, sediment sulfur, and organic matter data in West Falmouth Harbor, 2017-2019

West Falmouth Harbor (West Falmouth, MA, USA) has been experiencing a dramatic increase in nitrogen loading from an upgradient municipal wastewater treatment facility since the early 2000’s. As part of a long-term study into the effects of this nitrogen enrichment, each summer in 2017-2019 we sampled sediment and porewater to assess the relationship between belowground sulfur and carbon pools and seagrass health. This dataset contains information on porewater sulfide, porewater sulfate to chloride molar ratios, sediment organic matter, and sediment total sulfur from sites across three basins of West Falmouth Harbor that receive varying inputs of nitrogen. The data supports findings reported in Haviland et al., 2022 (https://doi.org/10.1002/lno.12025).

openCC (other)Dec 2022View details →
edi44/100

Isotopes and content of carbon, nitrogen, and sulfur of eelgrass (Zostera marina) from West Falmouth Harbor from 2005 through 2019

West Falmouth Harbor (West Falmouth, MA, USA) has been experiencing a dramatic increase in nitrogen loading from an upgradient municipal wastewater treatment facility since the early 2000’s. As part of a long-term study into the effects of this nitrogen enrichment, we have been assessing changes in the extent and health of the eelgrass (Zostera marina) community within the harbor. Eelgrass shoots were collected during the summer and run for carbon (C), nitrogen (N), and sulfur (S) content and isotopic composition. Samples were analyzed from 7 stations in the more well-flushed outer harbor (OH), 4 stations in the middle of the harbor (MH), and 6 stations in the inner portion of the harbor in close proximity to a high groundwater nitrate source (Snug Harbor, SH). Carbon data is available from 2011 through 2018, nitrogen data from 2006 through 2018, and sulfur data from 2005 through 2019 with a few samples from 2021. Sulfur results have been published in Haviland et al. 2022 (doi: 10.1002/lno.12025).

openCC (other)Dec 2022View details →
edi44/100

Stable isotope (carbon, nitrogen and sulfur) data for primary producers and consumer organisms in the Plum Island Sound Estuary.

Flora and fauna stable isotope study to help characterize organic matter/primary production sources important to the food web of the Plum Island Sound estuary. Sampling occured during 1993 and 1994.

openCustomJan 2020View details →
zenodo40/100

Measurements of spherical sulfur plasmas of 29.06.2012

<p>Measurements of spherical sulfur plasmas made at HEIG-VD, Yverdon, Switzerland, in 29.06.2012.</p> <p>The description of the files is in the README file.</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2020View details →
zenodo40/100

Visualization of Dissolution-Precipitation Processes in Lithium-Sulfur Batteries: Supporting Data

<ul> <li>Contours_1.gif: 0 mA/g - pristine state</li> <li>Contours_2.gif: 30 mA/g</li> <li>Contours_3.gif: 80 mA/g</li> <li>Contours_4.gif: 130 mA/g</li> <li>Contours_5.gif: 180 mA/g</li> <li>Contours_6.gif: 230 mA/g</li> <li>Contours_7.gif: 330 mA/g - no remaining solid sulphur</li> </ul>

opencc-by-4.0Jan 2022View details →
zenodo40/100

Measurement report: Characterization of uncertainties of fluxes and fuel sulfur content from ship emissions at the Baltic Sea

<p>This data submission is connected to a scientific paper submitted to<br> &nbsp;Atmospheric Chemistry and Physics (&quot;Measurement report: Characterization of uncertainties of fluxes and fuel sulfur content from ship emissions at the Baltic Sea&quot; by Walden et al.). It consists of measurement results conducted beside the ship routs at the Baltic Sea near Helsinki, Finland. The gaseous and particle concentrations were measured along with the meteorological parameters, and the fluxes were calculated by the micrometeorological methods. The content of sulfur in the marine fuel, FSC, used by the passing ships was also calculated. We paid attention to calculate the uncertainties of the measurement results, both for the fluxes and for the FSC.</p> <p>The released data of:<br> &nbsp;1. Gases, particles and met data (SO<sub>2</sub>, NO, NO<sub>2</sub>, O<sub>3</sub>, CO<sub>2</sub>, and N<sub>tot</sub> (number concentration of nanoparticles) as minute values. &nbsp;&nbsp;</p> <p>Data_ACP_Fig4_acbd.xlsx.</p> <p>&nbsp;<br> &nbsp;2. Size distribution of nanoparticles (number concentration of nanoparticles at size class). Data_ACP_Fig6.xlsx</p> <p>&nbsp;<br> &nbsp;3. Profiles of 30 min averages of gases, nanoparticles and meteorological parameters &nbsp;(SO<sub>2</sub>, NO, NO<sub>2</sub>, O<sub>3</sub>, CO<sub>2</sub>, and N<sub>tot</sub> (number concentration of nanoparticles), wind direction and wind speed, friction velocity, stability parameter and Monin-Obukhov length. Calculated values of atmospheric turbulence parameters and calculated fluxes of CO2 and nanoparticles by gradient and/or eddy covariance method.</p> <p>Data_ACP_Fig8_abcd_Fig9_abcd.xlsx<br> &nbsp;<br> &nbsp;4. CO2 fluxes by Eddy covariance method from land based and sea based measurements. Concentration of CO2 in seawater and in air.</p> <p>Data_ACP_Fig10_ab.xlsxEngl</p>

opencc-by-4.0Jan 2021View details →
zenodo40/100

Data for: Implementing detailed nucleation predictions in the Earth system model EC-Earth3.3.4: sulfuric acid-ammonia nucleation

<p>Model dataset variables produced from the IFS and TM5 modules in EC-Earth3 version 3.3.4. which contains the control case and three experiments with the NPF lookup table. This paper is published at EGUshpere by journal: Geoscientific Model Development.</p> <p>The files contain:</p> <p>Compressed tar file of NetCDF data from IFS output for all four simulations. All IFS data have been averaged to monthly means from 6-hourly grib datasets. The post-process bash script which contains the function for the CDN and cloud effective radius weighted average towards cloud_time is found in the supplemented zendo link.</p> <p>NetCDF files from TM5 general output for each simulation.&nbsp;</p>

opencc-by-4.0Jan 2024View details →
zenodo40/100

Figures 7–14 in Euscorpius sulfur sp n (Scorpiones Euscorpiidae) a new cave scorpion from Albania and northwestern Greece

Figures 7–14: E. sulfur sp. n. Figures 7, 9, 11–14. Male holotype, carapace and tergites I–III (7), coxosternal area and sternites (9), left legs I–IV, retrolateral aspect (11–14 respectively). Figures 8, 10. Female paratopotype, carapace and tergites I–III (8), coxosternal area and sternites III–IV (10).

opencc-by-4.0Dec 2023View details →
zenodo40/100

Figures 3–6 in Euscorpius sulfur sp n (Scorpiones Euscorpiidae) a new cave scorpion from Albania and northwestern Greece

Figures 3–6: Euscorpius sulfur sp. n. Figures 3–4. Male holotype in dorsal (3) and ventral (4) views. Figures 5–6. Female paratopotype in dorsal (5) and ventral (6) views. Scale bars: 10 mm.

opencc-by-4.0Dec 2023View details →
zenodo40/100

Figures 52–53. Figure 52 in Euscorpius sulfur sp n (Scorpiones Euscorpiidae) a new cave scorpion from Albania and northwestern Greece

Figures 52–53. Figure 52. The Sarandaporo Valley at the border between Albania and Greece. The massive Vromoner hypogene sinkhole, visible on the limestone hill in the foreground, communicates through vertical chimneys with Sulfur Cave. Photograph by M. Audy. Figure 53. The spacious VesmÍr (Universe) Dome, situated under the sinkhole (in Figure 51). Several hydrogene sulfide-rich thermal springs (26°C) are located on the passage floor under the dome. The gypsum accumulations are covered with sulfur. Photograph by M. Audy &amp; R. Bouda.

opencc-by-4.0Dec 2023View details →
zenodo40/100

Figures 33–41. E in Euscorpius sulfur sp n (Scorpiones Euscorpiidae) a new cave scorpion from Albania and northwestern Greece

Figures 33–41. E. sulfur sp. n., female paratopotype, pedipalp segments. Chela dorsal (33), external (34) and ventral (35) views. Patella dorsal (36), external (37) and ventral (38) views. Trochanter and femur dorsal (39) and ventral (40) views. Movable finger dentition (41) Trichobothrial pattern is indicated by white circles (33–39).

opencc-by-4.0Dec 2023View details →
zenodo40/100

Figures 23–32. E in Euscorpius sulfur sp n (Scorpiones Euscorpiidae) a new cave scorpion from Albania and northwestern Greece

Figures 23–32. E. sulfur sp. n., male holotype, pedipalp segments. Chela dorsal (23), external (24) and ventral (25) views. Patella dorsal (26), external (27) and ventral (28) views. Trochanter and femur dorsal (29) and ventral (30) views. Movable (31) and fixed (32) finger dentition.

opencc-by-4.0Dec 2023View details →
zenodo40/100

Figures 1–2 in Euscorpius sulfur sp n (Scorpiones Euscorpiidae) a new cave scorpion from Albania and northwestern Greece

Figures 1–2: Euscorpius sulfur sp. n., females paratopotypes in vivo habitus under UV (1, photograph by Ruxandra Nitescu) and white (2, photograph by Traian Brad) light.

opencc-by-4.0Dec 2023View details →

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