Search results for "2S"

showing 10 items of 1037 documents

Experimental conditions for respiration and growth studies of F0 and F1 larval and juvenile European seabass Dicentrarchus labrax

2022

Water parameters in the 2 years before spawning of F0 (08.02.2016-06.03.2018) and during larval and juvenile phase of F1: Larval period until 17.05.2018 (48 dph, 900 dd) and 01.06.2018 (63 dph, ~900 dd) for warm and cold life condition respectively, for the juveniles until 28.09.2018 (180 dph, ~4000 dd) and 12.02.2019 (319 dph, ~5100 dd) for warm and cold conditioned fish respectively. Means ± s.e. over all replicate tanks per condition. Temperature (Temp.), pH (free scale), salinity, oxygen and total alkalinity (TA) were measured weekly in F1 and monthly in F0; sea water (SW) measurements were conducted in 2017 and 2018. Water parameters during larval and early juvenile phase of F0: Larval…

Calculated by CO2sys_xls_program Lewis and WallaceSalinityAlkalinityLife stageType of studyTemperature waterGermanyCalculatedAlkalinity totalSalinity standard errortotallarval growthteleostexperiment2006pH2007 with purified m cresol purpleOcean acidificationMeasured spectrophotometrically Dickson et alTemperatureWeilheimPartial pressure of carbon dioxide (water) at sea surface temperature (wet air) standard errorSilicatedissolvedLaboratory experimentSEAL AA3 segmented flow autoanalyzerSilicate standard errorstandard errorMultiprobeEarth System ResearchWTW 340imetabolic rateswaterGenerationOxygen dissolvedMultiprobe WTW 340iPhosphateocean warmingAlkalinity total standard errorjuvenile growthCarbon dioxide (water) partial pressurepH meter (WTW 3110) with electrode (WTW Sentix 41)DATE TIMEWTW Oxi 340i probeTemperature water standard errorCarbon dioxide water partial pressurepH standard errorXylem Analytics GermanySalinometer (WTW LF325 Xylem Analytics Germany Weilheim Germany)Calculated by CO2sys_xls_program (Lewis and Wallace 2006)OxygenTreatmentDATE/TIMEPartial pressure of carbon dioxide water at sea surface temperature wet airSalinometer WTW LF325Oxygen dissolved standard errorMeasured spectrophotometrically (Dickson et al. 2007) with purified m-cresol purplepH meter WTW 3110 with electrode WTW Sentix 41Phosphate standard error
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ZrO2 Acting as a Redox Catalyst

2016

Surface defects are discussed and reviewed with regards to the use of ZrO2 in applications involving interactions with CO, H2, CH4, CO2, water and hydrocarbons. Studies of catalytic partial oxidation of methane reveal that part of the surface lattice oxygen in terraces can be removed by methane at high temperatures (e.g. 900 °C). The reaction proceeds via a surface confined redox mechanism. The studies presented here also highlight that defects play a decisive role in the water–gas-shift reaction, since the reaction is likely carried out via OH groups present at defect sites, which are regenerated by dissociating water. Hydroxyl chemistry on ZrO2 is briefly reviewed related to the studies p…

Chemistry(all)Tar oxidationInorganic chemistryHydroxyl groups02 engineering and technology010402 general chemistry01 natural sciencesRedoxCatalysisMethaneDissociation (chemistry)CatalysisRedoxHSchemistry.chemical_compoundAdsorptionZrO2Partial oxidationbiologyH2SCPOMActive siteGeneral ChemistryZrO021001 nanoscience & nanotechnology0104 chemical scienceschemistrybiology.proteinDensity functional theory0210 nano-technologyWGSTopics in Catalysis
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Functional consequences of prey acclimation to ocean acidification for the prey and its predator

2016

Ocean acidification is the suite of chemical changes to the carbonate system of seawater as a consequence of anthropogenic carbon dioxide (CO2) emissions. Despite a growing body of evidences demonstrating the negative effects of ocean acidification on marine species, the consequences at the ecosystem level are still unclear. One factor limiting our ability to upscale from species to ecosystem is the poor mechanistic understanding of the functional consequences of the observed effects on organisms. This is particularly true in the context of species interactions. The aim of this work was to investigate the functional consequence of the exposure of a prey (the mussel Brachidontes pharaonis) t…

Condition indexRegistration number of speciesSalinityTemperateBottles or small containers/Aquaria (<20 L)inorganicAlkalinityBrachidontes pharaonisIncubation durationExperimentTemperature waterCarbon inorganic dissolvedAssimilation efficiencyEriphia verrucosaBreaking loadCalculated using seacarb after Nisumaa et al 2010Aragonite saturation stateAlkalinity totalBottles or small containers Aquaria 20 LtotalpHTemperaturePartial pressure of carbon dioxide (water) at sea surface temperature (wet air) standard errordissolvedCarbonate ionLaboratory experimentPartial pressure of carbon dioxide (water) at sea surface temperature (wet air)standard errorEarth System ResearchUniform resource locator link to referenceanimal structuresCalcite saturation stateArthropodaLengthwaterGrowth MorphologyFigureBenthosUniform resource locator/link to referenceMediterranean SeaAnimaliaBehaviourBicarbonate ionTime in secondsTypeTemperature water standard errorCalculated using seacarb after Nisumaa et al. (2010)SpeciespH standard errorCalcite saturation state standard errorGrowth rateBottles or small containers/Aquaria (&lt;20 L)Calculated using CO2SYSfungiCarbonate system computation flagFugacity of carbon dioxide (water) at sea surface temperature (wet air)CarbonTreatmentAragonite saturation state standard errorPartial pressure of carbon dioxide water at sea surface temperature wet airCarbon dioxideMolluscaGrowth/MorphologyBenthic animalsFugacity of carbon dioxide water at sea surface temperature wet airCoast and continental shelfSpecies interaction
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"Table 2" of "Inclusive $\Upsilon$ production in p-Pb collisions at $\sqrt{s_{\rm NN}}$ = 8.16 TeV"

2020

$\Upsilon$(2S) differential cross section times as a function of $y_{\rm cms}$, in p--Pb collisions at $\sqrt{s_{\rm NN}}$ = 8.16 TeV. The first uncertainty is statistical, while the second is the systematic.

DSIGMA/DYP PB --&gt; UPSILON(2S) X8160.0
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Towards metal chalcogenide nanowire-based colour-sensitive photodetectors

2018

Financial support provided by Scientific Research Project for Students and Young Researchers Nr. SJZ/2016/6 realized at the Institute of Solid State Physics, University of Latvia is greatly acknowledged. Authors are grateful to Reinis Ignatans for XRD measurements.

DiffractionIn2S3PhotoluminescenceMaterials scienceChalcogenideNanowirePhotodetector02 engineering and technology010402 general chemistry01 natural sciencesFocused ion beamlaw.inventionInorganic Chemistrychemistry.chemical_compoundlaw:NATURAL SCIENCES:Physics [Research Subject Categories]Electrical and Electronic EngineeringPhysical and Theoretical ChemistryPhotodetectorSpectroscopybusiness.industryPhotoresistorOrganic Chemistry021001 nanoscience & nanotechnologyCdSAtomic and Molecular Physics and Optics0104 chemical sciencesElectronic Optical and Magnetic MaterialsNanowireZnSechemistryTransmission electron microscopyOptoelectronicsPbS0210 nano-technologybusinessOptical Materials
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"Lund jet plane 1D" of "Measurement of the Lund jet plane using charged particles in 13 TeV proton-proton collisions with the ATLAS detector"

2020

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for use in MC tuning.

DijetsD^2SIG/DZDRProton-Proton ScatteringHigh Energy Physics::ExperimentP P --&gt; j jJet Substructure13000
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"Lund jet plane 2D" of "Measurement of the Lund jet plane using charged particles in 13 TeV proton-proton collisions with the ATLAS detector"

2020

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties

DijetsD^2SIG/DZDRProton-Proton ScatteringHigh Energy Physics::ExperimentP P --&gt; j jJet Substructure13000
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"Lund jet plane: horizontal slice, 5.13 &lt; ln(1/z) &lt; 5.41" of "Measurement of the Lund jet plane using charged particles in 13 TeV proton-proton…

2020

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 5.13 &lt; ln(1/z) &lt; 5.41.

DijetsD^2SIG/DZDRProton-Proton ScatteringP P --&gt; j jJet Substructure13000
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"Lund jet plane: horizontal slice, 3.19 &lt; ln(1/z) &lt; 3.47" of "Measurement of the Lund jet plane using charged particles in 13 TeV proton-proton…

2020

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 3.19 &lt; ln(1/z) &lt; 3.47.

DijetsD^2SIG/DZDRProton-Proton ScatteringP P --&gt; j jJet Substructure13000
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"Lund jet plane: horizontal slice, 5.41 &lt; ln(1/z) &lt; 5.68" of "Measurement of the Lund jet plane using charged particles in 13 TeV proton-proton…

2020

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 5.41 &lt; ln(1/z) &lt; 5.68.

DijetsD^2SIG/DZDRProton-Proton ScatteringP P --&gt; j jJet Substructure13000
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