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45 results for “activity concentration”
Monthly aerosol emissions and GHG concentration projections from 2020-2025: modified SSP2-4.5 to account for COVID-19 impacts on sector activity
<p>This repository holds the netcdf files for emissions and concentrations projected by the scenario SSP2-4.5, from the Scenario4MIPs database (<a href="https://esgf-node.llnl.gov/search/input4mips/">https://esgf-node.llnl.gov/search/input4mips/</a>), modified by the country and sector activity levels associated with lockdown, projected out for 5 years after 2020. The details of these activity estimates are available from <a href="https://github.com/Priestley-Centre/COVID19_emissions">https://github.com/Priestley-Centre/COVID19_emissions</a>.</p> <p>The methodology behind these calculations is based on <a href="https://github.com/Rlamboll/modify_COVID19_netCDF_Emissions/">https://github.com/Rlamboll/modify_COVID19_netCDF_Emissions/tree/endof2020</a>, a slight modification of the approach used in <a href="https://zenodo.org/record/3947917#.XxR_qyhKhPZ">https://zenodo.org/record/3947917#.XxR_qyhKhPZ</a> to have a different timeframe. </p> <p>Funding was provided by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN) <a href="http://constrain-eu.org/">http://constrain-eu.org/</a> </p>
Data for the publication "Retrieving ice-nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations"
<p>This repository contains the data for the paper:</p> <p>Wieder, J., Ihn, N., Mignani, C., Haarig, M., Bühl, J., Seifert, P., Engelmann, R., Ramelli, F., Kanji, Z. A., Lohmann, U., and Henneberger, J.: Retrieving ice nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-67, in review, 2022.</p> <p>More information can be found in the README files.</p> <p>Note that the scripts to reproduce the figures of the publication are available on request.</p>
Distinct States in an Active Liquid Crystal of Flagella and Kinesin-Powered Microtubules under Varying Kinesin Concentrations or Active Stress
<p>At a constant nematic elasticity (flagella concentration) and confinement (H=100μm), higher KSA (120nM) or motor concentrations induce robust active stress that disrupts nematic alignment, resulting in chaotic behavior. Conversely, lower KSA (<60nM) concentrations fail to overcome the nematic elastic background's alignment, leading to a unique state where active microtubule bundles phase-separate into lanes within a uniform flagella background. The confocal micrograph reveals this distinct phenomenon, showing uniform flagella distribution alongside microtubule segregation into lane-like structures within the channel's limited confinement.</p>
Temporal evolution of plutonium concentrations and isotopic ratios, cesium activity concentrations, granulometric parameters and organic matter properties in the Ukedo–Takase Rivers draining the Difficult-To-Return Zone in Fukushima, Japan (2013–2020)
<p>The current dataset was compiled to investigate the temporal evolution of plutonium concentrations, isotopic ratios and radiocesium activity concentrations in flood sediment deposits collected in the Ukedo and Takase Rivers, draining a part of the Difficult-to-Return Zone, in Fukushima Prefecture, from 2013 to 2020. These radionuclides were released in large quantities during the Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident that occurred in March 2011 in Northeastern Japan (Steinhauser et al., 2014). Models showed that ~ 80 % of radionuclide releases occurred over the ocean (Mathieu et al., 2018; MEXT, 2011). The radioactive plume is drained by several coastal rivers to the Pacific Ocean, and sediment-bound radionuclide transfers in these rivers are mainly controlled by the occurrence of typhoons and tropical storms (Evrard et al., 2021). The objective of the research relying on the current database is to investigate the temporal changes in Pu signatures that occurred between 2013 and 2020 in flood sediment deposits collected in the Ukedo and the Takase Rivers, and to identify potential factors controlling these changes by the means of statistical approach.</p> <p>The current dataset comprises an Excel file including the variables description, and the data itself.</p>
Figure 3. Relationship between activity concentrations for 40K in Microtus guentheri (Danford & Alston, 1880) (Rodentia: Cricetidae) as a biomonitor for radionuclides in Mersin Province of Turkey
Figure 3. Relationship between activity concentrations for 40K as a function of altitude (significant).
The Spring Festival Effect: the change of NO2 column concentration in China caused by the migration of human activities
<p>The Spring Festival is the most important holiday in China, human activity and population mobility may contribute greatly to air quality, especially in the megacities. According to the satellite-based tropospheric nitrogen dioxide (NO<sub>2</sub>) column and ground-based observational concentration of NO<sub>2</sub> in the megacities from 2013 to 2018 around the Spring Festival, we found that NO<sub>2</sub> concentration decreases obviously during the Spring Festival and rebounds after the Spring Festival in China, particularly in the megacities. The tropospheric NO<sub>2</sub> columns density around Beijing-Tianjin-Hebei region decreases about 40% than the period before the festival, and it in Beijing decreases by 41.6% and rebounds by 22.3%. While under the Coronavirus disease 2019 (COVID-19) pandemic progresses, the tropospheric NO<sub>2</sub> columns density in Beijing decreases by 56.2% and rebounds only by 6.8% in 2020.</p>
Potent activity of high concentration ozone therapy against an-tibiotic-resistant bacteria
<p><strong>Figure S1. </strong>SANITECH O3-80-Sanitization equipment ozone generator coupled to two containers of approximately 1m<sup>3</sup> each, used for exposing samples to ozone.</p>
Replication data for: "Effectiveness of iso-inertial resistance training on eccentric and concentric power, physical performance, and risk of falls in physically active middle-older adults: a randomised controlled trial"
<p>Replication data for: "Effectiveness of iso-inertial resistance training on eccentric and concentric power, physical performance, and risk of falls in physically active middle-older adults: a randomised controlled trial"</p> <p>This folder contains 4 files:</p> <p>1) Database that contains the values for concentric and eccentric power measured with both iso-inertial and gravitational systems (Dataset_power.xlsx)</p> <p>2) Database that contains the values for the Short Physical Performance Battery (SPPB) and Get Up and Go (GUG) test (Dataset_SPPB_GUG.xlsx)</p> <p>3) R Software script used to analyse file 1 (Iso-inertial analysis_power.R)<br> <br>4) R Software script used to analyse file 2 (Iso-inertial analysis_SPPB_GUG.R)</p>
Active-control Randomized Trial Comparing 4-factor Prothrombin Complex Concentrate With Frozen Plasma in Cardiac Surgery
ClinicalTrials.gov study NCT05523297. IPD Sharing: NO. Countries: 2. Publications: 2.
Data from: Extracellular carbonic anhydrase activity promotes a carbon concentration mechanism in metazoan calcifying cells
Open the record for dataset details and reuse information.
Data from: Dung beetle activity had no positive effect on nutrient concentration or performance of established rainforest seedlings
<p>All five datasets from this study correspond to field observations collected for seedlings of six tree species (<i>Brosimum alicastrum</i>, <i>Calophyllum brasiliense</i>, <i>Cymbopetalum baillonii</i>, <i>Diospyros digyna</i>, <i>Omphalea oleifera</i> and <i>Poulsenia armata</i>) in a tropical rainforest (Los Tuxtlas, Mexico). We estimated the concentrations of foliar nitrogen (N) and phosphorus (P), resource allocation (the ratio of biomass allocated to shoot vs root), seedling survival, and growth. Experimental seedlings were subject to three treatment levels: (a) feces added and beetles active, (b) feces added and beetles excluded, and (c) no feces added (and consequently no beetles active). We analyzed data at two levels: community (all plant species together) and individual species. For resource allocation (ESM_Dataset1_RootShoot) we weighed aerial parts (stem and leaves) and roots, separately, and calculated the root/shoot biomass ratio for each seedling. For foliar nutrients (ESM_Dataset2_FoliarNutrients) we obtained N and P concentrations using a Kjeldahl wet digestion and colorimetric analysis; for the analyses four outlier values were removed (for <em>Brosimum</em> one P value; for <i>Calophyllum</i> two P values and one N value). We analyzed foliar nutrients for all plant species. In the case of seedling survival (ESM_Dataset3_Survival) we registered seedling survival weekly during six weeks for <i>Cymbopetalum</i>, and during 26 weeks for the other five species. The response variable was the number of days elapsed until death; seedlings alive by the end of the experiment were included as right-censored data. For seedling growth in height (ESM_Dataset4_GrowthHeight; measured in all plant species except <i>Cymbopetalum</i>) we measured seedling height to the nearest centimeter every four or five weeks during 26 weeks. For this variable we calculated net growth in height (final height minus initial height). Finally, for the growth in the number of leaves (ESM_Dataset5_GrowthLeaves; measured in all plant species except <i>Cymbopetalum</i>) we counted the number of leaves lost and number of new leaves, every four or five weeks during 26 weeks; the response variable was the net growth in the number of leaves (final number of leaves minus initial number of leaves). All analyses were conducted in R. Detailed information about dataset structure and contents can be found in file ESM_Metadata.</p>
Data from: The activity of dung beetles increases foliar nutrient concentration in tropical seedlings
Dung beetles are extensively used as a focal taxon in tropical forests. Yet, information for most of their ecological functions comes from other systems. We present results from a field experiment in a tropical rainforest showing that dung beetle activity increases foliar phosphorus concentration in seedlings of the tree Brosimum lactescens. Our results open new lines of research to assess the multiple effects that dung beetles may have on rainforest plants.
Impact of artificial activity decrease on black carbon aerosol concentration and CO2 at the Mt Waliguan WMO/GAW baseline station during the COVID-19 period
<p>This one is about the data of the article, including BC data, CO2, meteorological data, and boundary layer data. As well as the trajectory and CWT obtained from the Hysplit run. Both BC and CO2 are raw results and can be used to check or repeat the experiment.</p>
Combined Effects of Concentration, pH, and Polycrystalline Copper Surface on Electrocatalytic Nitrate-to-Ammonia Activity and Selectivity
<p>Datasets for figures included in the results and discussion section in our recently accepted publication at ACS Catalysis: 10.1021/acscatal.2c05136</p> <ul> <li><strong>Figure 3:</strong> Cyclic voltammograms for 0.1 M, 0.5 M and 1 M NaNO<sub>3</sub> for (a) pH 8, (b) pH 10, and (c) pH 14 using a Cu disk electrode (Figure 1) with a scan rate of 20 mV s<sup>-1</sup> and stir rate of 900 rpm. Average current density for the last and steady cycle is shown as a bold line with the shaded regions representing the standard deviation over at least 3 trials computed at every potential. Arrows indicate the direction of the sweep. Data in Figure 3(a) and 3(b) for pH 8 and pH 10 is a selected subset of more experimental trials. Figure S2 shows the same results with potential versus the normal hydrogen electrode (V vs NHE) to illustrate pH-dependent shift in the range of the working electrode potentials. Blanks (predicted H<sub>2</sub> evolution) have not been subtracted from the CV data for NaNO<sub>3</sub>.</li> <li> <p><strong>Figure 4:</strong> Cyclic voltammograms for pH and 1 M NaNO<sub>3</sub> and 1 M NaNO<sub>2</sub> concentrations for a Cu disk electrode obtained with a scan rate of 20 mV s<sup>-1</sup> and a stir rate of 900 rpm at: (a) pH 8, (b) pH 10, and (c) pH 14. The blanks associated with each trial condition are shown as dotted lines and the onset potential of the blank, i.e., hydrogen evolution reaction, is indicated by the vertical dashed line. Average current density for the last and steady cycle is shown as a bold line, with the shaded regions representing the standard deviation over all trials calculated at each potential. Blanks (predicted H<sub>2</sub> evolution) have not been subtracted from the CV data for NaNO<sub>3</sub> and NaNO<sub>2</sub>.</p> </li> <li> <p><strong>Figure 5:</strong> Cyclic voltammograms for 0.5 M NaNO<sub>3</sub> for a Cu disk electrode with a scan rate of 20 mV s<sup>-1</sup> and a stir rate of 900 rpm at (a) pH 8, (b) pH 10 and (c) pH 14. For (a) and (c), two different clusters of measured datasets are observed and average current density values over multiple trials (at least 2) are shown in bold and the shaded regions represent the standard deviation. For (b), data from all trials are shown. Blanks (predicted H<sub>2</sub> evolution) have not been subtracted from the shown data.</p> </li> <li> <p><strong>Figure 6: </strong>Chronoamperometry studies for pH 8, 10, and 14 for NaNO<sub>3</sub> concentrations of (a) 0.1 M and (b) 1 M. Average current density for all trials is shown in the bold line, with the shaded regions representing the standard deviation of 3 experimental trials. Experiments were completed with planar Cu electrodes with geometric areas in Table S3, where the working electrode was subject to the voltages in Table 1, and with a stir rate of 900 rpm. Blanks without NaNO<sub>3 </sub>have been subtracted from currents obtained with NaNO<sub>3</sub> electrolytes at all concentrations and pH to discount H<sub>2</sub> evolution currents at cathodic potentials.</p> </li> <li> <p>Figure 7: (a) Average and standard deviations in Faradaic efficiency to NH<sub>3</sub> (green) and NO<sub>2</sub><sup>-</sup> (purple) at pH 8, 10, and 14 for 0.1 M and 1 M NaNO<sub>3</sub>. (b) Average and standard deviations in measured NO<sub>3</sub><sup>-</sup> consumption (blue) and estimated NO<sub>3</sub><sup>-</sup> consumption (teal); (c) trial-to-trial breakdown of Faradaic efficiency to NO<sub>2</sub><sup>-</sup>, NH<sub>3</sub>, predicted H<sub>2</sub>, and unaccounted products. All data for this figure are from experiments completed with planar Cu electrodes with geometric areas in Table S1, where the working electrode was subject to the voltages in Table 1, and with a stir rate of 900 rpm. Average values in 7(a) and 7(b) are obtained by averaging over all trials in Figure 6, and error bars account for both random (trial-to-trial) and systematic errors (Table 2); 7(c) does not show uncertainties in the Faradaic efficiency to NO<sub>2</sub><sup>-</sup> and NH<sub>3</sub>. Instead, the red box indicates the portion of the unaccounted products that lies outside of the systematic error coming from the NH<sub>3</sub> and NO<sub>2</sub><sup>-</sup> measurements.</p> </li> <li> <p>Figure 8: Energy intensity for ammonia recovery, (MJ kg<sub>N</sub><sup>-1</sup>), and rate of ammonia production, (g<sub>N</sub> m<sup>-2</sup> day<sup>-1</sup>), as a function of pH 8, 10, and 14 for 0.1 M and 1 M NaNO<sub>3</sub>. Energy intensity values estimated for the standard biological nitrification-denitrification approach (green star), and for the Sharon-Anammox process (yellow star) are included for comparison. All data for this figure are from experiments completed with planar Cu electrodes (Figure 1). Average values for energy intensity and rate of ammonia production are obtained by averaging over all trials in Figure 6, and error bars account for both random (trial-to-trial) and systematic errors (Table 2).</p> </li> <li> <p><strong>Figure 9:</strong> Correlation, using trial-by-trial experimental data, between the average of initial and final values of the charge-transfer resistance, , and the charge passed for NO<sub>3</sub><sup>-</sup> reduction to NO<sub>2</sub><sup>-</sup> and NH<sub>3</sub>, , for 0.1 M and 1 M NaNO<sub>3</sub> at pH 8, 10, and 14. Best-fit charge-transfer resistance values are obtained from electrochemical impedance spectroscopy data measured with planar Cu electrodes at a potential of -0.1 V. Lower leads to higher charge passed to NO<sub>3</sub><sup>-</sup> reduction products, as shown by the fit line. Systematic errors in the determination of (Table 2) are not explicitly shown in this dataset.</p> </li> <li> <p><strong>Figure 10: </strong>Correlations using trial-by-trial experimental data between the net charge passed and the average of the initial and final effective double-layer capacitance, . (a, b) show the total charge, , and (c, d) only consider NO<sub>2</sub><sup>-</sup> and NH<sub>3</sub>, . The is split by concentration, with (a, c) showing 0.1 M and (b,d) showing 1 M NaNO<sub>3</sub> for pH 8, 10, and 14. Trendlines in the data (dotted and dashed) are included at every pH. Best-fit double-layer capacitance values are calculated from electrochemical impedance spectroscopy data obtained with planar Cu electrodes at a potential of -0.1 V. The error bars for include the contributions from systematic error (Table 2).</p> </li> </ul>
Determination of the Minimal Concentration of Antifibrinolytics Required to Inhibit t-PA-activated Fibrinolysis
ClinicalTrials.gov study NCT02352675. IPD Sharing: Not stated. Countries: 1. Publications: 9.
ET1 Concentration, Metabolic Pathway Activation, and Pulmonary Blood Flow in Infants Undergoing Superior Cavo-Pulmonary Anastomosis
ClinicalTrials.gov study NCT03404258. IPD Sharing: NO. Countries: 1. Publications: 1.
The Effect of Different Sodium Hypochlorite Concentrations and Activation Techniques on Postoperative Pain
ClinicalTrials.gov study NCT07033247. IPD Sharing: NO. Countries: 1. Publications: 1.
Single Dose Clamp Study to Evaluate Concentration-time Profile and Metabolic Activity of 3 Dose Levels of Afrezza and 3 Dose Levels of Insulin Lispro in Patients With Type 1 Diabetes Mellitus
ClinicalTrials.gov study NCT02470637. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Adalimumab Dose Reduction Aiming Low Serum Concentration With Control of Disease Activity
ClinicalTrials.gov study NCT04222920. IPD Sharing: YES. Countries: 1. Publications: 4.
Diagnosis of Primary Aldosteronism: Comparison of Post Captopril Active Renin Concentration and Plasma Renin Activity
ClinicalTrials.gov study NCT00917345. IPD Sharing: Not stated. Countries: 1. Publications: 2.
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