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300 results for “tracer”
Simulated tracer-gas distribution in a multiscale model of the human lung during multiple-breath nitrogene washout
<p><em><strong>Content</strong></em></p> <p><strong>baseline:</strong></p> <ul> <li>inletFlow (ASCII format data for flow rate at the mouth in m^3/s, sampling frequency 1kHz)</li> <li>primary_results (ASCII format data table with four colums: time in seconds, N2 concentration (normalized), <em>empty </em>-1, pleural pressure in Pascal)</li> </ul> <p><strong>compliance modification (local):</strong></p> <ul> <li>inletFlow (format as in baseline)</li> <li>primary_results (format as in basline)</li> <li>duct: unstructured VTK mesh data of several scalar quantities (airway dimensino, pressure, N2 concentration, flow velocity) witin the airway network. Sampling frequency 50Hz (separat vtk-file for each timestep). <em>Inspect for instance with the VisIt (Lawrence Livermore National Laboratory) free visualization software.</em></li> <li>lobule: unstructured VTK mesh data of several scalar quantities (airway dimensino, pressure, N2 concentration, flow velocity) within the trumpet lobules.</li> </ul> <p><strong>compliance modification (regional):</strong></p> <ul> <li>inletFlow (format as in baseline)</li> <li>primary_results (format as in basline)</li> <li>duct: (same format as described above)</li> <li>lobule: (same format as described above)</li> </ul> <p><strong>size modification (regional):</strong></p> <ul> <li>inletFlow (format as in baseline)</li> <li>primary_results (format as in basline)</li> </ul> <p><strong>resistance modification (local):</strong></p> <ul> <li>inletFlow (format as in baseline)</li> <li>primary_results (format as in basline)</li> </ul> <p><strong>healthy controls (local):</strong></p> <ul> <li>inletFlow (format as in baseline)</li> <li>primary_results (format as in basline)</li> </ul>
Determining whether bespoke nanoBRET tracers work with ALK5
<p>I have always wanted to establish nanoBRET target engagement assay for ALK5. Relative to dual luciferase promoter assay and immunofluorescent staining, nanoBRET is many times faster. With a robust ALK5 nanoBRET assay, I will be able to rapidly screen for cellular off-target activity.</p> <p> </p> <p>Since none of the commercial nanoBRET tracers worked with ALK5, we attempted to generate our own tracers. We chose to create these bespoke tracers based on M4K1046 because it has cellular IC50 of ~50nM for ALK5. David Drewry has helped to design linkers that will attach fluorophores (nanoBRET energy acceptor) to the solvent-facing end of M4K1046. Based on known structures, additional bulk in this region should not hinder the binding of the compounds to ALK5. Two versions of M4K1046 (with different linker length) were synthesised by the M4K pharma chemist team in OICR. They were subsequently sent to Carrow Wells for conjugation to nanoBRET fluorophore.</p> <p>For more description of the project, please visit my blog posts:</p> <p><a href="https://openlabnotebooks.org/determining-whether-bespoke-tracers-work-with-alk5-in-nanobret-target-engagement-assay/">https://openlabnotebooks.org/determining-whether-bespoke-tracers-work-with-alk5-in-nanobret-target-engagement-assay/</a></p>
Dataset CMKLR1-targeting peptide tracers for PET/MR imaging of breast cancer
<p>Dataset for the menuscript CMKLR1-targeting peptide tracers for PET/MR imaging of breast cancer</p>
Model outputs for "Multi-grid algorithm for passive tracer transport in NEMO ocean circulation model"
<p>Model outputs used to write "Multi-grid algorithm for passive tracer transport in NEMO ocean circulation model" publication.</p>
Supplementary XRD Material for "Experimental Constraints on Barium Isotope Fractionation during Adsorption-Desorption Reactions: Implications for Weathering and Erosion Tracer Applications"
<p><strong>Repository Overview:</strong> Supplementary powder X-ray diffraction (XRD) data for the study "Experimental Constraints on Barium Isotope Fractionation during Adsorption-Desorption Reactions: Implications for Weathering and Erosion Tracer Applications"</p> <p><strong>Data Provided:</strong> Powder X-ray diffractograms of the minerals used in the laboratory batch experiments. Pow</p> <p><strong>Minerals Analysed:</strong></p> <p><span>Clay Minerals:</span></p> <ul> <li>Kaolinite (KGa-2): purchased from the Clay Minerals Society (CMS).</li> <li>Montmorillonite (SWy-2): purchased from the Clay Minerals Society (CMS).</li> </ul> <p><span>Iron Oxyhydroxide Minerals:</span></p> <ul> <li>Goethite synthesised under alkaline conditions in the laboratories at the Department of Earth Sciences, University of Cambridge, following the method detailed in Schwertmann and Cornell (2008).</li> <li>2-line ferriydrite synthesised in the laboratories at the Department of Earth Sciences, University of Cambridge, following the method detailed in Schwertmann and Cornell (2008) methods.</li> </ul> <p><strong>XRD Methods:</strong></p> <ul> <li>Instrument and Set Up: Theta-Theta D8 Bruker Advance diffractometer with a Mo anode, Lynxeye XE-T PSD detector and 2 mm divergent slit.</li> <li>Sample Preparation: Zero-background monocrystalline silicon plate was used to minimize sample mass. The X-ray diffractogram of the silicon plate was measured prior to each sample measurement.</li> <li>Clay Minerals: 0.02° step size and a 3s step rate.</li> <li>Iron Oxyhydroxide Minerals: 0.03° increments and a 1s step rate.</li> </ul> <p><strong>Purpose of XRD Analyses:</strong></p> <ul> <li>To verify the correct synthesis of iron oxyhydroxide phases and to detect impurities.</li> <li>To monitor any mineralogical changes that occurred during adsorption-desorption reactions with water.</li> </ul> <p><strong>Data Format</strong></p> <table> <tbody> <tr> <td><strong>Column Name</strong></td> <td><strong>Description</strong></td> <td><strong>Unit</strong></td> </tr> <tr> <td>twotheta</td> <td>2θ</td> <td>°</td> </tr> <tr> <td>intensity</td> <td>intensity</td> <td>counts per second (cps)</td> </tr> <tr> <td>ID</td> <td>mineral ID</td> <td>unitless</td> </tr> <tr> <td>mineral</td> <td>mineral name</td> <td>unitless</td> </tr> <tr> <td>duration</td> <td>reaction duration</td> <td>minutes</td> </tr> </tbody> </table> <p><strong>Extra Notes</strong></p> <p>A reaction duration of zero minutes corresponds to an unreacted mineral sample.</p>
North American Regional Reanalysis (NARR) data used in "Passive Tracer Modelling at Super-Resolution with WRF-ARW to Assess Mass-Balance Schemes"
<p>North American Regional Reanalysis (NARR) data from National Oceanic and Atmospheric Administration (NOAA) - 20 August 2013, 26 August 2013, 2 September 2013 - used as input information (initial and boundary condition) for WRF simulations described in "Passive Tracer Modelling at Super-Resolution with WRF-ARW to Assess Mass-Balance Schemes" (Fathi et al., 2022 - egusphere-2022-1125). NARR data can be accessed and downloaded at the following web address "https://www.ncei.noaa.gov/products/weather-climate-models/north-american-regional/". </p>
Constraining Bedrock Groundwater Residence Times in a Mountain System with Environmental Tracer Observations and Bayesian Uncertainty Quantification: Modeling and Data Package
<p>Here we present field observations of dissolved noble gases (He, Ne, Ar, Kr, and Xe), Chloroflourcarbons (CFCs), Sulfurhexaflouride (SF6), and tritium (3H) sampled from the PLM1, PLM6, and PLM7 wells in the East River Colorado (USA) sampled in May, 2021. This observation dataset, along with the presented python modeling scripts to interpret the data, can aide in quantifying groundwater residence times and recharge conditions. The README files describes the directories and scripts.</p>
Atmospheric oxygen as a tracer for fossil fuel carbon dioxide: a sensitivity study in the UK
<p>Abstract. We investigate the use of oxygen (O2) and carbon dioxide (CO2) measurements for the estimation of the fossil fuel component of atmospheric CO2 in the UK. Atmospheric potential oxygen (APO) – a tracer that combines O2 and CO2, minimising the influence of terrestrial biosphere fluxes – is simulated at three sites in the UK, two of which have APO measurements. We present a set of model experiments that estimate the sensitivity of APO simulations to key inputs: fluxes from the ocean, fossil fuel flux magnitude and distribution, the APO baseline, and the ratio of O2 to CO2 fluxes from fossil fuel combustion and the terrestrial biosphere. To estimate the influence of uncertainties in ocean fluxes, we compared three ocean O2 flux estimates, from the NEMO – ERSEM and ECCO-Darwin ocean models, and the Jena Carboscope inversion. The sensitivity of APO to fossil fuel emission magnitudes and to terrestrial biosphere and fossil fuel exchange ratios was investigated through Monte Carlo sampling within literature uncertainty ranges, and by comparing different inventory estimates. Of the factors that could potentially compromise APO-derived fossil fuel CO2 estimates, we find that the ocean O2 flux estimate has the largest overall influence at the three sites in the UK. At times, this influence is comparable to the contribution to APO of simulated fossil fuel CO2. We find that simulations using different ocean fluxes differ from each other substantially, with no single estimate, or a simulation with zero ocean flux, providing a significantly closer fit to the observations. Furthermore, the uncertainty in the ocean contribution to APO could lead to uncertainty in defining an appropriate regional background from the data. Our findings suggest that the contribution of non-terrestrial sources need to be well accounted for, in order to reduce their potential influence on inferred fossil fuel CO2.</p>
CDOM spectral slope (S275-295) as tracers of water masses, CDOM heterogeneity, and 14C-DOC in an oligotrophic marginal sea
<p>The present study is focused on the CDOM vertical profiles in the northern South China Sea. The results suggest humic-like FDOM is controlling the variation of the spectral slope of CDOM (<em>S</em><sub>275-295</sub>). In addition, our results suggest <em>S</em><sub>275-295</sub> could be used as tracers of water mass, CDOM diversity and radiocarbon age of dissolved organic carbon in oligotrophic ocean.</p>
AssureMOSS Prospector Reports Dataset (Tracer)
<p>This dataset contains 1316 reports obtained with <a href="https://sap.github.io/project-kb/prospector/">Prospector</a>, an open-source repository mining tool developed by SAP Security Research and the <a href="https://assuremoss.eu">AssureMOSS consortium</a>.</p> <p>The vulnerabilities covered by this dataset correspond to a subset of the vulnerabilities from the Tracer "depth" dataset, obtained from https://patch-tracer.github.io</p>
BP-tracer: Supplementary Data 2
<p><strong>Supplementary Data 2 of BP-tracer</strong></p> <p>Including:</p> <p>1. BP-Tracer analysis results of simulated metagenomes </p> <p>2. BP-Tracer analysis results of real metagenomes</p>
Protonated hydrogen cyanide as a tracer of pristine molecular gas
<p>The data cubes used in<a href="https://www.aanda.org/articles/aa/full_html/2023/11/aa47409-23/aa47409-23.html"> Gong et al., (2023), A&A, 679, A39 </a></p>
Supplementary Files: processed model results for freshwater tracer concentration and filling/flushing time
<p>FWdye_avg_241yr_300yr: monthly and inter-annual mean tracer concentrations for model years 241 to 300.</p> <p>FWdye_outflux_avg_271yr_300yr: freshwater tracer sinks fluxes averaged for model years 271 to 300.</p> <p>FW_flux_avg_001yr_060yr: monthly averaged freshwater fluxes with seasonal and inter-annual variability for one cycle of COREII.</p> <p>filltime_basinWE_001yr_300yr: processed river water tracer filling time on shelf seas for model years 1 to 300.</p> <p>filltime_basinWE_01yr_60yr_1yrimpulse: processed flushing time for one year released impulse test for model years 1 to 60.</p>
Imaging With a Radio Tracer to Guide VT Ablations
ClinicalTrials.gov study NCT01250912. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Development and Translation of Generator-Produced PET Tracer for Myocardial Perfusion Imaging-Dosimetry Group
ClinicalTrials.gov study NCT05280782. IPD Sharing: NO. Countries: 1. Publications: 1.
S1415CD, Trial Assessing CSF Prescribing Effectiveness and Risk (TrACER)
ClinicalTrials.gov study NCT02728596. IPD Sharing: Not stated. Countries: 2. Publications: 5.
A Study of PET Scans With the Radioactive Tracer 18F-BMS-986229 in Patients With Esophageal, Stomach, or Gastroesophageal Junction Cancer
ClinicalTrials.gov study NCT04161781. IPD Sharing: YES. Countries: 1. Publications: 1.
Carbon, nitrogen and tracer 15N recovered in aboveground oak tissues in central coastal Florida
Open the record for dataset details and reuse information.
A new method to reconstruct quantitative food webs and nutrient flows from isotope tracer addition experiments
Open the record for dataset details and reuse information.
Enhancing understanding of the hydrological cycle via pairing of process‐oriented and isotope ratio tracers
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