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986 results for “exchange”
Dataset from Reese et al.: "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" - PART 2
<p>Model data from the numerical setup of the tidal Elbe presented in Reese et al. (2023): "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" [1]</p><p>PART 2</p><p>Each file contains data for a full month, as given through the file naming convention: description.YYYYMMDD.nc4</p><p>The numerical model uses terrain-following sigma coordniates, with sigma level 0 being the bottommost layer.</p><p>Certain variables are also given in salinity class bins of dimension salt_s instead of vertical coordinates.</p><p>Explanation of each data type:</p><ul><li>Mean_all: Spatially resolved, temporally varying salt distribution in the Elbe estuary: Fig. 6, 10<ul><li>1-hourly averages</li></ul></li></ul><p> </p><p>[1] L. Reese, U. Graewe, K. Klingbeil, X. Li, M. Lorenz, H. Burchard, 2023:</p><p> Local mixing determines spatial structure of diahaline exchange flow in a</p><p> mesotidal estuary – a study of extreme runoff conditions.</p><p> J. Phys. Oceanogr., in press.</p>
Replica-Exchange with Solute Tempering (REST2) Simulations of Histone Tails
<p>Replica at 300 K 1 bar 1 µs trajectories and corresponding parameter files for histone tails alone or with a DNA fragment. The parameter files containing IDP modification are indicated as "idp". </p><p>With DNA fragment, the trajectories are given without solvent and ion and called "nosol". </p>
Real-time influence of intracellular acidification and Na+/H+ exchanger inhibition on in-cell pyruvate metabolism in the perfused mouse heart: A 31P-NMR and hyperpolarized 13C-NMR study
<p>This dataset contains primary data for DOI: 10.1002/nbm.4993</p> <p>NMR in Biomedicine. 2023; 10;e4993</p> <p>Title: Real-time influence of intracellular acidification and Na+/H+ exchanger inhibition on in-cell pyruvate metabolism in the perfused mouse heart: A 31P-NMR and hyperpolarized 13C-NMR study</p> <p>Authors: David Shaul, Naama Lev-Cohain, Gal Sapir, Jacob Sosna, J. Moshe Gomori, Leo Joskowicz, Rachel Katz-Brull</p> <p> </p> <p>Description:</p> <p>These primary datasets contains data presented in the above publication and consist of 31P- (at thermal equilibrium) and hyperpolarized 13C-NMR spectra. </p> <p>Please consult the Archive Guide.</p>
Drinking Fountain Royal Exchange
A drinking fountain on the south side of Threadneedle Street, London. Date: 1879 http://www.mdfcta.co.uk/details-f/f004.html Photos taken in February 2019 with a Sony a6000 and processed in Agisoft Metashape. Source: Objaverse 1.0 / Sketchfab
Tomography of entangling two-qubit logic operations in exchange-coupled donor electron spin qubits
<p>Scalable quantum processors require high-fidelity universal quantum logic operations in a manufacturable physical platform. Donors in silicon provide atomic size, excellent quantum coherence and compatibility with standard semiconductor processing, but no entanglement between donor-bound electron spins has been demonstrated to date. Here we present the experimental demonstration and tomography of universal 1- and 2-qubit gates in a system of two weakly exchange-coupled electrons, bound to single phosphorus donors introduced in silicon by ion implantation. We surprisingly observe that the exchange interaction has no effect on the qubit coherence. We quantify the fidelity of the quantum operations using gate set tomography (GST), and we use the universal gate set to create entangled Bell states of the electrons spins, with fidelity ≈ 93%, and concurrence 0.91 ± 0.08. These results form the necessary basis for scaling up donor-based quantum computers.</p>
Uncertainties of Predictions from Temperature Replica Exchange Simulations
<p>Parallel tempering molecular dynamics simulation, also known as temperature replica exchange simulation, is a popular enhanced sampling method used to study biomolecular systems. This method makes it possible to calculate the free energy differences between states of the system for a series of temperatures. We developed a method to easily calculate errors (standard errors or confidence intervals) of these predictions using a modified version of our recently introduced JumpCount method. The number of transitions between states (e.g. protein folding events) is counted for each temperature. This number of transitions, together with the temperature, fully determines the value of standard error or the confidence interval of the free energy difference. We also address the issue of convergence in the situation where all replicas start from one state by developing an estimator of the equilibrium constant from simulations that are not fully equilibrated. The prerequisite of the method is the Markovianity of the process studied.</p>
N-type molecular doping of a semicrystalline conjugated polymer through cation exchange
<p>N-type molecular doping of a semicrystalline conjugated polymer through cation exchange was conducted. UV-Vis absorption, photoelectron yield, and x-ray diffraction measurements were conducted to evaluate the resulting doping levels and stability.</p>
Characterizing Macroporous Ion Exchange Membrane Adsorbers for Natural Organic Matter (NOM) removal — Adsorption and Regeneration behavior
Open the record for dataset details and reuse information.
Dataset for "Effects of drought on carbonyl sulfide exchange in four plant species"
<p>Additional funding:</p> <p><span>Tyrolian Science Fund (UNI-404/2318)</span></p> <p><span>FWF I03859</span></p>
Data in support of manuscript "Impacts of storm surge barriers on drag, mixing, and exchange flow in a partially mixed estuary" submitted to JGR-Oceans
<p>Data set in support of manuscript "Impacts of storm surge barriers on drag, mixing, and exchange flow in a partially mixed estuary" submitted to JGR-Oceans in November 2021. Matlab script (makeFigs_barDragMix_upload.m) is used to generate the figures from the manuscript. Data files (*.mat) correspond with each figure (*.png). For questions or additional information please contact D. Ralston.</p>
Relationships between allometric patterns of the submerged macrophyte Vallisneria natans, its stoichiometric characteristics, and the water exchange rate
<p><span>Variation in the water exchange rate (WER) of freshwater lakes has recently been demonstrated to affect the phenotypic traits of submerged macrophytes. However, whether these responses are size-dependent ("apparent plasticity") or not ("real plasticity") remains unclear. Here, we used allometric analysis to investigate phenotypic plasticity, and the carbon, nitrogen, and phosphorus stoichiometry of the submerged macrophyte<i> Vallisneria natans</i> cultured for 15, 30, 45, and 65 days under three levels of WER (0, 20, and 40% exchange of total volume day<sup>-1</sup>). Result showed that biomass accumulation, below-: above-ground biomass ratio, root length, root diameter, leaf length, and leaf width significantly decreased with increasing WER; however, specific root length was unaffected, and specific leaf area (SLA) gradually increased with increasing WER through the whole experiment. Allometric analyses showed that shifts in leaf width and SLA were determined solely by changes in plant size; all other morphological adjustments were largely size-dependent. Stoichiometric calculations indicated that ramets were mainly N-limited, and this limitation was significantly associated with leaf growth, thereby restricting the potential for real plasticity in leaf morphologies. Thus,<i> V. natans</i> adapts to WER variation largely through apparent plastic responses that reduce the demand for plant nutrients. </span></p>
Conceptualizing relationships among hyporheic exchange, storage, and water age: data represented in published figures
<p>Hyporheic exchange is a key driver of ecosystem processes in streams, yet stream ecologists often fail to leverage detailed conceptual models developed by engineers and hydrologists describing the relationship between water storage, water balance, and water age (time elapsed since a conceptual parcel of water entered the hyporheic zone) in hyporheic zones. In a companion paper (G.C. Poole et al. <em>Hyporheic Hydr</em><em>au</em><em>lic Geometry: Conceptualizing relationships among hyporheic exchange, storage, and water age</em>, published in PLoS ONE; doi:<a href="https://doi.org/10.1371/journal.pone.0262080">10.1371/journal.pone.0262080</a>), we provide visualizations of these relationships in an effort to allow non-hydrologists to grasp four primary concepts along with associated research and management implications: 1) the rate of hyporheic exchange, size of the hyporheic zone, and hyporheic water age are inexorably linked; 2) such linkages can be leveraged to build understanding of hyporheic processes; 3) the age distribution of hyporheic water and hyporheic discharge is heavily skewed toward young water ages -- at any temporal scale of observation (minutes, hours, days, or months) older hyporheic water is rare relative to younger water; 4) the age distribution of water discharged from any hyporheic zone is not the same as the age distribution of water stored within that hyporheic zone. The data set presented here represents the numerical values represented by the figures published in the companion paper.</p>
Investigating the Point of View of Project Management Practitioners on Technical Debt - A Preliminary Study on Stack Exchange
<p>Dataset used in the work 'Investigating the Point of View of Project Management Practitioners on Technical Debt - A Preliminary Study on Stack Exchange'.</p> <p>Authors not presented due to double blind review.</p>
Investigating the Point of View of Project Management Practitioners on Technical Debt - A Preliminary Study on Stack Exchange
<p>Dataset used in the work 'Investigating the Point of View of Project Management Practitioners on Technical Debt - A Preliminary Study on Stack Exchange'.</p>
Seagrass deformation affects fluid instability and tracer exchange in canopy flow
<p>Data and code used for the preparation of the manuscript "Seagrass deformation affects fluid instability and tracer exchange in canopy flow" (Vieira, Allshouse & Mahadevan 2022).</p> <p><em>Data and Code Repository Organization</em></p> <ul> <li><strong>data/ </strong>: contains the data presented in the manuscript (in .cdf and .mat format);</li> <li><strong>code/ </strong>: contains the code used for the numerical simulations (PSOM) and in processing the data and generating figures (MATLAB)</li> </ul> <p><em>Manuscript Abstract:</em></p> <p>Monami is the synchronous waving of a submerged seagrass bed in response to unidirectional fluid flow. Here we develop a multiphase model for the dynamical instabilities and flow-driven collective motions of buoyant, deformable seagrass. We show that the impedance to flow due to the seagrass results in an unstable velocity shear layer at the canopy interface, leading to a periodic array of vortices that propagate downstream. Each passing vortex locally weakens the along-stream velocity at the canopy top, reducing the drag and allowing the deformed grass to straighten up just beneath it. This causes the grass to oscillate periodically. Crucially, the maximal grass deflection is out of phase with the vortices. A phase diagram for the onset of instability shows its dependence on the fluid Reynolds number and an effective buoyancy parameter. Less buoyant grass is more easily deformed by the flow and forms a weaker shear layer, with smaller vortices and less material exchange across the canopy top. While higher Reynolds number leads to stronger vortices and larger waving amplitudes of the seagrass, waving is maximized at intermediate grass buoyancy. All together, our theory and computations correct some misconceptions in interpretation of the mechanism and provide a robust explanation consistent with a number of experimental observations.</p>
Supplementary Movies: "Probing the dynamics of Streptococcus pyogenes Cas9 endonuclease bound to sgRNA complex using hydrogen-deuterium exchange mass spectrometry"
<p>Movies related to the article "Probing the dynamics of Streptococcus pyogenes Cas9 endonuclease bound to sgRNA complex using hydrogen-deuterium exchange mass spectrometry" in the International Journal of Molecular Science. "MD_Movie_Cas9_sgRNA_DNA" is the video of SpCas9-sgRNA-DNA complex behavior during 50 ns molecular dynamics simulation. In this movie, SpCas9 protein domains are shown in the following colors: REC lobe (green), CTD (blue), RuvC (pink), L-I-II (yellow), Arg (violet), and HNH (orange). RNA presented in cyan, and DNA -in dark blue.</p> <p>Movies "SpCas9_HeatMap" and "SpCas9-sgRNA_HeatMap" show the hydrogen exchange levels superimposed onto the protein structure obtained from MD trajectories. Relative uptake level presented at the time points of 10 s, 30 s, 1 min, 2 min, 5 min, 10 min, 30 min, 60 min, 120 min, 240 min, 360 min, and 480 min. The exchange scale is shown in a rainbow color scheme, where blue corresponds to the minimum uptake, while red corresponds to the highest observed uptake.</p>
Dataset for "Quantifying the effects of bed roughness on transit time distributions via direct numerical simulations of turbulent hyporheic exchange"
<p>This dataset contains the sediment models, DNS flow field data, subsurface path data, and calculated transit time distributions for both the regular- and random-interface cases used in the paper: "Quantifying the effects of bed roughness on transit time distributions via direct numerical simulations of turbulent hyporheic exchange" by Guangchen Shen, Junlin Yuan, and Mantha S. Phanikumar (Submitted to Water Resources Research). <br> Detailed introduction of each data file is as follows.</p> <p>1. DNS flow field data</p> <p>Flowfield_Reg.h5 and Flowfield_Ran.h5 contains the following fields for the regular and random cases, respectively. 'ni', 'nj', 'nk' are the numbers of grid points along x, y, and z directions. 'xc', 'yc', 'zc' are the cell center locations. 'u3d','v3d','w3d' are the three-dimensional time-averaged velocities at each grid point. 'vof' is the volume-of-fluid field used by the immersed-boundary method to prescribe the fluid-solid interface (vof=1 in fluid and 0 in solid), at each grid point. 'vof' contains the information of sediment grain distribution and bed roughness geometry. Only the subsurface data (those below the sediment crest) are shared due to dataset size limit.</p> <p>2. Particle-tracked subsurface flow paths and corresponding transit time distributions</p> <p>The mat files “xxx_pathline” store the (x,y,z) location of each point (saved as 'StrX', 'StrY, 'StrZ') along the subsurface paths, discretized by uniform steps of travel time (with time intervals of 0.1 for 'A' and 0.01 for 'MD' cases, normalized by channel height and friction velocity). The files “xxx_TT” store the array of transit times corresponding to the tracked paths, where the 1d array T is the transit time. 'A' denotes calculations based on time-mean advection only, while 'MD' denotes calculations accounting for additional molecular diffusion. 'Interface' and '3DiameterBelow' indicate that the particles were released at the interface and -3 D below the interface, respectively.</p>
Visualizing local fast ionic conduction pathways in nanocrystalline lanthanum manganite by isotope exchange-atom probe tomography - dataset
<p>Raw data for atom probe tomography 2D elemental reconstructions of 18O-exchanged La0.8Sr0.2MnO3 thin films. LSM thin films were deposited by large-area PLD (PVD Systems – PLD 5000) using a 248 nm KrF excimer laser (Lambda Physics – COMPex PRO 205). The layers were deposited on Al<sub>2</sub>O<sub>3</sub> (0001) single crystal substrate (Crystec GmbH). A thin barrier layer of Ce<sub>0.8</sub>Sm<sub>0.2</sub>O<sub>1.9</sub> (SDC) was deposited before the LSM film in order to avoid cationic intermixing at the interface. Both layers were deposited at 700 °C, under an oxygen pressure of 2.6 × 10<sup>−2</sup> mbar, target–substrate distance of 95 mm, laser fluency ≈1.2 J cm<sup>−2</sup> and 5 Hz of laser frequency. The thickness of LSM and SDC layers deposited was ≈45 nm and ≈35 nm, respectively, as measured by spectroscopy ellipsometry (UVISEL, Horiba scientific).The nominal oxygen exchange temperature and time were 550 °C and 1 h and 40 min, respectively. Instrument Cameca LEAP 4000X Si. APT performed at 45.5 K using a 30 pJ laser energy and 500 kHz pulse rate. The flight path length was 90 mm and the ion detection rate was set to 5 ions per 1000 pulses, resulting in a bias range of 5000–7400 V during the data collection. Reconstructions were generated in Cameca's IVAS 3.6.18 software. A systematic energy deficit correction was employed to improve the mass spectral resolution.</p>
Processed ADCP and CTD Data for the Processes Driving Exchange at Cape Hatteras (PEACH) Program
<p>These are the hourly acoustic doppler current profiler (ADCP) and conductivity-temperature-depth (CTD files from the ten moored bottom frames and buoys deployed as part of the PEACH program. Level 2 data have been quality-controlled and gridded to an hourly time-base. A technical report describing the details of processing and moored aspects of the experiment can be found in: Haines, S., <em>et al.</em> (2022) Mooring Data Report for the Processes driving Exchange at Cape Hatteras (PEACH) Project. (doi:10.5281/zenodo.6380851). </p>
Processed Buoy and Bulk Heat Flux Data for the Processes Driving Exchange at Cape Hatteras (PEACH) Program
<p>These are the hourly buoy and bulk heat flux from National Data Buoy Center (NDBC) buoys and the two buoys deployed as part of the PEACH program. Level 2 data have been quality-controlled and gridded to an hourly time-base. A technical report describing the details of processing and the moored aspects of the experiment can be found in: Haines, S., et al. (2022) Mooring Data Report for the Processes driving Exchange at Cape Hatteras (PEACH) Project. (doi:10.5281/zenodo.6380851).</p>
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OpenNeuro
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