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12 results for “surface diffusion”
Electrical Low-Frequency 1/fγ Noise Due to Surface Diffusion of Scatterers on an Ultra-low-Noise Graphene Platform
<p>Experimental dataset for article “Electrical Low-Frequency 1/<em>f<sup>γ</sup></em> Noise Due to Surface Diffusion of Scatterers on an Ultra-low-Noise Graphene Platform”, <em>Nano letters</em>, <strong>21</strong>(18), 7637-7643 (2021), <a href="https://doi.org/10.1021/acs.nanolett.1c02325">doi: 10.1021/acs.nanolett.1c02325</a></p>
Horizontal surface eddy diffusion implementation in CESM/MOM6
<p>The source code, input files, main results, and plotting/analysis scripts that were used in Marques et a., 2023 submitted to JAMES.</p> <p>"Representing eddy diffusion in the surface boundary layer of ocean models with general vertical coordinates"</p>
The role of dynamics in heterogeneous catalysis: surface diffusivity and N2 decomposition on Fe(111)
<p>Data related to the molecular dynamics simulations reported in the manuscript "The role of dynamics in heterogeneous catalysis: surface diffusivity and N2 decomposition on Fe(111)"</p><p>- Inputs of the MD simulations of surface morphology and dynamics (LAMMPS)</p><p>- Inputs of the OPES simulations for N2 adsorption and dissociation (LAMMPS+PLUMED)</p><p>- MD outputs: trajectory files</p><p>- Code for analysis and post-processed data</p><p>- Jupyter notebook to reproduce the pictures reported in the manuscript</p>
Ga interaction with ZnO surfaces: diffusion and melt-back etching_experimental dataset
<p>This archive contains the raw unfileterd data to the Pejchal et al., Ga interaction with ZnO surfaces: diffusion and melt-back etching, <a href="https://www.sciencedirect.com/journal/applied-surface-science">Applied Surface Science</a>, <a href="https://www.sciencedirect.com/journal/applied-surface-science/vol/583/suppl/C">Volume 583</a>, 1 May 2022, 152475. </p>
Design of soft material surfaces with rationally tuned water diffusivity
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Estimates of surface layer net community production based on underway Lagrangian measurements of the dissolved O2/Ar ratio using Equilibrator Inlet Mass Spectrometry (EIMS), based on both steady-state and non-steady-state assumptions of the mixed-layer biological oxygen budget. Also included are estimates of the potential contribution of vertical fluxes: advection, eddy diffusion, and entrainment.
The ratio of dissolved oxygen to argon in surface seawater is frequently employed to estimate rates of net community production (NCP) in the oceanic mixed layer. The in situ O2/Ar-based method accounts for many physical factors that influence oxygen concentrations in the surface ocean, permitting isolation of the biological oxygen signal produced by the balance of photosynthesis and respiration. However, this technique traditionally relies upon several assumptions when calculating the mixed layer O2/Ar budget, most notably the absence of vertical fluxes of O2/Ar and the existence of a steady-state balance between net productivity and the air-sea gas exchange of biological oxygen. Employing a Lagrangian study design and leveraging data outputs from a regional physical oceanographic model, we conducted in situ measurements of O2/Ar in the California Current Ecosystem in spring 2016 and summer 2017 to evaluate these assumptions within a ‘worst-case’ field environment. Quantifying the magnitude of vertical fluxes and comparing NCP estimates obtained using steady-state versus non-steady-state assumptions, we find the importance of the non-steady-state term to be considerable, also observing significant potential effects from vertical flux terms, particularly advection. Additionally, we observe strong diel variability in O2/Ar and calculated NCP rates at multiple stations. Our results reemphasize the importance of accounting for vertical fluxes when interpreting O2/Ar-derived NCP data as well as the potentially large effect of non-steady-state conditions, including diel cycles in surface O2/Ar that can bias interpretation of NCP data based on local productivity and the time of day at which measurements were made.
UV light-generated superhydrophilicity of a titanium surface enhances the transfer, diffusion, and adsorption of osteogenic factors from a collagen sponge
<p>Blood in the collagen sponge does not transfer to untreated implant. While, blood in the collagen sponge immediately and rapidly transfers to UV-treated implant. Blood spreads entire implant body in 10 seconds.</p>
SCM files for "Representing Effects of Surface Heterogeneity in a Multi-Plume Eddy Diffusivity Mass Flux Boundary Layer Parameterization"
<p>Supporting files for manuscript "Representing Effects of Surface Heterogeneity in a Multi-Plume Eddy Diffusivity Mass Flux Boundary Layer Parameterization" by N.P. Arnold.</p> <p>The data consists of source code modifications relative to v11.2.0 of the GEOS GCM, modified boundary conditions for running single column model experiments, and netcdf model output from those experiments.</p>
Listeners sensitivity to different locations of diffusive surfaces in performance spaces: the case of a shoebox concert hall
<p>The data set represent the auralization files of the subjective investigation on Listeners sensitivity to different locations of diffusive surfaces in performance spaces: the case of a shoebox concert hall (ESPRO-IRCAM). </p> <p>The name of each file (e.g. 1_DummyHead1_C_No13_ceiling10.0_Run1__Dode1_mahler) gives infomation on:</p> <p>- Two Artificial heads locations: DummyHead1 and DummyHead1</p> <p>- Two configurations for the Absoprtive condition (C_No16=Df-A and C_No18=Dr-A) and Two configurations for the Reflective condition (C_No13=Df-R and C_No15=Dr-R)</p> <p>- Two source locations: Dode 1 and Dode 2</p> <p>- Music/signal tested: Mahler, Trumpet, Pink noise</p> <p>- paper: https://www.mdpi.com/2076-3417/10/12/4370</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Scale and Space Dependent Horizontal Eddy Diffusivity at the Global Surface Ocean
<p>Sea surface temperature (SST) and idealized temperature tracer based estimates of horizontal diffusivity at the ocean surface. See https://doi.org/10.5281/zenodo.4126315 for the code to reproduce these estimates.</p> <p>There are two files which include the following</p> <p>KxKy_SST_MITGCM_025.nc</p> <p>SST based estimates are based on 35 years of satellite SST data (1982-2017) and we have divided the data in 30 chuncks, both using a 5 year and 10 year sub-sampling. The 'ens' dimension marks these chuncks whereas 'lat' and 'lon' mark the two Cartesian directions (latitude and longitude). Note that 'ens' can be also viewed as time.</p> <p>There are two fields 'Kx' and 'Ky' for each dataset ('SST' for the OI-SST based estimates or 'MITGCM' for the tracer simulation based estimates) and length of sub-sampling. 'Kx' is the diffusivity in 'lon' direction whereas 'Ky' is the diffusivity in 'lat' direction. Data is given at 0.25° resolution, but the effective resolution is twice that i.e. 0.5°.</p> <p>K_SST_MITGCM_2deg.nc</p> <p>Scale dependent estimate of the diffusivity magnitude i.e. <span class="math-tex">\(K= \sqrt{K_xK_y}\)</span> . As for the other data, here as well the estimates are done using 5 year and 10 year sub-sampling, and all the data is interpolated to a common 2° by 2° global grid. The coordinate 'dg' defines the scale in degrees. Note that again the effective resolution of the estimates is twice the 'dg'.</p> <p> </p> <p> </p>
PECULIARITIES OF EPITAXIAL DIFFUSION CoSi2 FILMS GROWN ON THE SURFACE OF FLUORITE
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Movies used in manuscript "Cellular glycosaminoglycans and viral protein glycosylation regulate diffusion and entry of herpesvirus at cell surface
<p>Movies S1. Timelapses of HSV-1 (KOS strain) diffusing at the surface of (A) wt CHO-K1 cells expressing both herapan sulfate (HS) and chondroitin sulfate (CS), (B) wt CHO cells treated with chondroitinase ABC, lacking chondroitin sulfate (CHO-ΔCS), (C) pgsD-677 lacking HS (CHO-ΔHS). (D) Timelapse of HSV-1 (KOS strain) on wt HaCat cells. (E) Timelapse of the mutant HSV-1 (KOS-gCΔmuc) on wt HaCat cells. The scale bar represents 10 μm. Using Fiji, all movies were corrected for uneven background using the same procedure with a rolling ball of 50 and the noise was despeckled. The LUT thresholds were set to be 10 as minimum and 50 as maximum for all videos. Finally, the movies were then saved as .avi using an acceleration of 50 frame per second. (F) The virus trajectories reconstructed using Trackmate are shown on the movie corresponding to A for wt CHO. The colors of the trajectory are arbitrary.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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