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982 results for “interface”
Laser assisted fabrication of mechanochemically robust Ti3Au intermetallic at Au-Ti interface
<p>Description:</p> <p> a. Materials Properties used in the Finite Element Analysis (FEA): </p> <ol> <li><strong>specific_enthalpy.zip</strong> :The specific enthalpy (h) data for Au and Ti are presented in the table of temperature (K) and specific enthalpy (J/kg) columns. specific_h_au0001.dat file corresponds to gold and specific_h_ti0001.datcorresponds to Titanium. In each of these .dat files, the temperature values are provided in the first column whereas specific enthalpy values are provided in the second column.</li> <li><strong>viscosity.zip folder</strong>: The viscosity (mu) data for Au and Ti are presented in the table of temperature (K) and viscosity (Pa S) columns. mu_Au.dat file corresponds to gold and mu_Ti.dat corresponds to Titanium. In each of these .dat files, the temperature values are provided in the first column whereas viscosity values are provided in the second column. Solid regimes are assumed to be of high viscosity values. </li> </ol> <p> b. <strong>information_total_geometry_microscale.csv</strong>: This is the data related to finite element analysis. The information geometrical dimensions of the overall geometry (combined geometry consisting of bottom titanium layer and upper gold layer) and the numbers of 1D, 2D and 3D mesh elements is provided in this file. This is the data associated with Fig. 8(a) in the paper.</p> <p>c. <strong>top_and_bottom_layers_comparison_microscale.csv</strong>: The data in this file is presented to emphasize the role of creating finite element meshes of different densities. This file only presents the information about the geometrical dimensions and 3D mesh elements. This file specifically compares the number of mesh elements between the top gold layer and bottom titanium layer. The gold layer (2 micrometers in height) is 25 times thinner than the titanium layer (50 micrometers). However, the number of 3D volume elements in the titanium layer is only 2.19 times more than that of gold layer. So, the upper Au layer has relatively fine meshing and lower Ti layer has relatively coarse meshing. </p> <p> <br>d. <strong>radial_distance_irradiance_intensity_data.csv</strong>: The data is related to laser related aspects in the finite element analysis. This file consists of the data showing the distribution of irradiance (W/m^2) with the radial distance (r) from the center of the beam spot for a flat top heat source described with the expression I = \frac{P}{3.14*r0^2} U*|r0-r| . In this work, laser power = 100.0 W and beam spot radius (r0) = 122.5 micrometers. The 3D visualization of this data is provided at: </p> <p> </p> <p>e. l<strong>aser_material_interface.csv</strong>: This file outlines the major concepts how the laser heat source has been interfaced with the material domain in the finite element analysis. the data is in the string format.</p> <p> </p> <p>f. <strong>initial_configurations_of_molecular_slabs.zip</strong>: The configuration of molecular slabs of HCP Ti and Simple Cubic Ti3Au intermetallics are respectively presented as two separated files.</p> <p>g. <strong>nanoindentation-force-ti3au-imc.csv</strong>: The data of indentation depth (Angstrom) and force (nN) in the upper active region for the Ti3Au slab are presented. </p> <p>h. <strong>nanoindentation-force-titanium.csv</strong>: The data of indentation depth (Angstrom) and force (nN) in the upper active region for the Ti slab are presented. </p> <p> </p> <p> </p> <p> </p>
Data for Responsive Soft Interface Liquid Crystal Microfluidics
<p>The data used in the article entitled Responsive Soft Interface Liquid Crystal Microfluidics.</p>
Fluid Interfaces in Mixed-Wet Bead Packs: Insights from 3D X-Ray Imaging
<p>Data for beads curvature: The data on mean curvature on a 200×140×170 voxel dry image before and after the removal of any points within 5 voxels of bead contacts. </p> <p> </p> <p>Data for fluid interfacial curvature between oil and brine: The data on mean and Gaussian curvature distribution on a 930×930×860 voxel wet image. The curvature data is provided for both before and after the removal of points within one voxel of the three-phase contact line.</p>
Dominant controls on coastal saline groundwater across North America: groundwater head and density interface at the stable state
<p>Resulting datasets described and evaluated in "Dominant controls on coastal saline groundwater across North America". </p> <p>The CSV's data is organized in columns.</p> <p>They contain the columns "spatID", "lat", "lon" and "head 492" / "zeta1 492", respectively. </p> <p>The columns "spatID" may be used to merge the two datasets.</p>
Water in peripheral TM-interfaces of Orai1-channels triggers pore opening
Open the record for dataset details and reuse information.
Diffraction data for Zajdel et al Turning Molecular Springs into Nano-Shock Absorbers ACS Appl. Mater. Interfaces 2022, 14, 26699−26713
<p>Datasets required to reproduce:</p> <p>Individual files</p> <p>Fig. 1,- XRDs of materials collected on DiscoverD, CuKa</p> <p>(BT-1.zip)</p> <p>Fig. 4a. - neutron powder diffraction of ZIF-8 + 2D2O/1H2O mix collected at the BT-1 diffractometer of the NIST Center of Neutron Research at 30C. For plot the data were normalized to a common scale in counts/h</p> <p>Fig. 4c. Fullprof PCR file and VESTA model with the volmetric data *.pgrid</p> <p>Fig. 4d Single detector file Z8221010.bt1 and raw pressure output + reduced data (Zenodo_30C_drops_Fig4d.DAT).</p> <p>Fig. 4b VSANS (110) integration results Up and Down (VSANS.zip)</p>
Preparation techniques of thin cyanoacrylate adhesive films for interface analysis
<p>For understanding the interactions between adhesives and different surfaces, the in-situ characterization of the interface is essential. Especially for highly reactive cyanoacrylates, better known as instant adhesives, the adhesion mechanism is poorly understood because, among other things, the characterization of the interface is difficult. The objective of this work is to evaluate the methods of thermal evaporating and spin coating to produce nm-thin, homogeneous films of cyanoacrylate. The aim is to enable spectroscopic analysis of the interface in the future.</p>
Interface between Trapped-Ion Qubits and Traveling Photons with Close-to-Optimal Efficiency
<p>Datasets for the publication "Interface between Trapped-Ion Qubits and Traveling Photons with Close-to-Optimal Efficiency", PRX Quantum (2021)</p>
Bonding mechanism of cyanoacrylate on SiO2 and Au: Spectroscopic studies of the interface
<p>Cyanoacrylates form a highly reactive class of adhesives that develop significant adhesive strength to surfaces within a few seconds. Despite their commercial use, the exact bonding mechanism is virtually unknown. In the present work, we spin coat nm-thin films of ethyl cyanoacrylate on the two model substrates gold and silicon dioxide. The objective of the studies is to identify chemical interactions at the interface between adhesive and metal (oxide) which are possible reasons for film adhesion on the macroscopic scale. For this purpose, thin films of ethyl cyanoacrylate are investigated by X-Ray photoelectron spectroscopy.</p>
Effects of a Vibro-Tactile P300 Based Brain-Computer Interface on the Coma Recovery Scale-Revised in Patients With Disorders of Consciousness
<p>Persons diagnosed with disorders of consciousness (DOC) typically suffer from motor and cognitive disabilities. Recent research has shown that non-invasive brain-computer interface (BCI) technology could help assess these patients’ cognitive functions and command following abilities. 20 DOC patients participated in the study and performed 10 vibro-tactile P300 BCI sessions over 10 days with 8–12 runs each day. Vibrotactile tactors were placed on the each patient’s left and right wrists and one foot. Patients were instructed, via earbuds, to concentrate and silently count vibrotactile pulses on either their left or right wrist that presented a target stimulus and to ignore the others. Changes of the BCI classification accuracy were investigated over the 10 days. In addition, the Coma Recovery Scale-Revised (CRS-R) score was measured before and after the 10 vibro-tactile P300 sessions. In the first run, 10 patients had a classification accuracy above chance level (>12.5%). In the best run, every patient reached an accuracy ≥60%. The grand average accuracy in the first session for all patients was 40%. In the best session, the grand average accuracy was 88% and the median accuracy across all sessions was 21%. The CRS-R scores compared before and after 10 VT3 sessions for all 20 patients, are showing significant improvement (<em>p</em> = 0.024). Twelve of the twenty patients showed an improvement of 1 to 7 points in the CRS-R score after the VT3 BCI sessions (mean: 2.6). Six patients did not show a change of the CRS-R and two patients showed a decline in the score by 1 point. Every patient achieved at least 60% accuracy at least once, which indicates successful command following. This shows the importance of repeated measures when DOC patients are assessed. The improvement of the CRS-R score after the 10 VT3 sessions is an important issue for future experiments to test the possible therapeutic applications of vibro-tactile and related BCIs with a larger patient group.</p>
Progeny Project MW1 surfactant at water-vacuum interface simulation data, 1 to 48 molecules per surface
<p>"MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted.</p> <p>Different number of molecules per surface in each sub directory. See Readme.txt.</p>
Progeny Project MW1 surfactant at water-vacuum interface simulation data, 60 to 154 molecules per surface
<p>"MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted.</p> <p>Different number of molecules per surface in each sub directory. See Readme.txt.</p>
Progeny Project MW1 surfactant at water-vacuum interface simulation data, 161 to 175 molecules per surface
<p>"MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted.</p> <p>Different number of molecules per surface in each sub directory. See Readme.txt.</p>
Progeny Project Gromacs input and trajectories of a C12E6 surfactant model at the vacuum-water interface
<p>This is gromacs 2021.2 input and output for an all-atom C12E6 surfactant molecule at the water-vacuum<br> interface with TIP4P-ew and SPC/E water models.</p>
Simulation data associated to the manuscript "Controlling the Hydrophilicity of the Electrochemical Interface to Modulate the Oxygen-Atom Transfer in Electrocatalytic Epoxidation Reactions"
<p>Contains input files used to perform the simulations of the article:</p> <p>Controlling the Hydrophilicity of the Electrochemical Interface to Modulate the Oxygen-Atom Transfer in Electrocatalytic Epoxidation Reactions</p> <p>Florian Dorchies, Alessandra Serva, Dorian Crevel, Jérémy de Freitas, Nikolaos Kostopoulos, Marc Robert, Ozlem Sel, Mathieu Salanne and Alexis Grimaud<br> *ChemRxiv*, 2022</p> <p>https://doi.org/ 10.26434/chemrxiv-2022-wjsbs-v2</p> <p>Each folder contains 2 input files for MetalWalls, which is available [here](https://gitlab.com/ampere2/metalwalls). The corresponding systems are the following:</p> <ul> <li>Bulk liquids: <ul> <li>Acetonitrile - water - LiClO4</li> <li>Acetonitrile - water - LiClO4 with cyclooctene</li> <li>Acetonitrile - water - TBAClO4</li> <li>Acetonitrile - water - TBAClO4 with cyclooctene</li> </ul> </li> <li>Liquids in contact with gold electrodes: <ul> <li>Acetonitrile - water - LiClO4</li> <li>Acetonitrile - water - LiClO4 with cyclooctene</li> <li>Acetonitrile - water - TBAClO4</li> <li>Acetonitrile - water - TBAClO4 with cyclooctene</li> </ul> </li> </ul>
MODELING.VIS: Video Tutorial and Instructions to use the Graphical User Interface Toolbox
<p>INTRODUCTION: MODeLING.Vis was designed as an attempt to perform interactive data analyses. Given the software's effectiveness in extracting valuable information from the experimental data presented in this study, the applied methods and principles have been presented together with the analysis of results, and the code has been shared. Note, however, that MODeLING.Vis is not commercial, which constrains efforts behind scientific investigations.</p> <p>HYPOTHESIS: For a better understanding of the Graphical User Interface Toolbox, a demo and user manual of the toolbox should be provided for the convenience of users. The electrophoretic dataset should be published together with the tutorial for ease of access. </p> <p>METHODOLOGY: Creation of a practical video tutorial demonstrating how to download, install, run and operate MODeLING.Vis. Direct access to the electrophoretic dataset (protLabled.xls) is provided. </p>
Polymer nanoparticles pass the plant interface
<p>As agriculture strives to feed an ever-increasing number of people, it must also adapt to increasing exposure to minute plastic particles. To learn about the accumulation of nanoplastics by plants, we prepared well-defined block copolymer nanoparticles by aqueous dispersion polymerisation. A fluorophore was incorporated via hydrazone formation and uptake into roots and protoplasts of Arabidopsis thaliana was investigated using confocal microscopy. Here we show that uptake is inversely proportional to nanoparticle size. Positively charged particles accumulate around root surfaces and are not taken up by roots or protoplasts, whereas negatively charged nanoparticles accumulate slowly and become prominent over time in the xylem of intact roots. Neutral nanoparticles penetrate rapidly into intact cells at the surfaces of plant roots and into protoplasts, but xylem loading is lower than for negative nanoparticles. These behaviours differ from those of animal cells and our results show that despite the protection of rigid cell walls, plants are accessible to nanoplastics in soil and water.</p>
Dataset for 'Effects of bubble plumes on lake dynamics, near-bottom turbulence, and transfer of dissolved oxygen at the sediment-water interface'
<p>The dataset associated with the article "Effects of bubble plumes on lake dynamics, near-bottom turbulence, and transfer of dissolved oxygen at the sediment-water interface". </p>
Usability results of the ENCORE database interface through the SUS questionnaire
<p>This repository contains the results derived from the analysis of the SUS questionnaire answers in regard to the ENCORE project's database management system interface.</p>
Numerical Investigation of Interface Passivation Strategies for Sb2Se3/CdS Solar Cells
<p>Sb<sub>2</sub>Se<sub>3</sub> is an emerging earth-abundant material praised for its promising optoelectronic properties, although the presence of interfacial defects at the vicinity of the p–n junction limit its performance as photovoltaic absorber. Using a device modeling approach and a realistic set of material parameters, it unravels pathways mitigating the impact of interfacial defects with a baseline Sb<sub>2</sub>Se<sub>3</sub>/CdS. Two straightforward strategies are devised and tested against the baseline. First, a thin front surface sulfurization of the Sb<sub>2</sub>Se<sub>3</sub> absorber allowing a local lowering of the valence band and creating a “front surface field,” resulting in an increased carrier selectivity and limiting the density of holes available for interface recombination, leading to a significant efficiency improvement for optimized conditions. Second, the use of an ultrathin insulating Al<sub>2</sub>O<sub>3</sub> layer between the absorber and the buffer layer is considered, helping in preventing detrimental chemical interdiffusion at the junction. This strategy provides a direct interface passivation, though the interlayer thickness needs a fine tuning to balance the benefits of reduced interface recombination and a detrimental Al<sub>2</sub>O<sub>3</sub> low-conductivity layer. In each case, an analysis covering a broad range of parameters is presented, and conclusions are made in the frame of past numerical and experimental results.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.