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252 results for “Doping”
Electrical spectroscopy of the spin-wave dispersion and bistability in gallium-doped yttrium iron garnet
<p>Dataset accompanying "Electrical spectroscopy of the spin-wave dispersion and bistability in gallium-doped yttrium iron garnet".</p>
Raw data for HITIMe Deliverable 1.2. - advanced charge doping
<p>Raw data (SEM, EDX) for HiTIMe deliverable 1.2. - advanced charge doping</p>
DFT raw data for "Investigations on electron beam irradiated rare-earth doped SrF2 for application as low fading dosimeter material: Evidence for and DFT simulation of a radiation-induced phase"
<p>This is the DFT data for "<a href="https://pubs.rsc.org/en/content/articlehtml/2022/tc/d2tc01773c">Investigations on electron beam irradiated rare-earth doped SrF2 for application as low fading dosimeter material: Evidence for and DFT simulation of a radiation-induced phase</a>" https://doi.org/10.1039/D2TC01773C . </p> <p>It includes all predicted structures, the structure optimizations and the phonon computations in VASP format. Phonon computations were performed with the finite displacement method.</p>
Original data for: "Nanoscale imaging of mobile carriers and trapped charges in doped silicon p–n junctions"
<p>Original data from the publication.</p>
Source data for the paper A laser-assisted chlorination process for reversible writing of doping patterns in graphene
<p>Source Data supporting the plots within the paper "A laser-assisted chlorination process for reversible writing of doping patterns in graphene." </p> <p>Including Source Data for Figures 1-4 in the main text, and Supplementary Figures S1, S3-12, S14, S17. </p>
Source data for the paper A laser-assisted chlorination process for reversible writing of doping patterns in graphene
<p>Source Data supporting the plots within the paper "A laser-assisted chlorination process for reversible writing of doping patterns in graphene." </p> <p>Including Source Data for Figures 1-4 in the main text, and Supplementary Figures S1, S3-12, S14, S17. </p>
Source data for the paper "A laser-assisted chlorination process for reversible writing of doping patterns in graphene"
<p>Source Data supporting the plots within the paper "A laser-assisted chlorination process for reversible writing of doping patterns in graphene." </p> <p>Including Source Data for Figures 1-4 in the main text, and Supplementary Figures S1, S3-12, S14, S17. </p>
Small atom doping: A synergistic strategy to reduce SnZn recombination center concentration in Cu2ZnSnSe4?
<p>Dataset for the publication 10.1002/solr.202200580. Details can be found at the manuscript.</p>
Data for "Optical properties of sea ice doped with black carbon – an experimental and radiative-transfer modelling comparison"
<p>All data recorded for reflectance and e-folding depth measurements associated with "Optical properties of sea ice doped with black carbon – an experimental and radiative-transfer modelling comparison"</p>
Datasets supplementing journal article "A novel synthesis route with large-scale sublattice asymmetry in boron doped graphene on Ni(111)" in Surfaces and Interfaces 2024
<p>These are the datasets related to the publication "A novel synthesis route with large-scale sublattice asymmetry in boron doped graphene on Ni(111)", Surfaces and Interfaces 51 (2024) 104700 (<a href="https://doi.org/10.1016/j.surfin.2024.104700">https://doi.org/10.1016/j.surfin.2024.104700</a>).</p> <p>STM raw (.sm4, .mtrx) and analysed (.gwy) data can be opened with open source Gwyddion software (http://gwyddion.net/).</p>
Epitaxial Core/Shell Nanocrystals of (Europium-Doped) Zirconia and Hafnia
<p>Data of the figures in the publication <strong>"Epitaxial Core/Shell Nanocrystals of (Europium-Doped) Zirconia and Hafnia" </strong>published in the J. Am. Chem. Soc.: <a href="https://doi.org/10.1021/jacs.4c05037">https://doi.org/10.1021/jacs.4c05037</a><strong><br></strong></p> <p>The <em>.pxp</em> documents contain the experimental data of the figures in the manuscript and SI and they can be opened/edited with the software IGOR Pro 6.3 or higher. </p>
GROMOS-CKP DOPE Simulations (versions 1 and 2) 271 K
<p>Two GROMOS-CKP DOPE bilayer simulations performed using GROMACS 5.0.6 for 500 ns with different starting velocities. Simulations were performed with a 1.4 nm cut-off with PME for the Coulombic and a 1.4 nm cut-off for the van der Waals interactions with a dispersion correction. These simulations were performed at 271 K with a 128 lipid bilayer. The full trajectories are provided bar the initial 100 ns. The starting structure was taken from an equilibrated DOPE membrane simulated with an older version of the force field which used the PC charges in the head group (see the SI of https://pubs.acs.org/doi/abs/10.1021/jp207013v). The newer PE parameters were constructed using the standard GROMOS lysine parameters.</p>
Berger DOPE Simulations (versions 1 and 2) 271 K - de Vries repulsive H
<p>Two Berger-based DOPE bilayer simulations performed using GROMACS 4.0.7 for 200 ns with different starting velocities. Simulations were performed with a 1.0 nm cut-off with PME for the Coulombic and a 1.0 nm cut-off for the van der Waals interactions with a dispersion correction. These simulations were performed at 303 K with a 128 lipid bilayer. The full trajectories are provided bar the initial 100 ns. The starting structure was converted from an equilibrated DOPC membrane simulated with the GROMOS-CKP force field. The DOPE parameters were constructed following the approach used by de Vries et al (https://pubs.acs.org/doi/abs/10.1021/jp0366926), and so include a small repulsive potential on the explicit hydrogen atoms.</p>
Berger DOPE Simulations (versions 1 and 2) 271 K - larger repulsive H
<p>Two Berger-based DOPE bilayer simulations performed using GROMACS 4.0.7 for 300 ns with different starting velocities. Simulations were performed with a 1.0 nm cut-off with PME for the Coulombic and a 1.0 nm cut-off for the van der Waals interactions with a dispersion correction. These simulations were performed at 303 K with a 128 lipid bilayer. The full trajectories are provided bar the initial 100 ns. The starting structure was converted from an equilibrated DOPC membrane simulated with the GROMOS-CKP force field. The DOPE parameters were constructed following the approach used by de Vries et al (https://pubs.acs.org/doi/abs/10.1021/jp0366926), but with a slightly larger repulsive potential included for the explicit hydrogen atoms (designed to increase the area per lipid).</p>
Effect of substrate temperature on the optical and electrical properties of nitrogen-doped NiO thin films
<p>This file contains 2 figures. </p> <p>Fig.S1 Mott–Schottky plots of ITO coated glass.</p> <p>Fig.S2 Room temperature PL spectra of N-doped NiO thin films deposited at room temperature substrate temperature.</p>
DFT datasets for training machine-learning potential to model Cl-doped lithium borosilicate glasses using DeePMD
<h2><strong>Li diffusion in oxygen-chlorine mixed anion borosilicate glasses using</strong></h2> <h2><strong>a machine-learning simulation</strong></h2> <h5>Shingo Urata, Noriyoshi Kayaba</h5> <ul> <li>DFT_Data_for_Cl-doped_LBSCl_glass.zip inlucudes atom configurations, energies, forces, box size, atom types, atom kinds, and virial in coord.raw, energy.raw, force.raw, type.raw, type_map.raw, and virial.raw, respectively. </li> <li>All DFT data were evaluated using PBE with a cutoff energy of 600 eV by VASP.</li> <li>The other detasets are available from https://doi.org/10.5281/zenodo.10577559</li> <li>LBSCl_DMD_model.pb is force field developed using DeePMD-kit.</li> <li>LBSCl_DMD_model_c.pb.zip is the compressed version of LBSCl_DMD_model.pb.</li> </ul>
DFT data from article "Oxide Ion Mobility in V- and P-doped Bi2O3-Based Solid Electrolytes: Combining Quasielastic Neutron Scattering with Ab Initio Molecular Dynamics"
<p>DFT data from article: "Oxide Ion Mobility in V- and P-doped Bi2O3-Based Solid Electrolytes: Combining Quasielastic Neutron Scattering with Ab Initio Molecular Dynamics" (<span><a href="https://pubs.acs.org/doi/full/10.1021/acs.chemmater.2c03103">https://pubs.acs.org/doi/full/10.1021/acs.chemmater.2c03103</a>). Published by 'creators' listed above. </span></p>
Datasets supplementing journal article "Scalable Bottom-up Synthesis of Co-Ni-Doped Graphene"
<p>Datasets supporting the journal article "Scalable Bottom-up Synthesis of Co-Ni-Doped Graphene".</p>
Rise and Decay of Photoluminescence in Upconverting Lanthanide-Doped Nanocrystals
<p>Main-text figure data</p>
Research Data for "Evaluating the electronic structure and stability of epitaxially grown Sr-doped LaFeO3 perovskite alkaline O2 evolution model electrocatalysts"
<p>This is the research data supporting figures and tables for the paper "Evaluating the electronic structure and stability of epitaxially grown Sr-doped LaFeO3 perovskite alkaline O2 evolution model electrocatalysts" appearing in <em>RSC Applied Interfaces </em>under DOI <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D4LF00260A">https://doi.org/10.1039/D4LF00260A</a>.</p>
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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)
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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.