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141 results for “thin films”
DAS Control over the spatial correlation of silica perforations in thin films as a function of solution conditions
<p><span>Dataset production context : A perforated silica layer with structural correlation is engineered using sol-gel chemistry, applied to large-scale flat and curved sur-faces. The anion(s) used in the preparation give tailored spatial correlation, and control over perforation size and density. Surface structuration is rapidly and reproducibly created using water and salts as inexpensive and ecofriendly reagents.</span></p>
Ferromagnetic resonance of Co thin films grown by atomic layer deposition on the Sb2Te3 topological insulator (data)
<p>This dataset contains the raw data files connected with the figures included in the paper "<em>Ferromagnetic resonance of Co thin films grown by atomic layer deposition on the Sb<sub>2</sub>Te<sub>3</sub> topological insulator</em>" by E. Longo et al., JMMM 209, 166885 (2020): <a href="https://linkinghub.elsevier.com/retrieve/pii/S0304885319336029">https://linkinghub.elsevier.com/retrieve/pii/S0304885319336029</a></p>
Controlling the Dewetting Morphologies of Thin Liquid Films by Switchable Substrates
<p>Data and scripts for the creation of the data used in the publication: "Controlling the dewetting morphologies of thin liquid films by switchable substrates" in Phys. Rev. Fluids.</p>
Effect of Substrates and Thermal Treatments on Metalorganic Chemical Vapor Deposition-Grown Sb2Te3 Thin Films (data)
<p>This dataset contains the raw data files connected with the figures included in the paper "<em>Effect of Substrates and Thermal Treatments on Metalorganic Chemical Vapor Deposition-Grown Sb<sub>2</sub>Te<sub>3</sub> Thin Films</em>" by <a href="https://pubs.acs.org/doi/pdf/10.1021/acs.cgd.1c00508">M. Rimoldi et al., <em>Cryst. Growth Des.</em> 2021, 21, 9, 5135–5144</a></p> <p>Note for users: </p> <p>The data in Figure 10 can be retrieved from <a href="https://zenodo.org/record/5725028#.Ybcxb73MI2w">Table 2 in the main text</a>.</p>
5D-NP-FABTECH_ALD - Open Dataset for: "Shedding light on the initial growth of ZnO during plasma-enhanced atomic layer deposition on vapor-deposited polymer thin films"
<p>This is the open dataset for the paper: "Demelius, L. <em>et al.</em> Shedding light on the initial growth of ZnO during plasma-enhanced atomic layer deposition on vapor-deposited polymer thin films. <em>Applied Surface Science</em> <strong>604</strong>, (2022)."</p> <p>This includes the supplementary information and all the source material that was used for the paper preparation.</p> <p>For each folder (sub-dataset), there exists a corresponding readme file describing the content and including material.</p>
Dataset For Molecular Dynamics Simulations of Thin Film Rupture
<p>Data files for production runs for the key results reported in "Life and Death of a Thin Liquid Film", (2024) by Muhammad Rizwanur Rahman, Li Shen, James P. Ewen, D. M. Heyes, Daniele Dini, and E. R. Smith. The directory named "spontaneous-rupture-equilibrated-state-for-production-runs" contains data files of different initial film thicknesses, and the directory named "synthetic-rupture-equilibrated-state-for-production-runs" contains data files for films with similar initial thickness, but with different patterns of synthetic damages caused to the film. These files should be used as the restart file for production phase under NVE ensemble. </p> <p>Codes to run these files, and process the data are described in github: https://github.com/MuhammadRRahman/Thin-Film-Rupture-NEMD.git.</p>
Using thin films of phase-change material for active tuning of terahertz waves scattering on dielectric cylinders
<p>The uploaded files contain the data generated by MATLAB and used to plot a part of the figures, and a sample code.</p> <p>Research supported by Narodowe Centrum Nauki, project no UMO-2020/39/I/ST3/02413.</p>
Investigating the ageing process of polymer modified bitumen using a modified Thin-Film Oven Test in the aspect of recycling purpose within Weave-UNISONO 2021 project, NCN project No 2021/03/Y/ST8/00079
<div><strong>Summary:</strong></div> <div>One polymer-modified bitumen PMB 25/55-60 was tested in two stages: original and after the modified Thin-Film Oven Test (TFOT). The time ranges from 1h-5h, and temperatures from 120°C-200°C were used. The Fourier-Transform Infrared (FTIR) Spectroscopy and Dynamic Shear Rheometer (DSR) with parallel plates were conducted. Test temperatures range from 30–70°C for a 25 mm diameter plate and 0–30°C for an 8 mm plate with 10°C intervals and angular frequency range of 0.1, 1.0, and 10 Hz.</div> <div> </div> <div> </div> <div><strong>The dataset includes:</strong></div> <div>Basic characteristics of bituminous binder (R&B Temperatur, Penetration), CSV raw data:</div> <div> <ul> <li>01 - SP Pen.csv</li> </ul> </div> <div> </div> <div>Dynamic shear rheometer (Temperatures 0-70 °C, Angular Frequency 0.1Hz, 1.0Hz, 10 Hz, Complex Shear Modulus, Phase Angle):</div> <ul> <li>02.1 - DSR Rheology_Unaged.csv</li> <li>02.2 - DSR Rheology_2h_140C.csv</li> <li>02.3 - DSR Rheology_2h_200C.csv</li> <li>02.4 - DSR Rheology_5h_140C.csv</li> <li>02.5 - DSR Rheology_5h_200C.csv</li> </ul> <div> </div> <div>FTIR - Fourier-Transform Infrared Spectroscopy </div> <div> <ul> <li>OPUS Spectroscopy files.zip</li> </ul> </div> <div> </div> <div>--- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- ---</div> <div>to open the OPUS files, please go to the © Bruker webpage and download the free OPUS Viewer.</div> <div>https://www.bruker.com/en/products-and-solutions/infrared-and-raman/opus-spectroscopy-software/downloads.html</div> <div>--- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- ---</div> <div> </div>
Pushing the Study of Point Defects in Thin Film Ferrites to Low Temperatures Using In Situ Ellipsometry
<p>Dataset for article "Pushing the Study of Point Defects in Thin Film Ferrites to Low Temperatures Using In Situ Ellipsometry" published in <em>Adv. Mater. Interfaces</em> 2021, <strong>8</strong>, 2001881. </p> <p>The data includes:</p> <ul> <li>XRD data of La<sub>1-x</sub>Sr<sub>x</sub>FeO<sub>3</sub> thin films</li> <li>Optical conductivity of LSF films as a function of oxygen partial pressure and Sr content</li> <li>Concentration of electronic holes in LSF thin films as a function of oxygen partial pressure and temperature</li> <li>Defect chemistry models employed for describing the concentration of point defects in LSF thin films.</li> <li>Equilibrium constants for oxygen incorporation reactions in LSF thin films at different temperatures</li> <li>Ellipsometry raw data of LSF50 thin film as a function of equivalent oxygen pressure </li> <li>Electrochemical impedance spectra of the LSF50 thin film at 400 ºC</li> </ul>
Tantalum thin films EUVR data
<p>S-polarized Angle-Dependent Reflectance (ADR) data measured from two Tantalum thin films deposited on Silicon substrates using monochromatized synchrotron radiation. The data was collected at the soft X-ray radiometry beamline (SX700) in the radiometry laboratory of the Physikalisch-Technische Bundesanstalt (PTB), in the electron storage facility BESSY II of Helmholtz Centre for Materials and Energy (HZB). The nominal thicknesses for the two thin films were 30.0 nm and 50.0 nm, hence, the .txt data files of the thin films samples are referred to as Sample-30 and Sample-50.</p> <p>The ADR data was collected in the Extreme Ultraviolet (EUV) range. For Sample-30 and Sample-50 the ADR was measured in the spectral ranges 5.0 nm – 24.0 nm and 10.0 nm – 20.0 nm, respectively. The EUVR of Sample-30 correspond to the angular range 3.0° – 85.5°. The EUVR of Sample-50 correspond to the angular range 4.5° – 87.0°.</p> <p>The .txt files contain post-processed reflectance values each with its calculated absolute uncertainty. </p>
Three-dimensional subnanoscale imaging of unit cell doubling due to octahedral tilting and cation modulation in strained perovskite thin films
<p>Transmission electron microscopy data used in the journal publication <a href="https://doi.org/10.1103/PhysRevMaterials.3.063605">"Three-dimensional subnanoscale imaging of unit cell doubling due to octahedraltilting and cation modulation in strained perovskite thin films"</a></p> <p><strong>Data files</strong></p> <p>There are two data types:</p> <ul> <li>Scanning TEM (STEM) diffraction patterns acquired with a Medipix3 detector (Merlin): m004_LSMO_LFO_STO_medipix.hdf5 <ul> <li>Acquired on a probe corrected Jeol ARM200CF</li> <li>Acceleration voltage: 200 kV</li> <li>Convergence semi-angle: 20.4 mrad (calibrated using the SrTiO<sub>3</sub> substrate HOLZ ring)</li> <li>Detector calibration: 1.357 mrad per pixel (calibrated using the SrTiO<sub>3</sub> substrate HOLZ ring)</li> </ul> </li> <li>Atomic resolution STEM data, both annular dark field (ADF) and annular bright field (ABF), which were acquired simultaneously: s007_ADF.hdf5, s007_ABF.hdf5</li> </ul> <p>The data can be loaded in python using h5py.</p> <p>For the Medipix3 data:</p> <pre><code class="language-python">import h5py f = h5py.File('m004_LSMO_LFO_STO_medipix.hdf5', mode='r') data = f['fpd_expt/fpd_data/data'] data_subset = data[0:16, 0:16, :, :]</code></pre> <p>For the STEM-ADF or STEM-ABF data:</p> <pre><code class="language-python">import h5py f = h5py.File('s007_ADF.hdf5', mode='r') data = f['Experiments/__unnamed__/data']</code></pre> <p>Exploring the Medipix3 dataset lazily, i.e. without loading the whole dataset into memory at the same time. Using pixStem:</p> <pre><code class="language-python">import pixstem.api as ps s = ps.load_ps_signal("003_stripe1.hdf5", lazy=True) s.plot()</code></pre> <p>Loading the STEM-ADF or STEM-ABF data using HyperSpy, which automatically loads the probe scaling:</p> <pre><code class="language-python">import hyperspy.api as hs s = hs.load("s007_ADF.hdf5") s.plot()</code></pre> <p><br> <strong>Processing files</strong></p> <p>All the TEM data has been processed using python scripts, which is named based on the type of processing:</p> <ul> <li>d00N_...: Medipix3 data processing</li> <li>a00N_...: Atomic resolution STEM-ADF and STEM-ABF processing using Atomap</li> </ul> <p>The scripts generate intermediate files, which are saved in folders with the same prefix as the scripts. So the d001_... script makes a folder named d001_... . These intermediate files are included here as zip-files, since Zenodo doesn't support folder structures.</p> <p>The python libraries required to run the scripts are listed in requirements.txt. Newer versions of the libraries will most likely also work.</p> <p>To setup the python environment with the required libraries, and run all the scripts:</p> <pre><code class="language-bash">pip3 install -r requirements.txt python3 run_all_scripts.py</code></pre> <p> </p>
Vacuum-Sublimed Cocrystalline Thin Films of Naphthalene Bisimide and Pt(II) Complex for Phosphorescent Light-Emitting Diodes
<p>Additional data to report <a href="https://doi.org/10.1002/adom.202402117">https://doi.org/10.1002/adom.202402117</a>:</p> <p>Cocrystals employing small organic molecules with platinum(II)-complexes are known to exhibit organic room-temperature phosphorescence (RTP). However, this desirable property was so far only demonstrated in the macroscopic 1:1 cocrystalline state, which limitsdevice applications outside of small single-crystal devices. Here, we show that vacuum cosublimed thin films of both components in various mixing ratios form layers with selfassembled small cocrystalline domains which exhibit RTP. This Pt(II) doping improved the photoluminescence (PL) quantum yield (ΦPL) of the now phosphorescence emitting 1,8:4,5-naphthalene bisimide (NBI) from below 0.1% to 9% in respective thin films. These doped layers were employed as active layers in light-emitting diodes to emit red electroluminescence (EL). Via time-resolved measurements the lifetime of the device EL was determined in accordance with the PL to be around 50 µs. Maximum external quantum efficiencies (EQEs) of over 0.2% with RTP emission signatures consistent with the PL of solution-grown cocrystals could be achieved.</p>
data for journal article 'Nernst-Ettingshausen effect in thin Pt and W films at low temperatures'
<p>This dataset contains the supporting information for the journal article 'Nernst-Ettingshausen effect in thin Pt and W films at low temperatures'.</p>
LIF-based quantification of the species transport during droplet impact onto thin liquid films (Dataset)
<p>This database includes Supplementary Data and videos for <em>Experiments in Fluids </em>manuscript: LIF-based quantification of the species transport during droplet impact onto thin liquid films.</p> <p>Number of figure in the file name is changed:</p> <ul> <li>fig.2 to fig. 3</li> <li>fig.3 to fig. 4</li> <li>fig.4 to fig. 5</li> <li>fig.5 to fig. 6</li> <li>fig.8 to fig. 11</li> <li>fig.9 to fig. 12</li> <li>fig.10 to fig. 13</li> <li>fig.11 to fig. 14</li> <li>fig.12 to fig. 15</li> <li>fig.13 to fig. 16</li> <li>fig.14 to fig. 17</li> </ul> <p> </p>
Refractive index obtained from thin films of Au-Ag alloys
<p>This is the optical dataset for Au-Ag alloys, obtained in the paper "Optical properties of Au-Ag alloys: An ellipsometric study" [Opt. Mater. Express 4 (2014) 403-410].</p>
Data of "H2S dosimeter with controllable percolation threshold based on semi-conducting copper oxide thin films" published in JSSS 2017
<p>Raw data to the Paper "H2S dosimeter with controllable percolation threshold<br> based on semi-conducting copper oxide thin films" published in "Journal of Sensors and Sensor Systems".</p> <p>Acknowledgement and Funding in the txt.file</p>
Dataset for publication "Deposition of Sn-Zr-Se precursor by thermal evaporation and PLD for the synthesis of SnZrSe3 thin films"
<p>This dataset entails various structural material data that was used to provide additional evidence for arguments presented in publication "Deposition of Sn-Zr-Se precursor by thermal evaporation and PLD for the synthesis of SnZrSe3 thin films". </p><p>Mainly data consists of: SEM, XRD, Raman, Auger and TGA raw data.</p><p>Summary of results is provided in Extended_data.pdf file </p>
Ultrabroadband thin-film lithium tantalate modulator for high-speed communications
<p>The data sets contain the data and the scripts for generating all the plots of the manuscript "Ultrabroadband thin-film lithium tantalate modulator for high-speed communications" </p> <p>The data and the scripts are separated into sub-folders corresponding to the figures. These include the main text Fig.1-3. The scripts are in the .m format. The color and size of some curves are edited in Adobe AI.</p>
Supporting data for "Benchmarking the integration of hexagonal boron nitride crystals and thin films into graphene-based van der Waals heterostructures"
<p>Dataset for the publication "Benchmarking the integration of hexagonal boron nitride crystals and thin films into graphene-based van der Waals heterostructures"</p>
Dataset of the publication: Sublimable complexes with spin switching: Chemical design, processing as thin films and integration in graphene-based devices
<p>Dataset of the publication: Sublimable complexes with spin switching: Chemical design, processing as thin films and integration in graphene-based devices</p> <p>DOI: 10.1039/d2tc04120k</p> <p>M. Guevara-Edo, F. J. Valverde-Muñoz, R. Cordoba, M. C. Muñoz, J. Herrero-Martín, J. A. Real, E. Coronado</p> <p>J. Mater. Chem. C, 11, 24, 8107-8120 (2023)</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
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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.