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802 results for “films”
The Kinomatics Australian Film Production Dataset
<p>This is the public repository for the <strong><a href="https://kinomatics.com">Kinomatics</a> Australian Film Production Dataset</strong>, a large, curated dataset describing Australian feature film production and personnel over a fifty year period from 1975 to 2024 (as of version 1.1.0; versions 1.0.x cover the period 1975-2022). Here, we briefly describe the contents of this repository, which are explained in more detail in the dataset's technical documentation.</p> <p>We have also written a <strong>research data paper</strong> to accompany the dataset, which focuses less on the technical details and more on motivating the dataset itself and the decisions we made in deciding its scope and coverage. This data paper is published in the open access <em>Research Data Journal for the Humanities and Social Sciences</em> and can be viewed at <a href="https://doi.org/10.1163/24523666-bja10048">https://doi.org/10.1163/24523666-bja10048</a>. <em>(NB: The counts, figures and tables presented in the data paper are accurate to version 1.0.2 of the dataset.)</em></p> <h2>Repository contents</h2> <h3>Data files</h3> <p>There are two main data files that form this dataset. The first is <code>films.csv</code>, a table where each row corresponds to a unique film in the dataset, and the columns contain variables describing those films.</p> <p>The second is <code>roles.csv</code>, a table where each row corresponds to an instance of a person filling a role on a film, and the columns contain variables describing that role (including identifiers for the film and the person).</p> <h3>Documentation</h3> <p>The technical documentation of the dataset is presented in the <code>technical_documentation.pdf</code> file. Here, we provide a detailed account of the data collection, validation and preparation processes. We also provide tables describing each column in each of the data files.</p> <h3>Change log</h3> <p>The file <code>changelog.pdf</code> documents changes between released versions of the dataset.</p> <h2>Issues</h2> <p>For any issues related to the dataset or this repository, please contact either of the lead authors Pete Jones (<a href="mailto:pete@petejon.es">pete@petejon.es</a>) or Deb Verhoeven (<a href="mailto:deb.verhoeven@ualberta.ca">deb.verhoeven@ualberta.ca</a>) and let us know what the problem is and how we can fix it.</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>
Physical characterization of agricultural plastic mulching films
<p>The excel file regards the radiometric properties of the source material mulching films. The radiometric tests were carried out at the University of Bari. The mulching films were used for the generation of microplastic test materials. The Italian mulching films were buried at the experimental field at the University of Bari.</p>
IMDb Film & Series Data Analysis
<p><span>El conjunto de datos para este proyecto contendrá los siguientes descriptivos sobre películas y series de IMDb, lo que permitirá analizar las distintas tendencias en la industria: <em>Title, Year, Genres, Directors, Actors, Rating, Reviews, Duration, Type, Episode, Season, Budget, Revenue</em>. Estos campos creo que son lo suficientemente descriptivos como para permitirnos un análisis en profundidad de las películas, series, actores, directores, etc. a lo largo del tiempo.</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Title:</span></em></strong><span> El título de la película o serie.</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Year:</span></em></strong><span> El año en que se lanzó la película o serie.</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Genres:</span></em></strong><span> El género de la película o serie (por ejemplo, drama, comedia, acción, etc.).</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Directors:</span></em></strong><span> El director de la película o serie.</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Actors:</span></em></strong><span> Los actores principales de la película o serie.</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Rating:</span></em></strong><span> La calificación de la película o serie en IMDb.</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Reviews:</span></em></strong><span> El número de reseñas de usuarios para la película o serie.</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Duration:</span></em></strong><span> La duración de la película o serie en minutos.</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Type:</span></em></strong><span> Si es una película o serie.</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Episode:</span></em></strong><span> El número de episodios si es una serie.</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Season:</span></em></strong><span> El número de temporadas si es una serie.</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Budget:</span></em></strong><span> El presupuesto de la película o serie.</span></p> <p><span><span>·<span> </span></span></span><strong><em><span>Revenue:</span></em></strong><span> La recaudación de la película o serie.</span></p> <p><span>Los datos del conjunto abarcan un periodo de tiempo que se extiende desde el lanzamiento de IMDb en octubre de 1990 hasta el presente mes de abril de 2024.</span></p>
BIR-MicroED: selected area electron diffraction datasets from static microcrystals on extra thick carbon support films (biotin, Zn(II)-methionine, Zn(II)-histidine) at 300 keV
<p>This deposition contains a series zip files each containing electron diffraction datasets in .tvips file format. Each folder collects data acquired from crystals of a particular compound under the same conditions (electron energy, temperature). Zip files are named according to the format: <em>"CompoundName</em>_<em>AcceleratingVoltage</em>_<em>Temperature</em>.zip"</p> <p>Diffraction datasets within each folder are named according to the format: <em>CompoundName</em>_static_diffraction_<em>AcceleratingVoltage</em>_<em>Temperature</em>_series#.tvips</p>
Data_paper_Influence of buffer/protective layers on the structural and magnetic properties of SmCo films on Silicon
<p>Integration of Samarium Cobalt hard magnets on silicon requires buffer/protective layers that can enhance the magnetic properties of the magnet while preserving its structure and chemical composition after post-annealing treatments needed for the formation of the magnetically hard phase. In this work, a comparison of Samarium-Cobalt films for five different buffer/protective layers, namely Ti, W, TiW, Ta, Cr and two different annealing temperatures, 650°C and 750°C, is presented. Depending on materials and annealing temperatures, magnetic properties such as saturation and coercivity of the SmCo film can be finely tuned. We show that coercivity up to 3.65 T or saturation magnetization up to 0.95 T can be reached by proper choice of the relevant process parameters: deposition temperature, material for the buffer/protective layer and annealing temperature. Such value of coercivity is among the highest found in literature for thin films of SmCo.</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>
Dataset of the publication: Design and processing as ultrathin films of a sublimable Iron(II) spin crossover material exhibiting efficient and fast light-induced spin transition
<p>Dataset of the publication: Design and processing as ultrathin films of a sublimable Iron(II) spin crossover material exhibiting efficient and fast light-induced spin transition</p> <p>DOI: 10.1021/acs.chemmater.3c01704</p> <p>M. Gavara-Edo, F. J. Valverde-Muñoz, M. C. Muñoz, S. Elidrissi, F. Marques-Moros, J. Herrero-Martín, K. Znovjyak, M. Seredyuk, J. A. Real, E. Coronado <br><br>Chem. Mater., 35, 22, 9591-9602 (2023)</p>
Dataset for "Coating thickness prediction for a viscous film on a rough plate"
<p>This dataset supports the publication 'Coating thickness prediction for a viscous film on a rough plate' by Lebo Molefe, Giuseppe A. Zampogna, John M. Kolinski, and François Gallaire, <em>Journal of Fluid Mechanics,</em> <strong>1001</strong>(A59), 2024. The data are film thicknesses measured for silicone oil films coated on rough plates. Please refer to the publication and its supplemental material for details.</p> <p><a href="https://doi.org/10.1017/jfm.2024.1015">https://doi.org/10.1017/jfm.2024.1015</a></p> <p><strong>Contents</strong></p> <p>Three folders containing the code and data required to produce the figures in the journal article and supplemental material.</p> <p><strong>Readme</strong></p> <p>A .txt file describing contents of code and datasets.</p> <p><strong>Code</strong></p> <p>Contains:</p> <ul> <li>Python code to produce Figures 5-10 and 12 in the main text, as well as supplementary Figures 1-4.</li> <li>Source code: COMSOL files for solving microscopic problem for effective parameters (L, Kitf) describing the rough surface; Python files for solving the macroscopic model equations once effective parameters are known.</li> </ul> <p><strong>Data</strong></p> <p>Contains data needed to plot the figures mentioned above, as well as supporting data.</p> <p>The data includes density, surface tension, and viscosity measurements for silicone oil, with rheometry measurements performed on an Anton Paar MCR 302 rheometer, as detailed in the Supplementary Material.</p> <p><strong>Plots</strong></p> <p>Contains output of plotting code corresponding to the figures mentioned above.</p>
VatsalSy/Drop-impact-on-viscous-liquid-films: Drop impact on viscous liquid film v2.0
<h1>Release Notes - v2.0 (January 24, 2025)</h1> <h2>1. Independent Control of Film Properties</h2> <ul> <li>You can now specify a separate density for the film, distinct from that of the drop</li> <li>Surface tension at the film-air interface is independently configurable from the drop-air interface</li> </ul> <h2>2. Revised Default Parameters</h2> <ul> <li>Improved default values for simulation end time, maximum refinement level, and dimensionless groups (We, Ohd, Bo, and Ohf)</li> </ul> <h2>3. Modified Adaptation Schemes</h2> <ul> <li>omega-based adaptation removed due to incompatibility with new Basilisk axisymmetric modules</li> <li><code>adapt_wavelet_limited</code> removed for the newest Basilisk version. Refer to the link in the README for an alternative implementation</li> </ul> <h2>4. Updated Boundary Conditions</h2> <ul> <li><code>dirichlet(...)</code> now replaces direct assignment at domain boundaries, improving accuracy at limited resolutions</li> </ul> <h2>5. Compatibility Script</h2> <ul> <li>New <code>reset_install_requirements.sh</code> script ensures the code can be rebuilt with the latest Basilisk updates</li> </ul>
Improving Stability of Tear Film Lipid Layer via Concerted Action of Two Drug Molecules: A Biophysical View
<p>Surface pressure/area isotherms, stress relaxation transients, molecular dynamic simulation parameters of surface films composed of tear lipids and drug molecules.</p>
Metadata of "Photoelectrodes with Polydopamine Thin Films Incorporating a Bacterial Photoenzyme"
<p>Metadata of "Photoelectrodes with Polydopamine Thin Films Incorporating a Bacterial Photoenzyme"</p>
Lacritin proteoforms prevent tear film collapse and maintain epithelial homeostasis
<p>All the datasets related to the article Lacritin proteoforms prevent tear film collapse and maintain epithelial homeostasis, Georgiev et al., J Biol Chem, Jan-Jun 2021;296:100070. doi: 10.1074/jbc.RA120.015833. Epub 2020 Nov 21. The diverse methods onvolved are described in the article which is available in gold open access. </p> <p>The dataset is available also at these links:</p> <p>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948570/</p> <p>https://www.sciencedirect.com/science/article/pii/S0021925820000575#appsec1</p> <p>https://www.jbc.org/article/S0021-9258(20)00057-5/fulltext#supplementaryMaterial</p>
Supplementary information for 'Microstructure and pinning properties of CSD-grown SmBa2Cu3O7-δ films with and without BaHfO3 nanoparticles'
<p>Supplementary information containing TEM data and analysis for the article </p> <p>"<strong>Microstructure, pinning properties, and aging of CSD-grown SmBa<sub>2</sub>Cu<sub>3</sub>O<sub>7-δ</sub> films with and without BaHfO<sub>3</sub> nanoparticles</strong>"</p> <p>Link to paper: <a href="https://iopscience.iop.org/article/10.1088/1361-6668/ac7b4d">https://iopscience.iop.org/article/10.1088/1361-6668/ac7b4d</a></p> <p>Three folders are present after unzipping the archive:</p> <ul> <li>The folder <em>BHO-Nanoparticle-Size </em>contains a Jupyter notebook showing particle-size analysis. The projected particle sizes/areas were measured using Fiji using the LABKIT plugin by Arzt et al. (<a href="https://doi.org/10.3389/fcomp.2022.777728">https://doi.org/10.3389/fcomp.2022.777728</a>).</li> <li>The <em>Images</em> folder contains 16-bit STEM images in the tiff format. Some images were filtered with an average-background subtraction filter (ABSF).</li> <li>The <em>STEM-EDXS </em>folder shows Jupyter notebooks for STEM-EDXS data treatment using the HyperSpy Python package (<a href="https://hyperspy.org/">https://hyperspy.org/</a>).</li> </ul> <p>If there are any questions/bugs, feel free to contact me at lukas.gruenewald_at_kit.edu</p>
Data of paper Chemically vapor deposited Eu3+:Y2O3 thin films as a material platform for quantum technologies
<p>Data of the figures of the paper:</p> <p>N. Harada, A. Ferrier, D. Serrano, M. Persechino, E. Briand, R. Bachelet, I. Vickridge, J.-J. Ganem, P. Goldner, and A. Tallaire, <em>Chemically Vapor Deposited Eu 3+:Y 2O 3thin Films as a Material Platform for Quantum Technologies</em>, J. Appl. Phys. <strong>128</strong>, 055304 (2020). doi: <a href="https://doi.org/10.1063/5.0010833">10.1063/5.0010833</a></p> <p> </p>
Data of paper Controlling the interfacial reactions and environment of rare-earth ions in thin oxide films towards wafer-scalable quantum technologies
<p>Data of the figures in the paper :</p> <p>N. Harada, A. Tallaire, D. Serrano, A. Seyeux, P. Marcus, X. Portier, C. Labbé, P. Goldner, and A. Ferrier, <em>Controlling the Interfacial Reactions and Environment of Rare-Earth Ions in Thin Oxide Films towards Wafer-Scalable Quantum Technologies</em>, Mater. Adv. <strong>3</strong>, 300 (2022). doi: 10.1039/D1MA00753J</p>
Three-dimensional in-situ imaging of single-grain growth in polycrystalline In2O3:Zr films
<p>Original data</p> <p>Here, we image a single-grain growth during the amorphous-to-polycrystalline transition in technologically relevant transparent conductive oxide (TCO) film of In<sub>2</sub>O<sub>3</sub>:Zr with <em>in-situ</em> Bragg coherent X-ray diffraction imaging.</p> <p>Data was obtained at 34ID-C end-station at Advanced Photon Source, Argonne National Laboratory (USA).</p> <p>Repository contains all raw datasets of the BCDI measurements, .spec files with corresponding meta-data, and .xlsx table with information on scan numbers related to annealing steps of the sample.</p>
Liquid film rupture beyond the thin-film equation: a multi-component lattice Boltzmann study - Dataset
<p>Dataset for the material presented in the article "Liquid film rupture beyond the thin-film equation: a multi-component lattice Boltzmann study"</p>
ScienceDex guides
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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.