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390 results for “after movie”
Supplementary Movies and Dataset for Debris Flows, Debris Avalanches and Rock Avalanches Impacting A Flexible Ring Net Barrier.
<p>The supplementary movies S1, S2, and S3 (presented in Figures 1, S4, and S6) show typical debris flow, debris avalanche, and rock avalanche impacting a flexible ring net barrier with = 6 m/s, respectively.</p> <p>The experimental data used for comparison in Figure 2b from the large-scale flume test V6-B1 with a flexible ring net barrier was published open access in the below article (Vicari <em>et al.,</em> 2021).</p> <p>Vicari, H., Ng, C. W., Nordal, S., Thakur, V., De Silva, W. R. K., Liu, H., & Choi, C. E. (2021). The Effects of Upstream Flexible Barrier on the Debris Flow Entrainment and Impact Dynamics on a Terminal Barrier. <em>Canadian Geotechnical Journal</em>, <em>59</em>(6), 1007-1019. <a href="https://doi.org/10.1139/cgj-2021-0119">https://doi.org/10.1139/cgj-2021-0119</a></p>
Movies on flights dataset
<p>The provided dataset includes movie titles and links, that allows to gather online metadata and trailers. We do not provide the video files because of copyright restrictions. Examples are collected based on movie lists from a major international airline, i.e., KLM Royal Dutch Airlines. The final list of movies is a merged set of movies collected between February and April 2015. The video dataset contains both positive and negative samples, carefully sampled in order to create fair and representative positive and negative class. The data is also split into a trainingset and a testset. In order to collect user judgments, we used an existing system that has been built for the purpose of collecting user feedback of this sort.</p>
Movies (II) for "3D Space-Time Adaptive Hybrid Simulations of Magnetosheath High-Speed Jets"
<p>Movies for the aforementioned paper showing magnetic field lines, dynamic pressure and plasma density in global magnetospheric simulations. NW and SW refer to quasi-radial northward and southward IMF. </p> <p>https://doi.org/10.1029/2020JA029035</p>
Supplementary Datasets and Movies for the Paper "Mapping finite-fault earthquake slip using spatial correlation between seismicity and point-source Coulomb failure stress change"
<p>Supplementary Datasets and Movies for the Paper <br><strong>Mapping finite-fault earthquake slip using spatial correlation between seismicity and point-source Coulomb failure stress change </strong><br>by Anthony Lomax</p> <p>DOI: <a href="https://doi.org/10.48550/arXiv.2404.05437" target="_blank" rel="noopener">https://doi.org/10.48550/arXiv.2404.05437</a></p> <p> </p> <p><strong>Movie S1 Animation of the 2018, Mw 7.1 Anchorage, Alaska sequence and background seismicity 2014-2022.</strong> Relocated seismicity shown for: 2014 – 2018 mainshock (light blue), 2018 mainshock – 1 month after mainshock (green), 1 month after mainshock through 2022 (light orange); large black dot indicates the Mw 7.1 mainshock hypocenter. See figure caption in main paper for more details.</p> <p><strong>Movie S2 Animation of seismicity-stress, 3D finite-faulting potential slip results the 2018 Mw 7.1 Anchorage, Alaska earthquake sequence.</strong> The high-potential portion of the seismicity-stress finite-faulting field is shown in red for west-dipping reciever faults inferred from the first 1 day of aftershocks (blue dots) after the 2018 mainshock (large black dot). See figure caption in main paper for more details.</p> <p> </p> <p><strong>CSV (.csv) and NLL-Hypocenter (.hyp) format catalogs of NLL-SSST-coherence relocations used in this study:</strong></p> <p>Parkfield_2022_NLL-SSST-coherence_20231201A.csv<br>Parkfield_2022_NLL-SSST-coherence_20231201A.hyp</p> <p>AntelopeValley_2021_NLL-SSST-coherence_20231223A.csv<br>AntelopeValley_2021_NLL-SSST-coherence_20231223A.hyp</p> <p>Anchorage_2018_NLL-SSST-coherence_20231125A.csv<br>Anchorage_2018_NLL-SSST-coherence_20231125A.hyp</p> <p> </p>
BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 4. Augmented Reality with video movie and social media (a vertical loom in front of two reconstructed kilns and a wall of a Roman villa rustica)
<p>The third stage was represented by the 3D virtual reconstruction process of the historical contexts, in our case a prehistoric village and a complete Roman villa rustica, with the help of students from the Design Department, NUA, coordinated by Professor Arch. Andreea Hasnaş. The AR application was created and tested on two commercial AR platforms, Layar and Junaio, and recently moved on the Aurasma platform (https://www.aurasma.com/). The POIs were augmented with the 3D virtual reconstructions, and also with 2D images and videos representing 3D virtual tours and technological processes (Figures 3, 4, 5). The AR application was connected to teachers’ emails and to Twitter, Facebook and Google+ project’s pages. </p>
BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 5. Fiber artist Alexandra Rusu (NUA) working at a Roman vertical loom (video movie)
<p>The third stage was represented by the 3D virtual reconstruction process of the historical contexts, in our case a prehistoric village and a complete Roman villa rustica, with the help of students from the Design Department, NUA, coordinated by Professor Arch. Andreea Hasnaş. The AR application was created and tested on two commercial AR platforms, Layar and Junaio, and recently moved on the Aurasma platform (https://www.aurasma.com/). The POIs were augmented with the 3D virtual reconstructions, and also with 2D images and videos representing 3D virtual tours and technological processes (Figures 3, 4, 5). The AR application was connected to teachers’ emails and to Twitter, Facebook and Google+ project’s pages</p>
Tracking-NEMO-movies_subset
<p>This is a subset of the image data used to perform MSD analysis on NEMO dots, for the publiction: </p> <ul> <li><a href="http://jcb.rupress.org/content/204/2/231.long">"TNF and IL-1 exhibit distinct ubiqui-tin requirements for inducing NEMO-IKK supramolecular structures", Tarantino et al. (2014)</a>.</li> </ul> <p>This dataset is used in educational resources to introduce single-particle tracking and mean-square displacement analysis.</p> <p> </p>
De viris mulieribusque illustribus: ERC Our Mythical Childhood & Schools (2019) - movie
<p>A movie from the school endeavour “De viris mulieribusque illustribus”: Bartłomiej Nowodworski I High School in Cracow, Mikołaj Rej XI High School in Warsaw, Nicolaus Copernicus University Academic High School in Toruń, and Strumienie High School in Józefów, in cooperation with the Our Mythical Childhood project (ERC Consolidator Grant 681202) and the Cluster: The Past for the Present, May 2019, Faculty of “Artes Liberales”, University of Warsaw. Panel at Polish Theatre in Warsaw, during the conference “Our Mythical History: Children’s and Young Adults’ Culture in Response to the Heritage of Ancient Greece and Rome” on 23rd May 2019.</p> <p>The video is available here: <a href="https://www.youtube.com/watch?v=OVECLB5LYKs">https://www.youtube.com/watch?v=OVECLB5LYKs</a></p>
The Longyearbyen all-sky camera full resolution image data (movie and four ASC data plots) used in the paper entitled "Auroral Morphological Changes to the Formation of Auroral Spiral during the Late Substorm Recovery Phase: Polar UVI and Ground All-Sky Camera Observations"
<p>The uploaded movie is an animation of the Longyearbyen all-sky camera (ASC) full resolution image data from 20:00 UT to 22:00 UT, which is including all ASC snapshots used in Figure 2. This movie file is the same as Movie S1. </p> <p>The uploaded four png files are the Longyearbyen all-sky camera (ASC) full resolution image snapshots, which were used in Figure S3.</p> <p>The numerical ASCII data to make the four ASC full resolution image snapshots are also uploaded; the count number of data detected by the ASC and associated latitude and longitude information in geographical coordinates of the ASC field of view.</p>
EBEC-MicroED: Static electron diffraction movies collected at different incident flux on a direct electron detector (DE Apollo) on crystals of (S,S) Jacobsen's salen ligand and Co(II) porphyrin, and diffraction tilt series recorded on the DE Apollo and CetaD detector for the same crystals of Jacobsen's Ligand
<p>This record contains static diffraction movies recorded from crystals of (S,S) Jacobsen's salen ligand, and crystals of Co(II) meso-tetraphenyl porphyrin, using a direct electron detector (DE Apollo) in counting mode. Data were acquired at varying different incident flux settings, referred to as "spotsize11" or "spot11" (0.01 electrons per square Angstoms per second), "spotsize10" or "spot10" (0.03 electrons per square Angstrom per second), "spotsize9" or "spot9" (0.045 electrons per square angstrom per second)", and "spotsize8" or "spot8" (0.084 electrons per sqaure Angstrom per second. For each compound these trials, the same crystal ("crystal1", "crystal2", etc.) was conserved across a dose series, and illuminated at each incident flux from lowest to highest in sequence.</p> <p>Additionally, this record contains diffraction tilt series acquired from crystals of (S,S) Jacobsen's ligand, first on the Ceta D and next on the DE Apollo, rotating at 2 degrees per second with an incident flux of either 0.01 or 0.045 electrons per square Angstrom per second.</p> <p>All data is saved in mrc file format, with the exception of movies from the Ceta D, which are saved in ser file format.</p>
Supplementary movies for: "The mammalian membrane microenvironment regulates the sequential attachment of bacteria to host cells"
<p><strong>Supplementary Movie 1: Live visualization of bacterial attachment to host cells. </strong></p> <p>Microscopic visualizations of <em>E. coli</em> VHH adhesion to HeLa GFP. Maximum intensity projection of a 1-hour confocal microscopy time-lapse at 0.1 fps accelerated 100x. Overlay of bacteria (red) location of initial contact (circles) and their corresponding tracks (colored lines). Scale bar: 50 µm.</p> <p> </p> <p><strong>Supplementary Movie 2: High-speed visualization of bacterial attachment to host cells upon contact.</strong></p> <p>Close-up on microscopic visualizations of <em>E. coli</em> VHH <em>E. coli</em> adhesion to HeLa GFP. Maximum intensity projection of 5-minutes confocal microscopy time-lapses at 1 fps accelerated 10x. Overlay of bacteria (red) location of initial contact (circles) and their corresponding tracks (colored lines).</p> <p> </p> <p><strong>Supplementary Movie 3: Attachment of <em>E. coli</em> VHH to GFP-coated coverslips. </strong></p> <p><em>E. coli</em> VHH in flow binding to the edge of a GFP-functionalized coverslip used as a substrate for a microfluidic channel. Maximum intensity projection of 5-minutes confocal microscopy time-lapse at 1 fps accelerated 10x. Scale bar: 50 µm.</p> <p> </p> <p><strong>Supplementary Movie 4: HeLa GFP cells actively pull bacteria towards their cell body. </strong></p> <p>Maximum intensity projection of a confocal time-lapse experiment at 0.1 fps accelerated 100x of <em>E. coli</em> VHH (red), HeLa GFP (CD80) (green) and 3 mm/s flow. Scale bar: 10 µm.</p> <p> </p> <p><strong>Supplementary Movie 5: Bacteria sequester GFP upon attachment. </strong></p> <p>Maximum intensity projection of 20-minutes epifluorescence microscopy time-lapse at 1 frame per minutes accelerated 60x. <em>E. coli</em> VHH were added on HeLa GFP under static conditions at an MOI of 200 for a couple of minutes and washed 3 times before imaging. Scale bar: 10 µm.</p> <p> </p> <p><strong>Supplementary Movie 6: Flagella promote unspecific transient binding. </strong></p> <p>Maximum intensity projection of a confocal time-lapse experiment at 6 frames per minutes accelerated 100x of flagellated <em>E. coli</em> VHH (red), HeLa GFP (CD80) (green) and 3 mm/s flow. Scale bar: 10 µm.</p>
Mp4-Version of the supplementary Movies for the manuscript: "Quantitative real-time in-cell imaging reveals heterogeneous clusters of proteins prior to condensation"
<p>Videos in 'mp4'-format of the 8 supplementary movies for the manuscript: "Quantitative real-time in-cell imaging reveals heterogeneous clusters of proteins prior to condensation"</p>
Pang_movie
<p>Pang_movie dataset is composed of more than 10K user movies reviews. </p> <p>The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_<k>.pkl: pandas DataFrame with k-cross validation partition.</p>
Movie review (MR)
<p>Movie review (MR) dataset is a binary (positive and negative labels) sentiment polarity composed of movie reviews.</p> <p>The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_<k>.pkl: pandas DataFrame with k-cross validation partition.</p>
vader_movie
<p>vader_movie dataset is composed of more than 10K user movies reviews.</p> <p>The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_<k>.pkl: pandas DataFrame with k-cross validation partition</p>
Oscar nominated movies
<p>The dataset shows the films nominated for the Oscar for Best Picture since 1929. The dataset format is a CSV file that collects information from each of the nominated films.</p> <p>For each film, information is extracted from the film itself, such as the title, year, length, director(s), description, genre, scriptwriters, and main cast. Different IMDb ratings have also been included in the dataset, such as the movie's score (“rating”) and number of reviews (“reviews”). Finally, the cover and the trailer of the film have been included as well as if the film won the Oscar for best film or not.</p>
Oscar nominated movies
<p>The dataset shows the films nominated for the Oscar for Best Picture since 1929. The dataset format is a CSV file that collects information from each of the nominated films.</p> <p>For each film, information is extracted from the film itself, such as the title, year, length, director(s), description, genre, scriptwriters, and main cast. Different IMDb ratings have also been included in the dataset, such as the movie's score (“rating”) and number of reviews (“reviews”). Finally, the cover and the trailer of the film have been included, in case you have it, as well as if the film won the Oscar for best film or not.</p>
Interactive Molecular Dynamics Simulation Movie using MDsrv - BioGem
<p>The protein structure and molecular dynamics simulation trajectories used to make interactive movie using MDsrv and NGL Viewer.</p> <p>https://www.youtube.com/watch?v=m62lg6ZInAI</p>
Short Online Reviews, and Movie Information from Douban(covering 224 movies released in China)
<p>This dataset contains 3 part:</p> <table> <tbody> <tr> <th>Filename (3 files)</th> <th>Size</th> <th>Description </th> </tr> <tr> <td>douban.movies.json</td> <td>147 kB</td> <td>Movie information from Douban, including a movie's Douban ID, name, rating, staff list, release time, type, box office result, ratings, and amount of official reports mentioned it.</td> </tr> <tr> <td>index.json</td> <td>123 kB</td> <td>The index mentioned in the paper.</td> </tr> <tr> <td>original_comments.json</td> <td>46 MB</td> <td>Original Chinese reviews, including release time and "useful" count until Sept, 2022.</td> </tr> </tbody> </table>
Interactive 3D PDF file for the structures 10 hr juvenile of Oikopleura dioica and supplementary movie S1-20 with high resolution
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Allen Brain Atlas
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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.