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390 results for “after movie”
Universal theory of brain waves: from linear loops to nonlinear synchronized spiking and collective brain rhythms (supplemental material: brain wave loops movies)
<p>This is a collection of videos supplementing the paper "Universal theory of brain waves: from linear loops to nonlinear synchronized spiking and collective brain rhythms"</p> <p>Examples of wave trajectories and emergent persistent loop patterns for the spherical shell cortex model with<br> varying amounts of tensor anisotropy and inhomogeneous shell layer thickness.</p> <p><br> Examples of brain wave trajectories and emergent persistent loop patterns for cortical fold geometry with different<br> approaches used for estimation of inhomogeneity and anisotropy. Among those examples are several simple cases with variable inhomogeneity and fixed anisotropy (similar to the above spherical shell cortex model) as well as with more complex estimates of anisotropy based on multiple diffusion gradients MRI (dMRI) acquisitions.</p>
ImProDiReT Final Conference Movie
<p>The video-clip captures the ImProDiReT project and its results (for the area and for the wider disaster risk reduction field) will be presented in a way understandable for the general public. The video is produced with 3 distinct objectives and motivations: (1) the documentation of the project, as it provides an (high-level) overview of the objectives and motivations for the project, the stakeholders involved, activities conducted and the results and outcomes.(2) The video helps partners of the project, including the commission, to bring the project and its results to the attention of others. The video provides an overview and introduction to people not familiar with the project, and a recap of the results for those who are familiar. (3) Finally, the project video aims to spread awareness of the project, the approach and the results to a wide audience. The video aims to not only raise awareness about the project, but specifically about the approach taken by the project.</p>
Interactive 3D PDF file for the structures 10 hr juvenile of Oikopleura dioica and supplementary movie S1-20 with high resolution
<p>The larvacean, Oikopleura dioica is a planktonic chordate, which is an emerging model organism with short life cycle of 5 days and belongs to tunicates (urochordates). Organ formation in the trunk proceeds in seven hours form hatching of tailbud larvae at three hours after fertilization (hpf) to completion of organ formation in fully functional juveniles that start feeding at 10 hpf and are just miniature of adult form.</p> <p>The juveniles were fixed at 10.5 hours post fertilization, 30 min after the tail shift (Nishida, H., 2008 Development of the appendicularian Oikopleura dioica: culture, genome, and cell lineages. Dev. Growth Differ. 50, S239–S256.). The data would be used as a basic morphological data of this animal to explore organ structures and cellular composition.</p> <p>This PDF file allows one to view 3D juvenile of O. dioica in any desired directions. One can show or hide the organs and rotate them by mouse. Open this PDF file and activate it as described in Adobe Acrobat User Guide (https://helpx.adobe.com/acrobat/using/displaying-3d-models-pdfs.html). Click Toggle "Model Tree button" with three small rectangulars in the tool bar. Then in the left panel, one can select the organs and nuclei you want to see. Select lighting as "daylight". Select solid or transparency mode.<br> The Juvenile 3D image was reconstructed with Amira software using 1967 serial section images of SBF-SEM (Serial block face scanning electron microscopy) that are available at https://doi.org/10.5061/dryad.d51c5b012.</p> <p>The Zip file also contains supplementary movie S1-20 (avi file) with high resolution and the legends (PDF file).</p> <p>This data is related to the paper, 3D reconstruction of structures of hatched larva and young juvenile of the larvacean Oikopleura dioica using SBF-SEM. (https://www.nature.com/articles/s41598-021-83706-y).</p>
Using Blender EEVEE for the Generation of Real Time Background Plate in Green Screen Movie Shots
<p>This talk will introduce you to the use of blender EEVEE for green screen shots for a short movie. Green (and blue) screen shots are notoriously difficult to get the lighting condition right, since the image from the camera is dominated by the bright green background. It is very helpful on the set to see in real time the final composition of the scene with the proper background to make adjustments of the camera and the lighting position and the lighting intensity and color.<br> For the shots a large volume mocap solution (Optitrack) was used to track the movie camera (Arri Alexa) and the transformation data was sent to Blender to animate the virtual camera. The previously laser scanned background was rendered in real time in EEVEE. To combine the camera image and the rendered image a dedicated live-keying hardware was used. The described set-up was used in connection with the research project Virtually Real – Aesthetics and Perception of Virtual Spaces in Film by the Zurich University of the Arts and the University of Bern, funded by the Swiss National Science Foundation. <br> </p>
A studyforrest extension, an annotation of spoken language in the German dubbed movie ``Forrest Gump'' and its audio-description (annotation)
<p>This dataset contains the annotation of speech spoken in the research cut (Hanke et al. 2014; Hanke et al., 2016) of the movie "Forrest Gump" (Zemeckis, 1994) and its audio-description that was broadcast as an additional audio track (Koop et al., 2009) for visually impaired listeners on Swiss public television. The corresponding paper is hosted on github (https://github.com/psychoinformatics-de/studyforrest-paper-speechannotation) and published in f1000research (https://doi.org/10.12688/f1000research.27621.1).</p>
Long document similarity datasets, Wikipedia excerptions for movies, video games and wine collections
<p>Three corpora in different domains extracted from Wikipedia.</p> <p>For all datasets, the figures and tables have been filtered out, as well as the categories and "see also" sections.</p> <p>The article structure, and particularly the sub-titles and paragraphs are kept in these datasets</p> <p> </p> <p><strong>Wines</strong></p> <p>Wikipedia wines dataset consists of 1635 articles from the wine domain. The extracted dataset consists of a non-trivial mixture of articles, including different wine categories, brands, wineries, grape types, and more. The ground-truth recommendations were crafted by a human sommelier, which annotated 92 source articles with ~10 ground-truth recommendations for each sample. Examples for ground-truth expert-based recommendations are </p> <ul> <li>Dom Pérignon - Moët & Chandon</li> <li>Pinot Meunier - Chardonnay</li> </ul> <p><strong>Movies</strong></p> <p>The Wikipedia movies dataset consists of 100385 articles describing different movies. The movies' articles may consist of text passages describing the plot, cast, production, reception, soundtrack, and more.<br> For this dataset, we have extracted a test set of ground truth annotations for 50 source articles using the "<a href="https://bestsimilar.com/">BestSimilar</a>" database. Each source articles is associated with a list of ${\scriptsize \sim}12$ most similar movies.<br> Examples for ground-truth expert-based recommendations are </p> <ul> <li>Schindler's List - The Pianist</li> <li>Lion King - The Jungle Book</li> </ul> <p><strong>Video games</strong></p> <p>The Wikipedia video games dataset consists of 21,935 articles reviewing video games from all genres and consoles. Each article may consist of a different combination of sections, including summary, gameplay, plot, production, etc. Examples for ground-truth expert-based recommendations are:</p> <ul> <li>Grand Theft Auto - Mafia</li> <li>Burnout Paradise - Forza Horizon 3</li> </ul>
Scene camera movies from mobile eye tracker
<p>These are the full recorded scene camera scenes. Eye position data for each scene can also be found here as well as an excel file detailing which parts of the clips we used.</p>
Bio4Products introduction movie
<p>An introduction of the Bio4Products project. 4 new biobased products are produced from biomass via fast pyrolysis</p>
Gujarati Movie Reviews with Tagged Sentiments (Positive/ Negative/ Neutral)
<p>This dataset encompasses around 500 entries of movie review descriptions written in the Gujarati language. Each entry is paired with a sentiment classification tag. The first column contains the actual movie review descriptions, while the second column contains sentiment tags with the following meanings:</p><ul><li>"0" denotes that the corresponding review expresses a negative sentiment.</li><li>"1" signifies a neutral sentiment.</li><li>"2" conveys a positive sentiment.</li></ul><p>To sum it up succinctly, this dataset provides a valuable collection of <strong>Gujarati movie reviews</strong>, each thoughtfully categorized as either <strong>negative</strong>, <strong>neutral</strong>, or <strong>positive</strong> in tone, offering rich insights for sentiment analysis tasks and research.</p><p>The dataset is manually tagged by native speakers with more than 20 years of experience in using the language.</p>
Supplemental Movie 1: Stochastic Ca2+ transients in ICC-DMP.
<p><strong><span>Supplemental Movie 1: S</span><span>tochastic Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>transients in</span></strong><span> <strong>ICC-DMP.<span> </span></strong>Movie of intracellular Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>transients in ICC-DMP labelled with the genetically encoded Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>indicator GCaMP3. The top left FOV shows elongated ICC-DMP at 60x and the top right FOV shows ICC-DMP at 100x magnification. Note the lack of coincidence of Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>transients between the blue bit-masked cell and the non-bit-masked cell in the 100x FOV. The blue bit-masked ICC-DMP in the 100x FOV was used to construct a spatio-temporal map of Ca</span><sup><span>2+</span></sup><span>-induced fluorescence intensity along the length of the cell (lower panel).<span> </span>Note the stochastic firing of spontaneous Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>transients in ICC-DMP.<span> </span>Copied with permission from reference </span><span><span>(127)</span></span><span>.<span> </span></span></p> <p> </p> <p><span><span><a href="https://doi.org/10.1152/physrev.00036.2022">https://doi.org/10.1152/physrev.00036.2022</a></span></span></p>
Supplemental Movie 3: Simultaneous dual-color imaging of ICC-SM in the colon and adjacent SMCs.
<p><strong><span>Supplemental Movie 3: Simultaneous dual-color imaging of ICC-SM in the colon and adjacent SMCs.<span> </span></span></strong><span>Video shows spontaneous, propagating Ca<sup>2+</sup> waves through an ICC-SM network along the submucosal surface of the CM in the proximal colon.<span> </span>FOVs are from a muscle of a mouse expressing GCaMP6f in ICC (left FOV; colored green) and RCaMP1.07 in SMCs (right FOV; colored red) imaged simultaneously with a 20x objective. The characteristics of the fluorophores are such that there is minimal spectral overlap. Signals in ICC-SM and SMCs are coordinated, showing initiation of each cycle of Ca<sup>2+</sup> transients in the ICC-SM network followed by activation of SMCs adjacent to ICC-SM. Bottom panel shows traces from fluorescence images:<span> </span>ICC-SM transients (green trace) preceded Ca<sup>2+</sup> signals in SMCs (red trace). Copied with permission from Reference </span><span><span>(133)</span></span><span>.</span></p> <p><strong><span> </span></strong></p>
Supplemental Movie 2: Clustered Ca2+ transients (CTCs) in gastric ICC-MY occur from multiple firing sites.
<p><strong><span>Supplemental Movie 2: Clustered Ca<sup>2+</sup> transients (CTCs) in gastric </span><span>ICC-MY occur from multiple firing sites</span></strong><span>.<span> </span>ICC-MY in the gastric antrum firing of CTCs and imaged at high resolution with a spinning disk confocal microscope using a 60x objective. </span><span>Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>signals were monitored in a gastric muscle from a mouse with the genetically encoded </span><span>Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>indicator, GCaMP6f, expressed exclusively in ICC. The left panel shows typical stellate-shaped ICC-MY with multiple interconnecting processes. The middle panel shows the </span><span>Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>particle (PTCL) activity, color coded in blue for raw PTCLs, and the centroids of particles are indicated in purple and green indicates </span><span>Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>firing sites. There are multiple sites firing </span><span>Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>transients during the CTCs.<span> </span>The right panel shows an occurrence map of color-coded initiation/firing sites. The pattern of firing sites </span><span>Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>activity was temporally clustered as activation of </span><span>Ca</span><sup><span>2+</span></sup><span><span> transients </span></span><span>swept through the network of ICC-MY.<span> </span>The onset of the CTCs was explosive, and then asynchronous firing of occurred at multiple sites and was sustained for more than 2 sec.<span> </span>Note also the complete quiescence of firing immediately upon conclusion of a CTC (absolute refractory period) and then sporadic initiation of firing with time.<span> </span>It is the re-initiation of firing that sets off the next CTC by activating ANO1 channels, depolarization and activation of voltage-dependent Ca<sup>2+</sup> current (see text for details).<span> </span>Reformatted with permission from reference </span><span><span>(106)</span></span><span>.<span> </span></span></p>
Supplemental Movie 4: Subtypes of ICC-IM with different Ca2+ firing patterns in the IAS.
<p><strong><span>Supplemental Movie 4:<span> </span>S</span>ubtypes of ICC-IM with different Ca<sup>2+</sup> firing patterns in the IAS</strong></p> <p><span>Video from the distal edge of the internal anal sphincter (IAS) from a mouse expressing GCaMP6f exclusively in ICC using a 20x objective. Active ICC-IM show 2 patterns of Ca<sup>2+</sup> transients.<span> </span>Type I cells (* and green text) displayed stochastic Ca<sup>2+</sup> transients with short distances of spatial spread.<span> </span>Type II cells (* and yellow text) showed whole-cell flashes of activity. The still image and spatio-temporal (ST) maps (derived from the highlighted cells) and Ca<sup>2+</sup> traces shown in Fig. 20A-E were generated from this recording.<span> </span>Data correspond to figure in reference </span><span><span>(136)</span></span><span>.<span> </span></span></p>
Supplemental Movie 5: Pattern of slow wave activation in intact stomach as viewed by imaging of Ca2+ transients in ICC-MY.
<p><strong><span>Supplemental Movie 5:<span> </span>P</span>attern of slow wave activation in intact stomach as viewed by imaging of Ca<sup>2+</sup> transients in ICC-MY<span> </span></strong><span>Ca</span><sup><span>2+</span></sup> transients were monitored in canulated whole stomachs taken from mice expressing GCaMP3 exclusively in ICC (upper left panel). The whole stomach from fundus through the pylorus is visualized in the FOV.<span> </span>Right panel shows differentiated image in which background (unchanged pixels) remains black and active pixels (ICC) are intensity-coded to white.<span> </span>Activation of <span>Ca</span><sup><span>2+</span></sup> waves (which activate currents in ICC-MY and generate slow waves in gastric muscles) develop into a spiral pattern of activation from a dominant pacemaker region near the greater curvature of the corpus.<span> </span><span>Ca</span><sup><span>2+</span></sup> transients in the whole stomach <span>are plotted as a spatio-temporal map, displaying proximal to distal propagation of Ca</span><sup><span>2+</span></sup><span><span> waves</span></span><span> along the length of the stomach (lower panel). (Provided by Dr. Grant Henning)</span></p>
Supplementary AIA Movies for the Solar Flares described in "Investigating the Soft X-ray Spectra of Solar Flare Onsets"
<p>This repository contains flare movies of six solar flares described in the paper "Investigating the Soft X-ray Spectra of Solar Flare Onsets".</p> <p>For each flare both the standard AIA 193 Angstrom Solar Dynamics Observatory (SDO) Atmospheric Imager (AIA) Assembly Extreme Ultra-Violet (EUV) image animations, as well as the running difference animations are included. The format of the file names for the AIA 193 Angstrom images is ‘DOY_NNN_Col.mp4’, where NNN is denotes the Day of Year (for e.g., DOY_065_Col.mp4) and the suffix ‘Col’ denotes ‘Colored’. Similarly the format of the file names for the difference images is ‘DOY_NNN_Diff.mp4’ where the suffix ‘Diff’ denotes ‘Difference Image’. The timestamp of each image in the animations is also shown on the top of the image.</p> <p>The SDO-AIA images are courtesy of NASA/SDO and the AIA and HMI science teams, and have been accessed from <a href="http://jsoc.stanford.edu/">http://jsoc.stanford.edu/</a>.</p>
rottentomatoes__movies_at_home__newest__april_2024
<p>This dataset is part of an exercise in the UOC's Data Typology and Life Cycle subject.</p> <p>In this dataset you will find 5000 movies you can watch in home streaming. It will help you to find where to watch your favorite movie online.</p> <p>The data is from https://www.rottentomatoes.com/</p>
Movies: herringbone flows and flapping waves, 2d inclined inviscid Saint-Venant equations
<p>Supplementary movies for <em><strong>Multidimensional stability and transverse bifurcation of hydraulic shocks and roll waves in open channel flow</strong>.</em></p> <p>See <a href="https://github.com/zyang-pde/Multi-d_inviscid_Saint-Venant_eqs">https://github.com/zyang-pde/Multi-d_inviscid_Saint-Venant_eqs</a> for source codes used to generate these movies.</p> <p><strong>dam_break_F_equals_2_point_25.mp4</strong></p> <p>Dam-break initial data with left fluid height 1, right fluid height 0.7, and Froude number 2.25. The discontinuous hydraulic shock is 2d convectively unstable. Herringbone flows are seen at the end.</p> <p><strong>flat_F_equals_2_point_25.mp4</strong></p> <p>Flat initial data with co-moving speed set to be that of discontinuous hydraulic shock with left limiting fluid height 1, right limiting fluid height 0.7, and Froude number 2.25. Herringbone flows, parabola, and roll waves are seen at the end.</p> <p><strong>dam_break_comparison.mp4</strong></p> <p>Comparison of simulations with dam break initial data and with Froude numbers 2.13,2.14,2.15.</p> <p><strong>flat_comparison.mp4</strong></p> <p>Comparison of flat simulations with flat initial data and with Froude numbers 2.13,2.14,2.15.</p> <p> </p> <p>Movies below are simulated with perturbed roll waves initial data. The Froude number is set to be 6 and the minimum fluid height is set to be 0.28 and the channel width and the y-boundary condition are varied.</p> <p><strong>roll_width_point15.mp4</strong></p> <p>With <strong>wall</strong> boundary condition, the width of the channel is set to be <strong>0.15</strong>. No flapping front is seen at the end. Channel roll waves are stable.</p> <p><strong>roll_width_point16.mp4</strong></p> <p>With <strong>wall</strong> boundary condition, the width of the channel is set to be <strong>0.16</strong>. No flapping front is seen at the end. Channel roll waves are stable.</p> <p><strong>roll_width_point17.mp4</strong></p> <p>With <strong>wall</strong> boundary condition, the width of the channel is set to be <strong>0.17</strong>. No flapping front is seen at the end. Channel roll waves are stable.</p> <p><strong>roll_width_point18.mp4</strong></p> <p>With <strong>wall</strong> boundary condition, the width of the channel is set to be <strong>0.18</strong>. Wave fronts start to flap after a while. The flapping waves are persistent and do not become chaotic.</p> <p><strong>roll_width_point18_refined.mp4</strong></p> <p>With <strong>wall</strong> boundary condition, the width of the channel is set to be <strong>0.18</strong>. Wave fronts start to flap after a while. The flapping waves are persistent and do not become chaotic. Finer mesh grid is used compared with roll_width_point18.py. Raw data files are used to generate figures in the paper.</p> <p><strong>roll_width_point18_periodic.mp4</strong></p> <p>With <strong>periodic</strong> y-boundary condition, the width of the channel is set to be <strong>0.18</strong>. No flapping front is seen at the end. Channel roll waves are stable.</p> <p><strong>roll_width_point36_periodic.mp4</strong></p> <p>With <strong>periodic</strong> y-boundary condition, the width of the channel is set to be <strong>0.36</strong>. Wave fronts start to flap after a while. The flapping waves are persistent and do not become chaotic.</p> <p><strong>roll_width_point19.mp4</strong></p> <p>With <strong>wall</strong> boundary condition, the width of the channel is set to be <strong>0.19</strong>. Wave fronts start to flap after a while. The flapping waves are persistent and do not become chaotic.</p> <p><strong>roll_width_point2.mp4</strong></p> <p>With <strong>wall</strong> boundary condition, the width of the channel is set to be <strong>0.2</strong>. Wave fronts start to flap after a while. The flapping waves are also unstable, transitioning to chaotic flow at the end.</p> <p><strong>roll_width_1.mp4</strong></p> <p>With <strong>wall</strong> boundary condition, the width of the channel is set to be <strong>1</strong>. Wave fronts start to flap after a while. The flapping waves are also unstable, transitioning to chaotic flow at the end.</p> <p> </p>
Sci-Fi movies by inflation-adjusted gross revenue in the United States.
<p>Sci-Fi movies by inflation-adjusted gross revenue in the United States.</p> <p>The dataset is a .csv file with < ; >used as separator.</p> <p>The dataset has the next columns:</p> <ul> <li>Title: movie title.</li> <li>Release_Year: year of the movie's release.</li> <li>Watchtime: movie duration in minutes.</li> <li>Genre: genre.</li> <li>Movie_Rating: IMDB movie rating.</li> <li>Metascore: metacritic movie rating.</li> <li>Votes: number of ratings.</li> <li>Gross_collection: incomes generated by the movie.</li> <li>Sinopsis.</li> <li>Director.</li> <li>Star: main actors.</li> <li>Gross_equivalent: income generated by movies with dollar devaluation correction.</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Top 1000 movies according to IMDb
<p>This dataset contains information about the top 1000 movies, as rated by IMDb users. Source code can be found in the following github repository: https://github.com/mruizmarc/top-1000-movies-according-to-imdb.</p> <p> </p> <p>This task is an assignment from a Master's degree from Universitat Oberta de Catalunya (UOC).</p>
Planetary Atmosphere-Interior Model Outputs from Time-Evolution Movie
<p>This array contains the outputs from the movie version of Fig. 2 in Krissansen-Totton et al. (2021, Nature Astronomy). The numpy array can be loaded as follows</p> <p>Outputs = np.load("Output_arrays.npy",allow_pickle=True)</p> <p>The array has format Outputs[i][k][j]</p> <p>where i = 0, ... 5 (total_time, pO2, pCO2, pH2O, Tsurf, and AU)</p> <p>k = 0 , ..., 1437 is the iteration number</p> <p>j = 0 , ... , 2000 is the time index</p> <p>(AU is just a scalar providing orbital separation of that iteration)</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.