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390
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ShareScore release 0.9.0
Dataset results
390 results for “after movie”
Coricello et al. Supplementary Movie 6
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Coricello et al. Supplementary Movie 5
<p>Structures sampled from WT_3DVA_Component_4</p>
Coricello et al. Supplementary Movie 11
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Coricello et al. Supplementary Movie 2
<p>Structures sampled from WT_3DVA_Component_1</p>
Coricello et al. Supplementary Movie 13
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Coricello et al. Supplementary Movie 12
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Coricello et al. Supplementary Movie 10
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Coricello et al. Supplementary Movie 1
<p>Structures sampled from WT_3DVA_Component_0</p>
Coricello et al. Supplementary Movie 7
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Supplementary movie 2
<p>Supplementary movie 2 </p>
Supplementary movie 1
<p>Supplementary movie 1</p>
Supplementary Movies
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movie_NS_xy
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movie_NS_xz
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movie_BH_xz
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Movies for Figures in "In LIGO's Sight? Vigorous Coherent Gravitational Waves from Cooled Collapsar Disks"
<p>Full resolution videos for Figures 1, 3, 4 and 6 in publication: "In LIGO’s Sight? Vigorous Coherent Gravitational Waves from Cooled Collapsar Disks".</p> <p>The movies for Figure 1 (GW_cooled_disk and GW_noncooled_disk) present 3D rendering movie of the density in cooled and non-cooled disks. </p> <p>The movie for Figure 3 (GW_polarizations) shows 3D rendering of the plus polarization in model C.</p> <p>The movie for Figure 4 (Spectrum) shows the evolution of the characteristic strain in the frequency domain in model C.</p> <p>The movie for Figure 6 (Post_merger_disk_GW) presents 3D rendering of density in the post-merger disk.</p>
MMTF-14K: A Multifaceted Movie Trailer Dataset for Recommendation and Retrieval
<p>The MMTF-14K dataset provides a stable and extensive source for devising and evaluating movie recommender systems. MMTF-14K contains <strong><a href="https://mmprj.github.io/mtrm_dataset/datasets">audio and visual descriptors</a></strong> in addition to ratings and metadata for 13,623 Hollywood-type movie trailers. The dataset therefore facilitates research on content-based recommender systems, where content refers not only to metadata, but specifically to visual and auditory characteristics of movies. The data comes also with several baselines <a href="https://mmprj.github.io/mtrm_dataset/benchmark">benchmarking results</a> for uni-modal and multi-modal recommendation systems. The dataset therefore facilitates research on movie recommendation. In addition, the rich data supports the exploration of other multimedia tasks such as popularity prediction, genre classification, or auto-tagging (aka tag prediction).</p> <p>The MMTF-14K dataset has been created as a joint research work by <a href="http://www.ir.disco.unimib.it/yashar-deldjoo/">Yashar Deldjoo </a>(Politecnico di Milano, Italy), <a href="http://www.campus.pub.ro/lab7/gconstantin/">Mihai Gabriel Constantin </a>and <a href="http://campus.pub.ro/lab7/bionescu/">Bogdan Ionescu </a>(University Politehnica of Bucharest, Romania), <a href="http://www.cp.jku.at/people/schedl/">Markus Schedl </a>(Johannes Kepler University Linz, Austria), and <a href="https://scholar.google.it/citations?hl=en&user=dTSOPCMAAAAJ&view_op=list_works&sortby=pubdate">Paolo Cremonesi </a>(Politecnico di Milano, Italy).</p> <p>We would like to acknowledge MovieLens here for providing a stable benchmark dataset of movies containing individual user ratings and metadata which is an enabler for doing research on movie recommendation. Please consider the <a href="http://files.grouplens.org/datasets/movielens/ml-20m-README.html">MovieLens-20M web page</a> for more details on the ratings and tags datasets.</p> <p>For acknowledgments please use our paper:</p> <p>@inproceedings{deldjooMMTF14K, <br> title={MMTF-14K: A Multifaceted Movie Trailer Feature Dataset for Recommendation and Retrieval}, <br> author={Deldjoo, Yashar and Constantin, Mihai Gabriel and Schedl, Markus and Ionescu, Bogdan and Cremonesi, Paolo}, <br> booktitle={Proceedings of the 9th ACM Multimedia Systems Conference}, <br> year={2018}, <br> organization={ACM}}</p> <p>For further inquiries you are free to contact Yashar Deldjoo through his email: <a href="mailto:deldjooy@acm.org">deldjooy@acm.org </a>.</p>
DS_15_MOVIE
<p>Movie plot of Double stranded overhang in invading strand, length = 15 bp.</p>
MOVIE S5 Normal clearance of murine respiratory tract is mediated by discontinuous Muc5b and Muc5ac mucus clouds
<p><strong>Movie S5. Mucus transport of the Muc5ac on the trachea of </strong><strong><em>Muc5b<sup>–/– </sup></em></strong><strong>mice. </strong>The mouse trachea was mounted and submerged in a buffer containing Alcian blue, tilted and the mucus transport in the distal part of the tissue recorded by video microscopy.</p>
MOVIE S2. Normal clearance of murine respiratory tract is mediated by discontinuous Muc5b and Muc5ac mucus clouds
<p>Movie S2. Mucus-trapped beads moves slower than free beads. Mouse trachea was mounted and submerged in a buffer containing Alcian blue and 1 µm fluorescent beads, the tissue tilted, and the movement of mucus and beads recorded by video microscopy.</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.