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80 results for “OPERAS”
Data from the OPERAS business models survey on open access books
<p>OPERAS (the European Research Infrastructure for the development of open scholarly communication in the social sciences and humanities) has conducted a survey of publishing organisations throughout Europe to identify and better understand existing and potential business models to support the Open Access publication of research monographs. The results of the survey are used to inform the formulation of recommendations about how to create a sustainable open access book publishing ecosystem within Europe.</p> <p>The survey was designed to serve two core aims: <br> 1. To further, better or improve our understanding of the scholarly publishing landscape and of the challenges that publishers face in the context of publishing OA monographs;<br> 2. To identify main trends (including opportunities and challenges) and the knowledge of collaborative funding and infrastructure models in OA publishing in SSH. </p> <p>The survey was open between 16 February and 14 April 2021.</p> <p>The results are presented in two versions of the white paper of the Open Access Business Models Special Interest Group: Stone, Graham, Błaszczyńska, Marta, Lebon, Chloé, Morka, Agata, Mosterd, Tom, Mounier, Pierre, Proudman, Vanessa, Speicher, Lara, & Melinščak Zlodi, Iva. (2021). Collaborative models for OA book publishers (1.0). Zenodo. https://doi.org/10.5281/zenodo.5494731 and the second version to be published in Spring 2023.</p>
eedward3/Opera-Company-IRS-990-Merge: Opera_Company_IRS_990_Merge_Release1
<p>The purpose of this script is to merge a compiled list of all Opera Companies in the US with their corresponding IRS 990 data, if available.</p>
OPERAS Crowdfunding Workshop 24th May 2022
<p>In the 1-hour introduction workshop explaining the OPERAS crowdfunding channel featured on GoTriple, experts on scientific crowdfunding provide tips and tools to understand what crowdfunding is, how it can be applied to science, and how to launch a campaign to collect financial support from the crowd, but also communicate research in the most succesful way. The presentation is followed by a 30 minutes of Q&A.</p> <p>Presenters: Paula Forbes (Abertay University Dundee, Scotland/TRIPLE project) & Alizé Aversano (wemakeit)</p> <p>Moderator: Sona Arasteh (MWS / TRIPLE Project)</p>
Dataset: Opera Limited (OPRA) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Beijing Opera Percussion Instrument Dataset
<p>The Beijing Opera percussion instrument dataset is a collection of audio examples of individual strokes spanning the four percussion instrument classes used in Beijing Opera (Jingju, 京剧).</p> <p>Beijing Opera uses six main percussion instruments that can be grouped into four classes: </p> <ol> <li><strong>Bangu</strong> (Clapper-drum) consisting of Ban (the clapper, a wooden board-­shaped instrument) + danpigu (a wooden drum struck by two wooden sticks)</li> <li><strong>Naobo</strong> (Cymbals) consisting of two cymbal instruments Qibo+Danao</li> <li><strong>Daluo</strong>: Large gong</li> <li><strong>Xiaoluo</strong>: Small gong</li> </ol> <p><strong>Audio content</strong></p> <p>The dataset provides audio examples for each of these instrument classes.</p> <p>The audio examples were recorded under studio conditions by Mi Tian at the <a href="http://c4dm.eecs.qmul.ac.uk/">Centre for Digital Music</a>, Queen Mary University of London, UK in September 2013 using an AKG C414 microphone. The audio was sampled at 44.1 kHz and stored as 16 bit wav files. The instruments were played by Ying Wan of the London Jing Kun Opera Association. Unlike some instruments that can be tuned, these percussion instruments are made from metal casting. Thus, there can be subtle timbral differences even across different instruments of the same kind. For each of these instruments, we used 2-3 individual instruments to record the samples, hoping to achieve a better timbre coverage. Further, audio samples were recorded using different playing techniques for each instrument.</p> <p>The dataset can be used for training models for each percussion instrument class. </p> <p>Each audio file is named as, </p> <pre><code><InstrumentClass>_<InstanceNumber>.wav</code></pre> <p><strong>Using this dataset</strong></p> <p>Please cite the following paper if you use this dataset in your work:</p> <blockquote> <p>Mi Tian, Ajay Srinivasamurthy, Mark Sandler, and Xavier Serra, "A Study of Instrument-wise Onset Detection in Beijing Opera Percussion Ensembles", in Proceedings of ICASSP 2014, Florence, Italy, May 2014.</p> </blockquote> <p><a href="https://doi.org/10.1109/ICASSP.2014.6853981">https://doi.org/10.1109/ICASSP.2014.6853981</a></p> <p>We are interested in knowing if you find our datasets useful! If you use our dataset please email us at <a href="mailto:mtg-info@upf.edu">mtg-info@upf.edu</a> and tell us about your research.</p> <p><strong>Contact</strong></p> <p>If you have any questions or comments about the dataset, please feel free to write to us: </p> <p>Mi Tian ( m.tian@qmul.ac.uk ) or Ajay Srinivasamurthy ( ajays.murthy@upf.edu)</p> <p> </p> <p><a href="http://compmusic.upf.edu/bo-perc-dataset">http://compmusic.upf.edu/bo-perc-dataset</a></p>
H2020 OPERA Project: Power Take-Off and Control Law testing in MARMOK-A-5 Wave Energy Converter at BiMEP
<p>Funded under European Union's Horizon 2020 Programme, <a href="http://opera-h2020.eu/">OPERA</a> project’s main objective is to reduce the time to market of wave energy, by further advancing in 4 key innovations aiming to reduce up to 50% the Levelized Cost of Energy (LCOE) projections of a floating Oscillating Water Column (OWC) technology.</p> <p>As part of project activities, a series of Power Take-Off (PTO) and Control Law (CL) tests were carried out using IDOM's MARMOK-A-5 wave energy converter, while this was deployed in the Biscay Marine Energy Platform (BiMEP) from October 2018 to June 2019.</p> <p>The datasets herein contain a collection of PTO and CL testing results obtained during this extensive testing campaign, providing quantitative evidence of the performance of both innovations. </p>
H2020 OPERA Project: Mooring System Experimental data from MARMOK-A-5 Wave Energy Converter at BiMEP
<p>Funded under European Union's Horizon 2020 Programme, <a href="http://opera-h2020.eu/">OPERA</a> project’s main objective is to reduce the time to market of wave energy, by further advancing in 4 key innovations aiming to reduce up to 50% the Levelized Cost of Energy (LCOE) projections of a floating Oscillating Water Column (OWC) technology.</p> <p>As part of project activities, a condition monitoring system was deployed during the open-sea testing campaign of IDOM's MARMOK-A-5 wave energy converter, while this was deployed in the Biscay Marine Energy Platform (BiMEP) from October 2016 to June 2019.</p> <p>The dataset herein contains a collection of experimental results obtained during this extensive testing campaign, The campaign covers two deployment periods, where the first testing period includes polyesther tethers and the second testing campaing includes innovative elastomeric tethers as described in more detail in the project documentation. This experimental dataset aims to provide quantitative comparison data of the dynamic behavior of the system under these two different configurations.</p>
OPERAS-P final meeting, [Turin], June 29, 2021
<p>Video recording of the Final meeting of the OPERAS-P project.</p> <p>Programme:</p> <p>Welcoming address by Enrico Pasini (<a href="https://www.iliesi.cnr.it/">CNR</a>)</p> <p>11.30–11.40 “OPERAS, vision, mission and organization” by Suzanne Dumouchel (<a href="http://www.huma-num.fr/">Huma-Num</a>)</p> <p>11.40–11.50 “We are here for you: the role of the National Nodes” by Elena Giglia (<a href="https://en.unito.it/">University of Torino</a>)</p> <p>11.50–12.00 Being inclusive being so different: OPERAS governance by Lars Wieneke (<a href="https://www.c2dh.uni.lu/">Université du Luxembourg, C2DH</a>)</p> <p>12.00–12.10 Working with the community: OPERAS Special interest groups by Delfim Leão (<a href="https://digitalis.uc.pt/en">UC Digitalis</a>, University of Coimbra)</p> <p>12.10–12.20 What’s next? OPERAS and innovation lab by Macijej Maryl and Marta Błaszczynska (<a href="http://ibl.waw.pl/">IBL PAN</a>)</p> <p>12.20–12.30 Building up OPERAS as a community-driven infrastructure by Pierre Mounier (<a href="https://www.openedition.org/">OpenEdition</a>)</p> <p>12.30–13.00 Listening to the community</p> <p>13.00 Closing remarks by Suzanne Dumouchel (<a href="http://www.huma-num.fr/">Huma-Num</a>) and Pierre Mounier (<a href="https://www.openedition.org/">OpenEdition</a>)</p> <p>Chaired and hosted by Elena Giglia (<a href="https://en.unito.it/">University of Torino</a>)</p>
OPERA COMPASS reflector test dataset over Rosamond, CA, USA
<p>File descriptions:</p> <ul> <li>S1A_IW_SLC__1SDV_20221016T015043_20221016T015111_045461_056FC0_6681.zip - SAFE zip containing one Sentinel 1A, IW mode, subswath 1, SV polarization SLC and associated metadata</li> <li>S1A_OPER_AUX_POEORB_OPOD_20221105T083813_V20221015T225942_20221017T005942.EOF - Sentienl 1A orbit over subswath</li> <li>test_dem.tiff - DEM for burst to be geocoded</li> <li>test_burst_map.sqlite3 - SQLite burst database containing bounds of burst to be geocoded</li> <li>2022-10-16_0000_Rosamond-corner-reflectors.csv - list of corner reflector latitude/longitude coordinates</li> </ul>
Impact of a Telenovela/Soap Opera for HIV Prevention in Latinas
ClinicalTrials.gov study NCT05929482. IPD Sharing: YES. Countries: 1. Publications: 33.
Love Infection: A Dramatized Story Intervention (Telenovela/Soap Opera) for HIV Prevention
ClinicalTrials.gov study NCT05358366. IPD Sharing: YES. Countries: 1. Publications: 30.
Five-years of ocrelizumab in relapsing multiple sclerosis: OPERA studies open-label extension
<p><b>Objective</b></p> <p>To assess over 3 years of follow-up, the effects of maintaining or switching to ocrelizumab (OCR) therapy on clinical and MRI outcomes and safety measures in the open-label extension (OLE) phase of the pooled OPERA studies in relapsing multiple sclerosis.</p> <p><b>Methods</b></p> <p>After 2 years of double-blind, controlled treatment, patients continued OCR (600 mg infusions every 24 weeks) or switched from interferon (IFN) β-1a (44 μg 3 times weekly) to OCR when entering the OLE phase (3 years). Adjusted annualized relapse rate, time to onset of 24-week confirmed disability progression/improvement (CDP/CDI), brain MRI activity (gadolinium-enhanced and new/enlarging T2 lesions), and percentage brain volume change were analyzed.</p> <p><b>Results</b></p> <p>Of patients entering the OLE phase, 88.6% completed Year 5. The cumulative proportion with 24-week CDP was lower in patients who initiated OCR earlier, vs patients initially receiving IFN β-1a (16.1% vs 21.3% at Year 5; <i>p</i>=0.014). Patients continuing OCR maintained, and those switching from IFN β-1a to OCR attained near complete and sustained suppression of new brain MRI lesion activity from Year 3 to 5. Over the OLE phase, patients continuing OCR exhibited less whole brain volume loss from double-blind study baseline vs those switching from IFN β-1a (–1.87% vs –2.15% at Year 5; <i>p</i><0.01). Adverse events were consistent with past reports and no new safety signals emerged with prolonged treatment.</p> <p><b>Conclusion</b></p> <p>Compared with patients switching from IFN β-1a, earlier and continuous OCR treatment up to 5 years provided sustained benefit on clinical and MRI measures of disease progression.</p>
18th century bench from Hungarian Opera House
This is a really special piece of furniture from the Hungarian State Opera House. This piece is from the waiting hall of the royal lodge. Source: Objaverse 1.0 / Sketchfab
"La Danse" in Opera House of Paris
This is not the original "La Danse" of Jean-Baptiste Carpeaux, but a copy by Jean Juge in the façade of Opera Garnier in Paris, while the original one is in Orsay Museum since 1988. There were models of "La Danse" in Sketchfab, like jks_rnr's one (https://skfb.ly/CAOJ) - the very same model in Opera, or Geoffrey Marchal's one from Copenhagen, Denmark (https://skfb.ly/FzGu). Nevertheless, there is a pleasure to take photos myself. 65 photos of 24MPixel are taken in Sunday morning the July 26th, 2015 with my Sony A6000 and 19mm prime lens. I like to add some context, so there is pedestal and stair of the Opera. There is a presentation from Khan Academy about the sculpture : https://youtu.be/3ZGmMTNyW0k Comparing to the model of jks_rnr uploaded several months ago, there is one thumb missing (for real) in a hand of a nymph, what's a pity. Another chef d'oeuvre of Jean-Baptiste Carpeaux, Fontaine de l'Observatoire in Paris: https://skfb.ly/DVZK (downloadable now) Source: Objaverse 1.0 / Sketchfab
Sydney Opera House
Worked on this piece for the Stylized Station's Guntlet challenge on their Discord channel. The theme was taking about diving into different cultures and this grand architecture is one of my most favorite places I have visited. Modeled in Blender, textured in Substance Painter using a PBR workflow. Source: Objaverse 1.0 / Sketchfab
City Opera
City Opera Cultural heritage & history City Opera Cultural heritage & history City Opera Cultural heritage & history #3130 Source: Objaverse 1.0 / Sketchfab
Nonprofit Opera 2014 Financial Merge
<p>The purpose of this script is to merge a previously compiled list of all Opera Companies in the US with their corresponding IRS 990 or 990EZ data, if available.</p>
Handwritten Opera OMR
<p>This repository contains the dataset of more than 198.000 small images extracted from handwritten music scores of the Archivio Storico Ricordi and organized for optical music recognition (OMR) research.</p> <p>The images are categorized in 11 classes (multiclass task) or 2 classes (binary task).</p> <p>In the download there is also the code used for annotating and analyzing the dataset, as well as the model weights resulting from training.</p> <p>Additional information is available in the paper (under review).</p> <h2>Cite us</h2> <p>Simonetta F., Mondal R., Ludovico L. A., Ntalampiras S. "<em>Optical Music Recognition in Manuscripts from the Ricordi Archive</em>", AudioMostly 2024, Milan, Italy. DOI: https://doi.org/10.1145/3678299.3678324</p> <p> </p>
Jingju (Beijing opera) "Remorse at death" multi-camera teaching and performing videos
<p>此文件包含梅派京剧曲目《生死恨》多视角教学、演出视频,由中国戏曲学院摄制。 本素材属于由中国戏曲学院张晶老师负责的北京市社会科学基金研究基地项目 -- 《梅派唱腔的音视频与电脑辅助教学研究》(项目号 16JDYTA016)成果的一部分。Music Technology Group, Universitat Pompeu Fabra, Barcelona作为项目参与方负责讲此视频素材封装在iOS app中。</p> <p>This file contains the multi-camera teaching and performing videos of Mei school jingju (Beijing opera) play "Remorse at death", shot and edited by National Academy of Chinese Theatre Arts (NACTA). These video materials are a part of the outcome of the Beijing City Social Science Foundation project -- "Audio-Visual and computer-aided research on Mei school singing teaching" (Num. 16JDYTA016), directed by professor ZHANG Jin in NACTA. As a collaborator, Music Technology Group, Universitat Pompeu Fabra, Barcelona is in charge of encapsulating these videos materials into an iOS app.</p>
Firenze, Museo dell'Opera del Duomo. St Catherine of Alexandra with scenes of her life and portraits of donors
<p>St Catherine of Alexandra with scenes of her life and portraits of donors. Firenze, Museo dell'Opera del Duomo 2005/133.</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.