Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
11
datasets available to search
ShareScore release 0.9.0
Dataset results
11 results for “Music Scores”
pl-wnifc/humdrum-polish-scores: Digital scores from the "Polish Music Heritage in Open Access" project
<p>Digital scores from the Polish Music Heritage in Open Access project</p> <p>This repository contains transcriptions from the Heritage of Polish Music in Open Access project at the <a href="https://nifc.pl/en">Chopin Institute</a> in the Humdrum digital score format. Files are organized by the RISM siglum ID of the source archive.</p> <p>Frontend</p> <p>The main user interface for these digital scores is at <a href="https://polishscores.org/">https://polishscores.org/</a>. All transcriptions include scans of the physical scores.</p> <p>Staff:</p> <ul> <li><strong>Lead</strong>: Marcin Konik</li> <li><strong>Technical Lead</strong>: Craig Stuart Sapp</li> <li><strong>Project Manager</strong>: Jacek Iwaszko</li> <li><strong>Metadata Manager: </strong>Marcelina Chojecka</li> <li><strong>Assistant Project Manager</strong>: Emilia Ziętek</li> </ul> <p> </p> <p>Data created within EU funded project "Polish Music Heritage in Open Access"</p> <p>Co-financed by the Ministry of Culture and National Heritage</p> <p> </p> <table align="left"> <caption>Archives represented in repository</caption> <thead> <tr> <th scope="col">Siglum</th> <th scope="col">Library</th> <th scope="col">Scores</th> </tr> </thead> <tbody> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-cz/kern">pl-cz</a></td> <td><a href="https://jasnagora.pl/en/o-sanktuarium/biblioteki/biblioteka-jasnogorska">Jasna Góra Monastery</a></td> <td>1294</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-gd/kern">pl-gd</a></td> <td><a href="https://bgpan.gda.pl/?lang=en">Gdańsk Library PAoS</a></td> <td>244</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kc/kern">pl-kc</a></td> <td><a href="https://mnk.pl/branch/the-princes-czartoyski-library">Czartoryski Library, Cracow</a></td> <td>108</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kj/kern">pl-kj</a></td> <td><a href="https://bj.uj.edu.pl/en_GB/start-en">Jagiellonian Library, Cracow</a></td> <td>29</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kk/kern">pl-kk</a></td> <td><a href="http://akkk.com.pl/">Wawel Cathedral, Cracow</a></td> <td>1720</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kozmzk/kern">pl-kozmzk</a></td> <td><a href="https://www-muzeumzamoyskich-pl.translate.goog/?_x_tr_sch=http&_x_tr_sl=auto&_x_tr_tl=en&_x_tr_hl=en">Zamoyski Museum, Kozłówka</a></td> <td>168</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-sa/kern">pl-sa</a></td> <td><a href="http://bc.bdsandomierz.pl/dlibra?language=en">Diocesan Library, Sandomierz</a></td> <td>1244</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-stab/kern">pl-stab</a></td> <td><a href="https://rism.info/library_collections/2017/09/28/music-in-the-convent-of-st-adalberts-abbey-in.html">St. Adalbert Abbey, Staniątki</a></td> <td>154</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wn/kern">pl-wn</a></td> <td><a href="https://www.bn.org.pl/en">Polish National Library</a></td> <td>496</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wnifc/kern">pl-wnifc</a></td> <td><a href="https://nifc.pl/en">Chopin Institute, Warsaw</a></td> <td>390</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wtm/kern">pl-wtm</a></td> <td><a href="http://warszawskietowarzystwomuzyczne.pl/biblioteka/">Warsaw Music Society</a></td> <td>1163</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wumfc/kern">pl-wumfc</a></td> <td><a href="http://www.biblioteka.chopin.edu.pl/pl">Chopin University of Music</a></td> <td>151</td> </tr> </tbody> </table> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Turkish Makam Music Audio-Score Alignment Dataset
<p>This release contains the annotations and the scores to test the audio-score alignment methodology explained in:</p> <blockquote> <p><em>Şentürk, S., Gulati, S., and Serra, X. (2014). <strong>Towards alignment of score and audio recordings of Ottoman-Turkish makam music.</strong> In Proceedings of 4th International Workshop on Folk Music Analysis, pages 57–60, Istanbul, Turkey.</em></p> </blockquote> <p>The dataset in this release is derived from the transcription test dataset used in the paper:</p> <blockquote> <p><em>Benetos, E. & Holzapfel, A. (2013). <strong>Automatic transcription of Turkish makam music.</strong> In Proceedings of 14th International Society for Music Information Retrieval Conference, 4 - 8 Nov 2013, Curitiba, PR, Brazil.</em></p> </blockquote> <p>The scores for each composition are obtained from the SymbTr collection explained in:</p> <blockquote> <p><em>Karaosmanoğlu, K. (2012). <strong>A Turkish makam music symbolic database for music information retrieval: SymbTr.</strong> In Proceedings of 13th International Society for Music Information Retrieval Conference (ISMIR), pages 223–228.</em></p> </blockquote> <p>From the annotated score onsets for some of the above recordings only the main singing voice segments have been selected. Further separately only a subset of vocal onsets crresponding to phoneme transitions rules have been explicitly annotated as annotationOnsets.txt</p> <blockquote> <p><a href="http://mtg.upf.edu/biblio/author/810">Dzhambazov, G.</a>, <a href="http://mtg.upf.edu/biblio/author/644">Srinivasamurthy A.</a>, <a href="http://mtg.upf.edu/biblio/author/494">Şentürk S.</a>, & <a href="http://mtg.upf.edu/biblio/author/1012">Serra X.</a> (2016). <a href="http://mtg.upf.edu/node/3492">On the Use of Note Onsets for Improved Lyrics-to-audio Alignment in Turkish Makam Music</a>. 17th International Society for Music Information Retrieval Conference (ISMIR 2016</p> </blockquote> <p><strong>Using this dataset</strong></p> <p>Please cite the above publications if you use this dataset in a publication.</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> </p> <p><a href="http://compmusic.upf.edu/node/233">http://compmusic.upf.edu/node/233 </a></p>
Dataset for "Learning to Read and Follow Music in Complete Score Sheet Images"
<p>This is the data used in the paper:<br> Florian Henkel , Rainer Kelz, Gerhard Widmer. "Learning to Read and Follow Music in Complete Score Sheet Images". Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), 2020</p> <p>The dataset is based on the <a href="https://zenodo.org/record/2597505#.XxbJtxGxVhE">MSMD - Multimodal Sheet Music Dataset</a> and processed for the purpose of score following in complete score sheet images.</p> <pre>Please find further information and the corresponding code on this Github page: <a href="https://github.com/CPJKU/audio_conditioned_unet">https://github.com/CPJKU/audio_conditioned_unet</a> </pre>
Oral Music of the Maghreb and the Mashriq and the digital encoding of scores / transcriptions
<p>2<sup>nd</sup> Lecture</p>
Results of the paper "Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment"
<p>This repository contains the composition identification and tonic identification results along with the statistical significance values presented in the paper:</p> <p>Şentürk, S., & Serra X. (2016). <strong>Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment.</strong> In Proceedings of 13th Sound and Music Computing Conference (SMC 2016), (pp. XX–XX)., Hamburg, Germany.</p> <p>Please cite the publication above in any work using this dataset.</p> <p>For the details of the results, please refer to the paper. For any further information please contact the authors.</p> <p>This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.</p>
Data from: Multiple scaling behavior and nonlinear traits in music scores
We present a statistical analysis of music scores from different composers using detrended fluctuation analysis. We find different fluctuation profiles that correspond to distinct auto-correlation structures of the musical pieces. Further, we reveal evidence for the presence of nonlinear auto-correlations by estimating the detrended fluctuation analysis of the magnitude series, a result validated by a corresponding study of appropriate surrogate data. The amount and the character of nonlinear correlations vary from one composer to another. Finally, we performed a simple experiment in order to evaluate the pleasantness of the musical surrogate pieces in comparison with the original music and find that nonlinear correlations could play an important role in the aesthetic perception of a musical piece.
Data from: Multiple scaling behavior and nonlinear traits in music scores
Open the record for dataset details and reuse information.
Listening Samples for Paper "Score to Audio: Integrating Systems to Transform Music Scores into Expressive Piano Audio"
<p>Listening Samples for Paper "Score to Audio: Integrating Systems to Transform Music Scores into Expressive Piano Audio".</p> <p>Please check the README.md for more details.</p>
Jingju Music Scores Collection
<p>The <strong>Jingju Music Scores Collection</strong> (<strong>JMSC</strong>) is part of the <a href="http://compmusic.upf.edu/corpora"><strong>Jingju Music Corpus</strong></a> created in the <a href="http://compmusic.upf.edu/"><strong>CompMusic </strong>project</a>. Created with the purpose of the melodic research of jingju singing lines, it contains <strong>108 MusicXML</strong>scores, covering <strong>1084 melodic lines</strong>. In terms of the jingju musical system, it covers the following elements:</p> <ul> <li><strong>role type</strong>: <em>laosheng</em>, <em>dan</em>, <em>laodan</em></li> <li><strong><em>shengqiang</em></strong>: <em>erhuang</em>, <em>xipi</em>, <em>nanbangzi</em>, <em>sipingdiao</em></li> <li><strong><em>banshi</em></strong>: <em>manban</em>, <em>sanyan</em>, <em>zhongsanyan</em>, <em>kuaisanyan</em>, <em>yuanban</em>, <em>erliu</em>, <em>kuai'erliu</em>, <em>liushui</em>, <em>kuaiban</em></li> </ul> <p>The provided README.md file contains details about the content of the <strong>JMSC</strong> in terms of scores, and in terms of lines.</p> <p>The scores are sourced from printed editions and created with <a href="https://musescore.org/">MuseScore 2.1.0</a>, including the lyrics. The original <a href="https://en.wikipedia.org/wiki/Numbered_musical_notation"><em>jianpu</em> notation</a> is transnotated into staff notation. All the scores contain a separated staff for the accompaniment (jinghu) line.</p> <p>Content of the <strong>JMSC</strong></p> <p>The <strong>JMSC</strong> contains the following three folders:</p> <ul> <li>The <code>MusicXML</code> folder contains the MusicXML scores and the <code>scores_data.csv</code> and <code>lines_data.csv</code> files containing metadata and annotations.</li> <li>The <code>MuseScore</code> folder contains the scores created with MusicScore in its original format, from which the MusicXML scores were exported.</li> </ul> <p>Annotations and metadata</p> <p>The <code>MusicXML</code> folder of the <strong>JMSC</strong> contains the following two files with annotations and metadata.</p> <ul> <li>The <code>scores_data.csv</code> file contains metadata and annotations for each score. The included information consists of the following data: title of the aria (in Chinese), role type, <em>shengqiang</em>, <em>banshi</em>, 'yes' or 'no' the original score contained a separated line for the accompaniment, the reference to the printed source, and the MusicBrainz ID of related recordings.</li> <li>The <code>lines_data.csv</code> file contains annotations for each line in the <strong>JMSC</strong>. The included information consists of the following data: role type, <em>shengqiang</em>, <em>banshi</em>, line type, lyrics of the line, starting offset of the line, ending offset of the line, linguistic tones, lyrics of the first line section, starting offset of the first line section, ending offset of the first line section, lyrics of the second line section, starting offset of the second line section, ending offset of the second line section, lyrics of the third line section, starting offset of the third line section, and ending offset of the third line section. Regarding line types, 's' stands for opening line in <em>xipi</em>, 's1' for the long opening line type, and 's2' for the short opening line type in <em>erhuang</em>, and 'x' for closing line.</li> </ul> <p>Using the <strong>JMSC</strong></p> <p>Since the scores are sourced from copyrighted printed editions, they can be only shared for non commercial research purposes (see below). The metadata and annotations files are released under a <a href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)</a> license.</p> <p>Different datasets from the <strong>JMSC</strong> have been used in the following publications:</p> <blockquote> <p>Gong, Rong, Nicolas Obin, Georgi Dzhambazov, and Xavier Serra (2017) "Score-informed syllable segmentation for jingju a cappella singing voice with mel-frequency intensity profiles." In <em>Proceedings of the 7th International Workshop on Folk Music Analysis</em> (FMA 2017), Málaga, Spain, June 14–16, pp. 107–113. <a href="https://doi.org/10.5281/zenodo.556820">https://doi.org/10.5281/zenodo.556820</a></p> </blockquote> <blockquote> <p>Gong, Rong, Jordi Pons and Xavier Serra (2017) "Audio to Score Matching by Combining Phonetic and Duration Information." In <em>Proceedings of the 18th International Society for Music Information Retrieval Conference</em> (ISMIR 2017), Suzhou, China, October 23–27, 428–434. <a href="https://arxiv.org/abs/1707.03547">https://arxiv.org/abs/1707.03547</a></p> </blockquote> <blockquote> <p>Gong, Rong, and Xavier Serra (2018) "Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions." In <em>Interspeech 2018</em>, Hyderabad, India, September 2–6, 716–720. <a href="https://arxiv.org/abs/1806.01665">https://arxiv.org/abs/1806.01665</a></p> </blockquote> <blockquote> <p>Caro Repetto, Rafael (2018) <em>The musical dimension of Chinese traditional theatre: An analysis from computer aided musicology</em>. PhD thesis, Universitat Pompeu Fabra, Barcelona, Spain. <a href="http://hdl.handle.net/10803/665357">http://hdl.handle.net/10803/665357</a></p> </blockquote> <p>Contact</p> <p>For any questions or comments about the <strong>JMSC</strong>, please contact<br> Rafael Caro Repetto<br> (rafael.caro@upf.edu)</p> <p>Acknowledgements</p> <p>The creation of the <strong>JMSC</strong> is funded by the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013), as part of the CompMusic project (ERC grant agreement 267583).</p>
(Tiny) Music Score Generation Dataset
<p>This dataset is a much smaller version of the Music Score Generation Dataset from the thesis on automatic score-to-score music generation</p>
Music Score Generation Dataset
<p>This dataset was created for automatic score-to-score generation for piano.</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.