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352 results for “research projects”
Standardizing ID-Labels for seaweed samples used for chemical composition analyses and refinery processes in Nordic and European research projects
<p><strong>Introduction</strong></p> <p>Seaweed samples can be divided into two groups:</p> <ol> <li>Small samples (½-3 kg wet weight (ww)) often used for chemical content analyses including seasonal variation and testing different cultivation conditions or preliminary lab scale experiments on storage, extraction, separation, fermentation, etc.</li> <li>Larger samples (>3 kg ww) for lab- or pilot scale experiments on storage, extraction, separation, fermentation, etc.</li> </ol> <p>Seaweed samples will always have the following information-tracks:</p> <ol> <li><strong>Sample Code: </strong>A ID containing the most important information and the sample code will follow the sampled biomass from harvest to final research results.</li> <li><strong>Seaweed Processing Code:</strong> The sample code will be extended with 8 digits and 1 letter if processing of biomass occurs.</li> <li><strong>Batch Number:</strong> A code describing details about the harvest and origin of the seaweed.</li> <li><strong>Sample Overview:</strong> An Excel file describing all details about the sample: first <strong>sample code</strong>, then species, grinding, freezing/drying specifications, seeding and harvesting information, planed aim of the sample (e.g. polysaccharides), place stored, seaweed processing details, analyse results, etc. Maintained by the sample provider.</li> </ol>
Dataset for IDRC Project: Exploring the opportunities and challenges of implementing open research strategies within development institutions. International Development Research Center.
<p>Data Package: Exploring the opportunities and challenges of implementing open research strategies within development institutions</p> <p>DOI for this package: https://doi.org/10.5281/zenodo.844394<br> Project Description: https://doi.org/10.3897/rio.2.e8880<br> Data Management Plan: https://doi.org/10.3897/rio.3.e14672<br> Other Related Documents and Reports: https://riojournal.com/collection/18/<br> Funder: International Development Research Centre/Centre de rechereches pour le développement international, https://doi.org/10.13039/501100000193</p> <p><br> Abstract<br> ========</p> <p>This is the Data Package for the project "Exploring the opportunities and challenges of implementing open research strategies within development institutions" the proposal for which was published as https://doi.org/10.3897/rio.2.e8880. The research project conducted open data pilot case studies with seven IDRC grantees to develop and implement open data management and sharing plans. The results of the case studies served to refine guidelines for the implementation of development research funders’ open research data policies.</p> <p>Contents<br> ========</p> <p>The Data Package contains all the public data generated by the project. The package was curated and metadata generated, including an HTML Catalog using the Calcyte Tool (https://codeine.research.uts.edu.au/eresearch/calcyte) developed at University of Technology Sydney.</p> <p>The project had two major phases:</p> <p>1. A review, based on desk work and interviews with data management experts<br> 2. Case studies, based on implementing open data practices within seven IDRC funded research projects</p> <p>Review<br> ------</p> <p>The review, published at https://riojournal.com/article/14673/ was supported by desk work and interviews. The materials related to the interviews can be found in the directory:</p> <p>* Policy and Implementation Review Interviews</p> <p>Case Studies<br> ------------</p> <p>Seven IDRC-funded projects were contributed to the pilot project.</p> <p>The materials generated by the case studies and used to support the final report (to be published with the collection at https://riojournal.com/collection/18/) are found in the following directories.</p> <p>* Introductory_Data_Workshop_Materials<br> * Introductory_Workshop_Presentations<br> * Data Management Planning<br> * SciDataCon Presentations<br> * Final_Project_Workshop_Materials<br> * Final_Project_Workshop_Presentations</p> <p>The files are encoded with a three letter code that identifies the relevant contributing project in each case. The contributing projects were:</p> <p>* Crowd Sourcing Data to fight Social Crimes: Harassmap, Egypt (HMP)<br> * The Brazilian Virtual Herbarium: CRIA, Brazil(BVH)<br> * Strengthening the Economic Committee of the National Assembly in Vietnam: Centre for Analysis and Forecasting, Vietnam (ECV)<br> * The Impact of Copyright User Rights: Derechos Digitales, Columbia (DED)<br> * Establishing a clearinghouse for tobacco economic data in Africa: DataFirst, South Africa (TED)<br> * Les problèmes négligés des systèmes de santé en Afrique : une incitation aux réformes: LASDEL, Niger (NDF)<br> * Indigenous Knowledge in Climate Change: Natural Justice, South Africa (IKC)</p> <p>More details will be found in the Case Studies and in the Final Report (forthcoming at https://riojournal.com/collection/18/)</p> <p>References<br> ==========</p> <p>* Neylon C, Chan L (2016) Exploring the opportunities and challenges of implementing open research strategies within development institutions. Research Ideas and Outcomes 2: e8880. https://doi.org/10.3897/rio.2.e8880<br> * Neylon C (2017) Data Management Plan: IDRC Data Sharing Pilot Project. Research Ideas and Outcomes 3: e14672. https://doi.org/10.3897/rio.3.e14672<br> * Neylon C, Chan L (2016-17) Exploring the opportunities and challenges of implementing open research strategies within development institutions: A project of the International Development Research Center, Research Ideas and Outcomes Collection, https://riojournal.com/collection/18/</p> <p> </p>
Images from field research in Cambodia - May 2022 for the TEX-KR project
<p>These pictures were taken by Magali An Berthon for the EU-funded MSCA TEX-KR project as part of a period of fieldwork in Phnom Penh, Cambodia in May 2022. Following copyright restrictions for this institution, this repository only shows a selection of images from the National Museum of Cambodia, the building, the inside galleries, a viewing of the textiles in the collection with textile conservator Kong Kuntheary, and images of an interview with retired librarian Lim Yi with translator Moeung Seyha. The repository also showcases general views of Phnom Penh and two pictures of Tuol Sleng Genocide Museum. </p> <p>All these images must be credited © Magali An Berthon for TEX-KR. </p>
Models and datasets for the research project Elektrizitätsnetzgekoppelte Fernwärmeversorgung 2020 (ENKF 2020)
<p>Models and datasets for the research project Elektrizitätsnetzgekoppelte Fernwärmeversorgung 2020 (ENKF 2020). The project was carried out from 2016-2018 at the University of Applied Sciences Flensburg in Germany and co-funded by the Gesellschaft für Energie und Klimaschutz Schleswig-Holstein (EKSH) and Stadtwerke Flensburg GmbH.</p>
Community Maturation Matrix (Illustration): Professionalising Community Management Roles in Interdisciplinary Research Projects
<p>Figure 1 (.jpg) file, editable version (.pptx) and supplementary 1 (.xlsx) for the research article: Professionalising Community Management Roles in Interdisciplinary Research Projects (July, 2024)</p> <p>Figure 1: Community Maturation Indicator: This is a framework through which maturation status for a community can be indicated at any given time as “Level of Community Participation” and “Stage of Community Building”. The Levels of Community Participation is shown in the x-axis (spanning 6 levels): Level 1: Inform Community, Level 2: Invite Feedback, Level 3: Engage and Involve, Level 4: Mobilise and Connect, Level 5: Empower Groups, and Level 6: Decentralise Power. The Stages of Community Building are shown as y-axis (spanning 6 stages): Stage 1: Initiation, Stage 2: Planning and Design, Stage 3: Implementation, Stage 4: Growth and Scaling, Stage 5: Monitoring and Evaluation, and Stage 6: Sustainability or Sunsetting. </p> <p>Supplementary 1: An example of how a community may progress its maturation levels. After the level has been identified, a CoP can start applying targeted approaches to community building, which occurs in stages. For example, at the community initiation stage of a new CoP, an RCM shares information and communicates project goals (Stage 1); at the planning and design stage, they build stakeholder awareness plans and help to prioritise specific objectives (Stage 2); at the implementation stage, they provide collaborative opportunities for specific stakeholders (Stage 3); at the growth stage, they facilitate knowledge exchange and skill building (Stage 4); and at the evaluation stage, it assesses the success of the CoP through feedback data to inform plans (Stage 5). These stages collectively affect how the project and its community can be sustained in the future or whether it should be paused (sunsetting) (Stage 6). RCMs build effective community strategies and implement creative approaches to support the development of a CoP, advancing a community from one stage to the next (Supplementary 1, Column 1 of the Community Maturation Indicators).</p> <p> </p>
Augmented Spaces and Maps, research project 2015–2019
<div> <p>"Augmented Space” (2015-2019) is a research project initiated by Dr. Christine Schranz which brings together both theoretical and and practical parts as a basic introduction to the field of digital cartographies. Complementary to the book publication “Augmented Spaces and Maps. Das Design von kartenbasierten Interfaces”, the AR application offers a historical perspective on the Campus of the Arts (formerly the site of the Basel bonded warehouse) and combines this view with a contemporary critique of the practice of art-related bonded warehouses. The project was carried at the FHNW Academy of Arts and Design in Basel, with the support from the Swiss National Science Foundation (SNSF).</p> <p>Principal Investigator, Book Editor: Dr. Christine Schranz</p> <p>Video Production: Maria Smigielska</p> </div>
Furrer_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Beat Furrer, spur für Klavier und Streichquartett (1998)
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files.</p> <p>This dataset<strong> Furrer_dataset_PoD </strong>contains eight files:</p> <ul> <li>Furrer_01_ReadMe.pdf</li> <li>Furrer_02_data.xlsx (processed data for this work)</li> <li>Furrer_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Furrer_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Furrer_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Furrer_04_audio.mp3 to display correctly]</li> <li>Furrer_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Furrer_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Furrer_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Sciarrino_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Salvatore Sciarrino, Sei capricci per violino (1976), no. 1: Vivace
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files.</p> <p>This dataset<strong> Sciarrino_dataset_PoD </strong>contains eight files:</p> <ul> <li>Sciarrino_01_ReadMe.pdf</li> <li>Sciarrino_02_data.xlsx (processed data for this excerpt)</li> <li>Sciarrino_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Sciarrino_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Sciarrino_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Sciarrino_04_audio.mp3 to display correctly]</li> <li>Sciarrino_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Sciarrino_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Sciarrino_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Barrett_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Natasha Barrett, Animalcules (2010, electronic work)
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files</p> <p>This dataset<strong> Barrett_dataset_PoD </strong>contains seven files:</p> <ul> <li>Barrett_01_ReadMe.pdf</li> <li>Barrett_02_data.xlsx (processed data for this excerpt)</li> <li>Barrett_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Barrett_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Barrett_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Barrett_04_audio.mp3 to display correctly]</li> <li>Barrett_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Barrett_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> </ul>
Xenakis_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Iannis Xenakis, Pithoprakta for two trombones, percussion, and strings (1955–56)
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files.</p> <p>This dataset<strong> Xenakis_dataset_PoD </strong>contains eight files:</p> <ul> <li>Xenakis_01_ReadMe.pdf</li> <li>Xenakis_02_data.xlsx (processed data for this work)</li> <li>Xenakis_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Xenakis_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Xenakis_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Xenakis_04_audio.mp3 to display correctly]</li> <li>Xenakis_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Xenakis_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Xenakis_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Harrison_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Jonty Harrison, Klang (1982, electronic work), excerpt
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files</p> <p>This dataset<strong> Harrison_dataset_PoD </strong>contains seven files:</p> <ul> <li>Harrison_01_ReadMe.pdf</li> <li>Harrison_02_data.xlsx (processed data for this excerpt)</li> <li>Harrison_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Harrison_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Harrison_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Harrison_04_audio.mp3 to display correctly]</li> <li>Harrison_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Harrison_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> </ul>
Chen_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Chen Yi, Ge Xu (Antiphony) for chamber orchestra (1994)
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files.</p> <p>This dataset<strong> Chen_dataset_PoD </strong>contains eight files:</p> <ul> <li>Chen_01_ReadMe.pdf</li> <li>Chen_02_data.xlsx (processed data for this work)</li> <li>Chen_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Chen_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Chen_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Chen_04_audio.mp3 to display correctly]</li> <li>Chen_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Chen_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Chen_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Saariaho_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Kaija Saariaho, Lichtbogen for nine musicians and live-electronics (1985–86)
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files.</p> <p>This dataset<strong> Saariaho_dataset_PoD </strong>contains eight files:</p> <ul> <li>Saariaho_01_ReadMe.pdf</li> <li>Saariaho_02_data.xlsx (processed data for this work)</li> <li>Saariaho_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Saariaho_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Saariaho_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Saariaho_04_audio.mp3 to display correctly]</li> <li>Saariaho_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Saariaho_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Saariaho_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Roads_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Curtis Roads, Half-life (1999, electronic work)
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files</p> <p>This dataset<strong> Roads_dataset_PoD </strong>contains seven files:</p> <ul> <li>Roads_01_ReadMe.pdf</li> <li>Roads_02_data.xlsx (processed data for this excerpt)</li> <li>Roads_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Roads_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Roads_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Roads_04_audio.mp3 to display correctly]</li> <li>Roads_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Roads_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> </ul>
PoD_general_dataset: Dataset containing results from the research project Points of Discontinuity
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as this dataset containing five additional files:</p> <ul> <li>PoD_data_processing.pdf (explanation of the data evaluation process)</li> <li>PoD_global_data.xlsx (processed data for all 23 works/excerpts)</li> <li>PoD_global_data_ReadMe.pdf</li> <li>PoD_web_application.pdf (documentation of the online experiment)</li> <li>PoD_web_application_video.mp4 (introduction video to the online experiment)</li> </ul> <p>The individual datasets for the 23 works/excerpts can be accessed via the following links: </p> <ul> <li>Barrett, Natasha: Animalcules [excerpt]: <a href="https://doi.org/10.5281/zenodo.13981311" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981311</a></li> <li>Berg, Alban: Vier Stücke für Klarinette und Klavier, Nr. 1: <a href="https://doi.org/10.5281/zenodo.13981574" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981574</a> </li> <li>Boulez, Pierre: Le Marteau sans Maître, no. 7: <a href="https://doi.org/10.5281/zenodo.13982307" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13982307</a> </li> <li>Chen Yi: Ge Xu (Antiphony): <a href="https://doi.org/10.5281/zenodo.13982412" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13982412</a></li> <li>Feldman, Morton: Why Patterns?: <a href="https://doi.org/10.5281/zenodo.13982361" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13982361</a></li> <li>Ferneyhough, Brian: Time and Motion Study I: <a href="https://doi.org/10.5281/zenodo.13985098" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985098</a></li> <li>Furrer, Beat: spur: <a href="https://doi.org/10.5281/zenodo.13985111" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985111</a></li> <li>Harrison, Jonty: Klang [excerpt]: <a href="https://doi.org/10.5281/zenodo.13985494" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985494</a></li> <li>Huber, Nicolaus A.: 6 Bagatellen für Kammerensemble, no. 6: <a href="https://doi.org/10.5281/zenodo.13985123" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985123</a></li> <li>Kurtág, György : Quartetto per archi op. 1, no. 4: <a href="https://doi.org/10.5281/zenodo.13985139" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985139</a></li> <li>Lachenmann, Helmut: Pression: <a href="https://doi.org/10.5281/zenodo.13985143" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985143</a></li> <li>Lim, Liza: The Heart’s Ear [excerpt]: <a href="https://doi.org/10.5281/zenodo.13985156" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985156</a></li> <li>Roads, Curtis: Half-life: <a href="https://doi.org/10.5281/zenodo.13987914" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13987914</a></li> <li>Saariaho, Kaija: Lichtbogen: <a href="https://doi.org/10.5281/zenodo.13985390" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985390</a></li> <li>Schönberg, Arnold: Fünf Orchesterstücke op. 16, Nr. 1: <a href="https://doi.org/10.5281/zenodo.13985419" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985419</a></li> <li>Scelsi, Giacinto: Quartetto no. 4: <a href="https://doi.org/10.5281/zenodo.13985403" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985403</a></li> <li>Sciarrino, Salvatore: Sei capricci per violino, no. 1: <a href="https://doi.org/10.5281/zenodo.13985428" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985428</a></li> <li>Spahlinger, Mathias: furioso [excerpt]: <a href="https://doi.org/10.5281/zenodo.13985439" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985439</a></li> <li>Stockhausen, Karlheinz: Gruppen [excerpt]: <a href="https://doi.org/10.5281/zenodo.13985448" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985448</a> </li> <li>Stravinsky, Igor: Trois pièces pour quatuor à cordes, no. 2: <a href="https://doi.org/10.5281/zenodo.13985460" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985460</a></li> <li>Vande Gorne, Annette: Bois [excerpt]: <a href="https://doi.org/10.5281/zenodo.13985492" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985492</a></li> <li>Varèse, Edgard: Ionisation [excerpt]: <a href="https://doi.org/10.5281/zenodo.13985468" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985468</a></li> <li>Xenakis, Iannis: Pithoprakta: <a href="https://doi.org/10.5281/zenodo.13985480" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13985480</a></li> </ul>
Vande_Gorne_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Annette Vande Gorne, Bois (1986, electronic work), excerpt
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files</p> <p>This dataset<strong> Vande_Gorne_dataset_PoD </strong>contains seven files:</p> <ul> <li>Vande_Gorne_01_ReadMe.pdf</li> <li>Vande_Gorne_02_data.xlsx (processed data for this excerpt)</li> <li>Vande_Gorne_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Vande_Gorne_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Vande_Gorne_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Vande_Gorne_04_audio.mp3 to display correctly]</li> <li>Vande_Gorne_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Vande_Gorne_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> </ul>
Varèse_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Edgard Varèse, Ionisation for percussion ensemble of 13 players (1931), excerpt
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files.</p> <p>This dataset<strong> Varese_dataset_PoD </strong>contains eight files:</p> <ul> <li>Varese_01_ReadMe.pdf</li> <li>Varese_02_data.xlsx (processed data for this excerpt)</li> <li>Varese_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Varese_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Varese_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Varese_04_audio.mp3 to display correctly]</li> <li>Varese_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Varese_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Varese_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Kurtág_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning György Kurtág, Quartetto per archi op. 1 (1959), no. 4: Con Spirito
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files.</p> <p>This dataset<strong> Kurtág_dataset_PoD </strong>contains eight files:</p> <ul> <li>Kurtág_01_ReadMe.pdf</li> <li>Kurtág_02_data.xlsx (processed data for this work)</li> <li>Kurtág_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Kurtág_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Kurtág_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Kurtág_04_audio.mp3 to display correctly]</li> <li>Kurtág_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Kurtág_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Kurtág_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Stravinsky_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Igor Stravinsky, Trois pièces pour quatuor à cordes (1914), no. 2
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files.</p> <p>This dataset<strong> Stravinsky_dataset_PoD </strong>contains eight files:</p> <ul> <li>Stravinsky_01_ReadMe.pdf</li> <li>Stravinsky_02_data.xlsx (processed data for this work)</li> <li>Stravinsky_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Stravinsky_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Stravinsky_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Stravinsky_04_audio.mp3 to display correctly]</li> <li>Stravinsky_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Stravinsky_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Stravinsky_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Schönberg_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Arnold Schönberg, Fünf Orchesterstücke op. 16 (1909), Nr. 1: Vorgefühle
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files.</p> <p>This dataset<strong> Schönberg_dataset_PoD </strong>contains eight files:</p> <ul> <li>Schönberg_01_ReadMe.pdf</li> <li>Schönberg_02_data.xlsx (processed data for this work)</li> <li>Schönberg_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Schönberg_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Schönberg_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Schönberg_04_audio.mp3 to display correctly]</li> <li>Schönberg_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Schönberg_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Schönberg_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
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.