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4,107 results for “pointing”
CiROCCO Video - Sensor Installation Points in Dali Municipality
<p>This is a video about the Sensor Installation Points in Dali Municipality, as part of the Cypriot pilot on Desert Dust Storm event forecasting. The video was first published on the social media pages of UCY, and the reposted on CiROCCO's YouTube page in July 2024. Link here https://www.youtube.com/watch?v=6XEgXDYGd50 </p>
ClimEmpower: Graphic summaries of CoPs' key points
<p>Comprehensive visual representations of key findings from initial CoP meetings across ClimEmpower's regions. It includes the main insights and conclusions structured around eight categories: "hazard identification", "ttols and services", "expectations", "needs and solutions", "gaps and barriers", "previous experiences", "contributins" and "other comments".</p>
Data and scripts for: "Exceptional point and hysteresis in perturbations of Kerr black holes" and "Massive scalar perturbations in Kerr Black Holes: near extremal analysis"
<p>Datasets associated with the article <strong>Exceptional point and hysteresis in perturbations of Kerr black holes </strong>- arXiv:2407.20850 [gr-qc] and <strong>Massive scalar perturbations in Kerr Black Holes: near extremal analysis</strong> - 2408.13964 [gr-qc]. The file Isomonodromy.zip contains three subfolders and the file CFM.zip contains two subfolders. Each subfolder includes a readme file that provides a description of the folder contents. A brief description of each subfolder is given below:</p> <p><strong>1) Isomonodromy.zip</strong></p> <p>1.1) Folder "Data" contains data obtained through the isomonodromic method. Data consists of radial eigenvalues (quasinormal frequencies) and angular eigenvalues as a function of the mass of the scalar field and the spin of the Kerr black hole. </p> <p>1.2) Folder "Notebook - Mathematica" contains a Mathematica notebook to compute the angular eigenvalue expansion and the asymptotic expression for the frequency in the extremal limit. </p> <p>1.3) Folder "Script - Julia" constains a script that implements the isomonodromic method to compute quasinormal modes of massive scalar perturbations in Kerr black holes.</p> <p>Note: This script has been tested with Julia 1.10.7 LTS and ArbNumerics 1.5.3. It is currently NOT compatible with Julia 1.11.X, likely due to changes in memory allocation breaking compatibility with libArb.</p> <p><strong>2) CFM.zip</strong></p> <p>1.1) Folder "Data" contains data obtained through the continued fraction method. Data consists of radial eigenvalues (quasinormal frequencies) and angular eigenvalues as a function of the mass of the scalar field and the spin of the Kerr black hole. </p> <p>1.2) Folder "Notebook - Mathematica" implements the continued fraction method to compute quasinormal modes of massive scalar perturbations in Kerr black holes.</p>
Conserved Forest on Sandy Coastal Plain, Saquarema,/RJ Brazil - Datasets (Point-Centered Quadrant Method)
<p>The Ipitangas Restinga is one of the last remnants of non-flooded restinga forest on the coast of Rio de Janeiro state, from<br> Marambaia to Cabo Frio. Forest structure was studied using the point-centered quadrant method (200 points/800 individuals) and minimum diameter of 5cm at breast height and at soil level. A total of 108 species were recorded in 34 families. More informations: see Sá,C.F.C & Araujo,D.S.D. 2009.Estrutura e florística de uma floresta de restinga em Ipitangas, Saquarema, Rio de Janeiro, Brasil. Rodriguésia 60(1):147-170. https://doi.org/10.1590/2175-7860200960108 Here we available all raw of data collected beteween 1990/1993. The families and species are accordind "Flora e Funga do Brasil".</p>
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>
Feldman_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Morton Feldman, Why Patterns? for flute, glockenspiel and piano (1978)
<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> Feldman_dataset_PoD </strong>contains eight files:</p> <ul> <li>Feldman_01_ReadMe.pdf</li> <li>Feldman_02_data.xlsx (processed data for this work)</li> <li>Feldman_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Feldman_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>Feldman_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Feldman_04_audio.mp3 to display correctly]</li> <li>Feldman_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Feldman_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Feldman_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Spahlinger_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Mathias Spahlinger, furioso für Ensemble (1991–92), 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> Spahlinger_dataset_PoD </strong>contains eight files:</p> <ul> <li>Spahlinger_01_ReadMe.pdf</li> <li>Spahlinger_02_data.xlsx (processed data for this excerpt)</li> <li>Spahlinger_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Spahlinger_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>Spahlinger_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Spahlinger_04_audio.mp3 to display correctly]</li> <li>Spahlinger_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Spahlinger_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Spahlinger_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.