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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>
Berg_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Alban Berg, Vier Stücke für Klarinette und Klavier, op. 5 (1913), no. 1: Mäßig
<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> Berg_dataset_PoD </strong>contains eight files:</p> <ul> <li>Berg_01_ReadMe.pdf</li> <li>Berg_02_data.xlsx (processed data for this work)</li> <li>Berg_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Berg_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>Berg_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Berg_04_audio.mp3 to display correctly]</li> <li>Berg_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Berg_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Berg_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Scelsi_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Giacinto Scelsi, Quartetto no. 4 (1964)
<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> Scelsi_dataset_PoD </strong>contains eight files:</p> <ul> <li>Scelsi_01_ReadMe.pdf</li> <li>Scelsi_02_data.xlsx (processed data for this work)</li> <li>Scelsi_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Scelsi_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>Scelsi_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Scelsi_04_audio.mp3 to display correctly]</li> <li>Scelsi_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Scelsi_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Scelsi_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Lim_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Liza Lim, The Heart's Ear for flute/piccolo, clarinet and string quartet (1997), 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> Lim_dataset_PoD </strong>contains eight files:</p> <ul> <li>Lim_01_ReadMe.pdf</li> <li>Lim_02_data.xlsx (processed data for this excerpt)</li> <li>Lim_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Lim_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>Lim_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Lim_04_audio.mp3 to display correctly]</li> <li>Lim_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Lim_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Lim_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Lachenmann_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Helmut Lachenmann, Pression für einen Cellisten (1969–70)
<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> Lachenmann_dataset_PoD </strong>contains eight files:</p> <ul> <li>Lachenmann_01_ReadMe.pdf</li> <li>Lachenmann_02_data.xlsx (processed data for this work)</li> <li>Lachenmann_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Lachenmann_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>Lachenmann_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Lachenmann_04_audio.mp3 to display correctly]</li> <li>Lachenmann_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Lachenmann_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Lachenmann_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Ferneyhough_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Brian Ferneyhough, Time and Motion Study I for bass clarinet (1971–77)
<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> Ferneyhough_dataset_PoD </strong>contains eight files:</p> <ul> <li>Ferneyhough_01_ReadMe.pdf</li> <li>Ferneyhough_02_data.xlsx (processed data for this work)</li> <li>Ferneyhough_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Ferneyhough_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>Ferneyhough_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Ferneyhough_04_audio.mp3 to display correctly]</li> <li>Ferneyhough_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Ferneyhough_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Ferneyhough_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
Towards safe human-to-robot handovers of unknown containers: pre-trained models and 3D hand keypoints annotations
<p>This repository contains additional data to be used with the implementation of the real-to-simulation framework of the paper <em>Towards safe human-to-robot handovers of unknown containers</em>. The data include pre-trained models and annotations of the 3D hand poses for selected recordings from the public training and testing sets of <a href="http://corsmal.eecs.qmul.ac.uk/containers_manip.html">CORSMAL Container Manipulation (CCM) dataset</a>. The pre-trained models are used for classifying the filling type and filling level of a container. 3D hand poses are annotated as 21 keypoints based on the <a href="https://github.com/CMU-Perceptual-Computing-Lab/openpose">OpenPose</a> format.</p>
Do 5' regions of human protein-coding genes contain the blueprints for alternative splicing?
<p>Datasets generated during the comparative analysis of multiple transcript isoform genes (MISOG) and single transcript isoform genes (SISOG). All data were based on the raw RefSeq GFF file (version <a href="https://ftp.ncbi.nlm.nih.gov/refseq/H_sapiens/annotation/annotation_releases/109.20210514/GCF_000001405.39_GRCh38.p13/GCF_000001405.39_GRCh38.p13_genomic.gff.gz">GCF_000001405.39</a>).Tables containing the Type CDS corresponds to TER (Translated Exonic Regions) in the manuscript.</p> <p>Code can be found here : <a href="https://github.com/weber8thomas/MISOG_SISOG">[Github]</a></p>
Data file containing MD simulation data
<p>Data file containing MD simulation data in Schrodinger maestro readable format and MMGBSA data in microsoft excel file</p> <p> </p> <p> </p>
Data for: Sigma-B responses of Bacillus subtilis exposed to different environmental stressors and containing different single RsbR proteins or hybrid fusions of RsbRs
<p>Bacteria use a variety of systems to sense stress and mount an appropriate response to assure fitness and survival. <em>Bacillus subtilis</em> uses stressosomes—cytoplasmic multiprotein complexes—to sense environmental stressors and enact the general stress response by activating the alternative sigma factor σ<sup>B</sup>. Each stressosome includes 40 RsbR proteins, representing four paralogous (RsbRA, RsbRB, RsbRC, and RsbRD) putative stress sensors. Population-level analyses suggested that the RsbR paralogs are largely redundant, while our prior work using microfluidics-coupled fluorescence microscopy uncovered differences among the RsbR paralogs' σ<sup>B</sup> response profiles with respect to timing and intensity when facing an identical stressor.</p> <p>We used microfluidics and fluorescence microscopy to address the question of whether the σ<sup>B</sup> responses mediated by each paralog differ in the presence of different environmental stressors: can they distinguish among stressors? Wild-type cells (with all four paralogs) and RsbRA-only cells activate σ<sup>B</sup> with characteristic transient response timing irrespective of stressor but show varying response magnitude. However, cells with other individual RsbR paralogs show distinct timing and magnitude in their responses to ethanol, salt, oxidative and acid stress, implying that RsbR proteins can distinguish among stressors. To show this distinct timing, we quantified time-lapse image series of cells with a fluorescent σ<sup>B</sup> transcriptional reporter. Representative videos of time-lapse image series and the results of our quantitation for each RsbR paralog in each stress condition are included in this dataset.</p> <p>We also probed the relative importance of each half of each RsbR paralog. Experiments with hybrid fusion proteins comprising the N-terminal half of one paralog and the C-terminal half of another argued that the N-terminal identity influences response magnitude and that determinants in both halves of RsbRA are important for its stereotypical transient σ<sup>B</sup> response timing. Time-lapse videos for each hybrid fusion protein and the corresponding quantification of these data are also included in the dataset.</p>
3D bioprinted alginate-gelatin hydrogel patches containing cardiac spheroids recover heart function in a mouse model of myocardial infarction
<p>Datasets for Roche et al (2023), '3D bioprinted alginate-gelatin hydrogel patches containing cardiac spheroids recover heart function in a mouse model of myocardial infarction'.</p>
Cuisine in transition? Organic residue analysis of domestic containers from 9th-14th century Sicily
From the 9th to 14th centuries AD, Sicily experienced a series of rapid and quite radical changes in political regime, but the impact of these regime changes on the lives of the people that experienced them remains largely elusive within the historical narrative. We use a multi-faceted lipid residue approach to give direct chemical evidence of the use of 248 everyday domestic ceramic containers from Islamic and post-Islamic contexts in western Sicily to aid our understanding of daily habits throughout this period of political change. A range of commodities was successfully identified, including animal fats, vegetable products, fruit products, (potentially including wine), and plant resins. The study highlights the complexity of residues in Early Medieval Mediterranean society, as in many cases mixtures of commodities were observed, reflecting sequential cooking events and/or the complex mixtures reflective of medieval recipes. However, overall there were no clear changes in the composition of the residues following the imposition of Norman control over the island and through subsequent periods, despite some differences between urban centres and rural sites. Thus, lending to the idea that post-Islamic populations largely flourished and benefited from the agricultural systems, resources, and recipes left by their predecessors.
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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.