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6,782 results for “project”
Meteorological Data from Chios: March 2024 Baseline Measurements for the MUSICA Project
<p>The present meteorological data is collected from the weather station in <strong>Chiostown</strong>, located in Chios, and is published on the <strong>Zenodo</strong> platform for open access. The station is positioned at an elevation of 32 meters and the data includes measurements of temperature, rainfall, wind speed, and wind direction, covering the period from March 1st to March 31st, 2024.</p> <h3>Purpose</h3> <p>These measurements are conducted as part of the <strong>MUSICA</strong> project, which aims to monitor climate changes in the Chiostown area and the broader region of Chios. The data presented here for March 2024 provides insight into the weather conditions leading up to the installation of the project's platform. Continuous monitoring efforts will track changes in weather and climate conditions as the project progresses.</p> <h3>Content</h3> <p>The files include:</p> <ul> <li><strong>Date and time of recording</strong>: For accurate time tracking of the data.</li> <li><strong>Temperature</strong>: Daily average, maximum, and minimum temperatures in degrees Celsius (°C).</li> <li><strong>Rainfall</strong>: Daily rainfall in millimeters (mm).</li> <li><strong>Wind speed</strong>: Average and maximum daily wind speed in kilometers per hour (km/h).</li> <li><strong>Wind direction</strong>: The prevailing wind direction of the day.</li> </ul> <h3>Data Highlights for March 2024</h3> <ul> <li><strong>Highest temperature</strong>: 25.3°C, recorded on March 31st, 2024, at 15:50.</li> <li><strong>Lowest temperature</strong>: 7.1°C, recorded on March 24th, 2024, at 03:20.</li> <li><strong>Highest daily rainfall</strong>: 25.4 mm, recorded on March 5th, 2024.</li> <li><strong>Highest wind speed</strong>: 66.0 km/h, recorded on March 12th, 2024, at 10:50.</li> </ul> <h3>Data Usage</h3> <p>The data is free to use. Users are welcome to download, analyze, and utilize the data for personal, educational, or research purposes, as well as for developing applications and tools that contribute to understanding and addressing weather and climate phenomena.</p>
Vs30 and f0 values from the Project: Study of Historical Seismicity in Azuay and Seismic Microzonation of the Soils in Cuenca, Ecuador
<p>This study presents 100 Vs30 values and 530 f0 values derived from the project: Study of Historical Seismicity in Azuay and Seismic Microzonation of the Soils in Cuenca, Ecuador. The article, titled 'Seismic Microzonation of Cuenca: Soil Classification Based on Fundamental Frequency and Shear Wave Velocity,' explores the implications of these measurements for understanding local soil behavior under seismic conditions.</p>
Dataset of histopathological image crops from GTEx project
<p>This is a dataset of histological slides from the GTEx project that has been balanced for 3 major factors (organ, sex, and age bracket) that may be useful to train models in supervised or self-supervised modes.</p> <p>Four datasets are avaialble:</p> <ul> <li><code>gtex_histology_balanced_3_slides_200_tiles.tar.gz</code>: Conditioned on the 3 factors, 3 slides were selected per group, and 200 tiles in tissue segmented areas selected randomly per slide.</li> <li><code>gtex_histology_balanced_3_slides_2000_tiles.tar.gz</code>: Conditioned on the 3 factors, 3 slides were selected per group, and 2000 tiles in tissue segmented areas selected randomly per slide.</li> <li><code>gtex_histology_balanced_10_slides_100_tiles.tar.gz</code>: Conditioned on the 3 factors, 10 slides were selected per group (when possible), and 100 tiles in tissue segmented areas selected randomly per slide. This dataset matches closely the "gtex_histology_balanced_3_slides_200_tiles.tar.gz" dataset in total number of tiles.</li> <li><code>gtex_histology_balanced_10_slides_800_tiles.tar.gz</code>: Conditioned on the 3 factors, 10 slides were selected per group (when possible), and 800 tiles in tissue segmented areas selected randomly per slide. This dataset matches closely the "gtex_histology_balanced_3_slides_200_tiles.tar.gz" dataset in total number of tiles.</li> </ul> <p>Each archive file contains the following:</p> <ul> <li><code>slide_annotation.csv</code>: a slide-level annotation of the slides (see below)</li> <li><code>train</code>: a directory with image tiles to be used to train a model</li> <li><code>valid</code>: a directory with image tiles to be used to validate a model</li> </ul> <p>The slide_annotation file contains publicly available information on the slides in addition to 3 columns:</p> <ul> <li>"Tissue_simple": the organ of the slide</li> <li>"split": whether the slide was assign the 'train' or 'valid' split for training. The validation split slides have 1/10th of the tiles from training.</li> <li>"n_tiles": the number of image tiles in the dataset for each slide</li> </ul> <p>Example:</p> <table> <tbody> <tr> <td>Tissue Sample ID</td> <td>Tissue</td> <td>Subject ID</td> <td>Sex</td> <td>Age Bracket</td> <td>Hardy Scale</td> <td>Pathology Categories</td> <td>Pathology Notes</td> <td>Tissue_simple</td> <td>split</td> <td>n_tiles</td> </tr> <tr> <td>GTEX-1128S-1426</td> <td>Esophagus - Mucosa</td> <td>GTEX-1128S</td> <td>female</td> <td>60-69</td> <td>Fast death - natural causes</td> <td> </td> <td>6 pieces, near- total autolysis/mucosa completely sloughed</td> <td>Esophagus</td> <td>train</td> <td>200</td> </tr> <tr> <td>GTEX-113JC-1226</td> <td>Stomach</td> <td>GTEX-113JC</td> <td>female</td> <td>50-59</td> <td>Fast death - natural causes</td> <td> </td> <td>6 pieces, well dissected mucosa; some areas are severely autolyzed</td> <td>Stomach</td> <td>valid</td> <td>20</td> </tr> <tr> <td>GTEX-1192W-2526</td> <td>Muscle - Skeletal</td> <td>GTEX-1192W</td> <td>male</td> <td>60-69</td> <td>Fast death - natural causes</td> <td> </td> <td>2 pieces, ~10-20% interstitial fat, rep foci delineated</td> <td>Muscle</td> <td>train</td> <td>200</td> </tr> <tr> <td>GTEX-1192X-0426</td> <td>Muscle - Skeletal</td> <td>GTEX-1192X</td> <td>male</td> <td>50-59</td> <td>Slow death</td> <td> </td> <td>2 pieces, 5-10% interstitial fat, rep. foci delineated</td> <td>Muscle</td> <td>valid</td> <td>20</td> </tr> <tr> <td>GTEX-11DXX-1326</td> <td>Stomach</td> <td>GTEX-11DXX</td> <td>female</td> <td>60-69</td> <td>Ventilator case</td> <td>gastritis</td> <td>6 pieces, mild chronic active gastritis</td> <td>Stomach</td> <td>train</td> <td>200</td> </tr> </tbody> </table> <p>Inside <code>train</code> and <code>valid</code> and JPEG files named with the following convention: <code><Tissue Sample ID>.<Tissue_simple>.<Sex>.<Age Bracket>.<Y position>.<X position>.jpg</code> such that the origin of the crops can be traced and the file name serve as a direct class label if desired.</p> <p>Examples: "GTEX-ZYT6-1326.Pancreas.male.30-39.47492.16064.jpg", "GTEX-WWYW-2726.Ovary.female.50-59.5024.15008.jpg.</p>
The gross primary productivity and leaf area index from TRENDY v7 project
<p>The gross primary productivity and leaf area index from TRENDY v7 DGVMs S3, including:</p> <p>CABLE-POP</p> <p>CLASS-CTEM</p> <p>CLM5.0</p> <p>DLEM</p> <p>JSBACH</p> <p>JULES</p> <p>LPX</p> <p>OCN</p> <p>ORCHIDEE</p> <p>ORCHIDEE-CNP</p> <p>SDGVM</p> <p>SURFEX</p> <p>VISIT</p>
Data for the project: Shifts in habitat suitability for harbour porpoises leads to reduced importance of Marine Protected Areas
<p><span>Location data from 111 tracked harbour porpoises were collected over the period 1997–2022 as part of a long-term satellite telemetry monitoring program in Denmark</span><span>. Individual harbour porpoises were fitted with Argos satellite tags after being incidentally trapped in pound nets, which are used in near-shore commercial fisheries in the Inner Danish waters</span><span>. </span><span>Argos tags were programmed to make a limited number of daily satellite uplinks and acquire a location at pre-defined times (time of day and duty cycles) to increase the battery lifetime. Duty cycles of the tags varied between 1 and 4 days. Pre-processing of l</span><span>ocation data included filtering out unlikely locations using the Argos-Filter v7.03 </span><span>and the removal of locations on land and those collected within 24 hours after tagging to reduce behavioural bias caused by capture and tagging</span><span>.</span><span> After the data cleaning process, 9 345 <span>locations collected by 111 harbour porpoises were included in this study with an average tracking duration of 118.5 days per individual (min = 8 days, max = 522 days).</span></span></p> <p><span><span>Dataset includes coordinates (latitude and longitude ) of each location and the season and time period it was collected.</span></span></p>
CARB forest offset project wildfire risk ratings
<p>Wildfire risk reversal ratings assigned to forest offset projects participating in California's forest carbon offset program. </p>
Species functional data and species distribution model projections for future land-use and fire management scenarios in the Transboundary Biosphere Reserve Gerês-Xurés
<p>The data includes nine functional traits and species distribution model projections for 102 species of vertebrates (amphibians, birds, and reptiles) in the Transboundary Biosphere Reserve Gerês-Xurés. The model projections are available for 2050 under six different land-use and fire management scenarios, namely two land-use scenarios of “business-as-usual” (BAU; ongoing trends of land abandonment) and “High Nature Value farmlands” (HNV), each under three fire management scenarios (low suppression - LS, current fire suppression - CS, and high fire suppression - HS). The species distribution projections for each scenario are presented as matrices of species presences/absences, obtained after reclassifying consensus predictions of species distribution models.</p>
Serious games for Serious Energy Solutions project dataset
<p>This dataset includes the chat transcripts from two iterations of playing the Serious Game New Shores: A game for Democracy with a more diverse (reflecting the public) and a less diverse group (reflecting policymakers). It also includes the results for all players in the 10 rounds of the two game iterations and the final reports produced by the serious game for each iteration. The aim of the project is to investigate the impact of diversity on decision-making for sustainability using a serious game as a research tool.</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>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.