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Dataset results
352 results for “research projects”
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>
"RESEARCH & PROJECTS Achievement"-Additional Proof Materials
<p>Additional proof materials for Zongyue ZHANG's achievements regarding research & academic projects he worked on during his Master's education at PSL Research University and Huazhong University of Science & Technology and during various training programs he participated in different labs and institutions in China and Europe.</p>
The fifth research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The fifth research task carried out as part of the project concerns the electrochemical characteristics of the obtained liquid metal complexes and the determination of their electrochemical potential. The information relates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
The third research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The third research task carried out under the project concerns the modification of solid carriers (MWCNTs, silica, inorganic oxide) with liquid metal complexes and the physical and chemical properties characterization of obtained materials. The information relates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
The first research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The first research task carried out under the project concerns synthesis of novel solvate ionic liquids and physical and chemical properties characterization of obtained liquid metal complexes. The information relates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
The fourth research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The fourth research task carried out under the project relates to the catalytic performance and activity of obtained in previous tasks liquid metal complexes in homo- and heterogeneous systems in various selected chemical processes. The information correlates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
Data from the Bioradar Work Package of the German BMBF Research Project SORTIE
<p>This research is part of the German research project SORTIE and is supported by the German Federal Ministry of Education and Research (BMBF) under grant number 13N15189.</p> <p>Related journal articles:</p> <p><em>[1]</em> <em>Shi, D.; Gidion, G.; Aftab, T.; Reindl, L.M.; Rupitsch, S.J. Frequency Comb-Based Ground-Penetrating Bioradar: System Implementation and Signal Processing. Sensors 2023, 23, 1335. </em><a href="https://doi.org/10.3390/s23031335">https://doi.org/10.3390/s23031335</a><em>.</em></p> <p><em>[2] Shi, D.; Gidion, G.; Reindl, L.M.; Rupitsch, S.J. Automatic life detection based on efficient features of ground-penetrating rescue radar signals. Submitted to Sensors.</em></p>
Guided a Research Project titled "Bottle Biospheres: An Innovative Idea to understanding life" which was submitted by Ms. Dakhni Fatima in Pure Sciences. December 12, 2022.
<p>Guided a Research Project titled <strong>“Bottle Biospheres: An Innovative Idea to understanding life” </strong>which was submitted by <strong>Ms. Dakhni Fatima </strong>in <strong>Pure Sciences in Aavishkar. December 12, 2022</strong></p>
Dataset for the paper "Trends in studies developed in Europe about inclusion and diversity in schools: A systematic research projects review"
<p>Resources for the Systematic Research Projects Review (SRPR) about European research projects on school inclusion and diversity. The SRPR is related to the project "Gamified Values Education For Fostering Migrant Integration at Schools (GAMIGRATION)" funded by Erasmus+ programme of the European Union (ref. 2021-1-ES01-KA220-SCH-000032607).</p> <p>Search conducted on CORDIS and Erasmus+ platform.</p>
Shifts in Mapping, research project 2018–2021
<p>“Shifts in Mapping” (2018-2021) is a fundamental research project initiated by Dr. Christine Schranz with a focus on digital maps and critical mapping, carried at the FHNW Academy of Arts and Design in Basel, with the support from the Swiss National Science Foundation (SNSF).<br> <br> Principal Investigator, Book Editor, Exhibition Co-Curator: Dr. Christine Schranz<br> <br> Video Production: Maria Smigielska<br> Soudtrack: Vodovoz Music Production</p>
SMART-DAPPER: Leveraging the Depression And Primary-care Partnership for Effectiveness-implementation Research Project
ClinicalTrials.gov study NCT03466346. IPD Sharing: YES. Countries: 1. Publications: 6.
Center of Research Translation (CORT) Project 2
ClinicalTrials.gov study NCT02038179. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Community Partners in Care is a Research Project Funded by the National Institutes of Health
ClinicalTrials.gov study NCT01699789. IPD Sharing: Not stated. Countries: 1. Publications: 26.
Chronic Low Back Pain Research Project
ClinicalTrials.gov study NCT00108550. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.