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6,782 results for “project”
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>
A Factor Two Difference in 21st-Century Greenland Ice Sheet Surface Mass Balance Projections from Three Regional Climate Models for a Strong Warming Scenario (SSP5-8.5)
<p>1km regridded Greenland Ice Sheet SMB / Runoff / Melt projection until 2100. Projections from MAR, RACMO, HIRHAM forced by CESM2 (SSP5-8.5).</p>
MULTIPLIERS_WP5_Science learning project on AMR_UAB_Public data_v1
<p><span>The datasets contain the following data related to the science learning project on ARM: </span></p> <ul> <li><span>Summary of transcripts from interviews with OSC members, and student groups (Pseudo-/Anonymised).</span></li> </ul>
MULTIPLIERS_WP3/4_Science learning project on Air Pollution_UAB_Public data
<p><span>This dataset contains the following data related to</span><span> the science learning project on <em>Air pollution</em></span><span>:</span></p> <ul> <li><span>Summary of transcripts from interviews with teachers, OSC members, and students (Pseudo-/Anonymised)</span></li> </ul> <p> </p>
Data sets for the MSCA project ElectronsOnRun
<p>Data created during MSCA project ElectronsOnRun. </p>
UCGWATERplus project
<p>This work is part of the UCGWATERplus project “Coal- and bio-based water remediation strategies for underground coal gasification and beyond”, which is supported by the Research Fund for Coal and Steel of the European Union, under Grant Agreement no. 101033964</p> <p>Video presented at the #RSCPoster 2024 event of the Royal Society of Chemistry, held on LinkedIn</p>
Deliverable D1.4 - Supplementary material : Dataset on CS#2 Danube Suspect Screening Results Table : H2020 PROMISCES project
<p>Additional information on PROMISCES deliverable D1.4. Data set with list of substances identified in samples from the Danube catchment between Vienna and Budapest (CS#2) by suspect screening and database comparison and corresponding peak intensities. These data are non-target data, the measured intensities do not correspond to concentrations.</p>
BMBF KüNO BluEs project: Work package 4.3 by University of Rostock
<p>Research data from the BMBF KüNO BluEs project: Work package 4.3 by the University of Rostock, grant number 03F0864B</p>
Data to calculate metal demand from IAM energy projections and add flexibility to the technological mix
<p>In the "Data" folder, you’ll find all necessary data to run the <strong>"IAM_metal_optimisation.py"</strong> script, available on GitHub (<a href="https://github.com/Pelotte/iam-metal-demand-optimizer/tree/master" target="_new" rel="noopener">https://github.com/Pelotte/iam-metal-demand-optimizer/tree/master</a>).</p> <p>The <strong>"IAM_metal_optimisation.py"</strong> script is a tool designed to:</p> <ol> <li>Quantify metal supply and demand by sector through 2050, using energy projections from various IAMs and SSP-RCP scenarios.</li> <li>Optimize the IAM technological mix, minimizing adjustments needed to prevent metal demand from exceeding supply constraints.</li> </ol> <p>This tool supports all IAMs with power projections for SSP-RCP scenarios (except SSP3) provided in the IPCC’s Sixth Assessment Report (AR6), Working Group III, and available in the IIASA database.</p> <p>Data for RCP 2.6, SSPs 1, 2, 4, 5, of the SSP marker IAM models of the IPCC, are organized in the "Capacity Factor IAM," "GDP IAM," and "Power Capacity IAM" folders. See the GitHub README for more details.</p>
Data for CESMINE project 844761
<p><span>All data was collected in the project entitled "Cultural ecosystem services of post-mining sites: socio-economic rehabilitation after quarrying". The research has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie <span>Skłodowska-Curie grant agreement No. 884761, CESMINE project. </span>The dataset is organized into files based on the work packages outlined in the attached document.<br></span></p>
High resolution reanalysis for the northern Adriatic Sea (CADEAU project - CMEMS Demonstration 32-DEM-L5)
<p><span><span>This dataset includes the output of the high resolution reanalysis carried out in the framework of the CADEAU project (CMEMS Demonstration 32-DEM-L5). </span></span></p> <p><span><span>The reanalysis covers the northern Adriatic Sea for the 2006-2017 time period; the simulation is characterized by a horizontal resolution of 1/128° and 27 non-equally spaced vertical layers.</span></span></p> <p><span><span>The dataset includes the following physical and biogeochemical variables (averaged every 5 days): (1) salinity (S), temperature (T), chlorophyll (Chla), nitrate (N3n), phosphate (N1p).</span></span></p>
DAPI images, molecules and segmentation boundaries for: A Spatiotemporal Atlas of Mouse Gastrulation and Early Organogenesis to Explore Axial Patterning and Project In Vitro Models onto In Vivo Space
<div> </div> <p><strong>Data Description</strong></p> <ol> <li><strong>Stitched & rotated DAPI images</strong> - tiff file format filename indicates sample and optical z-slice position, i.e. embryo3_z5.tif is the DAPI image for embryo 3 in optical z-slice 5. Also provided in PNG format.</li> <li><strong>Detected molecules and cell segmentation in MoleculeExperiment objects</strong> - RDS files to read data using the MoleculeExperiment format in R/Bioconductor. Filename embryo3_z5.Rds indicates MoleculeExperiment RDS file for embryo 3 in optical z-slice 5. Coordinates are provided in microns. Note that z-slices 2 and 5 are only provided for embryos 1,2,3 as they were originally provided in Lohoff et al, Nature Biotechnology, 2023.</li> <li><strong>Pixels-to-microns conversion</strong> - pixelSize.R Simple R script/text to indicate the size of each pixel in the DAPI images, this is to align the coordinate systems between the DAPI images and molecules.<br><br> <div> <h4>Project Abstract</h4> </div> <p>At the onset of murine gastrulation, pluripotent epiblast cells migrate through the primitive streak, generating mesodermal and endodermal precursors, while the ectoderm arises from the remaining epiblast. Together, these germ layers establish the body plan, defining major body axes and initiating organogenesis. Although comprehensive single cell transcriptional atlases of dissociated mouse embryos across embryonic stages have provided valuable insights during gastrulation, the spatial context for cell differentiation and tissue patterning remain underexplored. In this study, we employed spatial transcriptomics to measure gene expression in mouse embryos at E6.5 and E7.5 and integrated these datasets with previously published E8.5 spatial transcriptomics and a scRNA-seq atlas spanning E6.5 to E9.5. This approach resulted in a comprehensive spatiotemporal atlas, comprising over 150,000 cells with 88 refined cell type annotations as well as genome-wide transcriptional imputation during mouse gastrulation and early organogenesis. The atlas facilitates exploration of gene expression dynamics along anterior-posterior and dorsal-ventral axes at cell type, tissue, and organismal scales, revealing insights into mesodermal fate decisions within the primitive streak. Moreover, we developed a bioinformatics pipeline to project additional scRNA-seq datasets into a spatiotemporal framework and demonstrate its utility by analysing cardiovascular models of gastrulation3. To maximise impact, the atlas is publicly accessible via a user-friendly web portal empowering the wider developmental and stem cell biology communities to explore mechanisms of early mouse development in a spatiotemporal context.</p> </li> </ol>
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.