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VC40429 Million Mutation Project strain | 2016-02-24T16:00:33+00:00
<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=ckfMxl84Xlg</li> <li><b>strain</b> : VC40429</li> <li><b>timestamp</b> : 2016-02-24T16:00:33+00:00</li> <li><b>gene</b> : -N/A-</li> <li><b>chromosome</b> : -N/A-</li> <li><b>allele</b> : -N/A-</li> <li><b>strain_description</b> : Million Mutation Project strain</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : clockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : VC40429 on food L_2016_02_24__16_00_33___4___2</li> <li><b>total time (s)</b> : 898.967</li> <li><b>frames per second</b> : 30.03</li> <li><b>video micrometers per pixel</b> : 6.21293</li> <li><b>number of segmented skeletons</b> : 26392</li> </ul>
VC40429 Million Mutation Project strain | 2016-02-18T14:35:57+00:00
<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=LOl24JciJr4</li> <li><b>strain</b> : VC40429</li> <li><b>timestamp</b> : 2016-02-18T14:35:57+00:00</li> <li><b>gene</b> : -N/A-</li> <li><b>chromosome</b> : -N/A-</li> <li><b>allele</b> : -N/A-</li> <li><b>strain_description</b> : Million Mutation Project strain</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : clockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : VC40429 on food L_2016_02_18__14_35_57___4___1</li> <li><b>total time (s)</b> : 899.0</li> <li><b>frames per second</b> : 30.03</li> <li><b>video micrometers per pixel</b> : 6.21293</li> <li><b>number of segmented skeletons</b> : 25550</li> </ul>
VC40429 Million Mutation Project strain | 2016-02-10T14:55:50+00:00
<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=Oyzf7nhy6Vo</li> <li><b>strain</b> : VC40429</li> <li><b>timestamp</b> : 2016-02-10T14:55:50+00:00</li> <li><b>gene</b> : -N/A-</li> <li><b>chromosome</b> : -N/A-</li> <li><b>allele</b> : -N/A-</li> <li><b>strain_description</b> : Million Mutation Project strain</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : anticlockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : VC40429 on food R_2016_02_10__14_55_50___4___3</li> <li><b>total time (s)</b> : 898.967</li> <li><b>frames per second</b> : 30.03</li> <li><b>video micrometers per pixel</b> : 6.21293</li> <li><b>number of segmented skeletons</b> : 25680</li> </ul>
VC40429 Million Mutation Project strain | 2016-02-05T12:22:48+00:00
<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=KuM8Ex4wFmw</li> <li><b>strain</b> : VC40429</li> <li><b>timestamp</b> : 2016-02-05T12:22:48+00:00</li> <li><b>gene</b> : -N/A-</li> <li><b>chromosome</b> : -N/A-</li> <li><b>allele</b> : -N/A-</li> <li><b>strain_description</b> : Million Mutation Project strain</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : clockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : VC40429 on food L_2016_02_05__12_22_48___4___3</li> <li><b>total time (s)</b> : 899.0</li> <li><b>frames per second</b> : 30.03</li> <li><b>video micrometers per pixel</b> : 6.21293</li> <li><b>number of segmented skeletons</b> : 25582</li> </ul>
VC40429 Million Mutation Project strain | 2016-02-04T12:30:07+00:00
<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=8-Ui8JFIHg0</li> <li><b>strain</b> : VC40429</li> <li><b>timestamp</b> : 2016-02-04T12:30:07+00:00</li> <li><b>gene</b> : -N/A-</li> <li><b>chromosome</b> : -N/A-</li> <li><b>allele</b> : -N/A-</li> <li><b>strain_description</b> : Million Mutation Project strain</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : clockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : VC40429 on food L_2016_02_04__12_30_07___4___5</li> <li><b>total time (s)</b> : 899.0</li> <li><b>frames per second</b> : 30.03</li> <li><b>video micrometers per pixel</b> : 6.21293</li> <li><b>number of segmented skeletons</b> : 26034</li> </ul>
VC40429 Million Mutation Project strain | 2016-02-18T14:54:32+00:00
<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=BBBLF8BsPsU</li> <li><b>strain</b> : VC40429</li> <li><b>timestamp</b> : 2016-02-18T14:54:32+00:00</li> <li><b>gene</b> : -N/A-</li> <li><b>chromosome</b> : -N/A-</li> <li><b>allele</b> : -N/A-</li> <li><b>strain_description</b> : Million Mutation Project strain</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : anticlockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : VC40429 on food R_2016_02_18__14_54_32___3___2</li> <li><b>total time (s)</b> : 899.3</li> <li><b>frames per second</b> : 20.0</li> <li><b>video micrometers per pixel</b> : 4.61106</li> <li><b>number of segmented skeletons</b> : 17862</li> </ul>
VC40429 Million Mutation Project strain | 2016-02-04T12:12:13+00:00
<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=ZSNvonIuOE4</li> <li><b>strain</b> : VC40429</li> <li><b>timestamp</b> : 2016-02-04T12:12:13+00:00</li> <li><b>gene</b> : -N/A-</li> <li><b>chromosome</b> : -N/A-</li> <li><b>allele</b> : -N/A-</li> <li><b>strain_description</b> : Million Mutation Project strain</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : anticlockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : VC40429 on food R_2016_02_04__12_12_13___3___4</li> <li><b>total time (s)</b> : 899.3</li> <li><b>frames per second</b> : 20.0</li> <li><b>video micrometers per pixel</b> : 4.61106</li> <li><b>number of segmented skeletons</b> : 16969</li> </ul>
Data set for EMPIR project MeDDII Report A2.1.5 D3
<p>Data set for EMPIR project MeDDII Report A2.1.5 D3</p> <p>Validation report on the primary standards developed for the in-line measurement of the dynamic viscosity of Newtonian liquids with a target uncertainty of 2 % (k=2)</p>
Database of extreme events, test cases selection and available data, Deliverable 5.1 – ECFAS Project (GA 101004211), www.ecfas.eu
<p>The European Copernicus Coastal Flood Awareness System (ECFAS) project aimed at contributing to the evolution of the Copernicus Emergency Management Service (https://emergency.copernicus.eu/) by demonstrating the technical and operational feasibility of a European Coastal Flood Awareness System. Specifically, ECFAS provides a much-needed solution to bolster coastal resilience to climate risk and reduce population and infrastructure exposure by monitoring and supporting disaster preparedness, two factors that are fundamental to damage prevention and recovery if a storm hits.</p> <p>The ECFAS Proof-of-Concept development ran from January 2021 to December 2022. The ECFAS project was a collaboration between Scuola Universitaria Superiore IUSS di Pavia (Italy, ECFAS Coordinator), Mercator Ocean International (France), Planetek Hellas (Greece), Collecte Localisation Satellites (France), Consorzio Futuro in Ricerca (Italy), Universitat Politecnica de Valencia (Spain), University of the Aegean (Greece), and EurOcean (Portugal), and was funded by the <strong>European Commission H2020 Framework Programme</strong> within the call LC-SPACE-18-EO-2020 - Copernicus evolution: research activities in support of the evolution of the Copernicus services. </p> <p><em><strong>Reference literature:</strong></em></p> <p><strong>Souto-Ceccon, P. E., Montes, J., Duo, E., Ciavola, P., Fernández-Montblanc, T., and Armaroli, C.: A European database of resources on coastal storm impacts, Earth Syst. Sci. Data, 17, 1041–1054, <a href="https://doi.org/10.5194/essd-17-1041-2025">https://doi.org/10.5194/essd-17-1041-2025</a>, 2025.</strong></p> <p><strong>Description of the product</strong></p> <p>Deliverable 5.1 is a comprehensive inventory of extreme coastal events that produced flooding at different locations along the European coastline. It includes the collection and identification of events, locations and available information on the test cases.</p> <p>The purpose of the ECFAS database is to provide a source of information on extreme coastal events and locations that experienced coastal flooding, considering both hazard and impact aspects. Thus, the database collects events, sites and available information to support further investigation on specific test cases. Test cases are defined here as specific sites where an extreme event that generated flooding and damage occurred. The time frame considered for the analysis is between 2010 and 2020 in order to use recent satellite imagery with good resolution and including, if possible, overlap with Sentinel missions.</p> <p>The product includes three files: 1) an Excel file with the inventory; 2) an accompanying report that includes the guidelines to use the inventory, other relevant information on the method used to implement the inventory and the sources of information; 3) the test cases polygons in .geojson format.</p> <p>This ECFAS Database is made available under the <strong>Open Database License</strong>: <a href="http://opendatacommons.org/licenses/odbl/1.0/">http://opendatacommons.org/licenses/odbl/1.0/</a>. Any rights in individual contents of the database are licensed under the <strong>Open Database License</strong>: <a href="http://opendatacommons.org/licenses/dbcl/1.0/">http://opendatacommons.org/licenses/dbcl/1.0/</a>.</p> <p>This <strong>Report</strong> is made available under the <strong>Creative Commons Attribution 4.0 International License</strong>.</p> <p> </p> <p><em><strong>Disclaimer:</strong></em></p> <p>ECFAS partners provide the data "as is" and "as available" without warranty of any kind. The ECFAS partners shall not be held liable resulting from the use of the information and data provided.</p> <p>This project has received funding from the Horizon 2020 research and innovation programme under grant agreement No. 101004211</p> <p> </p>
Project-NN-Pytorch-scripts Datasets and Resources
<p>=== General ===</p> <p>This Zenodo repository contains datasets used for https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts.</p> <p>All the data released with a CC BY-SA 4.0 lincense https://creativecommons.org/licenses/by-sa/4.0/, unless it is specified in the corresponding data package. </p> <p>Note:</p> <ol> <li>Data derived from ASVspoof 2019 LA https://datashare.ed.ac.uk/handle/10283/3336, provided by ASVspoof organization committee, is licensed under the Open Data Commons Attribution License https://opendatacommons.org/licenses/by/1-0/;</li> <li>Data derived from ASVspoof 2021 DF <a href="https://doi.org/10.5281/zenodo.4835107">10.5281/zenodo.4835107</a>, provided by ASVspoof organization committee, is licensed under the Open Data Commons Attribution License https://opendatacommons.org/licenses/by/1-0/;</li> <li>Data derived from ASVspoof 2021 LA <a href="https://doi.org/10.5281/zenodo.4817650">10.5281/zenodo.4817650</a>, provided by ASVspoof organization committee, is licensed under the Open Data Commons Attribution License https://opendatacommons.org/licenses/by/1-0/;</li> <li>ESPNet samples were partially produced based on the LJspeech database by Keith Ito and Linda Johnson, https://keithito.com/LJ-Speech-Dataset, released in the public domain. </li> <li>ESPNet samples were partially produced based on the LibriTTS database, LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech", Heiga Zen, Viet Dang, Rob Clark, Yu Zhang, Ron J. Weiss, Ye Jia, Zhifeng Chen, and Yonghui Wu, arXiv, 2019 https://www.openslr.org/60/. It is released with CC BY 4.0 https://creativecommons.org/licenses/by/4.0</li> </ol> <p>That's all</p> <p> </p>
How do CONTRIBUTING files support newcomers in Open Source projects?
<p> </p> <p>Welcome to the replication package for the paper entitled "Do CONTRIBUTING files provide information about OSS newcomers' onboarding barriers?"</p> <p><strong>Repository Structure </strong><br> Our package is divided in folders and it is organized as follows:</p> <ul> <li><strong>app</strong>: This folder contains the implementation of our streamlit application, used to demonstrate the capabilities of our classification model. </li> <li><strong>data</strong>: If you are looking for the data we have used for classification, this is the folder where it is located. This folder also contains the raw contributing files of each project analyzed, and the spreadsheets qualitatively analyzed by the authors. </li> <li><strong>results</strong>: This folder contains all the files related to our results section. From the analysis of our classification model to the results of our online questionnaire.</li> <li><strong>scripts</strong>: If you want to see the code we wrote during the whole classification process, including but not limited to the classification process, this is the folder you are looking for.</li> <li><strong>survey</strong>: instrument used in the survey, raw answers and a spreadsheet with analyzed data.</li> <li><strong>misc</strong>: This folder contains miscellaneous files that were not used in this paper, but support the statements of it (e.g. a screenshot of the top ten languages used on GitHub from the Octoverse website).</li> </ul> <p><em>Each folder has its specific README.md with more specific details about their content.</em></p> <p><strong>I want to use your model!</strong><br> We are glad you are interested in our classification model. The final model is available as a `classification_model.sav` file inside the `app` folder that you can load using Pickle. If you are not familiar with Pickle or don't know how to load a model, we recommend you to take a look at our code implementation inside the `app` folder (`classify_content.py` is a good starting point).<br> </p>
Whole database with all inputs and outputs of the Master thesis: Analyzing Software Delivery Performance behavior in popular Open Source Software Projects on a Release timeline basis through delivery metrics
<p>The software has become one of the main assets to deliver services today. Thus, software delivery has been dealing with a competitive and dynamic environment where the demand for faster and more assertive deliverables, called here Releases, only increases. Agile development methods emerged helping to accelerate software delivery, embracing industry and open source community. Since then, the software delivery frequency has expanded and improved bringing more adopters of rapid release cycles to reduce their time-to-market. However, using only rapid releases can not be enough as measuring software delivery can answer essential questions, like how software delivery is happening and how it should be. Some approaches for measuring software delivery appeared such as Software Delivery Performance (SDP) where software delivery is measured as a consequence of capabilities evolution. Popularity in Open Source Software Projects (OSSP) means that a project is mature enough in the community to fit the software demand and, therefore, is likely to be ready to be measured through a software delivery approach like SDP. In light of it, this work offers means to analyze SDP behavior in popular Open Source Software Projects on a Release timeline basis through delivery metrics. The results demonstrated that popularity is efficient filtering, as it improves the OSSP delivery, supporting the work's reliability and accuracy. The source code and methodology are published as a replication package to encourage reproducibility and future research.</p> <p> </p>
metapsy-project/data-peer-support: Version 23.0.0
<p><strong>The data-peer-support dataset</strong> 📊 </p> <p>The data-peer-support dataset is a meta-analytic research domain <a href="https://docs.metapsy.org/uploads/ebmental-2022-300509.pdf">MARD</a> which is part of the <a href="https://www.metapsy.org">Metapsy project</a>. The dataset contains study information and effect size data of randomized trials on peer support interventions for individuals with mental illness. The date of the last search update is provided <a href="https://github.com/metapsy-project/data-peer-support/blob/main/metadata/last_search.txt">here</a>. More details about this database can be accessed in the published <a href="https://pubmed.ncbi.nlm.nih.gov/36066104/">meta-analysis.</a></p> <p>This dataset includes peer support interventions (PSIs) vs. control (`PSIs vs ctr`) comparisons. Effect sizes are provided for three types of recovery outcomes at post-test: clinical recovery, personal recovery, and functional recovery . <br> It includes one type of effect size calculation per study, giving priority to means and standard deviations at post-test, followed by change scores, binary outcomes, and other statistics.</p> <p>The dataset follows the <a href="https://docs.metapsy.org/data-preparation/format/">Metapsy data standard</a>.</p>
Dataset of the Ptanois Posin project
<p>Dataset of the MSCA project PTANOIS POSIN.</p>
HEART project
<p>This dataset was composed under the scope of HEART project (Τ2ΕΔΚ-03898). It contains active power measurements from 4 installations located in Greece. The period of collection was from 2022 July 07 to 2022 August 08. The sampling frequency is 1Hz. Each file contains the timestamp in unix, the mains consumption and ground truth from a set of appliances.<br> <br> <strong>HERON7 </strong>= ["dw", "wm", "fridge", "gaming PC", "minioven", "TV", "router", "lamp", "laptop", "watercooker", "radio", "monitor"]<br> <br> <strong>HERON13 </strong>= ["TV", "wm", "fridge", "microwave", "minioven", "toaster", "router", "lamp", "iron", "hot air gun", "coffee machine", "printer"]<br> <br> <strong>HERON27 </strong>= ["wm", "TV", "fridge", "radio", "minioven", "dryer", "router", "lamp", "microwave", "iron", "hot air gun", "coffee machine"]<br> <br> <strong>HERON33 </strong>= ["wm", "dw", "fridge", "iron", "minioven", "TV", "router", "lamp", "monitor", "hair dryer", "watercooker", "heater"]</p>
aaIN-HALE PROJECT
Dataset for network IN01 in project IN-HALE PROJECT
Available datasets of Aquilegia oxysepala for this project
<p>Available datasets of <em>Aquilegia oxysepala</em> for this project</p>
Dataset - COLOR project
<p>These are formant values by subject and by trial for word reading in color as well as word reading in black tasks.</p>
An Empirical Comparison of Ethnic and Gender Diversity of DevOps and non-DevOps Contributions to Open-Source Projects
<p>This is the replication package for the paper titled "An Empirical Comparison of Ethnic and Gender Diversity of DevOps and non-DevOps Contributions to Open-Source Projects." </p> <p>The preview is our online appendix. We encourage you to read the README.md file for more information about the replication package and the folder structure. </p> <p> </p>
Dataset of a project entitled "Knowledge of traffic signs among vehicle drivers of Bangladesh"
<p>Road traffic accidents remain a significant public health concern globally, causing a staggering number of fatalities and injuries annually. Our study delves into the knowledge and perceptions of traffic signs among bus drivers in Bangladesh, a country witnessing a notable surge in economic growth and urbanization, leading to increased motorization and road accidents. The research examines the level of traffic sign knowledge and perceptions among 300 licensed bus drivers using a cross-sectional survey approach. The results provide insights regarding the driver's understanding and shed light on key factors contributing to comprehension levels, including age, education, and training.</p>
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.