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8,537 results for “Openness”
Open Copper Site MOF (OCS-MOF) Database
<p>This dataset represents a curated collection of metal-organic frameworks (MOFs) with open copper sites (OCS) specifically selected for their potential in CO2/CH4 separation, which is essential for biogas upgrading. The OCS-MOFs were sourced and refined from the ARC-MOF database, following a comprehensive screening process to ensure novelty, validity, and applicability. The structures underwent rigorous quality control, including elimination of duplicates using pymatgen and MOFid, validation of physical and chemical integrity using MOFChecker, and assessment of pore accessibility via Zeo++.</p> <p>The dataset serves as the foundation for the multi-scale molecular simulations and machine learning models presented in our accompanying research. These models employ OCS-specialized force fields and diversity-transferable machine learning approaches to unveil structure-function relationships in MOFs, providing valuable insights into pore geometry and local chemical environments that optimize CO2 adsorption capacity and selectivity.</p> <p>For the accompanying machine learning pipline code, and tabulated data, please visit the GitHub repository here. https://github.com/xiaoyu961031/OCS-MOFs</p> <p>If you use this in your work, please cite our related publication: Xiaoyu Wu, Rui Zheng and Jianwen Jiang*. Leveraging Cross-Diversity Machine Learning to Unveil Metal-Organic Frameworks with Open Copper Sites for Biogas Upgrading. Journal of Chemical Theory and Computation, 2025. DOI:10.1021/acs.jctc.4c01478</p>
Open data on organizational success indicators
<p>This is the open data set that undergirds the analysis for "The Many Indicators of Nonprofit Success as Seen by Nonprofit Leaders"; detailed reference to be announced.</p>
Open database on traits and phylogenetic data on European pollinators
<p>(subtitle) data on wild bees, hoverflies and butterflies</p> <p>(abstract) This dataset was produced in the framework of the work package 1 (task 2) of the Horizon EU project Safeguard. The dataset encompassess trait data for three groups of pollinators: wild bees, hoverflies and butterflies, as well as phylogenetic data extracted from the GenBank. Information on traits comes from different literature sources, as well as direct measurements in collections and published databases. Some of the traits are common accross different species groups, while some traits are unique for particular group.</p> <p>(method) Litherature search and direct measurments on specimens.</p> <p>(dataset) This dataset compiles trait data for European wild bee, hoveverfly and butterfly species, and includes different categorical or numerical values for particular traits. It also contains phylogenetic information for species.</p>
An Online Integrated Development Environment for Automated Programming Assessment Systems Open Source Data
<p>This dataset accompanies the paper <em>"An Online Integrated Development Environment for Automated Programming Assessment Systems"</em>. It contains data from the usability evaluation of a feature-rich online IDE designed for integration into Automated Programming Assessment Systems (APASs). The dataset includes survey responses from 27 participants based on the Technology Acceptance Model (TAM), performance metrics such as memory usage, and qualitative user feedback. The study highlights challenges in integrating online IDEs with APASs, such as memory efficiency, load balancing, and user experience. The dataset supports further research in developing scalable, effective, and user-friendly programming education tools.<br><br>Here you can find the code changes required for the online IDE in Artemis: <a href="https://github.com/ls1intum/Artemis/pull/6706/files" target="_blank" rel="noopener">Github</a></p>
GitHub Open Source Survey 2024
<p>Data and accompanying documentation for the Open Source Survey fielded by GitHub and collaborators in 2024. Respondents were sourced via random sampling from traffic to licensed open source repositories on GitHub.com. A report based on the subset of responses sampled from GitHub.com is available at http://opensourcesurvey.org/2024/. </p> <p>See the README for details on sampling methodology, and notes and questionnaire files for question wordings, response options, branching logic, and recoded variables.</p>
Replication Package for ICSE'21 paper - Representation of Developer Expertise in Open Source Software
<p>Replication package for ICSE'21 paper: Representation of Developer Expertise in Open Source Software.</p> <p>See README for details.</p>
Model run with METROMS to evaluate open boundary conditions in CICE [idealized wind]
<p>Support for time-varying open boundary conditions (OBC) have been developed for sea ice in the Los Alamos Sea Ice Model (CICE) by Pedro Duarte (NPI, Norway). This dataset is a result of using the coupled ocean (ROMS) and sea ice (CICE) modelling framework METROMS (<a href="https://github.com/metno/metroms">https://github.com/metno/metroms</a>) in order to test the effects of the above mentioned boundary conditions. The specific application of METROMS that was used was MET Norway's main forecasting system for the Barents Sea; the Barents-2.5km model; details about the model can be found at <a href="https://ocean.met.no/models">https://ocean.met.no/models</a>.</p> <p>The model was initialized from the TOPAZ4 model (Sakov et al., 2012)<strong> </strong>and was run for the period 2019.09.01 - 2019.09.20, one time without OBC and one time with OBC enabled using input data from TOPAZ4<strong> </strong>at the boundaries. In both runs the model was set up realistically, but with the exception of idealized wind forcing. More specifically, the wind was blowing 10 m/s in the positive xi-direction until 2019-09.07 and then 10/m/s in the negative xi-direction for the rest of the simulation. The reasoning for this was to clearly demonstrate the effects of the OBC. Initially, the wind is blowing the ice away from the boundary and without using OBC for ice, it leaves open water in its path due to no information coming in through the boundary. With OBC enabled however, the simulation appear a lot more sensible with sea ice from TOPAZ4 coming in through the boundaries. When the wind switches to the opposite direction after 2019.09.07, on the case without OBC results in ice piling up at the boundary after some time. However, with OBC enabled, the ice exists the model domain.</p> <p> </p>
Model run with METROMS to evaluate open boundary conditions in CICE
<p>Support for time-varying open boundary conditions (OBC) have been developed for sea ice in the Los Alamos Sea Ice Model (CICE) by Pedro Duarte (NPI, Norway). This dataset is a result of using the coupled ocean (ROMS) and sea ice (CICE) modelling framework METROMS (<a href="https://github.com/metno/metroms">https://github.com/metno/metroms</a>) in order to test the effects of the above mentioned boundary conditions. The specific application of METROMS that was used was MET Norway's main forecasting system for the Barents Sea; the Barents-2.5km model; details about the model can be found at <a href="https://ocean.met.no/models">https://ocean.met.no/models</a>.</p> <p>The model was initialized from the TOPAZ4 model (Sakov et al., 2012)<strong> </strong>and was run for the period 2019.09.01 - 2019.10.03, one time without OBC and one time with OBC enabled using input data from TOPAZ4<strong> </strong>at the boundaries. This dataset can further be used to compare with satelite observations of sea ice concentration in order to help evaluate the impacts of the OBC's in CICE.</p>
Data for From principles to practices: Open Science at European Universities. 2020-2021 EUA Open Science Survey Results
<p>This database refers to the data collected by the European University Association (EUA) for its 2020-2021 EUA Open Science Survey, which gathered responses from universities and higher education institutions across Europe. The full report published by the association is available at <a href="https://www.eua.eu/resources/publications/976:from-principles-to-practices-open-science-at-europe%E2%80%99s-universities-2020-2021-eua-open-science-survey-results.html">https://www.eua.eu/resources/publications/976:from-principles-to-practices-open-science-at-europe%E2%80%99s-universities-2020-2021-eua-open-science-survey-results.html</a> (<a href="http://doi.org/10.5281/zenodo.5062982">http://doi.org/10.5281/zenodo.5062982</a>).</p> <p>All information that could lead to the identification of individual universities and higher education institutions was removed from the database. The following files are available:</p> <ul> <li>2020-2021 EUA Open Science Survey</li> <li>Database in the following formats: .xlsx (Microsoft Excel) and .sav (IBM SPSS)</li> <li>Survey Codebook: includes information on all the variables and their coding (.xlsx)</li> <li>Data Management Plan.</li> </ul>
Dataset of the paper "Self-Admitted Technical Debt Practices: A Comparison Between Industry and Open-Source"
<p>This repository contains the dataset of the manuscript "Self-Admitted Technical Debt Practices: A Comparison Between Industry and Open-Source" accepted in the Empirical Software Engineering Journal, edited by Springer</p>
Yes! We're open. Open science and the future of academic practices in translation and interpreting studies - Supplementary material
<p>Supplementary material to the article "<em>Yes! We’re open</em>. Open science and the future of academic practices in translation and interpreting studies" by Christian Olalla-Soler. </p> <ul> <li>Sheet 1: Translation and Interpreting Studies journals and bibliometric indicators.</li> <li>Sheet 2: Translation and Interpreting Studies articles in Scopus.</li> <li>Sheet 3: Pre-registrations related to translation and interpreting.</li> </ul> <p>Reference:</p> <p>Olalla-Soler, Christian (2021). "<em>Yes! We’re open</em>. Open science and the future of academic practices in translation and interpreting studies". <em>Translation & Interpreting</em> 13 (2): 1-28. <a href="https://doi.org/10.12807/ti.113202.2021.a01">https://doi.org/10.12807/ti.113202.2021.a01</a></p>
Dataset for Perspectives on Open Science and The Future of Scholarly Communication: Internet Trackers, Algorithmic Persuasion and Robotic Process Automation
<p>This data set was created between 01-04.2021, to study the current landscape of using web trackers in scholarly communication. The data set is part of an article (manuscript) that is intended to be published under the this title: Perspectives on Open Science and The Future of Scholarly Communication: Internet Trackers, Algorithmic Persuasion and Robotic Process Automation.</p>
Supplement to "Rotation and Lithium Confirmation of a 500 Parsec Halo for the Open Cluster NGC2516"
<p>This repository contains supplementary data to the paper "Rotation and Lithium Confirmation of a 500 Parsec Halo for the Open Cluster NGC2516", which will be published in the Astronomical Journal in 2021 (https://arxiv.org/abs/2107.08050). Please see README.txt for a detailed description of the contents. To unzip and decompress the gzipped tarball file, <em>tar -xvzf ngc2516supplementary.tar.gz</em> should work on most computers.</p>
Detecting Cross-Language Plagiarism using Open Knowledge Graphs
<p>Corresponding authors: <a href="mailto:meuschke@uni-wuppertal.de?subject=Inquiry%20about%20CL-OSA%20dataset">Norman Meuschke</a>, <a href="mailto:ruas@uni-wuppertal.de?subject=Inquiry%20about%20CL-OSA%20dataset">Terry Ruas</a><br> Venue: 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2021)<br> at the ACM/IEEE Joint Conference on Digital Libraries 2021 (JCDL2021)</p> <p>==========================================================================</p> <p><strong>Source code: <a href="https://github.com/ag-gipp/cl-osa">https://github.com/ag-gipp/cl-osa</a> </strong></p> <p>==========================================================================</p> <p><strong>Dataset Details</strong></p> <p><em><a href="https://jipsti.jst.go.jp/aspec/">ASPEC</a></em>. The Asian Scientific Paper Excerpt Corpus comprises excepts of scientific papers in Japanese that have been manually translated to English and Chinese. We use both subsets of the ASPEC corpus. </p> <ul> <li><em>ASPEC-JC</em><strong> </strong>contains abstracts and paragraphs from the main text of research papers that were translated manually from Japanese to Chinese.</li> <li><em>ASPEC-JE</em> contains abstracts of approx. two million research papers that were translated manually from Japanese to English. </li> </ul> <p><em><a href="https://ec.europa.eu/jrc/en/language-technologies/jrc-acquis">JRC-Acquis</a></em>. The corpus consists of legislative texts in 22 languages, which the European Union's Joint Research Centre (JRC) selected from the cumulative body of EU laws (the so called Acquis communautaire). We sampled our test cases from the 10,000 document pairs in the English-French subset of the corpus.</p> <p><em><a href="https://www.statmt.org/europarl/">Europarl</a></em>. The corpus contains transcripts of European Parliament proceedings in 21 European languages. We exclusively sampled test cases from the 9,443 document pairs in the English-French subset of the corpus.</p> <p><em><a href="https://zenodo.org/record/3250095#.YOr25jqxVH4">PAN-PC-11</a></em>. The corpus contains instances of simulated monolingual and cross-language plagiarism that were used for evaluating plagiarism detection methods as part of the workshop series <a href="https://pan.webis.de/">Plagiarism Analysis, Authorship Identification, and Near-Duplicate Detection (PAN)</a>. Most of the 26,939 documents in the corpus were created by extracting text from openly available books. The documents are partially interspersed with instances of simulated plagiarism that were created and obfuscated automatically or by crowdsourced workers. We exclusively sampled test cases from the 2,921 Spanish-English aligned document pairs in the corpus, for which simulated plagiarism instances were either machine-generated or created manually by crowdsourced workers.</p> <ul> </ul> <p>==========================================================================</p> <p><strong>File Structure</strong></p> <p><strong>[corpus_documents] folder</strong>: Corpora of translation-aligned documents used in our experiments composed of: </p> <ul> <li>aspec: Japanese and English</li> <li>aspecx: Japanese and Chinese </li> <li>jrc: English and French </li> <li>europarl: English and French</li> <li>pan: English and Spanish</li> </ul> <p>Each sub-corpus consists of 4,000 translation-aligned files (2,000 per language); the entire corpus has thus 20,000 files.<br> Each set of translation-aligned documents was randomly selected from the original datasets (details in the paper).<br> The Japanese files in aspec and aspecx do not necessarily overlap even though they are from the same dataset.</p> <p><br> <strong>[vectors_documents] folder</strong>: Average vector representation of the documents in the datasets from two pre-trained models:</p> <ul> <li>Universal Sentence Encoder - Multilingual (USE-ML)</li> <li>ConceptNet Numberbatch</li> </ul> <p> </p> <p><strong>Naming convention</strong>: <model>_<dataset>_<language>;</p> <ul> <li>Example: cn_jrc_es: <ul> <li>model: ConceptNet Numberbatch</li> <li>corpus: JRC-Acquis</li> <li>language: Spanish</li> </ul> </li> </ul> <ul> <li>Labels: <ul> <li><model>:<br> cn - ConceptNet Numberbatch<br> um - USE-ML<br> </li> <li><dataset><br> aspec - ASPEC (Asian Scientific Paper Excerpt Corpus) - English and Japanese<br> aspecx - ASPEC (Asian Scientific Paper Excerpt Corpus) - Japanese and Chinese<br> jrc - JRC-Acquis<br> europarl - Europarl<br> pan - PAN-PC-11<br> </li> <li><language><br> en - English<br> es - Spanish<br> fr - French<br> ja - Japanese<br> zh - Chinese</li> </ul> </li> </ul>
BiblIA - an Open Annotated Dataset
<p>Version 1.0, 6.8.2021, Daniel Stökl Ben Ezra (daniel.stoekl@ephe.psl.eu)</p> <p>This dataset for Handwritten Text Recognition includes layout segmentation (regions, toplines and linepolygons) and unicode-transcriptions in alto 4.2 XML for 202 images of Medieval Hebrew manuscripts from the Bibliothèque nationale de France (BnF, National Library of France) and the Biblioteca Apostolica Vaticana (BAV, Vatican Library) corresponding to the article "BiblIA - a General Model for Medieval Hebrew Manuscripts and an Open Annotated Dataset" by Daniel Stökl Ben Ezra, Bronson Brown-DeVost, Pawel Jablonski, Benjamin Kiessling, Elena Lolli, and Hayim Lapin, published in HIP@ICDAR 2021 held in Lausanne, September 2021.<br> The catalogue.txt file contains the information about the images, the shelfmarks of the manuscripts, their script-style (Ashkenazy, Italian, Sephardi), genre (Biblical, Rabbinic), date (where known), image-type (color or grayscale), iiif-manifest and links to download the images where it was impossible to include them directly here for copyright issues. The 132 corresponding images from the BnF are included here. For the 70 images from the BAV, the iiif-links are given in the catalogue.txt.<br> The schema for the alto files is http://www.loc.gov/standards/alto/v4/alto-4-2.xsd.<br> To create these files, we used the open source kraken OCR/HTR engine kraken (now at version 3.05) and the eScriptorium virtual research environment (https://escripta.hypotheses.org) created by the digital and computational task force of the research laboratory Archéologie & Philologie d'Orient et d'Occident (UMR 8546, CNRS - PSL (EPHE, ENS)).<br> This work was funded by the projects Scripta-PSL, Biblissima+ (Équipex ANR-11-EQPX-0007), Resilience (Horizon 2020 Grant Agreement 871127), and in particular Sofer Mahir.</p> <p>Licence CC-BY-NC-SA 4.0: https://creativecommons.org/licenses/by-nc-sa/4.0/</p> <p> </p>
Description of the Features of the Open Research Knowledge Graph as a Crowdsourcing Platform based on the 4 Pillars of Crowdsourcing
<p>This dataset provides the description of the features of the <a href="https://www.orkg.org/orkg/">Open Research Knowledge Graph</a> (ORKG) based on the 4 pillars of crowdsourcing according to the reference model for crowdsourcing by Hosseini et al. [1]. This overview represents the features of the current implementation status of ORKG as a crowdsourcing platform.</p> <p>[1] M. Hosseini, K. Phalp, J. Taylor, and R. Ali, "<a href="https://ieeexplore.ieee.org/abstract/document/6861072?casa_token=zWTHNBHeH6kAAAAA:1n3EJjajqgSkSk154g4DlNFAmJs_7o3KY7LnobvP_W7AUIr-FvM5OyGP1FaRn68zUX-2oYHh7A">The Four Pillars of Crowdsourcing: A Reference Model</a>", in 2014 IEEE 8th International Conference on Research Challenges in Information Science (RCIS). IEEE, 2014, pp. 1–12.</p>
Authors with Publications in Open Access Journals
<p>This dataset has the set of Brazilian authors with publications in open access journals. It presents information about place of professional performance, maximum degree, large area and area of expertise.</p>
Mini Talks/Videos about Open Science from OLS-2 Cohort
<p><strong>We aim to present important topics in Open Science (e.g. open Licence, open review, open access, open sources, agile, open protocols, ...) within 10-15 minutes videos with subtitles and translations. </strong></p> <p>All resources are cited from the <strong>Open Life Science (OLS-2) </strong>and available on <a href="https://www.youtube.com/channel/UCs12-ZgnDJOWIWN3Vo1XHXA">Open LifeSci YouTube channel</a>. This project was initiated by <a href="https://twitter.com/talarify?lang=en">Talarify</a> and <a href="https://twitter.com/OpenSciSaudi">Open Science Community in Saudi Arabia</a> to facilitate learning of Open science practices to <strong>novice learners</strong> and to make OLS videos and captions accessible, re-useable, and encourage further translation in other languages beyond English and Arabic.</p> <p><strong>Individual videos can be downloaded from the GitHub repository:</strong></p> <ul> <li><a href="https://www.youtube.com/watch?v=Zj8EWGq5Wkk&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=1">Introduction to Open Life Sciences</a></li> <li><a href="https://www.youtube.com/watch?v=gQx-au72h04&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=2">Open Canvas for Project Strategy</a></li> <li><a href="https://www.youtube.com/watch?v=YKCKDAJ1RDU&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=3">Roadmapping for Open Projects</a></li> <li><a href="https://www.youtube.com/watch?v=2xGFF6qHOb8&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=4">A Primer on Open Licenses</a></li> <li><a href="https://www.youtube.com/watch?v=kodsPukJcE0&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=5">README for Open Projects</a></li> <li><a href="https://www.youtube.com/watch?v=XXuy9suO4Kw&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=6">Contributing Guidelines and Codes of Conduct for Open Projects</a></li> <li><a href="https://www.youtube.com/watch?v=VLpJTBhuotM&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=7">Agile and Iterative Project Management Methods</a></li> <li><a href="https://www.youtube.com/watch?v=RMeGH8AnEIU&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=8">Open Scientific Code in Research</a></li> <li><a href="https://www.youtube.com/watch?v=xDDdJsHa078&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=9">Open Data</a></li> <li><a href="https://www.youtube.com/watch?v=3er0NjjHGHE&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=10">Open Education and Training</a></li> <li><a href="https://www.youtube.com/watch?v=Fw6B3kdy5Ow&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=11">Preprint in the Context of Open Science</a></li> <li><a href="https://www.youtube.com/watch?v=hva-oTapSWU&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=12">Open Protocols</a></li> <li><a href="https://www.youtube.com/watch?v=llp1KD7T93s&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=13">Making training materials FAIR in 10 steps</a></li> <li><a href="https://www.youtube.com/watch?v=nqvDU-skyoQ&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=14">FAIR research software</a></li> <li><a href="https://www.youtube.com/watch?v=9Z4CGxpN4pY&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=15">Universal theme</a></li> <li><a href="https://www.youtube.com/watch?v=4H9YDPwaHls&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=16">Career Guidance in Academia</a></li> <li><a href="https://www.youtube.com/watch?v=EOAJeq-q6W0&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=17">Career Path and Guidance</a></li> <li><a href="https://www.youtube.com/watch?v=gY64DenZBM0&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=18">Open Leadership</a></li> <li><a href="https://www.youtube.com/watch?v=gY64DenZBM0&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=18">Persona and Pathways</a></li> <li><a href="https://www.youtube.com/watch?v=Mh3r7wZiDyI&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=20">Mountain of Engagements</a></li> <li><a href="https://www.youtube.com/watch?v=_mLXXyx6nyk&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=21">Inclusion can't be an afterthought</a></li> </ul> <p>They are also available on a <a href="https://www.youtube.com/watch?v=Zj8EWGq5Wkk&list=PL1CvC6Ez54KCcs99wV3eex1v5GUry6Yb7&index=1">playlist on YouTube</a>.</p> <p><strong>Contributing</strong> 💝</p> <p>We welcome all contributions to improve this project especially first-timers to expand the translation!</p> <p><strong>You don't need to know git to start contributing, we use <a href="https://crowdin.com/project/ols2">Crowdin localisation</a>, which enables you to translate strings of SRT files while watching the video and adding content to your translation. More details are added to <a href="https://github.com/open-life-science/ols2-cohort-talks-and-transcripts/blob/main/CONTRIBUTING%E2%80%8B.md">our Contribution Guide</a>.</strong></p>
A Collection of BRIRs for a Listener Wearing Different Types of Open Headphones
<p><strong>Introduction:</strong></p> <p>The following data set was collected to study the influence of several open headphone models on a real sound source.<br> This investigation was motivated by studies on augmented acoustic reality (AAR) scenarios. In AAR applications virtual sound sources are usually played back using binaural synthesis over headphones with the goal to blend in with the real acoustic environment. Due to the presence of headphones, additional scattering, resonance and shadowing effects are introduced to the real sound field. <br> The data set consists of binaural room impulse responses (BRIRs) measured with a KEMAR 45BA wearing different open headphone models. The measurements were carried out in the listening laboratory at the TU Ilmenau. Two distances (75cm and 200cm) and 92 angles (4° azimuthal resolution incl. 90° and 270°) were measured. Each configuration was measured three times with a repositioning of the headphones.</p> <p><strong>Important notes:</strong><br> - The mat-files contain the BRIR matrix with the dimensions samples-channels-angles<br> - The mat-files contain an angle vector for the corresponding azimuthal steps<br> - The head rotation angle runs clockwise</p> <p> </p> <p>The data set was presented at DAGA 21 [1].<br> A perceptual analysis using this data set can be found in [2].</p> <p> </p> <p><strong>References:</strong><br> [1] Schneiderwind, C., Neidhardt, A., "Data Set: A Collection of BRIRs for a Listener Wearing Different Types of Open Headphones", DAGA 2021, Wien, Austria, August 2021.<br> [2] Schneiderwind, C., Neidhardt, A., and Meyer, D., “Comparing the effect of different open headphone models on the<br> perception of a real sound source,” 150th AES Convention, Online, June 2021. </p>
Mini Talks/Videos about Open Science from OLS-1 Cohort
<p><strong>We aim to present important topics in Open Science (e.g. open Licence, open review, open access, open sources, agile, open protocols, ...) within 10-15 minutes videos with subtitles and translations. </strong></p> <p>All resources are cited from the <strong>Open Life Science (OLS-1) </strong>and available on <a href="https://www.youtube.com/channel/UCs12-ZgnDJOWIWN3Vo1XHXA">Open LifeSci YouTube channel</a>. This project was initiated by <a href="https://twitter.com/talarify?lang=en">Talarify</a> and <a href="https://twitter.com/OpenSciSaudi">Open Science Community in Saudi Arabia</a> to facilitate learning of Open science practices to <strong>novice learners</strong> and to make OLS videos and captions accessible, re-useable, and encourage further translation in other languages beyond English and Arabic.</p> <p><strong>Individual videos can be downloaded from the GitHub repository:</strong></p> <ul> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Open Life Sciences Introduction</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Open Canvas for Project Strategy</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Roadmapping for Open Projects: Open by design</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Project Structure: Open Licensing</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">README's for Open Projects</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Contributing Guidelines and Codes of Conduct for Open Projects</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Agile & Iterative Project Management Methods</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Open Science Hardware</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Open Software in Research</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Open Data in the Life Sciences</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Citizen Science using your own personal data</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Open Education and Training</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Preprints and open peer review</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Open Protocols: creating, editing, and getting credit for scientific methods</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Inclusion can't be an afterthought</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Mountain of engagement:Discovering pathways & patterns of engagement in your work</a></li> <li><a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main">Open Life Sciences Tools</a></li> </ul> <p>They are also available on <a href="https://www.youtube.com/watch?v=COEeFEEHpkc&list=PL1CvC6Ez54KCReA22ayb_1nbUTueJT_Cx">a playlist on YouTube</a>.</p> <p><strong>Contributing</strong> 💝</p> <p>We welcome all contributions to improve this project especially first-timers to expand the translation!</p> <p><strong>You don't need to know git to start contributing, we use <a href="https://crowdin.com/project/ols1">Crowdin localisation</a>, which enables you to translate strings of SRT files while watching the video and adding content to your translation. More details are added to our <a href="https://github.com/open-life-science/ols1-cohort-talks-and-transcripts/blob/main/CONTRIBUTING%E2%80%8B.md">Contribution Guide</a>.</strong></p> <p> </p>
ScienceDex guides
Understand access before you commit
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.