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8,537 results for “OpenITI”
MultiCaRe: An open-source clinical case dataset for medical image classification and multimodal AI applications
<p>The dataset contains multi-modal data from over 70,000 open access and de-identified case reports, including metadata, clinical cases, image captions and more than 130,000 images. Images and clinical cases belong to different medical specialties, such as oncology, cardiology, surgery and pathology. The structure of the dataset allows to easily map images with their corresponding article metadata, clinical case, captions and image labels. Details of the data structure can be found in the file data_dictionary.csv.</p> <p>More than 90,000 patients and 280,000 medical doctors and researchers were involved in the creation of the articles included in this dataset. The citation data of each article can be found in the metadata.parquet file.</p> <p>Refer to the examples showcased in this <a href="https://github.com/mauro-nievoff/MultiCaRe_Dataset">GitHub repository</a> to understand how to optimize the use of this dataset.<br><br>The license of the dataset as a whole is CC BY-NC-SA. However, its individual contents may have less restrictive license types (CC BY, CC BY-NC, CC0). For instance, regarding image filess, 66K of them are CC BY, 32K are CC BY-NC-SA, 32K are CC BY-NC, and 20 of them are CC0.</p>
LEAD Madrid Living Lab Open Data
<p>December 2021 to May 2023 monthly list of all services used to conduct daily route optimization, calculate energy consumption, and calculate environmental KPIs in the project.</p>
C2D2: An Open-Source, Pan-European, Harmonised Crop Development Database for Use in Regulatory Pesticide Exposure Modelling and Risk Assessment.
<p>There is a regulatory need for crop development dates to assess current default values used within chemical exposure assessments as well as to justify refinements within risk assessments. However, a readily available pan-European crop phenology database covering key FOCUS (FOrum for the Co-ordination of pesticide fate models and their USe) crops and scenarios to meet this need is not currently available. Therefore, we describe the development of a harmonised, pan-European, CropLife Europe Crop Development Database, C2D2, that is fully aligned with this regulatory requirement utilising efficacy trials data generated for regulatory submissions when registering plant protection products under Regulation (EU) 1107/2009. Evaluation of C2D2 against an independent dataset showed good agreement for equivalent time periods, crop growth stages and geographical regions. We illustrate how this database can be used to evaluate existing default crop development dates mandated by regulatory agencies for use within exposure assessments. Despite the large dataset compiled and the geographical coverage of C2D2, not all FOCUSsw/gw scenarios have sufficient data to facilitate comparison, with less significant scenarios, like FOCUSgw Porto, being under-represented. For those scenarios with sufficient data, clear differences between C2D2 and crop development dates assumed in the FOCUS modelling framework (using the AppDate tool) are often indicated over some/many growth stages suggesting that amendment of the existing representation of crop development within the risk assessment process may be required. C2D2 is freely available under a Creative Commons licence to facilitate innovation in exposure science to allow for more accurate and realistic risk assessment leading to enhanced crop and environmental protection.</p>
pofatu/pofatu-data: Pofatu, a curated and open-access database for geochemical sourcing of archaeological materials
<p>Geochemical fingerprinting of artefacts and sources has proven to be the most effective way to use material evidence in order to reconstruct strategies of raw material procurement, exchange systems, and mobility patterns among past societies. In order to facilitate access to this growing body of data and to promote comparability and reproducibility in provenance studies, we designed Pofatu, the first online and open-access database presenting geochemical compositions and contextual information for archaeological sources and artefacts.</p> <p>The data repository includes a compilation of geochemical data and supporting analytical metadata, as well as the archaeological provenance and context for each sample. All information on Samples related to sources and artefacts can be accessed on this platform or downloaded from Zenodo or GitHub.</p> <p>While most prehistoric quarries and surface procurement sources used in the past have yet to be identified, provenance studies must also integrate wide and reliable geological data. For this reason, we advise Pofatu users to also consult other open-access repositories focusing specifically on geological samples, such as GeoRoc and EarthChem.</p>
National Open Access Monitor Survey: Organisational Identity: Responses Dataset
<p>This dataset contains the response data from the 'National Open Access Monitor Survey: Organisational Identity which was carried out between 9th October and 9th November 2023 under the National Open Access Monitor Project: <a href="https://zenodo.org/doi/10.5281/zenodo.8420404">https://zenodo.org/doi/10.5281/zenodo.8420404</a></p><p><strong>This survey was run to:</strong></p><ul><li>compile a complete list of Irish research performing organisations (RPO) and research funding organisations (RFO) to be represented by the National Open Access Monitor.</li><li>ensure each organisation/entity is categorised correctly as an RPO or an RFO (or both), as applicable.</li><li>identify if an organisation/entity is publicly funded.</li><li>identify formally affiliated organisations/entities where <strong>all </strong>research outputs of one organisation/entity should also be included in the research outputs of another organisation/entity.</li><li>capture the persistent identifiers for RPOs, RFOs and publishers, to enable identification of relevant research outputs for the National Open Access Monitor.</li></ul><p><strong>To note: </strong></p><ul><li>Respondents' email addresses have been redacted.</li><li>Responses have been pseudonymised to the level of stakeholder-group e.g. Contributor A, Research Funding Organisation A, where requested by the participant in the participant consent form: <a href="https://doi.org/10.5281/zenodo.7589770">https://doi.org/10.5281/zenodo.7589770</a>.</li><li>Respondents were notified of the limits of pseudonymisation for this survey. Due to the nature and purpose of this survey on Organisational Identity, the identity of the organisation/entity could not be pseudonymised. Participants were advised only to participate if they were happy to do so under these conditions.</li><li>Survey responses were deleted by request of certain respondents. These responses are not included in these files.</li><li>Survey respondents were enabled to update their submissions. These changes are captured in the <i>NationalOpenAccessMonitorSurvey.OrganisationalIdentity.MasterChangeFile.</i></li></ul><p><strong>There are four files within in this dataset:</strong></p><p>- <i>Results.NationalOpenAccessMonitorSurvey.OrganisationalIdentity.README - </i>this PDF details the changes made to the raw data, as specified in the bullet points above and a description of the files within the dataset.</p><p>- <i>Results.NationalOpenAccessMonitorSurvey.OrganisationalIdentity.Pseudonymised.101123</i> - this is the original raw data, in csv format, as downloaded from the Online Surveys platform and subsequently pseudonymised and redacted.</p><p>- <i>NationalOpenAccessMonitorSurvey.OrganisationalIdentity.MasterChangeFile.101123 </i>- this is a change file, in csv format, which documents the changes which participants requested to be made to their submissions after they were received.</p><p>- R<i>esults.NationalOpenAccessMonitorSurvey.OrganisationalIdentity.Pseudonymised.Updated.101123 - </i>this is the original raw data, pseudonymised and redacted, with the requested changes implemented.</p><p><strong>Notes for data use:</strong></p><ul><li>The "affiliated organisations/entities" section of the survey was insufficiently described in the survey text. One-to-one follow-up and support was provided to clarify to respondents that questions 12 and 13 of the survey intended to identify where <strong>all </strong>research outputs of one organisation/entity should appear on that organisation's/entities' own RPO or RFO dashboard within the National Open Access Monitor, and <strong>also </strong>on the dashboard of another organisation/entity. </li><li>Survey respondents were notified in the introduction section to the "affiliated organisations/entities" section that "<strong>only where all entities agree there is a formal relationship in place</strong> that should be reflected in the Monitor will the link be implemented". Therefore, for the National Open Access Monitor project, only where both parties have asserted that <strong>all </strong>research outputs of one organisation/entity should also appear on the dashboard of another organisation/entity, will it be considered validated and implemented. </li><li>The geographic scope of the National Open Access Monitor Project is the Republic of Ireland. Where respondent's RPO or RFO organisations/entities are based outside the Republic of Ireland, or where respondents stated affiliations with overseas organisations/entities, they will not be actioned or implemented. To note: the survey invited responses from international <i>publishers</i> to enable filtering functionality by publisher within the National Open Access Monitor, these responses are <i>not </i>out of scope. </li></ul><p>-----------------------</p><p>The context for the survey is detailed in the National Open Access Monitor Project Plan: <a href="https://doi.org/10.5281/zenodo.7331431">https://doi.org/10.5281/zenodo.7331431</a>, the National Open Access Monitor Advisory Group Meeting Minutes, 18th September 2023: <a href="https://zenodo.org/doi/10.5281/zenodo.8405472">https://zenodo.org/doi/10.5281/zenodo.8405472</a> and the Developing the National Open Access Monitor, Ireland: Stakeholder Webinar, 22nd September 2023: <a href="https://zenodo.org/doi/10.5281/zenodo.8370578">https://zenodo.org/doi/10.5281/zenodo.8370578.</a></p><p>This project is managed by <a href="http://www.irel.ie/">IReL </a>and has received funding from Ireland's National Open Research Forum under the NORF Open Research Fund. <a href="https://norf.ie/funding/">https://norf.ie/funding/ </a><a href="https://norf.ie/orf-projects-announcement/">https://norf.ie/orf-projects-announcement/</a></p>
Closed and Open Eyes EEG Data
<p>Seven volunteers agreed to participate in the study. Their mean age was 29.67 years (range 24 – 56 years). The participants indicated that they did not have hearing or visual impairments. </p><p>Gold cup electrodes were O1 and O2 placed following the 10-20 International System for electrode placement and attached to the subject scalp using a conductive paste. Electrode-skin impedances were checked to be below 15 kΩ at all electrodes. The reference and ground electrodes were placed in the Fp2 and A2 positions, respectively, where the absence of hair facilitates their placement, thus optimizing the setup time and EEG signal quality. </p><p>The signals were captured using the hardware presented in [1], and the signal processing algorithms were executed on a PC using Matlab, allowing us to repeat the simulations offline with different parameters.</p><p>During the experimental sessions, the signals from the two channels were recorded for a total duration of 10 minutes per participant. Specifically, the recording process involved 60 seconds of signal acquisition while the participant had their eyes open, followed by another 60 seconds of signal acquisition while the participant had their eyes closed. To indicate the transition between the two eye states, a sound alert was played for the participant. Once the electrodes had been placed and the impedance checked to be below 15 kΩ, the recordings started without individual calibration for any of the participants. All the experiments were conducted in a sound-attenuated and controlled environment. Participants were seated in a comfortable chair and asked to be relaxed and focused on the task, trying to avoid any distractions or external stimuli. To mimic real-life conditions, the participants were allowed to freely move their gaze during the eye-open tasks, without the requirement of maintaining fixation on a specific point. To reduce possible artifacts, participants were asked not to move or speak during the experiments. After each recording session, data for each subject were visually inspected and the recording was repeated if any of them was corrupted by a high level of noise or artifacts.</p><p>Data is organized in a folder for each subject (S1, S2, S3, etc.). Inside each subject folder, another folder named 'PP' contains the EEG recordings in a .csv file. </p><p>Each .csv file contains 3 columns: timestamp, O1 channel and O2 channel.</p><p> </p><p>[1] Laport F, Dapena A, Castro PM, Iglesias DI, Vazquez-Araujo FJ. Eye State Detection Using Frequency Features from 1 or 2-Channel EEG. Int J Neural Syst. 2023 Dec;33(12):2350062. doi: 10.1142/S0129065723500624. Epub 2023 Oct 12. PMID: 37822240</p>
Towards an open pipeline for the detection of Critical Infrastructure from satellite imagery – A case study on electrical substations in The Netherlands
<p><strong>Abstract.</strong> Critical infrastructure (CI) are at risk of failure due to the increased frequency and magnitude of climate extremes related to climate change. It is thus essential to include them in a risk management framework to identify risk hotspots, develop risk management policies and support adaptation strategies to enhance their resilience. However, the lack of information on the exposure of CI prevents their incorporation in large-scale risk assessment studies. This study sets out to improve the representation of CI for risk assessment studies by building a neural network model to detect CI assets from optical remote sensing imagery. We present a pipeline that extracts CI from OpenStreetMaps, processes the imagery and assets' masks, and trains a Mask R-CNN model that allows for instance segmentation of CI at the asset level. This study provides an overview of the pipeline and tests it with the detection of electrical substations assets in the Netherlands. Several experiments are presented for different under-sampling percentages of the majority class (25%, 50% and 100%) and hyperparameters settings (batch size and learning rate). The best metrics achieved are an Average Precision at an Intersection over Union of 50% of 30.93 and a tile F-score of 89.88%. This allows us to confirm the feasibility of the method and invite disaster risk researchers to use this pipeline for other infrastructure types. We conclude by exploring the different avenues to improve the pipeline by addressing the class imbalance, Transfer Learning and Explainable AI.</p>
Identifying patterns and recommendations of and for sustainable open data initiatives: a benchmarking-driven analysis of open government data initiatives among European countries
<p>This dataset contains data collected during a study <a href="https://www.sciencedirect.com/science/article/pii/S0740624X23000989"><em><strong>"Identifying patterns and recommendations of and for sustainable open data initiatives: a benchmarking-driven analysis of open government data initiatives among European countries"</strong></em></a> conducted by <em>Martin Lnenicka (University of Pardubice, Pardubice, Czech Republic), Anastasija Nikiforova (University of Tartu, Tartu, Estonia), Mariusz Luterek (University of Warsaw, Warsaw, Poland), Petar Milic (University of Pristina - Kosovska Mitrovica, Kosovska Mitrovica, Serbia), Daniel Rudmark (University of Gothenburg and RISE Research Institutes of Sweden, Gothenburg, Sweden), Sebastian Neumaier (St. Pölten University of Applied Sciences, Austria), Caterina Santoro (KU Leuven, Leuven, Belgium), Cesar Casiano Flores (University of Twente, Twente, the Netherlands), Marijn Janssen (Delft University of Technology, Delft, the Netherlands), Manuel Pedro Rodríguez Bolívar (University of Granada, Granada, Spain).</em></p> <p>It is being made public both to act as supplementary data for "<em>Identifying patterns and recommendations of and for sustainable open data initiatives: a benchmarking-driven analysis of open government data initiatives among European countries</em>", Government Information Quarterly*, and in order for other researchers to use these data in their own work. </p> <p>***Methodology***</p> <p>The paper focuses on benchmarking of open data initiatives over the years and attempts to identify patterns observed among European countries that could lead to disparities in the development, growth, and sustainability of open data ecosystems. </p> <p>This study examines existing benchmarks, indices, and rankings of open (government) data initiatives to find the contexts by which these initiatives are shaped, both of which then outline a protocol to determine the patterns. The composite benchmarks-driven analytical protocol is used as an instrument to examine the understanding, effects, and expert opinions concerning the development patterns and current state of open data ecosystems implemented in eight European countries - Austria, Belgium, Czech Republic, Italy, Latvia, Poland, Serbia, Sweden. 3-round Delphi method is applied to identify, reach a consensus, and validate the observed development patterns and their effects that could lead to disparities and divides. Specifically, this study conducts a comparative analysis of different patterns of open (government) data initiatives and their effects in the eight selected countries using six open data benchmarks, two e-government reports (57 editions in total), and other relevant resources, covering the period of 2013–2022.</p> <p>***Description of the data in this data set***</p> <p>The file "OpenDataIndex_<em>2013_</em>2022" collects an overview of 27 editions of 6 open data indices - for all countries they cover, providing respective ranks and values for these countries. These indices are:</p> <p>1) Global Open Data Index (GODI) (4 editions)</p> <p>2) Open Data Maturity Report (ODMR) (8 editions)</p> <p>3) Open Data Inventory (ODIN) (6 editions)</p> <p>4) Open Data Barometer (ODB) (5 editions)</p> <p>5) Open, Useful and Re-usable data (OURdata) Index (3 editions)</p> <p>6) Open Government Development Index (OGDI) (2 editions)</p> <p>These data shapes the third context - open data indices and rankings. The second sheet of this file covers countries covered by this study, namely, Austria, Belgium, Czech Republic, Italy, Latvia, Poland, Serbia, Sweden. It serves the basis for Section 4.2 of the paper.</p> <p>Based on the analysis of selected countries, incl. the analysis of their specifics and performance over the years in the indices and benchmarks, covering 57 editions of OGD-oriented reports and indices and e-government-related reports (2013-2022) that shaped a protocol (see paper, Annex 1), 102 patterns that may lead to disparities and divides in the development and benchmarking of ODEs were identified, which after the assessment by expert panel were reduced to a final number of 94 patterns representing four contexts, from which the recommendations defined in the paper were obtained. These patterns are available in the file "OGDdevelopmentPatterns". The first sheet contains the list of patterns, while the second sheet - the list of patterns and their effect as assessed by expert panel.</p> <p>***Format of the file***<br>.xls, .csv (for the first spreadsheet only)</p> <p>***Licenses or restrictions***<br>CC-BY</p> <p> </p> <p>For more info, see README.txt<br> </p>
National Open Access Monitor, Draft Report: Stakeholder Feedback: Response Dataset
<p>This dataset contains the response data from the 'National Open Access Monitor, Draft Report: Stakeholder Feedback' Form which was open from 16th to 30th November 2023 under the National Open Access Monitor Project. A PDF reference copy of the Feedback Form is available here: <a href="https://zenodo.org/doi/10.5281/zenodo.10141988">https://zenodo.org/doi/10.5281/zenodo.10141988</a></p><p>The purpose of the form was to capture stakeholder feedback on the National Open Access Monitor, Ireland Draft Report, for actioning by OpenAIRE in the final National Open Access Monitor Report to be delivered in January 2024. The draft is an interim report, and includes reference to the initial feedback from IReL and the National Open Access Monitor Project Advisory Group.</p><p><strong>To note: </strong></p><ul><li>Responses have been pseudonymised to the level of stakeholder-group e.g. Contributor I, Research Performing Organisation I, where requested by the participant in the participant consent form: <a href="https://doi.org/10.5281/zenodo.7589770">https://doi.org/10.5281/zenodo.7589770</a></li><li>This is the original raw data file, in csv format, as downloaded from the Online Surveys platform and subsequently pseudonymised.</li></ul><p>-----------------------</p><p>The context for the feedback form is detailed in the National Open Access Monitor Project Plan: <a href="https://doi.org/10.5281/zenodo.7331431">https://doi.org/10.5281/zenodo.7331431</a>, the National Open Access Monitor Advisory Group Meeting Minutes, 27th October 2023: <a href="https://zenodo.org/doi/10.5281/zenodo.10105023 ">https://zenodo.org/doi/10.5281/zenodo.10105023 </a>and the OpenAIRE National Open Access Monitor Ireland, Draft Report: <a href="https://zenodo.org/doi/10.5281/zenodo.10136295">https://zenodo.org/doi/10.5281/zenodo.10136295</a></p><p>This project is managed by <a href="http://www.irel.ie/">IReL </a>and has received funding from Ireland's National Open Research Forum under the NORF Open Research Fund. <a href="https://norf.ie/funding/">https://norf.ie/funding/ </a><a href="https://norf.ie/orf-projects-announcement/">https://norf.ie/orf-projects-announcement/</a></p>
Open Research Skills Workshops - GitHub basics
<p>This is the third workshop on GitHub basics<strong> </strong>in a series of workshop about Open Research Skills.</p><p>This workshop covers:</p><p><strong>-</strong> Introduction to Github and its uses</p><p>- Demonstration on using GitHub <strong> </strong></p><p>- Basic repo set up and editing</p><p><strong>List of training workshops in Open Research Skills:</strong></p><ul><li>24th February 2023 - Open access publishing</li><li>24th March 2023 - Using repositories</li><li><strong>21st April 2023 - GitHub basics</strong></li><li>28th April 2023 - GitHub collaborative workflows</li><li>26th May 2023 - Standard vocabularies and ontologies</li><li>30th June 2023 - FAIR data</li></ul><p><strong>Project overview:</strong></p><p>Our project aims to upskill participants in open research skills to increase the quality and reusability of phytolith research and related disciplines such as archaeology, palaeosciences and plant sciences. We will run six hands-on training workshops on open access publishing and research outputs, using repositories, ontologies and standard vocabularies, implementation of FAIR Guidelines for phytolith research, and two workshops on Github basic and advanced skills. The materials from all workshops will be archived as self-study courses on our website (<a href="https://open-phytoliths.netlify.app/">https://open-phytoliths.netlify.app/</a>). We will also provide translation during workshops and training materials into multiple languages. </p><p>This video is a basic course in Github. Github is a tool that is used for research project management and history tracking of your work during projects. It can be used to store and collaborate during projects with data, code and documentation. It covers the basic web interface of Github and how to make repositories, add files and folders. It will also include some examples of uses of Github.</p>
Open Research Skills Workshops - GitHub collaborative workflows
<p>This is the fourth workshop on GitHub collaborative workflows in a series of workshop about Open Research Skills.</p><p>This workshop covers:</p><p>- Introduction to version control</p><p>- How to fork a repository</p><p>- Forking exercises</p><p>- How to work in a team and create and merge branches</p><p>- Branching exercises</p><p><strong>List of training workshops in Open Research Skills:</strong></p><ul><li>24th February 2023 - Open access publishing</li><li>24th March 2023 - Using repositories</li><li>21st April 2023 - GitHub basics</li><li><strong>28th April 2023 - GitHub collaborative workflows</strong></li><li>26th May 2023 - Standard vocabularies and ontologies</li><li>30th June 2023 - FAIR data</li></ul><p><strong>Project overview:</strong></p><p>Our project aims to upskill participants in open research skills to increase the quality and reusability of phytolith research and related disciplines such as archaeology, palaeosciences and plant sciences. We will run six hands-on training workshops on open access publishing and research outputs, using repositories, ontologies and standard vocabularies, implementation of FAIR Guidelines for phytolith research, and two workshops on Github basic and advanced skills. The materials from all workshops will be archived as self-study courses on our website (<a href="https://open-phytoliths.netlify.app/">https://open-phytoliths.netlify.app/</a>). We will also provide translation during workshops and training materials into multiple languages. </p><p>Github is a collaborative, project management tool used to run reproducible research projects with version control. In these videos, you will learn how to use version control, how to branch and fork a repository, how to pull a request and how to collaborate as part of a team on GitHub.</p>
Open Dutch Wordnet v1.3
<p>Dutch version of <a href="https://wordnet.princeton.edu/">WordNet</a></p><p>More information about the project: <a href="http://www.cltl.nl/projects/current-projects/opensourcewordnet/">http://www.cltl.nl/projects/current-projects/opensourcewordnet/</a></p><p>Authors and main associated publication:</p><p>@InProceedings{Postma:Miltenburg:Segers:Schoen:Vossen:2016, author = "Marten Postma and Emiel van Miltenburg and Roxane Segers and Anneleen Schoen and Piek Vossen", title = "Open {Dutch} {WordNet}", booktitle = "Proceedings of the Eight Global Wordnet Conference", year = 2016, address = "Bucharest, Romania", }</p>
RAYUELA - Open Data - Data collected through a serious game created to identify patterns and profiles of young potential victims/perpetrators of cybercrimes.
<p>The data of this dataset have been collected in the pilots carried out by the RAYUELA project in different countries of the European Union. The participants are minors and the game sessions have been carried out in schools and summer camps in a supervised way.</p>
Results from the OnStove Nepal model "Achieving Nepal's clean cooking ambitions: an open source and geospatial cost–benefit analysis"
<p>This repository includes all result datasets and figures from the <a href="https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove-Nepal">OnStove Nepal</a> model presented in the paper "<strong>Achieving Nepal's clean cooking ambitions: an open source and geospatial cost–benefit analysis</strong>" DOI: <a href="https://doi.org/10.1016/S2542-5196(24)00209-2">https://doi.org/10.1016/S2542-5196(24)00209-2</a>.</p> <p>The code and automated workflow to run the model can be found in the Github repository <a href="https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove-Nepal">https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove-Nepal</a>. All model input data can be downloaded from the permanent repository at<em> </em><a href="https://doi.org/10.5281/zenodo.10641858">10.5281/zenodo.10641858</a>.</p> <h2>Folder structure</h2> <p>The folder structure consists of a <strong>Procedded GIS Data </strong>folder containing all GIS processed data. These are the outputs from the <strong>DataProcessor.ipynb </strong>script and the raw GIS input data files found in the input data repository.</p> <p>A folder for <strong>each scenario</strong> results. Within each scenario folder, there are:</p> <ul> <li>A <strong>model.pkl </strong>and a <strong>results.pkl </strong>files. These are a calibrated OnStove model with the scenario inputs and a complete results model file of the scenario respectively. Both of these files can be read and explored using the OnStove tool. </li> <li>A <strong>summary.csv </strong>file with the summary results of the scenario for each technology.</li> <li>A <strong>Subsidies_scenario_name.csv </strong>file showing the required total subsidies per technology of the scenario.</li> <li>Image files in pdf format for: <ul> <li>The baseline technologies used in the country (<strong>current_shares.pdf</strong>),</li> <li>The spatial mix of technologies providing the maximum net-benefits throughout the country (<strong>max_benefit_tech.pdf</strong>), </li> <li>The total costs and benefits of the transition per technology (<strong>costs_benefits.pdf</strong>),</li> <li>The bar plot of max benefit technology shares (<strong>tech_split.pdf</strong>),</li> <li>The max benefit technologies distribution over relative wealth in the country (<strong>tech_histogram.pdf</strong>),</li> </ul> </li> <li>A <strong>Rasters </strong>folder with raster files of different result maps in .tif format.</li> </ul> <p>Inside the <strong>MCA </strong>folder, all results from the prioritization analysis are found, including:</p> <ul> <li>The prioritized spatial technology mix to achieve the goals of the country (<strong>Prioritized_hh.pdf</strong>),</li> <li>The biogas cookstoves relative wealth distribution index (<strong>Biogas_index.pdf</strong>),</li> <li>The biomass ICS T3 cookstoves relative wealth distribution index (<strong>Biomass_ICS_T3_index.pdf</strong>),</li> <li>The electrical cookstoves relative wealth distribution index (<strong>Electricity_index.pdf</strong>),</li> <li>The biogas cookstoves priority map (<strong>Biogas_priority_areas.pdf</strong>),</li> <li>The biomass ICS T3 cookstoves priority map (<strong>Biomass_ICS_T3_priority_areas.pdf</strong>),</li> <li>The electrical cookstoves priority map (<strong>Electricity_priority_areas.pdf</strong>),</li> <li>The total costs and benefits of the transition per technology (<strong>costs_benefits.pdf</strong>),</li> <li>The prioritized technology shares distribution over relative wealth in the country (<strong>tech_histogram_prioritized.pdf</strong>),</li> <li>A <strong>Subsidies_prioritized.csv </strong>file showing the required total subsidies per technology,</li> <li>A <strong>mca.pkl </strong>file with the MCA model that can be manipulated using the OnStove tool,</li> <li>A <strong>access_results.txt </strong>file with the current and after prioritization clean cooking access shares in the country.</li> </ul> <p>A <strong>main_plot.pdf </strong>and a <strong>prioritized_plot.pdf </strong>files showing the compiled results for all scenarios and prioritized scenario respectively.</p> <h2>License</h2> <p>All datasets are released under the <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a> (CC BY 4.0).</p>
Micro and Macro Open Science Perspective Taxonomy
<h1>Micro and Macro Open Science (OS) Perspective Taxonomy</h1> <h2>Micro OS Perspective</h2> <p>Taxonomy related to terminologies and knowledge around the practice (workflow) of the OS knowledge generator (e.g., researcher), based on reading by <a title="Taxonomia da Ciência Aberta: revisada e ampliada" href="https://doi.org/10.5007/1518-2924.2023.e91712" target="_blank" rel="noopener">Silveira et al. (2023)</a> and <a title="UNESCO Recommendation on Open Science" href="https://unesdoc.unesco.org/ark:/48223/pf0000379949" target="_blank" rel="noopener">UNESCO (2021)</a>.</p> <h2>Macro OS Perspective</h2> <p>Taxonomy related to the conceptual ramifications of OS concerning (public) policies, infrastructure, open involvement of social actors (society) and open dialogue with other knowledge systems, based on reading by <a title="Taxonomia da Ciência Aberta: revisada e ampliada" href="https://doi.org/10.5007/1518-2924.2023.e91712" target="_blank" rel="noopener">Silveira et al. (2023)</a> and <a title="UNESCO Recommendation on Open Science" href="https://unesdoc.unesco.org/ark:/48223/pf0000379949" target="_blank" rel="noopener">UNESCO (2021)</a>.</p> <h3>Instructions:</h3> <ul> <li>There is nothing new in this repository. This is just the taxonomy revised and expanded by <a title="Taxonomia da Ciência Aberta: revisada e ampliada" href="https://doi.org/10.5007/1518-2924.2023.e91712" target="_blank" rel="noopener">Silveira et al. (2023)</a> segregated into two perspectives: Micro and Macro;</li> <li>The reason for this segregation was to document the terminologies and knowledge surrounding the practice (workflow) of OS, which from an individual (micro) point of view, is most interest to the researcher;</li> <li>These two concepts are presented in the form of a mindmap in English and Portuguese (four .png files);</li> <li>If the user wishes to develop another mindmap, with another theme and/or colors, or another flowchart, there are also eight *.txt files with the markdown and memaid hierarchies.</li> </ul>
FOPPA: A database of French Open Public Procurement Award notices
<p>The FOPPA database (French Open Public Procurement Award notices) is a database constituted in the framework of the ANR DeCoMaP project (ANR-19-CE38-0004). It contains public procurement notices published in France from 2010 to 2020. It relies on a subset of the TED database. These data have a number of issues, the most serious being that the unique ID of most involved agents are missing. We performed a number of operations to solve these issues and obtain a usable database. These operations and their outcomes are described in detail in the following technical report:</p> <p>L. Potin, V. Labatut, R. Figueiredo, C. Largeron & P. H. Morand. <em>FOPPA: A database of French Open Public Procurement Award notices</em>, Technical Report, Avignon Université, 2022. ⟨<a href="https://hal.archives-ouvertes.fr/hal-03796734">hal-03796734</a>⟩</p> <p>The report also describes the database itself. </p> <p> </p> <p><strong>Source code: </strong>The source code implementing these operations is publicly available as a GitHub repository:</p> <p><a href="https://github.com/CompNet/FoppaInit/releases/tag/v1.0.3">https://github.com/CompNet/FoppaInit/releases/tag/v1.0.3</a></p> <p> </p> <p><strong>Cite as: </strong>If you use these data or the associated source code, please cite the following article :</p> <p>Potin, L.; Labatut, V.; Morand, P.-H. & Largeron, C. <em>FOPPA: an Open Database of French Public Procurement Award Notices From 2010-2020</em>. Scientific Data 10:303<em>, </em>2023<em>. </em>DOI: <a href="http://doi.org/10.1038/s41597-023-02213-z">10.1038/s41597-023-02213-z</a> <em> </em>⟨<a href="https://hal.archives-ouvertes.fr/hal-04101350">hal-04101350</a>⟩</p> <p><br><code>@Article{Potin2023,</code><br><code> author = {Potin, Lucas and Labatut, Vincent and Morand, Pierre-Henri and Largeron, Christine},</code><br><code> title = {{FOPPA}: an Open Database of French Public Procurement Award Notices From 2010-2020},</code><br><code> journal = {Scientific Data},</code><br><code> year = {2023},</code><br><code> volume = {10},</code><br><code> pages = {303},</code><br><code> doi = {10.1038/s41597-023-02213-z},</code><br><code>}</code></p>
Open Education in European Libraries of Higher Education 2023 Dataset
<p>This is the dataset that appends the 2023 edition of the SPARC Europe Open Education Survey amongst Higher Education institutions in Europe, in consultation with the European Network of Open Education Librarians (ENOEL). The report is for policymakers and practitioners who support or intend to support OE and OER in higher education institutions and academic libraries. </p>
Video 1 - Open Science, why do we need it?
<p>Interview with York Sure-Vetter, Director of NFDI, Germany and Professor at Karlsruhe Institute of Technology; Eva Maria Méndez, PhD in Library and Information Science; Joaquín Tintoré, Professor of Physical Oceanography; Michael Arentoft, Head of Unit, Open Science, DG R&I, European Commission; and Iryna Kuchma, Open Access Programme Manager for EIFL on the necessity of funding Open Science infrastructure and Open Science in general in order to accelerate the shift towards more openness and higher quality in science.</p> <p>Open Science is an attitude of collaboration, transparency, and equitability. SOCIB is one research organisation which makes research data available, which in turn triggers a new understanding in oceanography and allows for faster responses to societal needs. Funding Open Science means funding higher quality, faster, and more impactful science. Funders can also fund Open Science infrastructure to facilitate the shift to Open Science.</p>
Video 4 - Open Science: equitable access for everyone.
<p>An interview about the necessity of funding Open Science platforms as a means of achieving equitable science with Iryna Kuchma, Open Access Programme Manager for EIFL; Ana María Cetto, Professor of Physics at Universidad Nacional Autónoma de México; Yensi Flores, Postdoctoral researcher at the Cancer Research Centre, University College Cork; and <span>Bregt Saenen, Senior Policy Officer for Open Science at Science Europe</span>.<br><br></p> <p><span>Science is a global enterprise targeting global problems – limiting access to science defeats this purpose. Open Science platforms are necessary for researchers from all countries and organizations to be able to participate in the global scientific effort. Funding bodies can support Open Science platforms as a way of ensuring equitable and trustworthy science. </span></p> <p> </p>
Video 6 - Open Science: science for and with citizens.
<p><span>An interview on Open Science funding with Ignasi Labastida, director of the Office for the Dissemination of Knowledge, University of Barcelona; Bregt Saenen, Senior Policy Officer for Open Science at Science Europe; Victoria Tsoukala, Policy Officer – Open Science at the European Commissions, DG-Reearch and Innovation; and Sumithra Vellupilai, Senior Research Officer at the Swedish Research Council.</span></p> <p><span>Universities should fund Open Science as a means of sharing knowledge, and as a means of providing tools for all of society to access knowledge. All parts of society should be able to benefit from the knowledge produced through the scientific process. Making openness the norm is a way for including society’s stakeholders in the research process. This level of openness and transparency requires funding infrastructure for sharing articles, data and other research results.</span></p> <p><span> </span></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.