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8,537 results for “Openness”
Open datasets used in the analysis of impact of European Union Funding Programmes (Framework Programmes).
<p>This repository will hold datasets used in the various analysis on results, achievements and impact of European Union Funding Programmes (Framework Programmes:, FP). It supports the objective of using openly available dataset to study the results of the FP funding.</p> <p>The repository will be periodically updated with new datasets and links to the analysis.</p> <p><strong>Disclaimer:</strong></p> <p><em>The views expressed in this paper are the author’s. They do not reflect the views or official positions of the European Commission or the European Research Council.</em></p> <p> </p> <p><strong>List of datasets included :</strong></p> <p>1. dataset for the analysis: <a href="https://data.europa.eu/doi/10.2777/235579">Contribution of the Framework Programmes to IPCC: Insights from the References of IPCC Reports</a><em><strong> </strong></em></p> <p> The analysis is an update of an earlier report titled <em><strong><a href="https://data.europa.eu/doi/10.2777/928125">Informing global climate action: Contribution of the Framework Programmes (FP7 and H2020) to recent IPCC reports</a></strong></em></p> <p>the dataset is provided in json_l format </p> <p> </p>
KeyNet: An Open Source Dataset of Key Bittings
<p>This repository introduces a dataset of obverse and reverse images of 319 unique Schlage SC1 keys, labeled with each key's bitting code. </p> <p>We make our data accessible in an HDF5 format, through arrays aligned where the Nth index of each array represents the Nth key, with keys sorted ascending by bitting code:</p> <ul> <li><code>/bittings</code>: Each keys 1-9 bitting code, recorded from shoulder through the tip of the key, <code>uint8</code> of shape (319,5).</li> <li><code>/obverse</code>: Obverse image of each key, <code>uint8</code> of shape (319,512,512,3).</li> <li><code>/reverse</code>: Reverse image of each key, <code>uint8</code> of shape (319,512,512,3).</li> </ul> <p>Full dataset details available on <a href="https://github.com/alexxke/keynet">GitHub</a></p>
TRANSFORM final conference: RRI and citizen engagement to open up regional R&I policymaking
<p>Three regions, three different approaches testing citizen and stakeholder engagement in regional R&I policy making... TRANSFORM partners from three regions - Catalonia, Brussels-Capital and Lombardy on their experiences, activities and impact beyond the project. The video was filmed during the TRANSFORM Final Conference which took place on 1 and 2 December in a hybrid format in Miland and online via Zoom. An opportunity to share project results and outcomes, learn and exchange with the RRI community.</p> <p>This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 872687. This video reflects only the authors' view. The European Research Executive Agency (REA) and the European Commission are not responsible for any use that may be made of the information it contains.</p>
National Open Access Monitor Survey: Defining Requirements: Responses Dataset
<p>This dataset contains the response data from the ‘National Open Access Monitor Survey: Defining Requirements’ which was carried out between February 2-28th 2023 under the National Open Access Monitor Project: <a href="https://doi.org/10.5281/zenodo.7588787">https://doi.org/10.5281/zenodo.7588787</a></p> <p>To note: </p> <ul> <li>Email addresses have been redacted. </li> <li>Responses have been pseudonymised to the level of stakeholder-group e.g. Contributor 1, Research Funding Organisation #, 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>Detail within responses by individuals who requested pseudonymisation, which might identify the individual or the organisation has been removed and marked "[redacted]".</li> <li>Responses by individuals who did not provide a signed consent form in advance of contributing to the survey were deleted immediately on receipt, as advised in the survey text: <a href="https://doi.org/10.5281/zenodo.7588787">https://doi.org/10.5281/zenodo.7588787</a>. Such responses are not included in these files.</li> </ul> <p>There are five files within in this dataset:</p> <p>- <em>Results.NationalOpenAccessMonitorSurvey.DefiningRequirements.README - </em>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>- <em>Results.NationalOpenAccessMonitorSurvey.DefiningRequirements.Pseudonymised.100323</em> - this is the original raw data, in csv format, as downloaded from the Online Surveys platform and subsequently pseudonymised and redacted.</p> <p>- <em>NationalOpenAccessMonitor.DefiningRequirements.Contributor3Government1.270223 - </em>this PDF file contains a single pseudonymised stakeholder response to the survey, obtained by the Project Manager by email and not through the Online Surveys platform.</p> <p>- <em>NationalOpenAccessMonitorSurvey.MasterChangeFile.080323 </em>- 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 and the survey was closed.</p> <p>- <em>Results.NationalOpenAccessMonitorSurvey.DefiningRequirements.Pseudonymised.Updated.100323 - </em>this is the original raw data, pseudonymised and redacted, with the requested changes implemented. This is the file on which analysis was carried out for the purposes of the <a href="http://doi.org/10.5281/zenodo.7822367">survey outcome report</a> and the resulting National Open Access Monitor tender documents. </p> <p>------------------------</p> <p>The context for the survey files 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></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>
ArchaeoloGIS Open Dataset
<p>“ARCHAEOLOGIS” A QGIS PROCESSING TOOLBOX<br> FOR ARCHAEOLOGISTS’ SPATIAL ANALYSIS</p> <p>License and Copyright:<br> Dataset for exercise and workshop distributed under CC BY-NC-SA 4.0 license. Cite the author and the name of the project. Paolo Rosati, ArchaeoloGIS dataset, 2023, and the DOI applied in Zenodo.</p> <p>Dataset description:<br> This dataset contains three geojson files:<br> - a road network with the ancient road system of the eastern part of Rome, mainly the Via Nomentana and the Via Tiburtina Valeria. It is a linear vector layer containing specific fields and basic metadata.<br> - a collection of places connected to the road network, mentioned in the ancient sources of the Tabula Peutingeriana and the Itinerarium Antonini. This point vector layer contains specific fields and metadata.<br> - a collection with proposed locations of milestones along the route of the road network. The milestones were automatically generated by the author of the dataset using the Tabula Peutingeriana script of the ArchaeoloGIS Plugin.<br> - The QGIS styles to manage the open dataset in QML format.<br> - The full Zotero source references for the plugin, and the open dataset folder.</p>
Experimental data for "An open-access database for the assessment of particle damper simulation tools"
<p>Experimental data for "An open access database for the assessment of particle damper simulation tools"</p>
The impact of pharmaceutical form and simulated side effects in an open-label-placebo RCT for improving psychological distress in highly stressed students (Open Data and Open Materials)
<p> Open-label placebo (OLP) may be utilized to reduce psychological distress. Yet, potential contextual effects have not been explored. We investigated the impact of pharmaceutical form and the simulation of side effects in a parallel group RCT (DRKS00030987). A sample of 177 highly stressed university students at risk of depression were randomly assigned by computer generated tables to a one-week intervention with active or passive OLP nasal spray or passive OLP capsule or a no-treatment control group. After the intervention, groups differed significantly in depressive symptoms but not regarding other outcomes of psychological distress (stress, anxiety, sleep quality, somatization), well-being or treatment expectation. OLP groups benefitted significantly more compared to the no-treatment control group (<em>d</em>=.40), OLP nasal spray groups significantly more than the OLP capsule group (<em>d</em>=.40) and the active OLP group significantly more than the passive OLP groups (<em>d</em>=.42). Interestingly, before intervention, most participants, regardless of group assignment, believed that the OLP capsule would be most beneficial. The effectiveness of OLP treatments seems to be highly influenced by the symptom focus conveyed by the OLP rationale. Moreover, pharmaceutical form and simulation of side effects may modulate efficacy, while explicit treatment expectation seems to play a minor role.</p>
Data Supplement: GIRFReco.jl: An Open-Source Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia
<p><strong>Dataset for GIRFReco.jl Paper</strong><br> <br> Please download this and extract to an appropriate location prior to running the demonstration code in GIRFReco.jl. The extracted folder will serve as the root directory in the demo code.</p>
Carouge pilot: open data for the weather
<p>Datasets collected in the NAIADES Carouge pilot and containing all the data related to the weather.</p>
5D-NP-FABTECH_FSG - Open Dataset for "Highly Conformable Terahertz Metasurface Absorbers via Two-photon Polymerization on Polymeric Ultra-thin Films"
<p>This is the open dataset for the paper: "Ottomaniello Andrea, Paolo Vezio, Omar Tricinci, Frank Marco den Hoed, Paul Dean, Alessandro Tredicucci and Virgilio Mattoli, Highly Conformable Terahertz Metasurface Absorbers via Two-photon Polymerization on Polymeric Ultra-thin Films, On line (2023) [DOI:10.5281/zenodo.7838033]".</p> <p>This include the Supplementary Information file ("suppl_j_nanoph-2022-0667_suppl.pdf"), all the source material used for the paper preparation and more. </p> <p>For each folder (sub-dataset) there is a corresponding readme file describing the content and including metadata</p>
Figure 2 in Origin of adaptations to open environments and social behaviour in sabretoothed cats from the northeastern border of the Tibetan Plateau
Figure 2. Tip-dating phylogeny of Machairodontinae. Biogeographic hypotheses (BioGeoBEARS implemented in RASP 4.2) are located at the nodes, with pie charts indicating the posterior probabilities of that node being present in a given geograpical region. The dispersal curves (for Machairodontini only, from M. aphanistus to Homotheriina) are located at the bottom of the figure. See the posterior probability of each node of the tip-dating phylogenetic analysis in the electronic supplementary material, appendix. The reconstruction of Homotherium serum from data in digimorph (http://www.digimorph.org/index.phtml). The photo of Machairodus aphanistus from Batallones comes from https://fossilhuntress.blogspot.com/2016/10/, the others are by the authors.
Figure 1 in Origin of adaptations to open environments and social behaviour in sabretoothed cats from the northeastern border of the Tibetan Plateau
Figure 1. (a) Cranium of Amphimachairodus hezhengensis sp. nov. HMV2041. a1, dorsal view; a2, anterior view; a3, ventral view; a4, postero-ventral view; a5, lateral view. (b) Geography of fossil locality. (c) Pathology of the MC2 and MC3 of Amphimachairodus sp. HMV2047 forepaw. (d) Large predator contemporary with A. hezhengensis in the Linxia Basin. d1, A. hezhengensis, HMV2041; d2, Dinocrocuta gigantea, HMV2044; d3, Agriotheriini ursid, HMV2046.
Evaluating Institutional Commitments to Open Scholarly Infrastructure: A Review of Open Access Collection Development Policies
<p>Data prepared for the publication "Evaluating Institutional Commitments to Open Scholarly Infrastructure: A Review of Open Access Collection Development Policies."</p> <p><strong>oa-cd-policies.csv</strong></p> <p>Scope: This data represents collection development policies that contain substantial mention of open access.</p> <p>Data collection: The policies were sourced using an Advanced Google Search for "open access" AND "collection development policy" at ".edu" domains.</p> <p>Variables:</p> <ul> <li>institution: Free text, name of the institution.</li> <li>carnegie_class: One of <a href="https://carnegieclassifications.acenet.edu/carnegie-classification/classification-methodology/basic-classification/">these options</a>; the Carnegie classification of the institution.</li> <li>institution_type: One of public or private; the funding source of the institution.</li> <li>policy_name: Free text; the title of the policy.</li> <li>supplemental_policy: Link to a supplemental open access policy if linked in the collection development policy.</li> <li>cd_policy_link: Link to the policy.</li> <li>infrastructure: TRUE or FALSE; whether the policy includes a commitment to open access scholarly infrastructure development, including open source platforms, locally hosted platforms, consortia, or an institutional repository.</li> <li>excerpt: Free text; text from the policy that mentions infrastructure.</li> </ul> <p><strong>principles-policies.csv</strong></p> <p>Scope: This data represents those collection development policies from oa-cd-policies.csv that contain commitments in line with the <a href="https://openscholarlyinfrastructure.org/">Principles for Open Scholarly Infrastructure</a>.</p> <p>Variables:</p> <ul> <li>institution: Free text, name of the institution.</li> <li>carnegie_class: One of <a href="https://carnegieclassifications.acenet.edu/carnegie-classification/classification-methodology/basic-classification/">these options</a>; the Carnegie classification of the institution.</li> <li>institution_type: One of public or private; the funding source of the institution.</li> <li>policy_name: Free text; the title of the policy.</li> <li>supplemental_policy: Link to a supplemental open access policy if linked in the collection development policy.</li> <li>cd_policy_link: Link to the policy.</li> <li>principle: One of the three main <a href="https://openscholarlyinfrastructure.org/">Principles</a>.</li> <li>sub_principle: One of the <a href="https://openscholarlyinfrastructure.org/">Sub-Principles</a>.</li> <li>excerpt: Free text; text from the policy that illustrates the sub_principle.</li> </ul>
Open Government Data Corpus for Table Search
<p>Increasing amounts of structured data can provide value for research and business if the relevant data can be located. Often the data is in a data lake without a consistent schema, making locating useful data challenging. Table search is a growing research area, but existing benchmarks have been limited to displayed tables. Tables sized and formatted for display in a Wikipedia page or ArXiv paper are considerably different from data tables in both scale and style. By using metadata associated with open data from government portals, we create the first dataset to benchmark search over data tables at scale. We demonstrate three styles of table-to-table related table search. The three notions of table relatedness are: tables produced by the same organization, tables distributed as part of the same dataset, and tables with a high degree of overlap in the annotated tags. The keyword tags provided with the metadata also permit the automatic creation of a keyword search over tables benchmark. We provide baselines on this dataset using existing methods including traditional and neural approaches. </p>
A tour through the MULTIPLIERS Open Science Communities
<p>In its first year, the MULTIPLIERS Horizon 2020 project engaged hundreds of students and teachers in hands-on, meaningful science learning projects across six European countries:</p> <p>• Exploring ecosystems with our natural science backpacks in Slovenia</p> <p>• Monitoring data on air pollution in Spain</p> <p>• Visiting a Molecular Medicine Research Center in Cyprus</p> <p>• Discussing how to influence political decisions on forests in Sweden</p> <p>• Drawing comics about the human body's immune response in Germany</p> <p>• Conducting a blind water tasting event in Italy and much more!</p> <p>About the project: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbUxNcFg4TzA5YUw5d1JHeXlRUENhTVM4eGlCd3xBQ3Jtc0tuSlRRbmlHVFNoQ3daMWZ5d2hvdS1iaEpGeVFDSTBUeUdsYUhxakFWenhkYjItbXdjeVNXUWsxV01QcTMwOE1CMi1Qd3kzaGhSb2FPbVg5RzhySVVVWFZfWkI0RXdCOFJzblpnSGpCM1haUHhkbUFPOA&q=https%3A%2F%2Fmultipliers-project.org%2F&v=cyFEshMPUco">https://multipliers-project.org/</a></p>
Using Open Citation Databases for Snowballing in Software Engineering Research
<p>Dataset for our study on the coverage of software engineering articles in open citation databases:</p> <ul> <li>a list of the 23 sampled venues with their respective CORE ranks and publishers, <ul> <li>01-venues.csv,</li> </ul> </li> <li>a list of the 204 sampled articles with their respective number of references/citations per citation database, <ul> <li>02-articles.csv (articles with publication information),</li> <li>03-references-absolute.csv (number of references in published PDF & absolute numbers for reference coverage in databases),</li> <li>04-references-relative.csv (relative numbers for reference coverage in databases),</li> <li>05-citations-absolute.csv (absolute numbers for citation coverage in databases),</li> <li>06-citations relative.csv (relative numbers for citation coverage in databases),</li> </ul> </li> <li>a list of the 8 articles analyzed in more detail with complete references data from the citation databases, <ul> <li>07-selected-articles.csv (articles with publication information),</li> <li>08A–08H (comparison of references found in databases for each article),</li> </ul> </li> <li>and additional statistical measures and plots <ul> <li>09-Statistics.{pdf,xlsx} (statistical measures – i.e., minimum, maximum, median, average, variance – for the whole dataset and for subsets by publisher, CORE rank, or year of publication),</li> <li>10-Figures.zip (figures for references as shown in the study and additional figures for citations – each in EPS and PNG format).</li> </ul> </li> </ul>
Open Science taxonomy: revised and expanded
<p>The figure presents a new version of the "Open Science Taxonomy", with 10 first-level facets, subdivided into 96 labels in all, 14 more than the version proposed by the Brazilians, Silveira et al. (2021), and 51 more than the initial version by Pontika et al. (2015). This study was developed through an exploratory research with a deductive approach. The first stage was composed of a review of the taxonomies, with 13 researchers who met weekly for conceptual and epistemological discussions related to Open Science, and methodological and procedural definitions for the study. As a result of the analyses, a taxonomy was developed to be evaluated by more specialists. For this, a questionnaire with open questions about each main axis of the taxonomy was sent to 68 experts. Twenty-one responses were obtained, which cooperated with the modeling and exposure of the terms for the new taxonomy.</p>
Open microdata registers from the Brazilian COVID-19 vaccination campaign
<p>This repository provides the Brazilian Ministry of Health’s (MoH) open microdata registers from the national COVID-19 vaccination campaign used in the paper <em>Age reporting for the oldest old in the Brazilian COVID-19 vaccination database: what can we learn from it?</em></p> <p>The dataset was downloaded on 14 March 2022 and was initially available at openDataSus <a href="https://opendatasus.saude.gov.br/dataset/covid-19-vacinacao">Campanha Nacional de Vacinação contra Covid-19</a> under a <a href="http://creativecommons.org/licenses/by/4.0/?ref=chooser-v1">CC BY 4.0</a> license.</p> <p>The reproducible <em><code>R</code></em> code and other datasets for the paper are available on GitHub at <a href="https://github.com/demographyandme/covid-19-datasus-vacina">Age reporting for the oldest old in the Brazilian COVID-19 vaccination database: what can we learn from it?</a> </p>
Example sonifications from the Astronify open-source Python package.
<p>The file named "10_galexFlare.wav" is a sonification of a stellar flare observed by the GALEX space telescope. This sonification uses a linear stretch on the pitch range 100-10,000 Hz, with a note duration of 0.8 seconds and 0.04 seconds between notes. The file named "1_kepler12b.wav" is a sonification of a transiting exoplanet observed by the Kepler space telescope. This sonification uses a linear stretch on the pitch range 100-10,000 Hz, with a note duration of 0.5 seconds and 0.01 seconds between notes.</p>
Austrian Science Fund (FWF) Open Access Compliance Monitoring 2022
<p>I. Executive summary</p> <p>The Austrian Science Fund (FWF), which is Austria's main funding organisation for basic research, encourages and helps all project leaders and project staff members to make their peer-reviewed research results freely available on the Internet. Any exceptions must be clearly indicated and justified. For projects that started after 1 January 2015, open access has been compulsory for all peer-reviewed publications. All principal investigators in FWF-funded projects are obliged to submit a final report within four months of completing their projects.</p> <p>In 2022, a total of 575 final reports were submitted to the FWF, 38 of which could not report any publications so far. The publications and other data mentioned in those reports are archived and analysed by the FWF. This report examines the state of compliance with open access requirements for peer-reviewed publications on the basis of final project reports submitted in the year 2022.</p> <p>Main findings:</p> <p>-A total of 8,312 publications were listed in the final project reports submitted in 2022.</p> <p>-Of those publications, 6,631 were conclusively identified as peer-reviewed.</p> <p>-Regarding compliance with the FWF's Open Access Policy, the analysis shows that 85% of the peer-reviewed publications listed in the final project reports submitted in 2022 were openly accessible (2015: 83%, 2016: 92%, 2017: 90%, 2018: 92%, 2019: 89%, 2020: 84%, 2021 82%).</p> <p>-The most frequently chosen option was hybrid open access (36%). The share of gold open access was 29%, the share of green open access 20%, and no open access 15%.</p> <p>-The majority of peer-reviewed publications submitted were journal articles (85%), 86% of which were openly accessible.</p> <p>-The lowest rate of compliance with the FWF's Open Access Policy could be found in editions, contributions to edited volumes, and monographs 41%).</p> <p>-The absolute number of publications listed in final reports in 2022 included 354 publications that were mentioned several times in different projects; however, those repetitions did not affect the relative share of open access publications (85%).</p> <p>II. Bias</p> <p>All publications were submitted to the FWF via a research documentation system (provided by ©Researchfish), in which FWF-funded researchers are able to enter and update their research data on an ongoing basis. The last check of the open access status was performed in March 2023. In some cases, the embargo period may have already expired, and publications labelled ‘closed’ in the FWF’s database may now be accessible through green open access.</p> <p>Whenever the status ‘peer-reviewed’ could not be clearly identified according to the FWF’s guidelines, the publications were classified as non-peer reviewed.</p> <p>Openly available non-peer reviewed publications were entered as 'openly available’.</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.