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  • University of Southern Denmark Rese...
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Mayr, Eva; Windhager, Florian; Liem, Johannes; Beck, Samuel; +3 Authors

    Linking and visualizing multiple types of entities in a DH knowledge graph generates the need to deal with multiple types of data and media modalities both on the designer and the user side. The InTaVia project develops synoptic visual representations for a multimodal historical knowledge graph which draws together transnational data about cultural objects and historical actors. In this paper we reflect on the question how to integrate and mediate the informational and visual affordances of both kinds of cultural data with hybrid designs and show how a user-centered design process can help to ground the required selections and design choices in an empirical procedure.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Pedersen, Jannik S.; Laursen, Martin S.; Soguero-Ruiz, Cristina; Savarimuthu, Thiusius R.; +2 Authors

    Bleeding can be a life-threatening condition which occurs for 3.2% of medical patients. Information about previous bleeding and bleeding site is used to predict the risk of future bleeding and guide anticoagulant treatment. However, obtaining this information is a time-consuming task as it is contained in the free text of electronic health records. Previous research has mainly been focused on extracting bleeding events but does not classify the bleeding site which is important for assessing the severity of the bleeding. This study creates the first dataset for developing and evaluating machine learning models for classification of bleeding site. The dataset consists of sentences annotated by medical doctors as belonging to one of ten bleeding sites. The sentences were annotated in 149,523 electronic health record notes from 1,533 patients of Odense University Hospital, Denmark, between 2015 and 2020. We compare different deep learning models on classifying bleeding site and find that a ∼13M parameter ELECTRA model pretrained on clinical text achieves higher accuracy (0.905 - 0.002) than a ∼110M parameter general BERT model (0.884 + 0.001) on a balanced test set of 1,500 sentences. We furthermore test different methods for dealing with unbalanced data without finding any significant differences between methods.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    https://doi.org/10.1109/bhi561...
    Conference object . 2022 . Peer-reviewed
    License: STM Policy #29
    Data sources: Crossref
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      https://doi.org/10.1109/bhi561...
      Conference object . 2022 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    I. The dataset was generated in Zotero. A public version is available in https://www.zotero.org/groups/581583/skydeselskabets_sange. II. The collection "Skydeselskabets Sange" was exported from the zotero sqlLite database to the MODS-xml-file Zotero-collection-MODS-export-Skydeselskabets-sange.xml III. I have added the files in the .csl-format (Citation stylesheet language). They were used to extract and format data from Zotero. I have added the output in html-format. I now specify the a) Zotero subcollection b) stylesheet and c) output : 1) a) Bibliografi b) skydeviser_2021.csl c) Bibliography-markup-html-Shooting-Songs.html and Bibliography-raw-html-Shooting-Songs.html 2) a) Bibliografi [songs by Jens Baggesen] b) skydeviser_register.csl c) Index-register_for_Jens-Baggesen.html 3) a) Melodier b) skydeviser_melodier.csl c) Index-melodies.html IV. In the abovementioned journal article, I include two statistics. They were generated as follows. In the fourth step I name the postprocessed SVG-files drawn from the bar-charts generated in Microsoft Excel (r). 1) a) Bibliografi b) skydeviser_statistik.csl c) songs-per-year-1784-1869.xlsx d) dia01_1784-1869-songs-per-year_2022-08-18.svg 2) a) Melodier [four rounds of harvest for all non-Danish items, as described in the article] b) skydeviser_statistik.csl c) foreign-melodies.xlsx d) dia02_foreign-melodies.svg For the sake of interoperability, I include a csv-version of the excel workbook (xlsx) without graphs. V. Version 1.1 adds two files. a) anonymous-authors.csv b) Appendix_Coverage_Guide-Zotero.pdf. The data set is centered around a catalogue (enumerative bibliography) of occasional songs addressed to an illustrious recipient at parties organized by the Royal Copenhagen Shooting Association (Det Kongelige Kjøbenhavnske Skydeselskab og Danske Broderskab). A more detailed description will be found in the research article with the title "Increasing Access to Ephemeral Prints. How to Construct and Analyze a Dataset From the Golden Age of Literature in Nineteenth-Century Denmark" (submitted to the journal Orbis Litterarum, in August 2022). The dataset was also published as a printed Danish bibliography entitled Holger Berg: Kongesange og skydeviser fra Det Kongelige Kjøbenhavnske Skydeselskab og Danske Broderskab 1784-1869. Odense: Kle-Art, 2022. ISBN 978-87-92750-35-8

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Haastrup, Mette Fentz; Bjerre, Cecilie;

    The Collaborative History Project (CHP) is a citizen science project named ”Vores Historie” (“Our History”). The topic was family revolution, a period from 1960 to 1980s. The goals are:Scientific: Writing more multifarious and inclusive histories that include citizens’ lived experiencesEducational: Developping connections between students’ everyday lives and science, improving students’ scientific literacy with respect to qualitative data, and improving the intergenerational dialogue in society (high school students and senior citizens).

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    Authors: Jensen, Peter Sandholt; Pedersen, Maja Uhre; Radu, Cristina Victoria; Sharp, Paul Richard;

    The Malthusian model is the subject of a fierce debate within economic history. Although the positive causal relationship postulated from living standards to population growth is relatively uncontroversial for preindustrial societies, this cannot be said for the other key relationship, diminishing returns due to fixed supplies of land. We argue that Denmark, which was characterized by extreme resource and environmental constraints until the final decades of the eighteenth century, provides an ideal setting for testing whether any society was ever truly Malthusian. We employ a cointegrated VAR model on Danish data from 1731 to 1800, finding evidence for diminishing returns until ca. 1775. Yet this relationship disappears in the late-eighteenth century, consistent with an increasing pace of technological progress and the emergence of what Unified Growth Theory has termed the “post-Malthusian” era.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Lucini, Biagio; Francesconi, Olmo; Holzmann, Markus; Lancaster, David; +1 Authors

    The Logarithmic Linear Relaxation (LLR) algorithm is an efficient method for computing densities of states for systems with a continuous spectrum. A key feature of this method is exponential error reduction, which allows us to evaluate the density of states of a system over hundreds of thousands of orders of magnitude with a fixed level of relative accuracy. As a consequence of exponential error reduction, the LLR method provides a robust alternative to traditional Monte Carlo calculations in cases in which states suppressed by the Boltzmann weight play nevertheless a relevant role, e.g., as transition regions between dominant configuration sets. After reviewing the algorithm, we will show an application in U(1) Lattice Gauge Theory that has enabled us to obtain the most accurate estimate of the critical coupling with modest computational resources, defeating exponential tunneling times between metastable vacua. As a further showcase, we will then present an application of the LLR method to the decorrelation of the topological charge in SU(3) Lattice Gauge Theory near the continuum limit. Finally, we will review in general applications of the LLR algorithm to systems affected by a strong sign problem and discuss the case of the Bose gas at finite chemical potential. Comment: 6 pages, 3 figures. Talk presented by B. Lucini at the XXXII IUPAP Conference on Computational Physics 21, Coventry, UK, 1-5 August 2021

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    University of Southern Denmark Research Output
    Contribution for newspaper or weekly magazine . 2022
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    CERN Document Server
    Other literature type . 2022
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    arXiv.org e-Print Archive
    Other literature type . Preprint . 2021
    Hal-Diderot
    Conference object . 2021
    Data sources: Hal-Diderot
    https://doi.org/10.48550/arxiv...
    Article . 2021
    License: arXiv Non-Exclusive Distribution
    Data sources: Datacite
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      University of Southern Denmark Research Output
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      https://doi.org/10.48550/arxiv...
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    Authors: Stræde, Therkel;
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    Canadian Journal of History
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      Canadian Journal of History
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    Authors: Moghaddam, MT; Muccini, H; Dugdale, J; Kjagaard, MB;

    The Internet of Behaviors (IoB) puts human behavior at the core of engineering intelligent connected systems. IoB links the digital world to human behavior to establish human-driven design, development, and adaptation processes. This paper defines the novel concept by an IoB model based on a collective effort interacting with software engineers, human-computer interaction scientists, social scientists, and cognitive science communities. The model for IoB is created based on an exploratory study that synthesizes state-of-the-art analysis and experts interviews. The architecture of a real industry 4.0 manufacturing infrastructure helps to explain the IoB model and it's application. The conceptual model was used to successfully implement a socio-technical infrastructure for a crowd monitoring and queue management system for the Uffizi Galleries, Florence, Italy. The experiment, which started in the fall of 2016 and was operational in the fall of 2018, used a data-driven approach to feed the system with real-time sensory data. It also incorporated prediction models on visitors' mobility behavior. The system's main objective was to capture human behavior, model it, and build a mechanism that considers changes, adapts in real-time, and continuously learns from repetitive behaviors. In addition to the conceptual model and the real-life evaluation, this paper provides recommendations from experts and gives future directions for IoB to become a significant technological advancement in the coming few years. Comment: 11 pages, 3 tables, 5 figures

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    arXiv.org e-Print Archive
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    https://doi.org/10.1109/icsa53...
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    https://doi.org/10.48550/arxiv...
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      https://doi.org/10.48550/arxiv...
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    Authors: Aarts, G.; Allton, C.; Hands, S.; Jäger, B.; +5 Authors

    We discuss some selected recent developments in the field of lattice QCD at nonzero temperature and density, describing in particular the transition from the hadronic gas to the quark-gluon plasma, as seen in simulations using Wilson fermions. Comment: 9 pages, invited talk presented at the XXXII IUPAP Conference on Computational Physics 21, Coventry, UK, 1-5 August 2021

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    University of Southern Denmark Research Output
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      University of Southern Denmark Research Output
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    Authors: Sarah Pini; Melissa Ramos; Jestin George;

    The short experimental film Shifting Perspectives stems from a collaborative research project initiated in 2019 in Sydney, Australia, during the ‘Choreographic Hack Lab'—a week-long laboratory co-presented by Critical Path and Sydney Festival in partnership with the Museum of Applied Arts and Sciences (MAAS), which asked artists and academics to rethink and respond to the idea of the Anthropocene (Pini & George, 2019). The film was later developed in 2020 during a Responsive Residency at Critical Path, Sydney, awarded to anthropologist and choreographer Sarah Pini in collaboration with Jestin George, biotechnologist and visual artist, and Melissa Ramos, visual artist and filmmaker. This work aims to open a multivocal interdisciplinary dialogue across screendance, performance and synthetic biology. Inspired by a recent conversation between two leaders in the field of synthetic biology (Sarah Richardson and Tom Knight) and their divergent approaches to working with microbial life (Agapakis, 2019), the film invites to consider how collaborating with microorganisms can reshape our future in a more-than-human world. 

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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Mayr, Eva; Windhager, Florian; Liem, Johannes; Beck, Samuel; +3 Authors

    Linking and visualizing multiple types of entities in a DH knowledge graph generates the need to deal with multiple types of data and media modalities both on the designer and the user side. The InTaVia project develops synoptic visual representations for a multimodal historical knowledge graph which draws together transnational data about cultural objects and historical actors. In this paper we reflect on the question how to integrate and mediate the informational and visual affordances of both kinds of cultural data with hybrid designs and show how a user-centered design process can help to ground the required selections and design choices in an empirical procedure.

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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Pedersen, Jannik S.; Laursen, Martin S.; Soguero-Ruiz, Cristina; Savarimuthu, Thiusius R.; +2 Authors

    Bleeding can be a life-threatening condition which occurs for 3.2% of medical patients. Information about previous bleeding and bleeding site is used to predict the risk of future bleeding and guide anticoagulant treatment. However, obtaining this information is a time-consuming task as it is contained in the free text of electronic health records. Previous research has mainly been focused on extracting bleeding events but does not classify the bleeding site which is important for assessing the severity of the bleeding. This study creates the first dataset for developing and evaluating machine learning models for classification of bleeding site. The dataset consists of sentences annotated by medical doctors as belonging to one of ten bleeding sites. The sentences were annotated in 149,523 electronic health record notes from 1,533 patients of Odense University Hospital, Denmark, between 2015 and 2020. We compare different deep learning models on classifying bleeding site and find that a ∼13M parameter ELECTRA model pretrained on clinical text achieves higher accuracy (0.905 - 0.002) than a ∼110M parameter general BERT model (0.884 + 0.001) on a balanced test set of 1,500 sentences. We furthermore test different methods for dealing with unbalanced data without finding any significant differences between methods.

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    https://doi.org/10.1109/bhi561...
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    I. The dataset was generated in Zotero. A public version is available in https://www.zotero.org/groups/581583/skydeselskabets_sange. II. The collection "Skydeselskabets Sange" was exported from the zotero sqlLite database to the MODS-xml-file Zotero-collection-MODS-export-Skydeselskabets-sange.xml III. I have added the files in the .csl-format (Citation stylesheet language). They were used to extract and format data from Zotero. I have added the output in html-format. I now specify the a) Zotero subcollection b) stylesheet and c) output : 1) a) Bibliografi b) skydeviser_2021.csl c) Bibliography-markup-html-Shooting-Songs.html and Bibliography-raw-html-Shooting-Songs.html 2) a) Bibliografi [songs by Jens Baggesen] b) skydeviser_register.csl c) Index-register_for_Jens-Baggesen.html 3) a) Melodier b) skydeviser_melodier.csl c) Index-melodies.html IV. In the abovementioned journal article, I include two statistics. They were generated as follows. In the fourth step I name the postprocessed SVG-files drawn from the bar-charts generated in Microsoft Excel (r). 1) a) Bibliografi b) skydeviser_statistik.csl c) songs-per-year-1784-1869.xlsx d) dia01_1784-1869-songs-per-year_2022-08-18.svg 2) a) Melodier [four rounds of harvest for all non-Danish items, as described in the article] b) skydeviser_statistik.csl c) foreign-melodies.xlsx d) dia02_foreign-melodies.svg For the sake of interoperability, I include a csv-version of the excel workbook (xlsx) without graphs. V. Version 1.1 adds two files. a) anonymous-authors.csv b) Appendix_Coverage_Guide-Zotero.pdf. The data set is centered around a catalogue (enumerative bibliography) of occasional songs addressed to an illustrious recipient at parties organized by the Royal Copenhagen Shooting Association (Det Kongelige Kjøbenhavnske Skydeselskab og Danske Broderskab). A more detailed description will be found in the research article with the title "Increasing Access to Ephemeral Prints. How to Construct and Analyze a Dataset From the Golden Age of Literature in Nineteenth-Century Denmark" (submitted to the journal Orbis Litterarum, in August 2022). The dataset was also published as a printed Danish bibliography entitled Holger Berg: Kongesange og skydeviser fra Det Kongelige Kjøbenhavnske Skydeselskab og Danske Broderskab 1784-1869. Odense: Kle-Art, 2022. ISBN 978-87-92750-35-8

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO