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175 Research products, page 1 of 18

  • Digital Humanities and Cultural Heritage
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  • Digital Humanities and Cultural Heritage

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  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Sprugnoli, Rachele; Passarotti, Marco; Cecchini, Flavio Massimiliano; Fantoli, Margherita; Moretti, Giovanni;
    Publisher: Zenodo
    Project: EC | LiLa (769994)

    This paper describes the organization and the results of the second edition of EvaLatin, the campaign for the evaluation of Natural Language Processing tools for Latin. The three shared tasks proposed in EvaLatin 2022, i. e. Lemmatization, Part-of-Speech Tagging and Features Identification, are aimed to foster research in the field of language technologies for Classical languages. The shared dataset consists of texts mainly taken from the LASLA corpus. More specifically, the training set includes only prose texts of the Classical period, whereas the test set is organized in three sub-tasks: a Classical sub-task on a prose text of an author not included in the training data, a Cross-genre sub-task on poetic and scientific texts, and a Cross-time sub-task on a text of the 15th century. The results obtained by the participants for each task and sub-task are presented and discussed.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Amico, Nicola; Niccolucci, Franco;
    Publisher: Zenodo
    Project: EC | 4CH (101004468)

    The report collects and analyses the documentation on CH digitization and identification of cutting-edge technologies, with a focus on 3D digitisation. It explores the actual advancement in the field, proposing an attempt of a common workflow for the lifecycles a 3D resource.

  • Open Access English
    Authors: 
    Rettberg, Jill Walker; Kronman, Linda; Solberg, Ragnhild; Gunderson, Marianne; Bjørklund, Stein Magne; Stokkedal, Linn Heidi; de Seta, Gabriele; Jacob, Kurdin; Markham, Annette;
    Publisher: Zenodo
    Project: EC | Machine Vision (771800), EC | Machine Vision (771800)

    This is a static version of the Database of Machine Vision in Art, Games and Narratives, which was originally developed as a Drupal 9 database as part of the ERC project Machine Vision in Everyday Life: Playful Interactions with Visual Technologies in Digital Art, Games, Narratives and Social Media. The static version consists of HTML and CSS files that can either be downloaded, or viewed in a web browser at https://machinevisionuib.github.io. To view the website in your browser, select GitHub-pages from the Environments section in the right hand menu of the Github repository, then select View deployment. The static version is intended as a permanent archive of the database. It does not have the search functionality of the database, but is more portable and durable, and will still be accessible after the database itself is no longer maintained. We plan to maintain the original database until at least July 2023. Data from the database is also available as a dataset consisting of csv files and documentation: Rettberg, Jill Walker; Kronman, Linda; Solberg, Ragnhild; Gunderson, Marianne; Bjørklund, Stein Magne; Stokkedal, Linn Heidi; de Seta, Gabriele; Jacob, Kurdin; Markham, Annette, 2022, "A Dataset Documenting Representations of Machine Vision Technologies in Artworks, Games and Narratives", https://doi.org/10.18710/2G0XKN, DataverseNO, V1 This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 771800).

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Fihn Marberg, Johan;
    Publisher: Zenodo
    Project: EC | SSHOC (823782), EC | SSHOC (823782)

    Crosswalks of DDI Codebook to DC Terms, DataCite 4.4, DCAT-AP 2, schema.org and DIF10. Produced as a part of the Social Science and Humantities Open Cloud (SSHOC) project. Conversions using xslt are available here: https://github.com/MetadataTransform/ddi-xslt

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Saji, Ami; Winn, Meredith; Marie, Lucie; Morales, Laura; Tservenis, Dimitrios Rafail; Schenckery, Anastasia; Michaud, Geneviève;
    Publisher: Zenodo
    Project: EC | H2020 (681463), EC | SGA3 (861952), EC | SSHOC (823782), EC | H2020 (681463), EC | SGA3 (861952), EC | SSHOC (823782)

    The Ethnic and Migrant Minorities Survey Question Data Bank (EMM QDB)–which has been co-produced by COST Action 16111-ETHMIGSURVEYDATA, the SSHOC (Social Sciences and Humanities Open Cloud) project, and the FAIRETHMIGQUANT project–is a free online service dedicated to questionnaires used in quantitative surveys undertaken with ethnic and migrant minority (EMM) respondents. The EMM QDB collection can be accessed at https://ethmigsurveydatahub.eu/emmqdb/. To find the EMM QDB collection on the Centre de Données Socio-Politiques (CDSP) of Sciences Po's Colectica Portal, go to the Series entitled, 'Ethnic and Migrant Minorities Survey Question Data Bank Collection.' Users of the EMM QDB will be able to discover and learn about the different questionnaires, including their specific questions, using the 'Search' and 'Explore' functions of the CDSP's Colectica Portal. The EMM QDB is currently in a pilot version. This means that it will only cover questionnaires from surveys that: (1) are covered by the EMM Survey Registry (https://ethmigsurveydatahub.eu/emmregistry/), (2) study the topic of social ties and civic participation; and (3) have been conducted in Croatia, France, Germany, Hungary, Italy, the Netherlands, Norway, Spain, Switzerland, and/or the UK.** **Countries outside of these 10 countries may be included in the pilot version of the EMM QDB. This would occur if a country was a participant of a cross-country survey that meets the aforementioned inclusion criteria of the pilot version.

  • Open Access English
    Authors: 
    Vassallo, Valentina; Nunziata, Luciarita; Hermon, Sorin;
    Publisher: Zenodo
    Project: EC | 4CH (101004468)

    This 4CH internal report describes the archaeological applications of 3D modelling, including research, valorisation and conservation of archaeological assets and finds.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    SSHOC;
    Publisher: Zenodo
    Project: EC | SSHOC (823782)

    The social sciences and humanities (SSH) encompasses researchers with roots in very diverse domains and methodological frameworks, from heritage researchers documenting work with 3D digital objects to interdisciplinary social researchers seeking new modes to analyse existing sources, to name but a few. In the digital age, new insights and ground-breaking research increasingly relies on powerful, tailored tools and environments for research within and across disciplines. This is where the Social Sciences and Humanities Open Cloud project comes into play by driving collaboration between various research infrastructures RIs and communities across apparently disparate domains. SSHOC has demonstrated that with smart interoperability guidelines and matching thematic service provision with the requirements and standards of the wider SSH domain. From this sea change, a cluster serving a larger use base with tools, services and workflows meeting the needs of multidisciplinary research agendas is born. Such a cluster is a key precondition for the emergence of a landscape that enables and supports collaboration across disciplinary boundaries, where each research infrastructure in SSHOC is making the commitment towards a more FAIR ecosystem for research with a high level of interoperability with the European Open Science Cloud. Researchers from all over Europe and beyond can now easily compare multiple catalogues of data as key to broadening their research, enabling and enhancing a multidisciplinary approach beyond their specific field. From art (IPERION-HS) to history (CESSDA & CLARIN), from literature (CLARIN & DARIAH) to social science and economics (ESS and SHARE), this rich and user-friendly SSH data hub, created by SSHOC, marks a fundamental first step in building the integrated European Open Science Cloud (EOSC). As such, it serves researcher’s needs, unites communities and helps them tackle global challenges, while contributing to excellent research and open science within Europe and beyond. This SSHOC Legacy booklet covers the main outcomes of this journey, marking a major step towards the exploitation of tools and services during the project’s funding lifecycle and from there the path towards sustainability. The first part showcases the work performed by SSHOC partners to achieve its open, fair multidisciplinary approach. The second part covers all the 33 Key Exploitable Results that underpin exploitation and sustainability, with each factsheet offering an overview of the results, how to use them and where to access them.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Willems, Marieke; Parker, Stephanie; Drascic, Martina; Versic, Ivana Ilijasic; Komljenovic, Vanja; De Jong, Franciska; Barbot, Laure; Broeder, Daan; Néroulidis, Ariane; Rojas, Diana Zavala; +17 more
    Publisher: Zenodo
    Project: EC | SSHOC (823782)

    This Exploitation Plan gives an overview of the joint and multiple individual exploitation paths aimed at increasing the impact of all the Key Exploitable Results developed during the SSHOC project lifetime (from January 2019 to April 2022). The Plan is aligned with the contractual obligations defined in articles 28 and 29 of the SSHOC Grant Agreement (No. 823782). The 33 Key Exploitable Results from SSHOC make available scientific evidence for policy making and enable exploitation through sustained use and/or re-use in other research activities and future funding opportunities. As such, exploitation is instrumental in concretising their value for diverse stakeholder groups, spanning end-users and in the EOSC context, detailing each result, partners involved in its development, and how it will be exploited. The Exploitation Plan stems from the activities in Work Package 8, especially Task 8.1: “Governance & Sustainability” which handles the overall governance of the SSHOC project, as well as from the continuous consultation processes conducted among the SSHOC Scientific Board and Project Management Board. Designed as a living record on exploitation rather than an official deliverable, it will feed into SSHOC D8.1 Governance and Sustainability Roadmap (M38; February 2022). D8.1 defines the organisational structure needed to safeguard the availability, quality, and maintenance of the results after the project’s funding lifecycle, the conditions for financial sustainability and the measures for implementing the envisaged structure. D8.1 is closely linked to SSHOC D7.5 Marketplace – Governance (M36; December 2021) as the guidelines delivered by Task 7.4 detail the roles of various actors and the envisaged workflow for the continuous curation of the Marketplace. The Exploitation Plan will be updated at the end of the project, when all KERs are delivered and accessible to all stakeholders at M40 (April 2022) of the SSHOC project.

  • English
    Authors: 
    Vinther, Bo Møllesøe; Freitag, Johannes; Kipfstuhl, Sepp; Weißbach, Stefanie; Karlsson, Nanna Bjørnholt; Münch, Thomas; Hörhold, Maria;
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
    Project: EC | ICE2SEA (226375)

    The firn core array of the North Greenland Traverse (NGT) provides unique climatic information for North Greenland until the mid 1990ies. In order to extend this climate record into more recent time, some of the drill sites were revisited and extension cores were drilled. The record is a composite of snow liners (from the surface to 1.29 m depth) and a consecutive firn core from 1.47 m depth to 30.00 m depth with a diameter of 75 cm. Density was measured by weighing the 55 cm long bags. Stable oxygen isotopes (δ18O) were measured at the Niels Bohr Institute, Copenhagen, Denmark. Using raw, un-calibrated dielectrical profiling (DEP) data from the field (NEEM Set-up), volcanic tie points were derived. Together with the smoothed density data and the isotopic composition the record was dated by layer counting. The annual mean values of δ18O were obtained based on this dating. Based on the density measurements and the dating, the annual accumulation rate in water equivalent depth was derived.

  • Open Access English
    Authors: 
    Gómez-Letona, Markel; Arístegui, Javier; Hernández-Hernández, Nauzet; Alvarez-Salgado, Xose Anton; Álvarez, Marta; Delgadillo, Erick; Pérez-Lorenzo, Maria; Teira, Eva; Hernández-León, Santiago; Sebastian, Marta;
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
    Project: EC | SUMMER (817806)

    This dataset contains the results of the fluorescent dissolved organic matter characterisation (FDOM) and water mass optimum multiparameter analysis from the MAFIA cruise (Migrants and Active Flux In the Atlantic ocean). Samples were collected in the tropical and subtropical Atlantic during the MAFIA cruise (April 2015) on board the BIO Hespérides. Seawater samples for biogeochemical analyses were collected at 13 stations (from the Brazilian coast to the Canary Islands), from the surface down to 3500 m, using a General Oceanics oceanographic rosette equipped with 24 l PVC Niskin bottles. Fluorescence measurements were performed with a Perkin-Elmer LS55 spectrofluorometer and FDOM was characterised by means of a Parallel Factor analysis. The contribution of each water mass to each sample was objectively quantified applying an optimum multiparameter analysis (excluding mixed layer samples, here < 100 m). The aim of this dataset was to jointly characterise the FDOM and water mass distributions to infer the processes that shape the dissolved organic matter pool in the deep ocean (water mass mixing and history vs local processes).