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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: Novak, Erik; Calcina, Erik; Mladenić, Dunja; Grobelnik, Marko;

    The OG2021 corpus contains multilingual news articles that are reporting on the events happening during the 2021 Tokyo Olympics. The data set was created to evaluate the clustering algorithm. The articles were initially acquired via the EventRegistry service, clustered using an online news clustering algorithm, and finally manually inspected and annotated by a single evaluator using translation services to understand the meaning of the articles' content. The corpus consists of a single file called og2021.csv, which contains the data of 10.940 news articles grouped into 1.350 clusters. Each article has the following attributes: - id: The ID of the news article. - title: The title of the article. - lang: The language in which the article is written. Can be one of nine values. - source: The news publisher's name. - published_at: The date and time when the article was published. The published dates range between 2021-07-01 and 2021-08-14. - URL: The URL location of the news article. - cluster_id: The ID of the cluster the article is a member of. The dataset is also published with the body attribute but under a more restrictive licence. It can be found at http://hdl.handle.net/11356/1921.

    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/ CLARIN.SI repositoryarrow_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/
    CLARIN.SI repository
    Dataset . 2024
    License: CC BY NC ND
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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/ CLARIN.SI repositoryarrow_drop_down
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      CLARIN.SI repository
      Dataset . 2024
      License: CC BY NC ND
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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: Novak, Erik; Calcina, Erik; Mladenić, Dunja; Grobelnik, Marko;

    The OG2021 corpus contains multilingual news articles that are reporting on the events happening during the 2021 Tokyo Olympics. The data set was created to evaluate the clustering algorithm. The articles were initially acquired via the EventRegistry service, clustered using an online news clustering algorithm, and finally manually inspected and annotated by a single evaluator using translation services to understand the meaning of the articles' content. The corpus consists of a single file called og2021.csv, which contains the data of 10.940 news articles grouped into 1.350 clusters. Each article has the following attributes: - id: The ID of the news article. - title: The title of the article. - body: The body of the article. - lang: The language in which the article is written. Can be one of nine values. - source: The news publisher's name. - published_at: The date and time when the article was published. The published dates range between 2021-07-01 and 2021-08-14. - URL: The URL location of the news article. - cluster_id: The ID of the cluster the article is a member of.

    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 CLARIN.SI repositoryarrow_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 CLARIN.SI repositoryarrow_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 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: Leemans, Inger; Tonelli, Sara; Christlein, Vincent; Troncy, Raphaël; +2 Authors

    This resource of the Olfactory Heritage Toolkit (DOI 10.5281/zenodo.10700210) presents an overview of places and spaces that are often mentioned in European digitized texts or depicted in images (1600-1920) as having a significant smellscape. The list is compiled by the Odeuropa project, to support cultural heritage policy makers to envision where smell may play a significant role and help heritage communities to acknowledge the value of olfaction in heritage contexts. Furthermore, the data may enable heritage documentation systems (e.g. digital collection management systems used by libraries, archives, museums, (in)tangible heritage lists, heritage classification systems) to include olfaction in their documents and resources.

    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 . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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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: Leemans, Inger; Troncy, Raphaël; Tonelli, Sara; Bembibre, Cecilia; +1 Authors

    This resourcefor the Olfactory Heritage Toolkit (https://doi.org/10.5281/zenodo.10700211) presents an overview of smells and olfactory objects that are often mentioned in European digitized texts as having significant values. The list is compiled by the Odeuropa project to support cultural heritage policy makers to envision what kinds of smells and olfactory objects may have played or still play a significant role in European culture. Furthermore, the data may enable heritage documentation systems (e.g. digital collection management systems used by libraries, archives, museums, (in)tangible heritage lists, heritage classification systems) to include olfaction in their documents and resources.

    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 . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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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: Previtali, Mattia; Barazzetti, Luigi; Oreni, Daniela; CUCA, BRANKA; +2 Authors

    This dataset was created during ENGINEER project activities and is accessible only upon user request and approval by the responsible national authority of Cyprus, namely the Department of Antiquities. The dataset pertains to data acquired at the tombs of the kings using a Faro Focus S70 laser scanner. 

    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 . 2024
    License: CC BY NC SA
    Data sources: ZENODO
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      ZENODO
      Dataset . 2024
      License: CC BY NC SA
      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: Gansell, Amy Rebecca; Alstola, Tero; Jauhiainen, Heidi; Svärd, Saana;

    This repository contains the data used for and generated during our research for the article "Neo-Assyrian Imperial Religion Counts: A Quantitative Approach to the Affiliations of Kings and Queens with their Gods and Goddesses" by Amy Rebecca Gansell, Tero Alstola, Heidi Jauhiainen, and Saana Svärd, published in the Journal of Ancient Near Eastern Religions. In the article, we study the relationships between Neo-Assyrian deities, kings, and queens. Our text data on kings comes from the Open Richly Annotated Cuneiform Corpus (Oracc). After preprocessing our dataset, we analyzed 575 texts in which at least one king and one deity co-occur within a window of ten words. These texts come from the Oracc projects RINAP, RIAo, RIBo, and SAAo. The connections between queens and deities were collected manually. The folders in this repository contain the following: Kings: Files that relate to the textual dataset on kings and deities, including various statistics and the text file from which we extracted the co-occurrences of kings and deities within a window of ten words. OraccData: Oracc texts and their metadata converted to .tsv files. Queens: Data used for analyzing the co-occurrences of queens and deities, including some statistics. Standardization: Lists used for standardizing proper nouns in the textual data. Tables: Full versions of the tables that are published in a shortened form in the article. We gratefully acknowledge that our research has been funded by the Academy of Finland (decision numbers 298647, 312051, and 330727). Our research data originates from the Open Richly Annotated Cuneiform Corpus (Oracc). We thank Oracc for their efforts in making linguistically annotated cuneiform texts available online. We are indebted to everyone who has been involved in creating this research data, including the authors of the original publications and the researchers who have made the data Oracc-compatible and enriched it through lemmatizations and by adding other metadata (for a list of projects and their contributors, see the file OraccCredits.txt). In the context of this article and dataset, we want to acknowledge the work of the Munich Open-access Cuneiform Corpus Initiative (PIs Karen Radner and Jamie Novotny) and the Royal Inscriptions of the Neo-Assyrian Period project (PI Grant Frame) in particular. We thank Jamie Novotny for making the royal inscriptions of Sargon II from the RINAP 2 project available to us before their publication. We thank Aleksi Sahala for support with the Pmizer tool and running the first co-occurrence lists, Johannes Bach for helping to develop the rules to replace first person verbs and pronouns, Repekka Uotila for help with preliminary analysis of our data, and Shana Zaia for feedback on earlier drafts of the article.

    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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    Authors: Falcucci, Armando; Arrighi, Simona; Spagnolo, Vincenzo; Rossini, Matteo; +7 Authors

    Research compendium for 'A pre-Campanian Ignimbrite techno-cultural shift in the Aurignacian sequence of Grotta di Castelcivita, southern Italy' Compendium DOI: https://doi.org/10.5281/zenodo.10639553 The content available at the above provided URL will reproduce the results as documented in the first paper's submission. Instead, the files hosted at https://github.com/ArmandoFalcucci/Castelcivita-Aur-Techno represent the developmental versions and might have undergone modifications since the paper's publication. Maintainer of this repository: Armando Falcucci (armando.falcucci@uni-tuebingen.de; https://orcid.org/0000-0002-3255-1005) Submitted paper: Armando Falcucci, Simona Arrighi, Vincenzo Spagnolo, Matteo Rossini, Owen Higgins, Brunella Muttillo, Ivan Martini, Jacopo Crezzini, Francesco Boschin, Annamaria Ronchitelli, Adriana Moroni. A pre-Campanian Ignimbrite techno-cultural shift in the Aurignacian sequence of Grotta di Castelcivita, southern Italy. In preparation (2024). Abstract: The Aurignacian is the first European technocomplex assigned to Homo sapiens identified across a wide geographic extent. Although archaeologists have identified marked chrono-cultural shifts within the Aurignacian mostly by examining the techno-typological variations of stone tools, unraveling the underlying processes driving these changes remains a significant scientific challenge. Scholars have, for instance, hypothesized that the Campanian Ignimbrite (CI) super-eruption and the climatic deterioration associated with the onset of Heinrich Event 4 had a substantial impact on European foraging groups. The technological shift from the Protoaurignacian to the Early Aurignacian is regarded as an archaeological manifestation of adaptation to changing environments. However, some of the most crucial regions and stratigraphic sequences for testing these scenarios have been overlooked. In this study, we delve into the high-resolution stratigraphic sequence of Grotta di Castelcivita in southern Italy. Here, the Uluzzian is followed by three Aurignacian layers, all sealed by the eruptive units of the CI. Employing a comprehensive range of quantitative methods—encompassing attribute analysis, 3D model analysis, and geometric morphometrics—we demonstrate that the technological features commonly associated with the Early Aurignacian developed well before the deposition of the CI tephra. Our study provides thus the first direct evidence that the volcanic eruption played no role in this cultural process. Furthermore, we show that local paleo-environmental proxies do not correlate with the identified patterns of cultural continuity and discontinuity. Consequently, we propose alternative research paths to explore the role of demography and regional trajectories in the development of the Upper Paleolithic. Keywords: Early Upper Paleolithic; Italy; Aurignacian; lithic technology; geometric morphometrics; 3D model analysis; cultural evolution; human-environment interaction; open science. Overview of contents and how to reproduce: Within this repository, various folders house data (data), code (script), and output files (output) pertinent to the paper. The data folder encompasses the complete dataset, the core dataset, and 2D outline coordinates utilized for the geometric morphometrics study. To replicate the results, download the entire repository and employ Castelcivita-Aur-Techno.Rproj and open the folder script, following the numbered folder structure. For ensuring reproducibility, the renv package (v. 1.0.3) was utilized, following the procedures detailed in its vignette. All analyses and visualizations in the paper were conducted using R 4.3.1 on Microsoft Windows 10.0.19045 (64-bit). As the necessary packages are available in the renv folder, they are not explicitly listed here. Licenses: Code: MIT (http://opensource.org/licenses/MIT), copyright holder: Armando Falcucci (2024). Data and intellectual work: Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), copyright holder: the authors (2024).

    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 . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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    Authors: Falcucci, Armando; Moroni, Adriana;

    Overview The repository contains an extensive dataset (n = 538) comprising 3D meshes representing various classes of lithic artifacts such as cores, blades, bladelets, flakes, and retouched tools. These artifacts originate from the Protoaurignacian (rsa') and Early Aurignacian (gic, ars) layers of Grotta di Castelcivita (40.49563600N, 015.20922177E) in southern Italy (Gambassini, 1997). The layers date back to approximately 41,000 to 39,800 years ago (Douka et al., 2014). A new technological assessment of the rsa’–ars sequence has been conducted utilizing the models included in this repository (Falcucci et al., in preparation). Grotta di Castelcivita holds significant importance for the study of Early Upper Paleolithic cultural dynamics due to its substantial archaeological content and the presence of the Campanian Ignimbrite geochronological marker, which seals the archaeological sequence of the site (Giaccio et al., 2008). The artifacts in this dataset were 3D-scanned using an Artec Space Spider and an Artec Micro, both from Artec Inc. in Luxembourg. The scanning process adhered to recently published protocols (Falcucci, 2022; Göldner et al., 2022b; Göldner et al., 2022a). The use of the Artec Micro was particularly instrumental in digitizing extremely small lithics, such as retouched bladelets with length values around 1 cm. The creation of this open-access repository is intended to encourage archaeologists to participate in collaborative initiatives, thereby contributing to the advancement of research in the field of lithic technology and facilitating broader access to the prehistoric record. This initiative aligns with the promotion of Open Science practices in archaeological sciences, as advocated by Marwick et al. (2017). Description of the dataset This repository includes a zipped folder containing 3D meshes in ply format (CTC_3d_Meshes.zip), accompanied by a csv file containing crucial information essential for the scientific utilization of the models (CTC_3D_Dataset.csv). The unique ID assigned to each item, compiled by A. Falcucci during data collection, comprises the site abbreviation (CTC) and a progressive numeric system. The attributes in the csv file are listed and described below: ID: A unique identifier for each lithic artifact, consisting of the site abbreviation (CTC) and a numeric progression. Scanner: Information indicating which scanner was used for obtaining the 3D models, either the Artec Spider or the Artec Micro. Layer: Stratigraphic layer of provenience, categorized as rsa’, gic, or ars. Raw_material: Classification of lithics based on raw material’s macro-categories, including coarse-grained chert, fine-grained chert, limestone, quartzite, radiolarite, and undetermined. Class: Sorting of artifacts into classes such as blank, core, core-tool, hammerstone, and tool. Blank: Classification of knapped artifacts according to the blank category (blade, bladelet, flake, other, and undetermined). Technology: Sorting of artifacts into technological categories, including initialization, maintenance, optimal, other, semi-cortical, and undetermined. Cortex: Estimated percentage of cortex, categorized as 0%, 1-33%, 33-66%, 66-99%, and 100%. Preservation: Classification of blanks based on their degree of breakage, such as complete, distal, mesial, proximal, and undetermined. Cores and core-tools are not classified here. Volume: Volume of artifacts in cubic millimeters. Surface: Surface area of artifacts in square millimeters. Length, Width, and Thickness: Maximal linear dimensions in millimeters of artifacts based on their technological orientation. Core_classification: Classification of cores and core-tools into various technological categories, including bipolar, carinated, platform cores, and core shatters. This detailed list enhances the utility and encourages the reuse of the 3D models for scientific purposes. Additionally, the unique ID enables the collection of additional techno-typological information available in the published dataset associated with the lithic technology paper: https://doi.org/10.5281/zenodo.10639552. We strongly recommend that users of the 3D models refer to the GitHub repository to obtain the most up-to-date techno-typological information. Additionally, we kindly ask users to provide proper attribution for both datasets. References Douka K., Higham T., Wood R. et al. (2014) On the chronology of the Uluzzian. J. Hum. Evol., 68: 1-13. doi:10.1016/j.jhevol.2013.12.007 Falcucci A. (2022) MicroStone: Exploring the capabilities of the Artec Micro in scanning stone tools. protocols.io. doi:https://dx.doi.org/10.17504/protocols.io.81wgb6781lpk/v1 Gambassini P. (1997) Il Paleolitico di Castelcivita: Culture e Ambiente. Electa, Naples Giaccio B., Isaia R., Fedele F.G. et al. (2008) The Campanian Ignimbrite and Codola tephra layers: Two temporal/stratigraphic markers for the Early Upper Palaeolithic in southern Italy and eastern Europe. Journal of Volcanology and Geothermal Research, 177: 208-226. doi:https://doi.org/10.1016/j.jvolgeores.2007.10.007 Göldner D., Karakostis F.A. & Falcucci A. (2022a) Practical and technical aspects for the 3D scanning of lithic artefacts using micro-computed tomography techniques and laser light scanners for subsequent geometric morphometric analysis. Introducing the StyroStone protocol. PLoS One, 17: e0267163. doi:10.1371/journal.pone.0267163 Göldner D., Karakostis F.A. & Falcucci A. (2022b) StyroStone: A protocol for scanning and extracting three-dimensional meshes of stone artefacts using Micro-CT scanners V.2. protocols.io. doi:dx.doi.org/10.17504/protocols.io.4r3l24d9qg1y/v2 Marwick B., d’Alpoim Guedes J., Barton C.M. et al. (2017) Open science in archaeology. SAA Archaeological Record, 17: 8-14. doi:10.17605/OSF.IO/3D6XX Funding statement and acknowledgements Research and fieldwork at Grotta di Castelcivita are coordinated by Adriana Moroni and Annamaria Ronchitelli of the University of Siena. The digitization of lithic artifacts received support from the Deutsche Forschungsgemeinschaft (DFG) under grant agreement no. 431809858, with the project titled "Investigating Early Upper Paleolithic Technological Variability and Cultural Dynamics South of the Alps", awarded to Armando Falcucci. Access to scanning instrumentation was provided by the Department of Geosciences, Early Prehistory and Quaternary Ecology working group at the Eberhard Karls University of Tübingen. Gratitude is expressed to the Soprintendenza Archeologia Belle Arti e Paesaggio per le province di Salerno e Avellino for permissions and ongoing support for the research. The Società Grotte di Castelcivita and the Municipality of Castelcivita are acknowledged for their logistical support. Recognition is extended to all researchers and students actively involved in the recovery, preparation, and study of the archaeological record from Grotta di Castelcivita throughout the years of research at the site. Finally, our fondest remembrance goes to Paolo Gambassini, whose research activities played a crucial role in making this study possible.

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    Authors: Macháček, Dominik; Žilinec, Matúš; Bojar, Ondřej;

    ESIC (Europarl Simultaneous Interpreting Corpus) is a corpus of 370 speeches (10 hours) in English, with manual transcripts, transcribed simultaneous interpreting into Czech and German, and parallel translations. The corpus contains source English videos and audios. The interpreters' voices are not published within the corpus, but there is a tool that downloads them from the web of European Parliament, where they are publicly avaiable. The transcripts are equipped with metadata (disfluencies, mixing voices and languages, read or spontaneous speech, etc.), punctuated, and with word-level timestamps. The speeches in the corpus come from the European Parliament plenary sessions, from the period 2008-11. Most of the speakers are MEP, both native and non-native speakers of English. The corpus contains metadata about the speakers (name, surname, id, fraction) and about the speech (date, topic, read or spontaneous). ESIC has validation and evaluation parts. The current version is ESIC v1.1, it extends v1.0 with manual sentence alignment of the tri-parallel texts, and with bi-parallel sentence alignment of English original transcripts and German interpreting.

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    LINDAT/CLARIN repository
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      LINDAT/CLARIN repository
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    Authors: Chen, Xi; Samory, Mattia; Hale, Scott; Jurgens, David; +1 Authors

    This dataset contains the extended version of the authors' earlier work: https://zenodo.org/records/6507872, where pairs of news articles drawn from the first half of 2020 are annotated for seven aspects of similarity in the original version as well as an additional FRAME aspect: GEO: How similar is the geographic focus (places, cities, countries, etc.) of the two articles? ENT: How similar are the named entities (e.g., people, companies, organizations, products, named living beings), excluding previously considered locations appearing in the two articles? TIME Are the two articles relevant to similar time periods or describing similar time periods? NAR How similar are the narrative schemas presented in the two articles? OVERALL Overall, are the two articles covering the same substantive news story? (excluding style, framing, and tone) STYLE Do the articles have similar writing styles? TONE Do the articles have similar tones? FRAME Do the articles have similar framing and express similar opinions?

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    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: Novak, Erik; Calcina, Erik; Mladenić, Dunja; Grobelnik, Marko;

    The OG2021 corpus contains multilingual news articles that are reporting on the events happening during the 2021 Tokyo Olympics. The data set was created to evaluate the clustering algorithm. The articles were initially acquired via the EventRegistry service, clustered using an online news clustering algorithm, and finally manually inspected and annotated by a single evaluator using translation services to understand the meaning of the articles' content. The corpus consists of a single file called og2021.csv, which contains the data of 10.940 news articles grouped into 1.350 clusters. Each article has the following attributes: - id: The ID of the news article. - title: The title of the article. - lang: The language in which the article is written. Can be one of nine values. - source: The news publisher's name. - published_at: The date and time when the article was published. The published dates range between 2021-07-01 and 2021-08-14. - URL: The URL location of the news article. - cluster_id: The ID of the cluster the article is a member of. The dataset is also published with the body attribute but under a more restrictive licence. It can be found at http://hdl.handle.net/11356/1921.

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    CLARIN.SI repository
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      CLARIN.SI repository
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    Authors: Novak, Erik; Calcina, Erik; Mladenić, Dunja; Grobelnik, Marko;

    The OG2021 corpus contains multilingual news articles that are reporting on the events happening during the 2021 Tokyo Olympics. The data set was created to evaluate the clustering algorithm. The articles were initially acquired via the EventRegistry service, clustered using an online news clustering algorithm, and finally manually inspected and annotated by a single evaluator using translation services to understand the meaning of the articles' content. The corpus consists of a single file called og2021.csv, which contains the data of 10.940 news articles grouped into 1.350 clusters. Each article has the following attributes: - id: The ID of the news article. - title: The title of the article. - body: The body of the article. - lang: The language in which the article is written. Can be one of nine values. - source: The news publisher's name. - published_at: The date and time when the article was published. The published dates range between 2021-07-01 and 2021-08-14. - URL: The URL location of the news article. - cluster_id: The ID of the cluster the article is a member of.

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    Authors: Leemans, Inger; Tonelli, Sara; Christlein, Vincent; Troncy, Raphaël; +2 Authors

    This resource of the Olfactory Heritage Toolkit (DOI 10.5281/zenodo.10700210) presents an overview of places and spaces that are often mentioned in European digitized texts or depicted in images (1600-1920) as having a significant smellscape. The list is compiled by the Odeuropa project, to support cultural heritage policy makers to envision where smell may play a significant role and help heritage communities to acknowledge the value of olfaction in heritage contexts. Furthermore, the data may enable heritage documentation systems (e.g. digital collection management systems used by libraries, archives, museums, (in)tangible heritage lists, heritage classification systems) to include olfaction in their documents and resources.

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      ZENODO
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    Authors: Leemans, Inger; Troncy, Raphaël; Tonelli, Sara; Bembibre, Cecilia; +1 Authors

    This resourcefor the Olfactory Heritage Toolkit (https://doi.org/10.5281/zenodo.10700211) presents an overview of smells and olfactory objects that are often mentioned in European digitized texts as having significant values. The list is compiled by the Odeuropa project to support cultural heritage policy makers to envision what kinds of smells and olfactory objects may have played or still play a significant role in European culture. Furthermore, the data may enable heritage documentation systems (e.g. digital collection management systems used by libraries, archives, museums, (in)tangible heritage lists, heritage classification systems) to include olfaction in their documents and resources.

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    Authors: Previtali, Mattia; Barazzetti, Luigi; Oreni, Daniela; CUCA, BRANKA; +2 Authors

    This dataset was created during ENGINEER project activities and is accessible only upon user request and approval by the responsible national authority of Cyprus, namely the Department of Antiquities. The dataset pertains to data acquired at the tombs of the kings using a Faro Focus S70 laser scanner. 

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    Authors: Gansell, Amy Rebecca; Alstola, Tero; Jauhiainen, Heidi; Svärd, Saana;

    This repository contains the data used for and generated during our research for the article "Neo-Assyrian Imperial Religion Counts: A Quantitative Approach to the Affiliations of Kings and Queens with their Gods and Goddesses" by Amy Rebecca Gansell, Tero Alstola, Heidi Jauhiainen, and Saana Svärd, published in the Journal of Ancient Near Eastern Religions. In the article, we study the relationships between Neo-Assyrian deities, kings, and queens. Our text data on kings comes from the Open Richly Annotated Cuneiform Corpus (Oracc). After preprocessing our dataset, we analyzed 575 texts in which at least one king and one deity co-occur within a window of ten words. These texts come from the Oracc projects RINAP, RIAo, RIBo, and SAAo. The connections between queens and deities were collected manually. The folders in this repository contain the following: Kings: Files that relate to the textual dataset on kings and deities, including various statistics and the text file from which we extracted the co-occurrences of kings and deities within a window of ten words. OraccData: Oracc texts and their metadata converted to .tsv files. Queens: Data used for analyzing the co-occurrences of queens and deities, including some statistics. Standardization: Lists used for standardizing proper nouns in the textual data. Tables: Full versions of the tables that are published in a shortened form in the article. We gratefully acknowledge that our research has been funded by the Academy of Finland (decision numbers 298647, 312051, and 330727). Our research data originates from the Open Richly Annotated Cuneiform Corpus (Oracc). We thank Oracc for their efforts in making linguistically annotated cuneiform texts available online. We are indebted to everyone who has been involved in creating this research data, including the authors of the original publications and the researchers who have made the data Oracc-compatible and enriched it through lemmatizations and by adding other metadata (for a list of projects and their contributors, see the file OraccCredits.txt). In the context of this article and dataset, we want to acknowledge the work of the Munich Open-access Cuneiform Corpus Initiative (PIs Karen Radner and Jamie Novotny) and the Royal Inscriptions of the Neo-Assyrian Period project (PI Grant Frame) in particular. We thank Jamie Novotny for making the royal inscriptions of Sargon II from the RINAP 2 project available to us before their publication. We thank Aleksi Sahala for support with the Pmizer tool and running the first co-occurrence lists, Johannes Bach for helping to develop the rules to replace first person verbs and pronouns, Repekka Uotila for help with preliminary analysis of our data, and Shana Zaia for feedback on earlier drafts of the article.

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    Authors: Falcucci, Armando; Arrighi, Simona; Spagnolo, Vincenzo; Rossini, Matteo; +7 Authors

    Research compendium for 'A pre-Campanian Ignimbrite techno-cultural shift in the Aurignacian sequence of Grotta di Castelcivita, southern Italy' Compendium DOI: https://doi.org/10.5281/zenodo.10639553 The content available at the above provided URL will reproduce the results as documented in the first paper's submission. Instead, the files hosted at https://github.com/ArmandoFalcucci/Castelcivita-Aur-Techno represent the developmental versions and might have undergone modifications since the paper's publication. Maintainer of this repository: Armando Falcucci (armando.falcucci@uni-tuebingen.de; https://orcid.org/0000-0002-3255-1005) Submitted paper: Armando Falcucci, Simona Arrighi, Vincenzo Spagnolo, Matteo Rossini, Owen Higgins, Brunella Muttillo, Ivan Martini, Jacopo Crezzini, Francesco Boschin, Annamaria Ronchitelli, Adriana Moroni. A pre-Campanian Ignimbrite techno-cultural shift in the Aurignacian sequence of Grotta di Castelcivita, southern Italy. In preparation (2024). Abstract: The Aurignacian is the first European technocomplex assigned to Homo sapiens identified across a wide geographic extent. Although archaeologists have identified marked chrono-cultural shifts within the Aurignacian mostly by examining the techno-typological variations of stone tools, unraveling the underlying processes driving these changes remains a significant scientific challenge. Scholars have, for instance, hypothesized that the Campanian Ignimbrite (CI) super-eruption and the climatic deterioration associated with the onset of Heinrich Event 4 had a substantial impact on European foraging groups. The technological shift from the Protoaurignacian to the Early Aurignacian is regarded as an archaeological manifestation of adaptation to changing environments. However, some of the most crucial regions and stratigraphic sequences for testing these scenarios have been overlooked. In this study, we delve into the high-resolution stratigraphic sequence of Grotta di Castelcivita in southern Italy. Here, the Uluzzian is followed by three Aurignacian layers, all sealed by the eruptive units of the CI. Employing a comprehensive range of quantitative methods—encompassing attribute analysis, 3D model analysis, and geometric morphometrics—we demonstrate that the technological features commonly associated with the Early Aurignacian developed well before the deposition of the CI tephra. Our study provides thus the first direct evidence that the volcanic eruption played no role in this cultural process. Furthermore, we show that local paleo-environmental proxies do not correlate with the identified patterns of cultural continuity and discontinuity. Consequently, we propose alternative research paths to explore the role of demography and regional trajectories in the development of the Upper Paleolithic. Keywords: Early Upper Paleolithic; Italy; Aurignacian; lithic technology; geometric morphometrics; 3D model analysis; cultural evolution; human-environment interaction; open science. Overview of contents and how to reproduce: Within this repository, various folders house data (data), code (script), and output files (output) pertinent to the paper. The data folder encompasses the complete dataset, the core dataset, and 2D outline coordinates utilized for the geometric morphometrics study. To replicate the results, download the entire repository and employ Castelcivita-Aur-Techno.Rproj and open the folder script, following the numbered folder structure. For ensuring reproducibility, the renv package (v. 1.0.3) was utilized, following the procedures detailed in its vignette. All analyses and visualizations in the paper were conducted using R 4.3.1 on Microsoft Windows 10.0.19045 (64-bit). As the necessary packages are available in the renv folder, they are not explicitly listed here. Licenses: Code: MIT (http://opensource.org/licenses/MIT), copyright holder: Armando Falcucci (2024). Data and intellectual work: Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), copyright holder: the authors (2024).

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    Authors: Falcucci, Armando; Moroni, Adriana;

    Overview The repository contains an extensive dataset (n = 538) comprising 3D meshes representing various classes of lithic artifacts such as cores, blades, bladelets, flakes, and retouched tools. These artifacts originate from the Protoaurignacian (rsa') and Early Aurignacian (gic, ars) layers of Grotta di Castelcivita (40.49563600N, 015.20922177E) in southern Italy (Gambassini, 1997). The layers date back to approximately 41,000 to 39,800 years ago (Douka et al., 2014). A new technological assessment of the rsa’–ars sequence has been conducted utilizing the models included in this repository (Falcucci et al., in preparation). Grotta di Castelcivita holds significant importance for the study of Early Upper Paleolithic cultural dynamics due to its substantial archaeological content and the presence of the Campanian Ignimbrite geochronological marker, which seals the archaeological sequence of the site (Giaccio et al., 2008). The artifacts in this dataset were 3D-scanned using an Artec Space Spider and an Artec Micro, both from Artec Inc. in Luxembourg. The scanning process adhered to recently published protocols (Falcucci, 2022; Göldner et al., 2022b; Göldner et al., 2022a). The use of the Artec Micro was particularly instrumental in digitizing extremely small lithics, such as retouched bladelets with length values around 1 cm. The creation of this open-access repository is intended to encourage archaeologists to participate in collaborative initiatives, thereby contributing to the advancement of research in the field of lithic technology and facilitating broader access to the prehistoric record. This initiative aligns with the promotion of Open Science practices in archaeological sciences, as advocated by Marwick et al. (2017). Description of the dataset This repository includes a zipped folder containing 3D meshes in ply format (CTC_3d_Meshes.zip), accompanied by a csv file containing crucial information essential for the scientific utilization of the models (CTC_3D_Dataset.csv). The unique ID assigned to each item, compiled by A. Falcucci during data collection, comprises the site abbreviation (CTC) and a progressive numeric system. The attributes in the csv file are listed and described below: ID: A unique identifier for each lithic artifact, consisting of the site abbreviation (CTC) and a numeric progression. Scanner: Information indicating which scanner was used for obtaining the 3D models, either the Artec Spider or the Artec Micro. Layer: Stratigraphic layer of provenience, categorized as rsa’, gic, or ars. Raw_material: Classification of lithics based on raw material’s macro-categories, including coarse-grained chert, fine-grained chert, limestone, quartzite, radiolarite, and undetermined. Class: Sorting of artifacts into classes such as blank, core, core-tool, hammerstone, and tool. Blank: Classification of knapped artifacts according to the blank category (blade, bladelet, flake, other, and undetermined). Technology: Sorting of artifacts into technological categories, including initialization, maintenance, optimal, other, semi-cortical, and undetermined. Cortex: Estimated percentage of cortex, categorized as 0%, 1-33%, 33-66%, 66-99%, and 100%. Preservation: Classification of blanks based on their degree of breakage, such as complete, distal, mesial, proximal, and undetermined. Cores and core-tools are not classified here. Volume: Volume of artifacts in cubic millimeters. Surface: Surface area of artifacts in square millimeters. Length, Width, and Thickness: Maximal linear dimensions in millimeters of artifacts based on their technological orientation. Core_classification: Classification of cores and core-tools into various technological categories, including bipolar, carinated, platform cores, and core shatters. This detailed list enhances the utility and encourages the reuse of the 3D models for scientific purposes. Additionally, the unique ID enables the collection of additional techno-typological information available in the published dataset associated with the lithic technology paper: https://doi.org/10.5281/zenodo.10639552. We strongly recommend that users of the 3D models refer to the GitHub repository to obtain the most up-to-date techno-typological information. Additionally, we kindly ask users to provide proper attribution for both datasets. References Douka K., Higham T., Wood R. et al. (2014) On the chronology of the Uluzzian. J. Hum. Evol., 68: 1-13. doi:10.1016/j.jhevol.2013.12.007 Falcucci A. (2022) MicroStone: Exploring the capabilities of the Artec Micro in scanning stone tools. protocols.io. doi:https://dx.doi.org/10.17504/protocols.io.81wgb6781lpk/v1 Gambassini P. (1997) Il Paleolitico di Castelcivita: Culture e Ambiente. Electa, Naples Giaccio B., Isaia R., Fedele F.G. et al. (2008) The Campanian Ignimbrite and Codola tephra layers: Two temporal/stratigraphic markers for the Early Upper Palaeolithic in southern Italy and eastern Europe. Journal of Volcanology and Geothermal Research, 177: 208-226. doi:https://doi.org/10.1016/j.jvolgeores.2007.10.007 Göldner D., Karakostis F.A. & Falcucci A. (2022a) Practical and technical aspects for the 3D scanning of lithic artefacts using micro-computed tomography techniques and laser light scanners for subsequent geometric morphometric analysis. Introducing the StyroStone protocol. PLoS One, 17: e0267163. doi:10.1371/journal.pone.0267163 Göldner D., Karakostis F.A. & Falcucci A. (2022b) StyroStone: A protocol for scanning and extracting three-dimensional meshes of stone artefacts using Micro-CT scanners V.2. protocols.io. doi:dx.doi.org/10.17504/protocols.io.4r3l24d9qg1y/v2 Marwick B., d’Alpoim Guedes J., Barton C.M. et al. (2017) Open science in archaeology. SAA Archaeological Record, 17: 8-14. doi:10.17605/OSF.IO/3D6XX Funding statement and acknowledgements Research and fieldwork at Grotta di Castelcivita are coordinated by Adriana Moroni and Annamaria Ronchitelli of the University of Siena. The digitization of lithic artifacts received support from the Deutsche Forschungsgemeinschaft (DFG) under grant agreement no. 431809858, with the project titled "Investigating Early Upper Paleolithic Technological Variability and Cultural Dynamics South of the Alps", awarded to Armando Falcucci. Access to scanning instrumentation was provided by the Department of Geosciences, Early Prehistory and Quaternary Ecology working group at the Eberhard Karls University of Tübingen. Gratitude is expressed to the Soprintendenza Archeologia Belle Arti e Paesaggio per le province di Salerno e Avellino for permissions and ongoing support for the research. The Società Grotte di Castelcivita and the Municipality of Castelcivita are acknowledged for their logistical support. Recognition is extended to all researchers and students actively involved in the recovery, preparation, and study of the archaeological record from Grotta di Castelcivita throughout the years of research at the site. Finally, our fondest remembrance goes to Paolo Gambassini, whose research activities played a crucial role in making this study possible.

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    Authors: Macháček, Dominik; Žilinec, Matúš; Bojar, Ondřej;

    ESIC (Europarl Simultaneous Interpreting Corpus) is a corpus of 370 speeches (10 hours) in English, with manual transcripts, transcribed simultaneous interpreting into Czech and German, and parallel translations. The corpus contains source English videos and audios. The interpreters' voices are not published within the corpus, but there is a tool that downloads them from the web of European Parliament, where they are publicly avaiable. The transcripts are equipped with metadata (disfluencies, mixing voices and languages, read or spontaneous speech, etc.), punctuated, and with word-level timestamps. The speeches in the corpus come from the European Parliament plenary sessions, from the period 2008-11. Most of the speakers are MEP, both native and non-native speakers of English. The corpus contains metadata about the speakers (name, surname, id, fraction) and about the speech (date, topic, read or spontaneous). ESIC has validation and evaluation parts. The current version is ESIC v1.1, it extends v1.0 with manual sentence alignment of the tri-parallel texts, and with bi-parallel sentence alignment of English original transcripts and German interpreting.

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    LINDAT/CLARIN repository
    Dataset . 2024
    License: CC BY NC SA
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      LINDAT/CLARIN repository
      Dataset . 2024
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    Authors: Chen, Xi; Samory, Mattia; Hale, Scott; Jurgens, David; +1 Authors

    This dataset contains the extended version of the authors' earlier work: https://zenodo.org/records/6507872, where pairs of news articles drawn from the first half of 2020 are annotated for seven aspects of similarity in the original version as well as an additional FRAME aspect: GEO: How similar is the geographic focus (places, cities, countries, etc.) of the two articles? ENT: How similar are the named entities (e.g., people, companies, organizations, products, named living beings), excluding previously considered locations appearing in the two articles? TIME Are the two articles relevant to similar time periods or describing similar time periods? NAR How similar are the narrative schemas presented in the two articles? OVERALL Overall, are the two articles covering the same substantive news story? (excluding style, framing, and tone) STYLE Do the articles have similar writing styles? TONE Do the articles have similar tones? FRAME Do the articles have similar framing and express similar opinions?

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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