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Research data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Funded by:EC | DeepFINEC| DeepFINAuthors: Oksanen, Eljas; Saarenpää, Ida; Lahtinen, Anu;Oksanen, Eljas; Saarenpää, Ida; Lahtinen, Anu;This dataset contains a proof-of-concept GIS database of over 29,000 individual historical road polyline segments as a shapefile dataset, covering over 11,000 km2 in the western Finland from the city of Turku to northern parts of the province of Satakunta. These polylines capture the regional layout of the overland transport infrastructure of late nineteenth and early twentieth century Finland. {"references": ["Oksanen, Eljas, Saarenp\u00e4\u00e4, Ida. and Lahtinen, Anu. 2023. The HISCOM Project. Exploring Methodologies for Large-scale Digitisation of Historical Roadways. SKAS 2/2022, 8-14"]}
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8335930&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 15visibility views 15 download downloads 14 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8335930&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023 PortugalPublisher:Liverpool University Press Funded by:EC | DUNESEC| DUNESAuthors: Ruwan D. Sampath; James Beattie; Joana Gaspar de Freitas;Ruwan D. Sampath; James Beattie; Joana Gaspar de Freitas;handle: 10451/48901
In the Anthropocene, predicted sea-level rise is expected to continue, threating human life and activities along the coast. Dunes play a vital role in providing protection from this threat, aside from the ‘ecosystem’ services that they supply. This article uses scientific, popular and unpublished sources from the nineteenth century and twentieth to examine New Zealand’s largest coastal dune system: the Manawatū-Whanganui dune field. Extending south from Pātea to Paekakariki, it comprises approximately 900 square kilometres. Here, destabilized dunes drifting inland caused social, economic and political problems over the last 150 years. In the nineteenth century, human activities were responsible for setting the dunes in motion. Debates about the matter and attempts to prevent and stop it were then occurring in many parts of the world. Since dunes were a common concern, knowledge and practices were shared and travelled between countries though experts and migrants. The consequences of the solutions implemented and new environmental conditions explain that dunes are still a major issue in the Manawatū- Whanganui region. This article presents a comparative analysis of historical and present- day human responses to dune management to better understand long-term dune drift, its mechanisms and responses. Despite looking at a local case, this study can be extrapolated to dunes worldwide. It shows that holistic management of coastal ecosystems must take into account interdisciplinary analyses of long-term relations between dunes and society. Otherwise, the full picture about the present situation of dunes cannot be apprehended, compromising the implementation of future adaptation measures. This is a pre-copy-editing, author-produced version of an article accepted in June 29, 2021 following peer review for publication in Environment & History [forthcoming] © The White Horse Press ERC (grant agreement nº 802918)
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3197/096734021x16328497562933&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 154visibility views 154 download downloads 86 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3197/096734021x16328497562933&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article , Presentation , Other literature type 2023 EnglishPublisher:Zenodo Funded by:EC | GOLEMEC| GOLEMPianzola, Federico; Yang, Xiaoyan; Visser, Noa; van der Ree, Michiel; van Cranenburgh, Andreas;This paper presents the first release of a graph database of online fiction corpora taken from various sources in five different languages (English, Spanish, Italian, Indonesian, Korean). The goal is to describe texts using “derived data” (OECD, 2005) – or “mesodata” (Boot, 2009) – referring to various textual features, so that comparisons between documents could be done without accessing the full text of the documents. The idea is similar to that of the HathiTrust Extracted Features dataset (Jett et al., 2020), but the features encoded in the GOLEM project (“Graphs and Ontologies for Literary Evolution Models”) are much richer and also refer to narrative and stylistic elements and to reader response data (e.g. characters, relationships, topics, readability, sentiment of comments received by the story, etc.) collected from likes and comments left on the stories. Something similar has already been done on a smaller scale for a selection of texts in English (Piper, 2022) and Dutch (Luoto and van Cranenburgh, 2021). The creation of the GOLEM has been inspired by such work but will operate on a completely different scale, which requires the automation of the extraction of textual features for millions of stories. The core concept of the GOLEM infrastructure is that of “programmable corpora”, i.e. “research-oriented corpora providing an API” (Fischer et al., 2019), which allows to easily reapply scripts, notebooks, and pipelines of analysis to all texts in the corpora, inasmuch as they are encoded following the same principles and can be queried via the same API and SPARQL endpoint. Since the GOLEM focuses primarily on derived data, there is no need for a resource-intensive XML database of texts encoded in TEI. Only statements about the texts and their reception will be stored in the database, following existing ontologies as closely as possible in order to maximize the compatibility with other relevant projects, like Wikidata and MiMoText (Schöch et al., 2022). Beside choosing three of the most spoken Western languages, Korean and Indonesian have been included because these cultures have a peculiar role in the worldwide digital reading landscape. On one hand, K-pop and K-drama inspire many works of fanfiction in all the mentioned languages, and are quite influential among youth, particularly in Europe. On the other hand, the Indonesian case is extremely important to understand the evolution of fiction more broadly, because it is culturally very distant from all the other considered countries (Muthukrishna et al., 2020) and Korean culture is very influential among Indonesian youth. Hence, it will be interesting to compare how cultural traits spread differently in countries with different wealth, educational level, and cultural influence. Moreover, Indonesia is a densely populated developing country in which for many people it is easier to access online fiction than print books (Rokib, 2019; Yoesoef, 2020) thus it offers a lot of data. Once metadata and derived data for all texts will be included, the GOLEM will be an almost complete database of all fanfiction published online in English, Spanish, Italian, Indonesian, and Korean during the years 2000-2022, which correspond to almost the whole lifetime of the genre of online fanfiction. As such, the GOLEM will be an excellent resource to test hypothesis about the evolution of fiction writing and reader response without the influence of external factors like the historical selection by publishers or educational curricula. We have already created a pilot ontology (Pianzola, 2020) and used it for some analyses (Pianzola et al., 2020), showing how this kind of data can offer interesting insights for research in both cultural evolution and literary studies. Boot, P. (2009). Mesotext: Digitised Emblems, Modelled Annotations and Humanities Scholarship. Amsterdam University Press. Fischer, F. et al. (2019). Programmable Corpora: Introducing DraCor, an Infrastructure for the Research on European Drama. 10.5281/zenodo.4284002. Jett, J. et al. (2020). The HathiTrust Research Center Extracted Features Dataset (2.0). 10.13012/R2TE-C227. Luoto, S. and van Cranenburgh, A. (2021). Psycholinguistic Dataset on Language Use in 1145 Novels Published in English and Dutch. Data in Brief, 34, p. 106655. 10.1016/j.dib.2020.106655. Muthukrishna, M. et al. (2020). Beyond Western, Educated, Industrial, Rich, and Democratic (WEIRD) Psychology: Measuring and Mapping Scales of Cultural and Psychological Distance. Psychological Science, p. 095679762091678. 10.1177/0956797620916782. OECD. (2005). Derived Data Element. OECD Glossary of Statistical Terms.https://stats.oecd.org/glossary/detail.asp?ID=5130 (accessed 4 November 2022). Pianzola, F. (2020). Linked-Potter: An Example of Ontology for the Study of the Evolution of Literature and Reading Communities. In Hodošček, B. (ed.), JADH2020 Proceedings of the 10th Conference of the Japanese Association of Digital Humanities “A New Decade in Digital Scholarship: Microcosms and Hubs”. Osaka, Japan: Graduate School of Language and Culture, Osaka University, pp. 28–32.https://jadh2020.lang.osaka-u.ac.jp/programme/longpaper/pianzola-linked.html. Pianzola, F., Acerbi, A. and Rebora, S. (2020). Cultural Accumulation and Improvement in Online Fan Fiction. In CHR 2020: Workshop on Computational Humanities Research, November 18–20, 2020, Amsterdam, The Netherlands. CEUR Workshop Proceedings, pp. 2–11.http://ceur-ws.org/Vol-2723/short8.pdf. Piper, A. (2022). (0) The CONLIT Dataset of Contemporary Literature. Journal of Open Humanities Data, 8(0), p. 24. 10.5334/johd.88. Rokib, M. (2019). The Polemics of Digital Literature in Indonesia. Advances in Social Science, Education and Humanities Research, 380, pp. 287–92. Schöch, C. et al. (2022). Smart Modelling for Literary History. International Journal of Humanities and Arts Computing, 16(1), pp. 78–93. 10.3366/ijhac.2022.0278. Yoesoef, M. (2020). Cyber Literature: Wattpad and Webnovel as Generation Z Reading in the Digital World. In Proceedings of the International University Symposium on Humanities and Arts (INUSHARTS 2019). International University Symposium on Humanities and Arts (INUSHARTS 2019). Depok, Indonesia: Atlantis Press. 10.2991/assehr.k.200729.025.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8107748&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 33visibility views 33 download downloads 37 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8107748&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 NetherlandsPublisher:MDPI AG Funded by:EC | SensJusEC| SensJusAuthors: Suman, Anna Berti; Alblas, E.C.;Suman, Anna Berti; Alblas, E.C.;doi: 10.3390/su15054496
People over the course of history have survived by developing their ability to ‘sense’ their environment as an embryonic form of citizen science. With the emergence of modern states, governments have assumed responsibility for monitoring the quality of the environment, and progressively the practice and role of citizen science has changed. This review explores the different manifestations of citizen science over time, with a focus on its law and governance dimensions, reading this evolution as a critical analysis of the current discourses around citizen science. The evolution of citizen science throughout history and its transformation shows certain patterns that are highlighted in this article as ‘constant’ features, whereas other features are instead interrupted and reversed, and new ones emerge. We thus examined citizen science over time by asking what is really new about this phenomenon, focusing on constants—permanent features—and turning points—changes in direction. We argue that these dynamics are central to understanding the promises and perils of the practice, to fully grasping the forms of uninvited, reactive environmental citizen science and to scoping foreseeable future scenarios.
Sustainability; ZENO... arrow_drop_down Sustainability; ZENODO; Research@WUROther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: https://www.mdpi.com/2071-1050/15/5/4496/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15054496&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Top 10% influence Top 10% impulse Average Powered by BIP!more_vert Sustainability; ZENO... arrow_drop_down Sustainability; ZENODO; Research@WUROther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: https://www.mdpi.com/2071-1050/15/5/4496/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15054496&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Italy, SpainPublisher:MDPI AG Funded by:EC | HYPERIONEC| HYPERIONHernández-Montes, Enrique; Hdz-Gil, Luisa; Coletti, Chiara; Dilaria, Simone; Germinario, Luigi; Mazzoli, Claudio;handle: 10481/80404
This work presents a methodology for obtaining a quantitative expression of the superficial deterioration of bricks affected by climatic conditions. The method combines in situ measurements with laboratory data. Input data on material recession were obtained from photogrammetric observations, the material properties were derived from laboratory tests or the relevant literature, and climate data were provided from regional environmental monitoring service. The climatic parameters considered in this study are: relative humidity, number of freeze-thaw cycles (i.e., mean number of days per year with temperatures below zero), and peak sun hours per day. The methodology proposed estimates the deterioration rate of brick façades under variable climate conditions over time. As a conclusion of this research, a new tool for the structural evaluation of brick walls is presented. European Union Framework Programme for Research and Innovation (Horizon 2020) under grant agreement no. 821054
ZENODO; Heritage arrow_drop_down ZENODO; HeritageOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2571-9408/6/1/25/pdfRepositorio Institucional Universidad de GranadaArticle . 2023Data sources: Repositorio Institucional Universidad de Granadaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/heritage6010025&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 10visibility views 10 download downloads 35 Powered bymore_vert ZENODO; Heritage arrow_drop_down ZENODO; HeritageOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2571-9408/6/1/25/pdfRepositorio Institucional Universidad de GranadaArticle . 2023Data sources: Repositorio Institucional Universidad de Granadaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/heritage6010025&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Presentation 2022 EnglishPublisher:Zenodo Funded by:EC | ARIADNEplusEC| ARIADNEplusAuthors: Moody, Bryony; Dye, Tom; May, Keith; Buck, Caitlin;Moody, Bryony; Dye, Tom; May, Keith; Buck, Caitlin;Archaeological excavations produce a wealth of data. Due to the unrepeatable nature of this fieldwork, once the site is fully excavated, digital records must be archived in a manner that best facilitates reuse. However, in our experience, despite the best efforts of digital repositories such as ADS, archiving data does not ensure reusability. In this talk, we discuss attempts to reuse data for chronological modelling. We focus on three case studies where the user wished to reuse digital chronological data and ran into problems. Following this, we will outline a prototype software we are developing for handling the relative and absolute dating evidence. This software focuses on evidence obtained during single context excavations, as carried out in many European countries such as the UK. This software uses mathematical graph theory to manage stratigraphic and chronological information during Bayesian chronology construction. We provide an overview of the process that the software follows. Following this, we will focus on managing data during this process. Such management includes: at which points in the process we save data from the software; what format should our data be in; and which data to archive. Finally, we provide recommendations specific to chronological data that seek to improve the reusability of such data for future users.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7298796&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 11visibility views 11 download downloads 12 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7298796&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Presentation 2022 EnglishPublisher:Zenodo Funded by:EC | ARIADNEplusEC| ARIADNEplusAuthors: Ore, Christian‐Emil;Ore, Christian‐Emil;This presentation addresses the practical exercise of aligning 597 Norwegian excavation databases from INTRASIS using CIDOC CRM. In Norway, INTRASIS has been the standard excavation documentation system since 2010: INTRASIS is extremely flexible and can be adapted to most excavation practices. This is done through a user defined metadata template, in which one can define object classes, subclasses, attributes and relations between the classes, as well as how these will be visualised on the maps. The flexibility also has a downside, since it can be hard to export data into a common database from a series of excavation databases based on adapted templates. As a result, a complete data integration requires some extra data cleaning. The process being used to achieve this and to link all the excavation datasets is described.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7108711&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 18visibility views 18 download downloads 29 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7108711&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Belgium, NetherlandsPublisher:Peer Community In Funded by:EC | SusAnEC| SusAnAdriaens, Ines; Ouweltjes, Wijbrand; Pastell, Matti; Ellen, Esther; Kamphuis, Claudia;In precision livestock farming, technology-based solutions are used to monitor and manage livestock and support decisions based on on-farm available data. In this study, we developed a methodology to monitor the lying behaviour of dairy cows using noisy spatial positioning data, thereby combining time-series segmentation based on statistical changepoints and a machine learning classification algorithm using bagged decision trees. Position data (x, y, z -coordinates) collected with an ultra-wide band positioning system from 30 dairy cows housed in a freestall barn were used. After the data pre-processing and selection, statistical changepoints were detected per cow-day (no. included = 331) in normalized 'distance from the centre of the barn' and (z) time series. Accelerometer-based lying bout data were used as a practical ground truth. For the segmentation, changepoint detection was compared with getting-up or lying-down events as indicated by the accelerometers. For the classification of segments into lying or non-lying behaviour, two data splitting techniques resulting in 2 different training and test sets were implemented to train and evaluate performance: one based on the data collection day and one based on cow identity. In 85.5% of the lying-down or getting-up events a changepoint was detected in a window of 5 minutes. Of the events where no detection had taken place, 86.2% could be associated with either missing data (large gaps) or a very short lying or non-lying bout. Overall classification and lying behaviour prediction performance was above 91% in both independent test sets, with a very high consistency across cow-days. Per cow-day, the average error in the estimation of the lying durations were 7.1% and 7.8% for the cow-identity and time-based data splits respectively. This resulted in sufficient accuracy for automated quantification of lying behaviour in dairy cows, for example for health or welfare monitoring purposes. ispartof: Peer Community Journal vol:2 status: published
NARCIS; Research@WUR arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.24072/pcjournal.167&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Top 10% influence Top 10% impulse Average Powered by BIP!visibility 122visibility views 122 download downloads 89 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.24072/pcjournal.167&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FinlandPublisher:MDPI AG Funded by:EC | ChaperonEC| ChaperonHemminki Kari; Sundquist Kristina; Sundquist Jan; Försti Asta; Liska Vaclav; Hemminki Akseli; Li Xinjun;Simple Summary Familial risk of cancer implies that two or more family members are diagnosed with the same cancer. This may be due to the genes or environmental factors that family members share. Familial risk for liver and gallbladder cancer is about 2.7 which means that when one family member is diagnosed with these cancers other family members have 2.7 times higher risk of being diagnosed with the same cancers compared to families were no member is yet diagnosed with these cancers. Risk between spouses is entirely due to shared environmental factors and for liver cancer there is a small risk. The most important way to prevent these cancers is to avoid their risk factors, alcohol, smoking and overweight, and to seek medical care for diabetes and liver infections. We used the Swedish Cancer Registry data to address familial risks for concordant (same) and discordant (different) hepatobiliary cancers, including their associations with any other cancers and with known risk factors. Risks were also assessed between spouses. The analysis covered Swedish families and their cancers between years 1958 and 2018. Adjusted familial risks were expressed as standardized incidence ratios (SIRs). Familial SIRs for concordant hepatocellular carcinoma (HCC) were 2.60, and for gallbladder cancer they were at the same level (2.76). Familial risk was also found for intrahepatic bile duct cancer and for female extrahepatic bile duct cancer. HCC was associated with lung and cervical cancers; extrahepatic bile duct and ampullary cancers were associated with colon and pancreatic cancers, suggesting Lynch syndrome. Among spouses, hepatobiliary cancer was associated with HCC, stomach, pancreatic, cervical and upper aerodigestive tract cancers. Among risk factors, family members diagnosed with alcohol-related disease showed association with HCC. The observed familial risks for hepatobiliary cancers were relatively high, and considering the poor prognosis of these cancers, prevention is of the utmost importance and should focus on moderation of alcohol consumption, vaccination/treatment of hepatitis viral infections and avoidance of overweight and other risk factors of type 2 diabetes. Peer reviewed
ZENODO; Cancers arrow_drop_down ZENODO; CancersOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2072-6694/14/8/1938/pdfHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/cancers14081938&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 7visibility views 7 download downloads 17 Powered bymore_vert ZENODO; Cancers arrow_drop_down ZENODO; CancersOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2072-6694/14/8/1938/pdfHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/cancers14081938&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Report 2022 FinlandPublisher:Zenodo Funded by:EC | SSHOCEC| SSHOCKleemola, Mari; Ala-Lahti, Henri; Alaterä, Tuomas; L'Hours, Hervé; Mathers, Benjamin Jacob; Broeder, Daan; van Horik, René; Jerlehag, Birger; Degl'Innocenti, Emiliano; Sanesi, Maurizio; Koski, Niko;Research data should be managed, curated, stored and shared in a way that lives up to the expectations regarding trustworthiness and quality, provides sustainability and preserves the investments. The Trustworthy Digital Repository standards which have emerged from the Open Archival Information System (OAIS) reference model offer a certification solution for repositories. CoreTrustSeal (CTS) offers baseline certification and supports the concept of outsourcing. Adopting workflows and guidelines from CoreTrustSeal is also a way to assure that the data published by the repository follow the FAIR principles. Even outside of the formal certification framework the CoreTrustSeal criteria provide a demonstrable approach to internal and external review, supporting a benchmark for comparison and a means to determine the strengths and weaknesses of data repositories. This deliverable is the final deliverable of the SSHOC Task 8.2 Trust & Quality Assurance. It will describe the certification standards of Trustworthy Digital Repositories (TDRs) from the perspective of the SSH domain and summarise the certification support activities provided to the SSHOC community. The experiences gained from the support process will be considered in addition to the results of the examination of the trust in the domain of Social Sciences and Humanities (SSH) and the certification landscape. The support activities are based on the earlier work of T8.2 outlined in the Deliverable 8.1 Certification plan for SSHOC repositories, which laid the ground for the SSHOC trust work to facilitate the adoption of TDR standards and the FAIR principles in SSH data repositories. In this deliverable, ‘trust’ refers to the myriad of issues, standards and processes related to the level of trustworthiness of digital repositories. The deliverable will also discuss possible certification solutions for SSH repositories, consider the complex partnership models of TDRs and outsourcing of their services, and examine how trust can be sustainably managed after the SSHOC project. The experiences and feedback gained from the trust support work demonstrate that the support process has been beneficial for the repositories involved and allowed them to improve their procedures. While certification can be resource-intensive for certain repositories, there are few alternatives for a lighter certification beyond the core certification. The diversity of the SSH repository and data service landscape means that there is no certification solution suitable for all. Complex partnership models and outsourcing of services should also be considered when seeking certification. In some cases, organisations may opt for an assessment instead of formal certification. This has proven beneficial and useful for certain data services in improving their practices. Ensuring the sustainable management of trust is not solely dependent on assessment or certification, as trust goes beyond the technical aspects of repositories and also involves people. Therefore, future endeavours to manage trust should make use of the existing and planned networks of trustworthy repositories that can share both expertise and responsibility, while recognising the need for more enduring sources of funding for managing trust sustainably.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6530203&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 157visibility views 157 download downloads 105 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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Research data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Funded by:EC | DeepFINEC| DeepFINAuthors: Oksanen, Eljas; Saarenpää, Ida; Lahtinen, Anu;Oksanen, Eljas; Saarenpää, Ida; Lahtinen, Anu;This dataset contains a proof-of-concept GIS database of over 29,000 individual historical road polyline segments as a shapefile dataset, covering over 11,000 km2 in the western Finland from the city of Turku to northern parts of the province of Satakunta. These polylines capture the regional layout of the overland transport infrastructure of late nineteenth and early twentieth century Finland. {"references": ["Oksanen, Eljas, Saarenp\u00e4\u00e4, Ida. and Lahtinen, Anu. 2023. The HISCOM Project. Exploring Methodologies for Large-scale Digitisation of Historical Roadways. SKAS 2/2022, 8-14"]}
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8335930&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 15visibility views 15 download downloads 14 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8335930&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023 PortugalPublisher:Liverpool University Press Funded by:EC | DUNESEC| DUNESAuthors: Ruwan D. Sampath; James Beattie; Joana Gaspar de Freitas;Ruwan D. Sampath; James Beattie; Joana Gaspar de Freitas;handle: 10451/48901
In the Anthropocene, predicted sea-level rise is expected to continue, threating human life and activities along the coast. Dunes play a vital role in providing protection from this threat, aside from the ‘ecosystem’ services that they supply. This article uses scientific, popular and unpublished sources from the nineteenth century and twentieth to examine New Zealand’s largest coastal dune system: the Manawatū-Whanganui dune field. Extending south from Pātea to Paekakariki, it comprises approximately 900 square kilometres. Here, destabilized dunes drifting inland caused social, economic and political problems over the last 150 years. In the nineteenth century, human activities were responsible for setting the dunes in motion. Debates about the matter and attempts to prevent and stop it were then occurring in many parts of the world. Since dunes were a common concern, knowledge and practices were shared and travelled between countries though experts and migrants. The consequences of the solutions implemented and new environmental conditions explain that dunes are still a major issue in the Manawatū- Whanganui region. This article presents a comparative analysis of historical and present- day human responses to dune management to better understand long-term dune drift, its mechanisms and responses. Despite looking at a local case, this study can be extrapolated to dunes worldwide. It shows that holistic management of coastal ecosystems must take into account interdisciplinary analyses of long-term relations between dunes and society. Otherwise, the full picture about the present situation of dunes cannot be apprehended, compromising the implementation of future adaptation measures. This is a pre-copy-editing, author-produced version of an article accepted in June 29, 2021 following peer review for publication in Environment & History [forthcoming] © The White Horse Press ERC (grant agreement nº 802918)
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3197/096734021x16328497562933&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 154visibility views 154 download downloads 86 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3197/096734021x16328497562933&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article , Presentation , Other literature type 2023 EnglishPublisher:Zenodo Funded by:EC | GOLEMEC| GOLEMPianzola, Federico; Yang, Xiaoyan; Visser, Noa; van der Ree, Michiel; van Cranenburgh, Andreas;This paper presents the first release of a graph database of online fiction corpora taken from various sources in five different languages (English, Spanish, Italian, Indonesian, Korean). The goal is to describe texts using “derived data” (OECD, 2005) – or “mesodata” (Boot, 2009) – referring to various textual features, so that comparisons between documents could be done without accessing the full text of the documents. The idea is similar to that of the HathiTrust Extracted Features dataset (Jett et al., 2020), but the features encoded in the GOLEM project (“Graphs and Ontologies for Literary Evolution Models”) are much richer and also refer to narrative and stylistic elements and to reader response data (e.g. characters, relationships, topics, readability, sentiment of comments received by the story, etc.) collected from likes and comments left on the stories. Something similar has already been done on a smaller scale for a selection of texts in English (Piper, 2022) and Dutch (Luoto and van Cranenburgh, 2021). The creation of the GOLEM has been inspired by such work but will operate on a completely different scale, which requires the automation of the extraction of textual features for millions of stories. The core concept of the GOLEM infrastructure is that of “programmable corpora”, i.e. “research-oriented corpora providing an API” (Fischer et al., 2019), which allows to easily reapply scripts, notebooks, and pipelines of analysis to all texts in the corpora, inasmuch as they are encoded following the same principles and can be queried via the same API and SPARQL endpoint. Since the GOLEM focuses primarily on derived data, there is no need for a resource-intensive XML database of texts encoded in TEI. Only statements about the texts and their reception will be stored in the database, following existing ontologies as closely as possible in order to maximize the compatibility with other relevant projects, like Wikidata and MiMoText (Schöch et al., 2022). Beside choosing three of the most spoken Western languages, Korean and Indonesian have been included because these cultures have a peculiar role in the worldwide digital reading landscape. On one hand, K-pop and K-drama inspire many works of fanfiction in all the mentioned languages, and are quite influential among youth, particularly in Europe. On the other hand, the Indonesian case is extremely important to understand the evolution of fiction more broadly, because it is culturally very distant from all the other considered countries (Muthukrishna et al., 2020) and Korean culture is very influential among Indonesian youth. Hence, it will be interesting to compare how cultural traits spread differently in countries with different wealth, educational level, and cultural influence. Moreover, Indonesia is a densely populated developing country in which for many people it is easier to access online fiction than print books (Rokib, 2019; Yoesoef, 2020) thus it offers a lot of data. Once metadata and derived data for all texts will be included, the GOLEM will be an almost complete database of all fanfiction published online in English, Spanish, Italian, Indonesian, and Korean during the years 2000-2022, which correspond to almost the whole lifetime of the genre of online fanfiction. As such, the GOLEM will be an excellent resource to test hypothesis about the evolution of fiction writing and reader response without the influence of external factors like the historical selection by publishers or educational curricula. We have already created a pilot ontology (Pianzola, 2020) and used it for some analyses (Pianzola et al., 2020), showing how this kind of data can offer interesting insights for research in both cultural evolution and literary studies. Boot, P. (2009). Mesotext: Digitised Emblems, Modelled Annotations and Humanities Scholarship. Amsterdam University Press. Fischer, F. et al. (2019). Programmable Corpora: Introducing DraCor, an Infrastructure for the Research on European Drama. 10.5281/zenodo.4284002. Jett, J. et al. (2020). The HathiTrust Research Center Extracted Features Dataset (2.0). 10.13012/R2TE-C227. Luoto, S. and van Cranenburgh, A. (2021). Psycholinguistic Dataset on Language Use in 1145 Novels Published in English and Dutch. Data in Brief, 34, p. 106655. 10.1016/j.dib.2020.106655. Muthukrishna, M. et al. (2020). Beyond Western, Educated, Industrial, Rich, and Democratic (WEIRD) Psychology: Measuring and Mapping Scales of Cultural and Psychological Distance. Psychological Science, p. 095679762091678. 10.1177/0956797620916782. OECD. (2005). Derived Data Element. OECD Glossary of Statistical Terms.https://stats.oecd.org/glossary/detail.asp?ID=5130 (accessed 4 November 2022). Pianzola, F. (2020). Linked-Potter: An Example of Ontology for the Study of the Evolution of Literature and Reading Communities. In Hodošček, B. (ed.), JADH2020 Proceedings of the 10th Conference of the Japanese Association of Digital Humanities “A New Decade in Digital Scholarship: Microcosms and Hubs”. Osaka, Japan: Graduate School of Language and Culture, Osaka University, pp. 28–32.https://jadh2020.lang.osaka-u.ac.jp/programme/longpaper/pianzola-linked.html. Pianzola, F., Acerbi, A. and Rebora, S. (2020). Cultural Accumulation and Improvement in Online Fan Fiction. In CHR 2020: Workshop on Computational Humanities Research, November 18–20, 2020, Amsterdam, The Netherlands. CEUR Workshop Proceedings, pp. 2–11.http://ceur-ws.org/Vol-2723/short8.pdf. Piper, A. (2022). (0) The CONLIT Dataset of Contemporary Literature. Journal of Open Humanities Data, 8(0), p. 24. 10.5334/johd.88. Rokib, M. (2019). The Polemics of Digital Literature in Indonesia. Advances in Social Science, Education and Humanities Research, 380, pp. 287–92. Schöch, C. et al. (2022). Smart Modelling for Literary History. International Journal of Humanities and Arts Computing, 16(1), pp. 78–93. 10.3366/ijhac.2022.0278. Yoesoef, M. (2020). Cyber Literature: Wattpad and Webnovel as Generation Z Reading in the Digital World. In Proceedings of the International University Symposium on Humanities and Arts (INUSHARTS 2019). International University Symposium on Humanities and Arts (INUSHARTS 2019). Depok, Indonesia: Atlantis Press. 10.2991/assehr.k.200729.025.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8107748&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 33visibility views 33 download downloads 37 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8107748&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 NetherlandsPublisher:MDPI AG Funded by:EC | SensJusEC| SensJusAuthors: Suman, Anna Berti; Alblas, E.C.;Suman, Anna Berti; Alblas, E.C.;doi: 10.3390/su15054496
People over the course of history have survived by developing their ability to ‘sense’ their environment as an embryonic form of citizen science. With the emergence of modern states, governments have assumed responsibility for monitoring the quality of the environment, and progressively the practice and role of citizen science has changed. This review explores the different manifestations of citizen science over time, with a focus on its law and governance dimensions, reading this evolution as a critical analysis of the current discourses around citizen science. The evolution of citizen science throughout history and its transformation shows certain patterns that are highlighted in this article as ‘constant’ features, whereas other features are instead interrupted and reversed, and new ones emerge. We thus examined citizen science over time by asking what is really new about this phenomenon, focusing on constants—permanent features—and turning points—changes in direction. We argue that these dynamics are central to understanding the promises and perils of the practice, to fully grasping the forms of uninvited, reactive environmental citizen science and to scoping foreseeable future scenarios.
Sustainability; ZENO... arrow_drop_down Sustainability; ZENODO; Research@WUROther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: https://www.mdpi.com/2071-1050/15/5/4496/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15054496&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Top 10% influence Top 10% impulse Average Powered by BIP!more_vert Sustainability; ZENO... arrow_drop_down Sustainability; ZENODO; Research@WUROther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: https://www.mdpi.com/2071-1050/15/5/4496/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15054496&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Italy, SpainPublisher:MDPI AG Funded by:EC | HYPERIONEC| HYPERIONHernández-Montes, Enrique; Hdz-Gil, Luisa; Coletti, Chiara; Dilaria, Simone; Germinario, Luigi; Mazzoli, Claudio;handle: 10481/80404
This work presents a methodology for obtaining a quantitative expression of the superficial deterioration of bricks affected by climatic conditions. The method combines in situ measurements with laboratory data. Input data on material recession were obtained from photogrammetric observations, the material properties were derived from laboratory tests or the relevant literature, and climate data were provided from regional environmental monitoring service. The climatic parameters considered in this study are: relative humidity, number of freeze-thaw cycles (i.e., mean number of days per year with temperatures below zero), and peak sun hours per day. The methodology proposed estimates the deterioration rate of brick façades under variable climate conditions over time. As a conclusion of this research, a new tool for the structural evaluation of brick walls is presented. European Union Framework Programme for Research and Innovation (Horizon 2020) under grant agreement no. 821054
ZENODO; Heritage arrow_drop_down ZENODO; HeritageOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2571-9408/6/1/25/pdfRepositorio Institucional Universidad de GranadaArticle . 2023Data sources: Repositorio Institucional Universidad de Granadaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/heritage6010025&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 10visibility views 10 download downloads 35 Powered bymore_vert ZENODO; Heritage arrow_drop_down ZENODO; HeritageOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2571-9408/6/1/25/pdfRepositorio Institucional Universidad de GranadaArticle . 2023Data sources: Repositorio Institucional Universidad de Granadaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/heritage6010025&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Presentation 2022 EnglishPublisher:Zenodo Funded by:EC | ARIADNEplusEC| ARIADNEplusAuthors: Moody, Bryony; Dye, Tom; May, Keith; Buck, Caitlin;Moody, Bryony; Dye, Tom; May, Keith; Buck, Caitlin;Archaeological excavations produce a wealth of data. Due to the unrepeatable nature of this fieldwork, once the site is fully excavated, digital records must be archived in a manner that best facilitates reuse. However, in our experience, despite the best efforts of digital repositories such as ADS, archiving data does not ensure reusability. In this talk, we discuss attempts to reuse data for chronological modelling. We focus on three case studies where the user wished to reuse digital chronological data and ran into problems. Following this, we will outline a prototype software we are developing for handling the relative and absolute dating evidence. This software focuses on evidence obtained during single context excavations, as carried out in many European countries such as the UK. This software uses mathematical graph theory to manage stratigraphic and chronological information during Bayesian chronology construction. We provide an overview of the process that the software follows. Following this, we will focus on managing data during this process. Such management includes: at which points in the process we save data from the software; what format should our data be in; and which data to archive. Finally, we provide recommendations specific to chronological data that seek to improve the reusability of such data for future users.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7298796&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 11visibility views 11 download downloads 12 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7298796&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Presentation 2022 EnglishPublisher:Zenodo Funded by:EC | ARIADNEplusEC| ARIADNEplusAuthors: Ore, Christian‐Emil;Ore, Christian‐Emil;This presentation addresses the practical exercise of aligning 597 Norwegian excavation databases from INTRASIS using CIDOC CRM. In Norway, INTRASIS has been the standard excavation documentation system since 2010: INTRASIS is extremely flexible and can be adapted to most excavation practices. This is done through a user defined metadata template, in which one can define object classes, subclasses, attributes and relations between the classes, as well as how these will be visualised on the maps. The flexibility also has a downside, since it can be hard to export data into a common database from a series of excavation databases based on adapted templates. As a result, a complete data integration requires some extra data cleaning. The process being used to achieve this and to link all the excavation datasets is described.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7108711&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 18visibility views 18 download downloads 29 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7108711&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Belgium, NetherlandsPublisher:Peer Community In Funded by:EC | SusAnEC| SusAnAdriaens, Ines; Ouweltjes, Wijbrand; Pastell, Matti; Ellen, Esther; Kamphuis, Claudia;In precision livestock farming, technology-based solutions are used to monitor and manage livestock and support decisions based on on-farm available data. In this study, we developed a methodology to monitor the lying behaviour of dairy cows using noisy spatial positioning data, thereby combining time-series segmentation based on statistical changepoints and a machine learning classification algorithm using bagged decision trees. Position data (x, y, z -coordinates) collected with an ultra-wide band positioning system from 30 dairy cows housed in a freestall barn were used. After the data pre-processing and selection, statistical changepoints were detected per cow-day (no. included = 331) in normalized 'distance from the centre of the barn' and (z) time series. Accelerometer-based lying bout data were used as a practical ground truth. For the segmentation, changepoint detection was compared with getting-up or lying-down events as indicated by the accelerometers. For the classification of segments into lying or non-lying behaviour, two data splitting techniques resulting in 2 different training and test sets were implemented to train and evaluate performance: one based on the data collection day and one based on cow identity. In 85.5% of the lying-down or getting-up events a changepoint was detected in a window of 5 minutes. Of the events where no detection had taken place, 86.2% could be associated with either missing data (large gaps) or a very short lying or non-lying bout. Overall classification and lying behaviour prediction performance was above 91% in both independent test sets, with a very high consistency across cow-days. Per cow-day, the average error in the estimation of the lying durations were 7.1% and 7.8% for the cow-identity and time-based data splits respectively. This resulted in sufficient accuracy for automated quantification of lying behaviour in dairy cows, for example for health or welfare monitoring purposes. ispartof: Peer Community Journal vol:2 status: published
NARCIS; Research@WUR arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.24072/pcjournal.167&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Top 10% influence Top 10% impulse Average Powered by BIP!visibility 122visibility views 122 download downloads 89 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.24072/pcjournal.167&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FinlandPublisher:MDPI AG Funded by:EC | ChaperonEC| ChaperonHemminki Kari; Sundquist Kristina; Sundquist Jan; Försti Asta; Liska Vaclav; Hemminki Akseli; Li Xinjun;Simple Summary Familial risk of cancer implies that two or more family members are diagnosed with the same cancer. This may be due to the genes or environmental factors that family members share. Familial risk for liver and gallbladder cancer is about 2.7 which means that when one family member is diagnosed with these cancers other family members have 2.7 times higher risk of being diagnosed with the same cancers compared to families were no member is yet diagnosed with these cancers. Risk between spouses is entirely due to shared environmental factors and for liver cancer there is a small risk. The most important way to prevent these cancers is to avoid their risk factors, alcohol, smoking and overweight, and to seek medical care for diabetes and liver infections. We used the Swedish Cancer Registry data to address familial risks for concordant (same) and discordant (different) hepatobiliary cancers, including their associations with any other cancers and with known risk factors. Risks were also assessed between spouses. The analysis covered Swedish families and their cancers between years 1958 and 2018. Adjusted familial risks were expressed as standardized incidence ratios (SIRs). Familial SIRs for concordant hepatocellular carcinoma (HCC) were 2.60, and for gallbladder cancer they were at the same level (2.76). Familial risk was also found for intrahepatic bile duct cancer and for female extrahepatic bile duct cancer. HCC was associated with lung and cervical cancers; extrahepatic bile duct and ampullary cancers were associated with colon and pancreatic cancers, suggesting Lynch syndrome. Among spouses, hepatobiliary cancer was associated with HCC, stomach, pancreatic, cervical and upper aerodigestive tract cancers. Among risk factors, family members diagnosed with alcohol-related disease showed association with HCC. The observed familial risks for hepatobiliary cancers were relatively high, and considering the poor prognosis of these cancers, prevention is of the utmost importance and should focus on moderation of alcohol consumption, vaccination/treatment of hepatitis viral infections and avoidance of overweight and other risk factors of type 2 diabetes. Peer reviewed
ZENODO; Cancers arrow_drop_down ZENODO; CancersOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2072-6694/14/8/1938/pdfHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/cancers14081938&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 7visibility views 7 download downloads 17 Powered bymore_vert ZENODO; Cancers arrow_drop_down ZENODO; CancersOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2072-6694/14/8/1938/pdfHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of Helsinkiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/cancers14081938&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Report 2022 FinlandPublisher:Zenodo Funded by:EC | SSHOCEC| SSHOCKleemola, Mari; Ala-Lahti, Henri; Alaterä, Tuomas; L'Hours, Hervé; Mathers, Benjamin Jacob; Broeder, Daan; van Horik, René; Jerlehag, Birger; Degl'Innocenti, Emiliano; Sanesi, Maurizio; Koski, Niko;Research data should be managed, curated, stored and shared in a way that lives up to the expectations regarding trustworthiness and quality, provides sustainability and preserves the investments. The Trustworthy Digital Repository standards which have emerged from the Open Archival Information System (OAIS) reference model offer a certification solution for repositories. CoreTrustSeal (CTS) offers baseline certification and supports the concept of outsourcing. Adopting workflows and guidelines from CoreTrustSeal is also a way to assure that the data published by the repository follow the FAIR principles. Even outside of the formal certification framework the CoreTrustSeal criteria provide a demonstrable approach to internal and external review, supporting a benchmark for comparison and a means to determine the strengths and weaknesses of data repositories. This deliverable is the final deliverable of the SSHOC Task 8.2 Trust & Quality Assurance. It will describe the certification standards of Trustworthy Digital Repositories (TDRs) from the perspective of the SSH domain and summarise the certification support activities provided to the SSHOC community. The experiences gained from the support process will be considered in addition to the results of the examination of the trust in the domain of Social Sciences and Humanities (SSH) and the certification landscape. The support activities are based on the earlier work of T8.2 outlined in the Deliverable 8.1 Certification plan for SSHOC repositories, which laid the ground for the SSHOC trust work to facilitate the adoption of TDR standards and the FAIR principles in SSH data repositories. In this deliverable, ‘trust’ refers to the myriad of issues, standards and processes related to the level of trustworthiness of digital repositories. The deliverable will also discuss possible certification solutions for SSH repositories, consider the complex partnership models of TDRs and outsourcing of their services, and examine how trust can be sustainably managed after the SSHOC project. The experiences and feedback gained from the trust support work demonstrate that the support process has been beneficial for the repositories involved and allowed them to improve their procedures. While certification can be resource-intensive for certain repositories, there are few alternatives for a lighter certification beyond the core certification. The diversity of the SSH repository and data service landscape means that there is no certification solution suitable for all. Complex partnership models and outsourcing of services should also be considered when seeking certification. In some cases, organisations may opt for an assessment instead of formal certification. This has proven beneficial and useful for certain data services in improving their practices. Ensuring the sustainable management of trust is not solely dependent on assessment or certification, as trust goes beyond the technical aspects of repositories and also involves people. Therefore, future endeavours to manage trust should make use of the existing and planned networks of trustworthy repositories that can share both expertise and responsibility, while recognising the need for more enduring sources of funding for managing trust sustainably.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6530203&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 157visibility views 157 download downloads 105 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6530203&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu