16 Works
Fractures, fluids and hypogenic karsts: key features in carbonate reservoirs and aquifers
Giovanni Bertotti & Stephan de Hoop
Delft University of Technology, The Netherlands (1); Federal University of Rio Grande do Norte, Brasil (2)
Karsts have been documented in a large number of hydrocarbon reservoirs but their origin has generally been attributed to meteoric processes. In the last years, however, it has been increasingly recognized that many of them have a hypogenic origin which implies that the CO2 and/or H2S responsible for carbonate dissolution come from deep sources transport being favoured...
Karsts have been documented in a large number of hydrocarbon reservoirs but their origin has generally been attributed to meteoric processes. In the last years, however, it has been increasingly recognized that many of them have a hypogenic origin which implies that the CO2 and/or H2S responsible for carbonate dissolution come from deep sources transport being favoured...
DataCite Metadata Schema Documentation for the Publication and Citation of Research Data and Other Research Outputs v4.4
1 Introduction 1.1 The DataCite Consortium 1.2 DataCite Community Participation 1.3 The Metadata Schema 1.4 Version 4.4 Update 2 DataCite Metadata Properties 2.1 Overview 2.2 Citation 2.3 DataCite Properties 3 XML Example 4 XML Schema 5 Other DataCite Services Appendices Appendix 1: Controlled List Definitions Appendix 2: Earlier Version Update Notes Appendix 3: Standard values for unknown information Appendix 4: Version 4.1 Changes in support of software citation Appendix 5: FORCE11 Software Citation Principles Mapping
What's in a name: the release of Metadata Schema 4.4
Madeleine de Smaele & Isabel Bernal
Many things have happened since the DataCite Metadata Working Group last released a new version of its schema in the summer of 2019. Indeed, amongst a long list of transformations brought about by the ongoing global pandemic, the paramount importance...
Robustness and Prediction Accuracy of Machine Learning for Objective Visual Quality Assessment
Andrew Hines, Paul Kendrick, Adriaan Barri, Manish Narwaria & Judith RediTransparent recognition for every research contribution
Frederique Belliard & Yan WangTechnical Grey Literature at the Delft University of Technology Library
E.F. Gramsbergen
The Delft University of Technology Library (DUTL) plays an important role in the dissemination of GL among industry and research agencies in the Netherlands. Reports are obtained from approx. 150 organizations. Quality criteria have been developed for the further selection of this material. Growing market-awareness recently motivated a survey among major external (outside the Delft University of Technology) clients, regarding their information needs. The clear demand for report literature, which evident from the response, is...
An Overview of Interfaces for Automated Vehicles (inside/outside) (Deliverable D2.1 in the H2020 MSCA ITN project SHAPE-IT)
Natasha Merat, Yue Yang, Yee Mun Lee, Siri Hegna Berge, Nikol Figalova, Sarang Jokhio, Chen Peng, Naomi Mbelekani, Mohamed Nasser, Amna Pir Muhammad, Wilbert Tabone, Liu Yuan-Cheng, Martin Baumann & Jonas BärgmanLIBER 2021: The Evolving Scholar – rethinking publishing
Nicoleta NastaseDataCite to Dublin Core Mapping v4.4.
On the occasion of the release of v4.4 of the DataCite Metadata Schema its Metadata Working Group has updated the mapping to Dublin Core. This replaces the mapping in the Appendix of the DataCite-MetadataKernel v2.1. The mapping can be used to convert records described following version 4.4 of the DataCite Metadata Schema into records that comply with the Dublin Core Metadata Initiative Schema.
Ports and Waterways – Navigating the changing world
Mark van KoningsveldMethodological Framework for Modelling and Empirical Approaches (Deliverable D1.1 in the EC ITN project SHAPE-IT)
Nikol Figalova, Naomi Mbelekani, Chi Zhang, Yue Kang, Chen Peng, Mohamed Nasser, Liu Yuan-Cheng, Amna Pir Muhammad, Wilbert Tabone, Siri Hegna Berge, Sarang Jokhio, Xiaolin He, Amir Hossein Kalantari, Ali Mohammadi & Xiaomi YangMethodological Framework for Modelling and Empirical Approaches (Deliverable D1.1 in the EC ITN project SHAPE-IT)
Nikol Figalova, Naomi Mbelekani, Chi Zhang, Yue Yang, Chen Peng, Mohamed Nasser, Liu Yuan-Cheng, Amna Pir Muhammad, Wilbert Tabone, Siri Hegna Berge, Sarang Jokhio, Xiaolin He, Amir Hossein Kalantari, Ali Mohammadi, Xiaomi Yang, Bärgman Jonas & Baumann MartinAffiliations
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Delft University of Technology16
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Spanish National Research Council4
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Columbia University3
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University of Leeds3
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Technical University of Munich3
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Institut de l'Information Scientifique et Technique3
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University of Ulm3
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United States Geological Survey3
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Chalmers University of Technology3
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University of Maryland, College Park3