cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.155700.v2
title: Free and Open Source Software underpinning the European Forest Data Centre

description: Rodriguez Aseretto, D., Di Leo, M., de Rigo, D., Corti, P., McInerney, D., Camia, A., San Miguel-Ayanz, J., 2013. <strong>Free and Open Source Software underpinning the European Forest Data Centre</strong>. <em>Geophysical Research Abstracts 15</em>, EGU General Assembly 2013 This is the authors’ version of the work. The definitive version is published in the Vol. 15 of Geophysical Research Abstracts (ISSN 1607-7962) and presented at the European Geosciences Union (EGU) General Assembly 2013, Vienna, Austria, 07-12 April 2013<br>http://www.egu2013.eu/ <strong><br></strong> <strong><br></strong> <strong>Free and Open Source Software underpinning the European Forest Data Centre</strong> <strong><br></strong> Dario Rodriguez Aseretto ¹, Margherita Di Leo ¹, Daniele de Rigo ¹ ², Paolo Corti ¹ ³, Daniel McInerney ¹, Andrea Camia ¹, Jes ús San-Miguel-Ayanz ¹ ¹ European Commission, Joint Research Centre, Institute for Environment and Sustainability,<br>Via E. Fermi 2749, I-21027 Ispra (VA), Italy ² Politecnico di Milano, Dipartimento di Elettronica e Informazione,<br>Via Ponzio 34/5, I-20133 Milano, Italy ³ United Nations World Food Programme,<br>Via C.G.Viola 68 Parco dei Medici, I-00148 Rome, Italy <strong><br></strong> <strong><br>Excerpt:</strong> Worldwide, governments are growingly focusing on free and open source software (FOSS) as a move toward transparency and the freedom to run, copy, study, change and improve the software. The European Commission (EC) is also supporting the development of FOSS [...]. In addition to the financial savings, FOSS contributes to scientific knowledge freedom in computational science (CS) and is increasingly rewarded in the science-policy interface within the emerging paradigm of open science. Since complex computational science applications may be affected by software uncertainty, FOSS may help to mitigate part of the impact of software errors by CS community- driven open review, correction and evolution of scientific code. The continental scale of EC science-based policy support implies wide networks of scientific collaboration. Thematic information systems also may benefit from this approach within reproducible integrated modelling. This is supported by the EC strategy on FOSS: "for the development of new information systems, where deployment is foreseen by parties outside of the EC infrastructure, [F]OSS will be the preferred choice and in any case used whenever possible". The aim of this contribution is to highlight how a continental scale information system may exploit and integrate FOSS technologies within the transdisciplinary research underpinning such a complex system. A European example is discussed where FOSS innervates both the structure of the information system itself and the inherent transdisciplinary research for modelling the data and information which constitute the system content. [...]
DOI: 10.6084/m9.figshare.155701.v2
title: Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science

description: de Rigo, D., 2013. <strong>Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science</strong>.<br><em>Geophysical Research Abstracts 15</em>, EGU General Assembly 2013 This is the author's version of the work. The definitive version is published in the Vol. 15 of Geophysical Research Abstracts (ISSN 1607-7962) and presented at the European Geosciences Union (EGU) General Assembly 2013, Vienna, Austria, 07-12 April 2013<br>http://www.egu2013.eu/ <strong>Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science</strong> <strong><br></strong> Daniele de Rigo ¹ ² ¹ European Commission, Joint Research Centre, Institute for Environment and Sustainability,<br>Via E. Fermi 2749, I-21027 Ispra (VA), Italy ² Politecnico di Milano, Dipartimento di Elettronica e Informazione,<br>Via Ponzio 34/5, I-20133 Milano, Italy <strong>Excerpt:</strong> Computational aspects increasingly shape environmental sciences. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface. Large spatial-scale problems falling within this category - i.e. wide-scale transdisciplinary modelling for environment (WSTMe) - often deal with factors (a) for which deep-uncertainty may prevent usual statistical analysis of modelled quantities and need different ways for providing policy-making with science-based support. Here, practical recommendations are proposed for tempering a peculiar - not infrequently underestimated - source of uncertainty. Software errors in complex WSTMe may subtly affect the outcomes with possible consequences even on collective environmental decision-making. Semantic transparency in CS and free software are discussed as possible mitigations. [...]
DOI: 10.6084/m9.figshare.155700.v4
title: Free and Open Source Software underpinning the European Forest Data Centre

description: Rodriguez Aseretto, D., Di Leo, M., de Rigo, D., Corti, P., McInerney, D., Camia, A., San Miguel-Ayanz, J., 2013. <strong>Free and Open Source Software underpinning the European Forest Data Centre</strong>. <em>Geophysical Research Abstracts 15</em>, 12101+. ISSN 1607-7962, European Geosciences Union (EGU). This is the authors’ version of the work. The definitive version is published in the Vol. 15 of Geophysical Research Abstracts (ISSN 1607-7962) and presented at the European Geosciences Union (EGU) General Assembly 2013, Vienna, Austria, 07-12 April 2013<br>http://www.egu2013.eu/ <strong><br></strong> <strong><br></strong> <strong>Free and Open Source Software underpinning the European Forest Data Centre</strong> <strong><br></strong> Dario Rodriguez Aseretto ¹, Margherita Di Leo ¹, Daniele de Rigo ¹ ², Paolo Corti ¹ ³, Daniel McInerney ¹, Andrea Camia ¹, Jes ús San-Miguel-Ayanz ¹ ¹ European Commission, Joint Research Centre, Institute for Environment and Sustainability,<br>Via E. Fermi 2749, I-21027 Ispra (VA), Italy ² Politecnico di Milano, Dipartimento di Elettronica e Informazione,<br>Via Ponzio 34/5, I-20133 Milano, Italy ³ United Nations World Food Programme,<br>Via C.G.Viola 68 Parco dei Medici, I-00148 Rome, Italy <strong><br></strong> <strong><br>Excerpt:</strong> Worldwide, governments are growingly focusing on free and open source software (FOSS) as a move toward transparency and the freedom to run, copy, study, change and improve the software. The European Commission (EC) is also supporting the development of FOSS [...]. In addition to the financial savings, FOSS contributes to scientific knowledge freedom in computational science (CS) and is increasingly rewarded in the science-policy interface within the emerging paradigm of open science. Since complex computational science applications may be affected by software uncertainty, FOSS may help to mitigate part of the impact of software errors by CS community- driven open review, correction and evolution of scientific code. The continental scale of EC science-based policy support implies wide networks of scientific collaboration. Thematic information systems also may benefit from this approach within reproducible integrated modelling. This is supported by the EC strategy on FOSS: "for the development of new information systems, where deployment is foreseen by parties outside of the EC infrastructure, [F]OSS will be the preferred choice and in any case used whenever possible". The aim of this contribution is to highlight how a continental scale information system may exploit and integrate FOSS technologies within the transdisciplinary research underpinning such a complex system. A European example is discussed where FOSS innervates both the structure of the information system itself and the inherent transdisciplinary research for modelling the data and information which constitute the system content. [...]
DOI: 10.6084/m9.figshare.155694
title: Gaussian Job Archive for C144H144

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.155700.v3
title: Free and Open Source Software underpinning the European Forest Data Centre

description: Rodriguez Aseretto, D., Di Leo, M., de Rigo, D., Corti, P., McInerney, D., Camia, A., San Miguel-Ayanz, J., 2013. <strong>Free and Open Source Software underpinning the European Forest Data Centre</strong>. <em>Geophysical Research Abstracts 15</em>, EGU General Assembly 2013 This is the authors’ version of the work. The definitive version is published in the Vol. 15 of Geophysical Research Abstracts (ISSN 1607-7962) and presented at the European Geosciences Union (EGU) General Assembly 2013, Vienna, Austria, 07-12 April 2013<br>http://www.egu2013.eu/ <strong><br></strong> <strong><br></strong> <strong>Free and Open Source Software underpinning the European Forest Data Centre</strong> <strong><br></strong> Dario Rodriguez Aseretto ¹, Margherita Di Leo ¹, Daniele de Rigo ¹ ², Paolo Corti ¹ ³, Daniel McInerney ¹, Andrea Camia ¹, Jes ús San-Miguel-Ayanz ¹ ¹ European Commission, Joint Research Centre, Institute for Environment and Sustainability,<br>Via E. Fermi 2749, I-21027 Ispra (VA), Italy ² Politecnico di Milano, Dipartimento di Elettronica e Informazione,<br>Via Ponzio 34/5, I-20133 Milano, Italy ³ United Nations World Food Programme,<br>Via C.G.Viola 68 Parco dei Medici, I-00148 Rome, Italy <strong><br></strong> <strong><br>Excerpt:</strong> Worldwide, governments are growingly focusing on free and open source software (FOSS) as a move toward transparency and the freedom to run, copy, study, change and improve the software. The European Commission (EC) is also supporting the development of FOSS [...]. In addition to the financial savings, FOSS contributes to scientific knowledge freedom in computational science (CS) and is increasingly rewarded in the science-policy interface within the emerging paradigm of open science. Since complex computational science applications may be affected by software uncertainty, FOSS may help to mitigate part of the impact of software errors by CS community- driven open review, correction and evolution of scientific code. The continental scale of EC science-based policy support implies wide networks of scientific collaboration. Thematic information systems also may benefit from this approach within reproducible integrated modelling. This is supported by the EC strategy on FOSS: "for the development of new information systems, where deployment is foreseen by parties outside of the EC infrastructure, [F]OSS will be the preferred choice and in any case used whenever possible". The aim of this contribution is to highlight how a continental scale information system may exploit and integrate FOSS technologies within the transdisciplinary research underpinning such a complex system. A European example is discussed where FOSS innervates both the structure of the information system itself and the inherent transdisciplinary research for modelling the data and information which constitute the system content. [...]
DOI: 10.6084/m9.figshare.155701.v3
title: Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science

description: de Rigo, D., 2013. <strong>Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science</strong>.<br><em>Geophysical Research Abstracts 15</em>, EGU General Assembly 2013 This is the author's version of the work. The definitive version is published in the Vol. 15 of Geophysical Research Abstracts (ISSN 1607-7962) and presented at the European Geosciences Union (EGU) General Assembly 2013, Vienna, Austria, 07-12 April 2013<br>http://www.egu2013.eu/ <strong>Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science</strong> <strong><br></strong> Daniele de Rigo ¹ ² ¹ European Commission, Joint Research Centre, Institute for Environment and Sustainability,<br>Via E. Fermi 2749, I-21027 Ispra (VA), Italy ² Politecnico di Milano, Dipartimento di Elettronica e Informazione,<br>Via Ponzio 34/5, I-20133 Milano, Italy <strong>Excerpt:</strong> Computational aspects increasingly shape environmental sciences. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface. Large spatial-scale problems falling within this category - i.e. wide-scale transdisciplinary modelling for environment (WSTMe) - often deal with factors (a) for which deep-uncertainty may prevent usual statistical analysis of modelled quantities and need different ways for providing policy-making with science-based support. Here, practical recommendations are proposed for tempering a peculiar - not infrequently underestimated - source of uncertainty. Software errors in complex WSTMe may subtly affect the outcomes with possible consequences even on collective environmental decision-making. Semantic transparency in CS and free software are discussed as possible mitigations. [...]
DOI: 10.6084/m9.figshare.155694.v1
title: Gaussian Job Archive for C144H144

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.155691
title: Bisulfite sequencing data

description: Raw sequence reads for bisulfite sequencing data shown in Figure 4
DOI: 10.6084/m9.figshare.155701.v4
title: Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science

description: de Rigo, D., 2013. <strong>Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science</strong>.<br><em>Geophysical Research Abstracts 15</em>, 13292+. ISSN 1607-7962, European Geosciences Union (EGU). This is the author's version of the work. The definitive version is published in the Vol. 15 of Geophysical Research Abstracts (ISSN 1607-7962) and presented at the European Geosciences Union (EGU) General Assembly 2013, Vienna, Austria, 07-12 April 2013<br>http://www.egu2013.eu/ <strong>Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science</strong> <strong><br></strong> Daniele de Rigo ¹ ² ¹ European Commission, Joint Research Centre, Institute for Environment and Sustainability,<br>Via E. Fermi 2749, I-21027 Ispra (VA), Italy ² Politecnico di Milano, Dipartimento di Elettronica e Informazione,<br>Via Ponzio 34/5, I-20133 Milano, Italy <strong>Excerpt:</strong> Computational aspects increasingly shape environmental sciences. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface. Large spatial-scale problems falling within this category - i.e. wide-scale transdisciplinary modelling for environment (WSTMe) - often deal with factors (a) for which deep-uncertainty may prevent usual statistical analysis of modelled quantities and need different ways for providing policy-making with science-based support. Here, practical recommendations are proposed for tempering a peculiar - not infrequently underestimated - source of uncertainty. Software errors in complex WSTMe may subtly affect the outcomes with possible consequences even on collective environmental decision-making. Semantic transparency in CS and free software are discussed as possible mitigations. [...]
DOI: 10.6084/m9.figshare.155675
title: Madsen 2012 Data and Analysis

description: Data and analysis scripts from my conference paper at the 2012 meetings of the Society for American Archaeology, in Memphis, TN.
DOI: 10.6084/m9.figshare.155701.v5
title: Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science

description: de Rigo, D., 2013. <strong>Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science</strong>.<br><em>Geophysical Research Abstracts 15</em>, 13292+. ISSN 1607-7962, European Geosciences Union (EGU). This is the author's version of the work. The definitive version is published in the Vol. 15 of Geophysical Research Abstracts (ISSN 1607-7962) and presented at the European Geosciences Union (EGU) General Assembly 2013, Vienna, Austria, 07-12 April 2013<br>http://www.egu2013.eu/ <strong>Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science</strong> <strong><br></strong> Daniele de Rigo ¹ ² ¹ European Commission, Joint Research Centre, Institute for Environment and Sustainability,<br>Via E. Fermi 2749, I-21027 Ispra (VA), Italy ² Politecnico di Milano, Dipartimento di Elettronica e Informazione,<br>Via Ponzio 34/5, I-20133 Milano, Italy <strong>Excerpt:</strong> Computational aspects increasingly shape environmental sciences. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface. Large spatial-scale problems falling within this category - i.e. wide-scale transdisciplinary modelling for environment (WSTMe) - often deal with factors (a) for which deep-uncertainty may prevent usual statistical analysis of modelled quantities and need different ways for providing policy-making with science-based support. Here, practical recommendations are proposed for tempering a peculiar - not infrequently underestimated - source of uncertainty. Software errors in complex WSTMe may subtly affect the outcomes with possible consequences even on collective environmental decision-making. Semantic transparency in CS and free software are discussed as possible mitigations. [...]
DOI: 10.6084/m9.figshare.155691.v1
title: Bisulfate sequencing data

description: Raw sequence reads for bisulfite sequencing data shown in Figure 4
DOI: 10.6084/m9.figshare.155671
title: Mapping determinants of health

description: Map data is from AIDSVU.org. County_mapping.py is source code.
DOI: 10.6084/m9.figshare.155691.v2
title: Bisulfate sequencing data

description: Raw sequence reads for bisulfite sequencing data shown in Figure 4
DOI: 10.6084/m9.figshare.155701.v6
title: Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science

description: de Rigo, D., 2013. <strong>Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science</strong>.<br><em>Geophysical Research Abstracts 15</em>, 13292+. ISSN 1607-7962, European Geosciences Union (EGU). This is the author's version of the work. The definitive version is published in the Vol. 15 of Geophysical Research Abstracts (ISSN 1607-7962) and presented at the European Geosciences Union (EGU) General Assembly 2013, Vienna, Austria, 07-12 April 2013<br>http://www.egu2013.eu/ <strong>Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science</strong> <strong><br></strong> Daniele de Rigo ¹ ² ¹ European Commission, Joint Research Centre, Institute for Environment and Sustainability,<br>Via E. Fermi 2749, I-21027 Ispra (VA), Italy ² Politecnico di Milano, Dipartimento di Elettronica e Informazione,<br>Via Ponzio 34/5, I-20133 Milano, Italy <strong>Excerpt:</strong> Computational aspects increasingly shape environmental sciences. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface. Large spatial-scale problems falling within this category - i.e. wide-scale transdisciplinary modelling for environment (WSTMe) - often deal with factors (a) for which deep-uncertainty may prevent usual statistical analysis of modelled quantities and need different ways for providing policy-making with science-based support. Here, practical recommendations are proposed for tempering a peculiar - not infrequently underestimated - source of uncertainty. Software errors in complex WSTMe may subtly affect the outcomes with possible consequences even on collective environmental decision-making. Semantic transparency in CS and free software are discussed as possible mitigations. [...]
DOI: 10.6084/m9.figshare.155671.v1
title: Mapping determinants of health

description: Map data is from AIDSVU.org. County_mapping.py is source code.
DOI: 10.6084/m9.figshare.155657
title: Gaussian Job Archive for C10H12OS2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.155701.v7
title: Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science

description: de Rigo, D., 2013. <strong>Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science</strong>.<br><em>Geophysical Research Abstracts 15</em>, 13292+. ISSN 1607-7962, European Geosciences Union (EGU). arXiv:1311.4762 This is the author's version of the work. The definitive version is published in the Vol. 15 of Geophysical Research Abstracts (ISSN 1607-7962) and presented at the European Geosciences Union (EGU) General Assembly 2013, Vienna, Austria, 07-12 April 2013<br>http://www.egu2013.eu/ <strong>Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science</strong> <strong><br></strong> Daniele de Rigo ¹ ² ¹ European Commission, Joint Research Centre, Institute for Environment and Sustainability,<br>Via E. Fermi 2749, I-21027 Ispra (VA), Italy ² Politecnico di Milano, Dipartimento di Elettronica e Informazione,<br>Via Ponzio 34/5, I-20133 Milano, Italy <strong>Excerpt:</strong> Computational aspects increasingly shape environmental sciences. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface. Large spatial-scale problems falling within this category - i.e. wide-scale transdisciplinary modelling for environment (WSTMe) - often deal with factors (a) for which deep-uncertainty may prevent usual statistical analysis of modelled quantities and need different ways for providing policy-making with science-based support. Here, practical recommendations are proposed for tempering a peculiar - not infrequently underestimated - source of uncertainty. Software errors in complex WSTMe may subtly affect the outcomes with possible consequences even on collective environmental decision-making. Semantic transparency in CS and free software are discussed as possible mitigations. [...]
DOI: 10.6084/m9.figshare.155656
title: Gaussian Job Archive for C10H12OS2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.155655
title: Gaussian Job Archive for C144H144

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.155657.v1
title: Gaussian Job Archive for C10H12OS2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.155653
title: Cooperative Teaching Styles among Literature Teachers in Misamis Oriental General Comprehensive High School

description: This study investigates the extent of utilization of cooperative teaching styles among literature teachers of Misamis Oriental General Comprehensive High School. The study’s sample contained 336 fourth year level students of MOGCHS.
DOI: 10.6084/m9.figshare.155655.v1
title: Gaussian Job Archive for C144H144

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.155656.v1
title: Gaussian Job Archive for C10H12OS2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.155652
title: Gaussian Job Archive for C144H144(2+)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.