cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7223153
title: Encuesta RRSS Cambio Climatico.xlsx

description: Online self-administered questionnaire submitted to a sample (n=96) of undergraduate students in the Madrid region (Spain)<br><br>The responses were collected from May 5th to July 3rd, 2017.<br><br>The first page of the online questionnaire provided information about the study, to which all the participants gave their informed consent to participate by clicking “next” to begin the survey.<br><br>
DOI: 10.7284/128825
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1717 using a Garmin GPS-17HVS instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7223150
title: Supplementary Material for: The Detergent Effect of Mesalazine Interferes with Phosphatidylcholine Binding to Mucin 2

description: <b><i>Objectives:</i></b><i></i> Therapeutically applied delayed-release phosphatidylcholine (PC) revealed mucosa protection and clinical improvement of ulcerative colitis. However, a recent trial with simultaneous application of delayed-release PC and mesalazine showed lack of efficacy. It is hypothesized that mesalazine acts as detergent to prohibit PC integration into mucus as target compartment, thus preventing topical mucus protection. <b><i>Methods:</i></b> In vitro PC-binding studies with mucin 2 and intestinally differentiated CaCo2 cells as well as outcome analysis of a therapeutic trial with delayed-release PC and additional mesalazine. <b><i>Results:</i></b> Choline-containing phospholipids, in particular PC, bind to mucin 2 as main scaffold protein of intestinal mucus to establish a hydrophobic barrier towards microbiota in the intestinal lumen. PC also binds to the apical surface of polarized CaCo2 cells with membrane-anchored mucin 3. Mesalazine removes mucin-bound PC and, thus, reduces transepithelial resistance. A post hoc analysis of patients from a previous multicenter phase IIB trial with delayed-release PC revealed that those without mesalazine showed a PC dose-dependent outcome with regard to achievement of partial and complete remission (<i>p</i> &lt; 0.05 for 1.6 and 3.2 g PC daily) whereas those treated simultaneously with mesalazine showed no PC dose dependency. <b><i>Conclusion:</i></b> Mesalazine solubilizes PC and, thus, prevents the protective action of therapeutically applied delayed-release PC within mucus.
DOI: 10.6084/m9.figshare.7223153.v1
title: Encuesta RRSS Cambio Climatico.xlsx

description: Online self-administered questionnaire submitted to a sample (n=96) of undergraduate students in the Madrid region (Spain)<br><br>The responses were collected from May 5th to July 3rd, 2017.<br><br>The first page of the online questionnaire provided information about the study, to which all the participants gave their informed consent to participate by clicking “next” to begin the survey.<br><br>
DOI: 10.7284/128826
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1717 using a Ashtech ADU2 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7223096
title: Evaluation of De novo assembly of bacterial genomes with rapid MinION sequencing platform

description: Complete genome sequences of organisms are the foundation of understanding biological functions. High-throughput parallel sequencing technologies such as Illumina make the bacterial genomic analyses possible and efficient, and benefit public health and basic bacterial related research. The short-read platforms have limits of resolving complete genome sequences and complex genomic structures. Long-read data generated by Oxford Nanopore Technologies (ONT) show great potential in finishing complete bacterial genomes. In this study, we evaluated the ability of ONT in completing bacterial genomes for twelve different species of both gram-negative and gram-positive bacteria. Bacterial genomes can be completed when the data volume is larger than 20×coverage of the genome in average, although manual curations are needed in certain circumstances. Importantly, de novo assembly of genomes based on ONT reads could be affected by assembly tools, some of which may result in misassembled genomes. Careful comparison of assembly results of various tools should be conducted before obtaining accurate results. With the improvement of ONT read quality and platforms, the discrepancy of assemblies between assembly tools may disappear in future. Also, finishing multiple genomes (twelve or more) of different bacterial species in a single MinION run with a rapid library preparation method are becoming possible as the technology improves.
DOI: 10.7284/128827
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1717 using a Furuno GP-90D instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128828
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1717 using a Furuno GP-150 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7223096.v3
title: Evaluation of De novo assembly of bacterial genomes with rapid MinION sequencing platform

description: Complete genome sequences of organisms are the foundation of understanding biological functions. High-throughput parallel sequencing technologies such as Illumina make the bacterial genomic analyses possible and efficient, and benefit public health and basic bacterial related research. The short-read platforms have limits of resolving complete genome sequences and complex genomic structures. Long-read data generated by Oxford Nanopore Technologies (ONT) show great potential in finishing complete bacterial genomes. In this study, we evaluated the ability of ONT in completing bacterial genomes for twelve different species of both gram-negative and gram-positive bacteria. Bacterial genomes can be completed when the data volume is larger than 20×coverage of the genome in average, although manual curations are needed in certain circumstances. Importantly, de novo assembly of genomes based on ONT reads could be affected by assembly tools, some of which may result in misassembled genomes. Careful comparison of assembly results of various tools should be conducted before obtaining accurate results. With the improvement of ONT read quality and platforms, the discrepancy of assemblies between assembly tools may disappear in future. Also, finishing multiple genomes (twelve or more) of different bacterial species in a single MinION run with a rapid library preparation method are becoming possible as the technology improves.
DOI: 10.6084/m9.figshare.7223096.v2
title: Evaluation of De novo assembly of bacterial genomes with rapid MinION sequencing platform

description: Complete genome sequences of organisms are the foundation of understanding biological functions. High-throughput parallel sequencing technologies such as Illumina make the bacterial genomic analyses possible and efficient, and benefit public health and basic bacterial related research. The short-read platforms have limits of resolving complete genome sequences and complex genomic structures. Long-read data generated by Oxford Nanopore Technologies (ONT) show great potential in finishing complete bacterial genomes. In this study, we evaluated the ability of ONT in completing bacterial genomes for twelve different species of both gram-negative and gram-positive bacteria. Bacterial genomes can be completed when the data volume is larger than 20×coverage of the genome in average, although manual curations are needed in certain circumstances. Importantly, de novo assembly of genomes based on ONT reads could be affected by assembly tools, some of which may result in misassembled genomes. Careful comparison of assembly results of various tools should be conducted before obtaining accurate results. With the improvement of ONT read quality and platforms, the discrepancy of assemblies between assembly tools may disappear in future. Also, finishing multiple genomes (twelve or more) of different bacterial species in a single MinION run with a rapid library preparation method are becoming possible as the technology improves.
DOI: 10.7284/128824
title: Gyrocompass data collected during research cruise SP1717 using a Furuno Furuno SC-30 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25375/uct.7222952
title: Zambezi River Basin Hydropower Assumptions

description: This project is a research initiative designed to address the major uncertainties facing hydropower development in the region, and to deepen understanding among stakeholders of the risks to hydropower from changes in climate and increased upstream water demand. <br><br> For 18 months, researchers from the University of Cape Town, the Centre for Energy, Environment and Engineering (Zambia) at the University of Zambia, OneWorld Sustainable Investments, University of Eduardo Mondlane, and Pöyry Management Consulting have been developing and applying a water supply and demand modelling tool for the Zambezi River Basin. The research was guided by a Steering Committee led by the Southern African Power Pool and including the Zambezi River Authority, the ZAMCOM Interim Secretariat, Southern African Development Community Energy, the UK Department for International Development, and the Climate and Development Knowledge Network. <br>The model was applied to two future climate scenarios, reflecting possible “wetting” or “drying” climates, and two scenarios for irrigation expansion in the region. The results of the analysis point to dramatic potential negative impacts on major existing and planned hydropower investments. <br>The research team and funders are committed to making this research accessible and in the public domain, including all of the modelling. This page includes links to all of the final deliverables of the project, including the Water Evaluation and Planning (WEAP) model and underlying datasets behind this. <br>See more at: http://www.erc.uct.ac.za/groups/esap/current/esap-zambezi1#sthash.N0IZSbPX.dpuf
DOI: 10.6084/m9.figshare.7222976
title: Associations of office workers’ objectively assessed occupational sitting, standing and stepping time with musculoskeletal symptoms

description: We examined the association of musculoskeletal symptoms (MSS) with workplace sitting, standing and stepping time, as well as sitting and standing time accumulation (i.e. usual bout duration of these activities), measured objectively with the activPAL3 monitor. Using baseline data from the <i>Stand Up Victoria</i> trial (216 office workers, 14 workplaces), cross-sectional associations of occupational activities with self-reported MSS (low-back, upper and lower extremity symptoms in the last three months) were examined using probit regression, correcting for clustering and adjusting for confounders. Sitting bout duration was significantly (<i>p</i> <b>Practitioner summary:</b> We studied associations of objectively assessed occupational activities with musculoskeletal symptoms in office workers. Workers who accumulated longer sitting bouts reported fewer upper extremity symptoms. Total activity duration was not significantly associated with musculoskeletal symptoms. We underline the importance of considering total volumes and patterns of activity time in musculoskeletal research.
DOI: 10.7284/128823
title: Winch data collected during research cruise SP1717 using a Markey DEYSH-3 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25375/uct.7222952.v1
title: Zambezi River Basin Hydropower Assumptions

description: This project is a research initiative designed to address the major uncertainties facing hydropower development in the region, and to deepen understanding among stakeholders of the risks to hydropower from changes in climate and increased upstream water demand. <br><br> For 18 months, researchers from the University of Cape Town, the Centre for Energy, Environment and Engineering (Zambia) at the University of Zambia, OneWorld Sustainable Investments, University of Eduardo Mondlane, and Pöyry Management Consulting have been developing and applying a water supply and demand modelling tool for the Zambezi River Basin. The research was guided by a Steering Committee led by the Southern African Power Pool and including the Zambezi River Authority, the ZAMCOM Interim Secretariat, Southern African Development Community Energy, the UK Department for International Development, and the Climate and Development Knowledge Network. <br>The model was applied to two future climate scenarios, reflecting possible “wetting” or “drying” climates, and two scenarios for irrigation expansion in the region. The results of the analysis point to dramatic potential negative impacts on major existing and planned hydropower investments. <br>The research team and funders are committed to making this research accessible and in the public domain, including all of the modelling. This page includes links to all of the final deliverables of the project, including the Water Evaluation and Planning (WEAP) model and underlying datasets behind this. <br>See more at: http://www.erc.uct.ac.za/groups/esap/current/esap-zambezi1#sthash.N0IZSbPX.dpuf
DOI: 10.7284/128829
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise SP1718 using a Hawaii UHDAS instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25375/uct.7222931
title: DLR Data Infrastructure

description: This dataset contains resources that describe the DLR information model, database design and standard queries.
DOI: 10.25375/uct.7222919
title: UNEP CO2 Uncertainty - Model Inputs

description: [NB: please add description, also: author?]<br>
DOI: 10.25375/uct.7222931.v1
title: DLR Data Infrastructure

description: This dataset contains resources that describe the DLR information model, database design and standard queries.
DOI: 10.7284/128837
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise SP1718 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25375/uct.7222916
title: UNEP CO2 Uncertainty - Model Results

description: Model results for UNEP uncertainty in CO2 trajectory for South Africa project.<br>
DOI: 10.25375/uct.7222916.v1
title: UNEP CO2 Uncertainty - Model Results

description: Model results for UNEP uncertainty in CO2 trajectory for South Africa project.<br>
DOI: 10.25375/uct.7222919.v1
title: UNEP CO2 Uncertainty - Model Inputs

description: [NB: please add description, also: author?]<br>
DOI: 10.25375/uct.7222895
title: UNEP CO2 Uncertainty - Model

description: <b>Quantifying uncertainty in baseline projections of carbon dioxide emissions for South Africa</b><br><br>The objective of this project is to quantify the uncertainty associated with key model inputs to develop a probability distribution of baseline emissions for South Africa over the 2015-2050 period. This objective is to be met in two phases. In the first phase, the most important and uncertain input parameters were selected for uncertainty analysis, and the associated uncertainty was described. In the second phase the uncertainty in inputs is propagated via an E3 model of South Africa (South African TIMES Model - SATIM) to obtain the probability distribution for the baseline emissions of South Africa, over the period of interest. <br><br> Projecting this far into the future is an extremely, perhaps impossibly, complex task. We use a combination of methodological approaches to do this, triangulating between these approach in an attempt to arrive at some kind of consensus projections. The approach followed here is to assess uncertainty on a small number of key drivers influencing the energy system, and hence GHG emissions associated with it. We assess distributions over possible values that these drivers can obtain in the future, and pass these values to the E3 model. For each combination of possible inputs, the model returns outputs for quantities like GHG emissions. By submitting many possible inputs to SATIM, a range of possible outputs is obtained. This process takes the form of a Monte Carlo simulation. This study was commissioned by the United Nations Environment Programme.
DOI: 10.7284/128833
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1718 using a Garmin GPS-17HVS instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25375/uct.7222895.v1
title: UNEP CO2 Uncertainty - Model

description: <b>Quantifying uncertainty in baseline projections of carbon dioxide emissions for South Africa</b><br><br>The objective of this project is to quantify the uncertainty associated with key model inputs to develop a probability distribution of baseline emissions for South Africa over the 2015-2050 period. This objective is to be met in two phases. In the first phase, the most important and uncertain input parameters were selected for uncertainty analysis, and the associated uncertainty was described. In the second phase the uncertainty in inputs is propagated via an E3 model of South Africa (South African TIMES Model - SATIM) to obtain the probability distribution for the baseline emissions of South Africa, over the period of interest. <br><br> Projecting this far into the future is an extremely, perhaps impossibly, complex task. We use a combination of methodological approaches to do this, triangulating between these approach in an attempt to arrive at some kind of consensus projections. The approach followed here is to assess uncertainty on a small number of key drivers influencing the energy system, and hence GHG emissions associated with it. We assess distributions over possible values that these drivers can obtain in the future, and pass these values to the E3 model. For each combination of possible inputs, the model returns outputs for quantities like GHG emissions. By submitting many possible inputs to SATIM, a range of possible outputs is obtained. This process takes the form of a Monte Carlo simulation. This study was commissioned by the United Nations Environment Programme.
DOI: 10.6084/m9.figshare.7222889
title: Single plasmid vectors encoding both antimicrobial resistance and virulence in ST15 K. pneumoniae

description: Annotated sequences of single plasmids detected in ST15 isolates collected in Norway, which mobilise genes encoding antimicrobial resistance (including ESBL in one strain), hypervirulence-associated aerobactin synthesis (iuc locus) and hypermucoidy phenotype through capsule upregulation (rmpA2).
DOI: 10.7284/128834
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1718 using a Ashtech ADU2 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25375/uct.7222871
title: UNEP CO2 Uncertainty - Dissemination

description: <b>Quantifying uncertainty in baseline projections of carbon dioxide emissions for South Africa</b><br><br> The objective of this project is to quantify the uncertainty associated with key model inputs to develop a probability distribution of baseline emissions for South Africa over the 2015-2050 period. This objective is to be met in two phases. In the first phase, the most important and uncertain input parameters were selected for uncertainty analysis, and the associated uncertainty was described. In the second phase the uncertainty in inputs is propagated via an E3 model of South Africa (South African TIMES Model - SATIM) to obtain the probability distribution for the baseline emissions of South Africa, over the period of interest. <br><br> Projecting this far into the future is an extremely, perhaps impossibly, complex task. We use a combination of methodological approaches to do this, triangulating between these approach in an attempt to arrive at some kind of consensus projections. The approach followed here is to assess uncertainty on a small number of key drivers influencing the energy system, and hence GHG emissions associated with it. We assess distributions over possible values that these drivers can obtain in the future, and pass these values to the E3 model. For each combination of possible inputs, the model returns outputs for quantities like GHG emissions. By submitting many possible inputs to SATIM, a range of possible outputs is obtained. This process takes the form of a Monte Carlo simulation. This study was commissioned by the United Nations Environment Programme.
DOI: 10.6084/m9.figshare.7222889.v2
title: Single plasmid vectors encoding both antimicrobial resistance and virulence in ST15 K. pneumoniae

description: Annotated sequences of single plasmids detected in ST15 isolates collected in Norway, which mobilise genes encoding antimicrobial resistance (including ESBL in one strain), hypervirulence-associated aerobactin synthesis (iuc locus) and hypermucoidy phenotype through capsule upregulation (rmpA2).
DOI: 10.25375/uct.7222871.v1
title: UNEP CO2 Uncertainty - Dissemination

description: <b>Quantifying uncertainty in baseline projections of carbon dioxide emissions for South Africa</b><br><br> The objective of this project is to quantify the uncertainty associated with key model inputs to develop a probability distribution of baseline emissions for South Africa over the 2015-2050 period. This objective is to be met in two phases. In the first phase, the most important and uncertain input parameters were selected for uncertainty analysis, and the associated uncertainty was described. In the second phase the uncertainty in inputs is propagated via an E3 model of South Africa (South African TIMES Model - SATIM) to obtain the probability distribution for the baseline emissions of South Africa, over the period of interest. <br><br> Projecting this far into the future is an extremely, perhaps impossibly, complex task. We use a combination of methodological approaches to do this, triangulating between these approach in an attempt to arrive at some kind of consensus projections. The approach followed here is to assess uncertainty on a small number of key drivers influencing the energy system, and hence GHG emissions associated with it. We assess distributions over possible values that these drivers can obtain in the future, and pass these values to the E3 model. For each combination of possible inputs, the model returns outputs for quantities like GHG emissions. By submitting many possible inputs to SATIM, a range of possible outputs is obtained. This process takes the form of a Monte Carlo simulation. This study was commissioned by the United Nations Environment Programme.