3,172 research outputs found

    1825-1829 Brunswick – ARCdoc UK Whaling Logbooks

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    This dataset contains spreadsheet data collated from actual UK whaling logbooks between 1750 and 1850. Each worksheet represents one year and contains two voyages. One outgoing voyage from the UK to Hudson Bay, normally leaving at the end of June, beginning of July, and one return journey leaving Hudson Bay in September and returning to the UK in October. The Supporting Documentation describes the collated data and provides a background to the research. The whaling logbooks used in this project, representing a significant addition to those of the Hudson Bay Company (HBC), are confined to the period 1750 to 1850 although most of them post-date 1800. Attention is also confined to UK logbooks. In contrast to the HBC logbooks, those of the whaling vessels do not cover every year of the study period and only some 40 have survived of the original many thousands of voyages. The outcomes are a series of monthly summary statistics for each month of the voyages. These are confined to the summer season as the vessels could not sail in winter, but provide nonetheless a valuable series of first-hand observations. These are expressed as a series of indices quantifying the frequency of winds from each of the four quadrants (N, S, E & W), gales, fog, snow and rain. The mean wind force can also be calculated for each month. The whaling logbooks provide a unique additional set of daily and monthly-aggregated data on sea ice cover and character

    Fatigue life prediction of z-fibre pinned composite laminate under mode I loading

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    A hybrid method is presented combining linear elastic fracture mechanics with nonlinear damage mechanics that can predict the fatigue crack growth rate in z-fibre pinned composites under mode I loading. The strain energy release rate is evaluated using the virtual crack closure technique via finite element analysis. Cohesive elements are used in the pinned region to represent the crack bridging force generated by the pins. The reduction of the pins' bridging force under the fatigue loading is accommodated by applying a degradation law, based on damage mechanics with empirical fitting parameters. A modified degradation law is proposed which is capable of accumulating fatigue damage under varying crack opening displacement ranges experienced by the pins during fatigue loading. Fatigue testing was performed with a z-pinned double cantilever beam at two different values of applied displacement amplitude. The predictions show reasonably good agreement with the test results in terms of the fatigue crack propagation rate and fatigue life

    Discovering Open Practices: one-day conference on open research information for PGRs and Early Career Researchers.

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    The FOSTER project is currently looking at sustainable mechanisms to encourage wider adoption of open practices amongst EU researchers. A one day conference this Thursday in London will look to introduce key themes and wider considerations of open access for students and early career researchers. Lucy Ayre writes the aim of the afternoon is to show the practical steps, which complement quality research in achieving this common goal for an ECR

    Europa, no copies a Australia

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    Es un error alabar la política de Australia de rechazar a los solicitantes de asilo

    1833 Volunteer – ARCdoc UK Whaling Logbooks

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    This dataset contains spreadsheet data collated from actual UK whaling logbooks between 1750 and 1850. Each worksheet represents one year and contains two voyages. One outgoing voyage from the UK to Hudson Bay, normally leaving at the end of June, beginning of July, and one return journey leaving Hudson Bay in September and returning to the UK in October. The Supporting Documentation describes the collated data and provides a background to the research. The whaling logbooks used in this project, representing a significant addition to those of the Hudson Bay Company (HBC), are confined to the period 1750 to 1850 although most of them post-date 1800. Attention is also confined to UK logbooks. In contrast to the HBC logbooks, those of the whaling vessels do not cover every year of the study period and only some 40 have survived of the original many thousands of voyages. The outcomes are a series of monthly summary statistics for each month of the voyages. These are confined to the summer season as the vessels could not sail in winter, but provide nonetheless a valuable series of first-hand observations. These are expressed as a series of indices quantifying the frequency of winds from each of the four quadrants (N, S, E & W), gales, fog, snow and rain. The mean wind force can also be calculated for each month. The whaling logbooks provide a unique additional set of daily and monthly-aggregated data on sea ice cover and character

    1821 Royal George - ARCdoc UK Whaling Logbooks

    No full text
    This dataset contains spreadsheet data collated from actual UK whaling logbooks between 1750 and 1850. Each worksheet represents one year and contains two voyages. One outgoing voyage from the UK to Hudson Bay, normally leaving at the end of June, beginning of July, and one return journey leaving Hudson Bay in September and returning to the UK in October. The Supporting Documentation describes the collated data and provides a background to the research. The whaling logbooks used in this project, representing a significant addition to those of the Hudson Bay Company (HBC), are confined to the period 1750 to 1850 although most of them post-date 1800. Attention is also confined to UK logbooks. In contrast to the HBC logbooks, those of the whaling vessels do not cover every year of the study period and only some 40 have survived of the original many thousands of voyages. The outcomes are a series of monthly summary statistics for each month of the voyages. These are confined to the summer season as the vessels could not sail in winter, but provide nonetheless a valuable series of first-hand observations. These are expressed as a series of indices quantifying the frequency of winds from each of the four quadrants (N, S, E & W), gales, fog, snow and rain. The mean wind force can also be calculated for each month. The whaling logbooks provide a unique additional set of daily and monthly-aggregated data on sea ice cover and character

    1834 Dorothy – ARCdoc UK Whaling Logs

    No full text
    This dataset contains spreadsheet data collated from actual UK whaling logbooks between 1750 and 1850. Each worksheet represents one year and contains two voyages. One outgoing voyage from the UK to Hudson Bay, normally leaving at the end of June, beginning of July, and one return journey leaving Hudson Bay in September and returning to the UK in October. The Supporting Documentation describes the collated data and provides a background to the research. The whaling logbooks used in this project, representing a significant addition to those of the Hudson Bay Company (HBC), are confined to the period 1750 to 1850 although most of them post-date 1800. Attention is also confined to UK logbooks. In contrast to the HBC logbooks, those of the whaling vessels do not cover every year of the study period and only some 40 have survived of the original many thousands of voyages. The outcomes are a series of monthly summary statistics for each month of the voyages. These are confined to the summer season as the vessels could not sail in winter, but provide nonetheless a valuable series of first-hand observations. These are expressed as a series of indices quantifying the frequency of winds from each of the four quadrants (N, S, E & W), gales, fog, snow and rain. The mean wind force can also be calculated for each month. The whaling logbooks provide a unique additional set of daily and monthly-aggregated data on sea ice cover and character
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