980 research outputs found

    Revealing Invisible Water: Moisture Recycling as an Ecosystem Service

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    These data are output from the STEAM+WAM modeling framework described in Keys et al. “Revealing Invisible Water: Moisture Recycling as an Ecosystem Service.” These data can be used to reconstruct the results of the paper (under the “Methods” section entitled “Calculation of VMR ecosystem services”). The files were created in Matlab, and the names of each dataset corresponds to the specific steps in the “Calculation of VMR ecosystem services” section. Addtionally, the datasets with the identifier “Global” in the name refer to global results, whereas the datasets with the identifier ”MatoGrosso” refer to results from the Mato Grosso case study (see paper for more details)

    Biometris GenStat Procedure Library Manual 13th Edition

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    The Biometris GenStat Procedure Library contains procedures in which new and existing statistical methodology is implemented, as well as procedures to make GenStat more user-friendly. The Biometris library can be used and distributed freely. The Library is standardly distributed over the Dutch agricultural research sites

    Author Correction:A cattle graph genome incorporating global breed diversity

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    The original version of this Article omitted from the author list the 12th and 13th authors Dennis Muhanguzi and Wilson Amanyire, who are from the ‘School of Biosecurity, Biotechnology and Laboratory Sciences (SBLS), College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, P.O Box 7062, Kampala, Uganda’. Consequently, the final sentence of the Author Contributions incorrectly read ‘D.W., P.T., E.A.J.C., C.E., E.T.O., E.R.A., A. Tijjani, K.M., A.F., B.R.F., A.Q., U.C. and P.W. provided samples and expertise for the studies’. This has been replaced with ‘D.W., P.T., W.A., D.M., E.A.J.C., C.E., E.T.O., E.R.A., A. Tijjani, K.M., A.F., B.R.F., A.Q., U.C. and P.W. provided samples and expertise for the studies’. This has been corrected in both the PDF and HTML versions of the Article

    Dataset associated with "A machine-learning approach to human footprint index estimation with applications to sustainable development"

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    The data are a set of gridded raster maps corresponding to the Human Footprint Index (HFI) for the years 2000 and 2019. The data presented here are based on two other openly accessible datasets: 1. The human footprint index data by Williams et al. https://github.com/scabecks/humanfootprint_2000-2013; 2. Global Forest Cover data https://earthenginepartners.appspot.com/science-2013-global-forest/download_v1.7.html.Fundamental to the success of sustainable development is a foundation of intact ecosystems. While the United Nations Sustainable Development Goal 15, “Life on Land”, seeks to protect biodiversity in terrestrial ecosystems, accelerating human-driven changes across the Earth system are undermining efforts to preserve biodiversity. Understanding this tension has never been more urgent and requires tools that reveal pathways for development that also support biodiversity. Here we introduce a near-present, global-scale machine learning-based human footprint index which is capable of routine update. By comparing global changes in the machine learning human footprint index between 2000 and 2019 to national-scale biodiversity metrics for Goal 15, we find that some countries are experiencing increases in their human footprint while biodiversity metrics are improving as well. We further examine development and policy dynamics to uncover enabling mechanisms for balancing increased human pressure with biodiversity gains. This has immediate policy relevance, since the majority of countries globally are not on track to achieve Goal 15 by the declared deadline of 2030. Moving forward, the machine learning human footprint index can be used for ongoing monitoring and evaluation support toward the twin goals of fostering a thriving society and global Earth system.This research was funded, in part, by the United States National Aeronautics and Space Administration (NASA) under grant #18-SLSCVC18-0006

    Three years of Extreme Physiology & Medicine

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    © 2015 Grocott and Montgomery. This article is distributed under the terms of the Creative Commons Attribution 4.0 Interna‑ tional License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Com‑ mons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecom‑ mons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated

    Taxonomy and phylogeny of the genus Mycosphaerella and its anamorphs

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    Historically plant pathogenic species of Mycosphaerella have been regarded as host-specific, though this hypothesys has proven difficult to test largely due to the inavailability of fungal cultures. During the course of the past 20 years a concerted effort has been made to collect these fungi, and devise methods to cultivate them. Based on subsequent DNA sequence analyses the majority of these species were revealed to be host-specific, though some were not, suggesting that no general rule can be applied. Furthermore, analysis of recent molecular data revealed Mycosphaerella to be poly- and paraphyletic. Teleomorph morphology was shown to be too narrowly defined in some cases, and again too widely in others. Mycosphaerella and Teratosphaeria as presently circumscribed represent numerous different genera, many of which can be recognised based on the morphology of their 30 odd associated anamorph genera. Although Mycosphaerella is generally accepted to represent one of the largest genera of ascomycetous fungi, these data suggest that this is incorrect, and that Mycosphaerella should be restricted to taxa linked to Ramularia anamorphs. Furthermore, other anamorph form genera with Mycosphaerella-like teleomorphs appear to represent genera in their own right

    Advancing the roll-out of energy networks by embedding cost differentiation in modeling approaches which minimize assessed construction costs

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    This thesis aims to be a contribution to the roll-out of new energy networks by presenting and discussing ways to minimize assessed construction costs associated with these networks. It does this by providing an extension of already existing methods to estimate building costs.Energy and IndustryTechnology, Policy and Managemen

    Data accompanying article: A planetary boundary for green water

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    This deposit contains the LPJmL model simulation outputs of mean monthly root-zone soil moisture ("LPJmL_rzsm_hist.zip") and the data underlying the plot in Fig. 3 ("Fig_3_plotdata.xlsx") in the article: Wang-Erlandsson, L., Tobian, A., van der Ent, R. J., Fetzer, I., te Wierik, S., Porkka, M., Staal, A., Jaramillo, F., Dahlmann, H., Singh, C., Greve, P., Gerten, D., Keys, P.W., Gleeson, T, Cornell, S. E., Steffen, W., Bai, X., Rockström, J., (2022): A planetary boundary for green water. Nature Reviews Earth & Environment. For method description, please refer to the article. Files in the folder "LPJmL_rzsm_hist.zip" are named as NN_rzsm_hist_M.tif, in which: NN refers to the name of an Earth system model, of which the outputs were used as forcing in the LPJmL runs rzsm refers to "root zone soil moisture" hist refers to historical period 1850-2014 M refers to name of month (jan for January etc.

    Assessing the Maturity of Public Construction Client Organisations

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    The construction sector is changing, and commissioning organisations have to rethink the way they approach the market. This is especially important for client organisations operating in the public domain, because of their role as change agent in the sector and their social responsibilities. The ‘Public Commissioning Maturity Model’ (PCMM), first presented in 2014, was created to raise awareness amount construction clients’ organisations to the range and width of their commissioning task. It provides a means to elicit discussion on the current and desired state of the organisation’s competences, thereby supporting these organisations in further professionalization. As a result of sixworkshop-based discussion sessions and five panel discussions, the value of the model was determined. In this paper, the validation path of the model in practice is described. The findings resulted in changes to improve the usability of the model for the construction sector, as well as alterations to increase the understanding of the model for workshop participants. Adjustments regarding stylistic issues and elements in the maturity model and supporting materials were also made. Applying the PCMM has proven to enableassessment of the current and desired organisational performance on different aspects of public commissioning by eliciting discussion and raising awareness. It is however not constituted for numerical ranking, sector-wide monitoring or benchmarking purposes, while these needs also exist among client organisations. Furthermore, it was found that the model is less suitable for organisations in the middle of a comprehensive change process.Public Commissionin

    Safeguarding public values by project-based construction clients: Leads for future research

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    In an environment with large interdependencies like the construction industry, projectbased public construction organisations are challenged to seek for 'new' ways to safeguard public values and project outcomes. Public bodies increasingly depend on private parties to achieve public values. Hence, due to the character of their tasks, they remain socialpolitically responsible. In order to find leads for future research into safeguarding public values by construction clients, an explorative literature study was conducted. The fields of institutional logics, public organisation science and public value management were used to gain insights in relevant multi-level organisational concepts considering the meaning of public values in the daily practice of public clients. Hybridity was found as characteristic of public-private partnerships. Furthermore, the management of institutional complexity as a central task for public construction clients implies the importance of monitoring ambidexterity and accountability. Future research into the understanding of safeguarding public values at all levels of public construction clients must centralise these concepts in order to contribute to the professionalization of public construction clients.Public Commissionin
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