7 research outputs found

    Group-Slicer: A collaborative extension of 3D-Slicer

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    AbstractIn this paper, we describe a first step towards a collaborative extension of the well-known 3D-Slicer; this platform is nowadays used as a standalone tool for both surgical planning and medical intervention. We show how this tool can be easily modified to make it collaborative so that it may constitute an integrated environment for expertise exchange as well as a useful tool for academic purposes

    TRY plant trait database – enhanced coverage and open access

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    Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

    Çédille, revista de estudios franceses

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    PresentaciĂł

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    El pasado mes de abril iniciamos una nueva etapa en Çédille, representada principalmente por su traslado a la plataforma Open Journal System (OJS) de la Universidad de La Laguna, asĂ­ como por la renovaciĂłn y reasignaciĂłn de competencias del Consejo de RedacciĂłn. Durante este tiempo, hemos tenido que adaptarnos, experimentar y comprender, pacientemente, el funcionamiento de esta nueva herramienta que es OJS. Ello ha supuesto, en algunos casos, que se hayan producido determinadas dificultades de comunicaciĂłn con nuestros lectores y evaluadores, o que se hayan ocasionado pequeños retrasos en la gestiĂłn de la revista. Como nuestros seguidores saben, muy recientemente hemos sufrido, ademĂĄs, un ataque informĂĄtico que no solo impidiĂł el acceso a la plataforma durante varios dĂ­as (justo en el momento final de producciĂłn de este nĂșmero), sino que obligĂł a trasladar nuestro sitio web a otro servidor y a implementar nuevas medidas de seguridad. Afortunadamente, gracias al buen hacer y profesionalidad de Juan Ascanio AmigĂł, asesor tĂ©cnico de OJS para la Universidad de La Laguna, hemos logrado salir airosos de los problemas, complicaciones y secuelas que nos hemos ido encontrando en este tiempo. En este nĂșmero que ahora ve la luz contamos con treinta y cuatro contri-buciones que superan, en total, las setecientas pĂĄginas. AsĂ­, Amelia Gamoneda Lanza y Francisco GonzĂĄlez FernĂĄndez se han encargado de coordinar una nueva entrega –la undĂ©cima– de la serie «MonografĂ­as», donde han reunido una ..

    TRY plant trait database - enhanced coverage and open access

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    10.1111/gcb.14904GLOBAL CHANGE BIOLOGY261119-18
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