Visualisation. A package to visualise the data and generate a standard set of diagnostics for preliminary evaluation of the data will be developed and prepared for deployment. This will include time series of global means and decadal climatologies, and pre-computed ensemble means. The visualisation user interface will allow users to browse the catalogue (which is expected to contain of the order 108 entries) and select display options, the server side image generation software will generate a range of products from the archived data. The visualisation will be based on xxx.xxxx-xxxx.xxx/xxxx/ which provides access to order 105 distinct fields. Data manipulation and efficiency: A service to carry out basic data manipulation will be provided in order to give users flexibility about the data they transfer. The service will provide for data sub-setting and aggregation, and interpolation to a predefined common grid. Where possible, existing software libraries will be exploited and put behind a common web service interface. Regional model support: An interface to facilitate running regional models forced by archived climate model projections will also be developed. The interface will allow regional models running on remote machines to extract forcing fields from the archive and transfer only those grid points which are actually required, avoiding the unnecessary overhead of downloading global fields. The interface will exploit the OASIS coupler.
Visualisation. The visual representation of scientific data has been a key component of science. Nowadays, the field of scientific visualization is growing fast, thanks to the technological explosion and a renewed interest of society in design and aesthetics. Research area specific Applications of the preceding topics will be provided in the specific context of the three research areas of CompBioMed: cardiovascular, molecularly-based and neuro-musculoskeletal medicine.
Visualisation. 3. Batch data processing / sharing software Finding data and publishing data share the fourth place, while machine learning tools got one vote. Interestingly staging and archiving data is not considered a priority by the participants and even though sharing software is considered important, finding software also did not get any votes. Of course, the result shown above is a reflection on the people participated in the vote during the workshop, not all ESFRI partners and ESCAPE WP5 member institutes joined the voting. The goal of prioritisation is to define a Minimal Viable Product (MVP) that contains the most required functionality while still covering a significant part of the processing chain.
Visualisation. 10.1.3 Asset management
Visualisation. With such large amounts of data it is essential to find effective visualization methods. Visualisation will help: • providers to navigate the classification, cut off inappropriate branches, and perform other crowd-sourcing actions • consumers to explore objects in a large dataset In addition to the visualization tools researched in [Alexiev 2015a], we may want to research these: • xxxx://xxx.xxxx.xxx/latest/samples/ • xxxx://xxxxx.xxx 47,48,49 • xxxx://xx.xxxxxxxxx.xxx/ 47 xxxx://xxxxx.xxx/network_examples.html#allExamples 48 xxxx://xxxxx.xxx/graph2d_examples.html#allExamples 49 xxxx://xxxxx.xxx/graph3d_examples.html#allExamples Below we repeat the few d3 visualizations that we think are most promising for displaying large category trees. The category numbers and scoring (sec. 2.3.6) should be used to size and color the individual diagram items for those diagrams that allow it. (E.g. on a Tree Map, size of area may show descendant articles, while intensity of color may show confirmed matching objects).
Visualisation. The importance of versatile analysis and visualization techniques for simulation work is self-evident. Our programme will demand an entirely new level of techniques to cope, for example, with the multi-terabyte datasets generated by the Millennium project, or with the need for visualizing remote datasets. To give a concrete example, imagine a user wants to analyse an N-body/SPH simulation of the formation of a galaxy for the first time. At the beginning it is highly desirable to obtain an overview of what the dataset as a whole contains - for example, to see what the components of the galaxy look like, where the nearest neighbours of the galaxy are and to watch how the galaxy was assembled. We aim to provide a web-based service for the TVO which will enable interactive exploration of datasets and the making of movies under the directorial control of the user. To date, most cosmological simulations are particle-based while many fluid dynamic simulations are mesh-based. The visualisation of particle datasets has been somewhat underdeveloped and, while there are plenty of commercial packages for visualizing mesh-based data, to our knowledge, none exist that are suitable for particle-based data. Virgo members have developed state-of-the-art visualization methods that employ adaptively smoothed particle projections to produce high-resolution images and computer animations. These, however, need further development to cope with the Tbyte datasets of the TVO. More sophisticated techniques than those we have used so far for producing 3D smoothed density fields, such as methods based on Wiener filtering or Maximum Entropy, will also need to be developed. Cosmologists at Durham and Garching, in particular, are known worldwide for the quality of their visualisations, including high-resolution movies of physical processes of DVD or HDTV quality. This material is frequently requested by scientists and the public alike. Last year, Durham cosmologists developed a code for making stereoscopic images which allows the user (with suitable equipment) to view still images or animations from cosmological simulations in 3D. These techniques were used to make a 4-minute stereoscopic movie of the evolution of the Universe which was shown at the Royal Society Summer Science Exhibition last year. Making this movie, however, was a major enterprise which required substantial assistance from a commercial company. Stereoscopic visualization is valuable not only for spectacular public out...
Visualisation. Visualisation in fixed skin Visualisation methods in skin research have been summarised elsewhere (80). This review provides an excellent overview of advantages and disadvantages of the various available methods (80) to depict penetrated substances. While in conventional light microscopy a penetrant with a strong contrast has to be used, autoradiography requires radioactive labelling of the permeant. Electron microscopy has the advantage of providing images with a very high resolution. However, in most cases the choice of the permeation agent is limited to substances with high electron density or substances linked to an electron dense marker, such as gold. All of these techniques require fixation, which can be obtained for example by chemical embedding or cryo-fixation of the skin. This fixation procedure in combination with subsequent slicing of the object can introduce artefacts, such as delocalisation of the label. Therefore fixation by chemicals or by cryo-fixation should be avoided. Visualisation in non-fixed skin Visualisation techniques which do not require embedding and freezing of the object are magnetic resonance imaging (81-83), video microscopy (84-87), ultrasound backscatter microscopy (88) and confocal laser scanning microscopy (89-95). The combination of the latter technique with confocal raman spectroscopy (96) even enables to obtain a molecular composition of selected spots in the skin with high spatial resolution (97). For these techniques model drugs with adequate characteristics such as raman active substances, dipole structures or fluorescent dyes have to be selected. Confocal raman spectroscopy has already been applied in vivo in humans. Magnetic resonance imaging has the advantage that it can be used in vivo very deep in the skin and subcutaneous tissue however; the resolution is limited compared to confocal raman or confocal laser scanning microscopy. The resolution of video and ultrasound microscopy is even worse and can therefore not be used for visualisation of substances in hair follicles. In hair follicle research high resolution of the visualised area is necessary paired with reaching deep layers of the skin for the visualisation of the hair bulb. As pointed out above, the current in vivo visualisation techniques are either limited in resolution or depth penetration. Therefore, it was decided to primarily focus on a promising in vitro technique fulfilling the requirements of resolution and depth penetration. Therefore confocal...
Visualisation. The application must show the user when the storing or transferring of Eye Tracking Data is taking place. Unless a mechanism for visualisation is provided by Tobii, the Customer must provide it. This is required unless explicitly waived by Xxxxx. We recommend the following be implemented in the Customer’s application: • The “What’s in it for me” policy: Clearly inform users about the value they will receive from your application. This is about giving the user clear guidance and motivation about why they should provide their Eye Tracking Data.
