Provenance, workflows, and crystallographic tools in materials science: AiiDA, spglib, and seekpath
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We present a visualization framework for exploring and analyzing data sets from biomechanical and neuromuscular simulations. These data sets describe versatile information related to the different stages of a motion analysis. In studying these data using a ...
Mu-33, a new layered aluminophosphate with an Al/P ratio of 0.66, was obtained from a quasi non-aqueous synthesis in which tert-butylformamide (tBF) was the main solvent and only limited amounts of water were present. During the synthesis, tBF decomposed a ...
Machine learning is a broad discipline that comprises a variety of techniques for extracting meaningful information and patterns from data. It draws on knowledge and "know-how" from various scientific areas such as statistics, graph theory, linear algebra, ...
The climate in the Sahel is marked by the spatial and temporal variability of rainfall. As the agriculture is mainly rainfed in Burkina Faso, the information about rainfall is crucial to help the farmers in their decisions. A network of wireless sensorscop ...
How often have you been able to implement an algorithm as it is described in a paper? And when you did, were you confident that you had exactly the same parameter values and results as the authors of the paper? All too often, articles do not describe all t ...
Activity recognition has primarily addressed the identification of either actions or well-defined interactions among objects in a scene. In this work, we extend the scope to the study of workflow monitoring. In a workflow, ordered groups of activities (pha ...
Data lineage and data provenance are key to the management of scientific data. Not knowing the exact provenance and processing pipeline used to produce a derived data set often renders the data set useless from a scientific point of view. On the positive s ...
Integrated natural resources management is an emerging discipline that aims to move beyond piecemeal approaches and promote integrated actions over a wide range of disciplines and actors. One of the technical challenges of this new discipline is the integr ...
Due to daylight variability, a design cannot be thoroughly assessed using single-moment simulations, which is why we need dynamic performance metrics like Daylight Autonomy and Useful Daylight Illuminance. Going one step further, the annual variation in pe ...
The increasing interest in new software engineering technologies for application integration such as Service Oriented Computing and Service Orchestration has resulted in a proliferation of workflow management systems as the underlying representation and ex ...