Data underlying the figures presented in the paper: A global empirical GIA model based on GRACE dataRiccardo Riva & Y. (Yu) Sun
Data used to generate the figures presented in the draft paper: A global empirical GIA model based on GRACE data by Yu Sun and Riccardo E. M. Riva.
Tabu-Based Adaptive Large Neighbourhood Search for Time/Sequence-Dependent Scheduling Problems with Time WindowsLei He, M.M. (Mathijs) de Weerdt & Neil Yorke-Smith
The dataset contains the benchmark data for a class of scheduling problems with time/sequence-dependent setup times and time windows. It includes a real-world multi-orbit agile Earth observation satellite scheduling problem, and an order acceptance and scheduling problem. The source code of the algorithm ALNS/TPF is also included.
This dataset contains 3D models of livers and rib cages during inspiration and expiration of four patients. The models are derived from CT scans. For the full image segmentation methods of these models and the description of the datasets, please refer to the corresponding journal article.
The data set contains 1 analytical model in Matlab and 5 Delft3D models for different scales and environments (erosional, depositional or balanced). The analytical model determines the theoretical equilibrium between channel incision and transverse sediment transport. The Delft3D models were used to quantify the effects of increased downslope sediment transport on morphology.
Data underlying the publication: Design of an ultra-thin steerable probe for percutaneous interventions and preliminary evaluation in a gelatine phantomMarta Scali, P.A.H.(Paulien) Veldhoven, P.W.J. (Paul) Henselmans, Dimitra Dodou & P.(Paul) Breedveld
Dataset belonging to the journal article "Design of an ultra-thin steerable probe for percutaneous interventions and preliminary evaluation in a gelatine phantom". PLOS ONE.
Supplementary data to the paper: Effect of convection coefficient and thickness on optimal cure cycles for the manufacturing of wind turbine components using VARTMGiacomo Struzziero
The paper deals with the influence of the convection coefficient and laminate thickness on multi-objective optimisation of the vacuum assisted resin transfer moulding cure stage for the manufacturing of wind turbine components. An epoxy resin system widely used in the wind turbine industry has been chemically characterised and the correspondent finite element implementation validated. The optimisation methodology developed links the finite element solution with a genetic algorithm and identifies a set of optimal cure cycles...