This dataset contains data regarding how branching cold-water corals (Lophelia pertusa) modify flow velocity. The data are generated in two ways; through Particle Imaging Velocimetry (PIV) on Lophelia pertusa nubbins, and through modelled simulations of how growing L. pertusa will impact resultant flow around them. Coral colonies for experimental PIV analysis in flumes were collected at 107 metres depth from the Central Tisler Reef in 2014. Flow patterns in the areas behind L. pertusa colonies and around coral nubbins were studied at a range of average free stream velocities using PIV to match a variety of field ranges. Velocity values representing water speeds at locations on coral nubbins as well as images from PIV as resulting vectors and streamline vectors under a variety of scenarios are all included in this dataset. This work was done between March and October 2014. For the modelling data, a Smoothed Particle Hydrodynamics (SPH) model was created to simulate coral growth with simple rules, that coral would 'grow' where flow velocity was optimal for feeding. A fully Lagrangian numerical SPH approach was employed to model and capture the dynamic and complex hydrodynamic fluid-solid interactions of coral growth. The model code and images generated by the code were produced between August 2016 and January 2021 and are included in this dataset. The generation of these data were funded by NERC grants NE/K009028/1, NE/K009028/2, NE/L002558/1, NE/H010025, European Commission ASSEMBLE Project (Grant Agreement No. 227799), Royal Society of Edinburgh 48701/1, FORMAS Grant No. 215-2012-1134, EU Horizon 2020 Research and Innovation Program Grant Agreement No. 678760 and No. 818123, and UKRI GCRF One Ocean Hub NE/S008950/1.
Hennige S.; Larsson A.I.; Orejas C.; Gori A.; De Clippele L.H.; Lee Y.C.; Jimeno G.; Georgoulas K.; Kamenos N.; Roberts J.M.(2021). Physical and modelled interactions between coral growth and water hydrodynamics using Lophelia pertusa as a model organism. NERC EDS British Oceanographic Data Centre NOC. doi:10/gnm9.