Data presented in the paper “Water motion and vegetation control the pH dynamics in seagrass-dominated bays”

This dataset contains data collected from three sites on the eastern side of St Martin, Caribbean. A sheltered site (Galion Bay), exposed site (Orient Bay) and a site with strong unidirectional flow currents (Islets de L’embouchure). Monitoring of diurnal pH, waves, vegetation cover, light and temperature were conducted at each site. Additionally, an experiment was conducted at the unidirectional flow site to investigate the influence of water residence time and vegetation on diurnal pH fluctuations. Detailed information can be found in the published paper

Data presented in the paper 'Effects of sediment disturbance regimes on Spartina seedling establishment: implications for salt marsh creation and restoration'

The dataset contains seedling survival, critical erosion depth and morphological traits for Spartina alterniflora and Spartina anglica when been exposed to a set of accretion/erosion regimes in the laboratory. The study aims at gaining quantitative insight into how salt marsh seedling survival is affected by short-term sediment dynamics, and to what extent this may be mitigated by morphological adjustments by the plant

Data presented in the paper “Tropical biogeomorphic seagrass landscapes for coastal protection: persistence and wave attenuation during major storm events“

This dataset contains data collected in Saint Martin, Caribbean. Vegetation surveys were conducted before and after the 2017 Hurricane season in which category 5 Hurricane Irma directly hit the island. The 1D wave propagation model, XBeach, was used to model wave propagation over the seagrass meadow in Baie de L'embouchure in normal and hurricane-like conditions. Biomechanical measurements were conducted on the dominant seagrass and algae species within the meadow to investigate their tolerance to drag forces

Data presented in the paper "Putting self-organization to the test: labyrinthine patterns as optimal solution for persistence"

Study objective: understanding the role of spatial self organisation in the protection against dislodgemen

Using Remote Sensing to Identify Drivers behind Spatial Patterns in the Bio-physical Properties of a Saltmarsh Pioneer

Datasets underlying the publication: Using remote sensing to identify drivers behind spatial patterns in the bio-physical properties of a saltmarsh pionee

Data presented in the paper "Dynamic equilibrium behaviour observed on two contrasting tidal flats from daily monitoring of bed-level changes"

This data set was prepared to verify the core relation between intertidal morphodynamics and BSS distribution as descripted by the Dynamic Equilibrium Theory (DET). Hydrodynamic and bed-level change data were monitored daily for one year on two tidal flats with contrasting wave exposures. Notably, the bed-level change data were provided by SED-sensors (surface elevation dynamic sensors). The data sets presented here includes the bed-level data, wave data, water depths and current velocity

Data presented in the paper "Timing it right: Non-consumptive effects on prey recruitment magnify overtime"

This study aimed to quantify the impact of starfish presence on recruitment of mussel larvae. This was done with two trials ("Experiment column") by deploying spat collectors in meshed cages (cage column) (on multiple chains(Chain column)) with and without starfish Asterias rubens (Treatment column). Collectors were taken out weekly. Settled mussels (Count column) and other organisms (Amphipods, Polychaete, Other and Total column) were counted for each collector.Mussel spat was also measured (Length and Area columsn

Vegetation recovery on neighboring tidal flats forms an Achilles’ heel of tidal marsh resilience to sea level rise

Supplementary data for the paper: "Revegetation of tidal flats forms an Achilles’ heel of saltmarsh resilience to sea level rise". This dataset includes: 1) a csv file that contains field data of seed persistence and corresponding wave conditions at each site; 2) R codes (two versions) for the marsh revegetation model

Data presented in the paper "Restoring musselbeds in highly dynamic environments by lowering establishment thresholds"

Using juvenile mussels as model species, we tested in a large field experiment if establishment thresholds caused by a high predation pressure and wave-driven dislodgement could be lowered by a combination of artificial structures such as anti-crab fences, attachment substrates and breakwaters

Data presented in the paper: A Novel Instrument for Bed Dynamics Observation Supports: Machine Learning Applications in Mangrove Biogeomorphic Processes

Short-term bed level dynamics on the intertidal flats plays a critical role in long-term coastal wetland dynamics. High-frequency observation techniques are crucial for better understanding of intertidal biogeomorphic evolutions. Here, we introduce an innovative instrument for bed dynamics observation, i.e. LSED-sensor (Laster based Surface Elevation Dynamics sensor). LSED-sensors inherit the merits of the previously-introduced optical SED-sensors as it enables continuous long-term monitoring with relatively low cost of labor and acquisition. By adapting Laster-ranging technique, LSED-sensors avoid touching the measuring object (i.e. bed surface) and they do not rely on daylights, as it is for the optical SED-sensors. Furthermore, the new LSED-sensors are equipped with a real-time data transmission function, enabling creating automatic observation networks covering multiple (remote) sites. During a 21-days field survey in a mangrove wetland, good agreement (R2=0.7) has been obtained between the automatic LSED-sensor measurement and an accurate ground-truth measurement method, i.e. Sedimentation Erosion Bars. The obtained LSED-sensor data was subsequently used to develop machine learning predictors, which revealed the main drivers of the accumulative and daily bed level changes. We expect that the LSED-sensors can further support machine learning applications to extract new knowledge on coastal biogeomorphic processes