Data_Gouezo_etal._EcolApp_Figshare.zip

<br>Following the Methods section of the manuscript: "Going with the flow: leveraging reef-scale hydrodynamics for upscaling larval-based restoration"Data are organized into subfolders corresponding to the subsections and are further detailed below:<br><b>Subsection: Model validation approach and assessment of localized current variability</b> <b>Data Subfolder</b>: Model_Drifter_Data Drifter track data as .csv files Particle track data as .csv files and .json files Track analysis data as .csv files <b>Data Subfolder</b>: Model_TiltCurrentmeter_Data .csv file with current velocity data from the tilt current meter (u_f, v_f) and from the nearest model cell (u_m, v_m) For all variables, _f corresponds to the tilt current meter, and _m corresponds to the model.<b>Subsection: Collection phase: predicting coral spawn slicks</b> <b> Data Subfolder</b>: ModellingSlicks_dsp_RasterData Raster files data for each spawning simulation with and without surface wind forcing of 3% The .tiff output of each dispersal simulation was summed in QGIS for each scenario to represent the overall density of particles within the model domain during the 16-hour dispersal timeframe.<br><b>Subsection: Larval delivery phase: predicting the residency of particles over damaged reefs</b> <b>Data Subfolder</b>: ParticlesResidencyOutput_Data Following the workflow detailed at https://doi.org/10.5281/zenodo.14759539 to extract spatio-temporal data of particles within 1 hectare of delivery sites Each .csv file shows spatio-temporal data of all the particles that remained within 1 hectare of a specific delivery location at a specific delivery time and day.<b>Subsection: Larval delivery phase: a posteriori in situ current speed conditions</b> <b>Data Subfolder</b>: Model_TiltCurrentmeter_Data Same dataset as in the first subsection, using tilt current meter data.