Data repository for the paper: Seasonal shoreline variability induced by subtidal water level fluctuations at reef-fringed beaches by Laura Elena Segura, Jeff Hansen and Ryan Lowe. Journal of Geophysical Research: Earth Surface (2018)

In this repository you can find the dataset with the shorelines extracted from 44 high-resolution images (Nearmap.com.au) and 19 topographic surveys. The data is in MATLAB files (.mat). If you need the data in another format please let me know.

• Shorelines from images: shorelines_nearmap.mat

  date_nearmap: year, month and day when the image was taken of the corresponding shorelien was taken.

  dateser_nearmap: serial date (Number of days from 1/1/1970)

  yy_nearmap: a matrix of 1300 rows and 49 columns. The rows represent the cross-shore shoreline position recorded each meter starting at 1352 m (row 1) and finishing in 53 m. If you want to plot the shorelines as in the paper, just plot them againts a vector y = 53:1:1352 that represents the alongshore position.

• Shoreline from topographic surveys: Contours_MO.mat

  dates_MO: serial date, year, month and day for each topographic survey where the shoreline contour was extracted.

  swell_MO: Mean swell wave height for the day that each topographic survey was collected.

  days: a list with the dates as Mmm dd.

  height: elevation of the shoreline contours. It has seven elevations (in meters): 0.1 , 0.25 , 0.55, 0.75, 0.95, 1.15, 1.55 and 1.85. The resuts from the paper were calculated using the contours from the elevation 2 (yy2).

  yy00, yy1, yy2, ...: Contours corresponding to each elevation. They are matrices of 1300 rows and 24 columns. The rows represent the cross-shore shoreline position recorded each meter starting at 1352 m (row 1) and finishing in 53 m. If you want to plot the shorelines as in the paper, just plot them againts a vector y = 53:1:1352 that represents the alongshore position. In the paper we use 19 surveys: 1, 2, 3, 4, 6, 8, 9, 12 and 14 to 24.