Code and data to reproduce figures and analyses of the paper: Gourgue, O., van Belzen, J., Schwarz, C., Vandenbruwaene, W., Vanlede, J., Belliard, J.-P., Fagherazzi, S., Bouma, T.J., van de Koppel, J., and Temmerman, S.: Biogeomorphic modeling to assess resilience of tidal marsh restoration to sea level rise and sediment supply, Earth Surf. Dynam., submitted. Standard Python dependencies: GDAL Geopandas Matplotlib NumPy Rasterio SciPy Seaborn Shapely scikit-learn Third-party Python dependencies: Centerline (https://github.com/fitodic/centerline) pputils (https://github.com/pprodano/pputils) pysheds (https://github.com/mdbartos/pysheds) In-house Python dependencies: Demeter 1.0.5 (https://doi.org/10.5281/zenodo.5205258) OGTools 1.1 (https://doi.org/10.5281/zenodo.3994952) TidalGeoPro 0.1 (https://doi.org/10.5281/zenodo.5205285)

Code and data to reproduce figures and analyses of the paper: Gourgue, O., van Belzen, J., Schwarz, C., Vandenbruwaene, W., Vanlede, J., Belliard, J.-P., Fagherazzi, S., Bouma, T.J., van de Koppel, J., and Temmerman, S.: Biogeomorphic modeling to assess resilience of tidal marsh restoration to sea level rise and sediment supply, Earth Surf. Dynam., submitted. Standard Python dependencies: GDAL Geopandas Matplotlib NumPy Rasterio SciPy Seaborn Shapely scikit-learn Third-party Python dependencies: Centerline (https://github.com/fitodic/centerline) pputils (https://github.com/pprodano/pputils) pysheds (https://github.com/mdbartos/pysheds) In-house Python dependencies: Demeter 1.0.5 (https://doi.org/10.5281/zenodo.5205258) OGTools 1.1 (https://doi.org/10.5281/zenodo.3994952) TidalGeoPro 0.1 (https://doi.org/10.5281/zenodo.5205285)

Code and data to reproduce figures and analyses of the paper: Gourgue, O., van Belzen, J., Schwarz, C., Vandenbruwaene, W., Vanlede, J., Belliard, J.-P., Fagherazzi, S., Bouma, T.J., van de Koppel, J., and Temmerman, S.: Biogeomorphic modeling to assess resilience of tidal marsh restoration to sea level rise and sediment supply, Earth Surf. Dynam., submitted. Standard Python dependencies: GDAL Geopandas Matplotlib NumPy Rasterio SciPy Seaborn Shapely scikit-learn Third-party Python dependencies: Centerline (https://github.com/fitodic/centerline) pputils (https://github.com/pprodano/pputils) pysheds (https://github.com/mdbartos/pysheds) In-house Python dependencies: Demeter 1.0.5 (https://doi.org/10.5281/zenodo.5205258) OGTools 1.1 (https://doi.org/10.5281/zenodo.3994952) TidalGeoPro 0.1 (https://doi.org/10.5281/zenodo.5205285)

Code and data to reproduce figures and analyses of the paper: Gourgue, O., van Belzen, J., Schwarz, C., Vandenbruwaene, W., Vanlede, J., Belliard, J.-P., Fagherazzi, S., Bouma, T.J., van de Koppel, J., and Temmerman, S.: Biogeomorphic modeling to assess resilience of tidal marsh restoration to sea level rise and sediment supply, Earth Surf. Dynam., submitted. Standard Python dependencies: GDAL Geopandas Matplotlib NumPy Rasterio SciPy Seaborn Shapely scikit-learn Third-party Python dependencies: Centerline (https://github.com/fitodic/centerline) pputils (https://github.com/pprodano/pputils) pysheds (https://github.com/mdbartos/pysheds) In-house Python dependencies: Demeter 1.0.5 (https://doi.org/10.5281/zenodo.5205258) OGTools 1.1 (https://doi.org/10.5281/zenodo.3994952) TidalGeoPro 0.1 (https://doi.org/10.5281/zenodo.5205285)

Dataset necessary to reproduce the analyses and results presented in the paper. Belliard, J.-P., Gourgue, O., Govers, G., Kirwan, M.L., & Temmerman, S. (2022) Coastal wetland adaptability to sea level rise: the neglected role of semi-diurnal versus diurnal tides, submitted to Limnology & Oceanography Letters. The dataset contains:
• The source codes of the zero-dimensional numerical model, parametrized for the two model experiments, and the Matlab scripts to generate model input data (pre-processing).
• The scripts to perform geospatial analysis in order to select data from the various compiled and acquired (meta-)datasets and the scripts to perform subsequent multi-variate analyses applied to these selected data.
• The processed data that are reported and represented in figures in the associated manuscript.
• The Matlab scripts to generate the figures of the manuscript based on these processed data • The excel file "SET_dataset.xlsx" which contains all compiled SET records used in this study (see manuscript).
• The original reference (published sources) "SET_dataset_original_references.docx" associated with each SET record compiled.

Dataset necessary to reproduce the analyses and results presented in the paper. Belliard, J.-P., Gourgue, O., Govers, G., Kirwan, M.L., & Temmerman, S. (2022) Coastal wetland adaptability to sea level rise: the neglected role of semi-diurnal versus diurnal tides, submitted to Limnology & Oceanography Letters. The dataset contains:
• The source codes of the zero-dimensional numerical model, parametrized for the two model experiments, and the Matlab scripts to generate model input data (pre-processing).
• The scripts to perform geospatial analysis in order to select data from the various compiled and acquired (meta-)datasets and the scripts to perform subsequent multi-variate analyses applied to these selected data.
• The processed data that are reported and represented in figures in the associated manuscript.
• The Matlab scripts to generate the figures of the manuscript based on these processed data • The readme file detailing the contents of every data file, model subroutine and processing script.
• The metadata document
• The excel file "SET_dataset.xlsx" which contains all compiled SET records used in this study (see manuscript)
• The original reference (published sources) "SET_dataset_original_references.docx" associated with each SET record compiled.

Dataset necessary to reproduce the analyses and results presented in the paper. Belliard, J.-P., Gourgue, O., Govers, G., Kirwan, M.L., & Temmerman, S. (2022) Coastal wetland adaptability to sea level rise: the neglected role of semi-diurnal versus diurnal tides, submitted to Limnology & Oceanography Letters. The dataset contains:
• The source codes of the zero-dimensional numerical model, parametrized for the two model experiments, and the Matlab scripts to generate model input data (pre-processing).
• The scripts to perform geospatial analysis in order to select data from the various compiled and acquired (meta-)datasets and the scripts to perform subsequent multi-variate analyses applied to these selected data.
• The processed data that are reported and represented in figures in the associated manuscript.
• The Matlab scripts to generate the figures of the manuscript based on these processed data • The readme file detailing the contents of every data file, model subroutine and processing script.
• The metadata document
• The excel file "SET_dataset.xlsx" which contains all compiled SET records used in this study (see manuscript)
• The original reference (published sources) "SET_dataset_original_references.docx" associated with each SET record compiled.

Dataset necessary to reproduce the analyses and results presented in the paper. Belliard, J.-P., Gourgue, O., Bouillon, S., Govers, G., Kirwan, M.L., & Temmerman, S. (2021) Coastal wetland adaptability to sea level rise: the neglected role of semi-diurnal versus diurnal tides, submitted to Geomorphology. The dataset contains:
• The source codes of the zero-dimensional numerical model, parametrized for the two model experiments, and the Matlab scripts to generate model input data (pre-processing).
• The processed data that are reported and represented in figures in the associated manuscript.
• The Matlab scripts to generate the figures of the manuscript based on these processed data.

Dataset necessary to reproduce the analyses and results presented in the paper. Belliard, J.-P., Gourgue, O., Govers, G., Kirwan, M.L., & Temmerman, S. (2021) Coastal wetland adaptability to sea level rise: the neglected role of semi-diurnal versus diurnal tides, submitted to Nature Communications. The dataset contains:
• The source codes of the zero-dimensional numerical model, parametrized for the two model experiments, and the Matlab scripts to generate model input data (pre-processing).
• The processed data that are reported and represented in figures in the associated manuscript.
• The Matlab scripts to generate the figures of the manuscript based on these processed data.

Dataset necessary to reproduce the analyses and results presented in the paper. Belliard, J.-P., Gourgue, O., Govers, G., Kirwan, M.L., & Temmerman, S. (2021) Coastal wetland adaptability to sea level rise: the neglected role of semi-diurnal versus diurnal tides, submitted to Nature Geoscience. The dataset contains:
• The source codes of the zero-dimensional numerical model, parametrized for the two model experiments, and the Matlab scripts to generate model input data (pre-processing).
• The processed data that are reported and represented in figures in the associated manuscript.
• The Matlab scripts to generate the figures of the manuscript based on these processed data.