This repository contains the data associated with the paper: Multi-decadal shoreline change in coastal Natural World Heritage Sites - a global assessment (http://doi.org/10.1088/1748-9326/ab968f). It contains: - 2020_transects_data_shorelines_linearity_geomorphology_final.csv: a dataset of transect-based shoreline and geomorphological datasets in 67 coastal Natural World Heritage Sites with available shoreline data. -2020_transects_data_shorelines_strong_linear_geomorphology_final.csv: a dataset of transect-based strong linear trends (recessional, depositional and stable) and geomorphological datasets in 59 coastal Natural World Heritage Sites with strong linear behaviour. Shorelines were derived from a global assessment of derived Landsat images (Luijendijk, A. et al.,2018, https://doi.org/10.1038/s41598-018-24630-6, Hagenaars, G. et al., 2018, 10.1016/j.coastaleng.2017.12.011 and Hagenaars, G. et al., 2017, http://resolver.tudelft.nl/uuid:34a0114b-5e39-4b52-9940-3a7e9f5a2982). Conditional and outlier data cleaning were undertaken on the raw shoreline dataset for further analysis. The geomorphological data have been obtained from the following datasets: Topography: Global Map DEM (2017) - https://globalmaps.github.io/ Land cover: Global Land Cover by National Mapping Organisations - GLCNMO (Kobayashi, T. et al., 2013, 10.5539/jgg.v9n3p1) Coastal type: Worldwide Typology of Nearshore Coastal Systems (Dürr, H. H. et al., 2011, https://doi.org/10.1007/s12237-011-9381-y) Lithology: Global Lithological Map - GliM (Hartmann, J. & Moosdorf, N., 2012, https://doi.org/10.1029/2012GC004370) For each perpendicular transect to the satellite-derived shorelines, a set of data is provided in the table columns: transect_id: unique identifier of the transect Continent: continent of the transect country_name: country of the transect Intersect_lon: the longitude of the middle point of the transect drawn between the first available shoreline (1984 or more) and the latter available shoreline (2016). Intersect_lon: the latitude of the middle point of the transect drawn between the first available shoreline (1984 or more) and the latter available shoreline (2016). NAME: name of the coastal Natural World Heritage Site ORIG_NAME: the original name of the coastal Natural World Heritage Site INT_CRIT: criteria of selection of the coastal Natural World Heritage Site dt_max: is the latest year for which SDS data points are available (2016) dt_min: is the first year for which SDS data points are available (starts from 1984) nb_shorelines: the number of shorelines available from dt_min to dt_max cor: Pearson’s correlation coefficient (r) p.value: Pearson’s correlation coefficient (r) p-value cor_fact: classification of Pearson’s correlation coefficient (r) 0: Non-linear (-0.3 to 0.3). 1: Weak linear ( -0.7 to -0.3 or 0.3 to 0.7) 2: Strong linear (less than -0.7 or greater than 0.7) coeflm: Ordinary Least Square linear regression rate (m yr-1) std: standard deviation of the Ordinary Least Square linear regression rate (m yr-1) Mean_DEM_Class: topography 1: 0 ≤ elevation ≤ 1 m (extremely low-lying) 2: 1 < elevation ≤ 10 m (low-lying) 3: 10 < elevation ≤ 50 m (middle) 4: 50 < elevation ≤ 400 m (high) 5: No data (transects without available elevation) GLIM_categories: lithology ev: Evaporites ig: Polar ice and Glaciers pa: Acid Plutonic Rocks pb: Basic-Ultrabasic Plutonic Rocks pi: Intermediate Plutonic Rocks mt: Metamorphic Rocks sc: Carbonate Sedimentary Rocks sm: Mixed Sedimentary Rocks ss: Siliciclastic Sedimentary Rocks su: Unconsolidated Sediments py Pyroclastic va: Acid Volcanic Rocks vb: Basic Volcanic Rocks vi: Intermediate Volcanic Rocks Land_Cover_Class: land cover 1: Coral reefs 2: Mangroves 3: Marshes 4: Vegetated 5: Non-vegetated 6: Urban areas Coastal_type_Class_1: coastal types 1: Small deltas 2: Tidal systems 3: Lagoons 4: Fjords and fjärds 5: Large rivers 6: Large rivers with tidal influence 7: Karst-dominated stretches of coasts 8: Arheic (dry areas) 9: Islands cor_classes_1: classification of Pearson’s correlation coefficient (r) StrongLin: Strong linear (less than -0.7 or greater than 0.7) WeakLin: Weak linear ( -0.7 to -0.3 or 0.3 to 0.7) NonLin: Non-linear (-0.3 to 0.3). shoreline_trend_classes: Ordinary Least Square linear regression rate (m/y) for strong linear shoreline behaviours StrongLinSta: stable - shoreline change rate between -0.5 and 0.5 m yr-1 StrongLinAcr: depositional - shoreline change rate >0.5 m yr-1 StrongLinErr: recessional - shoreline change rate <-0.5 m yr-1