The dataset contains plant cover by species sampled on three occasions using a grid of 0.5 x 0.5m quadrats within experimental field plots. The percentage cover of each species was estimated visually within each of the nine, 0.5 x 0.5m quadrats in each plot. The total percentage cover was the sum of all individual species’ covers within a quadrat. This study was conducted in the foredune area of Anastasia State Park, located south of St Augustine in Florida, USA between March 2018 to January 2019 Full details about this dataset can be found at https://doi.org/10.5285/0c93703a-c185-4dd9-b8d7-8d3698535245

This dataset presents plant percentage cover by species, average plant cover and species richness for sites along the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. Plant cover by species was sampled on three occasions using 0.5 x 0.5m quadrats distributed along 3 transects at up to 28 sites. Observations were conducted in February 2018, July 2018, and January 2019. The coastline was impacted by Hurricane Irma in October 2017 and the data were collected to look at plant composition in coastal foredunes undergoing recovery from the hurricane. The data were collected as part of NERC grant NE/R016593/1, Resilience of a coastal ecosystem following hurricane Irma. Full details about this dataset can be found at https://doi.org/10.5285/100af68f-78e2-4b9d-86b9-5777a5ef38fa

Topographical and orthophotograph data sets created using Structure from Motion (SfM) from Unmanned Aerial Vehicle (UAV) data, presented as Orthophotographs (image and world file), Digital Surface Models (DSM) (image and world file), and point clouds (LAS format) using EPSG 32620 projection. The data was collected at selected sites on Dominica, Caribbean in January/February 2018 as part of a NERC funded project (NE/RO16968/1) to conduct geomorphological change and infrastructure damage baseline surveys following hurricane Maria. The data was flown using either a DJI Phantom 3 or 4, as indicated by the file name. If the file name includes 'NoGCP' in the file name the data uses the internal GPS and altitude of the DJI UAV. This means the data is not positionally accurate in absolute terms and should not be used in direct comparison to other georeferenced data. If the file name includes 'GCP' then the data was georeferenced using ground control derived from UAV data provided by the University of Michigan. This data is deemed accurate in absolute terms. (World Bank. 2018 Aug 31; Geotechnical Engineering Research Report(UMGE-2018/01))

This collection of datasets hold the tropical storm tracks derived from the Coupled Model Intercomparison Project Phase 6 (CMIP6) HighResMIP model simulations obtained from the Earth System Grid Federation (ESGF). Different storm tracking algorithms are used to identify the storm tracks including TRACK (Hodges, K., et. al., 2017) and TempestExtremes (Ullrich and Zarzycki, 2017; Zarzycki and Ullrich, 2017).