Station Names (in Chinese) for 1497 ground monitoring stations with Lat and Long coordinates in Decimal Degrees. (The original data had missing x, y values for 15 of the stations which we have researched and added).

This dataset was generated in order to investigate wave-current interactions experiment data in the Agulhas Current along the East Coast of South Africa. The output of each experiment is in MATLAB .mat files and includes significant wave height (hs), peak period (tp), mean direction (dirm), datetime and datestring arrays. Corresponding lat long grids for both experimental setups (normal grid and high-res grid) can also be found. Details of how the data was generated can be found in the related publication.

Fractional cover (0 - 100%) for four land types across California at 30 m spatial resolution and for each year in 1985 - 2021. Recently updated to be processed using Landsat Collection 2 surface reflectance ("C2"). Vegetation types include tree (band 1), shrub (band 2), herbaceous (band 3), and bare (band 4). Cover is represented as integers using a scale factor of 100. Files represent a single year and a single tile in the USGS Landsat Analysis Ready Data tiling system (See: https://www.usgs.gov/landsat-missions/landsat-shapefiles-and-kml-files for more information and https://landsat.usgs.gov/ard_tile for a tool to look up ARD tiles according to overlapping lat/long coordinates.)

Fields included in this data set are: OBJECTID_1 - Centroid ID (unique identifiers for coastal segments used in the study); Lat - Latitude of the center of coastal segments; Long - Longitude of the center of coastal segments; Percentund - Child Malnutrition Rate (%); IMR - Infant Mortality Rate; GINI - Inequality Coefficient; GDP - Used in conjunction with GINI to calculate a social welfare function.

Fields included in this data set are: OBJECTID_1 - Centroid ID (unique identifiers for coastal segments used in the study); Lat - Latitude of the center of coastal segments; Long - Longitude of the center of coastal segments; and various other location attributes including Country, Region and State.