This dataset contains sample descriptions of bulk radiocarbon samples collected from the Guanabanas road exposure of the South Lajas fault, Puerto Rico, and can be found in Table S3 of the related manuscript.

This dataset contains radiocarbon analytical data and ages for samples collected from the Guanabanas road exposure of the South Lajas fault, and can be found in Table 2 and Table S4 of the related manuscript.

This dataset provides detailed unit descriptions of the Guanabanas road exposure of the South Lajas fault, Puerto Rico, and can be found in Table S2 and summarized in Table 1 in the related manuscript.

This dataset provides detailed unit descriptions of the Guanabanas road exposure of the South Lajas fault, Puerto Rico, and can be found in Table S2 and summarized in Table 1 in the related manuscript.

This data release documents neotectonic mapping of fault-related features on high-resolution lidar-derived topography, data documenting an exposure of the South Lajas fault, and summary information for active and potentially active Quaternary faults on the island of Puerto Rico. The data documenting the exposure of the South Lajas fault include detailed unit descriptions, radiocarbon sample descriptions, data, and results, and a structure-from-motion-derived orthophoto mosaic of the exposure. Luminescence data and ages for the exposure can be found in a related data release. These datasets are associated with the manuscript: Thompson Jobe, J. A. R. Briggs, K. S. Hughes, J. Joyce, R. Gold, S. Mahan, H. Gray, L. Strickland (in review). Neotectonic mapping of Puerto Rico.

This data release documents neotectonic mapping of fault-related features on high-resolution lidar-derived topography, data documenting an exposure of the South Lajas fault, and summary information for active and potentially active Quaternary faults on the island of Puerto Rico. The data documenting the exposure of the South Lajas fault include detailed unit descriptions, radiocarbon sample descriptions, data, and results, and a structure-from-motion-derived orthophoto mosaic of the exposure. Luminescence data and ages for the exposure can be found in a related data release. These datasets are associated with the manuscript: Thompson Jobe, J. A. R. Briggs, K. S. Hughes, J. Joyce, R. Gold, S. Mahan, H. Gray, L. Strickland (in review). Neotectonic mapping of Puerto Rico.

This dataset contains an orthophoto of the Guanabanas road exposure of the South Lajas fault in southwest Puerto Rico, created using structure-from-motion.

This dataset contains linework of neotectonic mapping from high-resolution lidar-derived topography and historical aerial images on Puerto Rico, and can be found summarized in Figures 2 and 23 of the related manuscript.

This table describes summary information for Quaternary active faults in Puerto Rico, including an estimated age of fault activity and categorical slip rate bins, and can be found in Table 4 of the related manuscript.

This data release contains spatial data associated with the sedimentation survey of Lago Guayabal conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center (CFWSC) of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field data collection involved measuring water depth along predetermined navigation lines. More than 270,000 water-depth points were surveyed along 60 navigation lines and All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS software, version 10.5 (Environmental Systems Research Institute, 2017), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated. This data release includes three spatial features used for the sedimentation analysis of Lago Guayabal in 2017 (water depth data points, reservoir shoreline and bathymetric contours).