Data

Lidar-derived bare-earth topography Digital Elevation Model (DEM) mosaic and classified point-cloud datasets were produced from remotely sensed, geographically referenced elevation measurements collected post-Hurricane Irene on August 30, 2011 for Long Island, New York, using a Leica ALS50-II.

Understanding the processes that govern whether a coral reef is accreting (growing) or dissolving are fundamental to questions of reef health and resiliency. The Reefscape Characterization task of the Coral Reef Ecosystem Studies (CREST) project is focused on geochemical, geologic, and metabolic processes that affect carbonate precipitation and dissolution on coral reefs. For the 1-km x 1-km study

The National Assessment of Coastal Change Hazards project derives features of beach morphology from lidar elevation data for the purpose of understanding and predicting storm impacts to our nation's coastlines. This dataset defines mean beach slopes along the United States Northeast Atlantic Ocean for New Jersey for data collected at various times between 2007 and 2014. For further information reg

These Digital Elevation Model (DEM) and XYZ datasets provide lidar-derived bare-earth topography for Fire Island, New York. Elevation measurements were acquired on October 25 and November 8, 2002 by the first-generation Experimental Advanced Airborne Research Lidar (EAARL) in cooperation with the National Park Service (NPS) and the National Aeronautics and Space Administration (NASA). The authors

Massive corals are used as environmental recorders throughout the tropics and subtropics to study environmental variability during time periods preceding ocean-observing instrumentation. However, careful testing of paleoproxies is necessary to validate the environmental-proxy record throughout a range of conditions experienced by the recording organisms. As part of the USGS Coral Reef Ecosystems S

The distribution of benthic habitats for a 1-km x 1-km area around Crocker Reef in the Florida Key is based upon underwater digital images of the seafloor collected June 24-25, 2014. The imagery was collected using the USGS shallow Along-Track Reef-Imaging System (sATRIS), a boat-based, pole-mounted sensor package for mapping shallow-water benthic environments. The polygons contained in this shap

These datasets provide lidar-derived topography for a portion of the submerged environs of Crocker Reef, Florida. Elevation measurements were acquired on April 13 and 22, 2014 by the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B). The authors acknowledge Emily Klipp, Richard Mitchell, Karen Morgan, Chris Pali, Virgil Rabine, Rudy Troche, and Wayne Wright for planning ef

New sub annual and mean annual Sr/Ca records from two species of massive coral, Orbicella faveolata (coral B3) and Siderastrea siderea (coral CG2), from the Dry Tortugas National Park, FL (DRTO). Both corals have well-constrained chronologies, with coral B3 ranging from 1893-2008 and coral CG2 ranging from 1837-2012. We combine these new records with published Sr/Ca data from three additional S. s

Underwater digital images, single-beam bathymetry, and global positioning system (GPS) data were collected June 24-25, 2014 within a 1-km x 1-km area around Crocker Reef in the Florida Keys, USA. A total of 91,206 images of the seafloor and water column were collected along pre-defined transect lines and organized into 3 sets: track1, track2, and track3. This data release contains a subset of thos

Cores from living coral colonies were collected from Dry Tortugas National Park, Florida, to obtain skeletal records of past coral growth and allow geochemical reconstruction of environmental variables during the corals' centuries-long lifespans. The samples were collected as part of the U.S. Geological Survey (USGS) Coral Reef Ecosystems Studies project that provides science to assist resource ma

The National Assessment of Coastal Change Hazards project derives features of beach morphology from lidar elevation data for the purpose of understanding and predicting storm impacts to our nation's coastlines. This dataset defines mean beach slopes along the United States Northeast Atlantic Ocean for Massachusetts for data collected at various times between 2000 and 2013. For further information

Historical shoreline surveys were conducted by the National Ocean Service (NOS), dating back to the early 1800s. The maps resulting from these surveys, often called t-sheets, provide a reference of historical shoreline position that can be compared to modern data to identify shoreline change. The t-sheets are stored at the National Archives and many have been scanned by the National Oceanic and At