This map consists of long-term (100+ years) shoreline change rates for the lower 48 states of the United States and Hawaii. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.1, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change for the lower 48 states were calculated using a linear regression rate based on all available shoreline data. Long-term rates of shoreline change for Hawaii were calculated using a weighted linear regression rate based on all available shoreline data. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate long-term rates.

This dataset includes a reference baseline used by the Digital Shoreline Analysis System (DSAS) to calculate rate-of-change statistics. This baseline layer serves as the starting point for all transects cast by the DSAS application. The transects intersect each shoreline and establish measurement points used to calculate shoreline-change rates.

Published data layers and information from the U.S. Atlantic Coast, U.S. Gulf Coast, Caribbean region (Puerto Rico and Virgin Islands), and U.S. Pacific Coast from the usSEABED project of the U.S. Geological Survey, Coastal and Marine Geology Program (CMGP) and the University of Colorado.

In 1999, the USGS, in partnership with the South Carolina Sea Grant Consortium, began a study to investigate processes affecting shoreline change along the northern coast of South Carolina, focusing on the Grand Strand region. By defining the geologic framework and identifying the transport pathways and sinks of sediment, geoscientists are developing conceptual models of the present-day physical processes shaping the South Carolina coast.

This map consists of short-term (~50 years) shoreline change rates for the lower 48 states of the United States and Hawaii. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.1, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change for the lower 48 states were calculated using an end-point rate method based on shorelines from 1970 or 1978 and 2000 to provide an approximately 30-yr short-term rate. Short-term rates of shoreline change for Hawaii were calculated using a weighted linear regression rate based on all available shoreline data between 1950 and 2008. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

This dataset consists of transects intersect points used by the Digital Shoreline Analysis System (DSAS) to calculate rate-of-change statistics. Rate calculations were computed within a GIS using the DSAS, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate based on all available shoreline data. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate long-term rates.

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1997-2002. Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the 'Data Quality Information' section of this metadata report. Shoreline vectors derived from historic sources (first three time periods) represent the high water line at the time of the survey, whereas modern shorelines (final time period) represent the mean high water line.

Garrity, C.P., and Soller, D.R., in review, Geologic database of the Geologic Map of North America (v.1.0), adapted from Reed et al. (2005): U.S. Geological Survey Data Product, to be available on CDROM and WWW. [Source map is: Reed, J.C., Wheeler, J.O., and Tucholke, B.E., 2005, Geologic Map of North America, South Sheet, Geological Society of America Continent-Scale Map 001, scale 1:5000000, available at http://www.geosociety.org/bookstore/default.asp?oID=0&catID=12&pID=CSM001F]. Information on digital conversion of this map will, by late August, become available in technical paper by Garrity and Soller, at http://ngmdb.usgs.gov/Info/dmt/DMT07presentations.html. Preparation for OneGeology WMS by S.M. Richard (Arizona Geological Survey and U.S. Geological Survey), C.P. Garrity (USGS), D.C. Percy (Portland State University and U.S. Geological Survey), and D.R. Soller (USGS).

The goal of this project is to quantify, at the National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables coastal geomorphology, regional coastal slope, tidal range, wave height, historical rates of relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables furnishes a broad overview of regions where physical changes are likely to occur due to sea-level rise.

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This regional aggregated dataset contains all unrestricted EMODnet Chemistry data on contaminants; temperature, salinity and additional sampling parameters are included when available. The spatial coverage is the Arctic Ocean with 780 CDI records divided per matrices: 249 water profiles and 531 sediment profiles. For water, vertical profiles temporal range is from 1974-03-25 to 2011-08-24. For sediment, vertical profiles temporal range is from 1974-08-07 to 2017-10-26. Data were aggregated and quality controlled by ‘Institute of Marine Research - Norwegian Marine Data Centre (NMD)’ from Norway. Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: https://vocab.seadatanet.org/p01-facet-search. Each measurement value has a quality flag indicator. The resulting data collections for each Sea Basin are harmonised, and the collections are quality controlled by EMODnet Chemistry Regional Leaders using ODV Software and following a common methodology for all Sea Regions. Harmonisation means that: (1) unit conversion is carried out to express contaminant concentrations with a limited set of measurement units (according to EU directives 2013/39/UE; Comm. Dec. EU 2017/848) and (2) merging of variables described by different “local names” ,but corresponding exactly to the same concepts in BODC P01 vocabulary. Detailed documentation is available at: https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4 Explore and extract data at: https://emodnet-chemistry.webodv.awi.de/contaminants%3EArctic The harmonised dataset can also be downloaded as ODV spreadsheet (TXT file), which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ). The same dataset is offered also as TXT file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms in subcomponents (measure, substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications users (e.g. LibreOffice Calc). The original datasets can be searched and downloaded from EMODnet Chemistry Chemistry CDI Data and Discovery Access Service: https://emodnet-chemistry.maris.nl/search