These data represent the boundaries of the U.S. Integrated Ocean Observing System (IOOS) eleven regional associations (RAs). There are thousands of ocean observing tools in use every day-satellites in orbit, gliders, buoys, high-frequency radar, sharks with satellite tags, sensors on the ocean floor, and more operated by different organizations and researchers. IOOS, a national-regional partnership, gathers and integrates many of those data streams and makes those observations compatible and accessible by science, industry, government, and citizens. RAs design regional coastal observing systems to meet the unique needs of the regional environment and stakeholders. The eleven IOOS RAs maintain and operate regional coastal observing systems and develop information products for their users. The RAs provide increased observations, distinctive knowledge, and critical technological abilities, and apply these towards the development of products to meet regional and local needs

These data show the 17 national marine sanctuaries in the United States. The National Marine Sanctuaries Act (NMSA) authorizes the Secretary of Commerce to designate and protect areas of the marine environment with special national significance due to their conservation, recreational, ecological, historical, scientific, cultural, archeological, educational or esthetic qualities as national marine sanctuaries.

These data depict a wave energy resource characterization for the US Exclusive Economic Zone. This climatology is based on a multi-resolution 32 year hindcast that used the WaveWatchIII and Simulating WAve Nearshore (SWAN) wave models. A collection of five variables are reported at the annual and monthly intervals. Statistics for each variable are provided as point and hexagon features.

These data were automated to provide an accurate high-resolution historical shoreline of Ocean City, Maryland to Bethany Beach, DE suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

This data set is comprised of a hydro-flattened digital elevation model (DEM). The total area collected for Horry County, SC for this project is approximately 1092 square miles. Lidar data was collected and processed to meet the requirements of the project task order. The lidar collection was a collaborative effort between two data acquisition firms. While Woolpert was responsible for collection of the majority of the county, the coastal portion of the data was collected by Quantum Geospatial and is detailed in the processing steps of the metadata. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, four (4) foot pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Ground conditions: Water at normal levels; no unusual inundation; no snow. The bare earth DEMs along the coast may have a variance in the water heights due to temporal differences during the lidar data acquisition and will be represented in DEM as a seam-like anomaly. One coastal elevation was applied to entire project area. Due to differing acquisition dates and thus differing tide levels there will be areas in the DEM exhibiting what appears to be "digging" water features. Sometimes as much as approximately 2.5 feet. This was done to ensure that no coastal hydro feature was "floating" above ground surface. This coastal elevation will also affect connected river features wherein a sudden increase in flow will be observed in the DEM to accommodate the coastal elevation value. During Hydrologic breakline collection, Woolpert excluded obvious above-water piers or pier-like structures from the breakline placement. Some features extend beyond the apparent coastline and are constructed in a manner that can be considered an extension of the ground. These features were treated as ground during classification and subsequent hydrologic delineation. In all cases, professional practice was applied to delineate what appeared to be the coast based on data from multiple sources; Due to the many substructures and the complexity of the urban environment, interpolation and apparent "divots" (caused by tinning) may be evident in the surface of the bare earth DEM. In all cases, professional practice was applied to best represent the topography. The data received by the NOAA OCM are topographic data in LAS 1.2 format, classified as unclassified (1), ground (2), all noise (7), water (9), ignored ground (10), overlap unclassified (17), and overlap ground (18). Digital Elevation Models (DEMs) and breakline data are also available. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office of Coastal Management (OCM) or its partners. Original contact information: Contact Org: Woolpert Phone: (937) 461-5660

A shore-based station that provides identity, time synchronization, and text messages, which report (message 4) every ten seconds and are identified by a 00MIDxxxxx MMSI. These stations can also transmit AIS ATON Reports (message 21) and Application Specific Messages (ASM, message 6 and message 8) for meteorological or hydrological information, marine safety information, etc. (see the IALA Application Specific Message Collection). The Coast Guard Light List maintains a list of U.S. stations that also act as AIS ATONs or transmit ASMs. In the United States, these stations are solely operated by the U.S. Coast Guard (USCG) in the Nationwide Automatic Identification System, a nationwide network that supports all USCG missions and is designed to enhance the Coast Guards maritime domain awareness of vessels operating in or approaching the nations waterways, ports, and infrastructure. This network, which comprises 130-plus base stations and 150-plus USACE inland stations, collects over 120 million AIS messages daily and shares information with other government agencies, industry, academia, and coastal planners.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

NOAA's Coastal Ocean Reanalysis (CORA) couples long-term water level observations with hydrodynamic modeling to create historical information between tide stations to bridge gaps in service and more equitably serve the Nation's coastal communities. CORA water levels are simulated with ADvanced CIRCulation (ADCIRC) for ocean circulation modeling and coupled with a phase-averaging model called Simulating WAves Nearshore (SWAN) to produce surface gravity wave spectra and account for time-averaged wave contributions. Coastal water level observations from NOAA's Center for Operational Oceanographic Products and Services (CO-OPS) National Water Level Observation Network (NWLON) are low-pass filtered and assimilated into the model to account for long-term sea level variability and to reduce model errors, and validate results. The domain of this reanalysis spans the Gulf of America, Atlantic (East), and Caribbean coastlines (or CORA-GEC). The reanalysis (1979-2022) was performed through the partnership of NOAA National Ocean Service (NOS) and University of North Carolina's (UNC) Institute of Marine Sciences and Renaissance Computing Institute (RENCI). This modeled dataset is meant to have secondary derived datasets including but not limited to daily maximums (daily maxes), monthly means, extremes and month high tide flooding predictions. In addition, the domain of the analysis will be expanded to the Pacific and the dataset to be included when it becomes available.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.