These data provide an accurate high-resolution shoreline compiled from imagery of Intracoastal Waterway, Ono Island to Destin, AL-FL . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. 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.

This data set was used to explore advanced technologies using Fourier transform near infrared (FT-NIR) spectroscopy coupled with machine learning to estimate fish age more rapidly and with greater efficiency than traditional approaches.The data set integrates two key data modalities that are related to fish ages: the entire range of wavenumbers of FT-NIR spectra and corresponding biological and geospatial data for a total of 2613 northern rockfish (Sebastes polyspinis) specimens.

The U.S. National Marine Fisheries Service (NMFS) is required to prepare an annual Stock Assessment Report (SAR) for each marine mammal stock to update abundance, stock structure, maximum net productivity, human-caused mortality, potential biological removal (PBR), and status. In the summer of 2003, the Southeast Fisheries Science Center (SEFSC) conducted a marine mammal survey in the northern Gulf of Mexico (GMx). Operations occurred in the waters from 200 m deep seaward to the Exclusive Economic Zone (EEZ) from Brownsville, Texas east into the Straits of Florida.

These data were collected by Dewberry using a CZMIL Super Nova system. The data were acquired from 20221027 through 20221129. The data include topobathy data in LAS 1.4 format classified as unclassified (1); ground (2); low noise (7); high noise (18); bathymetric bottom (40); water surface (41); derived water surface (42); and submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43) in accordance with project specifications.

These data were collected by Dewberry using a CZMIL Super Nova system. The data were acquired from 20221027 through 20221129. The data include topobathy data in LAS 1.4 format classified as unclassified (1); ground (2); low noise (7); high noise (18); bathymetric bottom (40); water surface (41); derived water surface (42); and submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43) in accordance with project specifications. The project consists of approximately 1,373 square miles of data along the shores of Big Bend and contains 220 5000 m x 5000 m DEM tiles.

These data were collected by Dewberry using a CZMIL Super Nova system. The data were acquired from 20221018 through 20221203. The data include topobathy data in LAS 1.4 format classified as unclassified (1); ground (2); low noise (7); high noise (18); bathymetric bottom (40); water surface (41); and derived water surface (42) in accordance with project specifications. The project consists of approximately 1,373 square miles of data along the shores of Big Bend and contains 17,639 500 m x 500 m lidar tiles. This South Block dataset contains 9,585 500 m x 500 m tiles.

These data were collected by Dewberry using a CZMIL Super Nova system. The data were acquired from 20221018 through 20221203. The data include topobathy data in LAS 1.4 format classified as unclassified (1); ground (2); low noise (7); high noise (18); bathymetric bottom (40); water surface (41); and derived water surface (42) in accordance with project specifications. The project consists of approximately 1,373 square miles of data along the shores of Big Bend and contains 220 5000 m x 5000 m DEM tiles. This South Block dataset contains 118 5,000 m x 5,000 m tiles.

Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal planning purposes. NOAA and BOEM have worked jointly to re-task and make available some of the most important records from the U.S. Coast Guard's national network of AIS receivers. This dataset represents annual vessel transit counts summarized at a 100 m by 100 m geographic area.

Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal management purposes. NOAA and BOEM have worked jointly to make available these data from the U.S. Coast Guards national network of AIS receivers.

These files contain the spatial boundaries of the NOAA Fisheries Bottom-trawl surveys. This data set covers 8 regions of the United States: Northeast, Southeast, Gulf of Mexico, West Coast, Bering Sea, Aleutian Islands, Gulf of Alaska, and Hawai'i Islands.