A compilation of ocean water quality (temperature, salinity, and dissolved oxygen) data at ¼ degree spatial resolution for the entire United States Exclusive Economic Zone. The dataset is derived from the ESRI Ecological Marine Unit (EMU) dataset, which was assembled from non-supervised statistical clustering of over 52 million points from NOAA’s World Ocean Atlas (2013) WoA database, an authoritative 57 year archive of global water column data. This derived dataset is divided into three separate point shapefiles, each representing either temperature (degrees Celsius), salinity (practical salinity units), or dissolved oxygen (mg/L). Values represent a climatological average. Each shapefile is formatted such that a single point location (i.e., unique associated latitude and longitude) contains a unique column entry for a given depth interval. Depth intervals are variable from 5 m near the surface to 100 m in the deeper regions (> 2000 m) for a total of 102 depth levels. All disclaimers provided by the original dataset authors apply to this derived dataset. For detail on these disclaimers, please refer to the following reference: Sayre, R., J. Dangermond, D. Wright, S. Breyer, K. Butler, K. Van Graafeiland, M.J. Costello, P. Harris, K. Goodin, M. Kavanaugh, N. Cressie, J. Guinotte, Z. Basher, P. Halpin, M. Monaco, P. Aniello, C. Frye, D. Stephens, P. Valentine, J. Smith, R. Smith, D.P. VanSistine, J. Cress, H. Warner, C. Brown, J. Steffenson, D. Cribbs, B. Van Esch, D. Hopkins, G. Noll, S. Kopp, and C. Convis. 2017. A New Map of Global Ecological Marine Units – An Environmental Stratification Approach. Washington, DC: American Association of Geographers. 36 pages.

This data set contains human-use resource data for anchorages, beach access points, boat ramps, diving locations, ferries, locks and dams, and marinas in Southwest Florida. Location specific type and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. This data set comprises a portion of the ESI data for Southwest Peninsular Florida. The entirety of the ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons; NAVIGATION-MARINE Points; POLITICAL-JURISDICTIONAL Polygons, Lines, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Lines, Points; and NATURAL HAZARD Polygons.

This data set contains vector lines representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for South Carolina. This data set comprises a portion of the ESI data for South Carolina. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the HYDROP data layer, part of the larger South Carolina ESI database, for additional ESI information.

The sub-aquatic vegitation map for was produced for the SAV Technical Working Group under a cooperative workplan with BP. The SAV map was derived from 0.3 meter resolution visible and near-infrared imagery collected by Aerometric. The imagery was segmented into homogeneous image objects following an object-based image analysis (OBIA) approach. The image objects were subsequently classified using Classification and Regression Tree (CART) statistical analysis. Manual edits based on air photo interpretation were performed to correct obvious errors and refine the map. A draft map was reviewed by USGS personnel and final edits made based on their comments. The polygons were dissolved based on the class assignments and a minimum mapping unit of 4 square meters was enforced.

The sub-aquatic vegitation map for was produced for the SAV Technical Working Group under a cooperative workplan with BP. The SAV map was derived from 0.3 meter resolution visible and near-infrared imagery collected by Aerometric. The imagery was segmented into homogeneous image objects following an object-based image analysis (OBIA) approach. The image objects were subsequently classified using Classification and Regression Tree (CART) statistical analysis. Manual edits based on air photo interpretation were performed to correct obvious errors and refine the map. A draft map was reviewed by USGS personnel and final edits made based on their comments. The polygons were dissolved based on the class assignments and a minimum mapping unit of 4 square meters was enforced.

This layer shows coastal channels and waterways that are maintained and surveyed by the U.S. Army Corps of Engineers (USACE). These channels are necessary transportation systems that serve economic and national security interests. The possibility of silting is always present. Local authorities should be consulted for the controlling depth. NOS Charts frequently show controlling depths in a table, which is kept current by the US Coast Guard Local Notice to Mariners.

This data set contains vector lines representing the ESI classified shoreline of South Carolina classified according to the Environmental Sensitivity Index (ESI) classification system. This data set comprises a portion of the ESI data for South Carolina. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the ESIP data layer, part of the larger South Carolina ESI database, for additional ESI information.

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. Information such as location, time, ship type, length, width, and draft have been extracted from the raw data and prepared as track lines for analyses in desktop GIS software.

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. Information such as location, time, ship type, length, width, and draft have been extracted from the raw data and prepared as track lines for analyses in desktop GIS software.

Principal Ports are the top 150 U.S. ports based upon total annual tonnage. Variation in annual tonnage at a port may result in exclusion or inclusion on the Principal Port list. The Principal Port data contain port code, port name, and values for total, domestic, foreign, import and export tonnage.