Contains physical information on commercial facilities at the principal U.S. Coastal, Great Lakes and Inland Ports. The data consists of listings of port area's waterfront facilities, including information on berthing, cranes, transit sheds, grain elevators, marine repair plants, fleeting areas, and docking and storage facilities. Collection of data is performed on a rotational basis to ensure on-site accuracy at each facility.

© The National Waterway Network was created on behalf of the Research and Innovative Technology Administration's Bureau of Transportation Statistics, the U.S. Army Corps of Engineers, the U.S. Bureau of Census, and the U.S. Coast Guard by Vanderbilt University and Oak Ridge National Laboratory. Additional agencies with input into network development include Volpe National Transportation Systems Center, Maritime Administration, Military Traffic Management Command, Tennessee Valley Authority, U.S. Environmental Protection Agency, and the Federal Railroad Administration. This layer is sourced from maps.bts.dot.gov.

The Commercial Strategic Seaports dataset was compiled on October 04, 2021 from the U.S. Maritime Administration (MARAD) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The National Port Readiness Network (NPRN) consists of Strategic Commercial Seaports able to support force deployment during contingencies and other defense emergencies. Nine federal agencies and organizations, USDOT/Maritime Administration (MARAD), U.S. Army Corps of Engineers (USACE), Surface Deployment and Distribution Command (SDDC), U.S. Coast Guard (USCG), Military Sea-lift Command (MSC), U.S. Army Forces Command (USFORSCOM), Transportation Security Administration (TSA), U.S. Northern Command (USNORTHCOM), and U.S. Transportation Command (USTRANSCOM) are responsible for providing guidance to the NPRN program and for supporting the secure movement of military forces through U.S. ports. This dataset includes all 18 commercial ports that currently belong to the NPRN. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529080

USACE works with port authorities from across the United States to develop the statistical port boundaries through an iterative and collaborative process. Port boundary information is prepared by USACE to increase transparency on public waterborne commerce statistic reporting, as well as to modernize how the data type is stored, analyzed, and reported. A Port Area is defined by the limits set by overarching legislative enactments of state, county, or city governments, or the corporate limits of a municipality. A port typically refers to a geographical area that includes operational activities related to maritime transport as well as acquisition, operation, and management of port infrastructure and property, such as might be associated with ownership, concession, construction approval, or policy decision-making authority. A Port Statistical Area (PSA) is a region with formally justified shared economic interests and collective reliance on infrastructure related to waterborne movements of commodities that is formally recognized by legislative enactments of state, county, or city governments. PSAs generally contain groups of county legislation for the sole purpose of statistical reporting. Through GIS mapping, legislative boundaries, and stakeholder collaboration, PSAs often serve as the primary unit for aggregating and reporting commerce statistics for broader geographical areas. Per Engineering Regulation 1130-2-520, the U.S. Army Corps of Engineers' Navigation Data Center is responsible to collect, compile, publish, and disseminate waterborne commerce statistics. This task has subsequently been charged to the Waterborne Commerce Statistics Center to perform. Performance of this work is in accordance with the Rivers and Harbors Appropriation Act of 1922. Included in this work is the definition of a port area. A port area is defined in Engineering Pamphlet 1130-2-520 as: (1) Port limits defined by legislative enactments of state, county, or city governments. (2) The corporate limits of a municipality. The USACE enterprise-wide port and port statistical area feature classes per EP 1130-2-520 are organized in SDSFIE 4.0.2 format.

The NOAA Precision Marine Navigation (PMN) program will benefit many ports by integrating and distributing NOAA datasets in the international S-100 format which is machine-to-machine readable format and first pilot data are available for industry testing. Simultaneously, NOAA has been using the PMN program as a way to identify ports in need of updated or new data and coordinate efforts across NOAA offices and even other agencies when additional resources are available. NOAA is often asked "Which port will be the next PMN port?" This map contains information on the number of incidents (allisions, collisions, and groundings) in port waterways downloaded from the U.S. Coast Guard. This map displays the number of incidents at each port/port complex by ranking according to the recently completed NOAA Socioeconomic Study, and it also shows the incidents by type when zoomed in on a specific port. Viewers can explore the types of vessels and levels of damage incurred by each incident. Citation for incident data: USCG (U.S. Coast Guard). (2015). “Marine Information for Safety and Law Enforcement: Marine Casualty and Pollution Data for Researchers.” Retrieved December 31, 2019, from https://homeport.uscg.mil/Lists/Content/DispForm.aspx?ID=211&Source=/Lists/Content/DispForm.aspx ?ID=211

TxDOT's point layer of general seaport locations in the state of Texas. Locations are based off aerial imagery. Texas Gulf Coast ports handled more than 563 million tons of foreign and domestic cargo in 2015 — approximately 22 percent of all U.S. port tonnage. Texas ports generate $368.7 billion in economic activity in the state and $6.9 billion in state and local taxes per year, according to the Texas Ports Association. Seven Texas ports rank in the top 50 of all U.S. ports in terms of annual tonnage, according to the U.S. Army Corps of Engineers, including Houston (2nd), Beaumont (5th), Corpus Christi (6th) and Texas City (15th). The Port of Galveston ranked as the fourth-largest U.S. cruise market based on embarkation, with more than 834,000 passengers in 2015. The use of Texas waterways is forecast to continue to increase — fueled by the expansion of the Panama Canal, the surge in the state's population and more worldwide waterborne trade.Update Frequency: As NeededSource: Maritime Division (MRD) | Transportation Planning and Programming Division (TPP) | Data ManagementSecurity Level: PublicOwned by TxDOT: TrueRelated LinksData Dictionary PDF [Generated 2025/04/24]

This is a polygonal dataset representing the U.S. Coast Guard Captain of the Port Zones throughout the United States. This data was developed by USCG - OSC Enterprise GIS based on Title 33, Code of Federal Regulations Part 3.

This datasets provides a Port of Entry in any state by clicking on the map.

HSIP Non-Crossing Ports-of-Entry A Port of Entry is any designated place at which a CBP officer is authorized to accept entries of merchandise to collect duties, and to enforce the various provisions of the customs and navigation laws (19 CFR 101.1).

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF ALBANY, NY . 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 S...

The World Port Index (Pub 150) contains the location and physical characteristics of, and the facilities and services offered by major ports and terminals world-wide (approximately 4300 entries). Entries are organized geographically in a tabular format, in accordance with the diagrams located in the front of the publication. The World Port Index publication can be freely downloaded in its entirety as an Adobe PDF document, a Microsoft Access database, or as an ESRI Shape file at the NGA (National Geospatial Intelligence Agency, USA) portal: http://www.nga.mil/NGAPortal/MSI.portal?_nfpb=true&_pageLabel=msi_portal_page_62&pubCode=0015

These data provide an accurate high-resolution shoreline compiled from imagery of Port of Grays Harbor/Westport, WA . 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 Obj...

The Digital Geologic-GIS Map of the Port Tobacco Quadrangle, Maryland is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (poto_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (poto_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (poto_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (thst_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (thst_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (poto_geology_metadata_faq.pdf). Please read the thst_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Maryland Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (poto_geology_metadata.txt or poto_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Ports are locations where maritime vessels can load and unload cargo. More specifically, a port is a maritime facility comprising one or more wharves or loading areas, where ships load and discharge cargo and passengers. Ports are typically on sea or ocean coasts, but can be found inland on canals or rivers that grant access to oceans eventually.The National Waterway Network is a geographic database of navigable waterways in and around the United States, for analytical studies of waterway performance, for compiling commodity flow statistics, and for mapping purposes.The Navigable Waterway Network Nodes dataset is periodically updated by the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The National Waterway Network (Nodes) is a comprehensive network database of the nation's navigable waterways.

The National Waterway Network is a comprehensive network database of the nation's navigable waterways. The data set covers the 48 contiguous states plus the District of Columbia, Hawaii, Alaska, Puerto Rico and water links between. The nominal scale of the dataset varies with the source material. The majority of the information is at 1:100,000 with larger scales used in harbor/bay/port areas and smaller scales used in open waters.

© The National Waterway Network was created on behalf of the Bureau of Transportation Statistics, the U.S. Army Corps of Engineers, the U.S. Bureau of Census, and the U.S. Coast Guard by Vanderbilt University and Oak Ridge National Laboratory. Additional agencies with input into network development include Volpe National Transportation Systems Center, Maritime Administration, Military Traffic Management Command, Tennessee Valley Authority, U.S.Environmental Protection Agency, and the Federal Railroad Administration. This layer is sourced from maps.bts.dot.gov.

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF GALVESTON, TEXAS . 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 Attri...

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF BEAUMONT, TEXAS . 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 Attrib...

For full FGDC metadata record, please click here.These data have been created to represent areas that are environmentally and economically sensitive to oil and hazardous material spills. These data were originally created and assembled by the NOAA Scientific Support Coordinator for US Coast Guard District Seven in circa 1992-1993 in cooperation with local Area Committees in accordance with regulations set forth by the National Response Plan of the Oil Pollution Act of 1990. They were provided to FWC-FWRI (Florida Fish and Wildlife Conservation Commission - Fish and Wildlife Research Institute, (at that time known as the Florida Marine Research Institute) in the fall of 2003 as shapefiles (in geographic, decimal degrees, NAD 83 datum) and PDF maps for each of the US Coast Guard's Marine Safety Office Areas of Responsibility (Captain of the Port Zones for Miami (at that time consisting of both Sector Miami and Sector Key West), Tampa, Jacksonville, Savannah, Charleston, and Puerto Rico/US Virgin Islands). In the Fall & Winter of 2003, FWC-FWRI map-joined all of these shapefile data layers into a single contiguous layer, then converted the data into a Microsoft Access database for updating. In the Winter & Spring of 2003-2004 FWC-FWRI updated contact information and other attribute data to expand and improve upon the database so it could be used as a core business data layer for the Marine Resources Geographic Information System (MRGIS) library. Using various spatial coding functions, such as "assign data by location", additional attribute information has been added to the spatial database. Some examples are: The NOAA Nautical Chart the point can be found on, the USGS Quad the point can be found on, the Environmental Sensitivity Index map the point can be found on, the Latitude & Longitude in two data formats (Decimal Degrees and Degrees, Minutes, Seconds (with special characters for each unit), and others. These data were maintained as a part of the MRGIS Library and used with report generating software to update the information as needed for the creation of new printed "Oil Spill Sensitive Site" record documents for spill contingency planning and response purposes. In March of 2007, FWC-FWRI partnered with USCG Sector Mobile (part of USCG District 8) to catalog the oil spill sensitive areas within the Sector Mobile boundary, which includes the Panhandle of Florida, coastal Alabama, and coastal Mississippi. Work had previously been performed in a workshop environment to identify and catalog these areas, but NOT in a spatial manner. FWRI began this work by systematically geocoding the previously identified locations and entering the attribute information that was available into the same database structure that was in place for USCG District 7 (as mentioned above). The goal was to create a consistent dataset for the southeastern United States and Puerto Rico/US Virgin Islands. Once the basic geocoding was complete, a workshop was scheduled and key stakeholder agency representatives were invited to attend and review and augment this dataset for Sector Mobile. This workshop was at the end of March 2007 and working group members were recruited from the Area Committee and those key stakeholders recommended by the Area Committee. Through the years of 2008-2009, FWC-FWRI partnered with the US Coast Guard and Florida Department of Environmental Protection - Bureau of Emergency Response to conduct a series of workshops to review and update these detailed Geographic Response Plan (GRP) data and maps for revised Digital Area Contingency Plans. As with Sector Mobile, the GRP Revision workshop attendees were from or determined by the specific Area Committee of each Sector. Please see process steps for more information about the history of the data. The process of data entry is ongoing at FWRI as of July 2011. Data will be entered and undergo quality assurance/quality control processes before new data sheets and maps are re-produced for distribution and inclusion into Digital Area Contingency Plans and other GIS and/or map products. A versioned geodatabase has been created in SQL/SDE to track changes and manage data entry as well as digital QA/QC processes, such as consistency checks. A map service has also been created that is available to all the public and stakeholder community to view the latest version of this geodata. The map service displays data directly from the Enterprise versioned database. http://ocean.floridamarine.org/acpgrp/default.aspx These data are used in BOTH a spatial manner and in the traditional database manner. The spatial version is used to produce response maps and in a GIS (The Florida Marine Spill Analysis System and Digital Area Contingency Plans) to provide timely, accurate, and valuable information to responders and in the traditional database manner to populate reports used in producing area contingency plan maps and data sheets. Maps are produced (as PDF) with the sensitive area sites depicted on them, they are then "hyperlinked" in PDF to the data sheet that contains the attribute data for the site in a customized data report form. The report form contains information on key stakeholders for the area, wildlife resources to be protected, nearby staging areas, recommended protection strategies, the latitude/longitude of the site, and other response related information needed by first responders.

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF SOUTH LOUISIANA, LA . 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 At...

This data release, RI_WRpts.gdb, consists of information from Rhode Island Ground-water maps published by the Rhode Island Water Resources Coordinating Board, the Rhode Island Port and Industrial Development Commission, Rhode Island Industrial Commission, and the Rhode Island Development Council; in cooperation with the U.S. Geological Survey. The point data on these maps have been digitized into a standard ArcGIS geodatabase format. Data about wells and test borings consists of geographic location, identification number, geologic material (bedrock or unconsolidated), altitude in feet of the bedrock surface or altitude of the bottom of well, and data source. Seismic survey locations and bedrock outcrops where they are shown as points on the source maps are also included. The Ground-water maps, published between 1948 and 1964, also show geologic information which is being used to create a revised surficial materials database for future publication.

The Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included in its boundaries are the Cape Canaveral Air Force Station (CCAFS), NASA’s Kennedy Space Center (KSC), and a large portion of Canaveral National Seashore. The actual promontory of the modern cape falls within the jurisdictional boundaries of the CCAFS. These various agencies have ongoing concerns related to erosion hazards and vulnerability of the system including critical infrastructure, habitats, and recreational and cultural resources. The USGS conducted a bathymetric mapping survey August 18-20, 2014, in the Atlantic Ocean offshore of Cape Canaveral, Florida (USGS Field Activity Number 2014-324-FA). The study area covered an area extending south from Port Canaveral, Florida, to the northern end of the KSC property and from the shoreline to about 2.5 km offshore. Bathymetric data were collected with single-beam sonar- and lidar-based systems. Two jet skis and a 17-ft outboard motor boat equipped with the USGS SANDS hydrographic system collected precision sonar data. The sonar operations were conducted in three missions, one on each day, with the boat and jet skis operating concurrently. The USGS airborne EAARL-B mapping system flown in a twin engine plane was used to collect lidar data. The lidar operations were conducted in three missions, one in the afternoon of August 19, 2015, and two more in the morning and afternoon of August 20, 2014. The missions were synchronized such that there was some temporal and spatial overlap between the sonar and lidar operations. Additional data were collected to evaluate the actual water clarity corresponding to lidar's ability to receive bathymetric returns. This dataset serves as an archive of processed single-beam and lidar bathymetry data collected at Cape Canaveral, Florida, in 2014 (in XYZ comma delimited, ASCII and shapefile format). Also included in this archive are Geographic Information System (GIS) data products: gridded map data (in ESRI binary and ASCII grid format), and a color-coded bathymetry map (in PDF format).