The Inland Electronic Navigational Charts (IENC) dataset is updated bi-monthly by the US Army Corps (USACE)/Army Geospatial Center (AGC), and part of U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). There is a partial delivery on the 1st and 15th business day of a month. If there is a need for a special chart delivery, occasionally there will be updates outside of the delivery cycle. The charts with data changes are released either as new editions or updates to existing IENCs on a regular delivery cycle. These IENCs were developed from available data used in maintenance of Navigation channels. These vector data, that make up the charts, can be downloaded as a geodatabase here: https://ienccloud.us/ienc/products/files/U37/ienc_master_dataset_gdb/USACE_IENC_Master_Service_gdb.zip. In addition, web mapping services of the feature classes/datasets can be found here: https://ienccloud.us/arcgis/rest/services/IENC_Feature_Classes. Users of these IENCs should be aware that some features and attribute information could have significant inaccuracies due to changing waterway conditions, inaccurate source data, or approximations introduced during chart compilation. Caution is urged in use of these IENCs or derived products for navigation planning or operation, or any decisions pertaining to or affecting safety of vessel operation. Only charts downloaded from the USACE chart server, https://ienccloud.us, and used in an Electronic Chart Display Information System (ECDIS) or Electronic Chart System (ECS), or official government chart books are suitable for navigation.

This feature class resides within the SOCECON Feature Data Set of the Lake Erie 2022 ESI Geodatabase. It contains vector points representing Navigational/marine human-use resource data for the Lake Erie System and adjacent lands and waters. The study area includes the United States portion of Lake Erie, covering the coastal portions of Ohio, Pennsylvania, and New York from the Michigan/Ohio border to the west to the New York/Canada border to the east. This data set contains information about the following resources: access points, anchorages, boat ramps, ferry terminals, lock and dams, marinas, and ports in Lake Erie. Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. This data set is a portion of the ESI data for the Lake Erie System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

This feature class resides within the SOCECON Feature Data Set of the Lake Ontario 2023 ESI Geodatabase. It contains vector points representing Navigational/Marine human-use resource data for the Lake Ontario System and adjacent lands and waters, specifically access locations, anchorages, boat ramps, lock and dam systems, and marinas for Lake Ontario. The study area includes the United States portion of Lake Ontario, covering the islands in New York: Association Island, Bass Island, Calf Island, Carl Island, Cherry Island, Eagle Island, Fox Island, Galloo Islands, Grenadier Island, Horse Island, Hoveys Island, Six Point Town, and Stony Island. Major Lake Ontario bays mapped include: Black River Bay, Blind Sodus Bay, Braddock Bay, Chaumont Bay, Guffin Bay, Irondequoit Bay, Henderson Bay, Little Sodus Bay, Mexico Bay, Port Bay, Sawyer Bay, and Sodus Bay. Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. This data set is a portion of the ESI data for the Lake Ontario System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

The Office of Coast Survey (OCS) has been involved in the development of a NOAA Electronic Navigational Chart (NOAA ENC) suite to support the marine transportation infrastructure and coastal management for a number of years. The NOAA ENC will support all types of marine navigation by providing the official database for electronic charting systems (ECS), including the Electronic Chart Display and Information System (ECDIS). NOAA ENCs support real-time navigation as well as collision and grounding avoidance needs of the mariner, and accommodate a real-time tide and current display capability that is essential for large vessel navigation. NOAA ENCs will also provide fully integrated vector base maps for use in geographic information systems (GIS) that are used for coastal management or other purposes. The NOAA ENCs are in the International Hydrographic Office (IHO) S-57 international exchange format and comply with the ENC Product Specification.

These feature classes reside within the SOCECON Feature Data Set of the Great Lakes - St. Clair / Detroit River System 2019 ESI geodatabase. They contain vector polygons, lines and points representing navigation/marine area resource data for the St. Clair / Detroit River System in southeastern Michigan. The study area includes a small portion of southern Lake Huron at its outlet, the St. Clair River (which flows out of Lake Huron), Lake St. Clair, the Detroit River (which flows into Lake Erie), a small portion of western Lake Erie, and adjacent lands and waters. These data sets contain information about the following resources: POLYLINES - ferry routes; POINTS- boat ramps, ferries, lock and dams, marinas, and ports; POLYGONS- access sites and anchorages. Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. This data set is a portion of the ESI data for the St. Clair / Detroit River System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

These data provide an accurate high-resolution shoreline compiled from imagery of LAKE ERIE, PORT CLINTON TO HURON, OH . 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. 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://www.fisheries.noaa.gov/inport/item/39808

These feature classes reside within the SOCECON Feature Data Set of the Lake Ontario 2023 ESI Geodatabase. They contain vector lines and points representing Socioeconomic human-use resource data for Lake Ontario and adjacent lands and waters. Vector lines in this data set represent major crude oil pipelines and vector points represent human-use or management resource data for airports, beaches, heliports, and historical sites for Lake Ontario. The study area includes the United States portion of Lake Ontario, covering the islands in New York: Association Island, Bass Island, Calf Island, Carl Island, Cherry Island, Eagle Island, Fox Island, Galloo Islands, Grenadier Island, Horse Island, Hoveys Island, Six Point Town, and Stony Island. Major Lake Ontario bays mapped include: Black River Bay, Blind Sodus Bay, Braddock Bay, Chaumont Bay, Guffin Bay, Irondequoit Bay, Henderson Bay, Little Sodus Bay, Mexico Bay, Port Bay, Sawyer Bay, and Sodus Bay. Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. This data set is a portion of the ESI data for the Lake Ontario System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

These data show the boundaries for select vessel routing measures in U.S. waters. These measures are part of an international ships routing system established by the IMO. Routing systems are systems of predetermined routes and related measures that are recommended for use by, and may be made mandatory for, all ships, certain categories of ships or ships carrying certain cargoes when adopted and implemented in accordance with the guidelines and criteria developed by the [IMO] and are designed to contribute to the safety of life at sea, safety and efficiency of navigation, and/or protection of the marine environment. SOLAS Chapter V, reg. 10, para. 1. For coastal and ocean planning. Not for navigation.

This data set contains vector polygons representing coastal habitats of Northwest Peninsula Florida, classified by their susceptibility to oiling. The Environmental Sensitivity Index (ESI) classification system, developed by NOAA, considers several natural and biological factors when ranking an intertidal range's sensitivity and persistence of oil impacts. This data set is a portion of the ESI data for Florida. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the ESIL (ESI Shoreline Lines) data layer for additional information about shorelines and intertidal habitats.

These feature classes reside within the BIOLOGY Feature Data Set of the Lake Ontario 2023 ESI Geodatabase. It contains vector polygons and points representing FISH data for Lake Ontario. The study area includes the United States portion of Lake Ontario, covering the islands in New York: Association Island, Bass Island, Calf Island, Carl Island, Cherry Island, Eagle Island, Fox Island, Galloo Islands, Grenadier Island, Horse Island, Hoveys Island, Six Point Town, and Stony Island. Major Lake Ontario bays mapped include: Black River Bay, Blind Sodus Bay, Braddock Bay, Chaumont Bay, Guffin Bay, Irondequoit Bay, Henderson Bay, Little Sodus Bay, Mexico Bay, Port Bay, Sawyer Bay, and Sodus Bay. These data sets contain sensitive biological resource data for freshwater fish species in Lake Ontario. Vector polygons in this data set represent fish distribution, concentration areas, and spawning areas. Vector points in this data set represent fish spawning areas. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for Lake Ontario. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.