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This dataset shows the minimum vertical clearance (in metres) of bridges over State Roads in NSW. This information is primarily for bridges on or over State Roads managed by Transport for NSW. With some exceptions, there is no information on structures on Regional or Local roads. Except for gazetted 4.6m clearance routes, a permit from Transport for NSW is required for any vehicle higher than 4.3m in height, to drive on State Roads. **Disclaimer** *The NSW State Roads Vertical Clearances dataset available on or from this website is intended as a general reference source and provided for information purposes only. Information, data and advice on this website is provided on the basis that site users are responsible for assessing the relevance and accuracy of its content. We make no representations, express or implied, as to the accuracy, currency or usefulness of the content of, or data available, on this site. Transport for NSW and the NSW Government accept no liability to any person for the information, data or advice (or the use of such information, data or advice) which is provided on this website or incorporated into it by reference.*

National Bridge InventoryThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the Bureau of Transportation Statistics (BTS), displays the National Bridge Inventory (NBI) of bridges in the United States and Puerto Rico. As stated by BTS, "the NBI is a collection of information describing the nation's bridges located on public roads, including interstate highways, U.S. highways, state and county roads, as well as publicly-accessible bridges on federal and tribal lands." The data presents a picture of the location, description, classification and general condition of each bridge.Mackinac BridgeData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (National Bridge Inventory) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: National Bridge Inventory - National Geospatial Data Asset (NGDA) BridgesGeoplatform: National Bridge Inventory - National Geospatial Data Asset (NGDA) BridgesOGC API Features Link: (National Bridge Inventory - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: National Bridge Inventory (NBI) and Recording and Coding GuideFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Theme CommunityThis data set is part of the NGDA Transportation Theme Community. Per the Federal Geospatial Data Committee (FGDC), Transportation is defined as the "means and aids for conveying persons and/or goods. The transportation system includes both physical and non-physical components related to all modes of travel that allow the movement of goods and people between locations".For other NGDA Content: Esri Federal Datasets

National Bridge InventoryThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the Bureau of Transportation Statistics (BTS), displays the National Bridge Inventory (NBI) of bridges in the United States and Puerto Rico. As stated by BTS, "the NBI is a collection of information describing the nation's bridges located on public roads, including interstate highways, U.S. highways, state and county roads, as well as publicly-accessible bridges on federal and tribal lands." The data presents a picture of the location, description, classification and general condition of each bridge.Mackinac BridgeData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (National Bridge Inventory) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: National Bridge Inventory - National Geospatial Data Asset (NGDA) BridgesGeoplatform: National Bridge Inventory - National Geospatial Data Asset (NGDA) BridgesOGC API Features Link: (National Bridge Inventory - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: National Bridge Inventory (NBI) and Recording and Coding GuideFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Theme CommunityThis data set is part of the NGDA Transportation Theme Community. Per the Federal Geospatial Data Committee (FGDC), Transportation is defined as the "means and aids for conveying persons and/or goods. The transportation system includes both physical and non-physical components related to all modes of travel that allow the movement of goods and people between locations".For other NGDA Content: Esri Federal Datasets

The Overwater Structures in Marine Waters of Washington State is made up of thousands of digitized overwater structures such as docks, bridges, floats, structural support fill, and other structures such as floating homes. Structures were digitized from three (3) foot/one (1) meter resolution color orthophotos taken between 2002 to 2006 by either the Washington State Department of Natural Resources (Washington DNR) or the United States Department of Agriculture National Agriculture Imagery Program (NAIP). The data layer is statewide and includes all marine areas classified as definitely or probably navigable by the Revised Code of Washington (RCW 90.56.010(15)), as well as a limited set of areas classified as possibly navigable. The datatable has been standardized so that overwater structures can be looked up based on structure type, structure size, waterbody name, township, county, or waterbody navigability. NOTE: While Washington DNR is willing to share the data with other entities, there are currently no plans to QA/QC the data or maintain it.To map and quantify the extent of overwater structures on and adjacent to state-owned aquatic lands as part of the take analysis for a proposed State-owned Aquatic Lands Habitat Conservation Plan (HCP).

This datasets contains Information about Tunnels and Bridges statistics for 2017-2019.Data is from General Authority of Statistics.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.

The objective of this dataset is to create a location where there is a comprehensive list of all technologies, best practices and lessons learned from the Office of International Programs as a whole.