The Railroad Bridges dataset was compiled on October 14, 2022 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). A railroad bridge is defined as “Railroad bridge means any structure with a deck, regardless of length, which supports one or more railroad tracks, or any other undergrade structure with an individual span length of 10 feet or more located at such a depth that it is affected by live loads.” based on the Code of Federal Regulations (49 CFR Part 237). The FRA does not have a mandate to inspect railroad bridges: these inspections are required by the owner of the track. The FRA will use this railroad bridge dataset to determine the number of bridges per railroad, state, etc. and will assist in determining priority field activities.

The National Bridge Inventory dataset is as of June 27, 2024 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data describes more than 615,000 of 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 inventory data present a complete picture of the location, description, classification, and general condition data for each bridge. The element data present a breakdown of the condition of each structural and bridge management element for each bridge on the National Highway System (NHS). The Recording and Coding Guide for the Structure Inventory and Appraisal of the Nation's Bridges contains a detailed description of each data element including coding instructions and attribute definitions. The Coding Guide is available at: https://doi.org/10.21949/1519105.

The National Highway Traffic Safety Administration (NHTSA) Regions dataset is as of July 14, 2023 from the National Highway Traffic Safety Administration (NHTSA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset depicts NHTSA's Regional Operations and Program Delivery Office regional boundaries. It identifies which states and territories are associated with each region. NHTSA's regions help States use data to identify their highway safety challenges, evaluate safety programs and activities, and provide technical assistance to State program managers to support the implementation of impactful behavioral highway safety programs.

The Railroad Grade Crossings dataset was updated on July 07, 2024 and was created on October 13, 2024 by the Federal Railroad Administration (FRA), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Railroad Grade Crossings is a spatial file that originates from the National Highway-Rail Crossing Inventory Program. The program is to provide information to the public, Federal, State, and Local governments, as well as the railroad industry for information and the improvements of safety at highway-rail crossings. Some railroad grade crossings were located outside the US or their respective states, and relocated to latitude longitude 0,0.

The North American Rail Network (NARN) Rail Nodes dataset was created in 2016 and was updated on October 16, 2024 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The NARN Rail Nodes dataset is a database of North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada. The dataset holds topology of the network and provides geographic location information.

The National Transit Map - Agencies dataset was compiled on September 09, 2024 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The National Transit Map (NTM) is a nationwide catalog of fixed-guideway and fixed-route transit service in America. It is compiled using General Transit Feed Specification (GTFS) Schedule data. The GTFS Schedule documentation is available at, https://gtfs.org/schedule/. The NTM Agencies dataset represents the physical addresses of participating transit agencies. Regarding data coverage and licenses, starting in Report Year 2023, the Federal Transit Administration (FTA) has required National Transit Database (NTD) Reporters to submit General Transit Feed Specification (GTFS) data. Reporters will submit GTFS during their reporting period, which is determined by their fiscal year end date. All GTFS data submitted to the NTD will enter the public domain. Prior to the GTFS requirement, transit agencies voluntarily participated in the NTM and granted the U.S. Department of Transportation (USDOT) a Creative Commons Attribution 3.0 United States (CC-BY-3.0) license. The CC-BY-3.0 license is available at, https://creativecommons.org/licenses/by/3.0/us/legalcode.

The North American Rail Network (NARN) Rail Lines dataset was created in 2016 and was updated on October 16, 2024 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The NARN Rail Lines dataset is a database that provides ownership, trackage rights, type, passenger, STRACNET, and geographic reference for North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada.

The Dams dataset is a representation of the National Inventory of Dams (NID), maintained and published by the U.S. Army Corps of Engineers, in cooperation with the Association of State Dam Safety Officials, the states, territories, and federal agencies. It is also part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Dams dataset (NID) includes all known dams of the United States and its territories, that meet the federal definition of a dam. Dams where downstream flooding would likely result in loss of human life (high hazard potential). Dams where downstream flooding would likely result in disruption of access to critical facilities, damage to public and private facilities, and require difficult mitigation efforts (significant hazard potential). Dams that meet minimum height and reservoir size requirements, even though they do not pose the same level of life or economic risk as those above - these low hazard potential dams equal or exceed 25 feet in height and exceed 15 acre-feet in storage, or equal or exceed 50 acre-feet storage and exceed 6 feet in height. The database contains more than 70 data fields for each dam. This includes the dam's location, size, purpose, type, last inspection, and regulatory facts. The information is updated periodically by the state and federal agencies, reflected by the "Data Last Updated Date". For more information on dams, visit the NID web site at https://nid.sec.usace.army.mil/#.

The Amtrak Stations dataset is as of September 23, 2024 from Amtrak and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset contains Amtrak intercity railroad passenger terminals in the United States.

The Navigation Facilities 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 data includes location (latitude, longitude, waterway, mile, and bank); operations (name, owner, operator, purpose, handling equipment, rates, and details of open-and-covered storage facilities); and type of construction (length of berthing space for vessels and/or barges, depth, deck elevation, and details of rail-and-highway access). Additional attributes included in the data are the unique navigation-unit identifier, official name, facility type, United Nations Location Code, a location description, stress address, city, state, zip code, county, congressional district, TOWS link location identifiers, port name, waterway name, mile, bank, and service-initiated dates. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529017