AndreaBozzo/ceres-open-data-index huggingface dataset:
FMCSA Regions

The Federal Motor Carrier Safety Administration (FMCSA) Regions dataset is as of October 06, 2022 from the Federal Motor Carrier Safety Administration (FMCSA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset is displayed as polygons depicting the regions covered by the four FMCSA Service Centers. More information on the FMCSA Service Centers, and territories each covers, can be found at: https://www.fmcsa.dot.gov/mission/field-offices  A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529026

Tags: atlas, bus, cmv, database, federal grants, fmcsa, large truck, mcmis, motor carrier, national, national transportation atlas database, ntad, polygon, service center, transportation, usa, vector
Organization: Department of Transportation
North American Roads

The North American Roads dataset was compiled on October 27, 2020 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). On March 31, 2025, the errant records with a value of 2 in the "NHS" field were corrected to have a value of 7 (Other NHS). This dataset contains geospatial information regarding major roadways in North America. The data set covers the 48 contiguous United States plus the District of Columbia, Alaska, Hawaii, Canada and Mexico. The nominal scale of the data set is 1:100,000. The data within the North American Roads layer is a compilation of data from Natural Resources Canada, USDOTâs Federal Highway Administration, and the Mexican Transportation Institute. North American Roads is a digital single-line representation of major roads and highways for Canada, the United States, and Mexico with consistent definitions by road class, jurisdiction, lane counts, speed limits and surface type. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529071

Tags: american, atlas, canada, database, line, linear united states, mexico, national, national transportation atlas database, north, north america, north american, ntad, roads, states, transportation, united, usa, vector
Organization: Department of Transportation
Commercial Strategic Seaports

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

Tags: atlas, commercial, commercial strategic seaports, database, maritime, national, national port readiness network, national transportation atlas database, nprn, ntad, point, ports, seaports, strategic, transportation, usa, vector
Organization: Department of Transportation
Noise Data 2020

The dataset provides noise data to facilitate the tracking of trends in transportation-related noise. This dataset includes results from simplified noise modeling methods and should not be used to evaluate noise levels in individual locations. See the documentation for a full description of methodologies and assumptions: https://doi.org/10.21949/1519111

The 2020 National Transportation Noise Map dataset utilized transportation mode input data from 2020 in a model and is current as of October 2022, published by 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). Please see the website https://www.bts.gov/geospatial/national-transportation-noise-map, for downloads and more information about these datasets. For web services of these data, please navigate to https://geo.dot.gov/server/rest/services/Hosted and search for service names beginning with "Noise."

Data within the National Transportation Noise Map represent potential noise levels across the nation for an average annual day for the specified year. These data are intended to facilitate the tracking of trends in transportation-related noise by mode collectively over time and should not be used to evaluate noise levels in individual locations and/or at specific times. This dataset is developed using a 24-hr equivalent A-weighted sound level (denoted by LAeq) noise metric. The results represent the approximate average noise energy due to transportation noise sources over a 24-hour period at the receptor locations where noise is computed. Layers include Aviation, Freight and Passenger Rail, and Road Noise for the Lower 48 States as well as Alaska and Hawaii. The full listing can be found below.

2020 National Transportation Noise

Alaska
Alaska Aviation Noise
Alaska Freight and Passenger Rail Noise
Alaska Freight and Passenger Rail, Road, and Aviation Noise
Alaska Road and Aviation Noise
Alaska Road Noise
Lower 48 States (CONUS)
Lower 48 States (CONUS) Aviation Noise
Lower 48 States (CONUS) Freight and Passenger Rail Noise
Lower 48 States (CONUS) Freight and Passenger Rail, Road, and Aviation Noise
Lower 48 States (CONUS) Road and Aviation Noise
Lower 48 States (CONUS) Road Noise
Hawaii
Hawaii Aviation Noise
Hawaii Road and Aviation Noise
Hawaii Road Noise

Tags: 2020, acoustic, ak, alaska, algorithm, analysis, atlas, aviation, bts, conus, database, energy, energy and environment, environment, freight and passenger rail, freight rail, grid, hawaii, hi, highway, highways, mosiac, national, national transportation atlas database, network, noise, ntad, passenger and freight rail, passenger rail, rail, raster, road, sound, sound algorithm, transportation, usa
Organization: Department of Transportation
NHTSA Regions

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. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529349

Tags: atlas, database, formula, grants, highway safety, national, national highway traffic safety administration, national transportation atlas database, nhtsa, ntad, polygon, regions, transportation, usa, vector
Organization: Department of Transportation
Spaceports

The Spaceports dataset was compiled on August 08, 2023 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). This layer is meant to be a reference layer and features public and private spaceport facilities in the United States. The information found on FAAâs Office of Spaceports was used in creating this layer by the Bureau of Transportation Statistics (BTS), found here https://www.faa.gov/space/office_spaceports. These facilities support the launching and receiving of spacecraft into and from space. As a result, U.S. spaceports have a critical role in the growing global commercial space transportation industry. The FAA Office of Spaceports is responsible for development of policies that promote infrastructure improvements and strengthen the competitiveness of U.S. spaceports, supporting launch and reentry site licensing activities, providing technical assistance and guidance to existing and proposed new spaceports, and the domestic and global promotion of U.S. spaceports. The mission of the FAAâs Office of Spaceports is to enable the safest, most efficient network of launch and reentry spaceports in the world, along with a vision to advance a robust, innovative national system of spaceports supporting the U.S. as a global leader in the commercial space transportation industry. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529779

Tags: atlas, aviation, database, faa, launch site, nasa, national, national transportation atlas database, ntad, reentry site, rockets, space, space force, spaceports, transportation, usa, ussf, vector
Organization: Department of Transportation
Fatality Analysis Reporting System (FARS) 2023 - Accidents

The Fatality Analysis Reporting System (FARS) 2023 Initial Release - Fatal Motor Vehicle Accidents dataset was compiled from January 1, 2023 to December 31, 2023 by 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 geospatial dataset is the accident file from the initial release of FARS 2023 data. This data file contains information about crash characteristics and environmental conditions at the time of the crash. There is one record per crash. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529018

Tags: 2021, accidents, analysis, atlas, database, fars, fatalities, fatality, motor vehicle crash, national, national transportation atlas database, nhtsa, ntad, point, reporting, roads, system, traffic, transportation, usa, vector
Organization: Department of Transportation
GLS Offices

The Great Lakes St Lawrence Seaway Development Corporation (GLS) Offices dataset was compiled January 25, 2023 from the Great Lakes St. Lawrence Seaway Development Corporation (GLS) Policy Headquarters and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Great Lakes St Lawrence Seaway Development Corporationâs (GLS) Massena, New York Operations facility (GLS) supports vessel transits through the Snell and Eisenhower locks from the opening of the navigation season in mid-March through the December 31st closing each year. GLS Operations are also responsible for all necessary maintenance performed between January 1st and mid-March to ensure reliability to vessel traffic during each St Lawrence Seaway season.  A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529303

Tags: atlas, database, gls, great lakes, great lakes seaway, locks, marine, maritime, national, national transportation atlas database, ntad, point, seaway, st. lawrence, trade and economic development, trade development, transportation, usa, vector
Organization: Department of Transportation
Weigh-in-Motion (WIM) Stations

The Weigh-in-Motion (WIM) Stations dataset was updated on December 31, 2024 from the Federal Highway Administration (FHWA), with attribute data from the end of calendar year 2024 and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data included in this database is provided by the Federal Highway Administration (FHWA) for Weigh-in-Motion (WIM), and can be found via the FHWA Weight Station Map (https://doi.org/10.21949/7e9e-gw75). WIM is a primary technology used for monitoring vehicle weights and axle loads on roadways. Weighing vehicles in motion is done by capturing data as vehicles drive over sensors installed in a roadway or under a bridge. Aggregated summary statistics including annual truck (class 4-14) counts and weights (in tenth of a metric ton) are also included. Summary statistics were derived from WIM data for all sites in the US that are in the FHWA Travel Monitoring Analysis System (TMAS).Traffic loading data is collected for each vehicle that passes over a WIM sensor and includes wheel (single or dual tires) loads, axle loads, and gross vehicle weights (GVW). In addition, WIM sensors collect traffic volume, axle spacings, vehicle classification, and speed data. For more information and guides about WIM stations, please navigate to https://www.fhwa.dot.gov/policyinformation/knowledgecenter/wim_guide/. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/180Q-FC93

Tags: atlas, database, motion, national, national transportation atlas database, ntad, point, recorder, roads, stations, traffic, transportation, truck, usa, vector, weigh, weigh-in-motion, weight, wim
Organization: Department of Transportation
Intercity Bus Atlas Routes

The Intercity Bus Atlas - Routes dataset uses source data from April 08, 2025 and was created on April 08, 2025 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 Intercity Bus Atlas (ICBA) initiative collects, compiles, maps, publishes, and archives scheduled intercity bus service data provided by North American bus service providers. ICBA data--collected as periodic historic snapshots of available intercity bus services--is intended for federal, state, local, and tribal transportation decision makers, metropolitan planning organizations, transportation-related associations, private sector actors (including the freight community), and the public to better understand the density, frequency, accessibility, and reachability provided by the intercity bus industry's services. The stop, route, and schedule data provided by the ICBA reveal the local, interregional, and international connectivity, service densities, frequencies, and travel patterns enabled by the intercity bus component of the United States' myriad transportation facilities and services as well as how these services co-exist with other modes of passenger travel. The underlying source data of the ICBA are supplied by participating North American bus service providers, who publish their schedule information compliant the General Transit Feed Specification (GTFS). This GTFS standard allows intercity bus providers to publish operational information on their stops, routes, trips, schedules, fares, and transfers in a way that is maximally interoperable with applications that consume, process, and visualize the data for riders and others interested in learning more about their services. The ICBA, however, relies only on data provided via GTFS' schedule component; while there is a second GTFS component for real-time bus location data, it is not currently utilized or required for the ICBA. More information on GTFS is available at https://gtfs.org/schedule/. In turn, the Bureau of Transportations Statistics collects GTFS schedule data from provider websites and compiles them into a single geospatially enabled database. As of December 2023, this database contains two feature layers, each representing a different component of providers networks: stops and routes. The ICBA Routes dataset shows the alignment of each intercity bus route (i.e., a group of trips displayed to riders as a single service) along the national road network; it combines information from the GTFS "routes.txt", "trips.txt", and "shapes.txt" files. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529305

Tags: accessibility, atlas, bus, connectivity, database, fixed route, frequency, icba, intercity bus, intercity bus atlas, line, linear united states, map, national, national transportation atlas database, ntad, passenger movement, passenger travel, states, transportation, transportation infrastructure, united, usa, vector
Organization: Department of Transportation
ACT Admission to Discharge Outcomes: 5 Year Window

This dataset contains the number of discharged ACT participants at admission to ACT and at discharge from ACT within a set of outcome indicators such as living situation, employment and risk behaviors.   The data are aggregated by New York State region, year of discharge (past 5 years), AOT status at admission, and by behavioral health diagnosis at admission.

Tags: assertive-community-treatment, mental-health
Organization: State of New York
Truck Stop Parking

The Truck Stop Parking dataset was compiled on April 09, 2019 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 truck parking data was collected as part of the Jason's Law Truck Parking Survey requirement of MAP-21 (PL 112-141) to provide a "national priority on addressing the shortage of long-term parking for commercial motor vehicles on the National Highway System to improve the safety of motorized and non-motorized users and for commercial motor vehicle operators."  Jason's Law required the USDOT to conduct a survey and comparative assessment in consultation with relevant State motor carrier representatives to: 1. Evaluate the capability of the State to provide adequate parking and rest facilities for commercial motor vehicles engaged in interstate transportation; 2. Assess the volume of commercial motor vehicle traffic in the State; and 3. Develop a system of metrics to measure the adequacy of commercial motor vehicle parking facilities in the State. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529087

Tags: atlas, commercial motor vehicle parking, database, national, national transportation atlas database, ntad, point, rest areas, roads, transportation, truck parking, trucks, usa, vector
Organization: Department of Transportation
National Highway Planning Network

The National Highway Planning Network (NHPN) dataset was compiled on May 01, 2014 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). This dataset is a comprehensive network database of the nation's major highway system. It consists of the nation's highways comprised of Rural Arterials, Urban Principal Arterials and all National Highway System routes. The data set covers the 48 contiguous States plus the District of Columbia, Alaska, Hawaii, and Puerto Rico. The nominal scale of the data set is 1:100,000 with a maximal positional error of 80 meters. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529044

Tags: atlas, database, highway, line, linear roads, national, national transportation atlas database, network, nhpn, ntad, planning, transportation, transportation infrastructure, usa, usdot, vector
Organization: Department of Transportation
Freight Analysis Framework (FAF5) Network Links

The Freight Analysis Framework (FAF5) - Network Links dataset was created from 2017 base year data and was published on April 11, 2022 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 FAF (Version 5) Network contains 487,384 link features. All link features are topologically connected to permit network pathbuilding and vehicle assignment using a variety of assignment algorithms. The FAF Link and the FAF Node datasets can be used together to create a network. The link features include all roads represented in prior FAF networks, and all roads in the National Highway System (NHS) and the National Highway Freight Network (NHFN) that are currently open to traffic. Other included links provide connections between intersecting routes, and to select intermodal facilities and all U.S. counties. The network consists of over 588,000 miles of equivalent road mileage. The dataset covers the 48 contiguous States plus the District of Columbia, Alaska, and Hawaii. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529027

Tags: analysis, atlas, database, faf, framework, freight, freight model network, highway, line, linear roads, national, national transportation atlas database, network, ntad, road, roadway, transportation, usa, vector
Organization: Department of Transportation
Highway Performance Monitoring System 2020

The Highway Performance Monitoring System (HPMS) 2020 dataset was compiled February 28, 2022 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). This file geodatabase download provides HPMS data for each state as an individual feature class. This dataset represents the highway system as of the 2020 calendar year. HPMS provides data that reflects the extent, use, condition, and performance of the public roads in the United States. It consists of the All Road Network of Linear Referenced Data (ARNOLD) geometry and the Section Data which is the attribution. ARNOLD and Sections are linked though linear referencing and are part of the HPMS data program. These data are analytical for the purpose of supporting transportation programs, funding and policy decisions at a national level. Operational applications such as navigation and routing may take advantage of HPMS with the understanding that it represents the average and not âreal-timeâ of the system. The Highway Performance Monitoring System Field Manual contains a detailed description of each data element including coding instructions and attribute definitions. The Field Manual is available at: https://doi.org/10.21949/1519108. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1519108

Tags: atlas, condition, database, highway, hpms, inventory, line, linear roads, monitoring, national, national transportation atlas database, ntad, performance, system, transportation, usa, vector
Organization: Department of Transportation