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Traffic data, public transit, aviation, shipping, ride-hailing, accident records
8,989 datasets
Ohio's 2023 primary and secondary road network is provided by the U.S. Census Bureau as a TIGER/Line Shapefile extract. This dataset includes roads classified as primary divided highways (MTFCC S1100) and secondary main arteries (MTFCC S1200). It is part of a seamless national geographic database designed to be used independently or combined for broader coverage.
U.S. Census Bureau's TIGER/Line shapefile provides geographic and cartographic data for Pennsylvania's road network. The dataset includes primary roads, which are limited-access highways like interstates, and secondary roads, which are main arteries like U.S. and State highways. Each road type is distinguished by a specific MAF/TIGER Feature Classification Code (MTFCC).
U.S. Census Bureau TIGER/Line shapefiles provide geographic and cartographic data for California's road network. The dataset includes primary roads, such as interstate highways, and secondary roads, including U.S. and State Highways. It is extracted from the national Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database.
2023 TIGER/Line shapefile extracts road geometry and attributes for the state of Nebraska. The dataset distinguishes between primary roads (MTFCC S1100) and secondary roads (MTFCC S1200) as defined by the U.S. Census Bureau. It provides a seamless, topologically correct representation of these road features.
TIGER/Line shapefiles from the U.S. Census Bureau provide a seamless, non-overlapping representation of the U.S. road network. This 2023 extract for Wisconsin contains geographic data for primary roads (MTFCC S1100) and secondary roads (MTFCC S1200), maintained by the Department of Commerce.
Amelia42-Mini provides air traffic position reports for 42 major U.S. airports, including KATL, KBDL, KBOS, KBWI, KCLE, KCLT, KDCA, and KDEN. The dataset was authored by AmeliaCMU and was last updated on the Hugging Face platform on August 3, 2025. The full description is available on the dataset page.
Florida's 2023 primary and secondary road network is provided by the U.S. Census Bureau as a standalone extract from its national MAF/TIGER Database. The dataset includes primary divided highways (MTFCC S1100) and secondary main arteries (MTFCC S1200) for the state. It is delivered as shapefiles and database files designed for geographic analysis.
A 2023 TIGER/Line shapefile from the U.S. Census Bureau containing the network of primary and secondary roads for North Carolina. The data includes MAF/TIGER Feature Classification Codes (MTFCC) to distinguish between primary (S1100) and secondary (S1200) road types, representing a seamless extract from the national Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database.
Georgia's 2023 road network includes primary and secondary roads extracted from the U.S. Census Bureau's MAF/TIGER Database. The dataset provides geographic and cartographic information for linear road features, distinguished by MAF/TIGER Feature Classification Codes (MTFCC). It is part of a seamless national file designed to stand alone or be combined for broader coverage.
South Dakota road network data from the U.S. Census Bureau's 2023 TIGER/Line database. It includes primary roads, which are divided, limited-access highways, and secondary roads, which are main arteries in the U.S., State, or County Highway systems. The dataset is part of a seamless national file designed to stand alone or be combined for broader coverage.
2023 TIGER/Line shapefile extracts road data for Puerto Rico, distinguishing between primary and secondary roads using MAF/TIGER Feature Classification Codes (MTFCC). The U.S. Census Bureau provides this data as part of its seamless national geographic database. It includes linear features, address ranges, and street centerlines for the state.
A 2023 TIGER/Line shapefile from the U.S. Census Bureau containing primary and secondary road features for the state of South Carolina. The data is extracted from the national Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database, which provides a seamless, non-overlapping geographic base. It includes roads classified by the MAF/TIGER Feature Classification Codes S1100 for primary roads and S1200 for secondary roads.
New Mexico's 2023 primary and secondary road network from the U.S. Census Bureau's TIGER/Line database. The dataset provides a seamless, topologically integrated extract of road features, including MAF/TIGER Feature Classification Codes (MTFCC) like S1100 for primary roads and S1200 for secondary roads. It is designed to stand alone for the state or be combined with other files for national coverage.
A 2023 extract of Illinois road centerlines from the U.S. Census Bureau's MAF/TIGER Database. It contains primary roads (MTFCC S1100) like interstate highways and secondary roads (MTFCC S1200) such as U.S. and State Highways. The shapefiles are designed to stand alone or combine for national coverage.
U.S. Census Bureau TIGER/Line shapefile for 2023 contains geographic data for primary and secondary roads in New York State. Primary roads are divided, limited-access highways like interstates, while secondary roads are main arteries such as U.S. or State Highways. The data is extracted from the national Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database.
2023 TIGER/Line shapefile extract from the U.S. Census Bureau details the primary and secondary road network for the state of New Jersey. It provides geographic and cartographic information for roads classified under MAF/TIGER Feature Classification Codes S1100 and S1200. The data is part of a seamless national file designed to be used independently or combined.
New York City Department of Transportation records detail the city's designated bicycle routes and facilities, including bicycle facility type and street information as line segments. The dataset includes current and historic network data managed by NYC DOT and partner agencies.
A dataset of 5,000 synthetic Japanese roleplay conversations formatted for OpenAI's messages API. The data was generated using the OpenRouter gpt-5-chat model by Aratako and last updated on August 19, 2025. It is a reformatted version of the original dataset 'Synthetic-Japanese-Roleplay-NSFW-gpt-5-chat-5k'.
MTA Central Business District Geofence provides a set of 2D polygon boundaries defining the Manhattan CBD for tolling purposes under the MTA Reform and Traffic Mobility Act. The dataset is published by data.ny.gov and was last updated in June 2025. It captures the area of Manhattan south of and including 60th Street, excluding major highways and tunnels.
Major Incidents are defined as those delaying 50 or more trains, causing significant customer disruption. The dataset covers incidents from 2020 through 2024 and is provided by the State of New York. It includes tags for Subway Line, Delay Category, Division, Day Type, and Month.