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Traffic data, public transit, aviation, shipping, ride-hailing, accident records
8,974 datasets
New York City Transit bus stops include point features for each route and direction within a bundle. The data contains stop usage flags and basic route descriptors for mapping and stop-level analyses.
King Abdulaziz Airport (KAIA) Flight Operations is a dataset published on Kaggle. The title suggests it contains information related to flight activities at King Abdulaziz Airport in Saudi Arabia. The specific content, scale, and origin of the data require verification after download.
Haramain High-Speed Railway (HHR) Trips Dataset is a dataset published on Kaggle. The title suggests it contains information about journeys on the high-speed railway connecting Mecca and Medina in Saudi Arabia. The dataset's specific columns, size, and origin are unknown from the provided metadata.
The Department of Transportation provides average domestic air fare data by quarter. The dataset is updated quarterly and includes information on air carriers and fare trends. It is sourced from the Aviation Facts Figures program.
Average domestic market air fare data compiled by the U.S. Department of Transportation. The dataset includes figures for individual air carriers, allowing for comparisons of airline-specific pricing. It was last updated in February 2026.
Tragedy echoes along this historic route, a dataset hosted on Kaggle. The title suggests it contains records of incidents or events associated with a specific historical transportation corridor. The dataset's specific content, scale, and origin require verification after download.
Adjacency grid defines spatial contiguity between New York City's official taxi zones using rook adjacency. The dataset includes connections across bridges and tunnels, modeling the physical transportation network. Author, organization, and creation date are unknown.
Daily arrivals and departures by airport. The dataset likely contains time-series data tracking passenger or flight movement at various airports. It is published on Kaggle.
Airport data for India, likely containing geographic coordinates and IATA codes. The dataset is published on Kaggle, but the author, organization, and specific collection details are unknown. The number of rows, file format, and last update date are also unspecified.
Techsalerator provides foot traffic and mobility data for Australia. The dataset captures human movement patterns across the region.
Foot traffic and mobility data for Brazil, compiled by Techsalerator. The dataset provides insights into population movement patterns across the country.
Foot traffic and mobility data for Canada provides insights into human movement patterns across the country. The dataset was created by Techsalerator, but the specific volume, time range, and collection method are not detailed.
Techsalerator provides a dataset on Foot Traffic & Mobility Data for China. The specific volume, temporal coverage, and collection methodology are not detailed in the provided information. Further details regarding the dataset's size, source, and update schedule are unavailable.
Foot traffic and mobility data for France, compiled by Techsalerator. The dataset provides insights into human movement patterns across various locations.
A dashboard project analyzing road accident data for the year 2021, built using Excel. The dataset was compiled for dashboard creation, though the original source and specific volume of records are unknown. The analysis focuses on accident patterns and trends from that single calendar year.
2021 road accident data was analyzed using an Excel dashboard. The dataset underpins a project focused on accident analysis for that specific year. The author and original data source are not specified.
Weekly earnings data compares driver income from Uber and Lyft platforms. The dataset's author, size, and temporal coverage are unknown. It was sourced from Kaggle, but its last update date is unspecified.
Weekly earnings data compares income from Uber and Lyft platforms for analysis. The dataset is sourced from Kaggle, but the specific author and temporal coverage are unknown.
2024 data updated in 2026 details rail yards across North America. The layer is derived from the North American Rail Network (NARN) Lines layer, aggregated by track type designated as yards. It provides geographic and attribute references for the railway system at a scale of 1:24,000 or better within the United States.
Updated in 2026, this dataset contains geographic node points for the North American railway system. It provides topology and location information at a scale of 1:24,000 or better, covering all 50 U.S. states, the District of Columbia, Mexico, and Canada.