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Traffic data, public transit, aviation, shipping, ride-hailing, accident records
8,988 datasets
Merged and cleaned New York City Yellow Taxi trip data spanning from 2009 to 2025. The dataset is intended for reliable exploratory data analysis and time series analysis. It originates from the Kaggle platform.
NHTSA FARS data documents fatal traffic events across the United States from 2011 through 2022. The dataset provides a standardized national census of fatal motor vehicle crashes. Its structure supports detailed analysis of accident factors and outcomes.
NYC FHV (Uber/Lyft) Trip Data Simple contains a simplified version of every For-Hire Vehicle trip record in New York City. The dataset covers trips from 2015 through 2022. The original data source and specific author are unknown.
84,828 airports, heliports, and airfields are listed in this dataset. The data includes coordinates and covers locations across 246 countries. It originates from the OurAirports project and is hosted on Kaggle.
40 million New York City taxi trips from 2024, integrated with NOAA weather data in a star schema gold layer. The dataset is hosted on Kaggle, though specific authorship and licensing details are not provided. It likely contains trip records and weather observations for the specified year.
Airline customer data published on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further verification after download is required to confirm its scope and structure.
Locations of all traffic enforcement cameras in the Australian Capital Territory, including decommissioned sites. The dataset includes fixed speed, red light, point-to-point, and mobile speed camera types. It is provided by www.data.act.gov.au and was last updated on 2025-12-01.
Pedal Me Bicycle Deliveries data originates from a London-based cargo bike delivery service. The dataset, hosted on the UCI Machine Learning Repository, contains records of delivery operations. Specific details on record count, time period, and data collection method are not provided.
Traffic flow forecasting data from the UCI Machine Learning Repository. The dataset is categorized under Transportation, Traffic Flow, Forecasting, and Time Series tags by the platform. The specific origin, size, and temporal coverage are not detailed in the provided metadata.
Traffic flow forecasting data is hosted by the University of California, Irvine Machine Learning Repository. The dataset is intended for developing and testing predictive models for traffic conditions. Specific details on volume, time range, and collection method are not provided in the available metadata.
Seoul Bike Sharing Demand dataset contains historical records of public bicycle usage in Seoul, South Korea. The dataset includes hourly rental counts and associated weather and seasonal information. It originates from the UCI Machine Learning Repository.
UrbanGB contains coordinates for urban road accidents, with each accident location labeled by its corresponding urban center. The dataset originates from the UCI Machine Learning Repository and is tagged for traffic accidents and urban planning. Specific details on the number of records, time period, and original author are not provided.
Pedestrians in Traffic is a dataset from the UCI Machine Learning Repository. It contains observations of pedestrian presence and behavior within traffic environments. The specific collection method, volume, and temporal details are not provided in the available metadata.
Metro Interstate Traffic Volume data from the UCI Machine Learning Repository. The dataset includes traffic volume measurements, weather conditions, and holiday indicators for an interstate highway. It is a tabular time-series collection used for traffic analysis and forecasting.
Parking Birmingham contains time-series data on parking space availability in the city of Birmingham. The dataset originates from the UCI Machine Learning Repository and is categorized under Smart City and Urban Mobility topics. Specific details on the number of records, time range, and collection method are not provided in the available metadata.
Sensor data from smartphones worn by 30 participants performing activities like walking, sitting, and standing. The dataset was created by researchers for machine learning benchmarks and is hosted by the UCI Machine Learning Repository. The original collection date is unspecified.
Data on traffic accidents in the Caldas department of Colombia, likely covering incidents up to 2024. The dataset includes columns such as DIA DE LA SEMANA (day of week), DIRECCION (address), GRAVEDAD (severity), FECHA (date), and CLASE (class). It is published on the Socrata platform via datos.gov.co and was last updated on 2025-12-19.
996 impact-verified traffic incidents paired with speed data from 325 sensor nodes in the PEMS-BAY network. The dataset is hosted on Kaggle and is tagged for applications in Graph Neural Networks and Time Series Analysis. Its author, organization, and last update date are unspecified.
Records detail traffic accident fatalities in Neiva, Huila, Colombia, from 2012 to March 2022. The dataset includes victim demographics, vehicle types, and accident circumstances. It is published by the Colombian open data portal www.datos.gov.co.
Encompassing original, extrapolated, interpolated, and imputed price data for various commodities purchased in Asia and sold in Amsterdam by the Dutch East India Company (VOC). It covers the period from 1608 to 1800, providing a long-term view of trade economics.