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Traffic data, public transit, aviation, shipping, ride-hailing, accident records
8,984 datasets
A structured framework outlines a seven-step process for managing organizational change, covering dynamics, human factors, and agent roles. The content appears to be a textual guide or paper sourced from the paperswithcode platform. Its specific origin, size, and creation date are not detailed in the provided metadata.
A dataset of tweets related to airlines, sourced from the social media platform Twitter. It was published on Kaggle, but the specific number of tweets, collection timeframe, and author are unknown. The content likely contains user opinions and feedback directed at airline companies.
Traffic accident records for the municipality of Calarca, Colombia. The dataset describes accident counts and includes details on severity and timing. Data was published by datos.gov.co and covers the period from March 2017 to December 2022.
Test_dataAirline is a dataset hosted on Kaggle, likely containing information related to airline operations or passenger services. Its specific contents, such as flight details, passenger records, or operational metrics, must be verified after download. The dataset's author, size, and update history are currently unknown.
Telemetry data extracted from SpaceX Starship test flights using computer vision techniques. The dataset contains information from the IFT-1 to IFT-8 missions, focusing on flight performance metrics.
Accident_Prediction_Dataset_Pipeline is a tabular dataset from OpenML focused on road safety and transportation risk. It is intended for building machine learning pipelines to predict accident occurrences, though specific row counts and column details are not provided. The dataset's author, organization, and temporal coverage are currently unknown.
OpenML dataset for predicting road accidents, tagged for machine learning pipeline development. The dataset originates from the OpenML platform and is associated with transportation risk and road safety topics. Specific details on volume, creator, and recency are not provided.
OpenML hosts this tabular dataset for predicting traffic accidents, as indicated by its platform tags. The dataset's creator, size, and specific temporal coverage are not documented. It is categorized under risk modeling and traffic incident analysis.
An OpenML-hosted dataset designed for predicting accident occurrences. The dataset's creator, temporal coverage, and specific data volume are not specified in the provided metadata. It is intended for developing and evaluating machine learning models related to transportation risk.
Accidents_Prediction_Dataset is a tabular dataset hosted on the OpenML platform. Its specific contents, size, and authorship are not detailed in the provided metadata. The dataset appears designed for modeling tasks related to predicting or analyzing accident occurrences.
Accident prediction data sourced from the OpenML platform. The dataset is intended for developing models to forecast accident occurrences or severity. Details on its size, creator, and temporal coverage are not specified in the available metadata.
An accident prediction dataset hosted on OpenML, designed for modeling and forecasting road traffic incidents. The dataset's specific volume, origin, and temporal coverage are not detailed in the provided metadata. Further investigation on the OpenML platform is required to confirm its creator and publication date.
Accidents_Prediction_Dataset is a tabular dataset hosted on the OpenML platform. Its specific contents, size, and authorship are not detailed in the provided metadata. The dataset appears designed for modeling tasks related to predicting or analyzing accident occurrences.
Behavior-urban-traffic data from the OpenML platform. The dataset's specific origin, size, and temporal scope are not detailed in the available metadata. Further investigation is required to determine the exact collection methodology and responsible author.
Large USDot Flight Data is a dataset hosted on Kaggle. The title suggests it contains information related to U.S. Department of Transportation flight operations, likely including details on flights, delays, or schedules. Specific details on volume, columns, and provenance are not provided in the available metadata.
A dataset concerning railway passenger activity, sourced from the Kaggle platform. The specific temporal coverage, geographic scope, and data collection methodology are not detailed in the available metadata. Further verification after download is required to confirm the exact contents and structure.
7 columns detail traffic incidents in the municipality of Candelaria, Valle del Cauca. The dataset is published by www.datos.gov.co and was last updated in December 2025.
December 2023 inventory of WMATA regional bus stops, now archived following the June 2025 launch of the new bus network. The dataset includes bus stop identification, location, and inventory information previously used to feed various transit systems. It represents the final state of the bus network before a major overhaul.
Georeferenced records of traffic accidents in the municipality of Bucaramanga. The dataset includes columns for accident type, year, month, day, vehicle type, and severity. It is hosted by www.datos.gov.co and was last updated on 2025-12-19.
Bureau of Transportation Statistics flight records for 2024 provide raw operational data for the U.S. aviation sector. The dataset's specific variables and scale are not detailed in the provided metadata. It is hosted on Kaggle and categorized for regression and binary classification tasks.