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Traffic data, public transit, aviation, shipping, ride-hailing, accident records
8,934 datasets
Parking Tiers data maintained by the Seattle Department of Transportation, updated daily. The dataset includes spatial features for transportation planning and is available in multiple formats including CSV, JSON, and GeoPackage.
Kaggle hosts a dataset titled 'traffic'. The dataset's specific content, size, and origin are not detailed in the available metadata. Users must download the data to verify its structure and potential applications.
New York City Department of Transportation (NYC DOT) uses Automated Traffic Recorders (ATR) to collect traffic sample volume counts at bridge crossings and roadways. The dataset includes hourly traffic counts for specific road segments, with columns for time periods like '12:00-1:00 AM' and '3:00-4:00PM'. This is a static historical dataset; counts do not cover the entire year, and the number of days counted per location may vary from year to year.
A video file titled 'traffic1.mp4' hosted on Kaggle. The dataset likely contains visual recordings of traffic scenes. Metadata regarding its source, collection method, and specific content is unavailable.
Data_flight_mnf is a dataset published on Kaggle. Its title suggests it contains information related to flights. The dataset's specific content, scale, and origin require verification after download.
Cameroon road accident data published on Kaggle. The dataset likely contains records of traffic incidents, though specific columns and volume are unknown. Metadata is minimal; the original source, collection method, and time period are not provided.
Monthly updated data identifies hazardous driving areas based on harsh braking and accident events aggregated over the previous 12 months. The dataset includes a severity score calculated per area from incident frequency and traffic flow. Data is publicly sourced from Geotab.
Compiled on December 02, 2025, this dataset is a nationwide catalog of fixed-guideway and fixed-route transit service in America. It shows transit routes, which are groups of trips displayed to riders as a single service, compiled using General Transit Feed Specification (GTFS) Schedule data.
Airport PPE Dataset is a collection of data related to personal protective equipment, sourced from Kaggle. Its specific contents, such as column definitions and data volume, are unknown. The dataset's author, organization, and last update date are also not provided.
New features for the Kaggle New York City Taxi Trip Duration competition were generated using the Wolfram Mathematica computational system. The dataset combines original trip records with calendar, weather, and estimated travel features. It includes columns for vendor, passenger count, time, season, temperature, precipitation, GPS coordinates, and estimated driving distance and time.
Railway Tweets is a dataset of social media posts related to railways, sourced from the Kaggle platform. The dataset likely contains text data from Twitter, but the exact number of rows, columns, and collection details are unspecified. Its author, organization, and license are unknown.
12,200 communication elements from 4,500 transmissions between pilots and controllers at 3 terminal facilities (TRACONs) were analyzed. Each element was categorized by speech act (e.g., instruction, request) and aviation topic (e.g., heading, altitude) and evaluated for communication errors. The analysis was conducted by O. Veronika Prinzo using the aviation topic-speech act taxonomy (ATSAT).
Integrated traffic, transit, weather, and incident data for major world cities. The dataset is sourced from Kaggle, but its author, organization, and specific temporal coverage are unknown. Its size, row count, and file formats are also unspecified.
Synthetic data simulates railway traffic conditions, including weather and train delays. The dataset likely contains variables for train speed and gate operations. Its origin and specific scale are not detailed in the provided description.
Traffic demand prediction (Gridlock) is a dataset hosted on Kaggle. The dataset likely contains information for forecasting traffic congestion or demand patterns. Metadata such as column descriptions, size, and license are currently unknown.
IFR air traffic movements across Europe form a time-series dataset. The dataset is hosted on Kaggle, but its author, organization, and specific temporal coverage are unknown. The number of rows, columns, and file formats are also unspecified.
Real-time shipment tracking data includes logistics events and risk monitoring. The dataset likely contains records of shipment movements and environmental factors. It was sourced from Kaggle, but specific authorship, size, and update details are unknown.
Hourly sea level values derived from tide gauge observations along the coast of Japan, with data last updated in 1997. The database contains three record types: station metadata, observation change comments, and hourly sea level values. Data was contributed by several Japanese agencies including the Maritime Safety Agency, Meteorological Agency, and Hokkaido Development Agency.
Tree ring width data from Nepal in Southcentral Asia, used for climate reconstruction. The chronology spans 329 years, from 300 to -29 calendar years before present (BP). This archived study is provided by NOAA National Centers for Environmental Information under the World Data Service for Paleoclimatology and was last updated in 1979.
NOAA/WDS Paleoclimatology archives a tree ring chronology dataset from Zolotica, Russia. The data covers a 396-year period from 356 to -40 calendar years before present. The dataset was published by NOAA National Centers for Environmental Information under the World Data Service for Paleoclimatology.