Loading...
Loading...
Traffic data, public transit, aviation, shipping, ride-hailing, accident records
8,959 datasets
Real-time road condition sensor data from Austin Transportation & Public Works monitors roadway temperature and surface conditions for freezing event detection. The data is updated continuously every 5 minutes by the city's Mobility Management Center.
Austin's City of Austin organization provides a lookup table for linking Vision Zero crash records to mobility project records via a 40-foot spatial buffer. The dataset, last updated March 2026, serves as an intermediary join key for integrated traffic safety and urban planning analysis. Row and column counts are unspecified.
City of Austin Transportation & Public Works' Data & Technology Services team publishes this dataset of Github issues for reporting purposes. The data is provided in multiple formats including JSON, CSV, and XML. It was last updated in March 2026.
Core Transit Corridors identified in a 2005 City Council policy document with amendments from 2006. The dataset is maintained by the City of Austin and was last updated in March 2026. Column count and row count are unknown.
Segmentation_Potato_Tuber_IBP-4_uclv is a dataset hosted on Kaggle. The title suggests it contains images of potato tubers, likely annotated for segmentation tasks. Its specific origin and scale are not detailed in the provided metadata.
Segmentation Potato Tuber IBP-4 is a dataset hosted on Kaggle, likely containing images of potato tubers. The title suggests the data is focused on the IBP-4 potato variety and is intended for image segmentation tasks. No further metadata on size, source, or collection date is provided.
8K Potato Tuber Caption Dataset is a collection of potato tuber images paired with descriptive text, likely for computer vision and natural language processing tasks. It was published on huggingface by author Sandesh-Lav and was last updated on 2026-03-31. The dataset's specific size, file formats, and column structure are not detailed in the available metadata.
AXBT (Airborne eXpendable Bathythermograph) measurements collected during 35 research flights between February 1979 and May 1980. The data originates from the NORPAX (North Pacific Experiment) Tahiti Shuttle Experiment and is published by the National Oceanic and Atmospheric Administration. This dataset likely contains ocean temperature profiles from the tropical Pacific region.
615,000 tokens of cleaned text data used for training the Crow 8B language model. The dataset was created by Crownelius and last updated on Hugging Face in March 2026. It consists of prompt-completion pairs with an average of 6.65 tokens per row.
Eye-tracking data including fixations, saccades, blinks, and pupil information was collected from volunteer air traffic controllers during a real-time simulation. The research, conducted at the FAA William J. Hughes Technical Center, analyzed how visual scanning patterns changed under different traffic loads and visual noise. Results indicated controllers' attention shifted from the radarscope during high workload, impacting the detection of airspace intrusions.
A research project synthesizing background literature and observational field data on driving problems at intersections for drivers aged 61 and older. The field study involved 82 subjects who completed functional tests and on-road evaluations on familiar and unfamiliar routes, with driving behaviors recorded via in-vehicle cameras. Analysis identified visual search errors as predominant and examined relationships between functional test results and examiner-recorded error scores.
Population databases were analyzed to study the association between multiple medication use and motor vehicle crashes in individuals aged 50 years and older. The research, authored by Aida A. LeRoy, conducted a case-control study using proprietary and non-proprietary databases. The results suggest that the number and type of medication exposures, along with disease characteristics, may predict increased crash risk among older adults.
Several hundred flight parameters are recorded per second from worldwide commercial aircraft operations, including guidance, navigation, control, avionics, propulsion, and pilot inputs. This dataset is associated with a novel multiple kernel learning algorithm designed to detect safety anomalies in mixed discrete and continuous data streams. The algorithm was tested on real-world aviation data and reportedly uncovered operationally significant events not detectable by other methods.
21.7 million processed spatial-temporal records combine Automatic Identification System (AIS) data with weather information for maritime traffic analysis. The dataset focuses on the Los Angeles and Long Beach port region and covers a period from 2023 to 2025. It is intended for advanced maritime AI applications.
SwiftRoutes is a dataset published on Kaggle. The dataset's title suggests a focus on transportation or logistics routing. No further details on size, origin, or creation date are available from the provided metadata.
Crow 8B Training Data is a text corpus used for training language models, containing 1,575,394 total tokens. The data was uploaded by author Crownelius to Hugging Face and was last updated on March 15, 2026. The description indicates the data was processed via OpenRouter, with an average of 8.29 tokens per row.
A countrywide dataset of traffic accidents in the United States covering the years 2020 to 2023. The data was aggregated from multiple open sources and is hosted on Kaggle. The specific number of records and detailed features are not provided in the available metadata.
Drivers reported by licensed Transportation Network Providers as eligible to operate in Chicago each month. The dataset includes a MONTH_REPORTED column and flags for drivers working with MULTIPLE_TNPS. Data is reported monthly by companies as part of city licensing requirements.
Street segments designated as Residential Parking Zones in Chicago, updated daily with major updates following City Council meetings. Segments are categorized as 'Standard' with physical signs or 'Buffer' zones where residents can purchase permits without signs. The dataset includes unique Record IDs and Zone numbers for each segment.
A quantitative spatial equilibrium model analyzes the impact of cycling on urban structure and welfare in the Netherlands. The study finds eliminating cycling increases commuting times by 15% and distances by 30%, while also exacerbating car congestion. The model incorporates mode choice and car congestion to assess the effects of cycling infrastructure.