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Traffic data, public transit, aviation, shipping, ride-hailing, accident records
8,973 datasets
City of Austin's Safe Routes to School Program details infrastructure projects funded by 2016 and 2018 Mobility Bonds. The dataset supports urban planning for pedestrian and bicycle safety around schools in District 7. It includes geospatial and tabular attributes related to project development.
A City of Austin dataset documenting sidewalk construction projects for school safety under the 2016 Mobility Bond. The data covers a completed project on Austin Woods Drive between Mesa and Tallwood Drives from August 2022. It supports analysis of infrastructure development and urban planning initiatives.
Community feedback data collected by the Austin Transportation Department for evaluating safety and mobility on Parkfield Drive and near Wooldridge Elementary School. The dataset includes public input on traffic safety and urban planning, last updated in March 2026.
District 1 Safe Routes Improvement Projects detail infrastructure work funded by the 2016 and 2018 Mobility Bonds to improve student walking and biking safety. The City of Austin's Safe Routes to School Program developed these projects based on a District 1 Infrastructure Report. The dataset includes tags for Pedestrian Safety, School Safety, and Geospatial analysis.
Safe Routes to School infrastructure projects in Austin's District 9, funded by the 2016 and 2018 Mobility Bonds. The City of Austin's program develops projects from the District 9 Infrastructure Report to improve student walking and biking safety.
City of Austin Transportation and Public Works data details changes on Parkfield Drive from Mearns Meadow Boulevard to Payton Gin Road. The dataset, last updated in March 2026, documents planned safety and mobility enhancements near Wooldridge Elementary School.
District 6 Safe Routes Improvement Projects detail infrastructure work funded by Austin's 2016 and 2018 Mobility Bonds. The data, managed by the City of Austin, supports pedestrian and bicycle safety initiatives for school travel. Row and column counts are unspecified.
City of Austin's Safe Routes to School Program details infrastructure projects funded by the 2016 and 2018 Mobility Bonds. The dataset covers District 8 projects aimed at improving pedestrian and bicycle safety for students. It includes geospatial and tabular data on urban infrastructure improvements.
Austin's District 5 contains Safe Routes to School infrastructure projects funded by the 2016 and 2018 Mobility Bonds. The City of Austin developed these projects to improve student walking and biking safety, based on a District 5 Infrastructure Report.
From January 2020 to April 2026, this dataset covers maritime trade and shipping activities for Pakistan. It is sourced from the Pakistan National Shipping Corporation and is hosted on Kaggle. The specific variables and data volume are not detailed in the provided metadata.
1987-2025 flight data published by the U.S. Department of Transportation and hosted on Kaggle. The dataset likely contains records of commercial flights within, to, and from the United States. Columns may suggest details on schedules, delays, cancellations, and operational metrics.
Kaggle hosts a dataset titled 'This is the most reliable way to get airport'. The dataset's specific content and scope are not detailed in the provided metadata. Its author, size, and temporal coverage are unknown.
Aggregated monthly trip counts for New York City's TLC-regulated taxi and FHV industries by taxi zone. The dataset is derived from trip record submissions by FHV - High Volume companies and green and yellow taxi Technology Service Providers. It provides accessible, aggregated counts for wider analysis.
Aggregated crash data reported to the New York City Taxi and Limousine Commission (TLC). The dataset breaks down crash counts by industry and month, including totals, injury, critical injury, and fatality incidents. It is provided by the City of New York and was last updated in March 2026.
Road accident severity data likely contains records of traffic incidents. The dataset is published on Kaggle, a platform for data science projects. Specific details about the number of records, time period, and geographic scope are not provided in the available metadata.
Road accident severity data published on Kaggle. The dataset likely contains features for predicting the severity of traffic incidents. Metadata is minimal; actual content and scale require verification after download.
New York City yellow taxi trip records for the first quarter of 2022. The dataset is hosted on Kaggle. The specific source organization and collection method are not detailed in the available metadata.
British Geological Survey provides a 2002 oil and gas industry site survey for a pipeline/cable route from Cleaver Bank High to Clipper PM. The survey was acquired in March 2002 and traverses eight specific UK North Sea block numbers.
Mini Traffic Dataset is a collection of images for computer vision tasks, as indicated by its Kaggle description. The dataset likely contains visual data related to traffic scenes, intended for object detection and instance segmentation models. Its specific size, origin, and update history are not provided in the available metadata.
75,541 images of German traffic signs serve as a benchmark for fine-grained recognition. The dataset is a derivative of street-level imagery from Mapillary, aligned with German Road Traffic Regulations (StVO). It was created by miriamcarnot and last updated on 2026-01-19.