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Traffic data, public transit, aviation, shipping, ride-hailing, accident records
8,654 datasets
Lden, Lnight, Lday, Levening, and LAeq,16hr noise metrics for major UK airports, including Belfast International Airport. The dataset is provided by OpenDataNI under the OGL-UK-3.0 license and was last updated in March 2026. It is available in multiple geospatial and tabular formats, including SHP, GEOJSON, KML, and CSV.
Railway noise data from the uk_data platform, published under the OGL-UK-3.0 license by OpenDataNI. The description includes columns for Lden, Lnight, Lday, Levening, and LAeq metrics, suggesting a structured format for acoustic analysis. The dataset was last updated on 2026-03-18.
A dataset from OpenDataNI, last updated on 2026-03-18, containing railway noise measurements. The data includes acoustic metrics such as Lden, Lnight, Lday, Levening, and LAeq values for different time periods. It is available in multiple geospatial and tabular formats including SHP, GEOJSON, KML, and CSV.
Noise exposure metrics for major railways, including LAeq for 6-hour and 16-hour periods, as well as day, evening, and night levels (Lden, Lday, Levening, Lnight). The dataset is provided by OpenDataNI under the OGL-UK-3.0 license and was last updated on 2026-03-18.
Noise exposure data for major airports, including Belfast International Airport, measured using the LAeq,16hr metric and other standard noise indicators like Lden, Lday, Levening, and Lnight. The dataset is provided by OpenDataNI under the OGL-UK-3.0 license and was last updated on March 18, 2026. Available file formats include JSON, KML, CSV, SHP, GEOJSON, and HTML.
OpenDataNI provides noise level data for major UK airports, such as Belfast International Airport. The data includes metrics like Lden (day-evening-night level), Lnight, Lday, Levening, and LAeq,16hr. It was last updated on 2026-03-18 and is available in multiple formats including CSV, JSON, and geospatial files (KML, SHP, GEOJSON).
OpenDataNI provides this dataset on railway noise pollution, featuring acoustic metrics like Lden, Lnight, Lday, Levening, and LAeq for 16-hour, 6-hour, and 18-hour periods. The data is available in multiple formats including JSON, KML, CSV, SHP, and GEOJSON. It was last updated on 2026-03-18.
Noise exposure data for major UK airports, including Belfast International Airport, measured using standard metrics like Lden, Lnight, Lday, Levening, and LAeq,16hr. The dataset is provided by OpenDataNI under the OGL-UK-3.0 license and was last updated on 2026-03-18. Available formats include JSON, KML, CSV, SHP, and GEOJSON.
A dataset from OpenDataNI, last updated on 2026-03-18, containing railway noise measurements. It likely includes acoustic indicators such as Lden (day-evening-night level), Lnight, and LAeq for 18-hour, 16-hour, and 6-hour periods. The data is provided in multiple geospatial and tabular formats including SHP, GEOJSON, KML, and CSV.
Railway noise data from the OpenDataNI organization, last updated on 2026-03-18. The dataset includes noise level metrics such as Lden, Lnight, Lday, Levening, and LAeq for different time periods. It is available in multiple formats including JSON, KML, CSV, SHP, and GEOJSON.
2024 object-level trajectory data from a USDOT SMART project, collected by the City of Colorado Springs and NREL using infrastructure sensors at traffic intersections. The dataset contains processed detections from EVO RADAR, OS1 LIDAR, and Axis Camera units, transformed into a common coordinate system. It serves as a repository for developing multi-sensor data fusion algorithms.
Backscatter data for seafloor topography was collected by Geoscience Australia to support the search for missing flight MH370. The dataset covers over 710,000 square kilometres in the Southern Indian Ocean, acquired via hull-mounted multibeam sonar from June 2014 to February 2017. It provides a 30-meter resolution map of the search and transit areas.
195 AI character personas have voice designs, generated dialogue, and synthesized speech based on their character settings. The dataset contains 20,800 audio files, including 195 reference voices and 20,600 spoken utterances, all in WAV format. It was created by kizuna-intelligence and last updated on April 11, 2026.
A 2025 action plan from the Village of Oak Park, Illinois, outlining strategies to eliminate traffic fatalities and severe injuries. The plan, authored by the Village of Oak Park, aims to increase safe, equitable, and healthy mobility for all residents. It was last updated in the dataverse repository on April 27, 2026.
A Data Management and Sharing Plan outlines the scientific data to be generated and/or used in a research project. The plan describes a strategy for managing and sharing project data related to neuroimmunological markers, estradiol, and anhedonia during the menopause transition. It was authored by Erin Bondy and last updated on May 11, 2026.
A Data Management and Sharing Plan outlines the scientific data to be generated and/or used in research focusing on the menopausal transition to improve mid-life women's health. The plan was authored by Genevieve Neal-Perry and is hosted by the ODUM Harvested Dataverse. It was last updated on May 11, 2026.
A Data Management and Sharing Plan authored by Martin Ferris and harvested by ODUM. The plan describes the scientific data to be generated and/or used in research on the systems genetics of tuberculosis and outlines a strategy for managing and sharing project data.
Geoscience Australia produced a film detailing bathymetric mapping and side scan sonar processes used in the search for Malaysia Airlines flight MH370. The video contains data visualizations derived from bathymetric surveys within the search area and animated representations of sonar data collection techniques.
26 weekly summaries of parking violations in Washington D.C. for the first half of 2013, aggregated by street segment, time of day, and violation type. The data supports analysis of over 50 violation combinations for spatial and temporal pattern identification, produced by the District of Columbia's Vision Zero initiative.
District of Columbia data summarizes parking violation ticket counts by time of day, week of year, and violation category for the first 26 weeks of 2015. The dataset provides a weekly perspective on over 50 violation combinations, aggregated into 26 distinct street segments. It was created by the District of Columbia from Vision Zero enforcement data.