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Traffic data, public transit, aviation, shipping, ride-hailing, accident records
7,876 datasets
2017-2022 longitudinal qualitative research materials from a study tracking one cohort of young people in Scotland from ages 15 to 22. The dataset includes project reports, data management plans, consent forms, interview guides, and a coding framework, deposited by author Christine Huebner. The study documented how young people made sense of their roles as citizens and decisions about civic and political engagement.
372 files totalling 119 GB of raw bathymetry and backscatter data, plus 241 files totalling 269 GB of watercolumn backscatter data, collected by the RV Investigator in May-June 2018. The Kongsberg EM710 MKII multibeam echosounder was used to survey shipping routes in Bass Strait near Wilson's Promontory. Data are stored by the Australian Ocean Data Network in raw, processed, and gridded formats.
July 1, 2014 to June 30, 2026 fiscal years contain records of parking violations issued in New York City at the time of issuance. The dataset likely contains details on vehicle, location, violation type, and issuing officer for each summons. Status changes after issuance are not reflected; current status is available in a separate dataset.
13.4 MB of research materials on user-level local differential privacy, authored by Alexander Kent and last updated in June 2026. The work derives minimax lower bounds and matching upper bounds for estimation problems, including mean and density estimation, under privacy constraints. It demonstrates phase transition phenomena as the number of observations per user varies.
A collaborative project between the National Oceans Office and Geoscience Australia created the MARS database of seafloor sediment data. The database contains about 25,000 samples with 138,000 recorded properties, covering the Australian Marine Jurisdiction. Maps of sediment properties like grain size and carbonate content were produced for the Northern Planning Area and broader region.
A linear layer dataset details the bicycle network for the City of Shawinigan, Québec. The data was created by scanning from orthophotography and is published by the Government and Municipalities of Québec. It is available in multiple formats including CSV, SHP, and GEOJSON.
A systematic review and meta-analysis of 22 studies (N=260,430) evaluates neuro-ophthalmic complications of tuberculosis and its treatment. The work, authored by Ahmed A. Alessa and published on figshare in May 2026, reports pooled incidence rates, risk factors, and prognostic biomarkers. It follows PRISMA 2020 guidelines and includes data from PubMed, Scopus, Embase, Web of Science, Cochrane Library, and Google Scholar.
Twenty-two studies (N=260,430) were included in this systematic review and meta-analysis published by Ahmed A. Alessa in 2026. The pooled incidence of ethambutol optic neuropathy was 1.54%, with renal impairment and hypertension identified as significant risk factors. The review also reports neuro-ophthalmic manifestations of tuberculous meningitis and compares biomarker efficacy.
A systematic review and meta-analysis of 22 studies (N=260,430) evaluating neuro-ophthalmic complications related to tuberculosis and its treatment. The work, authored by Ahmed A. Alessa, was published on figshare in May 2026. It reports pooled incidence rates, risk factors, and biomarker performance for conditions like ethambutol optic neuropathy and tuberculous meningitis manifestations.
22 studies (N=260,430) were included in this systematic review and meta-analysis. The work, authored by Ahmed A. Alessa and published on figshare in May 2026, evaluates the incidence and risk factors for neuro-ophthalmic complications related to tuberculosis and its treatment.
Twenty-two studies comprising 260,430 participants were analyzed to quantify neuro-ophthalmic complications of tuberculosis. The meta-analysis reports a pooled incidence of ethambutol optic neuropathy at 1.54% and identifies renal impairment and hypertension as significant risk factors. Ahmed A. Alessa published this systematic review on figshare in May 2026 under a CC-BY-4.0 license.
A 9.5 KB Excel file summarizing a proposed GNN-RL Edge-Cloud Digital Twin framework for traffic management. Authored by Fayez Alanazi, the summary details a system that integrates edge-level traffic forecasting with cloud-level simulation and reinforcement learning for adaptive signal control. The framework reportedly achieved a 17% reduction in average vehicle waiting time and improved forecasting performance under missing and noisy data conditions.
A 5.9 KB text file published by Jamie Davis on figshare in June 2026. It describes Module 072 of the Davis Logic V2 architecture, a production-grade, lock-free telemetry router for high-reliability embedded systems. The component is written in freestanding C++11 and designed for deterministic data exchange across conflicting software execution loops.
From March 27 to September 25, 2021, this dataset provides Level 2 atmospherically corrected surface reflectance data from NASA's AVIRIS-NG instrument over the Atchafalaya and Terrebonne basins in coastal Louisiana. It captures seasonal conditions during the Delta-X campaign's Spring and Fall deployments, plus 56 specific flight files from after Hurricane Ida's landfall on August 29. The data, with a spatial resolution of 3.8-5.4 meters and spectral sampling from 380 to 2510 nm, are provided in ENVI format as part of a multi-sensor airborne campaign.
Yağmur Özinal Avşar proposes a novel machine learning method, Embedding-XGBoost (E-XGB), for classifying traffic crash types. The model was trained and tested on 10 years of crash data from central districts in İzmir, Türkiye, specifically Bornova, Karşıyaka, and Konak. The method achieved an accuracy of 85.42% using only 10 selected features and outperformed several benchmark algorithms.
53,770 aviation occurrence summaries from the Transportation Safety Board of Canada spanning 80 years. The dataset was used to develop and compare three machine learning classifiers for automated incident/accident classification. The work was authored by Sawera Qureshi and published on figshare in May 2026.
53,770 aviation occurrence summaries from the Transportation Safety Board of Canada, spanning an 80-year period. The dataset was used to train and evaluate machine learning classifiers for automated report triage. It was authored by Sawera Qureshi and last updated on 2026-05-21.
Sawera Qureshi's dataset contains a 5-fold cross-validation configuration for classifying aviation safety occurrence reports. The underlying data comprises 53,770 aviation occurrence summaries from the Transportation Safety Board of Canada, spanning an 80-year period. The dataset was last updated on 2026-05-21.
Railway lines and stations from OpenStreetMap, tagged with the `railway` key. The data includes rail lines, tram tracks, and stations, sourced from a free, collaborative world map built by volunteers. It was last updated on 2026-05-15 and is provided by the Humanitarian OpenStreetMap Team (HOT).
A 9.5 KB Excel dataset provides road network distances between nodes in kilometers. It was used in a 2026 study by Chen Ying to optimize first-mile pre-cooling distribution centers for fresh agricultural products in Shandong Province, China. The data underpins a multi-objective model minimizing logistics cost and maximizing product freshness.