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Traffic data, public transit, aviation, shipping, ride-hailing, accident records
8,982 datasets
Foot traffic and mobility data provides insights into human movement patterns across Estonia. The dataset originates from Techsalerator, but its specific volume, time range, and collection method are unspecified.
Foot traffic and mobility data collected for the country of Eswatini. The dataset is provided by Techsalerator. Specific volume, temporal coverage, and collection methods are not detailed.
Foot traffic and mobility data for Ethiopia provides insights into human movement patterns across the country. The dataset originates from Techsalerator, though specific volume and temporal details are unavailable.
Foot traffic and mobility data provides insights into human movement patterns within Fiji. The dataset originates from Techsalerator, but the specific volume, time range, and collection methodology are unknown.
Foot traffic and mobility data provides insights into human movement patterns across Finland. The dataset originates from Techsalerator, a data provider specializing in commercial and location intelligence. Specifics on volume, time range, and collection methodology are not detailed in the provided information.
Official color specifications for the Metropolitan Transportation Authority's services in New York. The dataset provides RGB Hex codes and CMYK values for the New York City Subway, Staten Island Railway, Long Island Rail Road, Metro-North Railroad, and Bridges & Tunnels, including the MTA logo. It is maintained by the State of New York and was last updated in February 2026.
Volunteer-collected annual counts of cyclists and pedestrians at specific locations in Somerville, Massachusetts, since 2010. Data is collected using a 'screen line' method during one-hour morning and evening sessions each fall. The dataset captures trends in active transportation but does not provide movement-level detail.
The USGS National Transportation Dataset (NTD) contains vector data for roads, railroads, trails, airports, and waterways across the United States. It is derived from U.S. Census Bureau TIGER/Line data supplemented with HERE road data and supports mapping and GIS analysis. The data includes feature names, route designators, classifications, and locations.
Parking Spaces information includes locality, car park name, and number of Spaces. This data is published to comply with the Local Government Transparency Code by the Calderdale Metropolitan Borough Council. The dataset was last updated in March 2026.
A list ranks the top 50 locations in Calderdale based on Penalty Charge Notices issued. The dataset is provided by the Calderdale Metropolitan Borough Council and was last updated in March 2026.
Calderdale Metropolitan Borough Council data details the number of valid Penalty Charge Notices (PCNs) issued and reported to Patrol, aggregated by month and financial year. The dataset was last updated in March 2026.
Seven years of Parking Account information published under the UK Local Government Transparency Code. The dataset details income from permits, suspensions, and car park closures, alongside expenditure, for the Calderdale Metropolitan Borough Council. It is maintained for public transparency and was last updated in March 2026.
Router-MoE-RAG is a dataset published on Kaggle. Its title suggests it relates to Mixture-of-Experts (MoE) and Retrieval-Augmented Generation (RAG) architectures in machine learning. The dataset's specific content, scale, and origin require verification after download.
Router-Moe-Rag1 is a dataset published on Kaggle. Its title suggests a focus on AI infrastructure components, potentially related to routing mechanisms, mixture-of-experts models, or retrieval-augmented generation systems. The dataset's specific content, scale, and authorship require verification after download.
A dataset titled 'router-moe-rag-1' published on Kaggle. The title suggests it may contain data related to routing mechanisms for mixture-of-experts (MoE) or retrieval-augmented generation (RAG) models. Metadata is minimal; the actual content, scale, and authorship require verification after download.
Kaggle hosts the dataset titled 'router-moe-rag-2'. The dataset likely pertains to techniques in artificial intelligence, specifically involving router models, mixture-of-experts (MoE) architectures, or retrieval-augmented generation (RAG). Its specific content, size, and authorship are not detailed in the provided metadata.
Router-MOE-Medrag is a dataset published on Kaggle. Its title suggests it relates to routing mechanisms for Mixture of Experts (MoE) or Medrag AI models. The dataset's content, scale, and authorship are unknown.
Kaggle dataset titled 'router-moe-rag'. The dataset likely pertains to machine learning architectures involving mixture of experts (MoE) and retrieval-augmented generation (RAG). Its specific content, size, and authorship are unknown.
Kaggle hosts a dataset titled 'router-moe-rag'. The dataset likely contains information related to routing mechanisms for mixture of experts (MoE) models and retrieval-augmented generation (RAG) systems. Its specific content, size, and authorship are unknown from the provided metadata.
Department of Transportation data on average air fares, aggregated by quarter, airport, and air carrier. The dataset provides figures for analyzing fare trends across the U.S. aviation network.