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Traffic data, public transit, aviation, shipping, ride-hailing, accident records
8,045 datasets
This dataset maps 33,200 km of arterial roads in Finland, providing AI-derived surface types and width classifications generated by HeiGIT from 2020 and 2024 PlanetScope satellite imagery. It integrates OpenStreetMap (OSM) attributes with deep-learning predictions to fill surface tag gaps for approximately 10.8% of the national arterial network. The data focuses on motorway, trunk, primary, and secondary road classes and their links.
Mapping 12,300 km of arterial roads in Cuba, this dataset provides AI-derived surface and width attributes generated by HeiGIT from 2020 and 2024 PlanetScope satellite imagery. It fills significant data gaps by providing surface predictions for 12,100 km of road segments that lack tags in OpenStreetMap, focusing on motorway, trunk, primary, and secondary classifications.
This dataset maps approximately 4,700 km of arterial roads in Lebanon, providing AI-derived surface types, widths, and passability scores generated by HeiGIT. Using PlanetScope satellite imagery from 2020 and 2024, the data fills information gaps for the 27% of the national arterial network that lacks OpenStreetMap surface tags. It focuses on motorways, trunks, primary, and secondary roads to assess national connectivity and logistical accessibility.
HeiGIT produced this dataset covering approximately 74,000 km of arterial roads in South Africa using AI analysis of PlanetScope satellite imagery from 2020 and 2024. It provides deep-learning predictions for road surface, width, and a Humanitarian Passability Index (HPI) for segments classified as motorway, trunk, primary, and secondary in OpenStreetMap.
4,800 km of arterial road data for North Macedonia generated by HeiGIT using PlanetScope satellite imagery from 2020 and 2024. The dataset provides AI-derived surface types, width classifications, and passability scores to supplement OpenStreetMap records. It specifically targets the arterial network, including motorways, trunks, primary, and secondary roads.
HeiGIT produced this dataset covering approximately 19,000 km of New Zealand's arterial road network using PlanetScope satellite imagery from 2020 and 2024. It features AI-derived road surface types, width classifications, and a Humanitarian Passability Index (HPI) to assess logistical accessibility across the country's primary transportation backbone.
HeiGIT produced this dataset mapping approximately 32,500 km of arterial roads in Ethiopia using PlanetScope satellite imagery from 2020 and 2024. It features AI-derived attributes for road surface, width, and a Humanitarian Passability Index (HPI) for motorway, trunk, primary, and secondary road classes.
This dataset maps approximately 10,600 km of arterial roads in Azerbaijan, providing AI-derived surface types, widths, and passability scores generated by HeiGIT from 2020 and 2024 PlanetScope satellite imagery. It covers motorways, trunks, primary, and secondary roads, filling data gaps for the 72% of the network that lacks surface tags in OpenStreetMap.
HeiGIT generated this geospatial dataset covering 132,100 km of arterial roads in Italy using AI analysis of PlanetScope satellite imagery from 2020 and 2024. It provides deep-learning predictions for road surface, width, and passability for segments classified as motorway, trunk, primary, and secondary in OpenStreetMap.
A national database contains approximately 25,000 seafloor sediment samples with 138,000 recorded properties. The project was a collaboration between the National Oceans Office and Geoscience Australia, culminating in a final report. It represents the first critical national assessment of Australia's seafloor sediment data quality and coverage.
New York State Department of Transportation data shows the location of Centerline Audible Roadway Delineators (CARDS) installed on state highways to reduce run-off-the-road crashes. The dataset includes the county, route, reference markers, length in miles, and year constructed for each installation section. Data collection began in 2012 and is hosted on the data.ny.gov platform.
Operational statistics from the Pereira Transport Terminal, starting in 2017. The data includes monthly counts for vehicle movements (taxis, vans, minibuses, buses, and minibuses) and user/passenger movements. It is published by www.datos.gov.co and was last updated in May 2026.
A geomythological database catalogs and georeferences geographical features linked to the Mapuche cosmogony of Trentrén and Caicai. The inventory includes diverse landform units identified through a critical review of bibliographic and cartographic sources. It was created by Cristian Bastías-Curivil and last updated in April 2026.
National Highways provides a geospatial layer detailing the majority of the Highways England road network, including trunk roads and motorways. This data, formatted in the legacy HAPMS schema from the newer P-AMS system, indicates the spatial extent of the agency's maintenance responsibility. The dataset was last updated on 2026-05-01.
Aggregated Way Segment is a line feature class representing sets of road segments sharing a common function or characteristic, such as road type or administrative grouping. The dataset is part of the NSW Transport Theme within the Foundational Spatial Data Framework and is published by Spatial Services, a business unit of the Department of Customer Service NSW. It was initially published on 06/02/2020 and has been updated to align with the national GDA2020 spatial reference system.
A collection of multimedia products visualizes sea floor terrain from bathymetric data collected during Phase 1 of the search for Malaysia Airlines flight MH370. The Australian Ocean Data Network published video flythroughs, images, and public communications related to the search. This includes translated versions of the ESRIOnline Story Map 'the Data behind the search for MH370' into Malay and Chinese.
Saint-Hyacinthe, Québec, features a geospatial dataset of 1-kilometer buffer zones around railway stations and marshalling yards. The data was created by the Government and Municipalities of Québec using geoprocessing tools and was last updated on April 22, 2026. It is available in GeoJSON and ESRI REST formats under a CC-BY-4.0 license.
Bicycle and pedestrian counts are collected from sensor counters at key locations across New York City. The dataset likely contains time-series records of traffic flow, with columns suggesting data on travel mode, direction, sensor ID, and count status. Data may have lapses due to weather, equipment malfunctions, or transmission issues.
77,293 origin-destination pairs from 100 cities are analyzed to evaluate a novel Earth Mover's Distance method for measuring alignment with street networks. The dataset supports research on predicting route length and complexity based on orientation distributions. It was authored by Arvid Krantz-Horned and last updated in April 2026.
Over 710,000 square kilometres of bathymetric data were collected from June 2014 to February 2017 to support the search for missing flight MH370. Geoscience Australia provided expertise for surveys using hull-mounted multibeam sonar on multiple vessels. The resulting dataset allows exploration of seafloor topography at a 150-meter resolution across the search and transit areas.