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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
17,600 datasets
OpenStreetMap data from 2026 provides points of interest across the Democratic Republic of the Congo. The dataset, created by the Humanitarian OpenStreetMap Team, includes public-facing amenities, shops, tourist attractions, and landmarks tagged with categories like amenity, shop, tourism, or man_made. It is useful for general reference, urban analysis, and adding detail to basemaps.
OpenStreetMap volunteer mappers have tagged sea ports and ferry terminals across the Democratic Republic of the Congo. The dataset is derived from a free, collaborative world map and is useful for maritime logistics and coastal planning. Coverage likely reflects mapper activity, with urban areas better represented than remote regions.
OpenStreetMap data for airports, heliports, helipads, runways, terminals, and emergency landing sites in the Democratic Republic of the Congo, tagged via `aeroway`, `building`, or `emergency` keys. The Humanitarian OpenStreetMap Team (HOT) exported this data, which was last updated on 2026-06 -19. Coverage likely reflects volunteer mapping activity, with urban areas typically better represented than remote regions.
OpenStreetMap volunteer contributions identify cities, towns, villages, and residential areas across the Democratic Republic of the Congo. This dataset, sourced from the Humanitarian OpenStreetMap Team, is useful for settlement-level targeting and population analysis. Coverage reflects mapper activity, with urban areas likely well-represented and remote areas potentially sparse.
OpenStreetMap data from 2026 provides a geospatial inventory of health facilities in the Democratic Republic of the Congo, including hospitals, clinics, pharmacies, doctors, and dentists. The dataset was created by volunteer mappers for the Humanitarian OpenStreetMap Team and is useful for analyzing service access and planning emergency response. Coverage is likely more complete in urban areas where mappers have been active, while remote areas may be sparse.
Education facilities across the Democratic Republic of the Congo, including schools, kindergartens, colleges, and universities, tagged via OpenStreetMap's `amenity` or `building` keys. The Humanitarian OpenStreetMap Team (HOT) compiled this dataset, which was last updated on 2026-06-19. Coverage reflects volunteer mapping activity and is likely more complete in urban areas than remote ones.
OpenStreetMap volunteer contributions provide railway lines, tram tracks, and stations tagged with `railway=*` for the Democratic Republic of the Congo. The dataset is maintained by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-06-19. Coverage likely reflects mapper activity, with urban areas typically better represented than remote regions.
The Democratic Republic of the Congo's water features, including rivers, streams, canals, lakes, ponds, and water bodies. Data is sourced from OpenStreetMap, tagged with keys like `waterway`, `water`, or `natural=water`, and provided by the Humanitarian OpenStreetMap Team. The dataset was last updated on 2026-06-19.
OpenStreetMap provides a free, collaborative road network across the Democratic Republic of the Congo, tagged with highway types like motorways and footways. The Humanitarian OpenStreetMap Team (HOT) exports this data, which was last updated on 2026-06-19. Coverage likely reflects volunteer mapper activity, with urban areas well-represented and remote areas potentially sparse.
OpenStreetMap data for Cameroon contains points of interest tagged as amenities, shops, tourist attractions, or man-made structures. The Humanitarian OpenStreetMap Team (HOT) compiled this dataset, last updated on 2026-06-19. Coverage likely reflects volunteer mapping activity, with urban areas typically better represented than remote regions.
OpenStreetMap data provides a geospatial dataset of sea ports and ferry terminals in Cameroon, tagged via `amenity`, `building`, or `port` keys. The Humanitarian OpenStreetMap Team (HOT) exported this data, which was last updated on 2026-06-19. Coverage reflects volunteer mapper activity, with urban areas likely better represented than remote ones.
NHS Digital provides statistics on contracted doctor positions within English NHS organizations. The data includes Full Time Equivalent (FTE) figures and covers positions where the assigned person may be temporarily absent. The methodology for these statistics changed from December 2015.
329 stable carbon and oxygen isotope measurements from individual ostracode valves collected across Lake Turkana. Kaustubh Thirumalai of the University of Arizona provides this data, which was gathered from modern sediments between May and November 1979. Pooled statistics from these analyses show strong correlations with lake hydrological parameters and reveal systematic latitudinal gradients.
Over a century of marine sediment data, from 1905 to 2017, describing physical properties of seabed samples. The dataset is held by Geoscience Australia's Marine Sediment database (MARS) and aggregates samples from multiple organizations across Australian waters and territories. Attributes likely include survey details, sample IDs, location, water depth, and sediment properties like grain size percentages and texture classification.
Nine carbonaceous shale and two coquinite samples from the Cretaceous Toolebuc Formation in Australia were analyzed using high-energy resolution fluorescence detection x-ray absorption spectroscopy. The dataset, presented at the 2023 Goldschmidt Conference, characterizes uranium oxidation state and distribution in organic-rich marine sediments. Results indicate a significant proportion of uranium exists as U(VI) despite reducing conditions.
Peter N. A. Speets and J. Kalkman from Delft University of Technology provide experimental data and analysis scripts for the complex refractive index of dense colloidal media. The repository contains raw and processed spectral measurements, including attenuation, group index, and group velocity dispersion. Data is stored in HDF5 files, and analysis is performed with Python scripts implementing Mie scattering and forward fitting models.
More than 860,000 declassified images of the Earth's surface were collected by U.S. intelligence satellites, including CORONA, ARGON, and LANYARD systems, between 1960 and 1972. This specific dataset contains panchromatic images from the KH-4B mission, which operated from September 1967 to May 1972 with a ground resolution of six feet (1.8 meters). The scanned TIFF files are not geo-referenced and require GIS software for analysis.
A 10-year monthly climatology from September 1997 to 2007 provides fractional contributions of micro-, nano-, and picoplankton globally. The dataset, produced by the Plymouth Marine Laboratory using SeaWiFS satellite data, supports the quantification of the oceanic organic carbon cycle. It is designed to improve models of ocean primary production and the role of biological processes in the carbon cycle.
More than 860,000 declassified images of the Earth's surface were collected by U.S. intelligence satellites between 1960 and 1972. The specific dataset described is from the KH-4B mission, covering September 1967 to May 1972 with a ground resolution of six feet (1.8 meters). Individual image files, such as those covering the Syrian/Turkish border, are provided as non-georeferenced TIFF scans requiring GIS software for analysis.
From 2005/06 onward, this dataset provides the percentage of recorded offences that result in a formal sanction against a suspect, broken down by broad crime groups and London boroughs. The data is published by the Greater London Authority and sourced from the Metropolitan Police, with a last update recorded in July 2026. Caution is advised when comparing sub-groups of crime figures before and after classification changes in April 2012 and during the transition to Action Fraud recording for fraud offences between 2011 and 2013.