Slick, quick vector maps for use as a customisable, contextual base, with a focus on web and mobile apps.

Benefit from unrivalled levels of detail in your web or mobile app. OS Vector Tile API contains OS MasterMap Topography Layer including building heights.

Integrate Ordnance Survey's up-to-date, detailed maps in your applications, enabling you to make location-based decisions with confidence. You can customise the content and style to make your perfect map.

O S

## Overview

O S is a dataset for object detection tasks - it contains Sena_o annotations for 1,597 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

OS Open Names is an OpenData dataset that includes place names, road names and numbers and postcode for Great Britain and includes 2.5 million locations. The OS Open Names locator allows geocoding and searching against postcodes, street names, road numbers and places all in a single locator.

For more information about the OS Open Names dataset visit the following link: https://www.ordnancesurvey.co.uk/business-and-government/products/os-open-names.htmlData currency : January 2022

Dataset Card

This is the training dataset used in the paper VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models.

  Source

Project Page: https://nus-lins-lab.github.io/vlaos/ Paper: https://arxiv.org/abs/2506.17561 Code: https://github.com/HeegerGao/VLA-OS Model: https://huggingface.co/Linslab/VLA-OS

  Usage

Ensure you have installed git lfs: curl -s… See the full description on the dataset page: https://huggingface.co/datasets/Linslab/VLA-OS-Dataset.

OS Open Greenspace depicts the location and extent of spaces such as parks and sports facilities that are likely to be accessible to the public. Where appropriate, it also includes access points to show how people get into these sites. Open Greenspace consists of the following classifications:Public parks or gardensPlay spacesGolf coursesSports areas or playing fieldsChurchyards or burial groundsAllotments or community growing spaces Its primary purpose is to enable members of the public to find and access green spaces near them for exercise and recreation. Find out more about the uses and case studies surrounding Greenspace on the dedicated OS Open Greenspace webpage, and technical information about the greenspaces it contains and how to use them in our detailed specification. Who's using OS Open Greenspace?Innovators - Britain’s most comprehensive Open dataset of greenspaces underpins a range of apps, products and innovations - providing the foundation to help create greener and healthier communities.Public sector (Public Health England) - Incorporated as a layer into SHAPE, the dataset has been used alongside asset location data (GPs, pharmacies, schools) and indicator data (population and deprivation), to help inform and support the strategic planning of services and physical assets across the health economy.Emergency services - A vital tool in helping our emergency services, OS Open Greenspace includes site use and access points, making it quicker to get to emergency situations.The currency of the data is April 2025 and has a six-monthly update cycle (April and October). This data has been sourced from the OS and Esri UK claim no ownership of the data. For more information on the OS Open Greenspace dataset see the OS product page: https://www.ordnancesurvey.co.uk/products/os-open-greenspace

Natural Resources Wales (NRW) holds copies of Ordnance Survey (OS) basemaps for the whole of Wales, in paper and digital format. NRW obtain much of it's OS data, initially, as part of the Public Sector Mapping Agreement (PSMA) and from 2020 as part of the Public Sector Geospatial Agreement (PSGA), which is a collective agreement between OS and the government.

Thanks to OS MasterMap Highways Network with Speed Data, you can also access road speed information through our product. It’s an additional dataset to help you plan logistics and monitor our roads more effectively.

Perhaps you're looking for more data about Great Britain's roads? Or maybe you're studying drive times or comparing vehicle types along routes or the impact of a new development? This could be the product for you.

We have enhanced our Highways Network family of products with these three speed data additions. Each product is supplied with an additional data file which will be either Average Speed, Speed Limits or a combination of both.

Fire Os

## Overview

Fire Os is a dataset for object detection tasks - it contains Fire Os annotations for 477 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

A complete list of live websites using the Os Datahub Maps technology, compiled through global website indexing conducted by WebTechSurvey.

The OS Open Greyscale map service is designed to be used as background mapping providing a seamless map view from small to large scales with a consistent cartographic representation. The sources of data are Ordnance Survey Strategi data for small an

With OS Names API, you’ll have access to a straightforward, rapid lookup service: drilling down into the details we hold in our OS Open Names dataset. The API uses the OS Open Names dataset, a gazetteer or directory hosting detailed information about 2.5 million identifiable places in Great Britain including postcodes, roads and settlements. A free, searchable, reliable database to help you find and verify populated places, road names, road numbers and postcodes. OS Names API is a reliable way of supporting the discovery or identification and visualisation of a named place; geocoding; routing and navigation, and linking diverse information such as statistics or descriptions. OS Names can locate a feature using just its name, or it can find the closest location to a given point.

Crop production is among the most extensive human activities on the planet – with critical importance for global food security, land use, environmental burden, and climate. Yet despite the key role that croplands play in global land use and Earth systems, there remains little understanding of how spatial patterns of global crop cultivation have recently evolved and which crops have contributed most to these changes. Here we construct a new data library of subnational crop-specific irrigated and rainfed harvested area statistics and combine it with global gridded land cover products to develop a global gridded (5-arcminute) irrigated and rainfed cropped area (MIRCA-OS) dataset for the years 2000 to 2015 for 23 crop classes. These global data products support critical insights into the spatially detailed patterns of irrigated and rainfed cropland change since the start of the century and provide an improved foundation for a wide array of global assessments spanning agriculture, water resource management, land use change, climate impact, and sustainable development.

Benefits and key featuresUnderstand your area in detail, including the location of key sites such as schools and hospitals.Share high-quality maps of development proposals to help interested parties to understand their extent and impact.Analyse data in relation to important public buildings, roads, railways, lines and more.Present accurate information consistently with other available open data products.

The OS Linked Identifiers API allows you to access the valuable relationships between properties, streets and OS MasterMap identifiers (TOIDs). Benefit from the valuable relationship found in OS Premium products. Link together datasets that are using different identifiers; for example, linking a property address (UPRN) to the street that it’s on (USRN). The OS Linked Identifiers API allows users to access the valuable relationships between properties, streets and OS MasterMap identifiers for free. An identifier is a unique reference assigned to a specific thing, so when you are talking to someone else you can use it to ensure you're talking about the same thing. They are used all the time, such as telephone numbers, postcodes and customer reference numbers. OS is striving to make its identifiers more accessible and useful for its customers. The OS Linked Identifiers API takes this further by enabling the linking together of datasets that are using different identifiers; for example, linking a property address (UPRN - Unique Property Reference Number) to the street that it is on (USRN - Unique Street Reference Number).

Ordnance Survey’s OS Terrain 5 DTM is a dataset representing the physical shape of the real world. The dataset includes 5 metre GRID. The DTM data is captured from Ordnance Survey’s large scale aerial imagery. The product is updated and maintained quarterly.

OS Net is our highly accurate and resilient network of global navigation satellite system (GNSS) base stations covering Great Britain. It enables Real-time Kinematic (RTK) positioning services, offered by our partners, which are ideal for surveying, construction and precision agricultural applications. OS Net raw data is available free of charge for post-processed positioning. The datasets consist of station locations and actual data, which is currently archived at Nottingham University.

https://os.uk/business-and-government/products/os-net/index.html

ftp://www.ordnancesurvey.co.uk/gps/rinex

The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.The historical shoreline analysis was based on all available Ordnance Survey maps and aerial imagery information. Analysis looked at position and geometry over annual to decadal time periods, providing a dynamic picture of how the coastline has changed since the start of the early 1800s.Once all datasets were collated, data was interrogated using the ArcGIS package – Digital Shoreline Analysis System (DSAS). DSAS is a software package which enables a user to calculate rate-of-change statistics from multiple historical shoreline positions. Rate-of-change was collected at 25m intervals and displayed both statistically and spatially allowing for areas of retreat/accretion to be identified at any given stretch of coastline.The DSAS software will produce the following rate-of-change statistics:Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.

Welcome to the Ordnance Survey Data Download in ArcGIS Online! This is a feature service that enables ArcGIS users to download OS Open Datasets via the ArcGIS Platform. These downloads come from the OS Open Data Hub.OS Terrain® 50: Visualise simple landscapes in 3D and bring your geographic analysis to life.This dataset comes as a Shapefile (.shp), an ASCII Grid and a Geopackage.Download ShapefileDownload ASCII GridDownload GeopackagePlease see here for the Terms Currency: This dataset points to the OS datahub so will be the most current dataset that they have available.

The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.The historical shoreline analysis was based on all available Ordnance Survey maps and aerial imagery information. Analysis looked at position and geometry over annual to decadal time periods, providing a dynamic picture of how the coastline has changed since the start of the early 1800s.Once all datasets were collated, data was interrogated using the ArcGIS package – Digital Shoreline Analysis System (DSAS). DSAS is a software package which enables a user to calculate rate-of-change statistics from multiple historical shoreline positions. Rate-of-change was collected at 25m intervals and displayed both statistically and spatially allowing for areas of retreat/accretion to be identified at any given stretch of coastline.The DSAS software will produce the following rate-of-change statistics:Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.

1:250 000 Scale Colour Raster map base combines roads, railways and other key features to make this the ideal cartographic backdrop for overlaying business information.