Definition Extract of Ordnance Survey's Code-Point® Open product filtered for London Borough of Barnet coverage. Data has been processed from the .csv schema filtering on the administrative district code, with administrative district and ward names appended for ease of use Postcodes do not have an exact match to administrative boundaries, see the Ordnance Survey product support page for full definition. Purpose These datasets have been created as general resource for the council. The information is sourced from Ordnance Survey Open Data products and may be used more widely subject to the Open Government Licence (v3). Disclaimer This dataset is not the primary source and may not reflect the latest version or scope of the original product. You should assess whether using the original product directly is more appropriate for your purpose. Acknowledgements Contains OS data © Crown copyright and database right 2025 Contains Royal Mail data © Royal Mail copyright and Database right 2025 Contains National Statistics data © Crown copyright and database right 2025

September 2017 OS Code-Point Open for Greater London and London boroughs are downloadable via the links below. OS Code-Point Open provides a National Grid coodinate for a point within each postcode unit (e.g. SE1 2AA) in Great Britain.There are approximately 1.6 million postcode units in the UK and each contains an average of 15 adjoining addresses. It also contains a number of columns of attributes which provide information about each postcode unit, including local authority area codes down to ward level and National Health Service. The geographic extent of the Code-Point dataset below has been limited to the Greater London area as well as extracts for the City of London and the 32 London boroughs individually. In addition to conventional CSV file format, the dataset is also available as ESRI shapefile format (.shp) for ease of use with Geographical Information Systems (GIS) for visualisation and further analysis. Key attributes: postcode unit, easting, northing, NHS health authority code and administrative codes Coverage: Greater London and 33 individual London borough. Format: Comma separated values (.csv) & Esri shapefile (.shp) External link: https://www.ordnancesurvey.co.uk/business-and-government/products/code-point-open.html

This resource shows all Open datasets available on Lincolnshire Open Data. All the Open datasets are listed with some brief key details about them (such as update schedule and licensing). Open datasets are available using the Search tools on the site. The datasets are also shown in themed Groups (see Groups link at the top of the webpage). Open datasets also have Tags (relevant words) that can be clicked to show datasets with that Tag. The Open Datasets register shows the latest information at the time of publication, and is updated monthly. For any enquiries please contact the Open Data team at opendata@lincolnshire.gov.uk .

The UK daily weather observation data contain meteorological values measured on a 24 hour time scale. The measurements of sunshine duration, concrete state, snow depth, fresh snow depth, and days of snow, hail, thunder and gail were attained by observation stations operated by the Met Office across the UK operated and transmitted within DLY3208, NCM, AWSDLY and SYNOP messages. The data span from 1887 to 2023. For details of observations see the relevant sections of the MIDAS User Guide linked from this record for the various message types.

This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2023.

This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily weather observations within the full MIDAS collection.

The UK daily rainfall data contain rainfall accumulation and precipitation amounts over a 24 hour period. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2023. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details.

This version supersedes the previous version (202308) of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2023.

This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset. Currently this represents approximately 13% of available daily rainfall observations within the full MIDAS collection.

The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2019. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record.

This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. Of particular note, however, is that as well as including data for 2019, historical data recovery has added temperature and weather data for Bude (1937-1958), Teignmouth (1912-1930), and Eskdalemuir (1915-1948).

This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection.

Covering a range of greenspaces in urban and rural areas including playing fields, sports’ facilities, play areas and allotments.What OS Open Greenspace provides you withComprehensive Open dataset of greenspaceFinding greenspaces has never been easier. Britain’s most comprehensive Open dataset of greenspace provides the foundation for you to help create greener and healthier communities.Understand locations and access pointsUnderstand the location of public parks, playing fields, sports facilities, play areas and allotments, along with access points for entering and exiting urban and rural greenspaces.Green communitiesBritain’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.Planning for healthIncorporated 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.Vital in emergenciesA vital tool in helping our emergency services, OS Open Greenspace includes site use and access points, making it quicker to get to emergency situations.

Parkinson's disease (PD) is a neurodegenerative disorder characterised by motor symptoms, such as gait dysfunction and postural instability. Technological tools to continuously monitor outcomes could capture the hour-by-hour symptom fluctuations of PD. Development of such tools is hampered by the lack of labelled datasets from home settings. To this end, we propose REMAP, a human rater-labelled dataset of REal-world Mobility Activities in Parkinson's disease including people with and without PD doing sit-to-stand transitions and turns in gait while living in a home setting. These discrete activities are captured from free-living (unobserved, unstructured) and during clinical assessments. The PD participants withheld their dopaminergic medications for a time (causing increased symptoms), so their events are labelled as being “on” or “off” medications. We include skeleton pose camera data. We present this open dataset, where the skeleton pose data is coarsened for anonymisation. We illustrate use-case code measuring sit-to-stand duration, tested on both coarsened and refined data. This is a sister dataset so our controlled dataset (available on application) where there is more refined skeleton pose data and accelerometry.

Annual data on internet usage in Great Britain, including frequency of internet use, internet activities and internet purchasing.

Crime Survey for England and Wales (CSEW) estimates, by each combination of offence group, age, sex, and important demographic or household characteristics.

The BrisT1D Dataset features the data collected in a longitudinal study in which 24 young adults with Type 1 Diabetes (T1D) in the UK were given smartwatches to use alongside their T1D self-management. During the six-month study, participants donated the data collected by their T1D devices and smartwatches and were involved in monthly interviews or focus groups. The anonymised transcripts of these study sessions are included along with the device data, in both an anonymised raw state and a processed state. This is the Open-Access part of the BrisT1D Dataset. It includes the processed state device data, study forms, transcripts, and demographic data. The raw state device data can be found in the BrisT1D-Restricted Dataset (https://doi.org/10.5523/bris.yonrplcb4bvi2vhhn2ehtmpey), available through data.bris (University of Bristol Data Repository) under Restricted Access. Complete download (zip, 150.3 MiB)

This street listing contains the name and Irish Grid coordinates for all streets in Northern Ireland. Published here for Open Data. By download or use of this dataset you agree to abide by the LPS Open Government Data Licence.Please Note for Open Data NI Users: Esri Rest API is not Broken, it will not open on its own in a Web Browser but can be copied and used in Desktop and Webmaps