34 datasets found
  1. e

    Baseline Definition

    • data.europa.eu
    csv, esri shape +4
    Updated Oct 13, 2024
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    OpenDataNI (2024). Baseline Definition [Dataset]. https://data.europa.eu/data/datasets/baseline-definition?locale=en
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    kml, html, geojson, json, esri shape, csvAvailable download formats
    Dataset updated
    Oct 13, 2024
    Dataset authored and provided by
    OpenDataNI
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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:

    1. Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.
    2. 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.
    3. End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.
    4. Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.
    5. 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.

  2. o

    1975 OS 27 10K - Dataset - Open Data NI

    • admin.opendatani.gov.uk
    Updated Oct 9, 2024
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    (2024). 1975 OS 27 10K - Dataset - Open Data NI [Dataset]. https://admin.opendatani.gov.uk/dataset/1975-os-27-10k
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    Dataset updated
    Oct 9, 2024
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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.

  3. w

    i-Trees Canopy Ward Data

    • data.wu.ac.at
    • data.europa.eu
    zip
    Updated Sep 26, 2015
    + more versions
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    London Datastore Archive (2015). i-Trees Canopy Ward Data [Dataset]. https://data.wu.ac.at/schema/datahub_io/NzVhYWY0NGItMjc2Yi00NjFlLWFjYzEtNjBiMzAxNTVkNDY5
    Explore at:
    zip(102091.0), zip(58732.0), zip(139269.0), zip(104474.0), zip(58418.0), zip(43334.0), zip(5483.0), zip(112818.0), zip(68634.0), zip(50945.0), zip(98274.0), zip(86727.0), zip(116735.0), zip(72111.0), zip(78046.0), zip(62441.0), zip(75614.0), zip(76804.0), zip(162825.0), zip(141432.0), zip(96185.0), zip(43522.0), zip(73932.0), zip(57215.0), zip(130885.0), zip(83810.0), zip(65119.0), zip(64003.0), zip(57203.0), zip(86908.0), zip(75921.0), zip(62271.0), zip(45994.0)Available download formats
    Dataset updated
    Sep 26, 2015
    Dataset provided by
    London Datastore Archive
    Description

    Ward boundaries for all London boroughs suitable for use in i-Trees Canopy tool.

    Based on Ordnance Survey Boundary-Line data available from the OpenData website. Data has been converted to latitude/longitude values (WGS84 geographic coordinate system) and saved in shapefile format, suitable for use on the i-Trees website.

    The i-Trees tool offers a quick and easy way to produce a statistically valid estimate of land cover types e.g. tree cover, using aerial images available in Google Maps. All that is required is an internet connection and a shapefile which defines your study area.

    We recommend using the boundary of your ward as a study area and this can be obtained by downloading the zip file for your Borough below. Each zip file contains individual shapefiles for every ward in that area. Each shapefile requires four different files in order to work correctly so please ensure these are all extracted from the zip file before trying to upload on the i-Trees website. For example the shapefile for Brockley ward in Lewisham consists of the following files:

    1. -Lewisham_Brockley.dbf
    2. -Lewisham_Brockley.prj
    3. -Lewisham_Brockley.shp
    4. -Lewisham_Brockley.shx
  4. e

    1967 OS 27 10K

    • data.europa.eu
    csv, esri shape +4
    Updated Dec 31, 2023
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    OpenDataNI (2023). 1967 OS 27 10K [Dataset]. https://data.europa.eu/data/datasets/1967-os-27-10k?locale=en
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    kml, html, csv, geojson, json, esri shapeAvailable download formats
    Dataset updated
    Dec 31, 2023
    Dataset authored and provided by
    OpenDataNI
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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:

    1. Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.
    2. 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.
    3. End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.
    4. Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.
    5. 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.

  5. w

    Rail Network

    • data.wu.ac.at
    json, zip
    Updated Aug 10, 2018
    + more versions
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    Ordnance Survey (2018). Rail Network [Dataset]. https://data.wu.ac.at/schema/data_glasgow_gov_uk/ZDRiMjc0NjUtYjc2Yy00MTMxLWExZmYtMzFkMDM4YjhmZGQw
    Explore at:
    json(206046.0), json(18261.0), zip(7142.0), zip(23528.0)Available download formats
    Dataset updated
    Aug 10, 2018
    Dataset provided by
    Ordnance Surveyhttps://os.uk/
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Rail network in Glasgow showing the rail stations and rail lines. To view or use these files, a compression software and GIS software like ESRI ArcGIS or QGIS is needed.

    Data extracted 2013-01-10T13:48:15

    Contains Ordnance Survey data © Crown Copyright and Database right (2018).

  6. c

    NLS Historic Maps API: Historical Maps of Great Britain

    • data.catchmentbasedapproach.org
    • hub.arcgis.com
    Updated Sep 19, 2017
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    klokantech (2017). NLS Historic Maps API: Historical Maps of Great Britain [Dataset]. https://data.catchmentbasedapproach.org/maps/131be1ff1498429eacf806f939807f20
    Explore at:
    Dataset updated
    Sep 19, 2017
    Dataset authored and provided by
    klokantech
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Description

    National Library of Scotland Historic Maps APIHistorical Maps of Great Britain for use in mashups and ArcGIS Onlinehttps://nls.tileserver.com/https://maps.nls.uk/projects/api/index.htmlThis seamless historic map can be:embedded in your own websiteused for research purposesused as a backdrop for your own markers or geographic dataused to create derivative work (such as OpenStreetMap) from it.The mapping is based on out-of-copyright Ordnance Survey maps, dating from the 1920s to the 1940s.The map can be directly opened in a web browser by opening the Internet address: https://nls.tileserver.com/The map is ready for natural zooming and panning with finger pinching and dragging.How to embed the historic map in your websiteThe easiest way of embedding the historical map in your website is to copy < paste this HTML code into your website page. Simple embedding (try: hello.html):You can automatically position the historic map to open at a particular place or postal address by appending the name as a "q" parameter - for example: ?q=edinburgh Embedding with a zoom to a place (try: placename.html):You can automatically position the historic map to open at particular latitude and longitude coordinates: ?lat=51.5&lng=0&zoom=11. There are many ways of obtaining geographic coordinates. Embedding with a zoom to coordinates (try: coordinates.html):The map can also automatically detect the geographic location of the visitor to display the place where you are right now, with ?q=auto Embedding with a zoom to coordinates (try: auto.html):How to use the map in a mashupThe historic map can be used as a background map for your own data. You can place markers on top of it, or implement any functionality you want. We have prepared a simple to use JavaScript API to access to map from the popular APIs like Google Maps API, Microsoft Bing SDK or open-source OpenLayers or KHTML. To use our map in your mashups based on these tools you should include our API in your webpage: ... ...

  7. G

    River Network

    • find.data.gov.scot
    zip
    Updated Aug 1, 2024
    + more versions
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    Glasgow City Council (uSmart) (2024). River Network [Dataset]. https://find.data.gov.scot/datasets/39501
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    zip(0.0188 MB), zip(0.0087 MB)Available download formats
    Dataset updated
    Aug 1, 2024
    Dataset provided by
    Glasgow City Council (uSmart)
    Description

    River network in Glasgow showing the river and coast lines. To view or use these files, a compression software and GIS software like ESRI ArcGIS or QGIS is needed. Data extracted 2013-10-15T14:30:45 Contains Ordnance Survey data (c) Crown Copyright 2013. Licence: None

  8. d

    National Monuments Service - Archaeological Survey of Ireland

    • datasalsa.com
    csv, feature service +2
    Updated Apr 7, 2024
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    Department of Housing, Local Government, and Heritage (2024). National Monuments Service - Archaeological Survey of Ireland [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=national-monuments-service-archaeological-survey-of-ireland
    Explore at:
    feature service, html, shp, csvAvailable download formats
    Dataset updated
    Apr 7, 2024
    Dataset authored and provided by
    Department of Housing, Local Government, and Heritage
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 29, 2025
    Area covered
    Ireland, Ireland
    Description

    National Monuments Service - Archaeological Survey of Ireland. Published by Department of Housing, Local Government, and Heritage. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This Archaeological Survey of Ireland dataset is published from the database of the National Monuments Service Sites and Monuments Record (SMR). This dataset also can be viewed and interrogated through the online Historic Environment Viewer: https://heritagedata.maps.arcgis.com/apps/webappviewer/index.html?id=0c9eb9575b544081b0d296436d8f60f8

    A Sites and Monuments Record (SMR) was issued for all counties in the State between 1984 and 1992. The SMR is a manual containing a numbered list of certain and possible monuments accompanied by 6-inch Ordnance Survey maps (at a reduced scale). The SMR formed the basis for issuing the Record of Monuments and Places (RMP) - the statutory list of recorded monuments established under Section 12 of the National Monuments (Amendment) Act 1994. The RMP was issued for each county between 1995 and 1998 in a similar format to the existing SMR. The RMP differs from the earlier lists in that, as defined in the Act, only monuments with known locations or places where there are believed to be monuments are included.

    The large Archaeological Survey of Ireland archive and supporting database are managed by the National Monuments Service and the records are continually updated and supplemented as additional monuments are discovered. On the Historic Environment viewer an area around each monument has been shaded, the scale of which varies with the class of monument. This area does not define the extent of the monument, nor does it define a buffer area beyond which ground disturbance should not take place – it merely identifies an area of land within which it is expected that the monument will be located. It is not a constraint area for screening – such must be set by the relevant authority who requires screening for their own purposes. This data has been released for download as Open Data under the DPER Open Data Strategy and is licensed for re-use under the Creative Commons Attribution 4.0 International licence. http://creativecommons.org/licenses/by/4.0

    Please note that the centre point of each record is not indicative of the geographic extent of the monument. The existing point centroids were digitised relative to the OSI 6-inch mapping and the move from this older IG-referenced series to the larger-scale ITM mapping will necessitate revisions. The accuracy of the derived ITM co-ordinates is limited to the OS 6-inch scale and errors may ensue should the user apply the co-ordinates to larger scale maps. Records that do not refer to 'monuments' are designated 'Redundant record' and are retained in the archive as they may relate to features that were once considered to be monuments but which on investigation proved otherwise. Redundant records may also refer to duplicate records or errors in the data structure of the Archaeological Survey of Ireland.

    This dataset is provided for re-use in a number of ways and the technical options are outlined below. For a live and current view of the data, please use the web services or the data extract tool in the Historic Environment Viewer. The National Monuments Service also provide an Open Data snapshot of its national dataset in CSV as a bulk data download. Users should consult the National Monument Service website https://www.archaeology.ie/ for further information and guidance on the National Monument Act(s) and the legal significance of this dataset.

    Open Data Bulk Data Downloads (version date: 23/08/2023)

    The Sites and Monuments Record (SMR) is provided as a national download in Comma Separated Value (CSV) format. This format can be easily integrated into a number of software clients for re-use and analysis. The Longitude and Latitude coordinates are also provided to aid its re-use in web mapping systems, however, the ITM easting/northings coordinates should be quoted for official purposes. ERSI Shapefiles of the SMR points and SMRZone polygons are also available The SMRZones represent an area around each monument, the scale of which varies with the class of monument. This area does not define the extent of the monument, nor does it define a buffer area beyond which ground disturbance should not take place – it merely identifies an area of land within which it is expected that the monument will be located. It is not a constraint area for screening – such must be set by the relevant authority who requires screening for their own purposes.

    GIS Web Service APIs (live views):

    For users with access to GIS software please note that the Archaeological Survey of Ireland data is also available spatial data web services. By accessing and consuming the web service users are deemed to have accepted the Terms and Conditions. The web services are available at the URL endpoints advertised below:

    SMR; https://services-eu1.arcgis.com/HyjXgkV6KGMSF3jt/arcgis/rest/services/SMROpenData/FeatureServer

    SMRZone; https://services-eu1.arcgis.com/HyjXgkV6KGMSF3jt/arcgis/rest/services/SMRZoneOpenData/FeatureServer

    Historic Environment Viewer - Query Tool

    The "Query" tool can alternatively be used to selectively filter and download the data represented in the Historic Environment Viewer. The instructions for using this tool in the Historic Environment Viewer are detailed in the associated Help file: https://www.archaeology.ie/sites/default/files/media/pdf/HEV_UserGuide_v01.pdf...

  9. g

    1974 OS 27 10K

    • gimi9.com
    Updated Jan 4, 2024
    + more versions
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    (2024). 1974 OS 27 10K [Dataset]. https://gimi9.com/dataset/uk_1974-os-27-10k
    Explore at:
    Dataset updated
    Jan 4, 2024
    Description

    🇬🇧 영국 English 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.

  10. G

    Woodland

    • dtechtive.com
    • find.data.gov.scot
    zip
    Updated May 24, 2024
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    Glasgow City Council (uSmart) (2024). Woodland [Dataset]. https://dtechtive.com/datasets/39596
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    zip(0.0051 MB)Available download formats
    Dataset updated
    May 24, 2024
    Dataset provided by
    Glasgow City Council (uSmart)
    Description

    Areas with woodland in Glasgow. To view or use these files, a compression software and GIS software like ESRI ArcGIS or QGIS is needed. Projected coordinate system is in British National grid. Data extracted 2013-10-16T13:28:05 Contains Ordnance Survey data (c) Crown Copyright 2013. Licence: None

  11. c

    Data from: Historic Parishes of England and Wales : an Electronic Map of...

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
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    Kain, R. J. P., University of Exeter; Oliver, R. R., University of Exeter (2024). Historic Parishes of England and Wales : an Electronic Map of Boundaries before 1850 with a Gazetteer and Metadata [Dataset]. http://doi.org/10.5255/UKDA-SN-4348-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Department of Geography
    Authors
    Kain, R. J. P., University of Exeter; Oliver, R. R., University of Exeter
    Time period covered
    Jan 1, 1998 - Jan 1, 2001
    Area covered
    England
    Variables measured
    Administrative units (geographical/political), National, Parishes
    Measurement technique
    Compilation or synthesis of existing material
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    This research project aimed to fill a major lacuna militating against the effective exploitation of many post-medieval to mid-Victorian historical sources collected by local administrative areas: the lack of information on the boundaries of those administrative areas, the so-called 'historic' or 'ancient' parishes of England and Wales. It is known that these districts came into being during the Middle Ages, that the map of these ecclesiastical parishes was essentially complete by the fifteenth century, that these ecclesiastical boundaries were adopted during the early modern period for secular and judicial purposes, and that boundaries remained essentially unchanged until a number of reforms from the mid-nineteenth century onwards reorganised the local administrative geography of the country. The project aimed to reconstruct those boundaries as they were before the post-nineteenth century changes.
    Main Topics:

    The digitised maps cover the whole of England and Wales, and are organised by Ordnance Survey Sheet number. The maps contain a scanned bitmap image of the Ordnance Survey one inch to one mile (1:63,360) New Popular Edition maps (1945-8) with National Grid. They contain the boundaries of some 18,233 places, and are arranged as three electronic 'layers'. The first is a scan of the Ordnance Survey maps stored as grey tone sheet images. This enables Ordnance Survey physical, cultural and place-name content to be readily visible in the background for orientation and general location purposes, while not obscuring the added boundary and reference number material. The second layer consists of the boundaries, stored as solid red lines; and the third layer contains the reference numbers that link places on the map to the gazetteer/metadata dataset that accompanies the maps.

    The maps are available on CD-ROM in Adobe Illustrator (ISBN:0-9540032-2-5) or Adobe Acrobat (ISBN:0-9540032-1-7) PDF formats. We recommend using the Adobe Illustrator format if you already have the software (as it enables you to edit the maps and select the layers to view). However, the Adobe Acrobat PDF format is perfectly suitable for viewing the maps, and we will supply the necessary reader software.

    An accompanying book Historic Parishes of England and Wales: An Electronic Map of Boundaries before 1850 with a Gazetteer and Metadata by Roger Kain and Richard Oliver (ISBN:0-9540032-0-9) provides an introduction to the provenance of the maps. It also includes an abbreviated version of the gazetteer/metadata dataset, and a discussion of historical boundaries.

    This unique combination publication is set to become a standard reference resource and is an invaluable tool for all those interested in plotting local area-based data from the past (population, agricultural, statistics, tax data etc.) from the fourteenth to the nineteenth centuries.

    Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.


  12. e

    2009 Ortho OSNI

    • data.europa.eu
    csv, esri shape +4
    Updated Dec 31, 2023
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    OpenDataNI (2023). 2009 Ortho OSNI [Dataset]. https://data.europa.eu/data/datasets/2009-ortho-osni?locale=en
    Explore at:
    geojson, json, kml, html, esri shape, csvAvailable download formats
    Dataset updated
    Dec 31, 2023
    Dataset authored and provided by
    OpenDataNI
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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:

    1. Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.
    2. 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.
    3. End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.
    4. Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.
    5. 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.

  13. G

    Road Network

    • dtechtive.com
    • find.data.gov.scot
    zip
    Updated Jul 16, 2024
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    Glasgow City Council (uSmart) (2024). Road Network [Dataset]. https://dtechtive.com/datasets/39749
    Explore at:
    zip(0.022 MB), zip(0.0057 MB), zip(0.0455 MB), zip(0.508 MB), zip(0.0108 MB), zip(0.0103 MB)Available download formats
    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Glasgow City Council (uSmart)
    Description

    Road Network in Glasgow categorized by type (A Roads, B Roads, Minor Roads and Motorway and Motorway junctions). To view or use these files, a compression software and GIS software like ESRI ArcGIS or QGIS is needed. Data extracted 2013-09-26T16:01:58 Contains Ordnance Survey data (c) Crown Copyright 2013. Licence: None

  14. a

    OS Open Greenspace

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jul 2, 2019
    + more versions
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    Ordnance Survey (2019). OS Open Greenspace [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/osonline::os-open-greenspace/about?layer=3
    Explore at:
    Dataset updated
    Jul 2, 2019
    Dataset authored and provided by
    Ordnance Surveyhttps://os.uk/
    Area covered
    Description

    Please note that this dataset is no longer maintained by Ordnance Survey. To access the latest OS Open Greenspace data please go to https://osdatahub.os.uk/.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. 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.FeedbackThink somewhere is missing from the data? Spot an inaccuracy in the attribution? Make us aware using the Error Reporting Tool on the OS DataHub! If you have any further questions about the product, or would like to get in contact with a member of our support team, please reach out via our website.Currency and update frequencyThe currency of the product is April 2022 and has a six-monthly update cycle (April and October).

  15. Z

    Identifying Hot Spots in Rural Community Resilience in Scotland - database

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jan 24, 2020
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    Elliot Meador (2020). Identifying Hot Spots in Rural Community Resilience in Scotland - database [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_3386197
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    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Michael Spencer
    Ruth Wilson
    Elliot Meador
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Scotland
    Description

    Database of nearest resilience infrastructure from each Scottish postcode, commissioned and funded by the National Centre for Resilience.

    Data are in geopackage format, which is curated by the open geospatial consortium. The data format can be read by GDAL, and hence all major analytical and spatial software (e.g. R, Python, QGIS). The database has two main tables:

    datazones - a spatial table of boundary polygons. Available from data.gov.uk under the open government licence.

    postcode_to_POI - a table of postcode to POI type distances with lookups for a range of administrative boundaries.

    An example query (in R) is shown in 10.5281/zenodo.3386179 to access data in the geopackage.

    The database was built using the following datasets:

    Ordnance Survey Open Roads

    Ordnance Survey Code-Point Open

    Ordnance Survey Points of Interest

    The following copyright licences apply to this dataset:

    © Crown Copyright and Database Right 2019. Ordnance Survey (Digimap Licence). This material includes data licensed from PointX Database Right/Copyright 2019. Contains NRS data © Crown copyright and database right 2019.

  16. g

    1900-1906 OS CS 3rd Ed

    • gimi9.com
    Updated Jan 4, 2024
    + more versions
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    (2024). 1900-1906 OS CS 3rd Ed [Dataset]. https://gimi9.com/dataset/uk_1900-1906-os-cs-3rd-ed
    Explore at:
    Dataset updated
    Jan 4, 2024
    Description

    🇬🇧 영국 English 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.

  17. Multibeam Bathymetry

    • data.wu.ac.at
    Updated Jul 26, 2018
    + more versions
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    Environment Agency (2018). Multibeam Bathymetry [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/NTJiM2E4MTMtNjljNi00YjZmLTg2ODQtZmQwYmRjNGFhNzFi
    Explore at:
    Dataset updated
    Jul 26, 2018
    Dataset provided by
    Environment Agencyhttps://www.gov.uk/ea
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    0718950bc741b02fdc9fea269fe7b0f86b1015c0
    Description

    Multibeam echo sounders, for Bathymetric survey, use sonar pulses to measure the distance between the survey vessel and the seabed. This instrument collects point data at a resolution of 25cm or better, depending on water depth, vessel speed and bed topography and produces a high resolution elevation dataset of the underwater terrain. The Environment Agency's Multibeam Bathymetric data archive includes digital elevation data derived from bathymetric surveys carried out by the Environment Agency for a range of applications and locations where surveys have been previously commissioned. Multibeam data is available at 50cm resolution and supplied as an ESRI ASCII Raster which contains height, relative to Ordnance Survey Newlyn datum. This is a technical spatial dataset and requires specialist geographic information system software to open and manipulate the data.

    To download data please visit the Open Data Portal: http://environment.data.gov.uk/ds/survey/index.jsp#/sur vey

    Data is available in 5km download zip files for each year of survey. Within each downloaded zip file are ASCII files aligned to the Ordinance Survey grid. The size of each tile is dependant upon the spatial resolution of the data. Elevation values are presented in metres.

    Catalogue shapefiles of data extent are available via the resource locator link below. The catalogue shapefiles contain metadata for each tile including the start and end date of a survey and spatial resolution of the dataset. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.

  18. e

    Net Shoreline Movement

    • data.europa.eu
    csv, esri shape +4
    Updated Dec 31, 2023
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    OpenDataNI (2023). Net Shoreline Movement [Dataset]. https://data.europa.eu/data/datasets/net-shoreline-movement?locale=en
    Explore at:
    geojson, esri shape, json, html, csv, kmlAvailable download formats
    Dataset updated
    Dec 31, 2023
    Dataset authored and provided by
    OpenDataNI
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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:

    1. Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.
    2. 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.
    3. End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.
    4. Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.
    5. 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.

  19. n

    Data from the Surface Water Ocean Topography (SWOT-UK) project.

    • data-search.nerc.ac.uk
    • edmed.seadatanet.org
    • +2more
    Updated May 27, 2021
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    (2021). Data from the Surface Water Ocean Topography (SWOT-UK) project. [Dataset]. https://data-search.nerc.ac.uk/geonetwork/srv/search?keyword=Geographical%20grid%20systems
    Explore at:
    Dataset updated
    May 27, 2021
    Area covered
    United Kingdom
    Description

    Satellite-derived data and data used for satellite data validation from the SWOT-UK project. Validation sea level elevation data are from tide gauges re-referenced to ETRS89 (WGS84) This data covers the Bristol Channel, Severn estuary and river Severn. The bulk of the data spans the period from the beginning of 2022 to the end of July 2023, but the data used for the validation of the Cryosat2 satellite goes back to 2012. These data came from the Environment Agency and National Network of Regional Coastal Monitoring Programmes (Channel Coastal Observatory) APIs, with three addition Global Navigation Satellite Systems Interferometric Reflectometry (GNSS-IR) systems installed by the project team. The data were transformed to ETRS89 (WGS84) Ellipsoid using a software utility provided by the Ordnance Survey, for comparison to satellite altimetry data. Stations measuring relative to chart or stage datum were corrected to ordnance datum before transformation to ETRS89 (WGS84). The data are supplied as water surface elevation (altitude) in metres, relative to ETRS89 (WGS84) Ellipsoid. These real-time in situ data have not been corrected for atmospheric pressure, to match the total water level measurements of the satellite.

  20. a

    Access Point

    • roadmap-to-climate-resilience-tep-thames.hub.arcgis.com
    • hub.arcgis.com
    Updated Jul 2, 2019
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    Ordnance Survey (2019). Access Point [Dataset]. https://roadmap-to-climate-resilience-tep-thames.hub.arcgis.com/datasets/osonline::access-point
    Explore at:
    Dataset updated
    Jul 2, 2019
    Dataset authored and provided by
    Ordnance Survey
    Area covered
    Description

    Please note that this dataset is no longer maintained by Ordnance Survey. To access the latest OS Open Greenspace data please go to https://osdatahub.os.uk/.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. 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.FeedbackThink somewhere is missing from the data? Spot an inaccuracy in the attribution? Make us aware using the Error Reporting Tool on the OS DataHub! If you have any further questions about the product, or would like to get in contact with a member of our support team, please reach out via our website.Currency and update frequencyThe currency of the product is April 2022 and has a six-monthly update cycle (April and October).

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OpenDataNI (2024). Baseline Definition [Dataset]. https://data.europa.eu/data/datasets/baseline-definition?locale=en

Baseline Definition

Explore at:
kml, html, geojson, json, esri shape, csvAvailable download formats
Dataset updated
Oct 13, 2024
Dataset authored and provided by
OpenDataNI
License

Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically

Description

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:

  1. Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.
  2. 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.
  3. End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.
  4. Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.
  5. 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.

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