AndreaBozzo/ceres-open-data-index huggingface dataset:
Northern Ireland Marine Protected Areas (MPAs)

<div style='text-align:Left; font-size:12pt;'><p style='margin:0 0 0 0;'></p><p style='margin:0cm; margin-bottom:.0001pt; background:white;'><span style='font-family:&quot;inherit&quot;,serif; color:#4C4C4C;'>This
layer consists of all Marine Protected Areas that are designated within
Northern Irelands Marine Plan extent. They include SAC, SPA, pSPA, Ramsar, MCZ
and ASSI with marine components in both inshore and offshore regions. 
Each layer was re-projected  from the respective projections to
WGS84 and then merged using ESRI ArcGIS data management tools. The
attribution also describes the MPAs Management Authority and provides a
hyperlink with more information regarding the protected features and management
of these areas where applicable or available.</span><span style='font-family:&quot;Arial&quot;,sans-serif; color:#4C4C4C;'></span></p>

<p style='margin:0cm; margin-bottom:.0001pt; background:white; font-variant-ligatures:normal; font-variant-caps:normal; text-decoration-style:initial; text-decoration-color:initial; word-spacing:0px;'><span style='font-family:&quot;inherit&quot;,serif; color:#4C4C4C;'>The designated features were extracted from NIEA Features
Database and DAERA websites and further information can be accessed here: </span><span style='font-family:&quot;Arial&quot;,sans-serif; color:#4C4C4C;'><a href='https://www.daera-ni.gov.uk/landing-pages/protected-areas' target='_blank'><span style='font-family:&quot;inherit&quot;,serif; color:#0079C1; text-decoration:none;'>https://www.daera-ni.gov.uk/landing-pages/protected-areas</span></a></span><span style='font-family:&quot;inherit&quot;,serif; color:#4C4C4C;'>. 
It should be noted that a review of bird species protected under ASSI
legislation is being undertaken by DAERA ornithologists and the species list
may change after this review. Dec 2020</span><span style='font-family:&quot;Arial&quot;,sans-serif; color:#4C4C4C;'></span></p><br /><p></p></div>

Tags: area-of-special-scientific-interest, assi, birds, conservation, designated-features, habitats, marine, marine-conservation-zone, marine-protected-area, mcz, mpa, proposed-special-protection-area, pspa, ramsar, sac, spa, special-area-of-protection, special-protection-area, species
Organization: Department of Agriculture, Environment and Rural Affairs
Bush Network Contribution

<div style='text-align:Left;'><div><div><p style='font-weight:bold;'><span><span>About this layer</span></span></p><p><span>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</span></p><p style='font-weight:bold;'><span>What can you do with the layer?</span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'>Visualisation: </span><span><span>This layer can be used for visualisation online in web maps.</span></span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'><span>Analysis: </span></span><span><span>This layer can be used in dashboards.</span></span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'><span>Download:</span></span><span> The data is downloadable.</span></p></div></div></div>

Tags: high-network-contribution, ni, northern-ireland, rivers, surface-flow, surface-water-connectivity, uk, united-kingdom
Organization: Department of Agriculture, Environment and Rural Affairs
River Blackwater Network Contribution

<div style='text-align:Left;'><div><div><p><span>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</span></p></div></div></div>

Tags: high-network-contribution, northern-ireland, rivers, surface-flow, surface-water-connectivity
Organization: Department of Agriculture, Environment and Rural Affairs
1997 AP

<div style='text-align:left;'><p style='font-size:12pt;'>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.</p><div style='text-align:left;'><p style='font-size:12pt;'>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.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>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</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics 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.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>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.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>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.</li></ol><p></p><p><span style='font-size:16px;'>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.</span></p></div></div></div>

Tags: 3d, analysis, coastal, historic, ireland, marine, northern, observatory, rates, shoreline-change, shorelines, survey
Organization: Department of Agriculture, Environment and Rural Affairs
Coastal Change Information Tool

<p>Ulster University were commissioned in September 2023 to produce a Coastal
Change Information Tool that explained observed shoreline change dynamics for
the entire Northern Ireland coastline.<br />
<br />
This tool has created 142 individual data points. Each information point
contains the following detail:<br /></p>

<ul>
 <li>A
     written description of the historic patterns of shoreline change observed,
     drawing on the findings from the Northern Ireland Historical Shoreline
     Analysis project.</li>
 <li>An
     interpretation of the reasons for the long-term changes observed. This
     was be made in light of both local information and the expertise of coastal geomorphologists within Ulster University. This also incorporated findings
     from the geological dataset supplied by the GSNI (if appropriate).</li>
 <li>Identification
     of features of particular importance to shoreline dynamics (e.g.
     particular sand reserves, coastal engineering works). An explanation of
     how anthropogenic activity has impacted the shoreline was also provided for
     applicable areas.</li>
 <li>A
     statement of possible future shoreline behaviour.  </li>
</ul>

<p><br />
The Coastal Change Information Tool makes use of the findings from the Northern
Ireland Historical Shoreline Analysis Project, along with the additional
coastal datasets collected by DAERA to contextualise how the Northern Ireland
coastline is changing. This tool has created a digital asset that will be
useful for coastal decision-making regarding, for example, planning decisions,
infrastructure planning, and coastal adaptation. It also identifies sites that have been historically susceptible to coastal change and as such will help inform climate change
adaptation, ensuring more sustainable coastal management.</p>

Tags: 3d, analysis, coastal, erosion, historic, marine, observatory, shoreline-change, survey
Organization: Department of Agriculture, Environment and Rural Affairs
Historic Shoreline Analysis

<div style='text-align:left;'><p style='font-size:12pt;'>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.</p><div style='text-align:left;'><p style='font-size:12pt;'>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.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>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</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics 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.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>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.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>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.</li></ol><p></p><p><span style='font-size:16px;'>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.</span></p></div></div></div>

Tags: 3d, analysis, coastal, historic, ireland, marine, northern, observatory, rates, shoreline-change, shorelines, survey
Organization: Department of Agriculture, Environment and Rural Affairs
Faughan Network Contribution

<div style='text-align:Left;'><div><div><p style='font-weight:bold;'><span><span>About this layer</span></span></p><p><span>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</span></p><p style='font-weight:bold;'><span>What can you do with the layer?</span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'>Visualisation: </span><span><span>This layer can be used for visualisation online in web maps.</span></span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'><span>Analysis: </span></span><span><span>This layer can be used in dashboards.</span></span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'><span>Download:</span></span><span> The data is downloadable.</span></p></div></div></div>

Tags: high-network-contribution, ni, northern-ireland, rivers, surface-flow, surface-water-connectivity, uk, united-kingdom
Organization: Department of Agriculture, Environment and Rural Affairs
Boundary

<div style='text-align:Left; font-size:12pt;'><p>In 2021 a high resolution (minimum 10 meters) satellite-derived bathymetry survey was complete for the full extent of the Northern Ireland marine area to a maximum depth of 8-11 meters. This was undertaken as part of the NI 3D Coastal Survey.</p><div style='text-align:Left; font-size:12pt;'><p>Images which were used date from 2012 but the majority were captured from 2018 onwards.  Data was acquired from two sources: </p><p>•	Sentinel 2 sensors which produces a 10m spatial resolution bathymetric grid and </p><p>•	Commercial satellite data, which allow for a higher 2m spatial resolution.
</p><div style='text-align:Left; font-size:12pt;'><p>This is the Digital Terrain Model that was created from the satellite-derived bathymetry dataset.</p><div style='text-align:Left; font-size:12pt;'></div></div></div></div>

Tags: 3d, bathymetry, coastal, derived, marine, observatory, satellite, survey
Organization: Department of Agriculture, Environment and Rural Affairs
2016 Ortho OSNI

<div style='text-align:left;'><p style='font-size:12pt;'>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.</p><div style='text-align:left;'><p style='font-size:12pt;'>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.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>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</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics 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.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>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.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>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.</li></ol><p></p><p><span style='font-size:16px;'>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.</span></p></div></div></div>

Tags: 3d, analysis, coastal, historic, ireland, marine, northern, observatory, rates, shoreline-change, shorelines, survey
Organization: Department of Agriculture, Environment and Rural Affairs
September 2022 - North Coast Post-Storm Recovery Survey - Digital Terrain Model

<div style='text-align:Left; font-size:12pt;'><p>Fugro were commissioned to undertake a post storm LiDAR survey of the soft sedimentary areas along the north coast of Northern Ireland in March 2022. This survey was to cover the following areas: Curran Strand, Portrush East Strand, Portstewart Strand and Downhill Beach to Magilligan.</p><div style='text-align:Left; font-size:12pt;'><p>This project was commissioned following the successive storm events during February and March 2022 (Storm Dudley, Storm Eunice and Storm Franklin) which did considerable damage to the sandy beaches along the North Coast. The objective of this survey was to ascertain change which has occurred along these soft sediment coastlines at the north coast since the baseline survey, which was acquired in 2021.</p><div style='text-align:Left; font-size:12pt;'><p>Data was provided in the same format as the topographic LiDAR data collected in the Northern Ireland 3-Dimensional Coastal Survey to allow changes between these two datasets to be ascertained.</p><div style='text-align:Left; font-size:12pt;'><p>Later in the year Fugro were commissioned to undertake a second LiDAR survey of the north coast from White Rocks to Magilligan in September 2022. The aim of this repeat survey was to ascertain the levels of recovery along the soft sediment coastlines since March 2022.</p><div style='text-align:Left; font-size:12pt;'><p>As with the initial survey undertaken by Fugro this topographic LiDAR survey collected data from the intertidal area to 10m inland for the same soft sediment areas along the north coast, with data being acquired at 0.5m resolution. The survey was quite restrictive when it could be flown: it had to be 2 hours either side of Low Water, during clear conditions below 6000ft, sun had to be at a suitable angle to capture imagery and as photography was being captured the survey could only be flown during day light hours. </p><div style='text-align:Left; font-size:12pt;'><p>All data collected was to be directly comparable with the data collected in the initial post storm Survey undertaken, as this would help us to understand and accurately quantify how our soft, sedimentary coastlines respond and recover from extreme storm events.</p><div style='text-align:Left; font-size:12pt;'><p>This is the Digital Terrain Model that was collected as part of the post-storm recovery survey.<br /></p></div></div></div></div></div></div></div>

Tags: 3d, coastal, digital-terrain-model, dtm, ireland, lidar, northern, observatory, post, recovery, storm
Organization: Department of Agriculture, Environment and Rural Affairs
Strule Network Contribution

<div style='text-align:Left;'><div><div><p style='font-weight:bold;'><span><span>About this layer</span></span></p><p><span>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</span></p><p style='font-weight:bold;'><span>What can you do with the layer?</span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'>Visualisation: </span><span><span>This layer can be used for visualisation online in web maps.</span></span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'><span>Analysis: </span></span><span><span>This layer can be used in dashboards.</span></span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'><span>Download:</span></span><span> The data is downloadable.</span></p></div></div></div>

Tags: high-network-contribution, ni, northern-ireland, rivers, surface-flow, surface-water-connectivity, uk, united-kingdom
Organization: Department of Agriculture, Environment and Rural Affairs
Probes

<p>The field probe has been deployed by NIEA’s Freshwater Monitoring and Assessment team as part of a long term, high frequency water quality monitoring project. It records Dissolved Oxygen (%Saturation) and temperature (°C) at the foot of the Blackwater River&nbsp;at Maghery.</p><p>Data is recorded every 30 minutes and loaded onto the public platform approximately every 30 days.</p><p><strong>Please note:&nbsp;</strong>Data is non-validated and should therefore be treated as provisional and may be subject to revisions.&nbsp; Many factors can affect the reliability of real time data, including environmental changes and sensor malfunction.</p><p><strong>Disclaimer</strong> - All materials and information are provided “AS IS”. Please seek and follow professional advice relating to Lough Neagh and its tributaries. Further details of the DAERA disclaimer can be found <a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://www.daera-ni.gov.uk/articles/terms-and-conditions-daera#toc-5' rel='nofollow ugc noopener noreferrer'>here.</a></p><p>The probe has an optical DO sensor and a temperature sensor. The logger collects measurements of dissolved oxygen with an accuracy of +/- 5% and temperature to +/- 0.1 degrees C. Temperature range is 0 to 35 degrees C with an accuracy of +/- 0.1 degrees C. Oxygen range is 0 to 150% saturation.</p><p><strong>Maintenance:&nbsp;</strong>Probe maintenance and download occur monthly.</p><p><strong>Point of Contact:</strong>&nbsp;<a href='mailto:waterinfo@daera-ni.gov.uk' target='_blank' rel='nofollow ugc noopener noreferrer'>waterinfo@daera-ni.gov.uk</a></p><p><strong>Please Note:</strong>&nbsp;Date format in the download is month, day and year.</p>

Tags: blackwater-river, c_, degrees-celsius, dissolved-oxygen, do, fma, freshwater-monitoring-and-assessment, high-frequency-monitoring, niea, percentage, river, saturation, temperature, water-quality
Organization: Department of Agriculture, Environment and Rural Affairs