AndreaBozzo/ceres-open-data-index huggingface dataset:
2019 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
2020 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
2021 NI Coastal Survey

<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
Six Mile Water 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
September 2022 - North Coast Post-Storm Recovery Survey - Digital Surface 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 Surface 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-surface-model, dsm, ireland, lidar, northern, observatory, post, recovery, storm
Organization: Department of Agriculture, Environment and Rural Affairs
Strangford 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
Linear Bedrock Intrusive

<div style='text-align:Left; font-size:12pt;'><p>The Geological Survey of Northern Ireland (GSNI) was commissioned to produce a Northern Ireland wide coastal geological dataset, detailing the bedrock geology.</p><div style='text-align:Left; font-size:12pt;'><p>GSNI used the 1;10,000 digital bedrock geology map to create a coastal dataset which extends inland 200 meters and out to a seaward depth of approx. 10 metres, matching the extend of the Northern Ireland 3-Dimensional Coastal Survey. This involved refinement of the existing 1;10,000 map where signification coastal change has occurred since the original survey. Where gaps existed, unpublished datasets were used.</p><div style='text-align:Left; font-size:12pt;'></div></div></div>

Tags: 3d, bedrock, coastal, geology, ireland, marine, northern, observatory, survey
Organization: Department of Agriculture, Environment and Rural Affairs
NI Marine Protected Area (MPA) Feature Condition 2023

<div style='text-align:Left;'><div><div><p style='margin:0 0 11;'><span>About this layer:</span></p><p style='margin:0 0 11;'><span>This layer consists of all Marine Protected Areas that are designated within Northern Ireland’s marine area and include SAC, SPA, pSPA, Ramsar, MCZ and ASSI with marine components in both inshore and offshore regions. All polygons were re-projected from their respective projections to WGS84 then merged into a single layer using ArcGIS geoprocessing tools. Additional attribution was added to include information at each MPA of the following:</span></p><p style='margin:0 0 11;'><span>Designated Features - Features identified for protection, the condition of these features and the Year condition was assessed.</span></p><p style='margin:0 0 11;'><span>Management authority- responsible for the monitoring and management of the site</span></p><p style='margin:0 0 11;'><span>Inshore &amp; Offshore - Yes/No, some MPAs may have boundaries that span both areas.</span></p><p style='margin:0 0 11;'><span>Area - km2</span></p><p style='margin:0 0 11;'>More Information&nbsp;</p><p style='margin:0 0 11;'><span>The designated features were extracted from DAERA Features Database, the authoritative source of protected features. 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 2023</span></p><p style='margin:0 0 11;'><span>What can you do with this layer?</span></p><p style='margin:0 0 11;'><span>Visualisation: This layer can be used for visualisation online in web maps.</span></p><p style='margin:0 0 11;'><span>Analysis: This layer can be used in Dashboards</span></p><p style='margin:0 0 11;'><span>Download: The data is downloadable.</span></p><p style='margin:0 0 11;'>&nbsp;</p><p>&nbsp;</p></div></div></div>

Tags: area-of-special-scientific-interest, assi, daera, designated-features, marine, marine-conservation-zone, marine-protected-area, mcz, mpa, ni, northern-ireland, proposed-special-protection-area, pspa, ramsar, sac, spa, special-area-of-protection, special-protection-area, uk, united-kingdom
Organization: Department of Agriculture, Environment and Rural Affairs
Pollution Incidents 2011 to 2024

<p>A polygon layer depicting the 1km squares within NI that contain one or more confirmed reports of pollution between 2011 and 2024.</p><p>The purpose of the dataset is to assist with information searches on the <a target='_blank' href='https://gis.daera-ni.gov.uk/arcgis/apps/experiencebuilder/experience/?id=c26ccd076fcc493e86ac20f635f3037d' rel='nofollow ugc noopener noreferrer'>NIEA Water Information Request viewer</a></p><p>The layer is the product of a spatial join between the pollution incidents point layer (Pollution Incidents 2011 to 2024) and the NI 1km grid layer, which anonymises the data.</p><p>The pollution incidents occur in and around NI watercourses 2011 - 2024.</p><p>The attribute table contains information regarding pollution source, pollution category, pollution severity and year.</p><p>The data was provided by WMU Emergency Pollution team, and taken from Pollution Incident Management System (PIMS) database.</p><p>This dataset was compiled as part of the annual update of pollution incidents for the NIEA Water Information Request Viewer. It combines all previous versions of pollution incident datasets on the viewer.</p>

Tags: daera, niea, northern-ireland, northern-ireland-environment-agency, pollution, pollution-incidents, uk, water-quality
Organization: Department of Agriculture, Environment and Rural Affairs
River and Lake Monitoring Points 2024

<div style='text-align:Left;'><div><div><p><span>This is an update of the previous dataset which displayed </span><span style='background-color:rgb(255,255,255); color:rgb(20,20,20); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>river and lake monitoring sites used in 2016 classification, Northern Ireland</span></span></p><p><span>This updated dataset contains freshwater sites only. Marine sites were removed and historical survey points with no associated data were deleted.</span></p><p><span>Updated November 2024</span></p></div></div></div>

Tags: classification, closed, freshwater, lakes, monitoring-points, ni, open, rivers, surface-water, wfd
Organization: Department of Agriculture, Environment and Rural Affairs
Probe Metrics

<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.&nbsp; It records Dissolved Oxygen (%Saturation) and temperature (°C) in the Six Mile River downstream of Castle Farm Bridge, Antrim.</p><p>Data is recorded every 30 minutes and loaded on to 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 style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; margin-bottom:1.5rem; margin-top:0px;'><strong>Maintenance:&nbsp;</strong>Probe maintenance and download occur monthly.</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; margin-bottom:1.5rem; margin-top:0px;'><strong>Point of Contact:</strong>&nbsp;<a style='color:rgb(0, 97, 155); font-family:inherit; text-decoration-line:none;' href='mailto:waterinfo@daera-ni.gov.uk' target='_blank' rel='nofollow ugc noopener noreferrer'>waterinfo@daera-ni.gov.uk</a></p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; margin-bottom:1.5rem; margin-top:0px;'><strong>Please Note:</strong>&nbsp;Date format in the download is month, day and year.</p>

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