AndreaBozzo/ceres-open-data-index huggingface dataset:
1983 OS 27 10K

<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: OpenDataNI
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: OpenDataNI
2021 NI 3D Coastal Survey - Pilot Bathymetric LiDAR Survey - LiDAR Point Cloud

<div style='text-align:Left; font-size:12pt;'><p>A pilot bathymetric LiDAR survey was commissioned in 2021 which mapped the nearshore areas of Dundrum Bay and areas of Carlingford Lough.</p><div style='text-align:Left; font-size:12pt;'><p>For the pilot bathymetric survey a Rapid Airborne Multi-bean Mapping System (RAMMS) operated at approximately 25000 range observations per second, while achieving 3-Secchi disk depth penetration. Where possible data was collected to depths of 10m, however, RAMMS is capable of capturing high resolution data to depths of three times the visual water clarity.</p><div style='text-align:Left; font-size:12pt;'><p>This is the LiDAR Point Cloud created from the LiDAR data.</p><div style='text-align:Left; font-size:12pt;'></div></div></div></div>

Tags: 3d, coastal, lidar, marine, observatory, survey
Organization: OpenDataNI
Water Framework Directive 2nd Cycle Interim Status

<div style='text-align: left;'><div><div><p><span>This file contains the 2018 overall surface water body status, reported to Europe as a 2nd Cycle  interim classification for Water Framework Directive in 2018. </span><span>It </span><span>contains the following surface water bodies (river, lakes, coastal and transitional </span><span><span>waters</span><span>) A 2018 classification was not undertaken for groundwater or superficial groundwater.</span></span></p><p><span><span><span>The European Water Framework Directive was transposed to national legislation through the Water Environment (Water Framework Directive) Regulations (Northern Ireland) 2017 which required data reporting to Europe. The Water (Amendment) (Northern Ireland) (EU Exit) Regulations 2019 ensures that the Water Framework Directive (WFD) (as transposed) and the various supporting pieces of water legislation are implemented in Northern Ireland without a requirement to report data to Europe. </span></span></span></p><p><span><span><span>The legislation defines 6 year cycles of monitoring and action to improve or maintain environmental water quality standards.</span></span></span></p></div></div></div>

Tags: classifications, daera, interim-status, niea, northern-ireland, status, surface-waters, water, water-framework-directive, wfd
Organization: OpenDataNI
Abstraction Licensing

<div style='text-align: left;'><div><div><span><span><div><p><span style='font-weight: bold;'>About this layer:</span></p><p><span><span><span>In Northern Ireland water abstraction and impoundment is controlled by The Water Abstraction and Impoundment (Licensing) Regulations (Northern Ireland 2006, as amended by The Water Abstraction and Impoundment (Licensing) (Amendment) Regulations. (Northern Ireland) 2007. The regulations apply to all groundwater and surface water abstractions that abstract more than 10m3 per day. Abstractions less than this are Permitted Controlled Activities and are automatically authorised by NIEA. </span></span></span></p><div><div><p><span style='font-weight: bold;'>What can you do with the layer?</span></p><p><span>Visualisation: This layer can be used for visualisation online in web maps. </span></p><p><span>Analysis: This layer can be used in dashboards. </span></p><p><span>Download: The data is downloadable. </span></p></div></div></div></span></span></div></div></div>

Tags: abstraction, abstraction-licensing, ni, niea, northern-ireland, northern-ireland-environment-agency, the-water-abstraction-and-impoundment-licensing-regulations, uk, united-kingdom
Organization: OpenDataNI
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: OpenDataNI
RiverWaterQualityMonitoring 1990to2024 DissolvedOxygen

<div style='text-align:Left;font-size:12pt'><div><div><p><span>This dataset comprises water quality data from the NIEA water quality database from 1st January 1990 to 31st December 2024.  </span></p><p><span>Note that the dataset may contain results which are erroneous due to typos, sampling error or contamination.  Such data points are usually several orders of magnitude above expected values.  This is one of a series of water datasets being made available as Open Data. Other NIEA datasets remain available on request via waterinfo@daera-ni.gov.uk</span></p><p><span>The European Water Framework Directive (2000/60/EC) has been transposed into Northern Ireland Regulations through The Water Environment (Water Framework Directive) Regulations (Northern Ireland) 2017. </span><span> The Water (Amendment) (Northern Ireland) (EU Exit) Regulations 2019 ensures that the Water Framework Directive (WFD) (as transposed) and the various supporting pieces of water legislation continue to operate here after 1 January 2021.  </span><span>The regulations encourage the active involvement of interested parties and the general public.</span><span> The regulations set out the requirement to achieve 'Good Ecological Status' and 'Good Chemical Status' for all ground and surface waters (rivers, lakes, transitional waters, and coastal waters) within Northern Ireland.</span></p><p><span>Surface waters are assessed according to the following criteria:</span><span> biological quality (fish, invertebrates, flora), hydromorphological, physico-chemical properties like temperature, oxygenation and nutrient conditions, chemical quality assessed against environmental quality standards for specific pollutants and priority substances.</span></p><p><span>The following physico-chemical and chemical parameters are included in the dataset:</span></p><p><span>ALK (mg/l) - Alkalinity</span></p><p><span>BOD (mg/l) - Biochemical oxygen Demand</span></p><p><span>COND (uS/cm) - Conductivity</span></p><p><span>D_Cu (ug/l) - Copper, Dissolved</span></p><p><span>D_FE (mg/l) - Iron, Dissolved</span></p><p><span>DO (mg/l) - Dissolved Oxygen</span></p><p><span>NH4-N (mg/l) - Ammonia</span></p><p><span>NO3-N (mg/l) - Nitrate</span></p><p><span>NO2-N (mg/l) - Nitrite</span></p><p><span>P(SOL) (mg/l) - Phosphorus, Soluble Reactive (SRP)</span></p><p><span>PH - pH Value</span></p><p><span>SS (mg/l) - Suspended solids</span></p><p><span>ZN SOL (ug/l) - Zinc, Dissolved</span></p></div></div></div>

Tags: alkalinity, ammonia, biochemical-oxygen-demand, chemistry, conductivity, copper, daera, fdi, freshwater-data-insights, iron, niea, nitrate, nitrite, oxygen, ph, phosphorus, river-water-quality, suspended-solids, water, water-science-and-evidence, wse, zinc
Organization: OpenDataNI
Fault or fracture trace

<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: OpenDataNI
South Down 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: OpenDataNI
Fold Axial Plane Trace

<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: OpenDataNI
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: OpenDataNI
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: OpenDataNI
Priority Habitats - Grassland

<div style='text-align:Left;'><div><div><p style='margin:0 0 14 0;'><span>About this layer</span></p><p style='margin:0 0 14 0;'><span>The Grassland Inventory incorporates evidence collected from a series of research contracts let to identify and survey areas of grassland of high nature conservation value. </span></p><p style='margin:0 0 14 0;'><span>This data represents NIEA surveys and may not represent the entire extent of habitat or species across Northern Ireland</span></p><p style='margin:0 0 14 0;'><span /><span><span>The research focused on identifying grassland habitats that are a priority within the Northern Ireland biodiversity strategy and also those identified as being of particular importance within Annex 1 of the Habitats Directive. The research methodology used well established survey techniques to identify high nature conservation value grasslands from high incidence study areas throughout Northern Ireland.</span></span></p><p style='margin:0 0 14 0;'><span><span>Data Sources:</span></span></p><p style='margin:0 0 14 0;'><span><span>Habitat Survey Team, Conservation Science:  1985 - 2014</span></span></p><p style='margin:0 0 14 0;'><span><span>University of Ulster:  1999</span></span></p><p style='margin:0 0 14 0;'><span><span>ADAS:  2000 - 2005</span></span></p><p style='margin:0 0 14 0;'><span><span>Allen &amp; Mellon Environmental:  2005 - 2007</span></span></p><p style='margin:0 0 14 0;'><span><span>What can you do with the layer?</span></span></p><p style='margin:0 0 14 0;'><span><span>Visualisation: This layer can be used for visualisation online in web maps.</span></span></p><p style='margin:0 0 14 0;'><span><span>Analysis: This layer can be used in dashboards.</span></span></p><p style='margin:0 0 14 0;'><span><span>Download: The data is downloadable.</span></span></p></div></div></div>

Tags: calcareous-grassland, lowland-acid-grassland, lowland-meadow, natural-environment-division, ni, northern-ireland, northern-ireland-environment-agency, priority-habitats, purple-moor-grass-and-rush-pastures, uk, united-kingdom
Organization: OpenDataNI
Boundary

<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 caused 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>This is the Natural Colour Orthophotography dataset that was captured as part of the survey.</p></div></div></div></div>

Tags: 3d, coastal, ireland, lidar, marine, northern, observatory, orthophotography, post, storm
Organization: OpenDataNI
1972 OS 27 10K

<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: OpenDataNI