AndreaBozzo/ceres-open-data-index huggingface dataset:
1962 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: OpenDataNI
Boundary

<div style='text-align:Left; font-size:12pt;'><p>In 2021, a complete airborne LiDAR survey of the Northern Ireland coastline was commissioned as part of the NI 3D Coastal Survey, providing precise and accurate data of the current coastal morphology.</p><div style='text-align:Left; font-size:12pt;'><p>The survey included the intertidal area and extended approximately 200 meters landward of the high-water mark.</p><div style='text-align:Left; font-size:12pt;'><p>This is the Digital Surface Model derived from the LiDAR data collected.<br /></p></div></div></div></div></div></div></div>

Tags: 3d, coastal, digital-surface-model, dsm, ireland, marine, northern, observatory, survey, terrain
Organization: OpenDataNI
RiverWaterQualityMonitoring 1990to2024 BiochemicalOxygenDemand

<div style='text-align:Left;'><div><div style='font-size:12pt'><p><span>This dataset comes from the NIEA water quality database and contains data from 1990 to 2024.  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 the first in a series of water datasets being made available as Open Data. Other 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 physio-chemical and chemical parameters are included in the dataset:</span></p><p><span>BOD (mg/l) - Biochemical oxygen Demand</span></p></div></div></div>

Tags: biochemical-oxygen-demand, chemistry, daera, fdi, freshwater-data-insights, niea, river-water-quality, water, water-science-and-evidence, wse
Organization: OpenDataNI
Trasencts Definition

<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
March 2022 - North Coast Post-Storm 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>This is the Digital Terrain Model created from the post-storm LiDAR data.<br /></p></div></div></div></div>

Tags: 3d, coastal, digital-terrain-model, dtm, ireland, lidar, northern, observatory, post, storm
Organization: OpenDataNI
Burn Dennet and Foyle 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
River Water Quality Monitoring 1990 to 2024 - Dissolved Copper

<div style='text-align:Left;'><div><div><div style='font-size:12pt'><p><span>This dataset comes from the NIEA water quality database and contains data from 1990 to 2024.  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 the first in a series of water datasets being made available as Open Data. Other 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 physio-chemical and chemical parameters are included in the dataset:</span></p><p><span>D_Cu (ug/l) - Copper, Dissolved</span></p></div></div></div></div>

Tags: chemistry, copper, daera, fdi, freshwater-data-insights, niea, river-water-quality, water, water-science-and-evidence, wse
Organization: OpenDataNI
1967 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
Image

<div style='text-align:Left; font-size:12pt;'><p>A pilot bathymetric LiDAR survey was commissioned in 2021 as part of the NI 3D Coastal Survey. This mapped the nearshore areas of Dundrum Bay and areas of Carlingford Lough. Natural Colour Orthophotography was captured simultaneously.</div></p>

Tags: 3d, coastal, marine, observatory, ortho, orthophotography, survey
Organization: OpenDataNI
1830-1834 OS CS 1st Ed

<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
RiverWaterQualityMonitoring 1990to2024 DissolvedOxygen

<div style='text-align:Left;'><div><div><div style='font-size:12pt'><p><span>This dataset comes from the NIEA water quality database and contains data from 1990 to 2024.  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 the first in a series of water datasets being made available as Open Data. Other 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 physio-chemical and chemical parameters are included in the dataset:</span></p><p><span>NO3-N (mg/l) - Nitrate</span></p></div></div></div></div>

Tags: chemistry, daera, fdi, freshwater-data-insights, niea, nitrate, nitrite, nitrogen, river-water-quality, water, water-science-and-evidence, wse
Organization: OpenDataNI
WFD River and Lake Monitoring Sites 2nd Cycle

<div style='text-align: left;'><div><div><p><span><span><span>River and lake monitoring sites used for <span><span><span></span>The Water Environment (Water Framework Directive) Regulations (Northern Ireland) 2017</span></span> classification purposes. </span></span></span></p><p><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 are implemented in Northern Ireland. The legislation defines 6 year cycles of monitoring and action to improve or maintain environmental water quality standards.</span></span></p><p><span>The Attribute table includes the years a site was used for classification purposes. This layer updates previous versions based on the 2nd cycle 2016 submission to the European Union EEA (European Environment Agency). Each monitoring site is displayed as a fixed point based on handheld gps units used to conduct sites surveys. Accuracy based on handheld units is &lt;10m.</span></p><p><span></span></p><p><span></span></p></div></div></div>

Tags: daera, lakes, monitoring-sites, niea, rivers, science, surface-waters, water, water-framework-directive, wfd
Organization: OpenDataNI