AndreaBozzo/ceres-open-data-index huggingface dataset:
Image

<div style='text-align:Left; font-size:12pt;'><p>Orthophotography is aerial imagery that has been geometrically corrected. An orthophoto is an image that is free of distortion, and which is characterised by a uniform scale over its entire surface - it has been ortho-rectified. </p><div>Orthophotography was captured as part of the 2021 NI 3D Coastal Survey. Coverage extends across the entire Northern Ireland coastline, including the intertidal area, and extending approximately 200 meters landward of the high water mark. </div><div><br /></div><div>Colour Infrared <span style='font-size:15px;'>orthophotography </span>imagery was captured with a 10cm resolution. </div></div>

Tags: 3d, coastal, marine, observatory, ortho, orthophotography, survey
Organization: OpenDataNI
Belfast Lough 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
1980 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
RiverWaterQualityMonitoring 1990to2024 Nitrogen NO3N

<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
1970 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
Agricultural Critical Risk Areas

<div style='text-align: left;'><div><div><p><span>The agricultural risk map is based on activity classed as arable horticulture or improved grassland by the CEH land cover map 2007, which is carried out on land parcels scored against a matrix of risk factors and the 2015 status of WFD enrichment indicators. These risk factors have the potential to contribute to in-stream biological, chemical and physiochemical impact. The land cover classes arable horticulture and improved grassland together delineate the boundary areas of intensive agriculture and constrain the area for relative risk assessment. They also contribute to the risk factor scores with a distinction made between their relative risks.</span></p><p><span>A modelling application SciMAP was applied with a 5m DTM to produce sediment source and deposition areas as well as identifying significant hydrological links to the river network.</span></p><p><span>Each risk factor has been assigned a relative weighting from 0 – 1 dependant on its contribution to the overall risk (expert judgement/advice and literature review). These weightings have been used as multipliers for a three category risk index, 1 - 3 relating to banding of risk factor variables into increasing risk. The scores are then totalled to provide an overall risk for each land parcel. These can also be filtered on hydrological significance.</span></p><p><span>Risk categories boundaries are determined by selecting +/- 1 standard deviation of the distribution of the scores. This provides a statistical basis for the low, medium and high risk category limits. Further categories can be created by increasing or relaxing the standard deviation applied. The extent of the area included in each category is dependent on the stringency of the standard deviation applied.</span></p><p><span>CEH landcover 2007 and Met Office rainfall data used in the model.</span></p></div></div></div>

Tags: agricultural-land-risk, daera, niea, northern-ireland-environment-agency, science, soil-risk-model, surface-runoff-risk, water
Organization: OpenDataNI
Coastal Cell Limits

<div style='text-align:Left; font-size:12pt;'><p>DAERA commissioned Ulster University to undertake a
Historical Shoreline Analysis project of the Northern Ireland coastline.</p><div style='text-align:Left; font-size:12pt;'><p>A key requirement of the Historical Shoreline Analysis Project was to delineate first order coastal cell boundaries for the entire Northern Ireland coastline. Coastal cells are paramount for coastal managers to calculate the sediment budget on a specific coastal sector and identify zones within which changes to the coast might affect adjacent coastal areas.</p><div style='text-align:Left; font-size:12pt;'><p>The boundary of each coastal cell is identified and mapped according to two basic types: littoral drift divides and sediment sinks.</p><div style='text-align:Left; font-size:12pt;'><p><ul><li>Littoral drift divides – These boundary types normally occur at a point where the coastal orientation changes abruptly (for example, at a headland), or where sediment drift occurs in opposing directions.</li><li>Sediment sinks – These boundary types are the end points where sand or gravel transport routes terminate or meet. These can occur at deeply indented bays, tidal inlets, and estuaries. Sediment tends to accumulate in such locations forming beaches and/or sedimentary landforms at or close to the shore.</li></ul></p><div style='text-align:Left; font-size:12pt;'><div style='text-align:Left; font-size:12pt;'><p>The boundaries identified in the Historical Shoreline Analysis Project were delineated using the historical Ordnance Survey maps and the aerial photographs as well as expert coastal geomorphological knowledge. The end result is a spatial tool which will be extremely useful for future coastal management.</p><div style='text-align:Left; font-size:12pt;'><p>This is the output, which divides the Northern Ireland coastline into 7 first order coastal cells.<br /></p></div></div></div></div></div></div></div>

Tags: 3d, cells, coastal, delineation, first, ireland, marine, ni, northern, observatory, order, survey
Organization: OpenDataNI
Ortho

<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. <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 orthophotography that was collected as part of the post-storm recovery survey. <br /></p></div></div></div></div></div></div></div></p>

Tags: 3d, coastal, digital-terrain-model, dtm, ireland, marine, northern, observatory, ortho, orthophotography, post-storm, recovery, survey
Organization: OpenDataNI
Base of Lava Flow

<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
Aquaculture Licences -  Open Data

<div style='text-align:Left;'><p><span>Marine aquaculture sites licensed by The Department of Agriculture and Rural Development under the Fisheries Act (Northern Ireland) 1966 and or authorised under The Aquatic Animal Health Regulations (Northern Ireland) 2009 enacting COUNCIL DIRECTIVE 2006/88/EC on animal health requirements for aquaculture animals and products thereof, and on the prevention and control of certain diseases in aquatic animals.</span></p><p><span></span></p><p><span>Useful Links:</span></p><p><a href='https://www.daera-ni.gov.uk/topics/fisheries/aquaculture' rel='nofollow ugc' target='_blank'>https://www.daera-ni.gov.uk/topics/fisheries/aquaculture</a><br /></p></div>

Tags: aquaculture, food, licensing, northern-ireland
Organization: OpenDataNI
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: OpenDataNI
Image

<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. <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 orthophotography that was collected as part of the post-storm recovery survey. <br /></p></div></div></div></div></div></div></div></p>

Tags: 3d, coastal, digital-terrain-model, dtm, ireland, marine, northern, observatory, ortho, orthophotography, post-storm, recovery, survey
Organization: OpenDataNI
Boundary

<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&gt;</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 Digital Terrain Model created from the LiDAR dataset.</p><div style='text-align:Left; font-size:12pt;'></div></div></div></div>

Tags: 3d, bathymetry, coastal, derived, marine, observatory, satellite, survey
Organization: OpenDataNI