AndreaBozzo/ceres-open-data-index huggingface dataset:
Braid and Main 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
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
Quoile 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
March 2022 - North Coast Post-Storm Survey -  LiDAR Point Cloud

<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 LiDAR point cloud provided as an output from this post-storm LiDAR survey.<br /></p></div></div></div></div>

Tags: 3D, Cloud, Coastal, Ireland, LiDAR, Northern, Observatory, Point, Post-Storm
Organization: OpenDataNI
Modelled fluvial flood depth and climate change depth difference data created 2004: 0.1  percent annual chance for grid reference TF

The depth difference dataset (2004) is a depth grid showing the difference between modelled fluvial flood depths and modelled fluvial flood depths under climate change conditions (an increase in peak flows of 20%). 

Modelled fluvial flood depth and climate change depth difference data* was created for both the 0.1% annual chance of flooding situations and was produced as a by-product from the 2004 generalised modelling project. The purpose of the generalised modelling project was to fill the gaps where there was no detailed local modelled data in 2004, in order to define the extents of Flood Zones for spatial planning.

A two-dimensional hydrodynamic model called JFlow was used to produce both the modelled fluvial flood depth and modelled fluvial flood depth with climate change data. This depth difference data, using these 2 datasets, is provided on a 5x5m grid.

Since 2004, some local detailed modelling projects have included scenarios for climate change however this depth difference dataset has not been updated.

INFORMATION WARNING: This data is not suitable for identifying whether an individual property will flood due to climate change, for detailed decision making or for use in site specific Flood Risk or Strategic Flood Risk Assessments. Where this data is used further evidence, verification and studies should be undertaken. Climate change allowances have changed since this work was completed in 2004.

More recent, accurate and local detailed modelling depth data with climate change is available for some places. Please contact your local Environment Agency office to see if detailed modelling is available for your area of interest. 

This metadata record is for Approval for Access product AfA480 2004 1 in 1000 Fluvial Depth Grid Climate Change Difference

Modelled fluvial flood depth data with climate change are available for the whole of England, however this data is for the 100x100km squared Ordnance Survey National Grid reference TF. If you are interested in data for another grid reference refer to this Ordnance Survey National Grid document to find the relevant referencing code and search on Data.gov.uk again to download the data. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved. Some features of this information are based on digital spatial data licensed from the Centre for Ecology & Hydrology © NERC (CEH). Defra, Met Office and DARD Rivers Agency © Crown Copyright. © Cranfield University. © James Hutton Institute.  Contains OS data © Crown copyright and database right 2015. Land & Property Services © Crown copyright and database right.

Tags: environment, flood, flooding, risk assessment
Organization: Environment Agency
1975 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
Urban Waste Water Sensitive Areas 2nd Cycle

<div style='text-align: left;'><div><div><p><span>This is an amalgamated copy of the sensitive areas and catchment sensitve areas reported as the spatial data requirements under Urban Waste Water Treatment Directive Article15 and also links to the protected areas reported under the Water Framework Directive 2016.  </span></p><p><span>The Water (Amendment) (Northern Ireland) (EU Exit) Regulations 2019 ensures that the Urban Waste Water Treatment Directive (UWWTD) and the Water Framework Directive (WFD) (as transposed) and the various supporting pieces of water legislation are implemented in Northern Ireland.</span></p></div></div></div>

Tags: DAERA, NIEA, Protected Area, Sensitive Area, UWWTD, Urban, WATER, WFD, Waste
Organization: OpenDataNI
2018 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
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 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
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 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, DTM, Digital Terrain Model, Ireland, LiDAR, Northern, Observatory, Post, Storm
Organization: OpenDataNI
Farm Census District Electoral Area 2016

<div style='text-align:Left;'><p><b>About this layer</b><br /></p><p>The data covers all farm business in Northern Ireland. Data is collected directly from farm business through a survey and supplemented with administrative data from the Animal and Public Health Information System (APHIS).</p><p>Information is available on the Number of Farms, Number of Less favourable Area (LFA) Farms, Number of Non LFA Farms, Area Farmed (ha), Crops (ha), Grass (ha), Number of Cattle, Number of Sheep, Number of Pigs, Number of Poultry, Number of Farmers, Number of self Employed, Number of Spouses, Number of Other Workers, Total Labour on Farms, Number of v.small/small/medium/large farms.</p><p>The farm census statistics have been collected since 1847 and historical data are available on the DAERA website. The statistics are used by a wide variety of internal and external stakeholders to understand the nature of farming in Northern Ireland.</p><p><b>What can you do with the layer?</b></p></div><div style='text-align:Left;'><p><b>Visualisation</b>: This layer can be used for visualisation online in web maps.</p></div><div style='text-align:Left;'><p><b>Analysis</b>: This layer can be used in dashboards.</p></div><div style='text-align:Left;'><p><b>Download</b>: The data is downloadable.</p></div>

Tags: Cattle, Census, DEA, District Electoral Area, Farm, Farm size, Farm type, NI, Northern Ireland, Pigs, Poultry, Statistics, UK, United Kingdom
Organization: OpenDataNI
Boundary

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. <div><br /></div><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>Natural Colour orthophotography imagery was captured with a 10cm resolution.</div>

Tags: 3D, Coastal, Marine, Observatory, Ortho, Orthophotography, Survey
Organization: OpenDataNI
Groundwater Dependent Terrestrial Ecosystems

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="font-style:italic;margin:0 0 0 0;"><SPAN>Further information is available at </SPAN><A href="https://www.daera-ni.gov.uk/sites/default/files/publications/doe/groundwater-dependent-terrestrial-ecosystems.PDF" STYLE="text-decoration:underline;"><SPAN>https://www.daera-ni.gov.uk/sites/default/files/publications/doe/groundwater-dependent-terrestrial-ecosystems.PDF</SPAN></A><SPAN /></P></DIV></DIV></DIV>

Tags: Aquifers, GWDTE, Groundwater, Groundwater dependent terrestrial ecosystems, WFD, Water Framework Directive, hydrogeology
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
Coastal Bedrock Geology

<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
Footprint

<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