AndreaBozzo/ceres-open-data-index huggingface dataset:
Groundwater Drinking Water Protected Areas (DWPA's)

<div style='text-align: left;'><div><div><p><font size='3'><font color='#000000'><font color='#000000' face='Calibri'>Groundwater Drinking Water Protected Areas (DWPA's)
submitted as part of the Water Framework Directive (WFD) 2nd cycle reporting in
2016.<span style='mso-spacerun: yes;'>  </span>The extent of each protected area
was created by NIEA Land &amp; Groundwater team.</font></font></font></p><p><font size='3'><font color='#000000'><font color='#000000' face='Calibri'><font color='#000000' face='Calibri'>In order to provide water for people to drink we abstract
raw water from reservoirs, rivers and the ground (known as groundwater).<span style='mso-spacerun: yes;'>  </span>These areas are referred to a Drinking Water
Protected Areas (DWPAs) within the Water Framework Directive. Where necessary this
raw water is treated to purify it for us to drink.</font></font></font></font></p><font size='3'><p><font color='#000000'>

<font color='#000000' face='Calibri'>Groundwater DWPA's include areas where water is/ can be
abstracted for public or private drinking water supplies, for direct inclusion
within food (e.g. cooking or food preparation including processing,
preservation or marketing of products or substances intended for human
consumption), but not water intended for indirect uses such as spray
irrigation.</font></font></p><p>

</p></font><p></p><p><span><span style='text-align: left; color: rgb(47, 60, 22); text-transform: none; text-indent: 0px; letter-spacing: normal; font-family: arial, helvetica, sans-serif; font-size: 12.24px; font-style: normal; font-weight: 400; word-spacing: 0px; float: none; display: inline !important; white-space: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255); font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><font face='Times New Roman'></font></span></span></p><p><span></span></p><p><span></span></p><p><span></span></p></div></div></div>

Tags: 2016, 2nd cycle, DAERA, DWPA, GW, NI, NIEA, Northern Ireland Environment Agency, Science, WFD, Water Framework Directive, drinking water protected area, groundwater
Organization: OpenDataNI
Weighted Linear Regression

<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>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
Hillshade

<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
Derg And Mourne 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
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
End Point Rate

<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
2021 NI 3D Coastal Survey - Topographic LiDAR - Digital Surface Model

<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, DSM, Digital Surface Model, Ireland, Marine, Northern, Observatory, Survey, Terrain
Organization: OpenDataNI
Modelled fluvial flood depth and climate change depth difference data created 2004: 0.1  percent annual chance for grid reference SP

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 SP. 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
Lower Bann 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
Water Framework Directive Protected Area - Shellfish Waters

<DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN>EU Shellfish Waters Directive (2006) was repealed in 2013 and all</SPAN><SPAN> </SPAN><SPAN>responsibility for</SPAN><SPAN> </SPAN><SPAN>legislative protection</SPAN><SPAN> </SPAN><SPAN>of shellfish waters was subsumed into the Water Framework Directive.</SPAN><SPAN> All legislative management of shellfish waters is now carried out under the Water Framework Directive.</SPAN></P><P /><P /><P /></DIV></DIV></DIV>

Tags: Shellfish Water Protected Areas, WFD, Water Framework Directive
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
Forced Marriage statistics

Information on the number of cases reported to the government’s Forced Marriage Unit via its public helpline and email inbox during a particular calendar year.

The Forced Marriage Unit (FMU) is a joint Foreign and Commonwealth Office and Home Office unit working on the government’s forced marriage policy, outreach and casework. It operates both inside the UK, where support is provided to any individual, and overseas, where consular assistance is provided to British nationals, including dual nationals.

Organization: Home Office
River Water Quality Monitoring 1990 to 2018 - Nitrite

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This table provides the raw data from river monitoring sites including Water Framework Directive monitoring sites. It should be noted that, as the data set is in its raw state, it cannot be used to provide a status without processing. The data set does not show Limits of Detection or Limit of Quantitation which would require a value to be treated as a half value for WFD calculation. In addition both altitude and alkalinity affect status calculations for some parameters. The data set may contain results which are erroneous due to typos, sampling error or contamination, such data points are usually several orders or magnitude above expected values.</SPAN></P><P><SPAN>This is the first in a series of water data sets being made available as Open Data. Other data sets 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. 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. The regulation encourage the active involvement of interested parties and the general public.</SPAN></P><P><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></P><UL><LI><P><SPAN>Biological quality (fish, invertebrates, flora)</SPAN></P></LI><LI><P><SPAN>Hydromorphological</SPAN></P></LI><LI><P><SPAN>Physico-chemical properties like temperature, oxygenation and nutrient conditions.</SPAN></P></LI><LI><P><SPAN>Chemical quality assessed against environmental quality standards for specific pollutants and priority substances.</SPAN></P></LI></UL><P><SPAN>The following physio-chemical and chemical parameters are included in the data set:</SPAN></P><UL><LI><P><SPAN>NO2-N(mg/l)- Nitrite</SPAN></P></LI></UL></DIV></DIV></DIV>

Tags: DAERA, Lakes, Monitoring Sites, NIEA, Northern Ireland, Protected Areas, Rivers, Science, Surface waters, WFD, Water, Water Framework Directive, Water Quality
Organization: OpenDataNI
1973 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