AndreaBozzo/ceres-open-data-index huggingface dataset:
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
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
2017 Ortho OSNI

<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 Zinc ZnSOL

<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>ZN SOL (ug/l) - Zinc, Dissolved</span></p></div></div></div></div>

Tags: chemistry, daera, dissolved-zinc, fdi, freshwater-data-insights, niea, river-water-quality, water, water-science-and-evidence, wse, zinc
Organization: OpenDataNI
Exceptions to Cross-Government moratoria on spend in HMRC

This dataset is a list of those items of spend that have been allowed in HM Revenue & Customs (HMRC) since the announcement (24 May 2010) of initially five cross-government moratoria: ICT spend above £1m; Advertising & Marketing; consultancy; Property leases & lease extensions; and Civil Service recruitment. 

There are currently spending controls in:

* Property
* Advertising
* Commercial
* Digital and Technology
* Facilities management
* Contingent labour

HMRC publishes details of approved expenditure in areas limited by spending controls, on a quarterly basis.

Organization: HM Revenue and Customs
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, groundwater, groundwater-dependent-terrestrial-ecosystems, gwdte, hydrogeology, water-framework-directive, wfd
Organization: OpenDataNI
Linear Bedrock Unit

<div style='text-align:Left; font-size:12pt;'><p>The Geological Survey of Northern Ireland (GSNI) was commissioned to produce a Northern Ireland wide coastal geological dataset, detailing the bedrock geology.</p><div style='text-align:Left; font-size:12pt;'><p>GSNI used the 1;10,000 digital bedrock geology map to create a coastal dataset which extends inland 200 meters and out to a seaward depth of approx. 10 metres, matching the extend of the Northern Ireland 3-Dimensional Coastal Survey. This involved refinement of the existing 1;10,000 map where signification coastal change has occurred since the original survey. Where gaps existed, unpublished datasets were used.</p><div style='text-align:Left; font-size:12pt;'></div></div></div>

Tags: 3d, bedrock, coastal, geology, ireland, marine, northern, observatory, survey
Organization: OpenDataNI
Priority Habitats - Fens

<div style='text-align:Left;'><div><div><p><span>About this layer</span></p><p><span>This data represents NIEA surveys and may not represent the entire extent of habitat or species across Northern Ireland.</span></p><p><span>The Fen, swamp and flush Inventory incorporates evidence collected from a research contract to identify and survey areas of lowland fens of high nature conservation value in Counties Down and Armagh together with ongoing surveys by NIEA Conservation Science Habitat Survey Team (HST).  </span></p><p><span>The research focused on identifying fens in Counties Down and Armagh where the incidence of inter-drumlin fens is high. T</span><span>hese fens are particularly important within Annex 1 of the Habitats Directive. The most extensive and diverse priority Lowland Fens and Reedbeds have also been identified in county Tyrone through surveys by HST. This only represents a partial dataset and does not include the complete priority Lowland Fen and Reedbed resource in Northern Ireland. Where point data only is available for older fen surveys across Northern Ireland, further mapping is required to provide a fuller representation of all priority fen communities in Counties Fermanagh, Derry/Londonderry and Antrim. </span></p><p><span>Upland Flushes, Fens and Swamps are largely unrecorded.</span></p><p><span>Data Sources:</span></p><p><span>HST - Northern Ireland Environment Agency</span></p><p><span>Down and Armagh Fen Survey – Sheffield University - 1995</span></p><p><span>Habitat Survey Team, Conservation Science:  1985 - 2014</span></p><p><span>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>

Tags: fens-and-swamps, lowland-fens, natural-environment-division, ni, northern-ireland, northern-ireland-environment-agency, priority-habitats, reedbeds, uk, united-kingdom, upland-flushes
Organization: OpenDataNI
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, drinking-water-protected-area, dwpa, groundwater, gw, ni, niea, northern-ireland-environment-agency, science, water-framework-directive, wfd
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
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, water-framework-directive, wfd
Organization: OpenDataNI
2006 Ortho OSNI

<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
1997 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
September 2022 - North Coast Post-Storm Recovery Survey - Orthophotography Natural Colour

<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