AndreaBozzo/ceres-open-data-index huggingface dataset:
River Water Quality Monitoring 1990 to 2024 - Alkalinity

<div style='text-align:Left;'><div><div style='font-size:12pt'><p><span>This dataset comes from the NIEA water quality database and contains data from 1990 to 2024.  The dataset may contain results which are erroneous due to typos, sampling error or contamination.  Such data points are usually several orders of magnitude above expected values.  This is the first in a series of water datasets being made available as Open Data. Other datasets remain available on request via waterinfo@daera-ni.gov.uk</span></p><p><span>The European Water Framework Directive (2000/60/EC) has been transposed into Northern Ireland Regulations through The Water Environment (Water Framework Directive) Regulations (Northern Ireland) 2017. </span><span>The Water (Amendment) (Northern Ireland) (EU Exit) Regulations 2019 ensures that the Water Framework Directive (WFD) (as transposed) and the various supporting pieces of water legislation continue to operate here after 1 January 2021. </span><span>The regulations encourage the active involvement of interested parties and the general public.</span><span> The regulations set out the requirement to achieve 'Good Ecological Status' and 'Good Chemical Status' for all ground and surface waters (rivers, lakes, transitional waters, and coastal waters) within Northern Ireland.</span></p><p><span>Surface waters are assessed according to the following criteria:</span><span> Biological quality (fish, invertebrates, flora), Hydromorphological, Physico-chemical properties like temperature, oxygenation and nutrient conditions, Chemical quality assessed against environmental quality standards for specific pollutants and priority substances.</span></p><p><span>The following physio-chemical and chemical parameters are included in the dataset:</span></p><p><span>ALK (mg/l) - Alkalinity</span></p></div></div></div>

Tags: alkalinity, chemistry, daera, fdi, freshwater-data-insights, niea, river-water-quality, water, water-science-and-evidence, wse
Organization: OpenDataNI
Register of Private Water Supplies in Northern Ireland

<div style='text-align:Left;'><div><div><p><strong>About this layer: </strong><span>A private water supply is any supply of water intended for human consumption and not provided by the water undertaker appointed under Article 13 of The Water and Sewerage Services (Northern Ireland) Order 2006, i.e. NI Water Ltd. The Private Water Supplies Regulations (Northern Ireland) 2017 require the Drinking Water Inspectorate (DWI) to hold a register of private water supplies which includes supplies to public or commercial premises or two or more private dwellings where the water is used for drinking, cooking, food preparation or other domestic purposes. This spatial dataset (polygons) illustrates a layer of 100m by 100m squares, each of which is randomly described around a registered private water supply in Northern Ireland. Both private water supplies currently monitored, or historically monitored, by the Drinking Water Inspectorate are identifiable. This dataset is updated regularly by DWI, at least quarterly, most recent update: 1 April 2026.</span></p><p><strong>Visualisation: </strong><span>This layer can be used for visualisation online in web maps.</span></p><p><strong>Analysis: </strong><span>This layer can be used in dashboards.</span></p><p><strong>Download: </strong><span>The data is downloadable.</span></p><p>&nbsp;</p></div></div></div>

Tags: drinking-water, ni, northern-ireland, polygons, private-water-supplies, registered-private-water-supplies, uk, united-kingdom
Organization: OpenDataNI
Footprint

<div style='text-align:Left; font-size:12pt;'><p>In 2021 a high resolution (minimum 10 meters) satellite-derived bathymetry survey was complete for the full extent of the Northern Ireland marine area to a maximum depth of 8-11 meters. This was undertaken as part of the NI 3D Coastal Survey.</p><div style='text-align:Left; font-size:12pt;'><p>Images which were used date from 2012 but the majority were captured from 2018 onwards.  Data was acquired from two sources: </p><p>•	Sentinel 2 sensors which produces a 10m spatial resolution bathymetric grid and </p><p>•	Commercial satellite data, which allow for a higher 2m spatial resolution.
</p><div style='text-align:Left; font-size:12pt;'><p>This is the Digital Terrain Model that was created from the satellite-derived bathymetry 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
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
Farm Census District Electoral Area 2015

<div style='text-align:Left;'><p><b>About this layer</b></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 and in ArcGIS Pro.</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
DWPA abstraction point hydrological catchments

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows the Drinking Water Protected Areas (DWPA) which have been identified and designated in accordance with Article 8 of The Water Environment (Water Framework Directive) Regulations (Northern Ireland) 2017. Each polygon represents a holistic upstream hydrological catchments which supply surface drinking water abstraction points.</SPAN></P></DIV></DIV></DIV>

Tags: abstractions, daera, drinking-water, drinking-water-protected-areas, dwpa, groundwater, northern-ireland, northern-ireland-environment-agency, potable-water, protected-areas, water, water-framework-directive, wfd
Organization: OpenDataNI
Layer

<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
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, digital-terrain-model, dtm, ireland, lidar, northern, observatory, post, storm
Organization: OpenDataNI
1974 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
Farm Census District Electoral Area 2019

<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
Ecological Consequences of Offshore Wind (ECOWind) research programme

The Ecological Consequences of Offshore Wind (ECOWind) research programme comprises of 4 grants: Ecological Implications of Accelerated Seabed Mobility around Windfarms (NE/X008886/1: ECOWind-ACCELERATE), Physics-to-Ecosystem Level Assessment of Impacts of Offshore Windfarms (NE/X008835/1: PELAgIO), Benthic-Offshore Wind Interactions (NE/X008991/1: BOWIE) and Ecosystem Change, Offshore Wind, Net Gain and Seabirds (NE/X009068/1: ECOWINGS). These projects are expected to run until 2027, interacting with eachother to collect multidisciplinary data that investigates the physical, biogeochemical and ecosystem impact windfarms have around the UK, using multi-scale observational data, laboratory experiments and model outputs. The data collected spans from flume data, wave model outputs and glider measurements through to the response of seabirds. The programme was funded by NERC and aims to provide new evidence in support of marine policy and the sustainable management of offshore wind development.

Organization: Marine Environmental Data & Information Network
MOD-Organogram of Staff Roles & Salaries-Department of State (DoS)

Organogram (organisation chart) showing all staff roles. Names and salaries are also listed for the Senior Civil Servants 2* and above.

Organogram data has been released by all central government departments and their agencies since 2010. Snapshots are published quarterly for datasets from 31st March; 30th June; 30th September and 31st December each year. The published data is validated and released in CSV format and OGL-licensed for reuse. 
For more information about this series, see: http://guidance.data.gov.uk/organogram-data.html


Organization: Ministry of Defence
Tree Preservation Order Points

A Tree Preservation Order (TPO) is a part of town and country planning in the United Kingdom. A TPO is made by Sheffield Planning Authority to protect specific trees or a particular area, group or woodland from deliberate damage and destruction. TPOs can prevent the felling, lopping, topping, uprooting or otherwise willful damaging of trees without the permission of the Sheffield Planning Authority, although different TPOs have different degrees of protection.

Organization: Sheffield City Council
Multibeam bathymetry and backscatter data collected during SMARTEX cruises JC241 and JC257 in the Clarion-Clipperton Zone

Multibeam bathymetry data were collected in the Clarion-Clipperton Zone (CCZ), Northeast Pacific Ocean, using a hull-mounted Kongsberg EM122 multibeam echosounder during RRS James Cook Cruise JC241 from 06/02/2023 to 25/03/2023, and JC257 from 08/02/2024 to 19/03/2024. Data acquisition began upon exiting the Costa Rican Econoic Exclusion Zone (EEZ), suspended within the Clipperton Island EEZ, and resumed upon exiting the Clipperton Island EEZ. Data were then acquired throughout the CCZ. This suspension was repeated on the return journey. The data were recorded using Kongsberg’s Seafloor Information System (SIS) in .all format, and CTD and model-derived sound velocity profiles were subsequently applied. The data were manually cleaned using swath and subset editors in CARIS HIPS and SIPS software version 10.4. A zero tide file was also applied. The data were collected to obtain a better insight in the biodiversity patterns and benthic habitat distributions within the CCZ, by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).

Organization: Marine Environmental Data & Information Network
An infilled globally complete version of the Dynamically Consistent ENsemble of Temperature at the Earth surface dataset (DCENT): DCENT-I (1850-present)

A globally complete, 200-member ensemble of monthly surface temperature (SST) and land surface air temperature (LSAT) anomalies at 5°x5° resolution, spanning the period from 1850 to present. It is derived from version 2.0 of the unfilled Dynamically Consistent ENsemble of Temperature at the Earth surface (DCENT) dataset and represents 2-metre air temperature over land and sea surface temperature across the marine domain. In addition to the ensemble realisations, summary statistics including the ensemble mean, standard deviation, and the 5th and 95th percentiles, are provided. All temperature values are expressed as anomalies relative to the 1982-2014 climatology, which is also supplied to enable reconstruction of monthly absolute temperatures. A diagnostics file is provided, which contains the land and sea weights and masks, as well as α which quantifies the local kriging variance as a proportion of the prior variance to indicate data reliability. The files contain SST and LSAT separately and combined in the tas variable. DCENT-I combines DCENT’s state‐of‐the‐art bias/homogenisation corrections with a spatially adaptive interpolation method to produce globally complete monthly temperature fields with estimates of uncertainty. The dataset was generated using GloMarGridding v1.0.0-rc.2 (https://github.com/NOCSurfaceProcesses/GloMarGridding) by scientists at the University of Southampton, National Oceanography Centre (NOC), Woods Hole Oceanographic Institution and Harvard University. NOC was supported by the NERC-funded National Capability Programme ‘Atlantic Climate and Environment Strategic Science’ (AtlantiS), grant reference NE/Y005589/1.

Organization: Marine Environmental Data & Information Network
Benthic imagery acquired during cruises JC241 and JC257 in the Clarion-Clipperton Zone (Pacific Ocean, 2023-2024)

Several collections of benthic still images and video transects were obtained using a downward-looking and oblique camera system mounted on the UK ISIS Remotely Operated Vehicle (ROV), and the UK Autosub5 Autonomous Underwater Vehicle (AUV). The vehicles were deployed from the RRS James Cook during expeditions JC241 (2023) and JC257 (2024). All surveys were undertaken in the abyssal plain of the Clarion-Clipperton Zone (CCZ), Pacific Ocean (~4100-4700 m depth). The Grasshopper2 GS2-GE-50S5C and the Insite Pacific Super Scorpio camera system were mounted to the ROV and AUV, capturing still images and video at a target altitude of 2.5 - 3 m above the seabed. Surveys were undertaken to assess benthic biological patterns in an area disturbed by a deep-sea mining machine operated by the Ocean Minerals Company (OMCO) in 1979. Surveys were also undertaken in the in the UK-1 exploration area, 30 km south of the northern border of the UK-1 exploration area, and 100 km south of the northern border of the UK-1 exploration area. The surveys aimed to derive ecological understanding on the influence of past seabed mining activities on seabed community composition. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).

Organization: Marine Environmental Data & Information Network
In-situ water samples collected in the Western Nordic Seas for the DOGMA project, November 2023 - October 2025

In-situ water samples collected from the Western Nordic seas between November 2023 and October 2025 from moorings deployed on the Autumn 2024 and Winter 2025 ROVER cruises as part of the Dissolved Organic matter subduction and transport along the east Greenland Margin (DOGMA) project. The water samples will be used to investigate how overturning processes in the Nordic Seas inject vast amounts of dissolved organic carbon (DOC) into the deep ocean. The organisations contributing to these datasets are the School of Ocean and Earth Science at the University of Southampton, the National Oceanography Centre (NOC) and the Scottish Association for Marine Science (SAMS) under the NERC Grant Reference NE/Y002709/1.

Organization: Marine Environmental Data & Information Network
Measuring Tax Gaps

Statistics relating to estimates of tax gaps - the difference between tax collected and that, which in HMRC's view, should be collected. The VAT gap estimate for 2012-13 relies on National Statistics produced by Office for National Statistics and also on the publication of revised forecasts for the UK economy by the Office for Budget Responsibility. Therefore, the second VAT gap estimate for 2012-13 will be published soon after Budget on 19th March 2014.

Source agency: HM Revenue and Customs

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: Measuring Tax Gaps

Organization: HM Revenue and Customs