AndreaBozzo/ceres-open-data-index huggingface dataset:
Natural Environment Research Council (NERC) Geophysical Survey 2014/8 QICS: Ardmucknish Bay (29/Sep/2014 to 03/Oct/2014)

This marine geophysical survey took place on 1st October 2014 in the area of Ardmucknish Bay on board the RV White Ribbon. The survey was carried out by the British Geological Survey (BGS). This was a follow up survey to the previous work carried out in this area (Surveys: 2011/4 and 2012/5, 2012/7) to monitor changes in the geometry of gas charged sediments. QICS (Quantifying and monitoring potential ecosystem impacts of geological carbon storage) was a scientific research project funded by NERC; its purpose was to improve the understanding of the sensitivities of the UK marine environment to a potential leak from a carbon capture storage (CCS) system. Sub bottom seismic profiling data were collected using an Applied Acoustics surface tow boomer (STB). These data are archived by BGS. Webpage www.bgs.ac.uk/QICS/. NERC grant NE/H013954/1.

Organization: British Geological Survey (BGS)
BGS Geology - 625k (DiGMapGB-625) Superficial version 4

Data identifying landscape areas (shown as polygons) attributed with geological names and rock type descriptions. The scale of the data is 1:625 000, providing a simplified interpretation of the geology which may be used as a guide at a regional or national level, but should not be relied on for local geology. Onshore coverage is provided for all of England, Wales, Scotland, the Isle of Man and Northern Ireland. Superficial deposits are the youngest geological deposits formed during the most recent period of geological time, the Quaternary, which extends back about 2.58 million years from the present. They lie on top of older deposits or rocks referred to as bedrock. Superficial deposits were laid down by various natural processes such as action by ice, water, wind and weathering. As such, the deposits are denoted by their BGS Lexicon name, which classifies them on the basis of mode of origin (lithogenesis) with names such as, 'glacial deposits', 'river terrace deposits' or 'blown sand'; or on the basis of their composition such as 'peat'. Most of these superficial deposits are unconsolidated sediments such as gravel, sand, silt and clay. The digital data include attribution to identify each deposit type (in varying levels of detail) as described in the BGS Rock Classification Scheme (volume 4). The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as an OGC GeoPackage and are delivered free of charge under the terms of the Open Government Licence.

Tags: Data, Digital maps, GIS, Geology, Maps, NERC_DDC
Organization: British Geological Survey (BGS)
BGS Geology - 625k (DiGMapGB-625) Linear (Faults) version 5

Data identifying linear features (shown as polylines) representing geological faults at the ground or bedrock surface (beneath superficial deposits). The scale of the data is 1:625 000 scale, providing a simplified interpretation of the linear features which may be used as a guide at a regional or national level, but should not be relied on for local geology. Onshore coverage is provided for all of England, Wales, Scotland, the Isle of Man and Northern Ireland. Geological faults occur where a body of bedrock has been fractured and displaced by large scale processes affecting the Earth's crust (tectonic forces). The digital data are attributed by fault type; two categories of fault are described in the data: fault at rockhead (representing normal dip-slip and strike-slip faults) and thrust fault (representing faults caused by compressive forces). The data have been generalised and show only the locations of major faults. The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as an OGC GeoPackage and are delivered free of charge under the terms of the Open Government Licence.

Tags: Data, Digital maps, GIS, Geology, Maps, NERC_DDC
Organization: British Geological Survey (BGS)
Direct-shear experimental data on sedimentary gouge samples under high confining pressure and sliding velocity steps

This dataset contains raw experimental direct shear testing data as presented by "Ougier-Simonin, A., Castagna, A., Walker, R. J., & Benson, P. M. (2018). Frictional and mechanical behavior of simulated, sedimentary fault gouges. In AGU Fall Meeting Abstracts (Vol. 2018, pp. T11E-0212)". The data is provided in a .zip folder containing the files of 8 experiments that are accompanied by a README file for introduction. Files format is Microsoft Excel Worksheet (.xlsx) and data are tabulated. Each file contains the corresponding relevant sample’s details, and each column of data is clearly labelled, units included. For each experiment, time, axial force, axial displacement, axial stress, confining displacement, confining pressure, internal temperature, and axial delta P were recorded. Details of calculations for shear stress and coefficient of friction are also provided. Eight gouge (rock powder) samples of Monte Salici sandstone (Numidian Flysch, Appenninic-Maghrebian Chain; Sicily), ‘Comiso’ limestone (Ragusa Formation; Sicily) and Quaternary Clays (blue-grey clay in Fiumefreddo, Sicily) were tested in direct shear using sliding holders in triaxial compression at a confining pressure of 50 MPa. After 4 mm of axial (shear) displacement at 1 micron per second, variable rates of axial displacement were applied to induce velocity steps condition and measure rate-and-state parameters. Maximum displacement: ca. 9.8mm. All tests done at room temperature. The experiments were conducted by Drs A. Castagna and A. Ougier-Simonin using the MTS815 Rock Testing System in triaxial configuration and homemade sliding holders in the Rock Mechanics and Physics Laboratory of the British Geological Survey; both responsible for the collection and initial interpretation of the data. One test presented an issue on one of the signals recorded; the data are still shared for information purposes and the corresponding set of data is clearly named to indicate this fact.

Tags: Brittle deformation, Carbonate rocks, Clays, Cohesion, Compression tests, Deformation (materials), Friction (engineering), Limestone, NERC_DDC, Physical properties, Quaternary, Sandstone, Sedimentary rocks, Shear strength
Organization: British Geological Survey (BGS)
RiverWaterQualityMonitoring 1990to2024 Conductivity

<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>COND (uS/cm) - Conductivity</span></p></div></div></div>

Tags: chemistry, conductivity, daera, fdi, freshwater-data-insights, niea, river-water-quality, water, water-science-and-evidence, wse
Organization: OpenDataNI
River Blackwater Network Contribution

<div style='text-align:Left;'><div><div><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></div></div></div>

Tags: high-network-contribution, northern-ireland, rivers, surface-flow, surface-water-connectivity
Organization: OpenDataNI
RiverWaterQualityMonitoring 1990to2024 SuspendedSolids

<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>SS (mg/l) - Suspended solids</span></p></div></div></div></div>

Tags: chemistry, daera, fdi, freshwater-data-insights, niea, river-water-quality, suspended-solids, water, water-science-and-evidence, wse
Organization: OpenDataNI
Roe 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
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 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. </p><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 Digital Surface Model that was collected as part of the post-storm recovery survey.<br /></p></div></div></div></div></div></div></div>

Tags: 3d, coastal, digital-surface-model, dsm, ireland, lidar, northern, observatory, post, recovery, storm
Organization: OpenDataNI
Priority Habitats - Peatland

<div style='text-align:Left;'><div><div><p><span>About this layer</span></p><p><span>The Northern Ireland Peatland map layer displays  information from the NI Peatalnd Survey (1988) which mapped peatland vegetation at 1:20,000 scale for the whole of Northern Ireland derived from  the interpretation of 1970s and 1980s aerial photographs.</span></p><p><span>Data Sources:</span></p><p><span>Published in 1988 using the most recent aerial photograph imagery available at the time (from 1970s and 1980s)</span></p><p><span>Authors - Cruickshank, M.M. &amp; Tomlinson, R.W. (1988). Northern Ireland Peatland Survey. Department of the Environment for Northern Ireland (Countryside and Wildlife Branch). Belfast.</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: natural-environment-division, ni, ni-peatland-survey, northern-ireland, northern-ireland-environment-agency, peatland, priority-habitats, uk, united-kingdom
Organization: OpenDataNI
1919-1924 OS CS 4th Ed

<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
Probe Metrics

<p>The field probe has been deployed by NIEA’s Freshwater Monitoring and Assessment team as part of a long term, high frequency water quality monitoring project. It records Dissolved Oxygen (%Saturation) and temperature (°C) at the foot of the Blackwater River&nbsp;at Maghery.</p><p>Data is recorded every 30 minutes and loaded onto the public platform approximately every 30 days.</p><p><strong>Please note:&nbsp;</strong>Data is non-validated and should therefore be treated as provisional and may be subject to revisions.&nbsp; Many factors can affect the reliability of real time data, including environmental changes and sensor malfunction.</p><p><strong>Disclaimer</strong> - All materials and information are provided “AS IS”. Please seek and follow professional advice relating to Lough Neagh and its tributaries. Further details of the DAERA disclaimer can be found <a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://www.daera-ni.gov.uk/articles/terms-and-conditions-daera#toc-5' rel='nofollow ugc noopener noreferrer'>here.</a></p><p>The probe has an optical DO sensor and a temperature sensor. The logger collects measurements of dissolved oxygen with an accuracy of +/- 5% and temperature to +/- 0.1 degrees C. Temperature range is 0 to 35 degrees C with an accuracy of +/- 0.1 degrees C. Oxygen range is 0 to 150% saturation.</p><p><strong>Maintenance:&nbsp;</strong>Probe maintenance and download occur monthly.</p><p><strong>Point of Contact:</strong>&nbsp;<a href='mailto:waterinfo@daera-ni.gov.uk' target='_blank' rel='nofollow ugc noopener noreferrer'>waterinfo@daera-ni.gov.uk</a></p><p><strong>Please Note:</strong>&nbsp;Date format in the download is month, day and year.</p>

Tags: blackwater-river, c_, degrees-celsius, dissolved-oxygen, do, fma, freshwater-monitoring-and-assessment, high-frequency-monitoring, niea, percentage, river, saturation, temperature, water-quality
Organization: OpenDataNI
2021 NI 3D Coastal Survey - Satellite Derived Bathymetry - Digital Terrain Model

<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