This is a complete dataset of all outputs produced from a survey assessing environmental knowledge (and knowledge gas) across local communities in the Iveragh peninsula, Co. Kerry, Ireland, during the first months of 2021. The dataset includes chart and figures, maps produced using GIS, mind maps, spreadsheets, and a supporting document containing all relevant metadata.

This water flow network dataset is a route feature class rather than a simple polyline. The geometry is generated by merging the river lines of individual geometric network datasets. This layer contains an integrated flow network that includes known flow connections through rivers, lakes and groundwater aquifers. In places where the network is depicted flowing through lakes or through underground channels, the flow channels are schematic only, and do not represent the precise location of these flow channels. The appropriate Geological Survey Ireland data sets should be consulted where underground flows or connections are known or suspected.River Network RoutesMetadata:http://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/c4043e19-38ec-4120-a588-8cd01ac94a9cDownload Data: https://gis.epa.ie/GetData/DownloadWater / Water Framework Directive - General Information- Catchments Data Package - October 2021orWater / Water Framework Directive - RIVERS AND LAKES - OSI Rivers and Lakes - 06/02/2020Lake SegmentsMetadata:http://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/c4040e19-38ec-4120-a588-8cd01ac94a9cDownload Data: https://gis.epa.ie/GetData/DownloadWater / Water Framework Directive - RIVERS AND LAKES - OSI Rivers and Lakes - 06/02/2020

This data was prepared as input for the Selkie GIS-TE tool. This GIS tool aids site selection, logistics optimization and financial analysis of wave or tidal farms in the Irish and Welsh maritime areas. Read more here: https://www.selkie-project.eu/selkie-tools-gis-technoeconomic-model/

This research was funded by the Science Foundation Ireland (SFI) through MaREI, the SFI Research Centre for Energy, Climate and the Marine and by the Sustainable Energy Authority of Ireland (SEAI). Support was also received from the European Union's European Regional Development Fund through the Ireland Wales Cooperation Programme as part of the Selkie project.

File Formats

Results are presented in three file formats:

tif Can be imported into a GIS software (such as ARC GIS) csv Human-readable text format, which can also be opened in Excel png Image files that can be viewed in standard desktop software and give a spatial view of results

Input Data

All calculations use open-source data from the Copernicus store and the open-source software Python. The Python xarray library is used to read the data.

Hourly Data from 2000 to 2019

• Wind - Copernicus ERA5 dataset 17 by 27.5 km grid
  10m wind speed

• Wave - Copernicus Atlantic -Iberian Biscay Irish - Ocean Wave Reanalysis dataset 3 by 5 km grid

Accessibility

The maximum limits for Hs and wind speed are applied when mapping the accessibility of a site.
The Accessibility layer shows the percentage of time the Hs (Atlantic -Iberian Biscay Irish - Ocean Wave Reanalysis) and wind speed (ERA5) are below these limits for the month.

Input data is 20 years of hourly wave and wind data from 2000 to 2019, partitioned by month. At each timestep, the accessibility of the site was determined by checking if
the Hs and wind speed were below their respective limits. The percentage accessibility is the number of hours within limits divided by the total number of hours for the month.

Environmental data is from the Copernicus data store (https://cds.climate.copernicus.eu/). Wave hourly data is from the 'Atlantic -Iberian Biscay Irish - Ocean Wave Reanalysis' dataset.
Wind hourly data is from the ERA 5 dataset.

Availability

A device's availability to produce electricity depends on the device's reliability and the time to repair any failures. The repair time depends on weather
windows and other logistical factors (for example, the availability of repair vessels and personnel.). A 2013 study by O'Connor et al. determined the
relationship between the accessibility and availability of a wave energy device. The resulting graph (see Fig. 1 of their paper) shows the correlation between accessibility at Hs of 2m and wind speed of 15.0m/s and availability. This graph is used to calculate the availability layer from the accessibility layer.

The input value, accessibility, measures how accessible a site is for installation or operation and maintenance activities. It is the percentage time the
environmental conditions, i.e. the Hs (Atlantic -Iberian Biscay Irish - Ocean Wave Reanalysis) and wind speed (ERA5), are below operational limits.
Input data is 20 years of hourly wave and wind data from 2000 to 2019, partitioned by month. At each timestep, the accessibility of the site was determined
by checking if the Hs and wind speed were below their respective limits. The percentage accessibility is the number of hours within limits divided by the total
number of hours for the month. Once the accessibility was known, the percentage availability was calculated using the O'Connor et al. graph of the relationship between the two. A mature technology reliability was assumed.

Weather Window

The weather window availability is the percentage of possible x-duration windows where weather conditions (Hs, wind speed) are below maximum limits for the
given duration for the month.

The resolution of the wave dataset (0.05° × 0.05°) is higher than that of the wind dataset
(0.25° x 0.25°), so the nearest wind value is used for each wave data point. The weather window layer is at the resolution of the wave layer.

The first step in calculating the weather window for a particular set of inputs (Hs, wind speed and duration) is to calculate the accessibility at each timestep.
The accessibility is based on a simple boolean evaluation: are the wave and wind conditions within the required limits at the given timestep?

Once the time series of accessibility is calculated, the next step is to look for periods of sustained favourable environmental conditions, i.e. the weather
windows. Here all possible operating periods with a duration matching the required weather-window value are assessed to see if the weather conditions remain
suitable for the entire period. The percentage availability of the weather window is calculated based on the percentage of x-duration windows with suitable
weather conditions for their entire duration.The weather window availability can be considered as the probability of having the required weather window available
at any given point in the month.

Extreme Wind and Wave

The Extreme wave layers show the highest significant wave height expected to occur during the given return period. The Extreme wind layers show the highest wind speed expected to occur during the given return period.

To predict extreme values, we use Extreme Value Analysis (EVA). EVA focuses on the extreme part of the data and seeks to determine a model to fit this reduced
portion accurately. EVA consists of three main stages. The first stage is the selection of extreme values from a time series. The next step is to fit a model
that best approximates the selected extremes by determining the shape parameters for a suitable probability distribution. The model then predicts extreme values
for the selected return period. All calculations use the python pyextremes library. Two methods are used - Block Maxima and Peaks over threshold.

The Block Maxima methods selects the annual maxima and fits a GEVD probability distribution.

The peaks_over_threshold method has two variable calculation parameters. The first is the percentile above which values must be to be selected as extreme (0.9 or 0.998). The second input is the time difference between extreme values for them to be considered independent (3 days). A Generalised Pareto Distribution is fitted to the selected
extremes and used to calculate the extreme value for the selected return period.

National Monuments Service - Archaeological Survey of Ireland. Published by Department of Housing, Local Government and Heritage. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This Archaeological Survey of Ireland dataset is published from the database of the National Monuments Service Sites and Monuments Record (SMR). This dataset also can be viewed and interrogated through the online Historic Environment Viewer: https://heritagedata.maps.arcgis.com/apps/webappviewer/index.html?id=0c9eb9575b544081b0d296436d8f60f8

A Sites and Monuments Record (SMR) was issued for all counties in the State between 1984 and 1992. The SMR is a manual containing a numbered list of certain and possible monuments accompanied by 6-inch Ordnance Survey maps (at a reduced scale). The SMR formed the basis for issuing the Record of Monuments and Places (RMP) - the statutory list of recorded monuments established under Section 12 of the National Monuments (Amendment) Act 1994. The RMP was issued for each county between 1995 and 1998 in a similar format to the existing SMR. The RMP differs from the earlier lists in that, as defined in the Act, only monuments with known locations or places where there are believed to be monuments are included.

The large Archaeological Survey of Ireland archive and supporting database are managed by the National Monuments Service and the records are continually updated and supplemented as additional monuments are discovered. On the Historic Environment viewer an area around each monument has been shaded, the scale of which varies with the class of monument. This area does not define the extent of the monument, nor does it define a buffer area beyond which ground disturbance should not take place – it merely identifies an area of land within which it is expected that the monument will be located. It is not a constraint area for screening – such must be set by the relevant authority who requires screening for their own purposes. This data has been released for download as Open Data under the DPER Open Data Strategy and is licensed for re-use under the Creative Commons Attribution 4.0 International licence. http://creativecommons.org/licenses/by/4.0

Please note that the centre point of each record is not indicative of the geographic extent of the monument. The existing point centroids were digitised relative to the OSI 6-inch mapping and the move from this older IG-referenced series to the larger-scale ITM mapping will necessitate revisions. The accuracy of the derived ITM co-ordinates is limited to the OS 6-inch scale and errors may ensue should the user apply the co-ordinates to larger scale maps. Records that do not refer to 'monuments' are designated 'Redundant record' and are retained in the archive as they may relate to features that were once considered to be monuments but which on investigation proved otherwise. Redundant records may also refer to duplicate records or errors in the data structure of the Archaeological Survey of Ireland.

This dataset is provided for re-use in a number of ways and the technical options are outlined below. For a live and current view of the data, please use the web services or the data extract tool in the Historic Environment Viewer. The National Monuments Service also provide an Open Data snapshot of its national dataset in CSV as a bulk data download. Users should consult the National Monument Service website https://www.archaeology.ie/ for further information and guidance on the National Monument Act(s) and the legal significance of this dataset.

Open Data Bulk Data Downloads (version date: 23/08/2023)

The Sites and Monuments Record (SMR) is provided as a national download in Comma Separated Value (CSV) format. This format can be easily integrated into a number of software clients for re-use and analysis. The Longitude and Latitude coordinates are also provided to aid its re-use in web mapping systems, however, the ITM easting/northings coordinates should be quoted for official purposes. ERSI Shapefiles of the SMR points and SMRZone polygons are also available The SMRZones represent an area around each monument, the scale of which varies with the class of monument. This area does not define the extent of the monument, nor does it define a buffer area beyond which ground disturbance should not take place – it merely identifies an area of land within which it is expected that the monument will be located. It is not a constraint area for screening – such must be set by the relevant authority who requires screening for their own purposes.

GIS Web Service APIs (live views):

For users with access to GIS software please note that the Archaeological Survey of Ireland data is also available spatial data web services. By accessing and consuming the web service users are deemed to have accepted the Terms and Conditions. The web services are available at the URL endpoints advertised below:

SMR; https://services-eu1.arcgis.com/HyjXgkV6KGMSF3jt/arcgis/rest/services/SMROpenData/FeatureServer

SMRZone; https://services-eu1.arcgis.com/HyjXgkV6KGMSF3jt/arcgis/rest/services/SMRZoneOpenData/FeatureServer

Historic Environment Viewer - Query Tool

The "Query" tool can alternatively be used to selectively filter and download the data represented in the Historic Environment Viewer. The instructions for using this tool in the Historic Environment Viewer are detailed in the associated Help file: https://www.archaeology.ie/sites/default/files/media/pdf/HEV_UserGuide_v01.pdf...

This datapackage contains a range of outputs from the Multi-Objective decions making and constraint mapping supporting Irish west coast floating windfarm development option (SFI 13/RC/2092) project. The package contains a number of raw datasets, modelled/derived datasets andseveral ArcGIS Pro map packages. The associated Read Me and Walktrhough documents contain the details of each of the datasets/data layers.

ArcGIS for Schools Programme, Esri Ireland

This data layer gives values of summed wave fetch in 32 angular sectors around focal cells, using a model modified from that given in Burrows et al (2012 - see reference). Wave fetch is the distance to the nearest land in a defined direction. The model performs a three-scale search for land around each cell in the model, sparsely (every 10km) up to 200km, every 1km up to 20km away, and every 100m up to 1km distant.Values represent the log base 10 of the summed distance to the nearest land (as the number of 200m grid cell units) across all 32 11.5° sectors. The file is a GeoTIFF using the Ordnance Survey projection.

For more information on this dataset please go to https://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/5f1999f0-37e4-4c14-acf8-3b42bfdae894The Teagasc Subsoils map classifies the subsoils of Ireland into 16 themes, using digital stereo photogrammetry supported by field work. Produced by Teagasc (Kinsealy), EPA and GSI.The dataset was created using a compilation of existing data, photogrammetric mapping, field studies. Soil survey maps, Quaternary maps and published and unpublished reports were complied and boundaries between sediment types are interpreted and mapped using photo-interpretation in a soft copy photogrammetric workstation with digital stereo-pairs of black and white photography acquired at a scale of 1:40,000. Fieldwork was carried out, around the flanks of large bogs delineate the exact boundary between peat and mineral soils but predominantly within the boundary zones of differencing subsoils. Areas mapped during the photogrammetric analysis were also checked during the fieldwork. Methods adopted during field mapping include reconnaissance mapping, auger sampling, trenching, digital photography and GPS data recording. Aerial photography datasets involved in mapping were acquired in 1995 while field data collected was collected during 1998-2005.The classification of subsoils is based on the classification used by the Geological Survey of Ireland Quaternary Section in mapping Quaternary sediment types.This classification has been altered only to ensure utility specific to the requirements of the EPA Soil and Subsoil Mapping Project. (Please refer to "Teagasc-EPA Soils and Subsoils Mapping Project - Final Report" for more information. Available for download at https://gis.epa.ie)

For more information on this dataset please go to https://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/2cd0c5e9-83b2-49a9-8c3e-79675ffd18bfSIS SOIL:The new Irish Soil Information System concludes a 5 year programme, supported by the Irish Environmental Protection Agency (STRIVE Research Programme 2007-2013) and Teagasc, to develop a new 1:250,000 scale national soil map (https://soils.teagasc.ie). The Irish Soil Information System adopted a unique methodology combining digital soil mapping techniques with traditional soil survey application. Developing earlier work conducted by An Foras Talúntais, the project generated soil-landscape models for previously surveyed counties. These soil-landscape (‘soilscape’) models formed the basis for training statistical ‘inference engines’ for predicting soil mapping units, checked during field survey. 213 soil series are identified, each with differing characteristics, having contrasting environmental and agronomic responses. Properties were recorded in a database able to satisfy national and EU policy requirements. The Irish soil map and related soil property data will also serve public interest, providing the means to learn online about Irish soil resources. Use the Symbology layer file 'SOIL_SISNationalSoil.lyr' based on Value Field 'Association_Unit'. SIS SOIL DRAINAGE:In Ireland, soil drainage category is considered to have a predominant influence on soil processes (Schulte et al., 2012). The maritime climate of Ireland drives wet soil conditions, such that excess soil moisture in combination with heavy textured soils is considered a key constraint in relation to achieving productivity and environmental targets. Both soil moisture content and the rate at which water drains from the soil are critical indicators of soil physical quality and the overall functional capacity of soil. Therefore, a natural extension to the Irish Soil Information System included the development of an indicative soil drainage map for Ireland. The soil subgroup map was used to develop the indicative drainage map, based on diagnostic criteria relating to the subgroup categorization. Use the Symbology layer file 'SOIL_SISSoilDrainage.lyr' based on Value Field 'Drainage'. SIS SOIL DEPTH: Soil depth is a measure of the thickness of the soil cover and reflects the relationship between parent material and length of soil forming processes. Soil depth determines the potential rooting depth of plants and any restrictions within the soil that may hinder rooting depth. Plants derive nearly 80 per cent of their water needs from the upper part of the soil solum, i.e. where the root system is denser. The rooting depths depend on plant physiology, type of soil and water availability. Generally, vegetables (beans, tomatoes, potatoes, parsnip, carrots, leek, broccoli, etc.) are shallow rooted, about 50–60 cm; fruit trees and some other plants have medium rooting depths, 70–120 cm and other crops such as barley, wheat, oats, and maize may have deeper roots. Furthermore, rooting depths vary according to the age of the plants. The exact soil depth is difficult to define accurately due to its high variability across the landscape. The effective soil depth can be reduced by the presence of bedrock or impermeable layers. Use the Symbology layer file 'SOIL_SISSoilDepth.lyr' based on Valued Field 'Depth'. SIS SOIL TEXTURE:Soil texture is an important soil characteristic that influences processes such as water infiltration rates, rootability, gas exchanges, leaching, chemical activity, susceptibility to erosion and water holding capacity. The soil textural class is determined by the percentage of sand, silt, and clay. Soil texture also influences how much water is available to the plant; clay soils have a greater water holding capacity than sandy soils. Use the Symbology layer file 'SOIL_SISSoilTexture.lyr' based on Value Field 'Texture'. SIS SOIL SOC:In the previous national soil survey conducted by An Foras Taluntais, 14 counties were described in detail with soil profile descriptions provided for the representative soil series found within a county. Soil samples were taken at each soil horizon to a depth of 1 meter and analyses performed for a range of measurements, including soil organic carbon, texture, cation exchange capacity, pH; however in most cases no bulk density measurements were taken. This meant that while soil organic carbon concentrations were available this could not be related to a stock for a given soil series. In 2012/2013, 246 profile pits were sampled and analysed as part of the Irish Soil Information System project to fill in gaps in the description of representative profile data for Ireland. Use the Symbology layer file 'SOIL_SISSoilSOC.lyr' based on Value Field 'SOC'.

This data represents the latest version of the bedrock geological dataset for the Rep of Ireland at the 1:100,000 scale digital geological map series. The dataset comprises 4 key feature-classes. 1) Bedrock Rock Units 1:100k - A polygon shapefile that contains bedrock geological information on Stratigraphy, Igneous, Lithology and Diagentic codes, their unitnames and brief descriptions. 2) Bedrock Stratigraphic and Structural lines 1:100k - A linework shapefile that contains structural geological linework codes, stratigraphic geological line codes and descriptions and map sheet cross sections as per paper printed maps. 3) Bedrock Structural Symbols 1:100k - A point shapefile that contains selected structural data from the 19th century 6" mapping. 4) Bedrock Outcrop - A polygon shapefile that contains outcrop locations from the 19th century 6" inch mapping and other sources such as mineral exploration reports

Preston, R. and Mills, P., 2002. Generation of a Hydrologically Corrected Digital Elevation Model for the Republic of Ireland. Unpublished report submitted to EPA by Compass Informatics as part of the 2000-LS-2.2.2 Fourth Progress Report.Ordnance Survey Ireland (OSi) 1:50,000 data was used to create it. Individual DEMs were generated for hydrometric areas for the Republic of Ireland, including the coastal islands of Ireland at grid resolution of 20m. The project required significant pre-processing of source data to facilitate the generation of DEMs but the end result is a hydrologically corrected digital representation of terrain for the whole of the country, suitable for numerous environmental applications. Contours at 10m intervals were generated from the hDTM.Digital Terrain Models (DTM) are bare earth models (no trees or buildings) of the Earth’s surface.The map is a vector dataset. The contours are shown as lines. Each line has info on the contour interval and an ID.

The Integrated Mapping for the Sustainable Development of Ireland’s Marine Resource (INFOMAR) programme is a joint venture between the Geological Survey Ireland (GSI) and the Marine Institute (MI). The Grab Sample shapefile Dataset is an auxillary Dataset used for ground truthing which is essential in the production of sediment classification maps. Samples are collected on an ongoing adhoc and targeted basis. Samples are collected onboard research Vessels, Analysised onboard but also further analysed on shore for Partical Size Analyisis (PSA). Samples are logged and ssave as a database along with Spatial information. Data is compiled in a shapefile database and Stored in an online sharpoint location shared with joint partners GSI. The Grab Sample shapefile Dataset is an auxillary Dataset used for ground truthing which is essential in the production of sediment classification maps

Commonage Framework Planning was a joint initiative between the National Parks and Wildlife Service and the Department of Agriculture and Food. Teams combining agricultural and ecological skills to assess the sustainable use of these areas have surveyed all known commonage areas in Ireland.

To date in excess of 4,400 plans have been prepared, covering more than 440,000 hectares. Where necessary, destocking (removal of some of the stock kept on commonage) was prescribed to ensure recovery of the vegetation. These plans have been implemented through REPS, AEOS and the NPWS Farm Plan Scheme, as relevant, from 1999 - 2012.

A commitment has been made to monitor the condition of commonages to demonstrate, in particular, that initiatives are delivering recovery in overgrazed areas and that undergrazing is not becoming a problem. Ireland also has obligations to monitor the state of SACs containing uplands and peatlands in non-commonage areas. This involves a reassessment of habitats in commonage areas, some of which were assessed as early as 1999, and also non-commonage areas.

Planning teams comprising both agriculturalists and environmentalists have been trained and re-surveys have been completed in commonage blocks in Counties Mayo, Galway, Cork, Kerry, Donegal, Sligo, Leitrim, Tipperary, Limerick and Louth between 2004 and 2010. Monitoring reports have been forwarded to the EU Commission highlighting the findings and trends. Additional survey work in 2007 focussed on Counties Mayo, Donegal and Kerry. In 2008, all commonage that had a destocking of greater than 50% were re-assessed.

In this context GIS files were set up to describe: - Destocking rates assigned to Agricultural Units - Habitat types and damage categories assigned to Agricultural Sub-Units and - Locations of Base-Stations and habitat types / damage categories recorded at these stations

A review of all the Commonage Framework Plans, setting sustainable stocking rates, will conclude in 2012 and will be communicated to all shareholders by the Department of Agriculture, Food and the Marine. This information is not contained here.

This map shows drainage classes of soils across Ireland based on examination of the soil profile. Organic soils, comprising either peat or alluvium, are separated out from four drainage classes across mineral soils; well drained, imperfectly drained, poorly drained or very poorly drained. Made ground in urban areas is also illustrated.

This water flow network dataset is a route feature class rather than a simple polyline. The geometry is generated by merging the river lines of individual geometric network datasets. This layer contains an integrated flow network that includes known flow connections through rivers, lakes and groundwater aquifers. In places where the network is depicted flowing through lakes or through underground channels, the flow channels are schematic only, and do not represent the precise location of these flow channels. The appropriate Geological Survey Ireland data sets should be consulted where underground flows or connections are known or suspected.This dataset is provided by the Environmental Protection Agency (EPA). For more information please see https://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/c4043e19-38ec-4120-a588-8cd01ac94a9c

This national rivers dataset is a route feature class rather than a simple polyline. The geometry is generated by merging the river lines of individual geometric network datasets.

The BRITICE-CHRONO project measured 639 new geochronometric ages that constrain the timing of advance and retreat of the last British-Irish Ice Sheet between 31,000 and 15,000 years ago, including across the North Sea. These ages (optically stimulated luminescence, radiocarbon and terrestrial cosmogenic nuclide methods) are made available in an excel spreadsheet, along with all sample and laboratory metadata and calibrations. Together with other published information, the ages were used to build an empirical ice sheet reconstruction at one thousand year time-steps. A poster-map and slideshow (PDF) of the reconstruction (31 to 15 ka) and the underlying GIS data (ArcGIS shapefiles) of ice extents (min, max and optimum) are made available here. An ice sheet model was nudged to fit these ice limits and the ensuing model-reconstruction is made available as a poster-map, slideshow (PDF) and movie (GIF) of the reconstruction (31 to 15 ka). The GIS data is also available including grounded ice extent and ice shelves, ice thickness, ice surface elevation, and ice velocity (as ArcGIS grids). From glacio-isostatic adjustment modelling we also provide digital elevation models of the palaeotopography of the British Isles and surrounding sea floors and coastline positions from 36 to 1 ka (ArcGIS grids and shapefiles). Full methods, descriptions, caveats and interpretations are available in the parent paper to this dataset: Clark. C.D. et al. (2022) Growth and retreat of the last British-Irish Ice Sheet, 31,000 to 15,000 years ago: the BRITICE-CHRONO reconstruction, Boreas.

The European Environment Agency, as lead authority under the Copernicus Land Monitoring Service, co-ordinate the development of Pan European datasets. One of the products produced by the EEA under this programme are the "High Resolution Datasets" which are a data series covering numerous different thematic land uses / land covers. Comparable data is produced across Europe using earth observation methods developed in partnership with private industry. The Environmental Protection Agency, as members of the European network EIONET, provides data quality assessments and disseminates the data for Ireland.

The EEA have produced a Forest data series under the High Resolution Layer programme. This consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100% 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous 3. A Forest type product. In addition to these datasets there is a tree cover density change product comprising a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes).

The EPA currently only hosts the Tree Cover Density and Dominant Leaf Type for 2015 on their GeoPortal as the datasets that were assessed and verified by the national team. The full data series can be accessed and downloaded on the Copernicus Land Monitoring Service website via the following link. Full technical details of the forest data series are available here.

Collated substrate data in the Irish Designated Shelf Area. Substrates are classified using modified Folk categories facilitating an easy transition to EUNIS. Survey and classification techniques depend on the original source/data creator of the individual component subsatrate maps that make up the entire dataset. Data contributors include the Marine Institute (Ireland), Geological Survey of Ireland, INSS, INFOMAR, HabMap, Irish Sea Fisheries, National Parks and Wildlife Service, Coastal and Marine Research Centre, and the Joint Nature Conservation Committee (UK).

Amharcóir Pleanála Teanga GIS / Language Planning Viewer GIS. Published by n/a. Available under the license n/a (n/a).# About the Author/Organisation

The Department of Tourism, Culture, Arts, Gaeltacht, Sport and Media works across tourism, culture, language, sports, media and broadcasting to promote economic growth, social well-being and Irish identity.

About the Project

The Geographic Information System (GIS) is a facility which provides information, using a map viewer, in relation to the use of Irish as it relates to:

1. the definition of Gaeltacht Language Planning Areas;
2. towns which may be recognised as Irish Language Service Towns under the language planning process; and
3. the use of Irish in the Irish Language Networks recognised under the process.

In the new version of the map viewer, information is provided - in collaboration with the CSO - according to Gaeltacht language planning areas as they relate to the results of the 2011 and 2016 Censuses as well as details on the use of Irish in towns which might be recognised under the process as Gaeltacht Service Towns, together with details on the use of Irish in the Irish Language Networks recognised under the process.

In addition to details relating to the use of Irish in these areas, information is also provided, in collaboration with the Department of Education and Skills and the Department of Children and Youth Affairs respectively, on the location and roles of primary and post-primary schools for the 2016/17 school year, as well as details pertaining to the early education sector in the Gaeltacht.

Why it's a Showcase

The information was gathered from the Ordnance Survey Ireland (OSi) and the Central Statistics Office (CSO) Census 2016 Open Data site.(http://census2016.geohive.ie). The project makes data on the use of Irish in various regions, Gaeltacht areas, and educational institutions readily available. This transparency fosters public understanding and engagement with Irish language initiatives. The data can be used to analyse trends, identify areas needing support, and develop targeted strategies to promote the use of Irish.

Impact of the Showcase

Open access to this data empowers researchers to study language use patterns and language revitalisation efforts. Making this data accessible fosters public awareness about the status of the Irish language, potentially leading to increased engagement with the language and its preservation.

Maidir leis an Údar/Eagraíocht

Bíonn an Roinn Turasóireachta, Cultúir, Ealaíon, Gaeltachta, Spóirt agus Meán ag obair ar fud na turasóireachta, cultúir, teanga, spórt, na meán agus craoltóireachta le fás eacnamaíochta, folláine shóisialta agus féiniúlacht na hÉireann a chur chun cinn.

Maidir leis an Togra

Is áis é an Córas Faisnéise Geografaí (GIS) ina gcuirtear eolas ar fáil, ag úsáid amharcóir mapa, maidir le húsáid na Gaeilge mar a bhaineann sé:

1. leis na Limistéir Pleanála Teanga Ghaeltachta;
2. le bailte a d'fhéadfadh a bheith aitheanta mar Bhailte Seirbhíse Ghaeltachta faoin bpróiseas pleanála teanga; agus
3. le húsáid na Gaeilge sna Líonraí Gaeilge atá aitheanta faoin bpróiseas.

San eagrán nua den amharcóir mapa, tá eolas curtha ar fáil - i gcomhar leis an bPríomh-Oifig Staidrimh - ar bhonn limistéar pleanála teanga Gaeltachta mar a bhaineann sé le torthaí Dhaonáirimh 2011 agus 2016 chomh maith le sonraí maidir le húsáid na Gaeilge sna bailte a d'fhéadfadh a bheith aitheanta faoin bpróiseas mar bhailte seirbhíse Gaeltachta, in éindí le sonraí faoi úsáid na Gaeilge sna Líonraí Gaeilge atá aitheanta faoin bpróiseas.

Chomh maith le sonraí maidir le húsáid na Gaeilge sna ceantair seo, cuirtear eolas i láthair chomh maith, i gcomhar leis an Roinn Oideachais agus Scileanna agus leis an Roinn Leanaí agus Gnóthaí Óige faoi seach, maidir le suíomhanna agus rollú bunscoileanna agus iar-bhunscoileanna i leith na scoilbhliana 2016/17, chomh maith le sonraí faoin earnáil luathoideachais sa Ghaeltacht.

Cad a Dhéanann Taispeántas de

Fuarthas an fhaisnéis ó Shuirbhéireacht Ordanáis Éireann (OSi) agus ón bPríomh-Oifig Staidrimh (CSO) trí Shuíomh Sonraí Oscailte Dhaonáireamh 2016 (http://census2016.geohive.ie). Déanann an togra sonraí a chur ar fáil go furasta a bhaineann le húsáid na Gaeilge i réimse de cheantair, ceantair Ghaeltachta, agus in institiúidí oideachais. Cothaíonn an trédhearcacht seo tuiscint agus rannpháirtíocht phoiblí le tograí Gaeilge. Is féidir úsáid a bhaint as na sonraí le hanailís a dhéanamh ar threochtaí, ceantair a shainaithint a bhfuil tacaíocht uathu, agus le straitéisí spriocdhírithe a fhorbairt le húsáid na Gaeilge a chur chun cinn.

Tionchar an Taispeántais

Cumasaíonn rochtain oscailte ar na sonraí seo taighdeoirí chun staidéar a dhéanamh ar phatrúin úsáide teanga agus ar iarrachtaí athneartaithe teanga. Trí na sonraí seo a chur ar fáil go furasta déantar tuiscint phoiblí a chothú maidir le stádas na Gaeilge, rud a d’fhéadfadh rannpháirtíocht leis an teanga agus caomhnú na teanga a mhéadú. ...