Mean average wind speeds in metres per second (m/s) at 100m height. These datasets cover the land area and coastal waters of Ireland (ex. Northern Ireland). Data compilation was completed in 2003. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's 2003 datasets of wind characteristics assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).

Mean average wind speeds in metres per second (m/s) at 50m height. These datasets cover the land area and coastal waters of Ireland (ex. Northern Ireland). Data compilation was completed in 2003. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's 2003 datasets of wind characteristics assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).

Mean average wind speeds in metres per second (m/s) at 75m height. These datasets cover the land area and coastal waters of Ireland (ex. Northern Ireland). Data compilation was completed in 2003. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's 2003 datasets of wind characteristics assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).

This file contains the names and codes for Census area statistics wards in the UK as at January 2003. Census area statistics (CAS) wards are used for 2001 Census outputs (File Size 263KB).REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/WDCAS_JAN_2003_UK_NC_a5519664f7e24513b61650eedba081f0/FeatureServer

This file provides a rural-urban view of 2003 Census Area Statistics (CAS) Wards in England and Wales. The ZIP file contains the Rural Urban Classification in XLSX and CSV format and includes a user guide. The files were originally from the NeSS website. Click on the Download button to download the ZIP file.The classification of rural and urban areas is the outcome of a project co-sponsored by:Office for National Statistics (ONS);Department for Environment, Food and Rural Affairs (Defra);Office of the Deputy Prime Minister (now Communities and Local Government);Countryside Agency (CA); andNational Assembly for Wales (NAW).The classification was developed in 2004 by a consortium co-ordinated by Prof. John Shepherd from Birkbeck College. The technical work was lead by Peter Bibby of University of Sheffield and the project also involved the University of Glamorgan and Geowise. The rural and urban classification of Output Areas, Super Output Areas and Wards (this dataset) has been provided to enable datasets to be analysed according to the classification. This provides a powerful tool for the development and monitoring of rural and urban policies.Please Note: Wards do not have all the same classification codes as the OA level Dataset. For Wards and SOAs the classifications for ‘Villages, Hamlets and Isolated Dwellings’ has been combined.Similar procedures to those used to classify Output Areas apply to the classification for the 8,850 CAS Wards in England and Wales. However the morphological classification differs in the number of categories as very few wards can be classified as predominantly dispersed settlements. Wards are categorised into just three domains: urban 10k, town and fringe and villages, hamlets and isolated dwellings. See key below:2005 Rural and Urban morphology indicator1 - denotes predominantly urban >10k2 - denotes predominantly town and fringe3 - denotes other rural (including village, hamlet and isolated dwellings)2005 Rural and Urban context indicator0 - denotes less sparsely populated areas1 - denotes sparsely populated areas

This file contains names and codes for standard table (ST) wards in England and Wales as at 31 January 2003 (File Size 184KB).REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/WDSTB_JAN_2003_EW_NC_4c603d65fe68485aa6d5344f55e17147/FeatureServer

Find key information on state library agencies.These data include imputed values for state libraries that did not submit information in this data collection.Imputation is a procedure for estimating a value for a specific data item where the response is missing.Download SLAA data files to see imputation flag variables or learn more on the imputation methods at https://www.imls.gov/research-evaluation/data-collection/state-library-administrative-agency-survey

Find key information on state library agencies.These data include imputed values for state libraries that did not submit information in this data collection.Imputation is a procedure for estimating a value for a specific data item where the response is missing.Download SLAA data files to see imputation flag variables or learn more on the imputation methods at https://www.imls.gov/research-evaluation/data-collection/state-library-administrative-agency-survey

Find key information on state library agencies.These data include imputed values for state libraries that did not submit information in this data collection.Imputation is a procedure for estimating a value for a specific data item where the response is missing.Download SLAA data files to see imputation flag variables or learn more on the imputation methods at https://www.imls.gov/research-evaluation/data-collection/state-library-administrative-agency-survey

The West Virginia Department of Environmental Protection (WVDEP) makes oil and gas well information and production data available to the general public through this internet service free of charge. The oil and gas related data originate from the information reported to the Office of Oil and Gas at WVDEP by West Virginia oil and gas operators. The WVDEP does not guarantee their accuracy, precision, or completeness. Neither the WVDEP nor its staff members are liable or responsible for any damage or loss resulting from the use of these data or from inaccuracies contained in the data. We encourage you to report any problems, inconsistencies, or errors noted in using this daAllItems.aspxta to the Office of Oil and Gas so that we can correct them and provide better service.

Wind power densities in watts per square metre (W/m²) at 100m height. These datasets cover the land area and coastal waters of Ireland (ex. Northern Ireland), and emanate from a 2003 wind mapping project. The 2003 project reported that some experts regarded mean wind power density as a more accurate indicator of the wind resource. Wind power density (ρw), which depends on the air density (ρ) and the cube of the mean wind speed (V), is calculated by formula: ρw = 0.5ρV³. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's 2003 datasets of wind characteristics assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).

Wind power densities in watts per square metre (W/m²) at 50m height. These datasets cover the land area and coastal waters of Ireland (ex. Northern Ireland), and emanate from a 2003 wind mapping project. The 2003 project reported that some experts regarded mean wind power density as a more accurate indicator of the wind resource. Wind power density (ρw), which depends on the air density (ρ) and the cube of the mean wind speed (V), is calculated by formula: ρw = 0.5ρV³. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's 2003 datasets of wind characteristics assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).

Wind power densities in watts per square metre (W/m²) at 75m height. These datasets cover the land area and coastal waters of Ireland (ex. Northern Ireland), and emanate from a 2003 wind mapping project. The 2003 project reported that some experts regarded mean wind power density as a more accurate indicator of the wind resource. Wind power density (ρw), which depends on the air density (ρ) and the cube of the mean wind speed (V), is calculated by formula: ρw = 0.5ρV³. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's 2003 datasets of wind characteristics assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).