READ ME File For :
 
'Geospatial dataset of constraints and availability for offshore wind in UK waters'
 
Dataset DOI: https://doi.org/10.5258/SOTON/D2320
Date that the file was created: July, 2022
 
ReadMe Author: Hugo Putuhena, University of Southampton [https://orcid.org/0000-0003-1947-6984]
Related projects: Spatial mapping of Offshore Renewable Energy funded by 
(EPSRC grant ref. EP/S000747/1), the RAEng Centre of Excellence in Intelligent & Resilient Ocean Engineering (IROE) and Southampton Marine and Maritime Institute (SMMI).

This dataset supports the publication:
AUTHORS: Putuhena, H., White, D., Gourvenec, S., and Sturt, F.
TITLE: 'Finding space for offshore wind to support net zero: A methodology to assess spatial constraints and future scenarios, illustrated by a UK case study'
JOURNAL: Renewable Energy and Sustainability Review* (submitted)
DOI: -
Links/relationships to ancillary or related data sets: Dashboards link (https://storymaps.arcgis.com/collections/3c485282571142f28de577b957a0b348) 
 
This dataset contains the geospatial dataset used for the spatial data analysis, producing figures, and setting up interactive dashboards  of the manuscript 'Finding space for offshore wind to support net zero: Spatial constraints and future scenarios in UK waters' in Renewable Energy and Sustainability Review* (accepted)
 
Date of data collection: Sep 2021 - March 2022
Information about geographic location of data collection: University of Southampton, U.K.
 
The dataset contains 8 shapefiles data. 
List of files are:
1. ED50_UK_EEZ_Anthropogenic_Feature_Layers.shp
This file contains layers of different anthropogenic constraints for offshore wind in UK-EEZ waters.
This file is used to generate Fig.6,9 in manuscript and Dashboard [1].
This file contains 4 variables and 214,593 rows.
The variables are:
o Constraints type
* see Table.1 in the manuscript for the constraint referred by each abbreviation
* the constraints type for each feature where identified through the analysis of data that were obtained from: The Crown Estate, The Crown Estate Scotland, EMODNET Human Activities, OGA portal, Admiralty Datahub, Edina Digimap/OceanWise, CEFAS, Historic England, Lle: A Geo-Portal for Wales, NATS, Natural England, Open Data NI, DEFRA, and Data gov UK - see further details on Supplementary Table.1 in 'Finding space for offshore wind to support net zero: Spatial constraints and future scenarios in UK waters'. 
* Data type: text
o IHO_SEA/sea region name 
* Data obtained from Flanders Marine Institute, 2020 http://www.marineregions.org
* Data type: text
o Shape_Length 
* Data unit: metre
* Data type: double
o Shape_Area
* Data unit: metre2
* Data type: double
2. ED50_UK_EEZ_Geological_Feature_Layers.shp
This file contains layers of different anthropogenic constraints for offshore wind in UK-EEZ waters.
This file is used to generate Fig.7,9 in manuscript and Dashboard [1].
This file contains 4 variables and 14,622 rows.
The variables are:
o Constraints type 
* see Table.1 in the manuscript for the constraint referred by each abbreviation
* Data type: text
* the constraints type for each feature where identified through the analysis of data that were obtained from: EMODNET Bathymetry, EMODNET GEO, Edina Digimap//BGS, JNCC - see further details on Supplementary Table.1 in 'Finding space for offshore wind to support net zero: Spatial constraints and future scenarios in UK waters'. 
o IHO_SEA/sea region name
* Data obtained from Flanders Marine Institute, 2020 http://www.marineregions.org
* Data type: text
o Shape_Length 
* Data unit: in metre
* Data type: double
o Shape_Area
* Data unit: metre2
* Data type: double
3. ED50_UK_EEZ_Ecological_Feature_Layers.shp
This file contains layers of different anthropogenic constraints for offshore wind in UK-EEZ waters.
This file is used to generate Fig.8,9 in manuscript and Dashboard [1].
This file contains 4 variables and1,499 rows.
The variables are:
o Constraints type 
* see Table.1 in the manuscript for the constraint referred by each abbreviation
* the constraints type for each feature where identified through the analysis of data that were obtained from: EMODNET BIO, JNCC, and DEFRA - see further details on Supplementary Table.1 in 'Finding space for offshore wind to support net zero: Spatial constraints and future scenarios in UK waters'. 
* Data type: text
o  IHO_SEA/sea region name  
* Data obtained from Flanders Marine Institute, 2020 http://www.marineregions.org
* Data type: text
o Shape_Length 
* Data unit: metre 
* Data type: double
o Shape_Area
* Data unit: metre2
* Data type: double
4. ED50_UK_EEZ_Wind_Speed_Layer.shp
This file contains layers of wind speed data (from average 30 years from Met Office, 2015) in every grid (up to 10km2) in UK-EEZ waters.
This file is used to generate Fig.5 in manuscript and Dashboard [1&3].
This file contains 8 variables and 76,809 rows.
The variables are:
o IHO_area_n/sea region name  
* Data obtained from Flanders Marine Institute, 2020 http://www.marineregions.org
* Data type: text
o Emod_bath/water depth 
* Data obtained from EMODNET-Bathymetry (https://doi.org/10.12770/bb6a87dd-e579-4036-abe1-e649cea9881a)
* Data unit: metre
* Data type: integer
o Emod_bath_c/water depth classification
* Classified into 0-60m, 60-227m, and 227-1000m
* Data type: integer
o WindSp_Ave_30year/30 years average of wind speed at 110 m hub
* Data obtained from Marine Data Exchange/Met Office, 2015 link:(2015, Met Office, UK Offshore Wind Resource Dataset | Marine Data Exchange)
* Data unit: metre/second
* Data type: double
o Wind_speed_ty/the wind speed classification
* Classifiied based on the percentile (0-10, 10-20, 20-30, 30-60, 60-100%)
* Data type: text
o Dist_t_shore_int/Distance from grid to nearest shore 
* Data unit: metre
* Data type: integer
o Shape_Length 
* Data unit: metre
* Data type: double
* [in metre] 
o Shape_Area
* Data unit: metre2
* Data type: double
5. ED50_UK_EEZ_Anthro_Geo_Eco_Constraints_in_number.shp
This file contains the data of amount of each feature constraint layers for every grid (up to 10km2) in UK-EEZ waters.
This file is used to generate Fig.14 & Dashboard [1].
This file contains 11 variables and 76,809 rows.
The variables are:
o IHO_area_n/sea region name  
* Data obtained from Flanders Marine Institute, 2020 http://www.marineregions.org
* Data type: text
o Emod_bath/water depth 
* Data obtained from EMODNET-Bathymetry (https://doi.org/10.12770/bb6a87dd-e579-4036-abe1-e649cea9881a)
* Data unit: metre
* Data type: integer
o Emod_bath_c/water depth classification
* Classified into 0-60m, 60-227m, and 227-1000m
* Data type: text
o AC_constraint
* Provides amount of anthropogenic layers that exist in each grid
* Data type: integer
o GC_constraint
* Provides amount of geological layers that exist in each grid
* Data type: integer
o EC_constraint
* Provides amount of ecological layers that exist in each grid
* Data type: integer
o GC_constraint
o Wind_speed_ty/the wind speed classification
* Data based on the percentile (0-10, 10-20, 20-30, 30-60, 60-100%) of wind speed of 30 years average at 110m hub from Marine Data Exchange/Met Office, 2015 link:(2015, Met Office, UK Offshore Wind Resource Dataset | Marine Data Exchange) 
* Data type: text
o Dist_t_shore_int/Distance from grid to nearest shore 
* Data unit: metre
* Data type: integer
* [in metre]
o Shape_Length 
* Data unit: metre
* Data type: double
* [in metre] 
o Shape_Area
* Data unit: metre2
* Data type: double
* [in metre2]
o Area_length_ratio
* Area_length_ratio=Shape_Length/Shape_Area*1/1000 
* Data unit: kilometre/metre2
* Data type: double
6. ED50_UK_EEZ_Precalibrated_availability_level_in_UK_EEZ_outside_current_OW_leased_sites.shp
This file contains the quantitative availability level - see Section 2 in the manuscript for every grid (up to 10km2) in UK-EEZ waters outside the current OW leased sites.
This file is used to generate Fig.10-12,15 & Dashboard [2].
This file contains 12 variables and 108,989 rows.
The variables are:
o IHO_area_n/sea region name  
* Data obtained from Flanders Marine Institute, 2020 http://www.marineregions.org
* Data type: text
o Emod_bath/water depth 
* Data obtained from EMODNET-Bathymetry (https://doi.org/10.12770/bb6a87dd-e579-4036-abe1-e649cea9881a)
* Data unit: metre
* Data type: integer
o Emod_bath_c/water depth classification
* Classified into 0-60m, 60-227m, and 227-1000m
* Data type: text
o Dist_t_shore_int/Distance from grid to nearest shore 
* Data unit: metre
* Data type: integer
o Qt_Avai_Le/Quantitative availability level
* Provide the amount of co-usage+co-location layers in each grid 
* Data type: integer
o Qt_Avai_Le_c/Quantitative availability level classification
* Defined the amount of co-usage+co-location layers in each grid:
* 0 layer/constraint = clear water area
* 0-12 layer/constraint = co-usage/co-location area
* 999 or null layer/constraint = no-go area
* Data type: integer
o Cousage_n/Cousage identifier
* Defined the presence of co-usage layers in each grid:
* 0 layer/constraint = no co-usage
* >0 = co-usage exist
o Shape_Length 
* Data unit: metre
* Data type: double
o Shape_Area
* Data unit: metre2
* Data type: double
o ShapeArea_in_Km2
* Data unit: kilometre2
* Data type: double
o Area_length_ratio
* Area_length_ratio=Shape_Length/Shape_Area*1/1000 
* Data unit: kilometre/metre2
* Data type: double
7. ED50_UK_EEZ_Precalibrated_availability_level_in_current_OW_leased_sites.shp
This file contains the quantitative availability level - see Section 2 in the manuscript for every grid (up to 10km2) in current OW leased sites.
This file is used to generate Fig.12-13,15e & Dashboard [2].
This file contains 13 variables and 3,216 rows.
The variables are:
o IHO_area_n/sea region name  
* Data obtained from Flanders Marine Institute, 2020 http://www.marineregions.org
* Data type: text
o Emod_bath/water depth 
* Data obtained from EMODNET-Bathymetry (https://doi.org/10.12770/bb6a87dd-e579-4036-abe1-e649cea9881a)
* Data unit: metre
* Data type: integer
o Emod_bath_c/water depth classification
* Classified into 0-60m, 60-227m, and 227-1000m
* Data type: text
o Dist_t_shore_int/Distance from grid to nearest shore 
* Data unit: metre
* Data type: integer
o CuOW_site/CuOW_site
* Current OW leased site name: based on The Crown Estate data - link (Offshore Wave Site Agreements (England, Wales & NI), The Crown Estate | Offshore Wave Site Agreements (England, Wales & NI), The Crown Estate | The Crown Estate Open Data Portal (arcgis.com))/TCE Scotland data - link (Documents - Resources - Crown Estate Scotland)
* Data type: text
o Qt_Avai_Le/Quantitative availability level
* Provide the amount of co-usage+co-location layers in each grid 
* Data type: integer
o Qt_Avai_Le_c/Quantitative availability level classification
* Defined the amount of co-usage+co-location layers in each grid:
* 0 layer/constraint = clear water area
* 0-12 layer/constraint = co-usage/co-location area
* 999 or null layer/constraint = no-go area
* Data type: integer
o Cousage_n/Cousage identifier
* Defined the presence of co-usage layers in each grid:
* 0 layer/constraint = no co-usage
* >0 = co-usage exist
* Data type: integer
o Shape_Length 
* Data unit: metre
* Data type: double
o Shape_Area
* Data unit: metre2
* Data type: double
o ShapeArea_in_Km2
* Data unit: kilometre2
* Data type: double
o Area_length_ratio
* Area_length_ratio=Shape_Length/Shape_Area*1/1000 
* Data unit: kilometre/metre2
* Data type: double
8. ED50_UK_EEZ_Calibrated_availability_level_in_UK_EEZ.shp
This file contains the quantitative availability level calibrated to the current OW leased sites - see Section 2 in the manuscript for every grid (up to 10km2) in UK EEZ waters.
This file is used to generate Fig.16-20 & Dashboard [3].
This file contains 13 variables and 3,216 rows.
The variables are:
o IHO_area_n/sea region name  
* Data obtained from Flanders Marine Institute, 2020 http://www.marineregions.org
* Data type: text
o Emod_bath/water depth 
* Data obtained from EMODNET-Bathymetry (https://doi.org/10.12770/bb6a87dd-e579-4036-abe1-e649cea9881a)
* Data unit: metre
* Data type: integer
o Emod_bath_c/water depth classification
* Classified into 0-60m, 60-227m, and 227-1000m
* Data type: text
o Dist_t_shore_int/Distance from grid to nearest shore 
* Data unit: metre
* Data type: integer
o Avail_level_li_new/Calibrated availability level classification
* Defined the amount of quantitative availability level in each grid:
* 0 layer/constraint = clear water area
* 1-2 layer/constraints = less crowded area
* 3 layer/constraints = equally crowded area
* 4-12 layer/constraints = more crowded area
* 999 or null layer/constraint = no-go area
* Data type: text
o Cousage/Cousage identifier
* Defined the presence of co-usage layers in each grid:
* 0 layer/constraint = no co-usage
* >0 = co-usage exist
* Data type: integer
o Wind_speed_ty/the wind speed classification
* Data based on the percentile (0-10, 10-20, 20-30, 30-60, 60-100%) of wind speed of 30 years average at 110m hub from Marine Data Exchange/Met Office, 2015 link:(2015, Met Office, UK Offshore Wind Resource Dataset | Marine Data Exchange) 
* Data type: text
o Shape_Length 
* Data unit: metre
* Data type: double
o Shape_Area
* Data unit: metre2
* Data type: double
o ShapeArea_in_Km2
* Data unit: kilometre2
* Data type: double
o Area_length_ratio
* Area_length_ratio=Shape_Length/Shape_Area*1/1000 
* Data unit: kilometre/metre2
* Data type: double