READ ME File For :   'Supplementary Tables for: Finding space for offshore wind to support net zero: A methodology to assess spatial constraints and future scenarios, illustrated by a UK case study'   Dataset DOI: https://doi.org/10.5258/SOTON/D2324 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: -   This dataset contains two supplementary tables of information/data used for the spatial analysis conducted in the manuscript: 'Finding space for offshore wind to support net zero: A methodology to assess spatial constraints and future scenarios, illustrated by a UK case study ' in Renewable Energy and Sustainability Review* (submitted)   Date of data collection: Sep 2021 - March 2022 Information about geographic location of data collection: University of Southampton, U.K.   The dataset contains 3 tables. List of tables are: 1. Supplementary Table 1.xlsx o This supplementary table provides a list of studies around the world used as considerations to determine important layers/constraints in the spatial analysis conducted in the manuscript. o This supplementary table consists of 3 sheets. o Sheet_1: List of GIS studies reviewed * This sheet shows list of studies used in the literature review of the state-of-the-art of spatial analysis for offshore wind all around the world. This table is the extension version of Peters et al., 2020*. The extension is given in this study by adding the studei spublished in between 2020-2021 (green tables) Peters, J. L., Remmers, T., Wheeler, A. J., Murphy, J., & Cummins, V. (2020). A systematic review and meta-analysis of GIS use to reveal trends in offshore wind energy research and offer insights on best practices. Renewable and Sustainable Energy Reviews, 128. https://doi.org/10.1016/j.rser.2020.109916 o Sheet_2: Spatial layers details * This sheet provides further detail of the variable category describes added after the additional review from this study to Peters et al., review study. o Sheet_3: Feature class. for variables * This sheet provides the full list of unique variables added from the additional literature review conducted in this study (2020-2021 studies) (green colour sheets) to Peters et al., review study. In total 7 categories added. 2. Supplementary Table 2.xlsx o This supplementary table provides a list of feature layers used in the spatial analysis conducted in the manuscript. o This supplementary table consists of 8 sheets. o Sheet_1: List of layers * This sheet lists all of feature layers used in the spatial analysis, the availability and feature category, and whether each has been or not been used as constraint layer in previous studies as detailed in Sheet 3-8. o Sheet_2: Spatial layers details * This sheet provides further detail of the feature layers used in this study (i.e.: layer name, subclass in the layer, data sources, layer data types, resolutions (if applicable), and the pre-exclusion process(es) to raw data (if applicable). o Sheet_3: TCE 2019 * This sheet provides feature layers used in a previous GIS study for offshore wind: TCE. 2019. Resource and Constraints Assessment for Offshore Wind: Methology Report. https://www.thecrownestate.co.uk/media/3331/tce-r4-resource-and-constraints-assessment-methodology-report.pdf (February 16, 2022). o Sheet_4: BVG associate, 2017 * This sheet provides feature layers used in a previous GIS study for offshore wind: BVG Associates. 2017. Unleashing Europe’s Offshore Wind Potential: A New Resource Assessment. o Sheet_5: Bahaj et al., 2020 * This sheet provides feature layers used in a previous GIS study for offshore wind: Bahaj, AbuBakr S, Mostafa Mahdy, Abdulsalam S Alghamdi, and David J Richards. 2020. “New Approach to Determine the Importance Index for Developing Offshore Wind Energy Potential Sites: Supported by UK and Arabian Peninsula Case Studies.” Renewable Energy 152: 441–57. o Sheet_6: Loughney et al., 2021 * This sheet provides feature layers used in a previous GIS study for offshore wind: Loughney, Sean et al. 2021. “Development and Application of a Multiple-Attribute Decision-Analysis Methodology for Site Selection of Floating Offshore Wind Farms on the UK Continental Shelf.” Sustainable Energy Technologies and Assessments 47: 101440. https://dx.doi.org/10.1016/j.seta.2021.101440. o Sheet_7: Gusatu et al., 2020 * This sheet provides feature layers used in a previous GIS study for offshore wind: Gusatu, L F, C Yamu, C Zuidema, and A Faaij. 2020. “A Spatial Analysis of the Potentials for Offshore Wind Farm Locations in the North Sea Region: Challenges and Opportunities.” ISPRS International Journal of Geo-Information 9(2). o Sheet_8: Cavazzi and Dutton, 2016 * This sheet provides feature layers used in a previous GIS study for offshore wind: Cavazzi, S, and A G Dutton. 2016. “An Offshore Wind Energy Geographic Information System (OWE-GIS) for Assessment of the UK’s Offshore Wind Energy Potential.” Renewable Energy 87: 212–28.   3. Supplementary Table 3.xlsx o This supplementary table provides data that were used to create some figures in the manuscript. o This supplementary table consists of 6 sheets. o See section 3 in the manuscript 'Finding space for offshore wind to support net zero: Spatial constraints and future scenarios in UK waters' to find where the numbers of in each sheet were obtained. o Sheet_1: Fig.2a * Provides data to generate Fig.2a o Sheet_2: Fig.2b * Provides data to generate Fig.2b o Sheet_3: Fig.3a * Provides data to generate Fig.3a o Sheet_4: Fig.3b * Provides data to generate Fig.3b o Sheet_5: Fig.3c * Provides data to generate Fig.3c