MetadataThis dataset shows areas within an existing lease where one or more wind energy projects are being planned for development. These areas were provided by the offshore wind project developers (leaseholders), at the request of the BOEM Office of Renewable Energy Programs, as part of their Construction and Operations Plan (COP.) This data is subject to change and will be updated as new publicly available information is released.

South Coast Designated Maritime Area Plan for Offshore Renewable Energy: Boundary. Published by Marine Institute. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).The South Coast Designated Maritime Area Plan for Offshore Renewable Energy (SC-DMAP) is Ireland’s first forward spatial plan for offshore renewable energy. As part of a plan-led approach to offshore renewable energy adopted by Government in 2023, all post Phase One offshore wind projects in Ireland will be located within maritime areas identified for this purpose by Government through the establishment of DMAPs...

Information on Decommissioning and Long-Term Stewardship of the West Valley Demonstration Project (WVDP) and Western New York Nuclear Service Center (WNYNSC).

Project Hotspot applies innovative approaches to geothermal exploration in the Snake River Volcanic Province. This report summarizes results from our Phase 1 data compilation.

Ministry of Education, Sports Administration, Foresight Infrastructure Project Phase 1 Special Final Account (FY 2017-2018)

This dataset consists of responses to a standardized, web-based survey of project principle investigators, end-users, and SE CASC leadership. 31 project PIs responded (97% response rate). We then surveyed potential users of the 28 remaining projects using Qualtrics and SE CASC leadership to garner information about project use. Potential users included employees from federal agencies, state agencies, universities, and nongovernmental organizations. From the 28 projects, we sent surveys to 208 users, of which, 81 responded (39% response rate) from 22 projects. We did not collect any personal demographic information, so we did not conduct a nonresponse bias. Specifically, we asked respondents how they and their respective organizations used the projects. Additionally, we interviewed five current and former members of SE CASC leadership about their perception of use of the 28 projects.

All major capital infrastructure projects with a committed budget and spend by fiscal year. Financial information and agency schedule details for each project are joined via FMS ID. Only projects in the design phase or later have project schedules displayed. This dataset is part of the Capital Projects Dashboard. Note: Each row is uniquely identified by its Financial Management Service (FMS) ID. FMS ID is the unique ID that OMB uses for the FMS (Financial Information System). This ID can be universally joined with any OMB dataset that has the same field. The Capital Projects Dashboard is the result of joining OMB’s fiscal data with the agency’s schedule data. FMS IDs and agency projects don't always have a one-to-one relationship (ie. one project schedule may correlate to multiple FMS IDs, and one FMS may correct to multiple projects with different schedules).

Ministry of Health and Welfare Central Government Forward-looking Infrastructure Program Phase 1 Special Final Account Approval (106-107)

Ministry of Education, National and Pre-School Education Agency, Central Government Forward-looking Infrastructure Development Plan Phase 1 Special Final Account (1)

List of innovation projects approved for funding for the Strategic Innovation Fund (SIF) round one alpha phase.

The site suitability criteria included in the techno-economic land use screens are listed below. As this list is an update to previous cycles, tribal lands, prime farmland, and flood zones are not included as they are not technically infeasible for development. The techno-economic site suitability exclusion thresholds are presented in table 1. Distances indicate the minimum distance from each feature for commercial scale wind developmentAttributes: Steeply sloped areas: change in vertical elevation compared to horizontal distancePopulation density: the number of people living in a 1 km2 area Urban areas: defined by the U.S. Census. Water bodies: defined by the U.S. National Atlas Water Feature Areas, available from Argonne National Lab Energy Zone Mapping Tool Railways: a comprehensive database of North America's railway system from the Federal Railroad Administration (FRA), available from Argonne National Lab Energy Zone Mapping Tool Major highways: available from ESRI Living Atlas Airports: The Airports dataset including other aviation facilities as of July 13, 2018 is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics's (BTS's) National Transportation Atlas Database (NTAD). The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product. Available from Argonne National Lab Energy Zone Mapping Tool Active mines: Active Mines and Mineral Processing Plants in the United States in 2003Military Lands: Land owned by the federal government that is part of a US military base, camp, post, station, yard, center, or installation. Table 1 Wind Steeply sloped areas >10o Population density >100/km2 Capacity factor <20% Urban areas <1000 m Water bodies <250 m Railways <250 m Major highways <125 m Airports <5000 m Active mines <1000 m Military Lands <3000m For more information about the processes and sources used to develop the screening criteria see sources 1-7 in the footnotes. Data updates occur as needed, corresponding to typical 3-year CPUC IRP planning cyclesFootnotes:[1] Lopez, A. et. al. “U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis,” 2012. https://www.nrel.gov/docs/fy12osti/51946.pdf[2] https://greeningthegrid.org/Renewable-Energy-Zones-Toolkit/topics/social-environmental-and-other-impacts#ReadingListAndCaseStudies[3] Multi-Criteria Analysis for Renewable Energy (MapRE), University of California Santa Barbara. https://mapre.es.ucsb.edu/[4] Larson, E. et. al. “Net-Zero America: Potential Pathways, Infrastructure, and Impacts, Interim Report.” Princeton University, 2020. https://environmenthalfcentury.princeton.edu/sites/g/files/toruqf331/files/2020-12/Princeton_NZA_Interim_Report_15_Dec_2020_FINAL.pdf.[5] Wu, G. et. al. “Low-Impact Land Use Pathways to Deep Decarbonization of Electricity.” Environmental Research Letters 15, no. 7 (July 10, 2020). https://doi.org/10.1088/1748-9326/ab87d1.[6] RETI Coordinating Committee, RETI Stakeholder Steering Committee. “Renewable Energy Transmission Initiative Phase 1B Final Report.” California Energy Commission, January 2009.[7] Pletka, Ryan, and Joshua Finn. “Western Renewable Energy Zones, Phase 1: QRA Identification Technical Report.” Black & Veatch and National Renewable Energy Laboratory, 2009. https://www.nrel.gov/docs/fy10osti/46877.pdf.[8]https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2019&layergroup=Urban+Areas[9]https://ezmt.anl.gov/[10]https://www.arcgis.com/home/item.html?id=fc870766a3994111bce4a083413988e4[11]https://mrdata.usgs.gov/mineplant/Credits Title: Techno-economic screening criteria for utility-scale wind energy installations for Integrated Resource Planning Purpose for creation: These site suitability criteria are for use in electric system planning, capacity expansion modeling, and integrated resource planning. Keywords: wind energy, resource potential, techno-economic, IRP Extent: western states of the contiguous U.S. Use Limitations The geospatial data created by the use of these techno-economic screens inform high-level estimates of technical renewable resource potential for electric system planning and should not be used, on their own, to guide siting of generation projects nor assess project-level impacts.Confidentiality: Public ContactEmily Leslie Emily@MontaraMtEnergy.comSam Schreiber sam.schreiber@ethree.com Jared Ferguson Jared.Ferguson@cpuc.ca.govOluwafemi Sawyerr femi@ethree.com

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This dataset is a polygon shapefile digitisation of Map 2 - PEL 96 Phase One Area 45,500 acres from the report: Strike Energy Limited (2015) Southern Cooper Basin Gas Project Independent Contingent Resource Certification. Viewed 21 May 2015, http://www.strikeenergy.com.au/wp-content/uploads/2015/04/20150427_Sthern-Cooper-Basin-Contingent-Resources.pdf (GUID: 7a040992-f3da-4391-8f24-c2a489cb3f22).

Dataset History

Map 2 - PEL 96 Phase One Area 45,500 acres from the report: Strike Energy Limited (2015) Southern Cooper Basin Gas Project Independent Contingent Resource Certification. Viewed 21 May 2015, http://www.strikeenergy.com.au/wp-content/uploads/2015/04/20150427_Sthern-Cooper-Basin-Contingent-Resources.pdf (GUID: 7a040992-f3da-4391-8f24-c2a489cb3f22) was georeferenced in ArcMap.

Using the georeferencing toolbar in ArcMap, this map was georeferenced to the Cooper CRDP points (Coal Resource Development Pathway (CRDP) Locations for the Cooper Subregion, GUID: d82a737c-89b8-4e50-8973-47311ddd070f) and 250k watercourse lines (GEODATA TOPO 250K Series 3, GUID: a0650f18-518a-4b99-a553-44f82f28bb5f).

Following the georeferencing of this map, the PEL 96 phase one area feature was traced in ArcMap to produce a polygon shapefile.

Dataset Citation

Bioregional Assessment Programme (2015) Strike Energy PEL 96 Phase One Area. Bioregional Assessment Derived Dataset. Viewed 27 November 2017, http://data.bioregionalassessments.gov.au/dataset/317dad8e-f6fb-4eea-bb33-f4da73a5023a.

Dataset Ancestors

• Derived From Southern Cooper Basin Gas Project Independent Contingent Resource Certification

• Derived From Petroleum Wells

• Derived From Coal Resource Development Pathway (CRDP) Locations for the Cooper Subregion

• Derived From GEODATA TOPO 250K Series 3

List of innovation projects approved for funding for the Strategic Innovation Fund (SIF) round one discovery phase.

Please refer to the original announcement for the plan and map of the implementation of the "Wuri Urban Plan Main Plan Amendment (Fourth Comprehensive Review) (Phase One) Project," which will become effective from 12:00 a.m. on March 2, 2021.

List of projects approved for funding under the Strategic Innovation Fund (SIF) round one beta phase, including partners.

URL: https://geoscience.data.qld.gov.au/dataset/cr015275

ATP 269, CSAMOUNT SURVEY FINAL REPORT, TALLYABRA PROJECT (PHASE 1 & 2), EROMANGA BASIN, FOR LASMO ENERGY AUSTRALIA LTD, 269 (1)

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