This is an Excel file with a list of New York City municipal buildings over 10,000 square feet by borough, block, lot, and agency, identifying each building’s energy intensity (kBtu/sq. ft.), Portfolio Manager benchmarking rating, where available, and the total GHG emissions for the calendar years 2010 & 2011.

This dataset is a compilation of electrical power production data (from geothermal power plants) in California, compiled from the Existing Electric Generating Units in the United States, 2005 (http://www.eia.doe.gov/cneaf/electricity/page/eia860.html). The data are available in the following formats: web feature service, web map service, ESRI Service Endpoint, and an Excel workbook for download. The workbook contains 4 worksheets, including information about the template with notes related to revisions of the template, resource provider information, the data, and a field list (data mapping view). This resource was provided by the Arizona Geological Survey and made available for distribution through the National Geothermal Data System.

This data is usually updated quarterly by February 1st, May 1st, August 1st, and November 1st.The CEC Power Plant geospatial data layer contains point features representing power generating facilities in California, and power plants with imported electricity from Nevada, Arizona, Utah and Mexico.The transmission line, substation and power plant mapping database were started in 1990 by the CEC GIS staffs. The final project was completed in October 2010. The enterprise GIS system on CEC's critical infrastructure database was leaded by GIS Unit in November 2014 and was implemented in May 2016. The data was derived from CEC's Quarterly Fuel and Energy Report (QFER), Energy Facility Licensing (Siting), Wind Performance Reporting System (WPRS), and Renewable Energy Action Team (REAT). The sources for the power plant point digitizing are including sub-meter resolution of Digital Globe, Bing, Google, ESRI and NAIP aerial imageries, with scale at least 1:10,000. Occasionally, USGS Topographic map, Google Street View and Bing Bird's Eye are used to verify the precise location of a facility.Although a power plant may have multiple generators, or units, the power plant layer represents all units at a plant as one feature. Detailed attribute information associated with the power plant layer includes CEC Plant ID, Plant Label, Plant Capacity (MW), General Fuel, Plant Status, CEC Project Status, CEC Docket ID, REAT ID, Plant County, Plant State, Renewable Energy, Wind Resource Area, Local Reliability Area, Sub Area, Electric Service Area, Service Area Category, California Balancing Authorities, California Air District, California Air Basin, Quad Name, Senate District, Assembly District, Congressional District, Power Project Web Link, CEC Link, Aerial, QRERGEN Comment, WPRS Comment, Geoscience Comment, Carto Comment, QFERGEN Excel Link, WPRS Excel Link, Schedule 3 Excel Link, and CEC Data Source. For power plant layer which is joined with QFer database, additional fields are displayed: CEC Plant Name (full name), Plant Alias, EIA Plant ID, Plant City, Initial Start Date, Online Year, Retire Date, Generator or Turbine Count, RPS Eligible, RPS Number, Operator Company Name, and Prime Mover ID. In general, utility and non-utility operated power plant spatial data with at least 1 MW of demonstrated capacity and operating status are distributed. Special request is required on power plant spatial data with all capacities and all stages of status, including Cold Standby, Indefinite Shutdown, Maintenance, Non-Operational, Proposed, Retired, Standby, Terminated, and Unknown.For question on power generation or others, please contact Michael Nyberg at (916) 654-5968.California Energy Commission's Open Data Portal.

This is a metadata compilation for maps published by Massachusetts Geological Survey as Miscellaneous Map Series M-13-01 through M-13-08 for the Massachusetts Geothermal Energy Project in 2013. The maps inlcude thermal conductivity of bedrock and soil, heat production, inferred heat flow, and temperatures at 3-, 4-, 5-, and 6-Km depths.The metadata compilation is published as an Excel workbook containing header features including title, description, author, citation, originator, distributor, and resource URL links to scanned maps (PDFs) for download. The Excel workbook contains contains six worksheets, including information about the template, notes related to revisions of the template, resource provider information, the data, a field list (data mapping view), and vocabularies (data valid terms) used to populate the data worksheet . The metadata was provided by the Massachusetts Geological Survey and made available for distribution through the National Geothermal Data System.

Contains Excel data files used to quantifiably rank the geothermal potential of each of the young volcanic centers of the Cascade and Aleutian Arcs using world power production volcanic centers as benchmarks. Also contains shapefiles used in play fairway analysis with power plant, volcano, geochemistry and structural data.

This dataset contains both a PDF report of the LEAR in question, and an Excel spreadsheet of data that sits behind the graphs and maps in the report. The report can be found under Additional Documention section below, and the spreadsheet of backing under Raw Files.

This resource provides location and other data for 7,000+ power plants across the US. Data was provided from the U.S. Energy Information Administration (EIA) Application Programming Interface (API) at http://www.eia.gov/beta/api/index.cfm, and published as a web feature service, a web map service, an ESRI service and as an Excel workbook for the National Geothermal Data System. The Excel workbook contains 4 worksheets, including the data, resource provider information, a field list (data mapping view), and notes related to revisions of the template. ETL (extract, transform, load) was performed by Arizona Geological Survey, enabling the data to conform to NGDS Power Plant Facilities model for interoperability. There is also a helpful accompanying EIA web map application available at http://www.eia.gov/state/.

These geospatial data resources and the linked mapping tool below reflect currently available data on three categories of potentially qualifying Low-Income communities: Census tracts that meet the CDFI's New Market Tax Credit Program's threshold for Low Income, thereby are able to apply to Category 1. Census tracts that meet the White House's Climate and Economic Justice Screening Tool's threshold for disadvantage in the 'Energy' category, thereby are able to apply for Additional Selection Criteria Geography. Counties that meet the USDA's threshold for Persistent Poverty, thereby are able to apply for Additional Selection Criteria Geography. Note that Category 2 - Indian Lands are not shown on this map. Note that Persistent Poverty is not calculated for US Territories. Note that CEJST Energy disadvantage is not calculated for US Territories besides Puerto Rico. The excel tool provides the land area percentage of each 2023 census tract meeting each of the above categories. To examine geographic eligibility for a specific address or latitude and longitude, visit the program's mapping tool. Additional information on this tax credit program can be found on the DOE Landing Page for the 48e program at https://www.energy.gov/diversity/low-income-communities-bonus-credit-program or the IRS Landing Page at https://www.irs.gov/credits-deductions/low-income-communities-bonus-credit. Maps last updated: September 1st, 2024 Next map update expected: December 7th, 2024 Disclaimer: The spatial data and mapping tool is intended for geolocation purposes. It should not be relied upon by taxpayers to determine eligibility for the Low-Income Communities Bonus Credit Program. Source Acknowledgements: The New Market Tax Credit (NMTC) Tract layer using data from the 2016-2020 ACS is from the CDFI Information Mapping System (CIMS) and is created by the U.S. Department of Treasury Community Development Financial Institutions Fund. To learn more, visit CDFI Information Mapping System (CIMS) | Community Development Financial Institutions Fund (cdfifund.gov). https://www.cdfifund.gov/mapping-system. Tracts are displayed that meet the threshold for the New Market Tax Credit Program. The 'Energy' Category Tract layer from the Climate and Economic Justice Screening Tool (CEJST) is created by the Council on Environmental Quality (CEQ) within the Executive Office of the President. To learn more, visit https://screeningtool.geoplatform.gov/en/. Tracts are displayed that meet the threshold for the 'Energy' Category of burden. I.e., census tracts that are at or above the 90th percentile for (energy burden OR PM2.5 in the air) AND are at or above the 65th percentile for low income. The Persistent Poverty County layer is created by joining the U.S. Department of Agriculture, Economic Research Service's Poverty Area Official Measures dataset, with relevant county TIGER/Line Shapefiles from the US Census Bureau. To learn more, visit https://www.ers.usda.gov/data-products/poverty-area-measures/. Counties are displayed that meet the thresholds for Persistent Poverty according to 'Official' USDA updates. i.e. areas with a poverty rate of 20.0 percent or more for 4 consecutive time periods, about 10 years apart, spanning approximately 30 years (baseline time period plus 3 evaluation time periods). Until Dec 7th, 2024 both the USDA estimates using 2007-2011 and 2017-2021 ACS 5-year data. On Dec 8th, 2024, only the USDA estimates using 2017-2021 data will be accepted for program eligibility.

This dataset contains both a PDF report of the LEAR in question, and an Excel spreadsheet of data that sits behind the graphs and maps in the report. The report can be found under Additional Documention section below, and the spreadsheet of backing under Raw Files.

This dataset contains both a PDF report of the LEAR in question, and an Excel spreadsheet of data that sits behind the graphs and maps in the report. The report can be found under Additional Documention section below, and the spreadsheet of backing under Raw Files.

This is the Domestic Water Supply (DWS) Intakes map that is used in the Understanding Designated Uses Story Map. The story map is part of the 2018-2020 Integrated Report Hub Site and is found on the Designated Uses Page. The data are hosted in EEC's ArcGIS Online as a hosted feature layer and represent the Drinking Water Intakes in Kentucky. Data used in the map were curated by the Water Quality Branch of the Kentucky Division of Water in an Excel spreadsheet. The Excel file was uploaded into AGOL and the service was published in AGOL from those data. Melissa Miracle in the Office of Administrative Service, IT Division of the Kentucky Energy and Environment Cabinet published in the service.

The following dataset is published as part of the following paper " Sevdari, K., Islami, A., Haxhiraj, E. and Voshtina, E., 2022. A Data-Driven Assessment of the Electricity Demand-the Case of Albania. In 2022 International Conference on Renewable Energies and Smart Technologies. IEEE." Please cite the paper when using this dataset. Link of the paper: https://ieeexplore.ieee.org/document/10022956

The dataset is in Excel file format. There are 14 columns that represent: 1-Time: Month/Day/Year Hour (calendar format) 2-Time_double: hours for 1 year (double format) 3-Load: The hourly electricity consumption in MWh for Albania 4-full_temp: The hourly temperature values in degrees Celsius taken from a weather station in the capital, Tirana. 5-full_humid: The hourly humidity values in % taken from a weather station in the capital, Tirana. 6-full_rain: The hourly rain conditions taken from a weather station in the capital, Tirana. 1 means a rainy hour and 0 means a clear (no rain) hour. 7-Muaj: Muaj (Albanian) or Months (English). This variable counts the months each hour belongs to. 8-Ditet: Ditet (Albanian) or Days (English). This variable counts the days each hour belongs to. 9-Ore: Ore (Albanian) or Hours (English). This variable counts the hours of each day and repeats itself. 10-Pushimet: Pushimet (Albanian) or Holidays-weekends (English). This variable identifies the weekend hours. 1 means a weekend hour and 0 means a week hour. 11-Oret e nates: Night hours (English). This variable distinguishes between night and day hours. 12- Pushimet vjetore: Yearly official holidays (English). This variable identifies the hours that fall under official yearly holidays in Albania. 13-Oret e nates_2 : Night hours _ 2 (English). This variable distinguishes between night and day hours. 14- Oret e pikut: Peak consumption hours (English). This variable identifies the hours of peak consumption.

This dataset contains both a PDF report of the LEAR in question, and an Excel spreadsheet of data that sits behind the graphs and maps in the report. The report can be found under Additional Documention section below, and the spreadsheet of backing under Raw Files.

This dataset contains both a PDF report of the LEAR in question, and an Excel spreadsheet of data that sits behind the graphs and maps in the report. The report can be found under Additional Documention section below, and the spreadsheet of backing under Raw Files.

This is a web map of approved state wood processing and biomass utilization data that highlights liquidated and idle facilities, and cancelled projects. The map shows non-viable biomass infrastructure inside and outside the Sierra Nevada Conservancy boundary. Non-viable biomass infrastructure outside the Sierra Conservancy Boundary are included due to their former role in processing Sierra biomass. The data for this map was collected from the Biomass Facilities Reporting System, which is a system provided by the UC Davis California Biomass Collaborative. The Biomass Facilities Reporting System is a database of California’s biomass facilities, and includes environmental and performance data and GIS mapping. Additionally, the Reporting System contains an assessment of total biomass resources and total biomass power generation for California for 2005, with projections for 2010, 2017, and 2020 that can be viewed online or downloaded as Excel spreadsheets.This story map is part of the Watershed Improvement Program (WIP) and Watershed Information Network (WIN).The Approved State Wood Processing and Biomass Utilization - Past web map is a feature service used in the Sierra Nevada Cascade story map; therefore, it should not be altered or deleted under any circumstances while the story map is in use.

London Heat Map The London Heat Map is a tool designed to help you identify areas of high heat demand, explore opportunities for new and expanding district heat networks and to draw potential heat networks and assess their financial feasibility. The new version of the London Heat Map was created for the Greater London Authority by the Centre for Sustainable Energy (CSE) in July 2019. The London Heat Map is regularly updated with new network data and other datasets. Background datasets such as building heat demand was last updated on 26/06/2023. The London Heatmap is a map-based web application you can use to find and appraise opportunities for decentralised energy (DE) projects in London. The map covers the whole of Greater London, and provides very local information to help you identify and develop DE opportunities, including data such as: Heat demand values for each building Locations of potential heat supply sites Locations of existing and proposed district heating networks A spatial heat demand density map layer The map also includes a user-friendly visual tool for heat network design. This is intended to support preliminary techno-economic appraisal of potential district heat networks. The London Heat Map is used by a wide variety of people in numerous ways: London Boroughs can use the new map to help develop their energy master plans. Property developers can use the map to help them meet the decentralised energy policies in the London Plan. Energy consultants can use the map to gather initial data to inform feasibility studies. More information is available here, and an interactive map is available here. Building-level estimated annual and peak heat demand data from the London Heat Map has been made available through the data extracts below. The data was last updated on 26/06/2023. The data contains Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'. © Crown copyright and database rights 2023. The Decentralised Energy Master planning programme (DEMaP) The Decentralised Energy Master planning programme (DEMaP), was completed in October 2010. It included a heat mapping support package for the London boroughs to enable them to carry out high resolution heat mapping for their area. To date, heat maps have been produced for 29 London boroughs with the remaining four boroughs carrying out their own data collection. All of the data collected through this process is provided below. Carbon Calculator Tool Arup have produced a Carbon Calculator Tool to assist projects in their early estimation of the carbon dioxide (CO2) savings which could be realised by a district heating scheme with different sources of heating. The calculator's estimates include the impact of a decarbonising the electrical grid over time, based on projections by the Department for Energy and Climate Change, as well as the Government's Standard Assessment Procedure (SAP). The Excel-based tool can be downloaded below. Borough Heat Maps Data and Reports (2012) In March 2012, all London boroughs did a heat mapping exercise. The data from this includes the following and can be downloaded below: Heat Load for all boroughs Heat Supplies for all boroughs Heat Network LDD 2010 database Complete GIS London Heat Map Data The heat maps contain real heat consumption data for priority buildings such as hospitals, leisure centres and local authority buildings. As part of this work, each of the boroughs developed implementation plans to help them take the DE opportunities identified to the next stages. The implementation plans include barriers and opportunities, actions to be taken by the council, key dates, personnel responsible. These can be downloaded below. Other Useful Documents Other useful documents can be downloaded from the links below: Energy Masterplanning Manual Opportunities for Decentralised Energy in London - Vision Map London Heat Network Manual London Heat Network Manual II

This dataset contains both a PDF report of the LEAR in question, and an Excel spreadsheet of data that sits behind the graphs and maps in the report. The report can be found under Additional Documention section below, and the spreadsheet of backing under Raw Files.

This dataset contains identifiers, metadata, and a map of the locations where field measurements have been conducted at the East-Taylor Watershed Community Observatory located in the Upper Colorado River Basin, United States. This is version 3.2 of the dataset and replaces the prior version 3.1 (see below for details on changes between the versions).Dataset description: The East River-Taylor Watershed is the primary field site of the Watershed Function Scientific Focus Area (WFSFA) and the Rocky Mountain Biological Laboratory. Researchers from several institutions generate highly diverse hydrological, biogeochemical, climate, vegetation, geological, remote sensing, and model data at the East-Taylor Watershed in collaboration with the WFSFA. Thus, the purpose of this dataset is to maintain an inventory of the field locations and instrumentation to provide information on the field activities in the East-Taylor Watershed and coordinate data collected across different locations, researchers, and institutions. The dataset contains (1) a README file with information on the various files, (2) three csv files describing the metadata collected for each surface point location, plot and region registered with the WFSFA, (3) csv files with metadata and contact information for each surface point location registered with the WFSFA, (4) a csv file with with metadata and contact information for plots, (5) a csv file with metadata for geographic regions and sub-regions within the watershed, (6) a compiled xlsx file with all the data and metadata which can be opened in Microsoft Excel, (7) a kml map of the locations plotted in the watershed which can be opened in Google Earth, (8) a jpeg image of the kml map which can be viewed in any photo viewer, and (9) a zipped file with the registration templates used by the SFA team to collect location metadata. The zipped template file contains two csv files with the blank templates (point and plot), two csv files with instructions for filling out the location templates, and one compiled xlsx file with the instructions and blank templates together. Additionally, the templates in the xlsx include drop down validation for any controlled metadata fields. Persistent location identifiers (Location_ID) are determined by the WFSFA data management team and are used to track data and samples across locations.Dataset uses: This location metadata is used to update the Watershed SFA’s publicly accessible Field Information Portal (an interactive field sampling metadata exploration tool; https://wfsfa-data.lbl.gov/watershed/), the kml map file included in this dataset, and other data management tools internal to the Watershed SFA team.Version Information: The latest version of this dataset publication is version 3.2. This version contains 161 new point locations, 12 new plots, and 16 new geographic regions. Overall, there are a total of 1272 point locations, 74 plots, and 52 geographic regions. Additionally, the kml map of locations and image now includes all boundaries contained within the East River watershed (USGS HUC-10) and accompanying stream network. Refer to methods for further details on the version history. This dataset will be updated on a periodic basis with new measurement location information. Researchers interested in having their East-Taylor Watershed measurement locations added to this list should reach out to the WFSFA data management team at wfsfa-data@googlegroups.com.Acknowledgments: Please cite this dataset if using any of the location metadata in other publications or derived products. If using the location metadata for the 2018 NEON hyperspectral campaign, additionally cite Chadwick et al. (2020). doi:10.15485/1618130.This work was supported by the Watershed Function Science Focus Area at Lawrence Berkeley National Laboratory funded by the US Department of Energy, Office of Science, Biological and Environmental Research under Contract No. DE-AC02-05CH11231.Part of this work was performed at SLAC Accelerator Laboratory funded by the US Department of Energy, Office of Science, Biological and Environmental Research under Contract No. DE-AC02-76SF00515.

This dataset contains both a PDF report of the LEAR in question, and an Excel Spreadsheet of data that sits behind the graphs and maps in the report. The report can be found under Additional Documentation section below, and the spreadsheet of backing under Raw Files