WFS<p>0092 <strong>Vladimir Rusanov</strong> (LNG) 09.01.2022-19.01.2022</p>featuresEPSG:4326arctic_shipping_routes:vladimir_rusanov_0094<p>0094 <strong>Vladimir Rusanov</strong> (LNG) 25.01.2022-03.02.2022</p>featuresEPSG:4326arctic_shipping_routes:yakov_gakkel_0127<p>0127 <strong>Yakov Gakkel</strong> 09.01.2022-18.01.2022</p>featuresEPSG:4326arctic_shipping_routes:nikolay_evgenov_0180<p>0180 <strong>Nikolay Evgenov</strong> 09.03.2022-18.03.2022</p>featuresEPSG:4326area:femp_pv_no_incentives_elect_rate_sir_10000kw_view<p><strong>Electricity Rate for SIR = 1 - 10 MW PV Systems<br> No Incentives</strong></p> <hr> <p>The electricity rate to achieve a savings-to-investment (SIR) ratio equal to 1 is calculated using published national values of grid-tied distributed generation costs by technology and system size as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>. This layer represents the annual electricity rate needed to break-even on costs for a photovoltaic system size [10,000 kW PV Systems].</p>features, femp_pv_no_incentives_elect_rate_sir_10000kw_viewEPSG:4326area:femp_pv_no_incentives_payback_10000kw_view<p><strong>Payback Period | 10,000 1 - 10 MW PV Systems<br> No Incentives</strong></p> <hr> <p>The payback period (years) is calculated using published national values of grid-tied distributed generation costs by technology and system size as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>, and annual average commercial electricity rates for 2014. This layer represents payback period for a photovoltaic system size [10,000 kW PV Systems]. The payback period is the estimated time in years needed to re-coup the installation and operation costs of the system.</p>features, femp_pv_no_incentives_payback_10000kw_viewEPSG:4326area:femp_pv_no_incentives_sir_10000kw_view<p><strong>Savings-to-Investment Ratio | 1 - 10 MW PV Systems<br> No Incentives</strong></p> <hr> <p>The savings-to-investment (SIR) ratio is calculated using published national values of grid-tied distributed generation costs by technology and system size as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>, and annual average commercial electricity rates for 2014. This layer represents the SIR for a photovoltaic system size [10,000 kW PV Systems]. The SIR is the estimated time needed to re-coup the installation and operation costs of the system, and is the system savings (annual generation x annual electricity rate) divided by the total cost (installation and operation costs) over the required investment return period (present worth factor). A SIR equal to 1 will break even over that period; less than 1 will not achieve enough savings to offset costs in that period; greater than 1 will achieve more savings than the costs for that period.</p>features, femp_pv_no_incentives_sir_10000kw_viewEPSG:4326area:femp_pv_no_incentives_elect_rate_sir_100kw_view<p><strong>Electricity Rate for SIR = 1 | 10 - 100 kW PV Systems<br> No Incentives</strong></p> <hr> <p>The electricity rate to achieve a savings-to-investment (SIR) ratio equal to 1 is calculated using published national values of grid-tied distributed generation costs by technology and system size as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>. This layer represents the annual electricity rate needed to break-even on costs for a photovoltaic system size [100 kW PV Systems].</p>features, femp_pv_no_incentives_elect_rate_sir_100kw_viewEPSG:4326area:femp_pv_no_incentives_payback_100kw_view<p><strong>Payback Period | 10 - 100 kW PV Systems<br> No Incentives</strong></p> <hr> <p>The payback period (years) is calculated using published national values of grid-tied distributed generation costs by technology and system size as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>, and annual average commercial electricity rates for 2014. This layer represents payback period for a photovoltaic system size [100 kW PV Systems]. The payback period is the estimated time in years needed to re-coup the installation and operation costs of the system.</p>features, femp_pv_no_incentives_payback_100kw_viewEPSG:4326area:femp_pv_no_incentives_sir_100kw_view<p><strong>Savings-to-Investment Ratio | 10 - 100 kW PV Systems<br> No Incentives</strong></p> <hr> <p>The savings-to-investment (SIR) ratio is calculated using published national values of grid-tied distributed generation costs by technology and system size as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>, and annual average commercial electricity rates for 2014. This layer represents the SIR for a photovoltaic system size [100 kW PV Systems]. The SIR is the estimated time needed to re-coup the installation and operation costs of the system, and is the system savings (annual generation x annual electricity rate) divided by the total cost (installation and operation costs) over the required investment return period (present worth factor). A SIR equal to 1 will break even over that period; less than 1 will not achieve enough savings to offset costs in that period; greater than 1 will achieve more savings than the costs for that period.</p>features, femp_pv_no_incentives_sir_100kw_viewEPSG:4326area:femp_pv_no_incentives_elect_rate_sir_1000kw_view<p><strong>Electricity Rate for SIR = 1 | 100 - 1,000 kW PV Systems<br> No Incentives</strong></p> <hr> <p>The electricity rate to achieve a savings-to-investment (SIR) ratio equal to 1 is calculated using published national values of grid-tied distributed generation costs by technology and system size as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>. This layer represents the annual electricity rate needed to break-even on costs for a photovoltaic system size [1,000 kW PV Systems].</p>features, femp_pv_no_incentives_elect_rate_sir_1000kw_viewEPSG:4326area:femp_pv_no_incentives_payback_1000kw_view<p><strong>Payback Period | 100 - 1,000 kW PV Systems<br> No Incentives</strong></p> <hr> <p>The payback period (years) is calculated using published national values of grid-tied distributed generation costs by technology and system size as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>, and annual average commercial electricity rates for 2014. This layer represents payback period for a photovoltaic system size [1,000 kW PV Systems]. The payback period is the estimated time in years needed to re-coup the installation and operation costs of the system.</p>features, femp_pv_no_incentives_payback_1000kw_viewEPSG:4326area:femp_pv_no_incentives_sir_1000kw_view<p><strong>Savings-to-Investment Ratio | 100 - 1,000 kW PV Systems<br> No Incentives</strong></p> <hr> <p>The savings-to-investment (SIR) ratio is calculated using published national values of grid-tied distributed generation costs by technology and system size as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>, and annual average commercial electricity rates for 2014. This layer represents the SIR for a photovoltaic system size [1,000 kW PV Systems]. The SIR is the estimated time needed to re-coup the installation and operation costs of the system, and is the system savings (annual generation x annual electricity rate) divided by the total cost (installation and operation costs) over the required investment return period (present worth factor). A SIR equal to 1 will break even over that period; less than 1 will not achieve enough savings to offset costs in that period; greater than 1 will achieve more savings than the costs for that period.</p>features, femp_pv_no_incentives_sir_1000kw_viewEPSG:4326arctic_shipping_routes:boris_vilkitskiy_1392<p>1392 <strong>Boris Vilkitskiy</strong> (LNG) 09.12.2022-27.12.2022</p>featuresEPSG:4326arctic_shipping_routes:clean_planet_1425<p>1425 <strong>Clean Planet</strong> 16.08.2022-09.09.2022</p>featuresEPSG:4326arctic_shipping_routes:nikolay_zubov_1544<p>1544 <strong>Nikolay Zubov</strong> 21.07.2022-11.08.2022</p>featuresEPSG:4326arctic_shipping_routes:rudolf_samoilovich_1558<p>1558 <strong>Rudolf Samoilovich</strong> 23.09.2022-08.10.2022</p>featuresEPSG:4326arctic_shipping_routes:yamal_spirit_1619<p>1619 <strong>Yamal Spirit</strong> 28.09.2022-05.11.2022</p>featuresEPSG:4326area:femp_pv_no_incentives_elect_rate_sir_10kw_view<p><strong>Electricity Rate for SIR = 1 | &lt; 10 kW PV Systems<br> No Incentives</strong></p> <hr> <p>The electricity rate to achieve a savings-to-investment (SIR) ratio equal to 1 is calculated using published national values of grid-tied distributed generation costs by technology and system size as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>. This layer represents the annual electricity rate needed to break-even on costs for a photovoltaic system size [10 kW PV Systems].</p>features, femp_pv_no_incentives_elect_rate_sir_10kw_viewEPSG:4326area:femp_pv_no_incentives_payback_10kw_view<p><strong>Payback Period | &lt; 10 kW PV Systems<br> No Incentives</strong></p> <hr> <p>The payback period (years) is calculated using published national values of grid-tied distributed generation costs by technology and system size as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>, and annual average commercial electricity rates for 2014. This layer represents payback period for a photovoltaic system size [10 kW PV Systems]. The payback period is the estimated time in years needed to re-coup the installation and operation costs of the system.</p>features, femp_pv_no_incentives_payback_10kw_viewEPSG:4326area:femp_pv_no_incentives_sir_10kw_view<p><strong>Savings-to-Investment Ratio | &lt; 10 kW PV Systems<br> No Incentives</strong></p> <hr> <p>The savings-to-investment (SIR) ratio is calculated using published national values of grid-tied distributed generation costs by technology and system size as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>, and annual average commercial electricity rates for 2014. This layer represents the SIR for a photovoltaic system size [10 kW PV Systems]. The SIR is the estimated time needed to re-coup the installation and operation costs of the system, and is the system savings (annual generation x annual electricity rate) divided by the total cost (installation and operation costs) over the required investment return period (present worth factor). A SIR equal to 1 will break even over that period; less than 1 will not achieve enough savings to offset costs in that period; greater than 1 will achieve more savings than the costs for that period.</p>features, femp_pv_no_incentives_sir_10kw_viewEPSG:4326area:area_caff_aba_arctic<p><strong>ABA Arctic Boundary</strong></p> <hr> <p>Boundaries of the geographic area covered by the Arctic Biodiversity Assessment. Includes sub, low and high Arctic bounbaries.</p> <p><strong>Source:</strong>High and low Arctic terrestrial boundaries were defined by the Circumpolar Arctic Vegetation Mapping Project - Bioclimatic subzones (CAVM). <a href="http://www.geobotany.uaf.edu/cavm/" target="_blank">Geobotany.uaf.edu</a>. Sub Arctic boundary was defined by the Arctic Biodiversity Assessment (ABA).</p> <p><a href="http://geo.abds.is/geonetwork/srv/eng/catalog.search#/metadata/f0eb86a7-e408-4138-9432-dedb991f13d1" target="_blank">Metadata and Source Download Link</a>.</p>features, area_caff_aba_arcticPolygonEPSG:4326boundaries:ahdr_arctic_boundaryArctic Human Development Report (I and II) The Arctic boundaries as defined by AMAP have been the ground for several following well-known definitions, as for instance the Arctic Human Development Report I and II, one of the most used definition nowadays: “For this reason, the AHDR takes as its point of departure the region that the Arctic Monitoring and Assessment Programme covers in its 1997 and 2002 reports (4-5). For reasons having to do mainly with the location of jurisdictional or administrative boundaries and the availability of data, however, the area covered by this report differs from the AMAP Arctic in some respects”. The AHDR’s definition embraces a rather homogenous cultural, social and economic region, considering the Arctic that area of 4o million km2, that “encompasses all of Alaska, Canada North of 60°N together with northern Quebec and Labrador, all of Greenland, the Faroe Islands, and Iceland, and the northernmost counties of Norway, Sweden and Finland. The situation in Russia is harder to describe in simple terms. The area included, as demarked by our demographers, encompasses the Murmansk Oblast, the Nenets, Yamalo-Nenets, Taimyr, and Chukotka autonomous okrugs, Vorkuta City in the Komi Republic, Norlisk and Igsrka in Krasnoyarsky Kray, and those parts of the Sakha Republic whose boundaries lie closest to the Arctic Circle." NULLarctic boundaryEPSG:4326area:area_aedi_15_energy_dev_regions<p><strong>Alaska Energy Development Regions</strong></p> <hr> <p><strong>Source:</strong>Alaska Energy Authority, 2009.</p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p>AlaskaEPSG:4326area:area_caff_amap_arctic<p><strong>AMAP Arctic Boundary</strong></p> <hr> <p>This layer defines the area covered by the the <a href="http://www.amap.no" target="_blank">Arctic Assessment and Monitoring Programme</a> working group of the Arctic Council.</p> <p><strong>Source:</strong><a href="http://www.amap.no" target="_blank">Arctic Assessment and Monitoring Programme</a> working group of the Arctic Council</p> <p><a href="http://geo.abds.is/geonetwork/srv/eng/catalog.search#/metadata/9BB31CE7-9AE2-453D-9234-0BAEB5C8A33C" target="_blank">Metadata and Source Download Link</a></p>Arctic Assessment and Monitoring Programme, Arctic CouncilEPSG:4326boundaries:amap_arctic_boundaryAMAP "Given the different definitions of the Arctic, based on physical-geographical characteristics as described above, and those based on political and administrative considerations within different countries, no simple delineation of the Arctic region was applicable for the purposes of the AMAP assessment. To establish a geographical context for the AMAP assessment, therefore, a regional extent was defined based on a compromise among various definitions. This incorporates elements of the Arctic Circle, political boundaries, vegetation boundaries, permafrost limits, and major oceanographic features. The region covered by AMAP is, therefore, essentially the terrestrial and marine areas north of the Arctic Circle (66°32'N), and north of 62°N in Asia and 60°N in North America, modified to include the marine areas north of the Aleutian chain, Hudson Bay, and parts of the North Atlantic Ocean including the Labrador Sea. As stated above, the AMAP boundary was established to provide a geographical context for the assessment, in particular source-related assessment issues, i.e., consideration of sources within and outside the Arctic. The relevance of the AMAP boundary varies when considering different issues, and it has therefore been applied accordingly. Thus, contaminant levels in biota are addressed in relation to the geographical occurrence of the species concerned; demographic data are discussed in relation to administrative regions on which, for example, census data are collected. NULLarctic boundaryEPSG:4326area:swera_adminfeatures, swera_adminEPSG:4326area:airtemp_annAir Temperature 1° Resolution by NASA - Annual NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/sweraNASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:airtemp_aprAir Temperature 1° Resolution by NASA - April NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/sweraNASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:airtemp_augAir Temperature 1° Resolution by NASA - August NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/sweraNASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:airtemp_decAir Temperature 1° Resolution by NASA - December NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/sweraNASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:airtemp_febAir Temperature 1° Resolution by NASA - February NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/sweraNASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:airtemp_janAir Temperature 1° Resolution by NASA - January NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/sweraNASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:airtemp_julAir Temperature 1° Resolution by NASA - July NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/sweraNASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:airtemp_junAir Temperature 1° Resolution by NASA - June NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/sweraNASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:airtemp_marAir Temperature 1° Resolution by NASA - March NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/sweraNASA Surface meteorology and Solar Energy (SSE)EPSG:4326swera:airtemp_mayAir Temperature 1° Resolution by NASA - May NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/swerafeatures, T10M_NASA_lowEPSG:4326area:airtemp_novAir Temperature 1° Resolution by NASA - November NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/sweraNASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:airtemp_octAir Temperature 1° Resolution by NASA - October NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/sweraNASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:airtemp_sepAir Temperature 1° Resolution by NASA - September NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) https://catalog.data.gov/dataset/sweraNASA Surface meteorology and Solar Energy (SSE)EPSG:4326natural_earth:ne_10m_airportsAirports from Natural Earth Source: <p><a href="https://www.naturalearthdata.com/downloads/10m-cultural-vectors/airports/">Source</a></p>features, ne_10m_airportsEPSG:4326randolph_glacier:01_rgi60_AlaskaThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326area:area_aedg_community<p><strong>Alaska Communities</strong></p> <hr> <p>Basic community information such as community name, latitude, longitude, geographic codes, and the various regions that include each community.</p> <p><strong>Source:</strong>Alaska Energy Data Gateway, developed by the Institute of Social and Economic Research, University of Alaska Anchorage, is supported by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), under EPSCoR Award # DE-SC0004903 (database and web application development), and by Alaska Energy Authority (Renewable Energy Fund data management and reporting). Database and web hosting is provided by Arctic Region Supercomputing Center, University of Alaska Fairbanks.</p> <p>Data downloded from the <a href="https://akenergygateway.alaska.edu" target="_blank">Alaska Energy Data Gateway</a>.</p>EPSG:4326area:area_census_15_ak_native_areas<p><strong>Alaska Native Areas</strong></p> <hr> <p>The boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1, 2015, as reported by the federally recognized tribal governments through the Census Bureau’s Boundary and Annexation Survey (BAS). The boundaries for state-recognized American Indian reservations and for SDTSAs were delineated by a state governor-appointed liaisons for the 2010 Census through the State American Indian Reservation Program and TSAP respectively.</p> <p><strong>Source:</strong><a href="https://www.census.gov/geo/maps-data/data/tiger-line.html" target="_blank">U.S. Census TIGER/line shapefiles, 2015</a></p>features, area_census_15_ak_native_areasPolygonEPSG:4326area:area_census_15_anrc<p><strong>Alaska Native Regional Corporations (ARNC)</strong></p> <hr> <p>Alaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation (Pub. L. 92-203, 85 Stat. 688 (1971); 43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a ‘Regional Corporation’ and organized.</p> <p><strong>Source:</strong><a href="https://www.census.gov/geo/maps-data/data/tiger-line.html" target="_blank">U.S. Census TIGER/line shapefiles, 2015</a></p>features, area_census_15_anrcPolygonEPSG:4326area:GTP_all_blm_restricted<p><strong>Bureau of Land Management - All Restricted Lands</strong></p> <hr> <p>This dataset represents restricted Public (BLM) Lands in the geothermal potential area.</p> <p><strong>Source:</strong> U.S. Department Of The Interior Bureau Of Land Management: GIS Data<br> <strong>Link:</strong> <a href="http://www.blm.gov/wo/st/en/prog/energy/geothermal/geothermal_nationwide/Documents/GIS_Data.html" target="_blank">http://www.blm.gov/wo/st/en/prog/energy/geothermal/geothermal_nationwide/Documents/GIS_Data.html</a></p>Bureau of Land Management (BLM)EPSG:4326area:area_can_nrcan_ghi<p><strong>Average Annual GHI (kWh/m sq./day)</strong></p> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Energy Database</a> provides information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers, Statistic Canada surveys, utilities and remote communities in Canada. The RCED will be undergoing a major data update and validation process and the data held currently should be considered a work in progress.</p> <hr> <p><strong>Source:</strong>[Natural Resources Canada, Atlas of Canada - Clean Energy Resources and Projects (CERP)]((http://atlas.gc.ca/cerp-rpep/en/){:target=”_blank”}</p> <p>For information on how these datasets were generated, see [The Development of Photovoltaic Resource Maps for Canada] (https://www.nrcan.gc.ca/sites/www.nrcan.gc.ca/files/canmetenergy/files/pubs/2006-046_OP-J_411-SOLRES_PV%2Bmap.pdf){:target=”_blank”} and <a href="http://www.sciencedirect.com/science/article/pii/S0038092X08000996?np=y">Spatial Insolation Models for Photovoltaic Energy in Canada</a>.</p>Global Horizontal Irradiation, Natural Resources Canada, Atlas of Canada, Clean Energy Resources and Projects (CERP)EPSG:4326area:gat_tidal_current_speedTidal Current Speed Tidal current speeds for the coastline of the United States. http://www.tidalstreampower.gatech.edu/tidalEPSG:4326area:gat_tidal_power_densityTidal Power Density Tidal power density for the coastline of the United States http://www.tidalstreampower.gatech.edu/tidalEPSG:4326natural_earth:ne_10m_antarctic_ice_shelves_linesfeatures, ne_10m_antarctic_ice_shelves_linesEPSG:4326natural_earth:ne_10m_antarctic_ice_shelves_polysfeatures, ne_10m_antarctic_ice_shelves_polysEPSG:4326vegetation:antarctic_polar_desertAntarctic Polar Desert Polar deserts comprise 8.5% of the Earth's land surface, thereof only 0.1% being in the Arctic, and 8.4% in Antarctica. Polar deserts are characterized by their very high/very low latitude location and a precipitation amount below 250 mm per year. Polar desert landscapes comprise exposed bedrock, talus or rocky plains. The length of the growing season is two and one half months at maximum. Permafrost is generally present. NULLpolar desert, antarctic, permafrost, arctic cinquefoil, purple mountain saxifrage, hairgrass, alkaligrass, lichenEPSG:4326natural_earth:ne_10m_admin_0_antarctic_claimsfeatures, ne_10m_admin_0_antarctic_claimsEPSG:4326natural_earth:ne_10m_admin_0_antarctic_claim_limit_linesfeatures, ne_10m_admin_0_antarctic_claim_limit_linesEPSG:4326randolph_glacier:19_rgi60_AntarcticSubantarcticThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326randolph_glacier:03_rgi60_ArcticCanadaNorthThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326randolph_glacier:04_rgi60_ArcticCanadaSouthThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326boundaries:arctic_cirlce_arctic_boundaryArctic Circle The Arctic Circle is one of the two polar circles and the most northerly of the five major circles of latitude as shown on maps of Earth. It marks the northernmost point at which the centre of the noon sun is just visible on the December solstice and the southernmost point at which the centre of the midnight sun is just visible on the June solstice. The region north of this circle is known as the Arctic, and the zone just to the south is called the Northern Temperate Zone. As seen from the Arctic, the Sun is above the horizon for 24 continuous hours at least once per year (and therefore visible at midnight) and below the horizon for 24 continuous hours at least once per year (and therefore not visible at noon). This is also true in the Antarctic region, south of the equivalent Antarctic Circle. The position of the Arctic Circle is not fixed; as of 29 April 2019, it runs 66°33′47.6″ north of the Equator. Its latitude depends on the Earth's axial tilt, which fluctuates within a margin of more than 2° over a 41,000-year period, due to tidal forces resulting from the orbit of the Moon. Consequently, the Arctic Circle is currently drifting northwards at a speed of about 15 m (49 ft) per year. NULLarctic boundaryEPSG:4326area:area_arctic_council_membersArctic Council Member Countries Countries, who are member of the Arctic Council. http://arcticportal.org/maps-arctic-councilcountriesEPSG:4326area:area_glob_arctic_council_observersArctic Council Observer Countries Countries, who are in the Arctic Council Observer http://arcticportal.org/maps-arctic-councilfeatures, area_glob_arctic_council_observersPolygonEPSG:4326boundaries:arctic_definitionfeatures, Arctic_boundariesEPSG:4326vegetation:arctic_polar_desertArctic Polar Desert Polar deserts comprise 8.5% of the Earth's land surface, thereof only 0.1% being in the Arctic, and 8.4% in Antarctica. Polar deserts are characterized by their very high/very low latitude location and a precipitation amount below 250 mm per year. Polar desert landscapes comprise exposed bedrock, talus or rocky plains. The length of the growing season is two and one half months at maximum. Permafrost is generally present. NULLpolar desertEPSG:4326search_rescue:arctic_search_and_rescueArctic Search and Rescue Zones A map of identified rescue zones within the Arctic region, organized by country. https://www.nga.milfeatures, arctic_search_and_rescue_3973EPSG:3973area:GTP_public_lands_acecs<p><strong>Areas of Environmental Concern</strong></p> <hr> <p>This is an aggregate national dataset describing the geographic boundaries of the ACEC within the BLM managed public lands. The designated ACECs are areas within the public lands where special management attention is required to protect and prevent irreparable damage to important historic cultural or scenic values fish and wildlife resources or other natural systems of processes or to protect life and safety from natural hazards.</p>ACEC, land protectionEPSG:4326area:area_atmp_annAtmospheric Pressure 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/DataASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:area_atmp_aprAtmospheric Pressure 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/DataASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:area_atmp_augAtmospheric Pressure 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/DataASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:area_atmp_decAtmospheric Pressure 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/DataASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:area_atmp_febAtmospheric Pressure 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/DataASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:area_atmp_janAtmospheric Pressure 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/DataASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:area_atmp_julAtmospheric Pressure 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/DataASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:area_atmp_junAtmospheric Pressure 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/DataASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:area_atmp_marAtmospheric Pressure 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/DataASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:area_atmp_novAtmospheric Pressure 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/DataASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:area_atmp_octAtmospheric Pressure 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/DataASA Surface meteorology and Solar Energy (SSE)EPSG:4326area:area_atmp_sepAtmospheric Pressure 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/DataASA Surface meteorology and Solar Energy (SSE)EPSG:4326natural_earth:ne_10m_bathymetry_L_0Bathymetry Nested polygons at 0 m. Created from SRTM Plus. https://www.naturalearthdata.comfeatures, ne_10m_bathymetry_L_0EPSG:4326natural_earth:ne_10m_bathymetry_J_1000Bathymetry Nested polygons at -1000 m. Created from SRTM Plus. https://www.naturalearthdata.comfeatures, ne_10m_bathymetry_J_1000EPSG:4326natural_earth:ne_10m_bathymetry_A_10000Bathymetry Nested polygons at -10000 m. Created from SRTM Plus. https://www.naturalearthdata.comfeatures, ne_10m_bathymetry_A_10000EPSG:4326natural_earth:ne_10m_bathymetry_K_200Bathymetry Nested polygons at -200 m. Created from SRTM Plus. https://www.naturalearthdata.comfeatures, ne_10m_bathymetry_K_200EPSG:4326natural_earth:ne_10m_bathymetry_I_2000Bathymetry Nested polygons at -2000 m. Created from SRTM Plus. https://www.naturalearthdata.comfeatures, ne_10m_bathymetry_I_2000EPSG:4326natural_earth:ne_10m_bathymetry_H_3000Bathymetry Nested polygons at -3000 m. Created from SRTM Plus. https://www.naturalearthdata.comfeatures, ne_10m_bathymetry_H_3000EPSG:4326natural_earth:ne_10m_bathymetry_G_4000Bathymetry Nested polygons at -4000 m. Created from SRTM Plus. https://www.naturalearthdata.comfeatures, ne_10m_bathymetry_G_4000EPSG:4326natural_earth:ne_10m_bathymetry_F_5000Bathymetry Nested polygons at -5000 m. Created from SRTM Plus. https://www.naturalearthdata.comfeatures, ne_10m_bathymetry_F_5000EPSG:4326natural_earth:ne_10m_bathymetry_E_6000Bathymetry Nested polygons at -6000 m. Created from SRTM Plus. https://www.naturalearthdata.comfeatures, ne_10m_bathymetry_E_6000EPSG:4326natural_earth:ne_10m_bathymetry_D_7000Bathymetry Nested polygons at -7000 m. Created from SRTM Plus. https://www.naturalearthdata.comfeatures, ne_10m_bathymetry_D_7000EPSG:4326natural_earth:ne_10m_bathymetry_C_8000Bathymetry Nested polygons at -8000 m. Created from SRTM Plus. https://www.naturalearthdata.comfeatures, ne_10m_bathymetry_C_8000EPSG:4326natural_earth:ne_10m_bathymetry_B_9000Bathymetry Nested polygons at -9000 m. Created from SRTM Plus. https://www.naturalearthdata.comne_10m_bathymetry_B_9000, featuresEPSG:4326area:biodiesel_plantsBiodiesel Plants This dataset contains locational and other attribute information for Biodiesel Plants located within the United States and parts of Canada. Biodiesel Plants are those plants which manufacture diesel fuel from vegetable oils, animal fats, or recycled greases. Data obtained from Homeland Infrastructure Foundation-Level Data (HIFLD). https://hifld-geoplatform.opendata.arcgis.com/datasets/20db0061f0bb4eaaa02942e8818c0f79_0?geometry=-230.625%2C17.811%2C61.699%2C62.022biodieselEPSG:4326area:ReAtlas_biomass<p><strong>Biomass</strong></p> <hr> <p>Biopower potential estimated based on available residue data produced in the report Geographic Perspective on the Current Biomass Resource Availability in the United States (NREL, 2004), assuming conversion efficiencies between 30 and 35% depending on the residue type.</p> <hr> <p><strong>Additional Info:</strong></p> <p><a href="http://www.nrel.gov/gis/biomass.html/" target="_blank">NREL Biomass Maps</a></p> <p><a href="http://www.nrel.gov/biomass/" target="_blank">NREL Biomass Research</a></p> <p><a href="http://www1.eere.energy.gov/biomass/" target="_blank">U.S. DOE Biomass Program</a></p> <p><strong>Related Apps:</strong></p> <p><a href="http://rpm.nrel.gov/biopower/biopower/launch" target="_blank">BioPower Atlas</a></p> <p><a href="http://maps.nrel.gov/biomass" target="_blank">BioFuels Atlas</a></p> <p><strong>Technical Potential:</strong></p> <p>Generation Potential - <em>500 TWh</em></p> <p>Capacity Potential - <em>62 GW</em></p> <p><a href="http://www.nrel.gov/gis/re_potential.html" target="_blank">RE Potential</a></p> <p><a href="http://www.nrel.gov/docs/fy12osti/51946.pdf" target="_blank">Report</a></p>United States (USA)EPSG:4326natural_earth:ne_10m_admin_0_boundary_lines_landCountry boundaries on land and offshore. <p><a href="https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-boundary-lines/">Source</a></p>features, ne_10m_admin_0_boundary_lines_landEPSG:4326natural_earth:ne_10m_admin_0_boundary_lines_disputed_areasfeatures, ne_10m_admin_0_boundary_lines_disputed_areasEPSG:4326natural_earth:ne_10m_admin_0_disputed_areas<p><a href="https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-breakaway-disputed-areas/">Source</a></p>features, ne_10m_admin_0_disputed_areasEPSG:4326area:area_aedg_bldg_retrofit<p><strong>Building Retrofit Data</strong></p> <hr> <p>Estimated energy usage by different non-residential buildings or facilities before retrofit and after retrofit.</p> <p><strong>Source</strong>Alaska Energy Data Gateway, developed by the Institute of Social and Economic Research, University of Alaska Anchorage, is supported by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), under EPSCoR Award # DE-SC0004903 (database and web application development), and by Alaska Energy Authority (Renewable Energy Fund data management and reporting). Database and web hosting is provided by Arctic Region Supercomputing Center, University of Alaska Fairbanks.</p> <p>Data downloded from the <a href="https://akenergygateway.alaska.edu" target="_blank">Alaska Energy Data Gateway</a>.</p>Alaska Energy Data GatewayEPSG:4326area:area_caff_caff_arctic<p><strong>CAFF Arctic Boundary</strong></p> <hr> <p>Defines the area covered by the the Conservation of Arctic Flora and Fauna (CAFF) working group of the Arctic Council. Each Arctic Council country was responsible for defining their Arctic boundary.</p> <p><strong>Source:</strong>Conservation of Arctic Flora and Fauna (CAFF), 2016.</p> <p><a href="http://geo.abds.is/geonetwork/srv/eng/catalog.search#/metadata/2ad7a7cb-2ad7-4517-a26e-7878ef134239" target="_blank">Metadata and Source Download Link</a></p>Conservation of Arctic Flora and Fauna, Arctic CouncilEPSG:4326boundaries:caff_arctic_boundaryCAFF The Conservation of Arctic Flora and Fauna (CAFF), another AC Working Group has developed their own boundaries, which are defined as much by political boundaries as by climatic and biological zoning, and“ largely follows the treeline in order to include the ecosystems that are the focus of its activities”(Although the Arctic Biodiversity Reports follows “a more scientific definition of the Arctic”, that is to say, the Circumpolar Arctic Vegetation Map’s (CAVM Team 2003) definition of the Arctic). NULLarctic boundaryEPSG:4326area:area_cdd_annCooling Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_cdd_annEPSG:4326area:area_cdd_aprCooling Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_cdd_aprEPSG:4326area:area_cdd_augCooling Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_cdd_augEPSG:4326area:area_cdd_febCooling Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_cdd_febEPSG:4326area:area_cdd_janCooling Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_cdd_janEPSG:4326area:area_cdd_julCooling Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_cdd_julEPSG:4326area:area_cdd_junCooling Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_cdd_junEPSG:4326area:area_cdd_marCooling Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_cdd_marEPSG:4326area:area_cdd_novCooling Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_cdd_novEPSG:4326area:area_cdd_octCooling Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_cdd_octEPSG:4326area:area_cdd_sepCooling Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_cdd_sepEPSG:4326area:us_alt_fuel_stations_cng_postgres<p><strong>CNG Stations</strong></p> <hr> <p>CNG stations are sourced from the <a href="http://www.afdc.energy.gov/locator/stations" target="_blank">Alternative Fuels Data Center (AFDC) Alternative Fueling Station Locator</a>.</p>features, us_alt_fuel_stations_cng_postgresEPSG:4326randolph_glacier:12_rgi60_CaucasusMiddleEastThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326randolph_glacier:13_rgi60_CentralAsiaThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326randolph_glacier:11_rgi60_CentralEuropeThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326iceland:icelandic_cities_pointsIcelandic townsfeatures, icelandic_cities_pointsEPSG:3057iceland:icelandic_citiesIcelandic citiesfeatures, icelandic_citiesEPSG:3057area:area_aedi_15_coal_plant_generation<p><strong>Average Annual Coal Plant Generation</strong></p> <hr> <p>Average annual generation in 2011 for Coal Plants from Alaska Energy Statistics.</p> <p><strong>Source:</strong>Average generation in 2011 from Alaska Energy Statistics, 1960-2011, University of <a href="www.iser.uaa.alaska.edu/Publications/AlaskaEnergyStatistics2011.pdf" target="_blank">Alaska Anchorage Institute of Social and Economic Research, 2011.</a> Average oil, gas, and hydroelectrical generation data augmented by AEDI via personal communication with AEA staff, operating utilities, Alaska Energy Statistics 1960-2011, preliminary tables.</p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p> <p>Where precise locations were unavailable, locations georeferenced by AEDI to the Community centroid.</p>Alaska, Anchorage, Alaska Energy StatisticsEPSG:4326arctic_coastal_dynamics:coastal_change_ratearctic, coastal erosion, ground ice, permafrost, organic carbon, data visualisation, Arctic Coastal Dynamics (ACD)EPSG:4326natural_earth:ne_10m_coastlineOcean coastline, including major islands. Coastline is matched to land and water polygons. The Caspian Sea, which is technically a lake, is included. The ocean coastline, the foundation for building all of NEV, primarily derives from World Data Bank 2 with modest generalization applied via line simplification in Adobe Illustrator. The Antarctica coast derives from NASA Mosaic of Antarctica.features, ne_10m_coastlineEPSG:4326iceland:iceland_coastlinefeatures, IcelandEPSG:3057gshhg:GSHHS_c_L1Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a high-resolution geography data set, amalgamated from two databases: World Vector Shorelines (WVS) and CIA World Data Bank II (WDBII). The former is the basis for shorelines while the latter is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. The shorelines are constructed entirely from hierarchically arranged closed polygons. GSHHG combines the older GSHHS shoreline database with WDBII rivers and borders, available in either ESRI shapefile format or in a native binary format. Geography data are in five resolutions: crude(c), low(l), intermediate(i), high(h), and full(f). Shorelines are organized into four levels: boundary between land and ocean (L1), boundary between lake and land (L2), boundary between island-in-lake and lake (L3), and boundary between pond-in-island and island (L4). Datasets are in WGS84 geographic (simple latitudes and longitudes; decimal degrees). GSHHG is released under the GNU license, and is developed and maintained by Dr. Paul Wessel, SOEST, University of Hawai'i, and Dr. Walter H. F. Smith, NOAA Laboratory for Satellite Altimetry. Source: http://www.soest.hawaii.edu/pwessel/gshhg/ Citation: Wessel, P., and W. H. F. Smith (1996), A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, DOI: 10.1029/96JB00104features, GSHHS_c_L1EPSG:4326gshhg:GSHHS_f_L1Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a high-resolution geography data set, amalgamated from two databases: World Vector Shorelines (WVS) and CIA World Data Bank II (WDBII). The former is the basis for shorelines while the latter is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. The shorelines are constructed entirely from hierarchically arranged closed polygons. GSHHG combines the older GSHHS shoreline database with WDBII rivers and borders, available in either ESRI shapefile format or in a native binary format. Geography data are in five resolutions: crude(c), low(l), intermediate(i), high(h), and full(f). Shorelines are organized into four levels: boundary between land and ocean (L1), boundary between lake and land (L2), boundary between island-in-lake and lake (L3), and boundary between pond-in-island and island (L4). Datasets are in WGS84 geographic (simple latitudes and longitudes; decimal degrees). GSHHG is released under the GNU license, and is developed and maintained by Dr. Paul Wessel, SOEST, University of Hawai'i, and Dr. Walter H. F. Smith, NOAA Laboratory for Satellite Altimetry. Source: http://www.soest.hawaii.edu/pwessel/gshhg/ Citation: Wessel, P., and W. H. F. Smith (1996), A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, DOI: 10.1029/96JB00104features, GSHHS_f_L1EPSG:4326gshhg:GSHHS_f_L2Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a high-resolution geography data set, amalgamated from two databases: World Vector Shorelines (WVS) and CIA World Data Bank II (WDBII). The former is the basis for shorelines while the latter is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. The shorelines are constructed entirely from hierarchically arranged closed polygons. GSHHG combines the older GSHHS shoreline database with WDBII rivers and borders, available in either ESRI shapefile format or in a native binary format. Geography data are in five resolutions: crude(c), low(l), intermediate(i), high(h), and full(f). Shorelines are organized into four levels: boundary between land and ocean (L1), boundary between lake and land (L2), boundary between island-in-lake and lake (L3), and boundary between pond-in-island and island (L4). Datasets are in WGS84 geographic (simple latitudes and longitudes; decimal degrees). GSHHG is released under the GNU license, and is developed and maintained by Dr. Paul Wessel, SOEST, University of Hawai'i, and Dr. Walter H. F. Smith, NOAA Laboratory for Satellite Altimetry. Source: http://www.soest.hawaii.edu/pwessel/gshhg/ Citation: Wessel, P., and W. H. F. Smith (1996), A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, DOI: 10.1029/96JB00104features, GSHHS_f_L2EPSG:4326gshhg:GSHHS_f_L3Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a high-resolution geography data set, amalgamated from two databases: World Vector Shorelines (WVS) and CIA World Data Bank II (WDBII). The former is the basis for shorelines while the latter is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. The shorelines are constructed entirely from hierarchically arranged closed polygons. GSHHG combines the older GSHHS shoreline database with WDBII rivers and borders, available in either ESRI shapefile format or in a native binary format. Geography data are in five resolutions: crude(c), low(l), intermediate(i), high(h), and full(f). Shorelines are organized into four levels: boundary between land and ocean (L1), boundary between lake and land (L2), boundary between island-in-lake and lake (L3), and boundary between pond-in-island and island (L4). Datasets are in WGS84 geographic (simple latitudes and longitudes; decimal degrees). GSHHG is released under the GNU license, and is developed and maintained by Dr. Paul Wessel, SOEST, University of Hawai'i, and Dr. Walter H. F. Smith, NOAA Laboratory for Satellite Altimetry. Source: http://www.soest.hawaii.edu/pwessel/gshhg/ Citation: Wessel, P., and W. H. F. Smith (1996), A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, DOI: 10.1029/96JB00104features, GSHHS_f_L3EPSG:4326gshhg:GSHHS_f_L4Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a high-resolution geography data set, amalgamated from two databases: World Vector Shorelines (WVS) and CIA World Data Bank II (WDBII). The former is the basis for shorelines while the latter is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. The shorelines are constructed entirely from hierarchically arranged closed polygons. GSHHG combines the older GSHHS shoreline database with WDBII rivers and borders, available in either ESRI shapefile format or in a native binary format. Geography data are in five resolutions: crude(c), low(l), intermediate(i), high(h), and full(f). Shorelines are organized into four levels: boundary between land and ocean (L1), boundary between lake and land (L2), boundary between island-in-lake and lake (L3), and boundary between pond-in-island and island (L4). Datasets are in WGS84 geographic (simple latitudes and longitudes; decimal degrees). GSHHG is released under the GNU license, and is developed and maintained by Dr. Paul Wessel, SOEST, University of Hawai'i, and Dr. Walter H. F. Smith, NOAA Laboratory for Satellite Altimetry. Source: http://www.soest.hawaii.edu/pwessel/gshhg/ Citation: Wessel, P., and W. H. F. Smith (1996), A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, DOI: 10.1029/96JB00104features, GSHHS_f_L4EPSG:4326gshhg:GSHHS_f_L5Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a high-resolution geography data set, amalgamated from two databases: World Vector Shorelines (WVS) and CIA World Data Bank II (WDBII). The former is the basis for shorelines while the latter is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. The shorelines are constructed entirely from hierarchically arranged closed polygons. GSHHG combines the older GSHHS shoreline database with WDBII rivers and borders, available in either ESRI shapefile format or in a native binary format. Geography data are in five resolutions: crude(c), low(l), intermediate(i), high(h), and full(f). Shorelines are organized into four levels: boundary between land and ocean (L1), boundary between lake and land (L2), boundary between island-in-lake and lake (L3), and boundary between pond-in-island and island (L4). Datasets are in WGS84 geographic (simple latitudes and longitudes; decimal degrees). GSHHG is released under the GNU license, and is developed and maintained by Dr. Paul Wessel, SOEST, University of Hawai'i, and Dr. Walter H. F. Smith, NOAA Laboratory for Satellite Altimetry. Source: http://www.soest.hawaii.edu/pwessel/gshhg/ Citation: Wessel, P., and W. H. F. Smith (1996), A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, DOI: 10.1029/96JB00104features, GSHHS_f_L5EPSG:4326gshhg:GSHHS_f_L6Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a high-resolution geography data set, amalgamated from two databases: World Vector Shorelines (WVS) and CIA World Data Bank II (WDBII). The former is the basis for shorelines while the latter is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. The shorelines are constructed entirely from hierarchically arranged closed polygons. GSHHG combines the older GSHHS shoreline database with WDBII rivers and borders, available in either ESRI shapefile format or in a native binary format. Geography data are in five resolutions: crude(c), low(l), intermediate(i), high(h), and full(f). Shorelines are organized into four levels: boundary between land and ocean (L1), boundary between lake and land (L2), boundary between island-in-lake and lake (L3), and boundary between pond-in-island and island (L4). Datasets are in WGS84 geographic (simple latitudes and longitudes; decimal degrees). GSHHG is released under the GNU license, and is developed and maintained by Dr. Paul Wessel, SOEST, University of Hawai'i, and Dr. Walter H. F. Smith, NOAA Laboratory for Satellite Altimetry. Source: http://www.soest.hawaii.edu/pwessel/gshhg/ Citation: Wessel, P., and W. H. F. Smith (1996), A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, DOI: 10.1029/96JB00104features, GSHHS_f_L6EPSG:4326gshhg:GSHHS_h_L1Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a high-resolution geography data set, amalgamated from two databases: World Vector Shorelines (WVS) and CIA World Data Bank II (WDBII). The former is the basis for shorelines while the latter is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. The shorelines are constructed entirely from hierarchically arranged closed polygons. GSHHG combines the older GSHHS shoreline database with WDBII rivers and borders, available in either ESRI shapefile format or in a native binary format. Geography data are in five resolutions: crude(c), low(l), intermediate(i), high(h), and full(f). Shorelines are organized into four levels: boundary between land and ocean (L1), boundary between lake and land (L2), boundary between island-in-lake and lake (L3), and boundary between pond-in-island and island (L4). Datasets are in WGS84 geographic (simple latitudes and longitudes; decimal degrees). GSHHG is released under the GNU license, and is developed and maintained by Dr. Paul Wessel, SOEST, University of Hawai'i, and Dr. Walter H. F. Smith, NOAA Laboratory for Satellite Altimetry. Source: http://www.soest.hawaii.edu/pwessel/gshhg/ Citation: Wessel, P., and W. H. F. Smith (1996), A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, DOI: 10.1029/96JB00104features, GSHHS_h_L1EPSG:4326gshhg:GSHHS_i_L1Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a high-resolution geography data set, amalgamated from two databases: World Vector Shorelines (WVS) and CIA World Data Bank II (WDBII). The former is the basis for shorelines while the latter is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. The shorelines are constructed entirely from hierarchically arranged closed polygons. GSHHG combines the older GSHHS shoreline database with WDBII rivers and borders, available in either ESRI shapefile format or in a native binary format. Geography data are in five resolutions: crude(c), low(l), intermediate(i), high(h), and full(f). Shorelines are organized into four levels: boundary between land and ocean (L1), boundary between lake and land (L2), boundary between island-in-lake and lake (L3), and boundary between pond-in-island and island (L4). Datasets are in WGS84 geographic (simple latitudes and longitudes; decimal degrees). GSHHG is released under the GNU license, and is developed and maintained by Dr. Paul Wessel, SOEST, University of Hawai'i, and Dr. Walter H. F. Smith, NOAA Laboratory for Satellite Altimetry. Source: http://www.soest.hawaii.edu/pwessel/gshhg/ Citation: Wessel, P., and W. H. F. Smith (1996), A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, DOI: 10.1029/96JB00104features, GSHHS_i_L1EPSG:4326gshhg:GSHHS_l_L1Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a high-resolution geography data set, amalgamated from two databases: World Vector Shorelines (WVS) and CIA World Data Bank II (WDBII). The former is the basis for shorelines while the latter is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. The shorelines are constructed entirely from hierarchically arranged closed polygons. GSHHG combines the older GSHHS shoreline database with WDBII rivers and borders, available in either ESRI shapefile format or in a native binary format. Geography data are in five resolutions: crude(c), low(l), intermediate(i), high(h), and full(f). Shorelines are organized into four levels: boundary between land and ocean (L1), boundary between lake and land (L2), boundary between island-in-lake and lake (L3), and boundary between pond-in-island and island (L4). Datasets are in WGS84 geographic (simple latitudes and longitudes; decimal degrees). GSHHG is released under the GNU license, and is developed and maintained by Dr. Paul Wessel, SOEST, University of Hawai'i, and Dr. Walter H. F. Smith, NOAA Laboratory for Satellite Altimetry. Source: http://www.soest.hawaii.edu/pwessel/gshhg/ Citation: Wessel, P., and W. H. F. Smith (1996), A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, DOI: 10.1029/96JB00104features, GSHHS_l_L1EPSG:4326natural_earth:ne_10m_minor_islands_coastlineAdditional small ocean islands ranked to two levels of relative importance. Derived from 1:250,000 World Vector Shoreline. Relatively few minor islands shown in polar areas with selective edits elsewhere. Minor islands contain more relative detail than do the islands included with the main 10m ocean coastline data. Ocean bathymetry and ocean polygon are not punched out for minor islands, nor are they included in land polygon or any country or state (admin-0 and admin-1) polygons.features, ne_10m_minor_islands_coastlineEPSG:4326area:H_ElectricCostCom_2010<p><strong>Commercial Electricity Price</strong></p> <hr> <p>These are 2010 rates calculated for residential, commercial and industrial sectors from <a href="http://205.254.135.7/electricity/sales_revenue_price/xls/table10.xls">data reported by EIA</a>. Rates were matched from EIA data and <a href="http://www.ventyx.com/" target="_blank">Ventyx (2010)</a> territory shapes. Where a match could not be made or no territory was available, a state average of the EIA data was used as backfill. Data were then averaged, weighted by area, over the counties. Data are reported by sector in $/MWh.</p>EPSG:4326area:area_can_nrcan_remote_com_demand<p><strong>Canadian Remote Communities Database - Community Electricity Demand</strong></p> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Energy Database</a> provides information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers, Statistic Canada surveys, utilities and remote communities in Canada. The RCED will be undergoing a major data update and validation process and the data held currently should be considered a work in progress.</p> <hr> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Database</a> provides the most up-to-date information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers working closely with remote communities in Canada and from Statistic Canada surveys.</p> <p><strong>Source:</strong>Canadian Remote Communities Database, <a href="http://www.nrcan.gc.ca/home" target="_blank">Natural Resources Canada (NRCAN)</a>, September 2016.</p>Canadian Remote Communities Database, off-grid/remote communities in CanadaEPSG:4326area:area_can_nrcan_remote_com_elec_service_provider<p><strong>Canadian Remote Communities Database - Electric Service Provider, Main Power Source</strong></p> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Energy Database</a> provides information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers, Statistic Canada surveys, utilities and remote communities in Canada. The RCED will be undergoing a major data update and validation process and the data held currently should be considered a work in progress.</p> <hr> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Database</a> provides the most up-to-date information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers working closely with remote communities in Canada and from Statistic Canada surveys.</p> <p><strong>Source:</strong>Canadian Remote Communities Database, <a href="http://www.nrcan.gc.ca/home" target="_blank">Natural Resources Canada (NRCAN)</a>, September 2016.</p>Canadian Remote Communities Database, Main Power Source, off-grid/remote communities in CanadaEPSG:4326area:area_can_nrcan_remote_com_elec_budget<p><strong>Canadian Remote Communities Database - Electricity Budget</strong></p> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Energy Database</a> provides information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers, Statistic Canada surveys, utilities and remote communities in Canada. The RCED will be undergoing a major data update and validation process and the data held currently should be considered a work in progress.</p> <hr> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Database</a> provides the most up-to-date information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers working closely with remote communities in Canada and from Statistic Canada surveys.</p> <p><strong>Source:</strong>Canadian Remote Communities Database, <a href="http://www.nrcan.gc.ca/home" target="_blank">Natural Resources Canada (NRCAN)</a>, September 2016.</p>Canadian Remote Communities Database, off-grid/remote communities in CanadaEPSG:4326area:area_can_nrcan_remote_com_cep<p><strong>Canadian Remote Communities Database - Community Energy Plan Conducted</strong></p> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Energy Database</a> provides information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers, Statistic Canada surveys, utilities and remote communities in Canada. The RCED will be undergoing a major data update and validation process and the data held currently should be considered a work in progress.</p> <hr> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Database</a> provides the most up-to-date information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers working closely with remote communities in Canada and from Statistic Canada surveys.</p> <p><strong>Source:</strong>Canadian Remote Communities Database, <a href="http://www.nrcan.gc.ca/home" target="_blank">Natural Resources Canada (NRCAN)</a>, September 2016.</p>Canadian Remote Communities Database, off-grid/remote communities in Canada, electricityEPSG:4326area:area_can_nrcan_remote_com_energy_price<p><strong>Canadian Remote Communities Database - Energy Price</strong></p> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Energy Database</a> provides information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers, Statistic Canada surveys, utilities and remote communities in Canada. The RCED will be undergoing a major data update and validation process and the data held currently should be considered a work in progress.</p> <hr> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Database</a> provides the most up-to-date information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers working closely with remote communities in Canada and from Statistic Canada surveys.</p> <p><strong>Source:</strong>Canadian Remote Communities Database, <a href="http://www.nrcan.gc.ca/home" target="_blank">Natural Resources Canada (NRCAN)</a>, September 2016.</p>Canadian Remote Communities Database, off-grid/remote communities in Canada, Natural Resources Canada (NRCAN)EPSG:4326area:area_can_nrcan_remote_com_ffplant<p><strong>Canadian Remote Communities Database - Fossil Fuel Plants</strong></p> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Energy Database</a> provides information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers, Statistic Canada surveys, utilities and remote communities in Canada. The RCED will be undergoing a major data update and validation process and the data held currently should be considered a work in progress.</p> <hr> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Database</a> provides the most up-to-date information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers working closely with remote communities in Canada and from Statistic Canada surveys.</p> <p><strong>Source:</strong>Canadian Remote Communities Database, <a href="http://www.nrcan.gc.ca/home" target="_blank">Natural Resources Canada (NRCAN)</a>, September 2016.</p>Canadian Remote Communities Database, off-grid/remote communities in Canada, Natural Resources Canada (NRCAN)EPSG:4326area:area_can_nrcan_remote_com_replant<p><strong>Canadian Remote Communities Database - Renewable Energy Plants</strong></p> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Energy Database</a> provides information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers, Statistic Canada surveys, utilities and remote communities in Canada. The RCED will be undergoing a major data update and validation process and the data held currently should be considered a work in progress.</p> <hr> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Database</a> provides the most up-to-date information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers working closely with remote communities in Canada and from Statistic Canada surveys.</p> <p><strong>Source:</strong>Canadian Remote Communities Database, <a href="http://www.nrcan.gc.ca/home" target="_blank">Natural Resources Canada (NRCAN)</a>, September 2016.</p>Canadian Remote Communities Database, off-grid/remote communities in Canada, Natural Resources Canada (NRCAN)EPSG:4326vegetation:coniferous_forestConiferous Forest The coniferous forests of the Northern hemisphere comprise almost 15% of Earth's land surface. Included are boreal coniferous forests as well as parts of boreal and temperal mountain systems. Continuous forests in which 76-100% of the canopy is composed of coniferous trees are termed coniferous forests. Conifers are trees which grow needles instead of leaves, and cones instead of flowers. NULLconiferous forest, coniferous, needles, boreal, mountain, vegetation, fir, spruce, pineEPSG:4326area:swera_countriesfeatures, swera_countriesEPSG:4326natural_earth:ne_10m_admin_0_countriesCountries Countries distinguish between metropolitan (homeland) and independent and semi-independent portions of sovereign states. Countries are coded with standard ISO and FIPS codes. https://www.naturalearthdata.com/countriesEPSG:4326area:area_dni_nasa_lo_res_annDNI 1° Resolution by NASA - Annual NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_dni_nasa_lo_res_annEPSG:4326area:area_dni_nasa_lo_res_aprDNI 1° Resolution by NASA - April NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_dni_nasa_lo_res_aprEPSG:4326area:area_dni_nasa_lo_res_augDNI 1° Resolution by NASA - August NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_dni_nasa_lo_res_augEPSG:4326area:area_dni_nasa_lo_res_decDNI 1° Resolution by NASA - December NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_dni_nasa_lo_res_decEPSG:4326area:area_dni_nasa_lo_res_febDNI 1° Resolution by NASA - February NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_dni_nasa_lo_res_febEPSG:4326area:area_dni_nasa_lo_res_janDNI 1° Resolution by NASA - January NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_dni_nasa_lo_res_janEPSG:4326area:area_dni_nasa_lo_res_julDNI 1° Resolution by NASA - July NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_dni_nasa_lo_res_julEPSG:4326area:area_dni_nasa_lo_res_junDNI 1° Resolution by NASA - June NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_dni_nasa_lo_res_junEPSG:4326area:area_dni_nasa_lo_res_marDNI 1° Resolution by NASA - March NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_dni_nasa_lo_res_marEPSG:4326area:area_dni_nasa_lo_res_novDNI 1° Resolution by NASA - November NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_dni_nasa_lo_res_novEPSG:4326area:area_dni_nasa_lo_res_octDNI 1° Resolution by NASA - October NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_dni_nasa_lo_res_octEPSG:4326area:area_dni_nasa_lo_res_sepDNI 1° Resolution by NASA - September NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_dni_nasa_lo_res_sepEPSG:4326vegetation:deciduous_forestDeciduous forest Deciduous Forests comprise almost 9% of the Earth's land surface. Continuous forest in which 76-100% of the canopy is composed of deciduous trees are termed deciduous forests. "Deciduous" means "falling off at maturity" or "tending to fall off", and is typically used in reference to trees or shrubs which lose their leaves seasonally. NULLForest, DeciduousEPSG:4326area:wave_resource_depth_contours<p><strong>Wave Energy Resource Depth</strong></p> <hr> <p><strong>Source:</strong>The Wave Energy Resource Assessment project is a joint venture between <a href="http://www.nrel.gov/">NREL</a>, <a href="http://my.epri.com/portal/server.pt?">EPRI</a>, and <a href="http://www.vt.edu/" target="_blank">Virginia Tech</a>. EPRI is the prime contractor, Virginia Tech is responsible for development of the models and estimating the wave resource, and NREL serves as an independent validator and also develops the final GIS-based display of the data.</p> <p>For complete details regarding this study please read the full report, available here:<br> <a href="http://en.openei.org/datasets/node/884" target="_blank">Mapping and Assessment of the United States Ocean Wave Energy Resource</a></p> <p><br> <strong>Bathymetric Impacts on Resource Assessment</strong><br> Bathymetric effects are known to have a large effect on wave characteristics at depths shallower than approximately 20m (\~65 ft) on the Atlantic coast and 50 m (\~160 ft) on the Pacific coast. A variance between depths exists due to the feature differences for each continental shelf. The methodology used in this resource assessment precludes providing site-specific information to such developers. Reliable site-specific information in shallow waters can only be produced using results from models with higher spatial resolution that include shallow-water physics. The wave resource assessment group acknowledges that its results will not be accurate in the shallower waters of the inner continental shelf. These shallow water regions are located within the dark gray boundaries on the map.</p>features, wave_resource_depth_contoursEPSG:4326area:wave_resource_depth<p><strong>Wave Energy Resource Depth</strong></p> <hr> <p><strong>Source:</strong>The Wave Energy Resource Assessment project is a joint venture between <a href="http://www.nrel.gov/">NREL</a>, <a href="http://my.epri.com/portal/server.pt?">EPRI</a>, and <a href="http://www.vt.edu/" target="_blank">Virginia Tech</a>. EPRI is the prime contractor, Virginia Tech is responsible for development of the models and estimating the wave resource, and NREL serves as an independent validator and also develops the final GIS-based display of the data.</p> <p>For complete details regarding this study please read the full report, available here:<br> <a href="http://en.openei.org/datasets/node/884" target="_blank">Mapping and Assessment of the United States Ocean Wave Energy Resource</a></p> <p><br> <strong>Bathymetric Impacts on Resource Assessment</strong><br> Bathymetric effects are known to have a large effect on wave characteristics at depths shallower than approximately 20m (\~65 ft) on the Atlantic coast and 50 m (\~160 ft) on the Pacific coast. A variance between depths exists due to the feature differences for each continental shelf. The methodology used in this resource assessment precludes providing site-specific information to such developers. Reliable site-specific information in shallow waters can only be produced using results from models with higher spatial resolution that include shallow-water physics. The wave resource assessment group acknowledges that its results will not be accurate in the shallower waters of the inner continental shelf. These shallow water regions are located within the dark gray boundaries on the map.</p>features, wave_resource_depthEPSG:4326area:geothermal_developing_sites_9_2_14<p><strong>Geothermal Projects Under Development</strong></p> <hr> <p>Developing geothermal projects information aggregated from lists of geothermal projects under development obtained from the Geothermal Energy Association <a href="http://geo-energy.org/events/2014%20Annual%20US%20&amp;%20Global%20Geothermal%20Power%20Production%20Report%20Final.pdf">2014 Annual U.S. &amp; Global Geothermal Power Production Report</a> and <a href="http://www.snl.com/">SNL Financial LC</a>. In the event that a project was listed in both datasets, GEA data was used. Development geothermal project status and location verified and corrected when possible independently by NREL. When available, BLM LR2000 Lease information was compared with other data sources to verify developing project location. The developing status that is stated for each location is an NREL-defined status which is based on the terminology used by both <a href="http://geo-energy.org/events/2014%20Annual%20US%20&amp;%20Global%20Geothermal%20Power%20Production%20Report%20Final.pdf">2014 Annual U.S. &amp; Global Geothermal Power Production Report</a> and <a href="http://www.snl.com/" target="_blank">SNL Financial LC</a>. Because of the uncertainty inherent in data surrounding projects under development, NREL cannot and does not guarantee the accuracy of this data.</p> <p>Last updated July 2014</p>features, geothermal_developing_sites_9_2_14EPSG:4326area:DSL_Density_2013Diesel Ranges are based on number of vehicles per 5 square miles. Data is updated annually. Source: https://ihsmarkit.comDiesel, vehiclesEPSG:4326area:ak_aedg_fuel_price_prjs_by_com_wide<p><strong>Fuel Price Projections by Community, Projected out 20 years</strong></p> <hr> <p>The Institute of Social and Economic Research publishes an Alaska Fuel Price Projection once a year. These data series project annual fuel prices for 20 years in the future. The calculations are based on the Energy Information Administration’s Annual Energy Outlook publication in combination with data from the Power Cost Equalization (PCE) Program to project prices for diesel fuel for each community participating in the Alaska PCE. Prices in urban communities are also projected. This dataset contains community-level fuel price projections. Dataset revised Feb 7, 2014: Galena projection revised.</p> <p>Real $ value varies by publication year.</p> <p><strong>Source:</strong>Alaska Energy Data Gateway, developed by the Institute of Social and Economic Research, University of Alaska Anchorage, is supported by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), under EPSCoR Award # DE-SC0004903 (database and web application development), and by Alaska Energy Authority (Renewable Energy Fund data management and reporting). Database and web hosting is provided by Arctic Region Supercomputing Center, University of Alaska Fairbanks.</p> <p>Data downloded from the <a href="https://akenergygateway.alaska.edu" target="_blank">Alaska Energy Data Gateway</a>.</p>features, ak_aedg_fuel_price_prjs_by_com_widePointEPSG:4326area:epa_re_sites<p><strong>EPA Brownfield Sites</strong></p> <hr> <p>This is a derived data set from the EPA’s RE-Powering America’s Land project. The purpose of EPA’s RE-Powering America’s Land Initiative is to identify contaminated sites that are ideal for renewable energy projects. Some sites may require clean-up prior to use.</p> <p>This is a subset of the EPA data that only includes sites with mapped acreage above 100. Abandoned mine land data from individual states were merged into a single program category. Finally, only solar potential data was included in this dataset.<strong>Source:</strong> EPA RE-Powering America’s Land</p> <p><strong>Link:</strong> <a href="http://www.epa.gov/oswercpa/" target="_blank">http://www.epa.gov/oswercpa/</a></p>features, epa_re_sitesEPSG:4326boundaries:eppr_arctic_boundaryEPPR Emergency, Prevention, Preparedness and Response (EPPR) definition of Arctic. NULLarctic boundaryEPSG:4326area:area_estmp_annEarth Skin Temperature 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set http://en.openei.org/wiki/SWERA/Datafeatures, area_estmp_annEPSG:4326area:area_estmp_aprEarth Skin Temperature 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set http://en.openei.org/wiki/SWERA/Datafeatures, area_estmp_aprEPSG:4326area:area_estmp_augEarth Skin Temperature 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set http://en.openei.org/wiki/SWERA/Datafeatures, area_estmp_augEPSG:4326area:area_estmp_decEarth Skin Temperature 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set http://en.openei.org/wiki/SWERA/Datafeatures, area_estmp_decEPSG:4326area:area_estmp_febEarth Skin Temperature 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set http://en.openei.org/wiki/SWERA/Datafeatures, area_estmp_febEPSG:4326area:area_estmp_janEarth Skin Temperature 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set http://en.openei.org/wiki/SWERA/Datafeatures, area_estmp_janEPSG:4326area:area_estmp_julEarth Skin Temperature 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set http://en.openei.org/wiki/SWERA/Datafeatures, area_estmp_julEPSG:4326area:area_estmp_junEarth Skin Temperature 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set http://en.openei.org/wiki/SWERA/Datafeatures, area_estmp_junEPSG:4326area:area_estmp_marEarth Skin Temperature 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set http://en.openei.org/wiki/SWERA/Datafeatures, area_estmp_marEPSG:4326area:area_estmp_novEarth Skin Temperature 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set http://en.openei.org/wiki/SWERA/Datafeatures, area_estmp_novEPSG:4326area:area_estmp_octEarth Skin Temperature 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set http://en.openei.org/wiki/SWERA/Datafeatures, area_estmp_octEPSG:4326area:area_estmp_sepEarth Skin Temperature 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set http://en.openei.org/wiki/SWERA/Datafeatures, area_estmp_sepEPSG:4326area:area_aedi_15_electric_service_areas<p><strong>AK Electric Service Areas</strong></p> <hr> <p><strong>Source:</strong>Chugach Electric Association.</p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p>Alaska, AnchorageEPSG:4326area:us_alt_fuel_stations_elec_postgres<p><strong>Electric Stations</strong></p> <hr> <p>Electric stations are sourced from the <a href="http://www.afdc.energy.gov/locator/stations" target="_blank">Alternative Fuels Data Center (AFDC) Alternative Fueling Station Locator</a>.</p>features, us_alt_fuel_stations_elec_postgresEPSG:4326area:area_eia_12_consump_by_cntry_acTotal Electricity Consumption Total 2012 Electricity Production by Country (Billions of kWh) for all Arctic Member and Observer Countries. http://www.eia.gov/EPSG:4326area:energy_conumption_2021Total Electricity Consumption Total 2021 Electricity Production by Country (Billions of kWh) for all Arctic Member and Observer Countries. http://www.eia.gov/features, energy_conumption_2021.shpEPSG:4326area:femp_svp_no_incentives_elect_rate_sir_view<p><strong>Electricity Rate for SIR = 1<br> No Incentives</strong></p> <hr> <p>The electricity rate to achieve a savings-to-investment (SIR) ratio equal to 1 is calculated using published national values of grid-tied distributed generation costs for solar ventilation preheating as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>. This layer represents the annual electricity rate needed to break-even on costs for a solar ventilation preheating system. Present Worth Factor is 23.5.</p>features, femp_svp_no_incentives_elect_rate_sir_viewEPSG:4326area:femp_swh_141_no_incentives_elect_rate_sir_view<p><strong>Electricity Rate for SIR = 1<br> No Incentives</strong></p> <hr> <p>The electricity rate to achieve a savings-to-investment (SIR) ratio equal to 1 is calculated using published national values of grid-tied distributed generation costs for solar water heating by collector type (flat plate &amp; evacuated tube or plastic collector) as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>. This layer represents the annual electricity rate needed to break-even on costs for a solar water heating system using a Flat Plate &amp; Evacuated Tube. Present Worth Factor is 23.5.</p>features, femp_swh_141_no_incentives_elect_rate_sir_viewEPSG:4326natural_earth:ne_10m_geography_regions_elevation_pointsArea and point labels of major physical features.features, ne_10m_geography_regions_elevation_pointsEPSG:4326energy_consumption:energy_consumption_1980features, energy_conumption_1980.shpEPSG:4326energy_consumption:energy_consumption_1981features, energy_conumption_1981.shpEPSG:4326energy_consumption:energy_consumption_1982features, energy_conumption_1982.shpEPSG:4326energy_consumption:energy_consumption_1983features, energy_conumption_1983.shpEPSG:4326energy_consumption:energy_consumption_1984features, energy_conumption_1984.shpEPSG:4326energy_consumption:energy_consumption_1985features, energy_conumption_1985.shpEPSG:4326energy_consumption:energy_consumption_1986energy_conumption_1986.shp, featuresEPSG:4326energy_consumption:energy_consumption_1987features, energy_conumption_1987.shpEPSG:4326energy_consumption:energy_consumption_1988features, energy_conumption_1988.shpEPSG:4326energy_consumption:energy_consumption_1989features, energy_conumption_1989.shpEPSG:4326energy_consumption:energy_consumption_1990features, energy_conumption_1990.shpEPSG:4326energy_consumption:energy_consumption_1991features, energy_conumption_1991.shpEPSG:4326energy_consumption:energy_consumption_1992features, energy_conumption_1992.shpEPSG:4326energy_consumption:energy_consumption_1993features, energy_conumption_1993.shpEPSG:4326energy_consumption:energy_consumption_1994features, energy_conumption_1994.shpEPSG:4326energy_consumption:energy_consumption_1995features, energy_conumption_1995.shpEPSG:4326energy_consumption:energy_consumption_1996features, energy_conumption_1996.shpEPSG:4326energy_consumption:energy_consumption_1997features, energy_conumption_1997.shpEPSG:4326energy_consumption:energy_consumption_1998energy_conumption_1998.shp, featuresEPSG:4326energy_consumption:energy_consumption_1999features, energy_conumption_1999.shpEPSG:4326energy_consumption:energy_consumption_2000features, energy_conumption_2000.shpEPSG:4326energy_consumption:energy_consumption_2001features, energy_conumption_2001.shpEPSG:4326energy_consumption:energy_consumption_2002energy_conumption_2002.shp, featuresEPSG:4326energy_consumption:energy_consumption_2003features, energy_conumption_2003.shpEPSG:4326energy_consumption:energy_consumption_2004features, energy_conumption_2004.shpEPSG:4326energy_consumption:energy_consumption_2005features, energy_conumption_2005.shpEPSG:4326energy_consumption:energy_consumption_2006features, energy_conumption_2006.shpEPSG:4326energy_consumption:energy_consumption_2007features, energy_conumption_2007.shpEPSG:4326energy_consumption:energy_consumption_2008features, energy_conumption_2008.shpEPSG:4326energy_consumption:energy_consumption_2009features, energy_conumption_2009.shpEPSG:4326energy_consumption:energy_consumption_2010features, energy_conumption_2010.shpEPSG:4326energy_consumption:energy_consumption_2011features, energy_conumption_2011.shpEPSG:4326energy_consumption:energy_consumption_2012features, energy_conumption_2012.shpEPSG:4326energy_consumption:energy_consumption_2013features, energy_conumption_2013.shpEPSG:4326energy_consumption:energy_consumption_2014energy_conumption_2014.shp, featuresEPSG:4326energy_consumption:energy_consumption_2015features, energy_conumption_2015.shpEPSG:4326energy_consumption:energy_consumption_2016features, energy_conumption_2016.shpEPSG:4326energy_consumption:energy_consumption_2017features, energy_conumption_2017.shpEPSG:4326energy_consumption:energy_consumption_2018features, energy_conumption_2018.shpEPSG:4326energy_consumption:energy_consumption_2019features, energy_conumption_2019.shpEPSG:4326energy_consumption:energy_consumption_2020features, energy_conumption_2020.shpEPSG:4326energy_consumption:energy_consumption_2021features, energy_conumption_2021.shpEPSG:4326area:area_aedi_15_existing_hydroelectric<p><strong>Existing Hydroelectric Sites</strong></p> <hr> <p>2015 Existing Hydroelectric Sites in Alaska.</p> <p><strong>Source:</strong>Alaska Energy Authority hydroelectric database. Spatial location and attribute data updated by HDR Alaska Inc. in 2006, AEA in 2013 and 2015.</p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p> <p>Where precise locations were unavailable, locations georeferenced by AEDI to the Community centroid.</p>AlaskaEPSG:4326area:GTP_federal_land<p><strong>Surface Management Agency</strong></p> <hr> <p>Compiled and maintained by the Department of the Interior, Bureau of Land Management, National Operations Center, National Applications Office, National Integrated Lands (NILS) Project.</p> <p>This Surface Management Agency data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.</p> <p><strong>Source:</strong> <a href="http://sagemap.wr.usgs.gov/ftp/sab/surfacemanagementagency.txt" target="_blank">Publication</a></p>Surface Management AgencyEPSG:4326natural_earth:ne_10m_ferriesFerries Ferry routs around the World. http://www.naturalearthdata.com/ferriesEPSG:4326area:FFV_Density_2013<p><strong>Flex-Fuel</strong></p> <hr> <p>Ranges are based on number of vehicles per 5 square miles. Data is updated annually.</p> <hr> <p><strong>Source:</strong> <a href="http://usa.polk.com/" target="_blank">2013 R.L. Polk &amp; Co.</a></p>vehiclesEPSG:4326vegetation:forest_tundraThe Forest Tundra zone comprises about 2.7% of Earth's land surface area. The Forest Tundra is another name for the transitional zone between Tundra/Shrub Tundra and the Boreal Coniferous Forest. It can be described as the tundra into which the coniferous trees "merge into". NULLforest tundra, tundra, transition zone, coniferous, North Siberia, larch, spruce, pineEPSG:4326area:area_ghi_nasa_lo_res_annGHI 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_ghi_nasa_lo_res_annEPSG:4326area:area_ghi_nasa_lo_res_aprGHI 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_ghi_nasa_lo_res_aprEPSG:4326area:area_ghi_nasa_lo_res_augGHI 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_ghi_nasa_lo_res_augEPSG:4326area:area_ghi_nasa_lo_res_decGHI 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_ghi_nasa_lo_res_decEPSG:4326area:area_ghi_nasa_lo_res_febGHI 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_ghi_nasa_lo_res_febEPSG:4326area:area_ghi_nasa_lo_res_janGHI 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_ghi_nasa_lo_res_janEPSG:4326area:area_ghi_nasa_lo_res_julGHI 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_ghi_nasa_lo_res_julEPSG:4326area:area_ghi_nasa_lo_res_jun<p><strong>GHI 1° Resolution by NASA - June</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_ghi_nasa_lo_res_junEPSG:4326area:area_ghi_nasa_lo_res_marGHI 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_ghi_nasa_lo_res_marEPSG:4326area:area_ghi_nasa_lo_res_novGHI 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_ghi_nasa_lo_res_novEPSG:4326area:area_ghi_nasa_lo_res_octGHI 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_ghi_nasa_lo_res_octEPSG:4326area:area_ghi_nasa_lo_res_sepGHI 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_ghi_nasa_lo_res_sepEPSG:4326usgs:generalized_geology_africaGeneralized Geology Map showing generalized geology of Africa. https://www.usgs.gov/features, geo7_2agEPSG:4326usgs:generalized_geology_australia_newzealandGeneralized Geology Map showing generalized geology of Australia and New Zealand. https://www.usgs.gov/features, geo3clEPSG:4326usgs:generalized_geology_europeGeneralized Geology Map showing generalized geology of Europe. https://www.usgs.gov/features, geo4_2lEPSG:4326usgs:generalized_geology_russiaGeneralized Geology Map showing generalized geology of Russia. https://www.usgs.gov/features, geo1ecEPSG:4326usgs:generalized_geology_southamericaGeneralized Geology Map showing generalized geology of South America. https://www.usgs.gov/features, geo6agEPSG:4326usgs:generalized_geology_southasiaGeneralized Geology Map showing generalized geology of South Asia. https://www.usgs.gov/features, geo8apgEPSG:4326usgs:generalized_geology_svalbardGeneralized Geology Map showing generalized geology of Svalbard. https://www.usgs.gov/features, geo_svalEPSG:4326usgs:generalized_geology_arabianpeninsulaGeneralized Geology Map showing generalized geology of the Arabian Peninsula. https://www.usgs.gov/features, geo2bgEPSG:4326usgs:generalized_geology_arcticGeneralized Geology Map showing generalized geology of the Arctic. https://www.usgs.gov/features, geoarcpstEPSG:4326usgs:generalized_geology_fareastGeneralized Geology Map showing generalized geology of the Far East. https://www.usgs.gov/features, geo2bgEPSG:4326usgs:geologic_provinces_africaGeologic Provinces Map showing geologic provinces of the Africa. https://www.usgs.gov/features, prv7_2agEPSG:4326usgs:geologic_provinces_australia_newzealandGeologic Provinces Map showing geologic provinces of Australia and New Zealand. https://www.usgs.gov/features, prv3clEPSG:4326usgs:geologic_provinces_europeGeologic Provinces Map showing geologic provinces of Europe. https://www.usgs.gov/features, prv4_2lEPSG:4326usgs:geologic_provinces_iranGeologic Provinces Map showing geologic provinces of Iran https://www.usgs.gov/features, prv2cgEPSG:4326usgs:geologic_provinces_russiaGeologic Provinces Map showing geologic provinces of Russia. https://www.usgs.gov/prv1ec, featuresEPSG:4326usgs:geologic_provinces_southamericaGeologic Provinces Map showing geologic provinces of South America. https://www.usgs.gov/features, prv6agEPSG:4326usgs:geologic_provinces_southasiaGeologic Provinces Map showing geologic provinces of South Asia https://www.usgs.gov/features, prv3blEPSG:4326usgs:geologic_provinces_arabianpeninsulaGeologic Provinces Map showing geologic provinces of the Arabian Peninsula. https://www.usgs.gov/features, prv2bgEPSG:4326usgs:geologic_provinces_arcticGeologic Provinces Map showing geologic provinces of the Arctic. https://www.usgs.gov/features, prvarcstEPSG:4326usgs:geologic_provinces_fareastGeologic Provinces Map showing geologic provinces of the Far East. https://www.usgs.gov/features, prv3alEPSG:4326area:area_aedi_15_geothermal_plant_generation<p><strong>Average Annual Geothermal Plant Generation</strong></p> <hr> <p>Average annual generation in 2011 for Geothermal Plants from Alaska Energy Statistics.</p> <p><strong>Source:</strong>Average generation in 2011 from Alaska Energy Statistics, 1960-2011, <a href="www.iser.uaa.alaska.edu/Publications/AlaskaEnergyStatistics2011.pdf" target="_blank">University of Alaska Anchorage Institute of Social and Economic Research, 2011.</a> Average oil, gas, and hydroelectrical generation data augmented by AEDI via personal communication with AEA staff, operating utilities, Alaska Energy Statistics 1960-2011, preliminary tables.</p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p> <p>Where precise locations were unavailable, locations georeferenced by AEDI to the Community centroid.</p>Alaska, Arctic Renewable Energy Atlas ReportEPSG:4326natural_earth:ne_10m_glaciated_areasfeatures, ne_10m_glaciated_areasEPSG:4326area:area_glims_glaciers<p><strong>GLIMS Glaciers</strong></p> <hr> <p>Global Land Ice Measurements from Space (GLIMS) is an international initiative with the goal of repeatedly surveying the world’s estimated 200,000 glaciers. GLIMS uses data collected by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument aboard the Terra satellite and the LANDSAT series of satellites, along with historical observations.</p> <p><strong>Source: </strong>GLIMS and NSIDC (2005, updated 2015): Global Land Ice Measurements from Space glacier database. Compiled and made available by the international GLIMS community and the National Snow and Ice Data Center, Boulder CO, U.S.A. DOI:10.7265/N5V98602.</p> <p><a href="https://nsidc.org/data/nsidc-0272" target="_blank">Metadata and Source Download Link</a></p>features, area_glims_glaciersEPSG:4326glims:glims_polygonsGlobal Land Ice Measurements from Space (GLIMS) GLIMS is a project designed to monitor the world's glaciers primarily using data from optical satellite instruments. Read about the main features of the GLIMS Glacier Database. http://www.glims.org/satellite, glaciers, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326vegetation:grasslandGrassland Grasslands comprise almost 4% of the Earth's land surface. Grasslands are generally open and continuous, fairly flat areas of grass. They are often located between temperature forests at high latitudes and deserts at subtropical latitudes. The grasses die back to their roots annually and the soil and the sod protect the roots and the new buds from the cold of winter or dry conditions. NULLgrassland, grass, prairie, Manchurian, oat, prairie-clover, wheatEPSG:4326graticules:ne_10m_graticules_10features, ne_10m_graticules_10EPSG:4326graticules:ne_10m_graticules_15features, ne_10m_graticules_15EPSG:4326graticules:ne_10m_graticules_1features, ne_10m_graticules_1EPSG:4326graticules:ne_10m_graticules_20features, ne_10m_graticules_20EPSG:4326graticules:ne_10m_graticules_30features, ne_10m_graticules_30EPSG:4326graticules:ne_10m_graticules_5features, ne_10m_graticules_5EPSG:4326graticules:ne_10m_wgs84_bounding_boxfeatures, ne_10m_wgs84_bounding_boxEPSG:4326randolph_glacier:05_rgi60_GreenlandPeripheryThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326arctic_coastal_dynamics:ground_iceArctic Coastal Dynamics (ACD), wind speed, storm counts, melt season, wave energyEPSG:4326area:area_hdd_annHeating Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_hdd_annEPSG:4326area:area_hdd_aprHeating Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_hdd_aprEPSG:4326area:area_hdd_augHeating Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_hdd_augEPSG:4326area:area_hdd_decHeating Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Dataarea_hdd_dec, featuresEPSG:4326area:area_hdd_febHeating Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_hdd_febEPSG:4326area:area_hdd_janHeating Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_hdd_janEPSG:4326area:area_hdd_julHeating Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_hdd_julEPSG:4326area:area_hdd_junHeating Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_hdd_junEPSG:4326area:area_hdd_marHeating Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_hdd_marEPSG:4326area:area_hdd_novHeating Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_hdd_novEPSG:4326area:area_hdd_octHeating Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_hdd_octEPSG:4326area:area_hdd_sepHeating Degree Days 1° Resolution NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_hdd_sepEPSG:4326area:wave_hindcast_direction<p><strong>Wave Hindcast Direction</strong></p> <hr> <p>Average direction of wave movement.</p> <p><strong>Source:</strong>The Wave Energy Resource Assessment project is a joint venture between <a href="http://www.nrel.gov/">NREL</a>, <a href="http://my.epri.com/portal/server.pt?">EPRI</a>, and <a href="http://www.vt.edu/" target="_blank">Virginia Tech</a>. EPRI is the prime contractor, Virginia Tech is responsible for development of the models and estimating the wave resource, and NREL serves as an independent validator and also develops the final GIS-based display of the data.</p> <p><strong>Temporal Info:</strong>February 2005 - July 2009</p> <p><strong>Geographic Range</strong><br> US coastline, including AK, HI and Puerto Rico, out to 50 nautical miles</p> <p><strong>Grid Properties</strong><br> Grids are derived from WaveWatch III grids. Near the coast of the lower 48 and HI, grids are squares, 4 minutes by 4 minutes (15 per degree).</p> <p>For the Alaska grids AK and BS, the grid is 4 minutes of latitude by 8 minutes of longitude (15 per deg by 7.5 per deg).</p> <p>EXCEPT: The area in the Bering Sea around the Pribilof (St Paul and St George) Islands is 10 min lat by 15 min lon. Limits: 55.666 to 58.000 N, -172.000 to - 168.000 E, 17 cols, 15 rows</p> <p>Farther offshore, the grid is 10 min by 10 min. (only seen in WM and PR)</p> <p>The 10 min by 10 min grid appears near the edge of a few grids: - SW corner of WM (off Mexican coast) - SE corner of WM (deep water) - PR - around edges (far from PR and US territory)</p> <p><strong>Depth Zones</strong><br> shoreline_to_lt20m_depth 0m - 20m<br> gte20m_depth_to_lt50m_depth 20m - 50m<br> gte50m_depth_to_lt200m_depth 50m - 200m<br> gte200m_depth_to_lt1000m_depth 200m - 1000m<br> gte1000m_depth_to_50nmi_maplimit 1000m - 50 nmi</p>features, wave_hindcast_directionEPSG:4326area:area_powerplants_hydro_8_26_14<p><strong>Hydro Plants</strong></p> <hr> <p>The data is collected from EPA’s Emissions &amp; Generation Resource Integrated Database (eGRID). Power plant data is from year 2010. For additional data on biomass power plants, visit: <a href="http://www.epa.gov/cleanenergy/energy-resources/egrid/" target="_blank">EPA EGRID</a></p>features, area_powerplants_hydro_8_26_14EPSG:4326area:area_aedi_15_hydroelectric_plant_generation<p><strong>Average Annual Hydroelectric Plant Generation</strong></p> <hr> <p>Average annual generation in 2011 for Hydroelectric Plants from Alaska Energy Statistics.</p> <p><strong>Source:</strong>Average generation in 2011 from Alaska Energy Statistics, 1960-2011, University of Alaska Anchorage Institute of Social and Economic Research, 2011.<img src="www.iser.uaa.alaska.edu/Publications/AlaskaEnergyStatistics2011.pdf" alt="" target="_blank"> Average oil, gas, and hydroelectrical generation data augmented by AEDI via personal communication with AEA staff, operating utilities, Alaska Energy Statistics 1960-2011, preliminary tables.</p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p> <p>Where precise locations were unavailable, locations georeferenced by AEDI to the Community centroid.</p>Alaska Energy Statistics, Arctic Renewable Energy Atlas Report, AnchorageEPSG:4326iceland:iceland_ground_temperature_1000mThe dataset presents temperature distribution at 1000 m depth in Iceland, based on Plate 3 in "Atlas of Geothermal Resources in Europe" (2002)Iceland, ground temperatureEPSG:4326iceland:iceland_ground_temperature_2000mThe dataset presents temperature distribution at 2000 m depth in Iceland, based on Plate 3 in "Atlas of Geothermal Resources in Europe" (2002)Iceland, ground temperatureEPSG:4326iceland:iceland_shoreline1features, is50v_mork_landhelgi_24122014EPSG:3057iceland:iceland_shoreline2features, is50v_strandlina_flakar_24122013EPSG:3057iceland:iceland_bedrock_geologyIceland, bedrock, geologyEPSG:4326iceland:iceland_boreholeDataset that summarizes information from wells Base Orkustofnunar through boreholes in Iceland. Appearance include identification borehole, borehole name, place name, bortími, depth, municipality, older chairmen of local name, Number, purpose and type of drill, drill and drilling company, location coordinates ISN93 and WGS84, quality coordinates, linings depth and hole dimension. The table of 13,600 records. Work is obtaining position coordinates, but still missing coordinates for the third holes. Information from the data table are both available on the website OS and the IEP section Wells.Iceland, boreholeEPSG:4326randolph_glacier:06_rgi60_IcelandThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326iceland:iceland_hydrographyfeatures, is50v_vatnafar_flakar_24122014EPSG:3057iceland:iceland_power_plantLocation Coordinates and information on the electric power / power plants in Iceland who sell electricity into the national grid, as well as diesel stations that produce all year. Hydroelectric, geothermal, wind power stations and fuel stations.Iceland, power plantEPSG:4326iceland:iceland_protected_areaThe dataset is migrated from the icelandic data set: "Friðlýst svæði á Íslandi" (e. Protected Areas in Iceland). The working proceedure for that dataset is ongoing, i.e. when The Environment Agency of Iceland deliveres new information about protected areas, the dataset is updated. The data provides information about location, size and types of nature conservation areas in Iceland according to the nature conservation act nr. 44/1999. It is derived from the Icelandic dataset "Friðlýst svæði á Íslandi". The processing steps: Feature mapping from the national datamodel to the INSPIRE datamodel. A python program build to migrate the national data according to the feature mapping.Iceland, protected areaEPSG:4326iceland:iceland_rivers_streamsfeatures, is50v_ornefni_linur_24122015EPSG:3057iceland:iceland_volcanic_systemIceland, volcano, volcanic systemEPSG:4326area:area_aedi_15_instream_potential<p><strong>In-Stream River Potential</strong></p> <hr> <p>Power density estimates based on the cross-section average velocity at the open-water average flow rate at the given site. Open-water power density at the fast flowing portions of the river are several times greater than levels reported here.</p> <p><strong>Source:</strong> Jacobson, Paul T., Ravens, Thomas, Cunningham, Keith. Assessment of U.S. In-Stream Hydrokinetic Energy Resources.</p>power density estimates, flow rate, open waterEPSG:4326area:H_ElectricCostInd_2010<p><strong>Industrial Electricity Price</strong></p> <hr> <p>These are 2010 rates calculated for residential, commercial and industrial sectors from <a href="http://205.254.135.7/electricity/sales_revenue_price/xls/table10.xls">data reported by EIA</a>. Rates were matched from EIA data and <a href="http://www.ventyx.com/" target="_blank">Ventyx (2010)</a> territory shapes. Where a match could not be made or no territory was available, a state average of the EIA data was used as backfill. Data were then averaged, weighted by area, over the counties. Data are reported by sector in $/MWh.</p>EPSG:4326area:swera_intl_prksfeatures, swera_intl_prksEPSG:4326natural_earth:ne_10m_admin_1_label_points_detailsfeatures, ne_10m_admin_1_label_points_detailsEPSG:4326natural_earth:ne_10m_admin_0_label_pointsne_10m_admin_0_label_points, featuresEPSG:4326natural_earth:ne_10m_admin_1_label_pointsfeatures, ne_10m_admin_1_label_pointsEPSG:4326area:swera_lakesfeatures, swera_lakesEPSG:4326natural_earth:ne_10m_lakesfeatures, ne_10m_lakesEPSG:4326natural_earth:ne_10m_landfeatures, ne_10m_landEPSG:4326area:windpro_land_cover<p><strong>Land Cover</strong></p> <hr> <p>The National Land Cover Database 2001 (NLCD2001) is a 16-class land cover classification scheme that has been applied consistently across all 50 United States at a spatial resolution of 30 meters. NLCD2001 is based primarily on the unsupervised classification of Landsat Enhanced Thematic Mapper+ (ETM+) circa 2001 satellite data. For use in this map, some of the land classes have been combined, for example Developed Open Space, Developed Low Intensity, Developed Medium Intensity and Developed High Intensity have been combined to a single Developed class.</p> <p><strong>Source:</strong><br> <a href="http://www.mrlc.gov/index.php" target="_blank">Mulit-Resolution Land Characteristics Consortium (MRLC)</a></p>features, windpro_land_coverEPSG:4326area:area_aedi_15_landfills<p><strong>A.K. Class I Land Fills</strong></p> <hr> <p><strong>Source:</strong>Alaska Department of Environmental Conservation.</p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p> <p>Where precise locations were unavailable, locations georeferenced by AEDI to the Community centroid.</p>Alaska Department of Environmental ConservationEPSG:4326natural_earth:ne_10m_land_scale_rankfeatures, ne_10m_land_scale_rankEPSG:4326area:area_landfillgas_3_7_2016<p><strong>Landfill Gas</strong></p> <hr> <p><strong>Description:</strong> Operable electric generating plants in the United States by energy source. This includes all plants that are operating, on standby, or short- or long-term out of service with a combined nameplate capacity of 1 MW or more (Aug. 2015).</p> <p><strong>Source:</strong> <a href="http://www.eia.gov/maps/layer_info-m.cfm">Energy Information Administration</a></p>features, area_landfillgas_3_7_2016EPSG:4326area:area_can_nrcan_remote_com_local_grid<p><strong>Canadian Remote Communities Database - Local Grid</strong></p> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Energy Database</a> provides information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers, Statistic Canada surveys, utilities and remote communities in Canada. The RCED will be undergoing a major data update and validation process and the data held currently should be considered a work in progress.</p> <hr> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Database</a> provides the most up-to-date information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers working closely with remote communities in Canada and from Statistic Canada surveys.</p> <p><strong>Source:</strong>Canadian Remote Communities Database, <a href="http://www.nrcan.gc.ca/home" target="_blank">Natural Resources Canada (NRCAN)</a>, September 2016.</p>Canadian Remote Communities Database, off-grid/remote communities in Canada, Natural Resources Canada (NRCAN)EPSG:4326randolph_glacier:16_rgi60_LowLatitudesThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326area:mts1<p><strong>National Solar Radiation Data Base</strong></p> <hr> <p>The National Solar Radiation Data Base 1961-1990 (NSRDB) contains 30 years of solar radiation and supplementary meteorological data from 237 NWS sites in the U.S., plus sites in Guam and Puerto Rico. This data is the source of the Typical Meteorological Year 2 files.</p> <p><strong>Link:</strong> <a href="https://nsrdb.nrel.gov/user-manuals" target="_blank">https://nsrdb.nrel.gov/user-manuals</a></p>features, mts1EPSG:4326area:mts2<p>MTS2</p> <hr> <p>The 1991–2005 NSRDB contains hourly solar radiation and meteorological data for 1,454 stations. This update builds on the 1961–1990 NSRDB, which contains data for 239 stations. The update includes the conventional time series for NSRDB ground stations as well as a one-tenth-degree gridded data set that contains hourly solar records for 8 years (1998–2005) for the United States (except Alaska above 60 deg latitude) for about 100,000 pixel locations (at nominal 10-km-by-10-km pixel size). The TMY3 data were produced for 1,020 stations using input data from 1976-2005 which includes NSRDB version MTS1 and MTS2.</p>features, mts2EPSG:4326area:mts3<p>MTS3</p> <hr> <p>The updated 1991–2010 National Solar Radiation Database (NSRDB) provides data for 1,454 stations. This NSRDB release contains less than 1% measured data of the records. Further it differs from the previous NSRDB updates due to the following changes:</p> <ul> <li>Modified solar model</li> <li>New station identification numbers</li> <li>New station classification scheme</li> <li>New data formats</li> <li>Different meteorological fields</li> <li>Revised uncertainty statements</li> </ul> <p>For details of the changes please refer to the National Solar Radiation Database 1991–2010 Update: User’s Manual (<a href="http://www.nrel.gov/docs/fy12osti/54824.pdf" target="_blank">http://www.nrel.gov/docs/fy12osti/54824.pdf</a>)</p>features, mts3EPSG:4326natural_earth:ne_10m_admin_0_map_subunitsfeatures, ne_10m_admin_0_map_subunitsEPSG:4326natural_earth:ne_10m_admin_0_map_unitsfeatures, ne_10m_admin_0_map_unitsEPSG:4326natural_earth:ne_10m_admin_0_boundary_lines_map_unitsfeatures, ne_10m_admin_0_boundary_lines_map_unitsEPSG:4326natural_earth:ne_10m_admin_0_boundary_lines_maritime_indicatorfeatures, ne_10m_admin_0_boundary_lines_maritime_indicatorEPSG:4326area:biogas_methane_from_landfillsMethane Emissions from Landfills The methane emissions are estimated at each landfill considering total waste in place, status (open or closed), and waste acceptance rate using data from EPA’s LMOP database (as of April 2013), and then aggregated to county level. Note: this analysis includes “candidate” landfills only. EPA’s Landfill Methane Outreach Program (LMOP) defines a candidate landfill as one that is accepting waste or has been closed for five years or less, has at least one million tons of waste, and does not have an operational or under-construction project; candidate landfills are also designated based on actual interest or planning. NULLEPSG:4326area:biogas_methane_pot_industrialMethane Generation Potential from Industrial, Institutional, and Commercial Organic Waste This analysis estimates the methane generation potential from food manufacturing and wholesalers (e.g. fruit and vegetable canneries, dairy creameries, meat packing and processors, etc.), as well as institutional facilities such as hospitals, nursing homes, educational and correctional facilities It uses data from the U.S. Census Bureau’s County Business Patterns 2012 and the Homeland Security Infrastructure Program (HSIP) 2012 which is further processed to estimate the amount of these resources by county. NULLmethaneEPSG:4326area:biogas_methane_pot_wastewaterMethane Generation Potential from Wastewater Treatment This analysis estimates the methane generation potential of wastewater treatment plants using methodology from the EPA’s Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2011 and data from the EPA Clean Watersheds Needs Survey (2008). The results were further aggregated to county level. NULLmethaneEPSG:4326natural_earth:ne_10m_minor_islandsfeatures, ne_10m_minor_islandsEPSG:4326area:area_wind_nrel_hi_res_russia<p><strong>NREL Russian Federation Wind Power Class at 50m, 200m Resolution</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL for the <a href="http://www.nrel.gov/gis/data_international.html" target="_blank">Russian Federation</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nrel_hi_res_russiaPolygonEPSG:4326area:swera_natl_prksfeatures, swera_natl_prksEPSG:4326area:swera_natl_prks_otherfeatures, swera_natl_prks_otherEPSG:4326area:area_aedi_15_gas_plant_generation<p><strong>Average Annual Natural Gas Plant Generation</strong></p> <hr> <p>Average annual generation in 2011 for Natural Gas Plants from Alaska Energy Statistics.</p> <p><strong>Source:</strong>Average generation in 2011 from Alaska Energy Statistics, 1960-2011, University of Alaska Anchorage Institute of Social and Economic Research, 2011.<img src="www.iser.uaa.alaska.edu/Publications/AlaskaEnergyStatistics2011.pdf" alt="" target="_blank"> Average oil, gas, and hydroelectrical generation data augmented by AEDI via personal communication with AEA staff, operating utilities, Alaska Energy Statistics 1960-2011, preliminary tables.</p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p> <p>Where precise locations were unavailable, locations georeferenced by AEDI to the Community centroid.</p>Alaska, AnchorageEPSG:4326randolph_glacier:18_rgi60_NewZealandThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326randolph_glacier:10_rgi60_NorthAsiaThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326area:oit_colocted_sites<strong>Collocated Resources</strong></p> <hr> <p>The data is gathered from the Oregon Institute of Technology Geo-Heat Center co-located geothermal resources study in 2004. Data provides information of existing geothermal resources at 399 cities and communities in the central and western United States that could potentially utilize geothermal energy for district heating and other residential and commercial direct use applications. A collocated community is defined as being within 8 km of a geothermal resource with a temperature of at least 50°C. Database contains information concerning the city or community and includes: location, population, temperature, flow rate, depth, and current utilization at the site. For more information and to access the reports visit link below.</p> <p><a href="http://geoheat.oit.edu/colres.htm" target="_blank">http://geoheat.oit.edu/colres.htm</a></p>features, oit_colocted_sitesEPSG:4326area:oit_direct_use<p><strong>Direct Use</strong></p> <hr> <p>Data from the Oregon Institute of Technology’s Geo-Heat Center <a href="http://geoheat.oit.edu/dusys.htm" target="_blank">http://geoheat.oit.edu/dusys.htm</a> Website accessed on 8 Jan 2010</p> <p>NOTE: For some smaller sites, where data on temperature, flow rate, energy use etc. are not available, estimates have been made based on Geo-Heat Center’s staff knowledge and experience and are indicated by “(est.)”</p>features, oit_direct_useEPSG:4326natural_earth:ne_10m_oceanDerives from 10m ocean coastlines. Ocean polygon is the same as Bathymetry 0 (sea level).features, ne_10m_oceanEPSG:4326area:gat_oc_depth<p><strong>Ocean Depth</strong></p> <hr> <p>Modeled water depth for each grid point is derived from the ocean model data by seeking the depth of the deepest vertical layer where the grid point has no finite current velocity.</p> <p>For more information please see:<br> * <a href="http://www.oceancurrentpower.gatech.edu/" target="_blank">Assessment of Energy Production Potential from Ocean Currents in the United States</a><br> * <a href="http://www.oceancurrentpower.gatech.edu/documentation.htm" target="_blank">Data Documentation</a></p>features, gat_oc_depthEPSG:4326iceland:iceland_oceanfeatures, is50v_mork_efnahagslogsaga_24122014EPSG:3057natural_earth:ne_10m_ocean_scale_rankDerives from 10m ocean coastlines. Ocean polygon is the same as Bathymetry 0 (sea level).features, ne_10m_ocean_scale_rankEPSG:4326area:area_geothermal_operating_sites_10_26_15<p><strong>Existing Geothermal Power Plants</strong></p> <hr> <p>Geothermal operating plant data were aggregated from SNL Financial LC, the Geothermal Energy Association (GEA), press releases, operator websites, and geothermal lease data. NREL performed independent research to validate locations of geothermal projects under development.</p> <p>Last updated October 2015</p>features, area_geothermal_operating_sites_10_26_15EPSG:4326area:area_aedi_15_operating_ref_projects<p><strong>2015 Operating Renewable Energy Fund (REF) Projects</strong></p> <hr> <p>Operating Renewable Energy Fund (REF) projects as of 2015.</p> <p><strong>Source:</strong>Renewable Energy Project infromation found at the <a href="https://akenergygateway.alaska.edu/guided_search/#2" target="_blank">Alaska Energy Data Gateway</a></p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p> <p>Where precise locations were unavailable, locations georeferenced by AEDI to the Community centroid.</p>Operating Renewable Energy Fund (REF), Alaska Energy Data GatewayEPSG:4326arctic_coastal_dynamics:organic_carbon<h2>Organic carbon (TOC wt%)</h2> <p>This dataset represents an important outcome of Arctic Coastal Dynamics I that encompasses segmentation and characterization of the entire circum-Arctic coastline by regional experts. This dataset contains data on coastal morphology, composition, dominant processes, ground ice, and environmental forcing parameters such as wind speed, storm counts, melt season, and wave energy. A listing of the variables included in the coastal classification can be found in Appendix A of the ACD II Science and Implementation Plan (2006). This information is available for over 800 segments, covering the coastline of all eight regional seas of the Arctic Ocean. The length of individual segments is variable (median length is 38 km), and depends on classification parameters and data availability. The segmentation format is scalable, allowing the adoption of future digital coastlines and the integration of additional data at higher spatial resolution.</p> <h3>References:</h3> <p>Lantuit , H., Overduin , P. P., Couture, N., Wetterich, S., Are, F., Atkinson, D,. Brown, J., Cherkashov, G., Drozdov, D., Forbes, D. L., Graves-gaylord, A., Grigoriev, M. N., Hubberten, H.-W., Jordan, J., Jorgenson, T., Odegard, R. S., Ogorodov, S., Pollard, W. H., Rachold, V., Sedenko, S., Solomon, S. Steenhuisen, F., Streletskaya, I., Vasiliev, A. (2012) The Arctic Coastal Dynamics database. A new classification scheme and statistics on arctic permafrost coastlines. Estuaries and Coasts, 35, 383–400, DOI 10.1007/s12237-010-9362-6.</p>Arctic Coastal Dynamics (ACD), storm counts, melt season, wave energy, wind speedEPSG:4326area:GTP_potential_geothermal_area<p><strong>Programmatic Environmental Impact Statement (PEIS) Assessment Areas for Geothermal</strong></p> <hr> <p>This coverage shows the regions favorable for the discovery and shallow depth (less than 1000m) of thermal water of sufficient temperature for direct-heat applications. It is probable that only small areas of this region are truly underlain by such thermal water; the region represents that part of the state that deserves exploration for thermal areas. The region is defined on the basis of various geothermal and tectonic phenomena such as locations of thermal wells and springs, above-normal heat flow, youthful volcanism, mineralization, and seismicity.</p> <p><strong>Source:</strong> <a href="http://www.blm.gov/wo/st/en/prog/energy/geothermal/geothermal_nationwide/Documents/GIS_Data.html" target="_blank">Bureau of Land Management GIS Data</a></p>Programmatic Environmental Impact Statement (PEIS) Assessment Areas for Geothermal, thermal waterEPSG:4326area:pfa_sites<p><strong>Play Fairway Projects</strong></p> <hr> <p>DOE Geothermal Technologies Office is funding eleven Play Fairway Analysis projects that will investigate the potential for hidden geothermal resources, and will produce basin scale maps quantifying and reducing geothermal exploration uncertainty.</p> <p>The eleven geologic trends under investigation range from Alaska and Hawaii to the Appalachians, including several Play Fairway projects in the western U.S.</p> <p>For more information, please see:</p> <p><a href="http://energy.gov/eere/geothermal/downloads/play-fairway-analysis-foa-selections" target="_blank">PFA FOA Selections</a></p> <p><a href="http://energy.gov/eere/geothermal/downloads/play-fairway-analysis-poster-session" target="_blank">PFA Poster Session</a></p> <p><a href="http://energy.gov/sites/prod/files/2014/08/f18/Play%20Fairway%20Project%20Descriptions.docx" target="_blank">PFA Descriptions.docx</a></p>features, pfa_sitesEPSG:4326area:epa_nonattainment_areas_pm25_06<p><strong>PM 2.5 (2006 Standard)</strong></p> <hr> <p>Areas of the country where air pollution levels persistently exceed the national ambient air quality standards may be designated “nonattainment” by the EPA. Compiled from EPA Non-Attainment Areas GIS Data.</p> <p><strong>Source:</strong> <a href="http://www.epa.gov/airquality/greenbook/gis_download.html" target="_blank">EPA Greenbook Downloads</a>.</p> <p>Shapefile last updated 08/24/2011.</p>features, epa_nonattainment_areas_pm25_06PolygonEPSG:4326natural_earth:ne_10m_parks_and_protected_lands_areafeatures, ne_10m_parks_and_protected_lands_areaEPSG:4326natural_earth:ne_10m_parks_and_protected_lands_linefeatures, ne_10m_parks_and_protected_lands_lineEPSG:4326natural_earth:ne_10m_parks_and_protected_lands_pointfeatures, ne_10m_parks_and_protected_lands_pointEPSG:4326area:femp_svp_no_incentives_payback_view<p><strong>Payback Period<br> No Incentives</strong></p> <hr> <p>The payback period (years) is calculated using published national values of grid-tied distributed generation costs for solar ventilation preheating systems as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>, and annual average commercial electricity rates for 2014. The payback period is the estimated time in years needed to re-coup the installation and operation costs of the system.</p>features, femp_svp_no_incentives_payback_viewEPSG:4326area:femp_swh_141_no_incentives_payback_view<p><strong>Payback Period<br> No Incentives</strong></p> <hr> <p>The payback period (years) is calculated using published national values of grid-tied distributed generation costs for solar water heating by collector type (flat plate &amp; evacuated tube or plastic collector) as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>, and annual average commercial electricity rates for 2014. This layer represents payback period for a solar water heating system using [technology]. The payback period is the estimated time in years needed to re-coup the installation and operation costs of the system.</p>features, femp_swh_141_no_incentives_payback_viewEPSG:4326area:area_pellet_mills_2015<p><strong>Pellet Plants</strong></p> <hr> <p>Data as of May 2015, Biomass Magazine <a href="http://biomassmagazine.com/plants/listplants/pellet/US" target="_blank">http://biomassmagazine.com/plants/listplants/pellet/US</a>.</p> <p>NOTE: Data are at city-wide resolution and should not be used as exact point locations.</p>features, area_pellet_mills_2015EPSG:4326permafrost:permafrost_zones_boundariesPermafrost zones Permafrost, defined as sub-surface earth materials that remain at or below 0˚C continuously for two or more years, is widespread in the Arctic, sub-Arctic, and high-mountain regions, and in ice-free areas of the Antarctic and sub-Antarctic. An area can have continuous, discontinuous, sporadic, or isolated permafrost, but the only metric used to truly identify an area of permafrost is temperature. https://gtnp.arcticportal.org/permafrost, zones, limitsEPSG:3973area:area_aedi_15_petro_plant_generation<p><strong>Average Annual Petroleum Plant Generation</strong></p> <hr> <p>Average annual generation in 2011 for Petroleum Plants from Alaska Energy Statistics.</p> <p><strong>Source:</strong>Average generation in 2011 from Alaska Energy Statistics, 1960-2011, University of Alaska Anchorage Institute of Social and Economic Research, 2011.<img src="www.iser.uaa.alaska.edu/Publications/AlaskaEnergyStatistics2011.pdf" alt="" target="_blank"> Average oil, gas, and hydroelectrical generation data augmented by AEDI via personal communication with AEA staff, operating utilities, Alaska Energy Statistics 1960-2011, preliminary tables.</p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p> <p>Where precise locations were unavailable, locations georeferenced by AEDI to the Community centroid.</p>Average Annual Petroleum Plant Generation, University of Alaska AnchorageEPSG:4326natural_earth:ne_10m_geographic_linesfeatures, ne_10m_geographic_linesEPSG:4326natural_earth:ne_10m_geography_marine_polysfeatures, ne_10m_geography_marine_polysEPSG:4326natural_earth:ne_10m_geography_regions_pointsfeatures, ne_10m_geography_regions_pointsEPSG:4326natural_earth:ne_10m_geography_regions_polysArea and point labels of major physical features.ne_10m_geography_regions_polys, featuresEPSG:4326oil_gas:pipelinesfeatures, V0e_pipelinesEPSG:4326natural_earth:ne_10m_playasSalt pans and intermittent lakes.features, ne_10m_playasEPSG:4326natural_earth:ne_10m_populated_placesCity and town points, from Tokyo to Wasilla, Cairo to Kandahar <p><a href="https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-populated-places/>Source</a></p>features, ne_10m_populated_placesEPSG:4326natural_earth:ne_10m_portsPorts from Natural Earthfeatures, ne_10m_portsEPSG:4326oil_gas:potential_oil_and_gasoil, gas, arcticEPSG:3973osm:osm_power_generatorsPower Generators All the point, polyline and polygon data tagged with "power:generator" in OpenStreetMap have been transformed here to a single point data layer so they can be visualized together. https://worldmap.harvard.edu/data/geonode:osm_power_generators_worldwide_exzpower_generatorEPSG:4326area:area_aedg_power_house_generator<p><strong>Building Retrofit Data</strong></p> <hr> <p>This dataset contains information about the makes, models and condition of each Powerhouse’s generators.</p> <p>Powerhouse inventory by community. A powerhouse is a facility that houses the generator(s) that generates and supplies electricity to given communities. This dataset provides information about number of generators and their capacities, makes and models, and generator conditions. It also shows whether a powerhouse has control switchgear and waste heat recovery system.</p> <p><strong>Source</strong>Alaska Energy Data Gateway, developed by the Institute of Social and Economic Research, University of Alaska Anchorage, is supported by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), under EPSCoR Award # DE-SC0004903 (database and web application development), and by Alaska Energy Authority (Renewable Energy Fund data management and reporting). Database and web hosting is provided by Arctic Region Supercomputing Center, University of Alaska Fairbanks.</p> <p>Data downloded from the <a href="https://akenergygateway.alaska.edu" target="_blank">Alaska Energy Data Gateway</a>.</p>Alaska, AnchorageEPSG:4326area:us_alt_fuel_stations_lpg_postgres<p><strong>Propane Stations</strong></p> <hr> <p>Propane stations are sourced from the <a href="http://www.afdc.energy.gov/locator/stations" target="_blank">Alternative Fuels Data Center (AFDC) Alternative Fueling Station Locator</a>.</p>features, us_alt_fuel_stations_lpg_postgresEPSG:4326area:area_eia_12_pct_re_prod_by_cntry_acProportion of Renewable Energy Electricity Production (2002) Total 2012 Proportion of Renewable Energy Electricity Production by Country for all Arctic Member and Observer Countries. http://www.eia.gov/EPSG:4326area:area_aedi_15_proposed_hydroelectric<p><strong>Proposed Hydroelectric Sites</strong></p> <hr> <p>2015 Proposed Hydroelectric Sites in Alaska.</p> <p><strong>Source:</strong>Alaska Energy Authority hydroelectric database. Spatial location and attribute data updated by HDR Alaska Inc. in 2006, AEA in 2013 and 2015.</p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p> <p>Where precise locations were unavailable, locations georeferenced by AEDI to the Community centroid.</p>Alaska Energy Authority hydroelectric database, AK Energy Data Inventory’s Renewable Energy Atlas of AlaskaEPSG:4326natural_earth:ne_10m_railroadsRailroads Global map of railroads. https://www.naturalearthdata.com/railroadsEPSG:4326natural_earth:ne_10m_railroads_ferriesRailroads (ferries) Map of the world railroads (ferries) http://www.naturalearthdata.com/railroadsEPSG:4326natural_earth:ne_10m_reefsfeatures, ne_10m_reefsEPSG:4326area:area_relhum_annRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_annEPSG:4326area:area_relhum_aprRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_aprEPSG:4326area:area_relhum_augRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_augEPSG:4326area:area_relhum_decRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_decEPSG:4326area:area_relhum_febRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_febEPSG:4326area:area_relhum_janRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_janEPSG:4326area:area_relhum_julRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_julEPSG:4326area:area_relhum_junRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_junEPSG:4326area:area_relhum_marRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_marEPSG:4326area:area_relhum_mayRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_mayEPSG:4326area:area_relhum_novRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_novEPSG:4326area:area_relhum_octRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_octEPSG:4326area:area_relhum_sepRelative Humidity 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_relhum_sepEPSG:4326area:area_can_nrcan_remote_com_geninfo<p><strong>Canadian Remote Communities Database - General Community Information</strong></p> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Energy Database</a> provides information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers, Statistic Canada surveys, utilities and remote communities in Canada. The RCED will be undergoing a major data update and validation process and the data held currently should be considered a work in progress.</p> <hr> <p>The <a href="http://www.nrcan.gc.ca/energy/publications/sciences-technology/renewable/smart-grid/11916" target="_blank">Canadian Remote Communities Database</a> provides the most up-to-date information on electricity production and consumption in off-grid/remote communities in Canada. This information has been provided by federal, provincial and territorial regional officers working closely with remote communities in Canada and from Statistic Canada surveys.</p> <p><strong>Source:</strong>Canadian Remote Communities Database, <a href="http://www.nrcan.gc.ca/home" target="_blank">Natural Resources Canada (NRCAN)</a>, September 2016.</p>Canadian Remote Communities Database, off-grid/remote communities in Canada, Natural Resources Canada (NRCAN)EPSG:4326area:H_ElectricCostRes_2010<p><strong>Residential Electricity Price</strong></p> <hr> <p>These are 2010 rates calculated for residential, commercial and industrial sectors from <a href="http://205.254.135.7/electricity/sales_revenue_price/xls/table10.xls">data reported by EIA</a>. Rates were matched from EIA data and <a href="http://www.ventyx.com/" target="_blank">Ventyx (2010)</a> territory shapes. Where a match could not be made or no territory was available, a state average of the EIA data was used as backfill. Data were then averaged, weighted by area, over the counties. Data are reported by sector in $/MWh.</p>EPSG:4326area:area_can_nrcan_river_potential<p><strong>Source:</strong> NRCan/CanmetENERGY-Ottawa. For more information see the <a href="http://atlas.gc.ca/cerp-rpep/en/" target="_blank">Natural Resources Canada, Atlas of Canada - Clean Energy Resources and Projects (CERP)</a></p>Natural Resources Canada, Atlas of CanadaEPSG:4326area:swera_riversfeatures, swera_riversEPSG:4326natural_earth:ne_10m_rivers_lake_centerlinesfeatures, ne_10m_rivers_lake_centerlinesEPSG:4326natural_earth:ne_10m_roadsRoads Global map of roads http://www.naturalearthdata.com/roadsEPSG:4326iceland:roads_iceandRoads in IcelandfeaturesEPSG:3057randolph_glacier:09_rgi60_RussianArcticThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326area:femp_svp_no_incentives_sir_view<p><strong>Savings-to-Investment Ratio<br> No Incentives</strong></p> <hr> <p>The savings-to-investment (SIR) ratio is calculated using published national values of grid-tied distributed generation costs for solar ventilation preheating systems as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>, and annual average commercial electricity rates for 2014. The SIR is the estimated time needed to re-coup the installation and operation costs of the system, and is the system savings (annual generation x annual electricity rate) divided by the total cost (installation and operation costs) over the required investment return period (present worth factor). A SIR equal to 1 will break even over that period; less than 1 will not achieve enough savings to offset costs in that period; greater than 1 will achieve more savings than the costs for that period. Present Worth Factor is 23.5.</p>femp_svp_no_incentives_sir_view, featuresEPSG:4326area:femp_swh_141_no_incentives_sir_view<p><strong>Savings-to-Investment Ratio<br> No Incentives</strong></p> <hr> <p><strong>Assumes:</strong></p> <p>The savings-to-investment (SIR) ratio is calculated using published national values of grid-tied distributed generation costs for solar water heating by collector type (flat plate &amp; evacuated tube or plastic collector) as shown on <a href="http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html" target="_blank">http://www.nrel.gov/analysis/tech_lcoe_re_cost_est.html</a>, and annual average commercial electricity rates for 2014. This layer represents the SIR for a solar water heating system using [technology]. The SIR is the estimated time needed to re-coup the installation and operation costs of the system, and is the system savings (annual generation x annual electricity rate) divided by the total cost (installation and operation costs) over the required investment return period (present worth factor). A SIR equal to 1 will break even over that period; less than 1 will not achieve enough savings to offset costs in that period; greater than 1 will achieve more savings than the costs for that period. Present Worth Factor is 23.5.</p>features, femp_swh_141_no_incentives_sir_viewEPSG:4326area:area_aedi_15_sawmills<p><strong>A.K. Saw Mill Facilities</strong></p> <hr> <p><strong>Source:</strong>Alaska Wood Products Manufacturers Directory, September 2004. Juneau Economic Development Council Wood Products Development Service. Dataset augmented by AEDI via personal communication with Dan Parrent, USFS.<img src="http://jedc.org/wood.shtml" alt="" target="_blank"></p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p> <p>Where precise locations were unavailable, locations georeferenced by AEDI to the Community centroid.</p>AK Energy Data Inventory’s Renewable Energy Atlas of AlaskaEPSG:4326randolph_glacier:08_rgi60_ScandinaviaThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326nsidc:median_extent_N_04_1981-2010_polyline_v3.0Sea Ice Median Extent 1981-2010 | April April median sea ice extent for the period 1981 to 2010 ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/north/monthly/shapefiles/shp_median/polylineEPSG:3411nsidc:median_extent_N_08_1981-2010_polyline_v3.0Sea Ice Median Extent 1981-2010 | August August median sea ice extent for the period 1981 to 2010 ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/north/monthly/shapefiles/shp_median/polylineEPSG:3411nsidc:median_extent_N_12_1981-2010_polyline_v3.0Sea Ice Median Extent 1981-2010 | December December median sea ice extent for the period 1981 to 2010 ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/north/monthly/shapefiles/shp_median/polylineEPSG:3411nsidc:median_extent_N_02_1981-2010_polyline_v3.0Sea Ice Median Extent 1981-2010 | February February median sea ice extent for the period 1981 to 2010 ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/north/monthly/shapefiles/shp_median/polylineEPSG:3411nsidc:median_extent_N_01_1981-2010_polyline_v3.0Sea Ice Median Extent 1981-2010 | January January median sea ice extent for the period 1981 to 2010 ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/north/monthly/shapefiles/shp_median/polylineEPSG:3411nsidc:median_extent_N_07_1981-2010_polyline_v3.0Sea Ice Median Extent 1981-2010 | July July median sea ice extent for the period 1981 to 2010 ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/north/monthly/shapefiles/shp_median/polylineEPSG:3411nsidc:median_extent_N_06_1981-2010_polyline_v3.0Sea Ice Median Extent 1981-2010 | June May median sea ice extent for the period 1981 to 2010 ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/north/monthly/shapefiles/shp_median/polylineEPSG:3411nsidc:median_extent_N_03_1981-2010_polyline_v3.0Sea Ice Median Extent 1981-2010 | March January median sea ice extent for the period 1981 to 2010 ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/north/monthly/shapefiles/shp_median/polylineEPSG:3411nsidc:median_extent_N_05_1981-2010_polyline_v3.0Sea Ice Median Extent 1981-2010 | May May median sea ice extent for the period 1981 to 2010 ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/north/monthly/shapefiles/shp_median/polylineEPSG:3411nsidc:median_extent_N_11_1981-2010_polyline_v3.0Sea Ice Median Extent 1981-2010 | November November median sea ice extent for the period 1981 to 2010 ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/north/monthly/shapefiles/shp_median/polylineEPSG:3411nsidc:median_extent_N_10_1981-2010_polyline_v3.0Sea Ice Median Extent 1981-2010 | October October median sea ice extent for the period 1981 to 2010 ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/north/monthly/shapefiles/shp_median/polylineEPSG:3411nsidc:median_extent_N_09_1981-2010_polyline_v3.0Sea Ice Median Extent 1981-2010 | September September median sea ice extent for the period 1981 to 2010 ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/north/monthly/shapefiles/shp_median/polylineEPSG:3411natural_earth:ne_10m_admin_0_seamsfeatures, ne_10m_admin_0_seamsEPSG:4326natural_earth:ne_10m_admin_1_seamsfeatures, ne_10m_admin_1_seamsEPSG:4326area:wave_resource_shallow_depth<p><strong>Wave Energy Resource Depth</strong></p> <hr> <p>Bathymetric effects are known to have a large effect on wave characteristics at depths shallower than approximately 20m (\~65 ft) on the east coast and 50 m (\~160 ft){:target=”_blank”} on the west coast. The methodology used in this resource assessment precludes providing site-specific information to such developers. Reliable site-specific information in shallow waters can only be produced using results from models with higher spatial resolution that include shallow-water physics. The wave resource assessment group acknowledges that its results will not be accurate in the shallower waters of the inner continental shelf. These areas are indicated on the map by the dark gray regions.<br></p> <hr> <p><br> Source: The Wave Energy Resource Assessment project is a joint venture between <a href="http://www.nrel.gov/">NREL</a> <a href="http://my.epri.com/portal/server.pt?">EPRI</a> and <a href="http://www.vt.edu/" target="_blank">Virginia Tech</a>. EPRI is the prime contractor Virginia Tech is responsible for development of the models and estimating the wave resource and NREL serves as an independent validator and also develops the final GIS-based display of the data.</p>features, wave_resource_shallow_depthEPSG:4326vegetation:shrub_tundraShrub Tundra The Shrub Tundra zone comprises about 1.3% of the Earth's land surface and - like the tundra - has its main distribution in the Northern hemisphere. In general, the shrub tundra resembles the tundra biome a lot but the distinctive feature is the dominance by low shrubs >40 cm tall. Often, shrub tundras are alongside watercourses where shrubs can reach a height of >2 m. NULLshrub tundra, shrub, tundra, mountain birch, birch, willow, labrador tea, cranberry, rubus, vaccinium, crowberryEPSG:4326randolph_glacier:15_rgi60_SouthAsiaEastThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326randolph_glacier:14_rgi60_SouthAsiaWestThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326randolph_glacier:17_rgi60_SouthernAndesThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326natural_earth:ne_10m_admin_0_sovereigntySovereignty Matched boundary lines and polygons with names attributes for sovereign states. https://www.naturalearthdata.comfeatures, ne_10m_admin_0_sovereigntyEPSG:4326area:special_use_airspace_high_alt<p><strong>Special Use Airspace (SUA) High Altitude</strong></p> <hr> <p>Special Use Airspace (SUA) High and Low Altitude Files contain polygons of the airspace around the USA that is used by the Military or other to denote a “special use” ie restricted or other at certain altitudes.</p> <p><strong>Source:</strong> National Geospatial-Intelligence Agency (NGA) Digital Aeronautical Flight Information File (DAFIF) v.8.0/8.1.</p>features, special_use_airspace_high_altEPSG:4326area:special_use_airspace_low_alt<p><strong>Special Use Airspace (SUA) Low Altitude</strong></p> <hr> <p>Special Use Airspace (SUA) High and Low Altitude Files contain polygons of the airspace around the USA that is used by the Military or other to denote a “special use” i.e. restricted or other at certain altitudes.</p> <p><strong>Source:</strong> National Geospatial-Intelligence Agency (NGA) Digital Aeronautical Flight Information File (DAFIF) v.8.0/8.1.</p>features, special_use_airspace_low_altEPSG:4326area:gat_oc_std<p><strong>Standard Deviation of Current Speed</strong></p> <hr> <p>Standard deviation of the 7-year time series of the surface current speed over the entire U.S. coast.</p> <p>For more information please see:<br> * <a href="http://www.oceancurrentpower.gatech.edu/" target="_blank">Assessment of Energy Production Potential from Ocean Currents in the United States</a><br> * <a href="http://www.oceancurrentpower.gatech.edu/documentation.htm" target="_blank">Data Documentation</a></p>features, gat_oc_stdEPSG:4326area:GTP_state_geothermal_<p><strong>State Geothermal Maps</strong></p> <hr> <p>This coverage shows the regions favorable for the discovery and shallow depth (less than 1000m) of thermal water of sufficient temperature for direct-heat applications. It is probable that only small areas of this region are truly underlain by such thermal water; the region represents that part of the state that deserves exploration for thermal areas. The region is defined on the basis of various geothermal and tectonic phenomena such as locations of thermal wells and springs, above-normal heat flow, youthful volcanism, mineralization, and seismicity</p>thermal waterEPSG:4326natural_earth:ne_10m_admin_1_states_provinces_linesStates, Provinces Internal boundaries and polygons for all but a few tiny island nations. Includes names attributes and some statistical groupings of the same for smaller countries. https://www.naturalearthdata.com/statesEPSG:4326randolph_glacier:07_rgi60_SvalbardThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. Source: http://www.glims.org/RGI/rgi60_dl.htmlglacier outlines, Randolph Glacier Inventory, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326area:area_tilt_nasa_lo_res_annTILT 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_tilt_nasa_lo_res_annEPSG:4326area:area_tilt_nasa_lo_res_aprTILT 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_tilt_nasa_lo_res_aprEPSG:4326area:area_tilt_nasa_lo_res_augTILT 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_tilt_nasa_lo_res_augEPSG:4326area:area_tilt_nasa_lo_res_decTILT 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_tilt_nasa_lo_res_decEPSG:4326area:area_tilt_nasa_lo_res_febTILT 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_tilt_nasa_lo_res_febEPSG:4326area:area_tilt_nasa_lo_res_janTILT 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_tilt_nasa_lo_res_janEPSG:4326area:area_tilt_nasa_lo_res_julTILT 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_tilt_nasa_lo_res_julEPSG:4326area:area_tilt_nasa_lo_res_junTILT 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_tilt_nasa_lo_res_junEPSG:4326area:area_tilt_nasa_lo_res_marTILT 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_tilt_nasa_lo_res_marEPSG:4326area:area_tilt_nasa_lo_res_novTILT 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_tilt_nasa_lo_res_novEPSG:4326area:area_tilt_nasa_lo_res_octTILT 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_tilt_nasa_lo_res_octEPSG:4326area:area_tilt_nasa_lo_res_sepTILT 1° Resolution by NASA NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008) http://en.openei.org/wiki/SWERA/Datafeatures, area_tilt_nasa_lo_res_sepEPSG:4326area:area_tilt_nrel_mod_res_ann<p><strong>TILT NREL Moderate Resolution - Annual</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_tilt_nrel_mod_res_annPolygonEPSG:4326area:area_tilt_nrel_mod_res_apr<p><strong>TILT NREL Moderate Resolution - April</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_tilt_nrel_mod_res_aprPolygonEPSG:4326area:area_tilt_nrel_mod_res_aug<p><strong>TILT NREL Moderate Resolution - August</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_tilt_nrel_mod_res_augPolygonEPSG:4326area:area_tilt_nrel_mod_res_dec<p><strong>TILT NREL Moderate Resolution - December</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_tilt_nrel_mod_res_decPolygonEPSG:4326area:area_tilt_nrel_mod_res_feb<p><strong>TILT NREL Moderate Resolution - February</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_tilt_nrel_mod_res_febPolygonEPSG:4326area:area_tilt_nrel_mod_res_jan<p><strong>TILT NREL Moderate Resolution - January</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>area_tilt_nrel_mod_res_janPolygon, featuresEPSG:4326area:area_tilt_nrel_mod_res_jul<p><strong>TILT NREL Moderate Resolution - July</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_tilt_nrel_mod_res_julPolygonEPSG:4326area:area_tilt_nrel_mod_res_jun<p><strong>TILT NREL Moderate Resolution - June</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_tilt_nrel_mod_res_junPolygonEPSG:4326area:area_tilt_nrel_mod_res_mar<p><strong>TILT NREL Moderate Resolution - March</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_tilt_nrel_mod_res_marPolygonEPSG:4326area:area_tilt_nrel_mod_res_may<p><strong>TILT NREL Moderate Resolution - May</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_tilt_nrel_mod_res_mayPolygonEPSG:4326area:area_tilt_nrel_mod_res_nov<p><strong>TILT NREL Moderate Resolution - November</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_tilt_nrel_mod_res_novPolygonEPSG:4326area:area_tilt_nrel_mod_res_oct<p><strong>TILT NREL Moderate Resolution - October</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_tilt_nrel_mod_res_octPolygonEPSG:4326area:area_tilt_nrel_mod_res_sep<p><strong>TILT NREL Moderate Resolution - September</strong></p> <hr> <p><strong>Source:</strong> <a href="http://www.nrel.gov/" target="_blank">National Renewable Energy Laboratory (NREL)</a></p> <p>Access shared data and shapefiles from SWERA and NREL by country or region:</p> <p><a href="http://en.openei.org/datasets/node/494" target="_blank">Africa</a></p> <p><a href="http://en.openei.org/datasets/node/506" target="_blank">Bangladesh</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Caribbean</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Central America</a></p> <p><a href="http://en.openei.org/datasets/node/515" target="_blank">China</a></p> <p><a href="http://en.openei.org/datasets/node/503" target="_blank">East Asia</a></p> <p><a href="http://en.openei.org/datasets/node/525" target="_blank">Ghana</a></p> <p><a href="http://en.openei.org/datasets/node/500" target="_blank">Mexico</a></p> <p><a href="http://en.openei.org/datasets/node/533" target="_blank">Nepal</a></p> <p><a href="http://en.openei.org/datasets/node/495" target="_blank">South America</a></p> <p><a href="http://en.openei.org/datasets/node/587" target="_blank">Sri Lanka</a></p> <p><a href="http://www.nrel.gov/gis/data_solar.html" target="_blank">United States</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_tilt_nrel_mod_res_sepPolygonEPSG:4326protected_areas:protected_area_by_ecoregionPercent land area formally protected, by terrestrial ecoregion. This dataset has estimates of protected area coverage from the World Database of Protected Areas (WDPA, UNEP/IUCN 2007) with supplements for the United States (CBI 2006) and Australia (CAPAD 2006). The WDPA is the most comprehensive global catalog of protected areas and includes data about their sizes, locations, and IUCN classifications of management designation. The WDPA was assembled by a broad alliance of organizations that aimed to maintain a freely available, accurate, and current database that is accepted as a global standard by all stakeholders. The distribution of all protected areas was mapped in a Geographic Information System and then summarized to calculate the total area of all protected areas in each ecoregion and biome, respectively. All categories of protected areas in our estimates, except those that lacked location data or that had non-permanent status were included. Protected areas with only point location and area data were mapped as circles with appropriate radii. Portions of any protected areas that extended into the marine environment were clipped out. Overlapping protected areas were combined to avoid double-counting errors. The time series of cumulative protected area coverage was derived from the WDPA based on the reported year of designation. The number and total area of different categories of protected areas were calculated based on the IUCN classification assigned to each protected area. These categories indicate the intended management objectives for each protected area, but they do not necessarily predict whether that management is occurring or is effective. Protected areas for which no IUCN category was assigned were not included in these tallies. https://databasin.org/datasets/09fe3f2e8cf1402281339f0e17924e9afeatures, Percent_Land_Area_Formally_Protected_by_Terrestrial_Ecoregion_2007EPSG:4326boundaries:northern _forumThe Northern Forum The Northern Forum is a non-profit, international organization composed of fourteen sub-national or regional governments from five northern countries. The Northern Forum Regions include: - Akureyri (Iceland) - Alaska (USA) - Chukotka AO (Russia) - Gangwon Province (Korea) - Kamchatka krai - Khabarovsk krai (Russia) - Khanty - Mansiysk AO (Russia) - Krasnoyarskiy Krai (Russia) - Lapland (Finland) - Magadan oblast (Russia) - Nenetskiy AO (Russia) - Primorsky kray - Sakha Republic (Russia) - Yamal-Nenets AO (Russia) NULLEPSG:4326natural_earth:ne_10m_time_zonesTime zones A time zone is a region of the globe that observes a uniform standard time for legal, commercial, and social purposes. Time zones tend to follow the boundaries of countries and their subdivisions because it is convenient for areas in close commercial or other communication to keep the same time. https://www.naturalearthdata.comfeatures, ne_10m_time_zonesEPSG:4326area:area_camv_tree_line<p><strong>CAMV Tree Line</strong></p> <hr> <p><strong>Source:</strong><a href="http://www.arcticatlas.org/maps/themes/cp/cpcoast" target="_blank">Circumpolar Arctic Treeline Boundary Data</a> obtained from <a href="http://www.arcticatlas.org/index" target="_blank">Toolik-Arctic Geobotantical Atlas</a></p>CAMV Tree Line, Circumpolar Arctic Treeline Boundary Data, Arctic Geobotantical AtlasEPSG:4326boundaries:treeline_arctic_boundaryTree Line Arctic tree line is the northern limit of tree growth; the sinuous boundary between tundra and boreal forest; beyond which the climate is too harsh for trees to grow. It circles all of earth’s northern landmasses for more than 13000 kilometers. It is the largest ecological transition zone on the planet’s surface—a fuzzy boundary that actually loops north and south, and may appear gradual or sharp, depending on locale; It is taken by many to delineate the actual southern boundary of the Arctic zone. Past and recent changes in the position of the arctic tree line and spatial structure of nearby forests are indicators of climate change. The position of the arctic tree line remained rather stable across the northern hemisphere from 3500 years BP to the present. Studies of northern circumpolar tree line have related tree distribution to numerous environmental controls, such as permafrost, moisture, heat, radiation, and frontal circulation patterns (Barry, 1967; Bryson, 1966; Hare and Ritchie, 1972; Hustich, 1966; Larsen, 1989). Recent modeling experiments indicate that the circumpolar tree line could be shifted north tens to hundreds of kilometers if anticipated magnitudes of global warming due to increases in atmospheric greenhouse gasses are realized. NULLtreelineEPSG:4326vegetation:tundraThe tundra zone The tundra zone comprises 2.3% of the Earth's land surface and is largely constricted to the Northern hemisphere. In general, the term tundra applies to a range of low-growing vegetation beyond the cold limit of tree growth. Tundras occur both at high latitude (Arctic tundra) and at high elevation (alpine tundra). The annual average temperature typically does not exceed 5°C. The vegetation of the tundra is composed of herbaceous plants, low shrubs, mosses, and lichens. NULLtundra, arctic, alpine, birch, sedge, cassiope, whitlow, dryas, crowberry, cottongrass, woodrush, louisewort, mountain heather, willow, vaccinium, lichenEPSG:4326area:GTP_geologic_us<p><strong>Geologic Map of the United States</strong></p> <hr> <p>Rock and material that lies at or near the land surface, but not surficial materials such as soils, alluvium, and glacial deposits. The units are defined by sedimentary, volcanic, plutonic, or metamorphic rock types and by their geologic age.</p> <p><strong>Source:</strong> <a href="http://pubs.usgs.gov/atlas/geologic/" target="_blank">Generalized Geologic Map of the United States</a></p>Geologic Map of the United States, rocksEPSG:4326area:area_usarc_arpa_arctic<p><strong>USARC Arctic Boundary</strong></p> <hr> <p>Defines the Arctic boundary defined by the United States Arctic Research Commission (USARC).</p> <p>The US Arctic Research and Policy Act (ARPA) of 1984 defines the Arctic in section 112; “the term ‘Arctic’ means all United States and foreign territory north of the Arctic Circle and all United States territory north and west of the boundary formed by the Porcupine, Yukon, and Kuskokwim Rivers; all contiguous seas, including the Arctic Ocean and the Beaufort, Bering and Chukchi Seas; and the Aleutian chain.”</p> <p><strong>Source:</strong><a href="https://www.arctic.gov/index.html" target="_blank">United States Arctic Research Commission (USARC)</a>, 2009.</p> <p><a href="https://www.arctic.gov/maps.html" target="_blank">Metadata and Source Download Link</a></p>features, area_usarc_arpa_arcticLineEPSG:4326area:gtp_geothermalpoint_fix<p><strong>Geothermal - Identified Hydrothermal Sites</strong></p> <hr> <p>Identified hydrothermal sites from <a href="http://pubs.usgs.gov/fs/2008/3082/">Assessment of Moderate- and High-Temperature Geothermal Resources of the United States (2008)</a>. This document summarizes the result of the resource assessment in which the identified sites in the data set were gathered and analyzed. The methodology used to develop resource estimates for the identified hydrothermal sites is available in <a href="http://pubs.usgs.gov/of/2008/1296/" target="_blank">A Review of Methods Applied by the U.S. Geological Survey in the Assessment of Identified Geothermal Resources</a>.</p> <p>Sources:<br> Williams, Colin F., Reed, Marshall J., Mariner, Robert H., DeAngelo, Jacob, Galanis, S. Peter, Jr., 2008, Assessment of moderate- and high-temperature geothermal resources of the United States: U.S. Geological Survey Fact Sheet 2008-3082, 4 p.</p> <p>Williams, C.F., Reed, M.J., and Mariner, R.H., 2008, A review of methods applied by the U.S. Geological Survey in the assessment of identified geothermal resources: U.S. Geological Survey Open-File Report 2008-1296, 27 p.</p> <p>Additional Info:<br> <a href="http://www.nrel.gov/gis/geothermal.html/" target="_blank">NREL Geothermal Maps</a><br> <a href="http://www.nrel.gov/docs/fy10osti/47458.pdf" target="_blank">U.S. Geothermal Supply Curve</a></p> <p>Related Apps:<br> <a href="https://sam.nrel.gov/" target="_blank">System Advisor Model</a><br></p>features, gtp_geothermalpoint_fixEPSG:4326area:usgs_isolated_geosys<p><strong>Isolated Low-Temperature (&lt;90°C) Geothermal Systems</strong></p> <hr> <p>Data includes resource temperature estimates and beneficial heat/thermal energy available for Isolated low-temperature (&lt;90°C) geothermal systems (906 of 978 systems have coordinate information and presented in GT Prospector). Temperature values were estimated through the use of chemical geothermometer calculations and from information on flow rate, temperature gradient, and geologic environment. The three temperature values were used to form a triangular density distribution for calculation of the energies for each system. The geologic province is also given for each system to provide a key to the summarized values for isolated systems. The data is obtained from the United States Geological Survey (U.S.G.S.) Open-File Report 83-250 (Table-2) titled Low-Temperature (Less Than 90°C) Geothermal Systems in The United States; Reference Data for U.S.G.S. Circular 892. The report was originally published in 1982 and updated in 2015 (report forthcoming from USGS). For more information and to access the reports visit links below.</p> <p><a href="http://pubs.usgs.gov/circ/1983/0892/report.pdf" target="_blank">http://pubs.usgs.gov/circ/1983/0892/report.pdf</a> <a href="http://www.osti.gov/scitech/servlets/purl/5456555/" target="_blank">http://www.osti.gov/scitech/servlets/purl/5456555/</a></p>features, usgs_isolated_geosysEPSG:4326area:usgs_wells_springs<p><strong>Low Temperature (&lt;90°C) Geothermal Wells and Springs</strong></p> <hr> <p>Data includes available information on location, temperature, flow rate, acidity (pH) and Total Dissolved Solid (TDS) content of 2,071 wells and springs which are representative of 1,168 low-temperature geothermal systems identified in 26 States. Names used in this table are generally those used on the state geothermal resource maps. If the site is unnamed, a nearby feature is usually given for reference. The site is identified as a spring or well, and alternate names are sometimes given in parentheses. The data is obtained from the United States Geological Survey (U.S.G.S.) Open-File Report 83-250 (Table-1) titled Low-Temperature (Less Than 90°C) Geothermal Systems in The United States; Reference Data for U.S.G.S. Circular 892. The report was originally published in 1982 and updated in 2015 (report forthcoming from USGS). Detailed geochemistry data and reservoir temperature estimates (from different geothermometer calculations) are also available in the original report. For more information and to access the reports visit links below.</p> <p><a href="http://pubs.usgs.gov/circ/1983/0892/report.pdf" target="_blank">http://pubs.usgs.gov/circ/1983/0892/report.pdf</a> <a href="http://www.osti.gov/scitech/servlets/purl/5456555/" target="_blank">http://www.osti.gov/scitech/servlets/purl/5456555/</a></p>features, usgs_wells_springsEPSG:4326natural_earth:ne_10m_urban_areasUrban areas Urban areas are derived from 2002-2003 MODIS satellite data. https://www.naturalearthdata.comfeatures, ne_10m_urban_areasEPSG:4326vegetation:vegetation_zonesVegetation Zones A combined map of the vegetation zones. NULLfeatures, vegetation_zonesEPSG:4326area:area_global_volcanoesVolcanoes This data layer is point coverage containing basic geographic and geologic information for worldwide volcanoes thought to have been active in the last 10,000 years (Holocene). https://earthworks.stanford.edu/catalog/harvard-glb-volcvolcanoesEPSG:4326area:wrez_hub<p><strong>Western Renewable Energy Zones (WREZ) Hubs</strong></p> <hr> <p>Hubs are representations of regional renewable resource potential in the Western Interconnection, identified for purposes of evaluating interstate transmission lines in future phases of the WREZ initiative.</p> <p><strong>Source:</strong>Western Governors Association Western Renewable Energy Zones</p> <p><strong>Link:</strong><a href="http://www.westgov.org/rtep/219" target="_blank">http://www.westgov.org/rtep/219</a></p>features, wrez_hubEPSG:4326randolph_glacier:02_rgi60_WesternCanadaUSThe Randolph Glacier Inventory The Randolph Glacier Inventory, a global inventory of glacier outlines, may be used freely with due acknowledgement. It is intended for the estimation of total ice volumes and glacier mass changes at global and large-regional scales. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes. http://www.glims.org/RGI/rgi60_dl.htmlRandolph Glacier Inventory, glacier outlines, Global Land Ice Measurements from Space initiative (GLIMS)EPSG:4326area:GTP_smu_wells<p><strong>Western Geothermal Area Database</strong></p> <hr> <p>These data are provided by the Southern Methodist University Geothermal Laboratory. To download the data or view the full metadata visit <a href="http://smu.edu/geothermal/georesou/alldata.htm" target="_blank">http://smu.edu/geothermal/georesou/alldata.htm</a> and see the files under Regional Heat Flow Database</p>EPSG:4326area:area_aedi_15_wind_plant_generation<p><strong>Average Annual Wind Plant Generation</strong></p> <hr> <p>Average annual generation in 2011 for Wind Plants from Alaska Energy Statistics.</p> <p><strong>Source:</strong>Average generation in 2011 from Alaska Energy Statistics, 1960-2011, <a href="www.iser.uaa.alaska.edu/Publications/AlaskaEnergyStatistics2011.pdf" target="_blank">University of Alaska Anchorage Institute of Social and Economic Research, 2011.</a> Average oil, gas, and hydroelectrical generation data augmented by AEDI via personal communication with AEA staff, operating utilities, Alaska Energy Statistics 1960-2011, preliminary tables.</p> <p>Data obtained from the <a href="http://akenergyinventory.org/data" target="_blank">AK Energy Data Inventory’s Renewable Energy Atlas of Alaska</a> 2015 Data Bundle.</p> <p>For more information on the dataset and how it pertains to renewable energy in Alaska, visit the <a href="http://akenergyinventory.org/downloads/atlas/RenewableEnergyAtlasOfAlaska_April2016.pdf" target="_blank">Arctic Renewable Energy Atlas Report</a> and their <a href="http://akenergyinventory.org/atlas" target="_blank">interactive web map</a>.</p> <p>Where precise locations were unavailable, locations georeferenced by AEDI to the Community centroid.</p>average annual wind plant generation, Alaska Energy Statistics, AK Energy Data Inventory’s Renewable Energy Atlas of AlaskaEPSG:4326area:area_can_nrcan_wind_pwr<p><strong>Source:</strong> Environment and Climate Change Canada (ECCC) are the data producers of the Wind Atlas.</p> <p>For more information see the <a href="http://atlas.gc.ca/cerp-rpep/en/" target="_blank">Natural Resources Canada, Atlas of Canada - Clean Energy Resources and Projects (CERP)</a></p>area_can_nrcan_wind_pwrPolygon, featuresEPSG:4326area:area_wind_nasa_lo_res_ann<p><strong>Wind Speed 1° Resolution by NASA - Annual</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_annEPSG:4326area:area_wind_nasa_lo_res_apr<p><strong>Wind Speed 1° Resolution by NASA - April</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_aprEPSG:4326area:area_wind_nasa_lo_res_aug<p><strong>Wind Speed 1° Resolution by NASA - August</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_augEPSG:4326area:area_wind_nasa_lo_res_dec<p><strong>Wind Speed 1° Resolution by NASA - December</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_decEPSG:4326area:area_wind_nasa_lo_res_feb<p><strong>Wind Speed 1° Resolution by NASA - February</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_febEPSG:4326area:area_wind_nasa_lo_res_jan<p><strong>Wind Speed 1° Resolution by NASA - January</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_janEPSG:4326area:area_wind_nasa_lo_res_jul<p><strong>Wind Speed 1° Resolution by NASA - July</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_julEPSG:4326area:area_wind_nasa_lo_res_jun<p><strong>Wind Speed 1° Resolution by NASA - June</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_junEPSG:4326area:area_wind_nasa_lo_res_mar<p><strong>Wind Speed 1° Resolution by NASA - March</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_marEPSG:4326area:area_wind_nasa_lo_res_may<p><strong>Wind Speed 1° Resolution by NASA - May</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_mayEPSG:4326area:area_wind_nasa_lo_res_nov<p><strong>Wind Speed 1° Resolution by NASA - November</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_novEPSG:4326area:area_wind_nasa_lo_res_oct<p><strong>Wind Speed 1° Resolution by NASA - October</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_octEPSG:4326area:area_wind_nasa_lo_res_sep<p><strong>Wind Speed 1° Resolution by NASA - September</strong></p> <hr> <p><strong>Source:</strong> <a href="http://eosweb.larc.nasa.gov/sse/" target="_blank">NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)</a></p> <p>Access shared data and shapefiles from SWERA and NASA by country or region:</p> <p><a href="http://en.openei.org/datasets/node/489" target="_blank">Global</a></p> <p><br> Additional data and descriptions available here:<br> <a href="http://en.openei.org/wiki/SWERA/Data" target="_blank">SWERA Data Sets</a></p>features, area_wind_nasa_lo_res_sepEPSG:4326area:area_unep_wdpa_sep2016<p><strong>World Database on Protected Areas</strong></p> <hr> <p>The World Database on Protected Areas (WDPA) is a joint project between the United Nations Environment Programme (UNEP) and the International Union for Conservation of Nature (IUCN), managed by UNEP World Conservation Monitoring Centre (UNEP-WCMC). The dataset described here shows the global distribution of terrestrial and marine protected areas as well as sites that do not meet the standard definition of a protected area but do achieve conservation in the long-term, generically referred to as other effective area-based conservation measures (OECMs). Throughout this metadata document, protected areas and OECMs are collectively referred to as conservation areas. The dataset contains protected areas designated at the national level and under regional and international conventions and agreements. International designations include those under the Ramsar Convention, the World Heritage Convention (United Nations Educational, Scientific and Cultural Organization, UNESCO), and sites under the UNESCO’s Man and the Biosphere Programme (MAB). Regional agreements include sites under the Natura 2000 network (European), as well as Marine Protected Areas designated under regional conventions such as the Convention for the Protection of the marine Environment of the North-East Atlantic (OSPAR) and many others. It also contains data on protected areas and OECMs established by other means.</p> <p><strong>Source: </strong>IUCN and UNEP-WCMC (2016), The World Database on Protected Areas (WDPA) [On- line], September 2016, Cambridge, UK: UNEP-WCMC. Available at: <a href="www.protectedplanet.net" target="_blank">ProtectedPlanet.net</a>.</p>features, area_unep_wdpa_sep2016EPSG:4326iceland:iceland_100m_contoursfeatures, iceland_100m_contoursEPSG:3057iceland:iceland_altitudesfeatures, is50v_haedarpunktar_24122013EPSG:3057iceland:name_placefeatures, name_placeEPSG:3057area:ne_10m_landfeatures, ne_10m_landEPSG:4326arctic_shipping_routes:nwpassagefeatures, nwpassageEPSG:3973iceland:roads_distancesfeatures, roads_distancesEPSG:404000arctic_shipping_routes:shippinglanesfeatures, shippinglanesEPSG:4326absabs_2abs_3abs_4acosAddCoveragesAffineAggregateAndareaarea2AreaGridarrayasinatanatan2attributeCountBandMergebandsBandSelectBarnesSurfacebetweenboundaryboundaryDimensionboundedByBoundsbufferBufferFeatureCollectionbufferWithSegmentsCategorizeceilcenterLinecentroidclassifyClassifyByRangeClipCollectGeometriesCollection_AverageCollection_BoundsCollection_CountCollection_MaxCollection_MedianCollection_MinCollection_NearestCollection_SumCollection_UniqueConcatenatecontainsContourcontrastconvertconvexHullConvolveCoveragecosCountCoverageClassStatsCropCoveragecrossesdarkendateDifferencedateFormatdateParsedensifydesaturatedifferencedimensiondisjointdisjoint3Ddistancedistance3Ddivdouble2boolendAngleendPointenvenvelopeEqualAreaEqualIntervalequalsExactequalsExactToleranceequalToexpexteriorRingFeatureFeatureClassStatsfloorfootprintsgeometrygeometryTypegeomFromWKTgeomLengthgetGeometryNgetXgetYgetzgrayscalegreaterEqualThangreaterThanGridGroupCandidateSelectionHeatmaphslidIEEEremainderif_then_elseinin10in2in3in4in5in6in7in8in9inArrayInclusionFeatureCollectionint2bboolint2ddoubleinteriorPointinteriorRingNInterpolateintersectionIntersectionFeatureCollectionintersectsintersects3DisCachedisClosedisCoverageisEmptyisInstanceOfisLikeisNullisometricisRingisSimpleisValidisWithinDistanceisWithinDistance3DJenksJifflejsonArrayContainsjsonPointerlabelPointlanguagelapplylengthlessEqualThanlessThanlightenlinlistlistMultiplylitemliteratelogLRSGeocodeLRSMeasureLRSSegmentmapGetmaxmax_2max_3max_4minmin_2min_3min_4mincircleminimumdiameterminrectanglemixmoduloMultiplyCoveragesNearestNormalizeCoveragenorthFixnotnotEqualTonownumberFormatnumberFormat2numGeometriesnumInteriorRingnumPointsoctagonalenvelopeoffsetOroverlapsparameterparseBooleanparseDoubleparseIntparseLongpgNearestpiPointBufferspointNpointOnLinePointStackerPolygonExtractionpolygonizePolyLabellerpowpropertyPropertyExistsQuantileQueryrandomRangeLookupRasterAsPointCollectionRasterZonalStatisticsRasterZonalStatistics2RecodeRectangularCliprelaterelatePatternreprojectrescaleToPixelsrintroundround_2roundDoublesaturateScaleCoveragesetCRSshadesimplifysinsizeSnapspinsplitPolygonsqrtStandardDeviationstartAnglestartPointstrAbbreviatestrCapitalizestrConcatstrDefaultIfBlankstrEndsWithstrEqualsIgnoreCasestrIndexOfstringTemplatestrLastIndexOfstrLengthstrMatchesstrPositionstrReplacestrStartsWithstrStripAccentsstrSubstringstrSubstringStartstrToLowerCasestrToUpperCasestrTrimstrTrim2strURLEncodeStyleCoveragesymDifferencetantinttoDegreestoRadianstouchestoWKTTransformTransparencyFillunionUnionFeatureCollectionUniqueUniqueIntervalVectorToRasterVectorZonalStatisticsverticeswithin