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The Prediction Of Worldwide Energy Resource (POWER) Project gathers NASA Earth Observation data and parameters related to the fields of surface solar irradiance and meteorology to serve the public in several free, easy-to-access, and easy-to-use methods. POWER helps communities become resilient amid observed climate variability by improving data accessibility, aiding research in renewable energy development, building energy efficiency, and agriculture sustainability. POWER is funded through the NASA Earth Action Program within the Earth Science Mission Directorate at NASA Langley Research Center (LaRC). --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This climatology radiation service provides climatologically-averaged global Analysis Ready Data (ARD) parameters for 2001 to 2020 for POWER’s communities. Time Interval: Climatology Time Extent: 2001/01/01 to 2020/12/31 (monthly and annual averages) Time Standard: Local Sidereal Time (LST) Grid Size: 1.0 X 1.0 Degree Projection: GCS WGS84 Extent: Global Source: NASA Prediction Of Worldwide Energy Resources (POWER) For questions or issues please email: larc-power-project@mail.nasa.gov Radiation Data Sources: NASA's CERES SYN1deg (Jan. 1, 2001 – Dec. 31, 2020) Radiation Data Parameters: ALLSKY_KT (All Sky Insolation Clearness Index): A fraction representing clearness of the atmosphere; the all sky insolation that is transmitted through the atmosphere to strike the surface of the earth divided by the average of top of the atmosphere total solar irradiance incident. ALLSKY_SFC_LW_DWN (All Sky Surface Longwave Downward Irradiance): The downward thermal infrared irradiance under all sky conditions reaching a horizontal plane the surface of the earth. Also known as Horizontal Infrared Radiation Intensity from Sky. ALLSKY_SFC_LW_UP (All Sky Surface Longwave Upward Irradiance): The upward thermal infrared irradiance under all sky conditions. ALLSKY_SFC_PAR_TOT (All Sky Surface PAR Total): The total Photosynthetically Active Radiation (PAR) incident on a horizontal plane at the surface of the earth under all sky conditions. ALLSKY_SFC_SW_DIFF (All Sky Surface Shortwave Diffuse Irradiance): The diffuse (light energy scattered out of the direction of the sun) solar irradiance incident on a horizontal plane at the surface of the earth under all sky conditions. ALLSKY_SFC_SW_DNI (All Sky Surface Shortwave Downward Direct Normal Irradiance): The direct solar irradiance incident to a horizontal plane normal (perpendicular) to the direction of the sun's position under all sky conditions. ALLSKY_SFC_SW_DWN (All Sky Surface Shortwave Downward Irradiance): The total solar irradiance incident (direct plus diffuse) on a horizontal plane at the surface of the earth under all sky conditions. An alternative term for the total solar irradiance is the "Global Horizontal Irradiance" or GHI. ALLSKY_SFC_SW_UP (All Sky Surface Shortwave Upward Irradiance): The upward shortwave irradiance under all sky conditions. ALLSKY_SFC_UV_INDEX (All Sky Surface UV Index): The ultraviolet radiation exposure index. ALLSKY_SFC_UVA (All Sky Surface UVA Irradiance): The ultraviolet A (UVA 315nm-400nm) irradiance under all sky conditions. ALLSKY_SFC_UVB (All Sky Surface UVB Irradiance): The ultraviolet B (UVB 280nm-315nm) irradiance under all sky conditions. ALLSKY_SRF_ALB (All Sky Surface Albedo): The all sky rate of reflectivity of the earth's surface; the ratio of the solar energy reflected by the surface of the earth compared to the total solar energy incident reaching the surface of the earth. AOD_55 (Aerosol Optical Depth 55): The optical thickness at 0.55 um measured vertically; the component of the atmosphere to quantify the removal of radiant energy from an incident beam. AOD_55_ADJ (Adjusted Aerosol Optical Depth 55): The adjusted optical thickness at 0.55 um measured vertically; the component of the atmosphere to quantify the removal of radiant energy from an incident beam. CLOUD_AMT (Cloud Amount): The average percent of cloud amount during the temporal period. CLOUD_AMT_DAY (Cloud Amount at Daytime): The average percent of cloud amount during daylight. CLOUD_AMT_NIGHT (Cloud Amount at Nighttime): The average percent of cloud amount during nighttime. CLOUD_OD (Cloud Optical Visible Depth): The vertical optical thickness between the top and bottom of a cloud. CLRSKY_DAYS (Clear Sky Day): The number of Clear Sky Days if the daytime cloud amount is less than 10 percent. CLRSKY_KT (Clear Sky Insolation Clearness Index): A fraction representing clearness of the atmosphere; the clear sky insolation that is transmitted through the atmosphere to strike the surface of the earth divided by the average of top of the atmosphere total solar irradiance incident. CLRSKY_SFC_LW_DWN (Clear Sky Surface Longwave Downward Irradiance): The downward thermal infrared irradiance under clear sky conditions reaching a horizontal plane the surface of the earth. Also known as Horizontal Infrared Radiation Intensity from Sky. CLRSKY_SFC_LW_UP (Clear Sky Surface Longwave Upward Irradiance): The upward thermal infrared irradiance under clear sky conditions. CLRSKY_SFC_PAR_TOT (Clear Sky Surface PAR Total): The total Photosynthetically Active Radiation (PAR) incident on a horizontal plane at the surface of the earth under clear sky conditions. CLRSKY_SFC_SW_DIFF (Clear Sky Surface Shortwave Downward Diffuse Horizontal Irradiance): The diffuse (light energy scattered out of the direction of the sun) solar irradiance incident on a horizontal plane at the surface of the earth under clear sky conditions. CLRSKY_SFC_SW_DNI (Clear Sky Surface Shortwave Downward Direct Normal Irradiance): The direct solar irradiance incident to a horizontal plane normal (perpendicular) to the direction of the sun's position under clear sky conditions. CLRSKY_SFC_SW_DWN (Clear Sky Surface Shortwave Downward Irradiance): The total solar irradiance incident (direct plus diffuse) on a horizontal plane at the surface of the earth under clear sky conditions. An alternative term for the total solar irradiance is the "Global Horizontal Irradiance" or GHI. CLRSKY_SFC_SW_UP (Clear Sky Surface Shortwave Upward Irradiance): The upward shortwave irradiance under clearsky conditions. CLRSKY_SRF_ALB (Clear Sky Surface Albedo): The clear sky rate of reflectivity of the earth's surface; the ratio of the solar energy reflected by the surface of the earth compared to the total solar energy incident reaching the surface of the earth. MIDDAY_INSOL (Midday Insolation Incident): The total amount of solar irradiance (i.e. direct plus diffuse) incident on a horizontal plane at the earth's surface during the solar noon hour midday period. PW (Precipitable Water): The total atmospheric water vapor contained in a vertical column of the atmosphere. TOA_SW_DNI (Top-Of-Atmosphere Shortwave Direct Normal Radiation): The total solar irradiance incident (direct plus diffuse) on a horizontal plane where oriented to the sun's position at the top of the atmosphere (extraterrestrial radiation). TOA_SW_DWN (Top-Of-Atmosphere Shortwave Downward Irradiance): The total solar irradiance incident (direct plus diffuse) on a horizontal plane at the top of the atmosphere (extraterrestrial radiation). TS_ADJ (Earth Skin Temperature Adjusted): The adjusted average temperature at the earth's surface.
Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows computer ownership and type of internet subscription. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the count and percent of households with no internet connection. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left. Vintage: 2019-2023ACS Table(s): B28001, B28002 (Not all lines of ACS table B28002 are available in this feature layer)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS):About the Survey Geography & ACS Technical Documentation News & Updates This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases. Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution. The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate. The data for this geographic area cannot be displayed because the number of sample cases is too small.
The Prediction Of Worldwide Energy Resource (POWER) Project gathers NASA Earth Observation data and parameters related to the fields of surface solar irradiance and meteorology to serve out to the public in several free, easy-to-access and easy-to-use methods. POWER helps communities become resilient amid observed climate variability by improving data accessibility, aiding research in renewable energy development, building energy efficiency, and supporting agriculture projects. POWER is funded through the NASA Applied Sciences Program within the Earth Science Mission Directorate at NASA Langley Research Center (LaRC). --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This is the data grid for CERES FLASHFlux that is used by the time-enabled global Analysis Ready Data (ARD) provided by the NASA Prediction Of Worldwide Energy Resource (POWER) Project's web applications and services. Grid Size: 1.0 X 1.0 Degree Projection: GCS WGS84 Extent: Global Source: NASA Prediction Of Worldwide Energy Resources (POWER) For questions or issues please email: larc-power-project@mail.nasa.gov
This data are sites where there is public investment to provide free internet in the community. This project starts with Access Charlotte sites but may include the County’s Park Wi-Fi projects in the future. The intent of this data is to track account activation at different sites and facilitate communication between the City of Charlotte, Center for Digital Equity, Spectrum, Property Owners, and Property Managers participating in this effort. It also shares the location and key information of the sites with the public. The information will be regularly updated as changes occur. There are two related tables in development. One is the CDE’s Hubspot data around engagement and another from Spectrum with enrollment data which they will submit every 6 months.
The HREA project aims to provide open access to new indicators of electricity access and reliability across the world. Leveraging satellite imagery with computational methods, these high-resolution data provide new tools to track progress toward reliable and sustainable energy access across the world. This dataset includes settlement-level measures of electricity access, reliability, and usage for 89 nations, derived from nightly VIIRS satellite imagery. Specifically, this dataset provides the following annual values at country-level granularity: 1. **Access**: Predicted likelihood that a settlement is electrified, based on night-by-night comparisons of each settlement against matched uninhabited areas over a calendar year. 2. **Reliability**: Proportion of nights a settlement is statistically brighter than matched uninhabited areas. Areas with more frequent power outages or service interruptions have lower rates. 3. **Usage**: Higher levels of brightness indicate more robust usage of outdoor lighting, which is highly correlated with overall energy consumption. 4. **Nighttime Lights**: Annual composites of VIIRS nighttime light output. For more information and methodology, please visit the HREA website.
Line features representing transmission lines in Utah, published by the Utah Automated Geographic Reference Center. Each feature includes a voltage attribute (KV) and a length measurement.
SISTEMA ECOGRAFICO CATASTALE REGIONE UMBRIA - Grafo dei tratti stradali realizzato sulla base dello stradario comunale ufficiale e relativa toponomastica riposizionato su base ortofoto digitale Terraitaly 2005 ©Compagnia Generale Ripreseaeree S.p.A. – Parma.
Utility data is extracted from our asset management system and administered by the Assets and Infrastructure team.
Overview This feature service provides a point inventory of water appurtenances maintained by Westbank First Nation (WFN). It supports operational tracking and asset management for water system components across the service area. Feature Content Water points representing appurtenances such as air release valves, blow offs, caps, curb stops, manholes, reducers, and valves. Supporting asset details for each point, including jurisdiction, condition, operation and maintenance rating, installation date, orientation, and asset identification. Geographic Coverage The service covers Westbank First Nation (WFN) managed water infrastructure within the Regional District of Central Okanagan area and related jurisdictions served by the network. Use Cases Water utility asset inventory and maintenance planning Operational mapping of valves and other appurtenances Condition assessment and lifecycle tracking Supporting field crews, inspections, and infrastructure updates Source and Use Created and maintained by Westbank First Nation (WFN) and hosted on RDCO servers, this service is available under the Regional District of Central Okanagan open data license and terms of use.
Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows computer ownership and internet access by income group. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the count and percent of households without a broadband internet subscription. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left. Vintage: 2019-2023ACS Table(s): B28004Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS):About the Survey Geography & ACS Technical Documentation News & Updates This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases. Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution. The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate. The data for this geographic area cannot be displayed because the number of sample cases is too small.
Vector grid of points for NASA's Prediction Of Worldwide Energy Resources (POWER) project, based on GMAO MERRA-2 data. Published by NASA Langley Research Center.
The Prediction Of Worldwide Energy Resource (POWER) Project gathers NASA Earth Observation data and parameters related to the fields of surface solar irradiance and meteorology to serve out to the public in several free, easy-to-access and easy-to-use methods. POWER helps communities become resilient amid observed climate variability by improving data accessibility, aiding research in renewable energy development, building energy efficiency, and supporting agriculture projects. POWER is funded through the NASA Applied Sciences Program within the Earth Science Mission Directorate at NASA Langley Research Center (LaRC). --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This is the data grid for CERES SYN1deg that is used by the time-enabled global Analysis Ready Data (ARD) provided by the NASA Prediction Of Worldwide Energy Resource (POWER) Project's web applications and services. Grid Size: 1.0 X 1.0 Degree Projection: GCS WGS84 Extent: Global Source: NASA Prediction Of Worldwide Energy Resources (POWER) For questions or issues please email: larc-power-project@mail.nasa.gov
LoRaWAN is a low power wide area network specification for wireless battery-powered systems in a regional, national or global network. The Things Network (TTN) is a community-based initiative to build an energy-saving, wide-range network based on LoRaWAN gateways for the Internet of Things. Volunteers are responsible for the provision, construction and support of gateways. These transmit long-range radio signals from energy-saving sensors to a control center via the Internet. There, the signals (e.g. measurement data, such as electricity or water meters) are further processed and forwarded to defined receivers. Displays all stations that are active at the time of the update or have been offline for less than 3 days. Further information: https://www.thethingsnetwork.org/map
The Prediction Of Worldwide Energy Resource (POWER) Project gathers NASA Earth Observation data and parameters related to the fields of surface solar irradiance and meteorology to serve the public in several free, easy-to-access, and easy-to-use methods. POWER helps communities become resilient amid observed climate variability by improving data accessibility, aiding research in renewable energy development, building energy efficiency, and agriculture sustainability. POWER is funded through the NASA Earth Action Program within the Earth Science Mission Directorate at NASA Langley Research Center (LaRC). --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This monthly radiation service provides time-enabled global Analysis Ready Data (ARD) parameters from 1984 to 2023 for the NASA POWER Project's communities. Time Interval: Monthly Time Extent: 1984/01/01 to 2023/12/31 Time Standard: Local Sidereal Time (LST) Grid Size: 1.0 X 1.0 Degree Projection: GCS WGS84 Extent: Global Source: NASA Prediction Of Worldwide Energy Resources (POWER) Radiation Data Sources: NASA's GEWEX/SRB release 4.0 archive (Jan. 1, 1984 – Dec. 31, 2000) NASA's CERES SYN1deg (Jan. 1, 2001 – Dec. 31, 2021) For questions or issues please email: larc-power-project@mail.nasa.gov Radiation Data Parameters: ALLSKY_KT (All Sky Insolation Clearness Index): A fraction representing clearness of the atmosphere; the all sky insolation that is transmitted through the atmosphere to strike the surface of the earth divided by the average of top of the atmosphere total solar irradiance incident. ALLSKY_SFC_LW_DWN (All Sky Surface Longwave Downward Irradiance): The downward thermal infrared irradiance under all sky conditions reaching a horizontal plane the surface of the earth. Also known as Horizontal Infrared Radiation Intensity from Sky. ALLSKY_SFC_LW_UP (All Sky Surface Longwave Upward Irradiance): The upward thermal infrared irradiance under all sky conditions. ALLSKY_SFC_PAR_TOT (All Sky Surface PAR Total): The total Photosynthetically Active Radiation (PAR) incident on a horizontal plane at the surface of the earth under all sky conditions. ALLSKY_SFC_SW_DIFF (All Sky Surface Shortwave Diffuse Irradiance): The diffuse (light energy scattered out of the direction of the sun) solar irradiance incident on a horizontal plane at the surface of the earth under all sky conditions. ALLSKY_SFC_SW_DNI (All Sky Surface Shortwave Downward Direct Normal Irradiance): The direct solar irradiance incident to a horizontal plane normal (perpendicular) to the direction of the sun's position under all sky conditions. ALLSKY_SFC_SW_DWN (All Sky Surface Shortwave Downward Irradiance): The total solar irradiance incident (direct plus diffuse) on a horizontal plane at the surface of the earth under all sky conditions. An alternative term for the total solar irradiance is the "Global Horizontal Irradiance" or GHI. ALLSKY_SFC_SW_UP (All Sky Surface Shortwave Upward Irradiance): The upward shortwave irradiance under all sky conditions. ALLSKY_SFC_UV_INDEX (All Sky Surface UV Index): The ultraviolet radiation exposure index. ALLSKY_SFC_UVA (All Sky Surface UVA Irradiance): The ultraviolet A (UVA 315nm-400nm) irradiance under all sky conditions. ALLSKY_SFC_UVB (All Sky Surface UVB Irradiance): The ultraviolet B (UVB 280nm-315nm) irradiance under all sky conditions. ALLSKY_SRF_ALB (All Sky Surface Albedo): The all sky rate of reflectivity of the earth's surface; the ratio of the solar energy reflected by the surface of the earth compared to the total solar energy incident reaching the surface of the earth. AOD_55 (Aerosol Optical Depth 55): The optical thickness at 0.55 um measured vertically; the component of the atmosphere to quantify the removal of radiant energy from an incident beam. AOD_55_ADJ (Adjusted Aerosol Optical Depth 55): The adjusted optical thickness at 0.55 um measured vertically; the component of the atmosphere to quantify the removal of radiant energy from an incident beam. CLOUD_AMT (Cloud Amount): The average percent of cloud amount during the temporal period. CLOUD_AMT_DAY (Cloud Amount at Daytime): The average percent of cloud amount during daylight. CLOUD_AMT_NIGHT (Cloud Amount at Nighttime): The average percent of cloud amount during nighttime. CLOUD_OD (Cloud Optical Visible Depth): The vertical optical thickness between the top and bottom of a cloud. CLRSKY_DAYS (Clear Sky Day): The number of Clear Sky Days if the daytime cloud amount is less than 10 percent. CLRSKY_KT (Clear Sky Insolation Clearness Index): A fraction representing clearness of the atmosphere; the clear sky insolation that is transmitted through the atmosphere to strike the surface of the earth divided by the average of top of the atmosphere total solar irradiance incident. CLRSKY_SFC_LW_DWN (Clear Sky Surface Longwave Downward Irradiance): The downward thermal infrared irradiance under clear sky conditions reaching a horizontal plane the surface of the earth. Also known as Horizontal Infrared Radiation Intensity from Sky. CLRSKY_SFC_LW_UP (Clear Sky Surface Longwave Upward Irradiance): The upward thermal infrared irradiance under clear sky conditions. CLRSKY_SFC_PAR_TOT (Clear Sky Surface PAR Total): The total Photosynthetically Active Radiation (PAR) incident on a horizontal plane at the surface of the earth under clear sky conditions. CLRSKY_SFC_SW_DIFF (Clear Sky Surface Shortwave Downward Diffuse Horizontal Irradiance): The diffuse (light energy scattered out of the direction of the sun) solar irradiance incident on a horizontal plane at the surface of the earth under clear sky conditions. CLRSKY_SFC_SW_DNI (Clear Sky Surface Shortwave Downward Direct Normal Irradiance): The direct solar irradiance incident to a horizontal plane normal (perpendicular) to the direction of the sun's position under clear sky conditions. CLRSKY_SFC_SW_DWN (Clear Sky Surface Shortwave Downward Irradiance): The total solar irradiance incident (direct plus diffuse) on a horizontal plane at the surface of the earth under clear sky conditions. An alternative term for the total solar irradiance is the "Global Horizontal Irradiance" or GHI. CLRSKY_SFC_SW_UP (Clear Sky Surface Shortwave Upward Irradiance): The upward shortwave irradiance under clearsky conditions. CLRSKY_SRF_ALB (Clear Sky Surface Albedo): The clear sky rate of reflectivity of the earth's surface; the ratio of the solar energy reflected by the surface of the earth compared to the total solar energy incident reaching the surface of the earth. MIDDAY_INSOL (Midday Insolation Incident): The total amount of solar irradiance (i.e. direct plus diffuse) incident on a horizontal plane at the earth's surface during the solar noon hour midday period. PW (Precipitable Water): The total atmospheric water vapor contained in a vertical column of the atmosphere. TOA_SW_DNI (Top-Of-Atmosphere Shortwave Direct Normal Radiation): The total solar irradiance incident (direct plus diffuse) on a horizontal plane where oriented to the sun's position at the top of the atmosphere (extraterrestrial radiation). TOA_SW_DWN (Top-Of-Atmosphere Shortwave Downward Irradiance): The total solar irradiance incident (direct plus diffuse) on a horizontal plane at the top of the atmosphere (extraterrestrial radiation). TS_ADJ (Earth Skin Temperature Adjusted): The adjusted average temperature at the earth's surface.
The Licensed Contractors dataset contains all contractors currently licensed by the City of Boulder, including General Contractors for construction projects, Electrical Contractors, Mechanical Contractors, Plumbing Contractors, Right of Way Contractors, Fire Contractors, Tree Contractors, Sign Contractors and Rental Housing Licensed Inspectors. All contractors who are issued a license have provided proof of certifications and insurance as required by City of Boulder Municipal Code to qualify for that type of license. Work completed through a permit in the City of Boulder requires a licensed contractor. Contractor Licenses are valid for a one-year period. Licensed Contractors are required to carry General Liability Insurance and Workers’ Compensation if they have employees, as well as valid certifications as required by license type. A license in an “issued” status is current with all requirements and will be able to apply for permits and schedule required inspections. A license in “insurance expired” status may still be in their annual license period; however, they will not be able to apply for permits or schedule inspections on existing permits due to expired insurance. Insurance policies often run on a different annual term than a contractor’s license. Once an updated policy is submitted to the city, the contractor’s license will be updated to “issued” status. It is the responsibility of the contractor to maintain the insurance requirements for the City of Boulder. Several supporting files can be used with this dataset for extra context: Data Dictionary Dictionary of classifications for types of contractors
This feature layer provides counts of registered medium & heavy duty (class 2b to 8) electric vehicles in Tempe by zip code. Each record represents a zip code and includes details about counts of registered vehicles each zip code. This data is sourced from national vehicle registration data. This information is a component of ongoing efforts to provide resources for EV charging infrastructure development in the City of Tempe. Data Scope Vehicle registration data was summarized for Q4 2025. Data Use For use in the Tempe EVCI Development Strategy Map Data Limitations Polygons depict interpretations of USPS zip code boundaries and were accessed from the City of Tempe's Data Catalog. Data does not depict class 1, light duty vehicle registration information. Data Dictionary Additional Information Contact Name: Sustainability Division Contact Email: sustainability@tempe.gov Data Source: IHS Markit, City of Tempe Data Source Type: GIS Feature Layer Preparation Method: Zip Code boundary data for Tempe was joined with vehicle registration by zip code. Publish Method: Manual Publish Frequency: One-time, static dataset
Die Trinkwasser Versorgungszonen zeigen die einzelnen Zonen einer Wasserversorgungsanlage an. Innerhalb einer Zone herrschen vornehmlich einheitliche Verhältnisse. Die unterschiedlichen Zonen sind bei größeren Wasserversorgungsanlagen der Gesamtanlage zugeordnet. Link zu den Metadaten (Update: 16.10.2026 10:58Uhr)
Tararua Water Supply Reservoir Valves sourced from the RAMM Asset Management System. Data maintained by the Tararua Alliance.
The Alternative Fuels Data Center (AFDC) provides a wealth of information and data on alternative and renewable fuels, advanced vehicles, fuel-saving strategies, and emerging transportation technologies.
Historical energy consumption in kilowatt hours (kWh) by Nashville Electric Service (NES) customers, classified by TVA Revenue Codes. Source Link: https://www.nespower.com Metadata Document: NES Monthly Energy Consumption by TVA Revenue Code Metadata.pdfContact Data Owner: opendata@nashville.gov
The Prediction Of Worldwide Energy Resource (POWER) Project gathers NASA Earth Observation data and parameters related to the fields of surface solar irradiance and meteorology to serve the public in several free, easy-to-access, and easy-to-use methods. POWER helps communities become resilient amid observed climate variability by improving data accessibility, aiding research in renewable energy development, building energy efficiency, and agriculture sustainability. POWER is funded through the NASA Earth Action Program within the Earth Science Mission Directorate at NASA Langley Research Center (LaRC). --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This annual radiation service provides time-enabled global Analysis Ready Data (ARD) parameters from 1984 to 2023 for POWER's communities. Time Interval: Annual Time Extent: 1984/01/01 to 2023/12/31 Time Standard: Local Sidereal Time (LST) Grid Size: 1.0 X 1.0 Degree Projection: GCS WGS84 Extent: Global Source: NASA Prediction Of Worldwide Energy Resources (POWER) For questions or issues please email: larc-power-project@mail.nasa.gov Radiation Data Sources: NASA's GEWEX/SRB release 4.0 archive (Jan. 1, 1984 – Dec. 31, 2000) NASA's CERES SYN1deg (Jan. 1, 2001 – Dec. 31, 2023) Radiation Data Parameters: ALLSKY_KT (All Sky Insolation Clearness Index): A fraction representing clearness of the atmosphere; the all sky insolation that is transmitted through the atmosphere to strike the surface of the earth divided by the average of top of the atmosphere total solar irradiance incident. ALLSKY_SFC_LW_DWN (All Sky Surface Longwave Downward Irradiance): The downward thermal infrared irradiance under all sky conditions reaching a horizontal plane the surface of the earth. Also known as Horizontal Infrared Radiation Intensity from Sky. ALLSKY_SFC_LW_UP (All Sky Surface Longwave Upward Irradiance): The upward thermal infrared irradiance under all sky conditions. ALLSKY_SFC_PAR_TOT (All Sky Surface PAR Total): The total Photosynthetically Active Radiation (PAR) incident on a horizontal plane at the surface of the earth under all sky conditions. ALLSKY_SFC_SW_DIFF (All Sky Surface Shortwave Diffuse Irradiance): The diffuse (light energy scattered out of the direction of the sun) solar irradiance incident on a horizontal plane at the surface of the earth under all sky conditions. ALLSKY_SFC_SW_DNI (All Sky Surface Shortwave Downward Direct Normal Irradiance): The direct solar irradiance incident to a horizontal plane normal (perpendicular) to the direction of the sun's position under all sky conditions. ALLSKY_SFC_SW_DWN (All Sky Surface Shortwave Downward Irradiance): The total solar irradiance incident (direct plus diffuse) on a horizontal plane at the surface of the earth under all sky conditions. An alternative term for the total solar irradiance is the "Global Horizontal Irradiance" or GHI. ALLSKY_SFC_SW_UP (All Sky Surface Shortwave Upward Irradiance): The upward shortwave irradiance under all sky conditions. ALLSKY_SFC_UV_INDEX (All Sky Surface UV Index): The ultraviolet radiation exposure index. ALLSKY_SFC_UVA (All Sky Surface UVA Irradiance): The ultraviolet A (UVA 315nm-400nm) irradiance under all sky conditions. ALLSKY_SFC_UVB (All Sky Surface UVB Irradiance): The ultraviolet B (UVB 280nm-315nm) irradiance under all sky conditions. ALLSKY_SRF_ALB (All Sky Surface Albedo): The all sky rate of reflectivity of the earth's surface; the ratio of the solar energy reflected by the surface of the earth compared to the total solar energy incident reaching the surface of the earth. AOD_55 (Aerosol Optical Depth 55): The optical thickness at 0.55 um measured vertically; the component of the atmosphere to quantify the removal of radiant energy from an incident beam. AOD_55_ADJ (Adjusted Aerosol Optical Depth 55): The adjusted optical thickness at 0.55 um measured vertically; the component of the atmosphere to quantify the removal of radiant energy from an incident beam. CLOUD_AMT (Cloud Amount): The average percent of cloud amount during the temporal period. CLOUD_AMT_DAY (Cloud Amount at Daytime): The average percent of cloud amount during daylight. CLOUD_AMT_NIGHT (Cloud Amount at Nighttime): The average percent of cloud amount during nighttime. CLOUD_OD (Cloud Optical Visible Depth): The vertical optical thickness between the top and bottom of a cloud. CLRSKY_DAYS (Clear Sky Day): The number of Clear Sky Days if the daytime cloud amount is less than 10 percent. CLRSKY_KT (Clear Sky Insolation Clearness Index): A fraction representing clearness of the atmosphere; the clear sky insolation that is transmitted through the atmosphere to strike the surface of the earth divided by the average of top of the atmosphere total solar irradiance incident. CLRSKY_SFC_LW_DWN (Clear Sky Surface Longwave Downward Irradiance): The downward thermal infrared irradiance under clear sky conditions reaching a horizontal plane the surface of the earth. Also known as Horizontal Infrared Radiation Intensity from Sky. CLRSKY_SFC_LW_UP (Clear Sky Surface Longwave Upward Irradiance): The upward thermal infrared irradiance under clear sky conditions. CLRSKY_SFC_PAR_TOT (Clear Sky Surface PAR Total): The total Photosynthetically Active Radiation (PAR) incident on a horizontal plane at the surface of the earth under clear sky conditions. CLRSKY_SFC_SW_DIFF (Clear Sky Surface Shortwave Downward Diffuse Horizontal Irradiance): The diffuse (light energy scattered out of the direction of the sun) solar irradiance incident on a horizontal plane at the surface of the earth under clear sky conditions. CLRSKY_SFC_SW_DNI (Clear Sky Surface Shortwave Downward Direct Normal Irradiance): The direct solar irradiance incident to a horizontal plane normal (perpendicular) to the direction of the sun's position under clear sky conditions. CLRSKY_SFC_SW_DWN (Clear Sky Surface Shortwave Downward Irradiance): The total solar irradiance incident (direct plus diffuse) on a horizontal plane at the surface of the earth under clear sky conditions. An alternative term for the total solar irradiance is the "Global Horizontal Irradiance" or GHI. CLRSKY_SFC_SW_UP (Clear Sky Surface Shortwave Upward Irradiance): The upward shortwave irradiance under clearsky conditions. CLRSKY_SRF_ALB (Clear Sky Surface Albedo): The clear sky rate of reflectivity of the earth's surface; the ratio of the solar energy reflected by the surface of the earth compared to the total solar energy incident reaching the surface of the earth. MIDDAY_INSOL (Midday Insolation Incident): The total amount of solar irradiance (i.e. direct plus diffuse) incident on a horizontal plane at the earth's surface during the solar noon hour midday period. PW (Precipitable Water): The total atmospheric water vapor contained in a vertical column of the atmosphere. TOA_SW_DNI (Top-Of-Atmosphere Shortwave Direct Normal Radiation): The total solar irradiance incident (direct plus diffuse) on a horizontal plane where oriented to the sun's position at the top of the atmosphere (extraterrestrial radiation). TOA_SW_DWN (Top-Of-Atmosphere Shortwave Downward Irradiance): The total solar irradiance incident (direct plus diffuse) on a horizontal plane at the top of the atmosphere (extraterrestrial radiation). TS_ADJ (Earth Skin Temperature Adjusted): The adjusted average temperature at the earth's surface.
The Prediction Of Worldwide Energy Resource (POWER) Project gathers NASA Earth Observation data and parameters related to the fields of surface solar irradiance and meteorology to serve out to the public in several free, easy-to-access and easy-to-use methods. POWER helps communities become resilient amid observed climate variability by improving data accessibility, aiding research in renewable energy development, building energy efficiency, and supporting agriculture projects. POWER is funded through the NASA Applied Sciences Program within the Earth Science Mission Directorate at NASA Langley Research Center (LaRC). --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This is the data grid for GEWEX SRB that is used by the time-enabled global Analysis Ready Data (ARD) provided by the NASA Prediction Of Worldwide Energy Resource (POWER) Project's web applications and services. Grid Size: 1.0 x 1.0 Degree Projection: GCS WGS84 Extent: Global Source: NASA Prediction Of Worldwide Energy Resources (POWER) For questions or issues please email: larc-power-project@mail.nasa.gov
Lighting switchgear owned by the Hanseatic and University City of Rostock, operated by Stadtwerke Rostock AG
Point feature class containing locations and attributes of assets in the Manawatū District Council water network.
Overview This layer shows the locations of more than 3,000 North American power-generating facilities using fossil fuel sources in 2005, produced through a collaborative effort between the national atlas programs of Canada, Mexico, and the United States, in partnership with the Commission for Environmental Cooperation (CEC). Each facility includes information on its primary fuel, generating capacity, and air emissions of SO2, NOx, Hg, PM2.5, PM10, CH4, N2O, and CO2. Facilities are classified based on the primary source of fuel used to generate electricity: oil, natural gas, coal, or other fuels. This map layer was developed for the CEC's 2011 publication, North American Power Plant Air Emissions. Fossil fuels are the main energy source used for electricity generation in North America, producing almost two-thirds of the electricity consumed. The data were assembled primarily from the three North American countries' national emission inventories: Canada's National Pollutant Release Inventory (NPRI) and Greenhouse Gas Emissions Reporting Program (GHGRP); the United States' Emissions and Generation Resource Integrated Database (eGRID2007) and National Emissions Inventory (NEI); and Mexico's Inventario Nacional de Emisiones (INEM), compiled from publicly available databases and reports. A Google Earth (KMZ) map of the 3,144 power plants and their air emissions is also available. For more information. Geographic Coverage The coverage spans the entire North American continent, including power-generating facilities located in Canada, Mexico, and the United States. Data Sources and Licensing Commission for Environmental Cooperation (CEC), based on data provided by multiple agencies from each country, including Environment and Climate Change Canada (ECCC), Statistics Canada, the U.S. Environmental Protection Agency (EPA), and Mexico's Secretaría de Medio Ambiente y Recursos Naturales (SEMARNAT), Secretaría de Energía (SENER), Comisión Federal de Electricidad (CFE), and Comisión Reguladora de Energía (CRE). The data is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing redistribution and adaptation, including for commercial purposes, with appropriate attribution. Update frequency: Unknown Limitations of use: None. Acknowledgment of the Commission for Environmental Cooperation would be appreciated in products derived from these data. Vintage: 2005 Applications (Intended Use) Air quality assessment and emissions tracking for the electric power sector. Environmental policy analysis and cross-border comparison of power plant emissions. Research on the relationship between fuel type, generating technology, and pollutant emissions. Integration with other thematic layers in the North American Environmental Atlas for comprehensive continental analysis. Files Download
The Prediction Of Worldwide Energy Resource (POWER) Project gathers NASA Earth Observation data and parameters related to the fields of surface solar irradiance and meteorology to serve out to the public in several free, easy-to-access and easy-to-use methods. POWER helps communities become resilient amid observed climate variability by improving data accessibility, aiding research in renewable energy development, building energy efficiency, and supporting agriculture projects. POWER is funded through the NASA Applied Sciences Program within the Earth Science Mission Directorate at NASA Langley Research Center (LaRC). --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This is the data grid for GMAO GEOS-IT that is used by the time-enabled global Analysis Ready Data (ARD) provided by the NASA Prediction Of Worldwide Energy Resource (POWER) Project's web applications and services. Grid Size: 0.5 x 0.625 Degree Projection: GCS WGS84 Extent: Global Source: NASA Prediction Of Worldwide Energy Resources (POWER) For questions or issues please email: larc-power-project@mail.nasa.gov
Information collected from the Supervisory Agency for Private Investment in Telecommunications - OSIPTEL.
Facebook has produced a model to help map global medium voltage (MV) grid infrastructure, i.e. the distribution lines which connect high-voltage transmission infrastructure to consumer-serving low-voltage distribution. The data found here are model outputs for six select African countries: Malawi, Nigeria, Uganda, DRC, Cote D’Ivoire, and Zambia. The grid maps are produced using a new methodology that employs various publicly-available datasets (night time satellite imagery, roads, political boundaries, etc) to predict the location of existing MV grid infrastructure. The model documentation and code are also available , so data scientists and planners globally can replicate the model to expand model coverage to other countries where this data is not already available. You can find the model code and documentation here: https://github.com/facebookresearch/many-to-many-dijkstra Note: current model accuracy is approximately 70% when compared to existing ground-truthed data. Accuracy can be further improved by integrating other locally-relevant information into the model and running it again. Resolution: geotiff is provided at Bing Tile Level 20
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['power'] IN ('tower', 'line') Features may have these attributes: - name - amenity - power - source - operator:type - addr:full - addr:city - building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
The dataset contains Distribution Transformers in Kenya. Retrieved from: https://energydata.info/dataset/kenya-distribution-transformers
Data for power plants with total installed generating capacity > 10 mw from the Platts World Electric Power Plants Database (WEPP 2006). Plants were georeferenced using location information from the WEPP, auxiliary GIS datasets, World Bank project documents and the internet. Locations are approximate, precision varies greatly by point, based on the source of coordinate information. The following attributes are included: PLANT: power plant name, STATUS: status (OPR, CON, PLN, OTHER, UNK), SUM_MW: total installed generating capacity, LATITUDE: approximate location, latitude, LONGITUDE: approximate location, longitude, GEN_TYPE: type of electricity generation (HYDRO, THERMAL, OTHER). Retrieved from: https://energydata.info/dataset/kenya-power-plants
This dataset describes the location of Sunwater Ltd owned industrial water distributed pipelines in Queensland. This dataset contains locations of various pipelines associated with Awoonga Callide, Blackwater, Burdekin Moranbah, Cloncurry, Collinsville, Newlands, Eungella Water, North West Queensland Water, Kenya to Chinchilla Weir, Palmtree Creek, Stanwell, Stag Creek, Tarong, Redgate and Upper Redgate Diversion, Woleebee Creek to Glebe Weir and Yarramalong Diversion pipelines.
This is the mode of the households who have electricity accesibility to their homes - There are 645 Clusters in the Standard Demographic and Health Survey (DHS) 2016 , the resolution is about 5,000 metres
The Submarine Cable Map visualizes the world's major submarine cable systems. This dataset includes cable system name, country, planning status, RFS date, cable system length, ownership, landing points, and more. TeleGeography has tracked the market for long-haul networks and submarine cables since 1999. Our data and analysis illustrate how content providers like Google and Meta are rewriting everything we know about the market. The Transport Networks Research Service keeps you in step with the industry via: * Detailed network and carrier profiles, spanning 455 carriers and more than 650 cables * Bandwidth supply and demand analysis by region and by route * Key data and analysis on major content providers, including metrics on their international bandwidth growth * Comprehensive wholesale bandwidth pricing trends * Detailed forecasts of international bandwidth supply, demand, prices, and revenues, updated quarterly. **Data creation:** 2025-11-21 **Contact points:** Resource Contact: [Telegeography](mailto:info@telegeography.com) **Resource constraints:** This work is made available under the Creative Commons License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). **Online resources:** About Telegeography Transport Networks Research Service
This layer shows the high-voltage power lines identified and extracted from the OpenStreetMap (OSM) collaborative database. The data reflects the state of the database at the time of extraction. **Data publication:** 2026-09-11 **Contact points:** Metadata Contact: [Ioannis Vaskalis](mailto:Ioannis.Vaskalis@fao.org) **Data lineage:** More information on the data and its methodology can be found here. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage
