The Existing Substations/Terminals/Power Stations and Annual Planning Report Information layer, indicating the majority of the point locations for facilities of the following types contained within the SWIS: Current Western Power Substation Current Non Western Power Substation Current Western Power Terminal/Power Station Current Non Western Power Terminal/Power Station This data is the same as, and supports, Western Power's Network Capacity Mapping Tool (NCMT) For more information refer NCMT_Web_Page © Western Power 2022 Western Power’s Licence Conditions govern these Data and Resources. By accessing or using the Data and/or Resources, the user agrees to be bound by Western Power’s Licence Conditions available here

This data set describes the approximate location of buried power lines associated with Western Power's Distribution network. © Western Power 2017 WARNING: This data should be considered approximate only and is intended to give the user a reasonably good idea of location relative to their own area of interest. They MUST NOT be used as a substitute for the ‘Dial Before You Dig’ service, 'feasibility study', technical evaluation, or professional advice. Please refer to the Western Power website for further information and technical advice. Western Power’s Licence Conditions govern these Data and Resources. By accessing or using the Data and/or Resources, the user agrees to be bound by Western Power’s Licence Conditions available here

Western Power High Voltage Distribution Lines layer, indicating the approximate line routes of the following supply types: High Voltage Overhead 3 Phase High Voltage Overhead Single Phase High …Show full descriptionWestern Power High Voltage Distribution Lines layer, indicating the approximate line routes of the following supply types: High Voltage Overhead 3 Phase High Voltage Overhead Single Phase High Voltage Underground 3 Phase High Voltage Underground Single Phase. WARNING: The line routes shown in these layers are approximate only and are intended to give the user a reasonably good idea of their location relative to their own area of interest. They SHOULD NOT be relied upon for accuracy and DO NOT supersede ‘Dial Before You Dig’. This data is the same as, and supports, Western Power's Network Capacity Mapping Tool (NCMT) For more information refer NCMT_Web_Page © Western Power 2017 Western Power’s Licence Conditions govern these Data and Resources. By accessing or using the Data and/or Resources, the user agrees to be bound by Western Power’s Licence Conditions available here

Note: This dataset has been updated with transmission lines for the MENA region. This is the most complete and up-to-date open map of Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007. Coverage This dataset includes planned and existing grid lines for all continental African countries and Madagascar, as well as the Middle East region. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country. An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer. Sources The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For MENA: Arab Union of Electricity and country utilities. For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information. Limitations Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed. The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.

This data set describes approximate overhead power line routes associated with Western Power's Distribution network. © Western Power 2017

This dataset has been updated with transmission lines for the MENA region. This is the most complete and up-to-date open map of Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007. Coverage This dataset includes planned and existing grid lines for all continental African countries and Madagascar, as well as the Middle East region. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country. An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer. Sources The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For MENA: Arab Union of Electricity and country utilities. For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information. Limitations Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed. The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.

This is the most complete and up-to-date open map of Sub-Saharan Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007.

Coverage: This dataset includes planned and existing grid lines for all 43 continental Sub-Saharan African countries and Madagascar. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country.

An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer.

The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps

There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information.

Limitations: Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed.

The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows the electrical generating network in Western Canada circa 1954. Generating plants are shown as either developed waterpower sites (in other words, hydro plants), or as fuel electric plants (thermal plants). The plants are portrayed on the basis of their capacity, measured in horsepower. The map also shows transmission lines of 60 000 volts or higher. Note that in a number of cases, cartographic considerations require that two or more side-by-side transmission lines be shown as a single line on the map. An interesting feature of the map is that it shows the location of potential hydro sites. Each of these is shown by a proportional circle measuring its potential capacity. There is an inset with two pie charts showing the distribution of net generating capability of facilities in 1954. Net Generating Capability estimates are based on actual operating experience assuming all equipment is available at the time of annual peak demand. These estimates make no allowance for the effect of unfavourable water or ice conditions. However, the estimates do allow for needs of the station and so deduct station services.

The GOES-R PLT West Texas Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the West Texas LMA (WTXLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017.

Map with solar irradiation and PV power potential in West Bank and Gaza. The GIS data stems from the Global Solar Atlas (http://globalsolaratlas.info). The link also provides a poster size (.tif) and midsize map (.png). The Global Solar Atlas is continuously updated. Provided GIS data layers include long-term yearly average of: (1) PVOUT – Photovoltaic power potential kWh/kWp GHI – Global horizontal irradiation kWh/m2 DIF – Diffuse horizontal irradiation kWh/m2 GTI – Global irradiation for optimally tilted surface kWh/m2 OPTA – Optimum tilt to maximize yearly yield ° DNI – Direct normal irradiation [kWh/m2]

Reliable and sustainable energy access is pivotal to socio-economic development and is an integral part of the United Nations' Sustainable Development Goal (SDG) 7. Despite this, ensuring a consistent electricity supply, especially in regions like West Africa, is a considerable challenge. In response, we introduce a novel dataset for mapping electrical networks using object recognition techniques. We uniquely created our dataset, which comprises 9,633 labeled instances within 872 images, all captured and annotated by the authors. These images cover seven critical object categories related to electricity distribution. The dataset allows for the mapping and visual inspection of physical infrastructure and overhead distribution lines, thereby promoting enhanced maintenance strategies and pinpointing areas in need of augmented public infrastructure investment. This is essential for ensuring service quality and resilience against extreme weather events. Our experiments present the performance of various existing detection algorithms on this self-constructed dataset. In fostering affordable, reliable, and sustainable energy access in West Africa, our work contributes towards the achievement of SDG 7 and can offer valuable insights for related challenges elsewhere. Overall, our research underscores the potential of machine learning and object recognition techniques in resolving critical energy infrastructure issues and propelling sustainable development goals.

This data set describes the approximate location of luminaire component of the streetlight only. This dataset comprises of streetlights managed by Western Power and as such is not a complete dataset of all streetlights in Western Australia. Note that streetlight support structures are included in the distribution poles dataset. © Western Power 2017 WARNING: This data should be considered approximate only and is intended to give the user a reasonably good idea of location relative to their own area of interest. They MUST NOT be used as a substitute for the ‘Dial Before You Dig’ service, 'feasibility study', technical evaluation, or professional advice. Please refer to the Western Power website for further information and technical advice. Western Power’s Licence Conditions govern these Data and Resources. By accessing or using the Data and/or Resources, the user agrees to be bound by Western Power’s Licence Conditions available here

This project traces the history of urban planning in San Francisco, placing special emphasis on unrealized schemes. Rather than using visual material simply to illustrate outcomes, Imagined San Francisco uses historical plans, maps, architectural renderings, and photographs to show what might have been. By enabling users to layer a series of urban plans, the project presents the city not only as a sequence of material changes, but also as a contingent process and a battleground for political power. Savvy institutional actors--like banks, developers, and many public officials--understood that in some cases to clearly articulate their interests would be to invite challenges. That means that textual sources like newspapers and municipal reports are limited in what they can tell researchers about the shape of political power. Urban plans, however, often speak volumes about interests and dynamics upon which textual sources remain silent. Mortgage lenders, for example, apparently thought it unwise to state that they wished to see a poor neighborhood cleared, to be replaced with a freeway onramp. Yet visual analysis of planning proposals makes that interest plain. So in the process of showing how the city might have looked, Imagined San Francisco also shows how political power actually was negotiated and exercised.

This map contains examples of DSS and Climate Services occurring at seasonal to sub-seasonal timescales. Specific examples of focus are Sectoral Communities in Alaska, Tornado Disaster Risk Management in the Northern Plains, Community Outreach in Western Alaska, Hydro Power Generation in Juneau, Heat Health in the Western United States, and Water Resources along the Red River.

This data set describes the approximate location of structures typically associated with Western Power's distribution network. Note this dataset also includes Western Power managed streetlight poles and support structures and as such may not necessarily indicate the presence of an overhead network. © Western Power 2017 WARNING: This data should be considered approximate only and is intended to give the user a reasonably good idea of location relative to their own area of interest. They MUST NOT be used as a substitute for the ‘Dial Before You Dig’ service, ‘feasibility study’ or ‘technical evaluation, or professional advice. Please refer to the Western Power website for further information and technical advice. Western Power’s Licence Conditions govern these Data and Resources. By accessing or using the Data and/or Resources, the user agrees to be bound by Western Power’s Licence Conditions available here

The IBEX ENA-Hi data sets are from Release 13 of all-sky map data for the first ten years, 2009-2018, in the form of ram direction Hydrogen, H, energetic neutral atom fluxes with Compton-Getting corrections for spacecraft motion and with no corrections for ENA survival probability between 1 and 100 AU. All-sky maps have been compiled for the whole 1 yr time interval. The Interstellar Boundary Explorer, IBEX, has operated in space since 2008 updating our knowledge of the outer heliosphere and its interaction with the local interstellar medium. Start-time: 2008-12-25. There are currently 14 releases of IBEX ENA-Hi and/or IBEX ENA-Lo data covering 2009-2018. The data consist of all-sky maps in Solar Ecliptic Longitude, east and west, and Latitude angles for Energetic Neutral Atom, ENA, Hydrogen fluxes from either IBEX ENA-Hi from energy band 2 through energy band 6, see the first table below, or from IBEX ENA-Lo from energy band 5 through energy band 8, see the second table below. Details of the data and enabled science from Release 13 are given in the following journal publications that describe the 1-yr data results and the IBEX-Hi and IBEX-Lo Instruments: McComas, D.J., et al. (2018), Heliosphere Responds to a Large Solar Wind Intensification: Decisive Observations from IBEX, Astrophys. J. Lett., 856(1), L10, (6 pp.), http://doi.org/10.3847/2041-8213/aab611 Funnsten, H.O., et al. (2009), The Interstellar Boundary Explorer High Energy (IBEX-Hi) Neutral Atom Imager, Space Sci. Rev., 146, 75-103, https://doi.org/10.1007/s11214-009-9504-y Fuselier, S.A., et al. (2009), The IBEX-Lo Sensor, Space Sci. Rev., 146, 117-147, https://doi.org/10.1007/s11214-009-9495-8 The IBEX ENA-Hi band/channel center energies and full width half maximum, FWHM, energy ranges are listed in a table below: +-----------------------------------------------------+ Energy Band Center Energy Energy Range ----------------------------------------------------- Channel 2 ~0.71 keV 0.52 keV to 0.95 keV Channel 3 ~1.11 keV 0.84 keV to 1.55 keV Channel 4 ~1.74 keV 1.36 keV to 2.50 keV Channel 5 ~2.73 keV 1.99 keV to 3.75 keV Channel 6 ~4.29 keV 3.13 keV to 6.00 keV +-----------------------------------------------------+ The IBEX ENA-Lo band/channel center energies are listed in a table below: +-----------------------------+ Energy Band Center Energy ----------------------------- Channel 1 0.015 keV Channel 2 0.029 keV Channel 3 0.055 keV Channel 4 0.110 keV Channel 5 0.209 keV Channel 6 0.439 keV Channel 7 0.872 keV Channel 8 1.821 keV +-----------------------------+ This particular IBEX-Hi CDF data product was constructed from the original ascii files named using the pattern hvset_noSP_antiram_cg_yearN for N=1,10, includes pixel map data from the antiram direction, with corrections, cg, for the Compton-Getting effect no corrections, nosp, for ENA survival probability between 1 AU and 100 AU, and a map compilation cadence equal to one year. In all, there are two IBEX ENA-Hi Release 13 CDF data products with one Compton-Getting correction setting, two survival probability settings, and one directional setting: ram. The table below defines how the file naming pattern is constructed for the two data products. Note that "ibex_h3_ena_hi_r13" is the file naming pattern root for these IBEX ENA-Hi CDF data products. The asterisk symbols in the last column of the table shows the line corresponding to this CDF data product within the expanded file naming pattern schema. +---------------------------------------------------------------------------------------------------+ C-G Corr. SP Corr. Dir. Acronym ENA Hi/Lo File Naming Pattern for 1 yr Skymaps --------------------------------------------------------------------------------------------------- cg nosp ram ENA Hi ibex_h3_ena_hi_r13_cg_nosp_ram_1yr cg nosp antiram ENA Hi ibex_h3_ena_hi_r13_cg_nosp_antiram_1yr *** +---------------------------------------------------------------------------------------------------+ The first column in the above table shows whether Compton-Getting, C-G, corrections have been applied to the data. C-G corrections account for how ENA measurements are affected by the the orientation of the IBEX spacecraft velocity vector relative to the arrival direction of the ENAs. * cg: Compton-Getting corrections applied * nocg: Compton-Getting corrections not applied The second column in the above table shows whether Survival Probability, SP, corrections have been applied to the data. SP corrections account for the loss of ENAs due to radiation pressure, photoionization and ionization via charge exchange with solar wind protons as they stream through the heliosphere. This correction scales the data out from IBEX at 1 AU to approximately 100 AU. In the original data this mode is denoted as Tabular. * sp: Survival Probability corrections applied * nosp: Survival Probability corrections not applied The third column in the above table shows the constraint placed on the ENA arrival direction relative to spacecraft motion used in the construction of each of the various IBEX ENA-Hi and IBEX ENA-Lo Skymaps. * omni: All data, no Constraint on the IBEX velocity vector relative to the ram direction of incoming ENAs * ram: Data constrained to times when the IBEX velocity vector pointed into the ram direction of the incoming ENAs * antiram: Data constrained to times when the IBEX velocity vector pointed away from the ram direction of the incoming ENAs The data in IBEX Release 13 are separated into 1 year segments. The following table shows the association between Release 13 map numbers from 1 to 20 with mission year from 1 to 10, orbits from 11 to 431b, and dates from 2008-12-25 to 2018-12-26. +-------------------------------------------------------------------------+ Skymap # Year Start-End of Orbit or Arcs Start Date to Stop Date ------------------------------------------------------------------------- 1 1 11-34 2008-12-25 to 2009-06-25 2 1 35-58 2009-06-25 to 2009-12-25 3 2 59-82 2009-12-25 to 2010-06-26 4 2 83-106 2010-06-26 to 2010-12-26 5 3 107-130a 2010-12-26 to 2011-06-25 6 3 130b-150a 2011-06-25 to 2011-12-24 7 4 150b-170a 2011-12-24 to 2012-06-22 8 4 170b-190b 2012-06-22 to 2012-12-26 9 5 191a-210b 2012-12-26 to 2013-06-26 10 5 211a-230b 2013-06-26 to 2013-12-26 11 6 231a-250b 2013-12-26 to 2014-06-26 12 6 251a-270b 2014-06-26 to 2014-12-24 13 7 271a-290b 2014-12-24 to 2015-06-24 14 7 291a-310b 2015-06-24 to 2015-12-23 15 8 311a-330b 2015-12-24 to 2016-06-23 16 8 331a-351a 2016-06-24 to 2016-12-26 17 9 351b-371a 2016-12-26 to 2017-06-25 18 9 371b-391a 2017-06-25 to 2017-12-25 19 10 391a-411b 2017-12-25 to 2018-06-28 20 10 412a-431b 2018-06-29 to 2018-12-26 +-------------------------------------------------------------------------+

The three Van Ness Ordinances of 1856 to 1858 resulted in the creation and mapping of the Western Addition neighborhood of San Francisco. These five manuscript maps were likely made to show the existing land claims in relation to the newly platted streets, parks, and other public spaces. They may have been used in the subsequent resolution of the various land claims. They show many interesting artifacts of the early settlement of the area before it was officially made a part of the city in the mid 1850's. The 1858 date of the five maps is estimated, based on the creation of the Van Ness map in the same year. Part of the Mission district is also covered. A scanned version of this map was georeferenced as part of the Imagined San Francisco project.

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ENWL Substations

Dataset depicting location of Substations on Electricity North West Limited’s network. Each Substation has a unique 6 digit identifier and contains information on Infeed and Outfeed Voltages amongst other attribution

While we use reasonable endeavours to ensure that the data contained within this dataset is accurate, we do not accept any responsibility or liability for the accuracy or the completeness of the content held, or for any loss which may arise from reliance on this dataset and/or its related information.

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A comprehensive dataset of average residential, commercial, and combined electricity rates in cents per kWh for all 50 U.S. states.

This project traces the history of urban planning in San Francisco, placing special emphasis on unrealized schemes. Rather than using visual material simply to illustrate outcomes, Imagined San Francisco uses historical plans, maps, architectural renderings, and photographs to show what might have been. By enabling users to layer a series of urban plans, the project presents the city not only as a sequence of material changes, but also as a contingent process and a battleground for political power. Savvy institutional actors--like banks, developers, and many public officials--understood that in some cases to clearly articulate their interests would be to invite challenges. That means that textual sources like newspapers and municipal reports are limited in what they can tell researchers about the shape of political power. Urban plans, however, often speak volumes about interests and dynamics upon which textual sources remain silent. Mortgage lenders, for example, apparently thought it unwise to state that they wished to see a poor neighborhood cleared, to be replaced with a freeway onramp. Yet visual analysis of planning proposals makes that interest plain. So in the process of showing how the city might have looked, Imagined San Francisco also shows how political power actually was negotiated and exercised.