This majority of this data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. Additional updated data for 2017 from ECREEE transmission network for West Africa, online at ECOWREX

Plan data collected and prepared for a project of the World Bank Group in July 2016. Includes existing transmission network only. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

A controlled influenza A virus transmission experiment was conducted in biosafety level 2 containment from January 23, 2018- February 13, 2018 assessing the respiratory droplet transmission efficiency of A(H3N2)/swine/Ohio/A01354299/2017 from experimentally inoculated pigs to naïve, contact ferrets. This experimental setting models the human-swine interface at agricultural fairs, where human infection with influenza viruses of swine origin has been well documented. Five pigs were housed in a standard enclosure and four ferrets were housed in isolators placed 7.5cm from the pig enclosure. Nasal swab samples from pigs were collected on 0, 1, 3, and 5 days post infection and nasal wash samples from ferrets were collected 0, 2, 4, 6, 8, and 15 days post contact. The whole genome sequences of 15 swine and 12 ferret virus isolates were obtained from respiratory samples cultured on Madin-Darby Canine Kidney cells. Sequencing was performed on an Illumina MiSeq platform and consensus sequences for each gene segment were generated using in-house software at the USDA-APHIS National Veterinary Services Laboratory.

ENTSO-E publishes many different datasets of historical data collected: hourly, monthly, and yearly. Data is aggregated by country.

This map is a comprehensive illustration of the transmission system network operated by members of the European Network of Transmission System Operators. This means that network elements are not located at their real geographic location. In general the map shows all transmission lines designed for 220kV voltage and higher and generation stations with net generation capacity of more than 100MW. Data correct up to 01/01/2019

The ENTSO-E Transparency Platform API is a restful API synchronous interface. It allows users to pull the load, generation, transmission, balancing, outages, congestion management and system operations datasets via an endpoint.

Central collection and publication of electricity generation, transportation and consumption data and information for the pan-European market.

Over many years, a coding scheme has been developed, managed and maintained within ENTSO-E (under the Common Information Model Expert Group) to facilitate cross-border exchanges and to efficiently and reliably identify different objects and parties relating to the Internal Energy Market (IEM) and its operations. This is known as the Energy Identification Coding (EIC) scheme, approved by ENTSO-E for the harmonisation and implementation of standardised electronic data interchanges. The scheme is supported by a central issuing office (CIO – ENTSO-E’s Secretariat) and ENTSO-E-authorised local issuing offices (LIOs) across Europe. These LIOs are electricity and gas Transmission System Operators along with third party associations such as A&B, APCS, BDEW, DVGW, EFET and ENTSOG, which, in liaison with taxation offices also, are responsible for the EIC scheme operations.

This endpoint provides a forward view of availability (also referred to as Output Useable data under the Grid Code) for generation and interconnector capacity, accounting for planned outages covering 2 days ahead to 14 days ahead; it is aggregated by Fuel Types categories.

This endpoint provides a forward view of availability (also referred to as Output Useable data under the Grid Code) for generation and interconnector capacity, accounting for planned outages covering availability data from 2 weeks ahead to 156 weeks ahead; it is aggregated by Fuel Types categories.

This endpoint provides the half-hourly generation outturn (Generation By Fuel type) to give our users an indication of the generation outturn for Great Britain. The data is aggregated by Fuel Type category and updated at 30-minute intervals with average MW values over 30 minutes for each category.

This endpoint provides the instantaneous generation outturn (Generation By Fuel type) to give our users an indication of the generation outturn for Great Britain. The data is aggregated by Fuel Type category and updated at five-minute intervals with average MW values over 5 minutes for each category.

Online web mapping tool for visualization and simple analysis of Earth-energy data files from public and DOE related sources. Geocube allows users to upload and visualize their own datasets but also comes preloaded with individual spatial datasets as well as spatial data collections that align to topical themes.

A Guinea subset of this dataset: [ECOWAS region - Existing and Planned Transmission Grid (2017)](https://energydata.info/dataset/transmission-grid-ecowas-region) Existing and planned transmission grid network (medium and high voltage lines) in the ECOWAS Region. Also covers other regions of West Africa. The source of the dataset is the West African Power Pool (WAPP) GIS database January 2017. WAPP collects and validates spatial information on transmission lines in a yearly basis. Includes substations from a 2014 World Bank project, digitized from a PDF map.

This 2010 study by ZGlobal, Inc. examines possible transmission interconnect opportunities, issues, customers,etc., for the McGee Mountain geothermal system. McGee Mountain is located in T45N, R27E in Humboldt County, northern Nevada. PDF Format, 833 kb file size. Geothermal Technical Partners. Study prepared by Zglobal Inc., June 2010.

Data collected and digitized as input to the geospatial least-cost planning for universal electricity access by 2030 as part of the the project fundedby World Bank for Myanmar National Electrification Plan (NEP).The dataset covers the distribution service area of the Electricity Supply Enterpise (ESE), the national utility of Myanmar. The data collection was undertaken by the Sustainable Engineering Lab/Earth Institute, in close collaboration with Resource and Environment Myanmar (REM).

This endpoint provides a forward view of availability (also referred to as Output Useable data under the Grid Code) for generation and interconnector capacity, accounting for planned outages covering 2 days ahead to 14 days ahead. The data is aggregated at national level.

This endpoint provides a forward view of availability (also referred to as Output Useable data under the Grid Code) for generation and interconnector capacity, accounting for planned outages covering availability data from 2 weeks ahead to 156 weeks ahead. The data is an aggregation of all Fuel Type categories at national level.

The Electricity Ten Year Statement outlines the ESO’s view of the National Electricity Transmission System over the next ten to twenty years.

The data portal contains various datasets on Generation, Consumption, Market, Exchanges, and Partners. To access the information and Public Data Services available on the PORTALS, the User can directly create a Public User Account by completing a registration form on the PORTALS.

This dataset is now superseded by the updated Africa Electricity Transmission and Distribution Grid Map (2017). Please use that if looking for the most up to date data. The Africa Infrastructure Country Diagnostic (AICD) was an unprecedented knowledge program on Africa’s infrastructure that grew out of the pledge by the G8 Summit of 2005 at Gleneagles to substantially increase ODA assistance to Africa, particularly to the infrastructure sector, and the subsequent formation of the Infrastructure Consortium for Africa (ICA). The AICD study was founded on the recognition that sub-Saharan Africa (SSA) suffers from a very weak infrastructural base, and that this is a key factor in the SSA region failing to realize its full potential for economic growth, international trade, and poverty reduction. The study broke new ground, with primary data collection efforts covering network service infrastructures (ICT, power, water & sanitation, road transport, rail transport, sea transport, and air transport) from 2001 to 2006 in 24 selected African countries AICD has been implemented by the World Bank on behalf of a steering committee representing the African Union, the New Partnership for Africa’s Development (NEPAD), Africa’s regional economic communities, the African Development Bank, and major infrastructure donors.

These datasets provide the approximate location of the national electricity transmission network. They are for indicative purposes only. They can only be used for emergency and land use planning and cannot be used for commercial purposes. They are owned by National Grid and you are required to acknowledge us in your product or application using "© National Grid UK".This data is supplied on a best-effort basis only, using available information as documented at the time by the transmission network operators. While every effort is made to make sure the information is accurate and up-to-date, we do not accept any liability for any direct, indirect, or consequential loss or damage of any nature--however caused--which may be sustained as a result of reliance upon such information. The datasets contain electricity transmission data only. For electricity distribution data, please contact the distribution company for your area. You can find your local distribution company by going to the Energy Networks website. If you are planning to undertake any ground works, please visit the Line Search website or contact the National Grid Asset Protection team at least 14 days in advance. All datasets are accompanied with Gemini 2.2 metadata.

The dataset comprises viral titrations collected from nasal swabs of swine and weight measurements and viral titration from nasal washes of ferrets. Nasal swabs were collected from pigs at 0, 1, 3, 5, 7 9 and 11 days post infection (dpi). Weight of ferrets was measured daily from -4 to 5, then 7, 9, 11 and 12 days post contact (dpc). Nasal washes were collected at 0, 1, 3, 5, 7, 9, 11 and 12 dpi from ferrets.

This endpoint provides a forward view of availability (also referred to as Output Useable data under the Grid Code) for generation and interconnector capacity, accounting for planned outages covering availability data from 2 days ahead to 14 days ahead; it is aggregated by National Grid Balancing Mechanism Units (NGC BMUs). In the context of this report, BMUs can be considered as generating units. Elexon BMUs differs from NGC BMUs by including a prefix e.g. 'T_'. The mapping between NGC and Elexon BMUs can be retrieved via reference data API endpoints.

This endpoint forward view of availability (also referred to as Output Useable data under the Grid Code) for generation and interconnector capacity, accounting for planned outages covering availability data from 2 weeks ahead to 156 weeks ahead; it is aggregated by Balancing Mechanism Units (BMUs). In the context of this report, BMUs can be considered as generating units. Elexon BMUs differs from NGC BMUs by including a prefix e.g. 'T_'. The mapping between NGC and Elexon BMUs can be retrieved via reference data API endpoints.