Introduction The Long Term Development Statements (LTDS) report on a 0-5 year period, describing a forecast of load on the network and envisioned network developments. The LTDS is published at the end of May and November each year.

Long Term Development Statement Table 8 indicates any Fault Level restrictions or mitigations in place at our Grid and Primary substations. Published 30 May 2025.

More information and full reports are available from the landing page below: Long Term Development Statement and Network Development Plan Landing Page

Methodological Approach

Site Functional Locations (FLOCs) are used to associate the Substation to Key characteristics of active Grid and Primary sites — UK Power Networks 
ID field added to identify row number for reference purposes

Quality Control Statement Quality Control Measures include:

Verification steps to match features only with confirmed functional locations.
Manual review and correction of data inconsistencies.
Use of additional verification steps to ensure accuracy in the methodology.

Assurance Statement The Open Data Team and Network Insights Team worked together to ensure data accuracy and consistency.

Other Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

Introduction This dataset contains the terms and definitions included on the UKPN Open Data Portal Glossary Page.

Methodological Approach This dataset is sourced from UK Power Networks internal business glossary.

Quality Control Statement Quality Control Measures include:

Manual review and correction of data inconsistencies Use of additional verification steps to ensure accuracy in the methodology

Assurance Statement The Open Data Team and Data Governance Team worked together to ensure data accuracy and consistency.

Other UKPN Open Data Portal Glossary helps ensure common understanding of terms, used or related to the datasets published on UKPN Open Data Portal. Download dataset information: Metadata (JSON) Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

Introduction The dataset provides detailed information about UK Power Networks' Grid and Primary Sites. It includes key characteristics such as:

Spatial coordinates of each site Year commissioned Asset counts against each site Power transformer count Local authority information Winter and summer demand Transformer ratings

This data is useful for understanding the infrastructure and capacity of the electricity network across its regions.

Methodological Approach

Source: Various internal data domains - geospatial, asset, long term development statement; as well as openly available data from the Ordnance Survey and Office of National Statistics Manipulation: Various data characteristics were combined together using Functional Locations (FLOCs)

Quality Control Statement The data is provided "as is".

Assurance Statement The Open Data team has checked the data against source to ensure data accuracy and consistency. The data domain owners have checked their respective data aspects.

Other Contains data from Office for National Statistics licensed under the Open Government Licence v.3.0. Local Authority District (2022) to Grouped Local Authority District (2022) Lookup for EW - data.gov.uk

Contains Ordnance Survey data Crown copyright and database right [2019-]. Free OS OpenData Map Downloads | Free Vector & Raster Map Data | OS Data Hub

Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

subject to appropriate attribution.

Participant: Noah UrbanAffiliation: Data Driven DetroitParticipant Insights: "We submitted the Housing Information Portal, through which we provide information on up-to-date housing and property conditions in Detroit's neighborhoods. The tool allows users to access a ton of data and statistics about housing and property in their neighborhoods, and over half of the indicators on its profile pages (sample page here: https://hip.datadrivendetroit.org/custom-profiles/genesis-hope/) are sourced from the City's Open Data Portal. To me, this represents a fantastic example of the power of Open Data. After demonstrating the Portal, we had one CDO tell us that he was able to get more relevant information about his neighborhood from ten minutes of using this tool than he had been able to get from entire summers of having interns working on data collection.”

IntroductionThis dataset contains data captured from remote Power Quality logging devices currently available across 450 UK Power Network sites*. A weekly 95th percentile value per harmonic is calculated and the highest value of each harmonic amongst all weeks, over a period of 12 months (also applicable to THD) is shown.*Currently showing a sample for review

Methodological Approach Power Quality data is collected from meters on a 10-minute basis and stored in a database. 95th percentile statistics are calculated on a weekly basis and used to generate the harmonics report.Year-week is the ISO 8601 year and week number.

Quality Control Statement The data is provided "as is".

Assurance Statement Harmonic data is periodically extracted and reviewed prior to publication.

Other Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

IntroductionTo ensure we deliver a safe and reliable electricity supply or to invest in our network, we may need to carry out works on highways and footways.This dataset contains details of open street and roadworks permits and private activities taking place on the highway or on private land within the UK Power Networks footprint. See what work we are doing, where and when you can expect us to finish. This report is refreshed every two hours.For further information including contact details, please visit https://www.ukpowernetworks.co.uk/help-and-contact/road-works-delayed-or-overrunning-works

Methodological Approach

Data Extraction: Data is extracted from Street Manager onto a server every two hours. Data Upload: Another script is run every two hours to upload onto an FTP server, before passing onto the Open Data Portal.

Quality Control Statement Quality Control Measures include:

Manual review and correction of data inconsistencies Use of additional verification steps to ensure accuracy in the methodology

Assurance Statement The Open Data Team and Streetworks Team worked together to ensure data accuracy and consistency.

Other Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

The Las Campanas Redshift Survey (LCRS) consists of 26,418 redshifts of galaxies selected from a CCD-based catalog obtained in the R band. The survey covers over 700 deg² in six strips, each 1.5 x 80 degrees, three each in the north and south Galactic caps. The median redshift in the survey is about 30,000 km s^-1. Essential features of the galaxy selection and redshift measurement methods are described and tabulated in the reference paper. These details are important for subsequent analysis of the LCRS data. Two-dimensional representations of the redshift distributions reveal many repetitions of voids, on the scale of about 5000 km s^-1, sharply bounded by large walls of galaxies as seen in nearby surveys. Statistical investigations of the mean galaxy properties and of clustering on the large scale are reported elsewhere. These include studies of the luminosity function, power spectrum in two and three dimensions, correlation function, pairwise velocity distribution, identification of large-scale structures, and a group catalog. This table contains entries for 94959 objects from the LCRS for which photometric data were obtained and which were initially classified as galaxies on the basis of this photometric information, although subsequent spectroscopy indicated that a small fracton of them are actually stars. There are 27021 objects out of this total which have spectroscopic redshift information (either of themselves or of a nearby object). See also the LCRS home pages at: http://qold.astro.utoronto.ca/~lin/lcrs.html. This table was created by the HEASARC in May 2010 based on the electronic version of Table 3 from the above reference which was obtained from the CDS Catalog VII/203 file catalog.dat. This is a service provided by NASA HEASARC .

The GIS (Geographic Information System) vectorisation project will deliver the incremental digital conversion of our legacy geospatial network records. This dataset defines the sub-areas which will be incrementally delivered, detailing corresponding current status and planned completion dates. This allows users to understand the current and future coverage of digital geospatial network records as the project progresses.

Methodological Approach Progress against a defined project plan is captured and updated throughout the day. A script is run to convert into a shapefile. This shapefile is then uploaded onto the Open Data Portal.

Quality Control Statement

This dataset is provided "as is".

Assurance Statement The Open Data Team has checked outputs to validate.

Other Download dataset information: Metadata (JSON)Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

IntroductionThis dataset contains the frequency and duration that EHV electricity assets are out of service for planned outages from UK Power Networks' Network Vision - an outage planning tracking tool. Which provides a customer facing web portal to provide information about generation customer curtailments and shutdowns to our customers, and provides an interface for our customers to engage with our Outage Planners.

We have removed planned outages which are related to customer sites, i.e. this dataset is not the complete view of unplanned EHV network outages. Distributed generation customers should register and login via our Network Vision tool for full visibility.

Methodological Approach

Data Extraction and Cleaning: Data is extracted from Network Vision.

Data Filtering: We have removed planned outages which are related to customer sites, i.e. this dataset is not the complete view of unplanned EHV network outages.

  Functional Location Codes (FLOC) Matching: FLOC codes are extracted and matched to Primaries, Grid Sites and Grid Supply Points. Confirmed FLOCs are used to ensure accuracy, with any unmatched sites reviewed by the Open Data Team.

Quality Control Statement

Quality Control Measures include:

Verification steps to match features only with confirmed functional locations. Manual review and correct of data inconsistencies

Assurance Statement The Open Data Team and Outage Planning Team worked together to ensure data accuracy and consistency.

Other

Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

An Electrical Pole is a column or post used to support electrical fixtures (e.g. streetlights and decorative lights) and related equipment.Electrical Poles data are edited in the field by our Electrical staff. Edits get copied into VicMap and our Open Data Portal on a nightly basis. The "Last Updated" date shown on our Open Data Portal refers to the last time the data schema was modified in the portal, or any changes were made to this description. We update our data through nightly scripts which does not trigger the "last updated" date to change.Note: Attributes represent each field in a dataset, and some fields will contain information such as ID numbers. As a result some visualizations on the tabs on our Open Data page will not be relevant.

Get data on the intensity of energy and water usage and greenhouse gas (GHG) emissions as well as property use types for buildings larger than 100,000 square feet. Where possible, data is weather-normalized. Data is not cleansed.

This data set shows energy and water usage intensities and GHG emission intensities for buildings, including:

• commercial (for example, retail or office)
• multi-residential
• warehousing
• light industrial

Manufacturing, heavy industrial or agricultural buildings are not included. Data is not randomized and is reported by building owners or their agents according to Energy Star Portfolio Manager property type categories and may contain errors.

IntroductionWhen a generator applies and accepts a connection offer issued by UK Power Networks, and it is connecting to a GSP with no available materiality headroom, UK Power Networks will submit a Transmission Impact Assessment application to vary the BCA (Bilateral Connection Agreement).

Methodological Approach Data is compiled from existing datashare between UK Power Networks and the National Energy System Operator.

Quality Control Statement

Quality Control Measures include: Manual review and correct of data inconsistencies Use of additional verification steps to ensure accuracy in the methodology

Assurance Statement The Open Data Team and DSO Regional Development Team worked together ensure data accuracy and consistency.

OtherDownload dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/To view this data please register and login.

IntroductionFollowing the identification of Local Area Energy Planning (LAEP) use cases, this dataset lists the data sources and/or information that could help facilitate this research. View our dedicated page to find out how we derived this list: Local Area Energy Plan — UK Power Networks (opendatasoft.com)

Methodological Approach Data upload: a list of datasets and ancillary details are uploaded into a static Excel file before uploaded onto the Open Data Portal.

Quality Control Statement

Quality Control Measures include: Manual review and correct of data inconsistencies Use of additional verification steps to ensure accuracy in the methodology

Assurance Statement The Open Data Team and Local Net Zero Team worked together to ensure data accuracy and consistency.

Other Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

Please note that "number of records" in the top left corner is higher than the number of datasets available as many datasets are indexed against multiple use cases leading to them being counted as multiple records.

The purpose of this page is to describe the organization of the greenhouse gas inventory report and to indicate where to find the online material. To learn more about Canada’s official greenhouse gas inventory, visit the Main page: https://www.canada.ca/ghg-inventory Contact us: https://www.canada.ca/en/environment-climate-change/services/climate-change/greenhouse-gas-emissions/contact-team.html Documents available online: The National Inventory Report (NIR) comprises three parts. Part 1 of the NIR includes the Executive Summary and Chapters 1 to 8. Part 2 consists of Annexes 1 to 7. Part 3 includes Annexes 8 to 13. The full report can be found at the following address: https://publications.gc.ca/site/eng/9.506002/publication.html. Part 2 and Part 3 data files can be accessed by clicking on the “Explore” button below, then “Go to resource”. Description of the content of each folder: A-IPCC Sector: Contains various greenhouse gas (GHG) emissions files by Intergovernmental Panel on Climate Change (IPCC) sector and by gas, for all years, for Canada and for provinces and territories. B-Economic Sector: Contains various GHG emissions files by Economic sectors, for all years for Canada and for the latest year for provinces and territories. In the EN_GHG_Econ_Canada file, a tab containing the relationship between IPCC sector and Economic sector is also provided. Emissions are also presented by gas for Canada and for the provinces and territories. C-Tables Electricity Canada Provinces Territories: Contains summary and GHG intensity tables for Electricity in Canada. D-Emission Factors: Contains files with information on emission factors. E-LULUCF: Contains time-series estimates for the Land Use, Land-Use Change and Forestry (LULUCF) sector, geomatics files containing estimates attributed to spatial units, and a multi-year forestry improvement plan. F-Agriculture: Contains time-series estimates for the Agriculture sector and geomatics files containing estimates attributed to spatial units. G-Additional NIR Annexes: Contains Annex 1 (key categories), Annex 2 (uncertainty), Annex 3 (methodologies), Annex 4 (sectoral and reference approaches, and national energy balance), Annex 5 (completeness), Annex 7 (ozone and aerosol precursors) and Annex 8 (rounding protocol) of the National Inventory Report (NIR).

The Department of the Prime Minister and Cabinet is no longer maintaining this dataset. If you would like to take ownership of this dataset for ongoing maintenance please contact us.

PLEASE READ BEFORE USING

The data format has been updated to align with a tidy data style (http://vita.had.co.nz/papers/tidy-data.html).

The data in this dataset is manually collected and combined in a csv format from the following state and territory portals:

• https://www.cmtedd.act.gov.au/communication/holidays
• https://www.nsw.gov.au/about-nsw/public-holidays
• https://nt.gov.au/nt-public-holidays
• https://www.qld.gov.au/recreation/travel/holidays/public
• https://www.safework.sa.gov.au/resources/public-holidays
• https://worksafe.tas.gov.au/topics/laws-and-compliance/public-holidays
• https://business.vic.gov.au/business-information/public-holidays
• https://www.commerce.wa.gov.au/labour-relations/public-holidays-western-australia

The data API by default returns only the first 100 records. The JSON response will contain a key that shows the link for the next page of records. Alternatively you can view all records by updating the limit on the endpoint or using a query to select all records, i.e. /api/3/action/datastore_search_sql?sql=SELECT * from "{{resource_id}}".

The Data consists of GIS extract that provide an indicative description of the location of various parts of Ergon Energy's overhead and underground electrical distribution Network at a given point in time. Sub-transmission(TR), High Voltage(HV)(line and cable) and Low Voltage(LV)(line and cable) data, distribution substations (pole and padmount) and zone substations have been supplied.

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since the first reported coronavirus case in Washington State on Jan. 21, 2020, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

The Canadian Wind Turbine Database contains the geographic location and key technology details for wind turbines installed in Canada. This dataset was jointly compiled by researchers at CanmetENERGY-Ottawa and by the Centre for Applied Business Research in Energy and the Environment at the University of Alberta, under contract from Natural Resources Canada. Additional contributions were made by the Department of Civil & Mineral Engineering at the University of Toronto. Note that total project capacity was sourced from publicly available information, and may not match the sum of individual turbine rated capacity due to de-rating and other factors. The turbine numbering scheme adopted for this database is not intended to match the developer’s asset numbering. This database will be updated in the future. If you are aware of any errors, and would like to provide additional information, or for general inquiries, please use the contact email address listed on this page.

Introduction The Long Term Development Statements (LTDS) report on a 0-5 year period, describing a forecast of load on the network and envisioned network developments. The LTDS is published at the end of May and November each year.

Long Term Development Statement Table 7 indicates Operational Restrictions in place at our Grid and Primary substations. Published 30 May 2025.

More information and full reports are available from the landing page below: Long Term Development Statement and Network Development Plan Landing Page

Methodological Approach

Site Functional Locations (FLOCs) are used to associate the Substation to Key characteristics of active Grid and Primary sites — UK Power Networks 
ID field added to identify row number for reference purposes

Quality Control Statement Quality Control Measures include:

Verification steps to match features only with confirmed functional locations.
Manual review and correction of data inconsistencies.
Use of additional verification steps to ensure accuracy in the methodology.

Assurance Statement The Open Data Team and Network Insights Team together ensure data accuracy and consistency.

Other Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/