This data table provides the detailed data quality assessment scores for the Flexibility Market Prospectus dataset. The quality assessment was carried out on the 31st March. At SPEN, we are dedicated to sharing high-quality data with our stakeholders and being transparent about its' quality. This is why we openly share the results of our data quality assessments. We collaborate closely with Data Owners to address any identified issues and enhance our overall data quality. To demonstrate our progress we conduct at a minimum, bi-annual assessments of our data quality - for datasets that are refreshed more frequently than this, please note that the quality assessment may be based on an earlier version of the dataset. To learn more about our approach to how we assess data quality, visit Data Quality - SP Energy NetworksWe welcome feedback and questions from our stakeholders regarding this process. Our Open Data Team is available to answer any enquiries or receive feedback on the assessments. You can contact them via our Open Data mailbox at opendata@spenergynetworks.co.uk.The first phase of our comprehensive data quality assessment measures the quality of our datasets across three dimensions. Please refer to the data table schema for the definitions of these dimensions. We are now in the process of expanding our quality assessments to include additional dimensions to provide a more comprehensive evaluation and will update the data tables with the results when available.DisclaimerThe data quality assessment may not represent the quality of the current dataset that is published on the Open Data Portal. Please check the date of the latest quality assessment and compare to the 'Modified' date of the corresponding dataset. The data quality assessments will be updated on either a quarterly or annual basis, dependent on the update frequency of the dataset. This information can be found in the dataset metadata, within the Information tab. If you require a more up to date quality assessment, please contact the Open Data Team at opendata@spenergynetworks.co.uk and a member of the team will be in contact.

The "Market Segment Data by Volume" data table provides information on the volume of accepted applications made to SPD and SPM over the ED1 and ED2 period. The table gives the following information:Volume of accepted applications across the SPD Licence area, aggregated by Ofgem Metered Market Segments.Volume of accepted applications across the SPM Licence area, aggregated by Ofgem Metered Market Segments.Volume of accepted applications across both Licence areas, aggregated by geographical area.For additional information on column definitions, please click on the Dataset schema link below. DisclaimerWhilst all reasonable care has been taken in the preparation of this data, SP Energy Networks does not accept any responsibility or liability for the accuracy or completeness of this data, and is not liable for any loss that may be attributed to the use of this data. For the avoidance of doubt, this data should not be used for safety critical purposes without the use of appropriate safety checks and services e.g. LineSearchBeforeUDig etc. Please raise any potential issues with the data which you have received via the feedback form available at the Feedback tab above (must be logged in to see this). Data TriageAs part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process.Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click here to access the Data Triage documentation for the Market Segment by Volume dataset.To access our full suite of Data Triage documentation, visit the SP Energy Networks Data & Information.Download dataset metadata (JSON)

Imbalance prices used for balancing responsible parties (BRPs)settlment. When imbalance prices are published on a quarter-hourly basis, the published prices have not yet been validated and can therefore only be used as an indication of the imbalance price. Only after the published prices have been validated can they be used for invoicing purposes. The records for month M are validated after the 15th of month M+1. Contains the historical data and is refreshed daily.This dataset contains data from 22/05/2024 (MARI local go-live) on.

Daily cryptocurrency data (transaction count, on-chain transaction volume, value of created coins, price, market cap, and exchange volume) in CSV format. The data sample stretches back to December 2013. Daily on-chain transaction volume is calculated as the sum of all transaction outputs belonging to the blocks mined on the given day. “Change” outputs are not included. Transaction count figure doesn’t include coinbase transactions. Zcash figures for on-chain volume and transaction count reflect data collected for transparent transactions only. In the last month, 10.5% (11/18/17) of ZEC transactions were shielded, and these are excluded from the analysis due to their private nature. Thus transaction volume figures in reality are higher than the estimate presented here, and NVT and exchange to transaction value lower. Data on shielded and transparent transactions can be found here and here. Decred data doesn’t include tickets and voting transactions. Monero transaction volume is impossible to calculate due to RingCT which hides transaction amounts.

CPV Nomenclature is used to describe European Union Public MarketsThe CPV consists of a main vocabulary for defining the subject of a contract, and a supplementary vocabulary for adding further qualitative information. The main vocabulary is based on a tree structure comprising codes of up to 9 digits (an 8 digit code plus a check digit) associated with a wording that describes the type of supplies, works or services forming the subject of the contract.The CPV consists of a main vocabulary and a supplementary vocabulary.The main vocabulary is based on a tree structure comprising codes of up to nine digits associated with a wording that describes the supplies, works or services forming the subject of the contract.The first two digits identify the divisions (XX000000-Y);The first three digits identify the groups (XXX00000-Y);The first four digits identify the classes (XXXX0000-Y);The first five digits identify the categories (XXXXX000-Y);

This information is part of the study on the economics of sport published in February 2020

References: Diane+ data, BPCE treatments

Question: How do you feel about the future of your market?

Response by percentage of staff in %

To download the main CSV file for the model run, go to Export and download the files from the Alternative Exports section

This dataset contains World IEA Oil Market Report 2001-2021. International Energy Agency Supply, Naphtha, Kerosene, Gasoline, Diesel, Demand, Export API data for more datasets to advance energy economics research

Daily cryptocurrency data (transaction count, on-chain transaction volume, value of created coins, price, market cap, and exchange volume) in CSV format. The data sample stretches back to December 2013. Daily on-chain transaction volume is calculated as the sum of all transaction outputs belonging to the blocks mined on the given day. “Change” outputs are not included. Transaction count figure doesn’t include coinbase transactions. Zcash figures for on-chain volume and transaction count reflect data collected for transparent transactions only. In the last month, 10.5% (11/18/17) of ZEC transactions were shielded, and these are excluded from the analysis due to their private nature. Thus transaction volume figures in reality are higher than the estimate presented here, and NVT and exchange to transaction value lower. Data on shielded and transparent transactions can be found here and here. Decred data doesn’t include tickets and voting transactions. Monero transaction volume is impossible to calculate due to RingCT which hides transaction amounts.

Labour force status by Labour market region (ASGS) and Sex, as described by the Australian Bureau of Statistics.https://www.abs.gov.au/statistics/labour/employment-and-unemployment/labour-force-australia-detailed/latest-release#labour-market-regions-sa4-

Introduction This dataset provides information on where UK Power Networks requires flexibility services. The dataset provides a mapping of postcodes to Flexibility Zones – for all existing and historic day-ahead and long-term flexibility requirements. This enables potential flexibility service providers to quickly understand their eligibility for revenue from flexibility, without sharing any sensitive personal or commercial information. This dataset provides an approximation of eligibility for our flexibility tenders. Please note that even if your asset is within a postcode listed in this dataset, as part of the flexibility procurement process we will need to validate that the individual meter point (MPAN) is electrically connected to the Flexibility Zone. Methodological Approach Postcodes are listed against a Flexibility Zone where at least one meter point within that postcode is electrically connected to the constrained network asset. For large Flexibility Zones, which cover multiple postcodes, this will be a very good indication of eligibility for flexibility services. For smaller Flexibility Zones, particularly those at Low Voltage, a significant proportion of properties within a listed postcode may ultimately not be eligible. As part of our flexibility procurement process, we will check the individual meter point (MPAN) to confirm its final eligibility. This dataset offers an approximation of eligibility, without requiring any sharing of household or business level data. Quality Control Statement Dispatches are passed through a quality control algorithm to flag anomalies and erroneous data. Quality control checks include: Checking the formatting of postcodes Checking the number of postcodes mapped to each Flexibility Zone Checking that Flexibility Zone names align with those in other datasets on the Open Data Portal and on UK Power Networks’ chosen flexibility market platform: www.localflex.co.uk Assurance Statement The Flex Zone to Postcode mapping is reviewed before publication by a member of Flexibility Markets team.

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/

This Dataset represents the total energy produced nationally.It is composed of the following elements:DGM (Market Generation Diagram) referring to the energy production of producers that are on the market - Information provided by REN; PRE (Special Regime Production) referring to the energy production of producers under special regime; Sum of DGM and PRE production (Total).The data is obtained through total production on the market and producers under special regime. At the end of each 15-minute period, the meter stores the total amount of energy during that interval.The update frequency is daily.Use case: This data allows us to monitor the evolution of energy produced at a national level. 1. The information made available by E-REDES constitutes an approximation to the values taken from the system and is based on the moment in which it is collected. Given that the connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is safeguarded that the information made available may be subject to subsequent changes and updates, with the exception of any omissions and/or occasional inaccuracies of location that the information may contain.2. In this way, E-REDES is not liable to third parties, namely, partners, service providers, contractors, users and customers, for damages that may arise as a result, direct or indirect, of the use of this Information, in particular when carrying out interventions, calculations and/or estimates, without confirming the accuracy and updating of the data, whereby it is duly noted that the consultation of this information does not affect the duty to promote a direct consultation with E-REDES in order to obtain updated information. The data provided by the E-REDES Open Data Portal is covered by open licenses (CC BY 4.0). There are no restrictions on access, under the commitment that data users cite the publisher. Therefore, we suggest that you cite the Open Data E-REDES Portal as:E-REDES – Distribuição de Eletricidade, “E-REDES Open Data Portal”. Accessed in “Data”. [Online] Available at https://e-redes.opendatasoft.com/pages/homepage/If you share on social media, please add #PortalOpenData_E_REDES

This dataset provides annual trade statistics for plastics and plastic products in Qatar, covering imports, exports, re-exports, net imports, and trade balance. The data is structured by year, with monetary values for each trade category, enabling analysis of trade trends, economic performance, and market dynamics in the plastics sector. It supports insights into Qatar’s trade surplus, export growth, and import dependency for plastics, aiding policymakers, businesses, and researchers in economic planning and market studies.

Data on net electricity imports and exports per market. Updated hourly, the data illustrates variations associated with exports and imported electricity sources according to market and based on time of day. The data includes wheel-through energy, which represents only a small percentage of exchanges. It was produced for Hydro‑Québec’s participation in HackQC from Données Québec in 2022.

Méthodes Data from public sources outside Hydro‑Québec is extracted and compiled. All data sources used are public. They are accessible as open data or as publicly available information.

Useful information for interpreting the data For any given hour, it is assumed that the number of megawatts (MW) corresponds to the megawatt-hours (MWh) for this hour.

Additional information

Geographic coverage: Northeastern North America Temporal coverage: 48 hours Initial distribution: 2022-10-27 Notices and conditions of use: The information provided represents raw data. The quality of the data is not guaranteed, and the data is subject to change without notice.

en cours d'élaboration par le bureau métier correspondant