AndreaBozzo/ceres-open-data-index huggingface dataset:
Diagrama de Carga de Subestação (Faro, Guarda e Leiria)

This dataset presents the load diagram of electrical grid substations, with hourly records and geographic location (district, municipality, and parish). The information allows for the analysis and comparison of load between different substations. The dataset is a strategic tool for energy project promoters, operators, and researchers, supporting the integration of renewable energy sources and large consumers into the grid. The update frequency is monthly. The fields that make up the dataset are: * Substation Code— Substation identifier code * Substation— Substation designation * District— District name * Municipality— Municipality name * Parish— Parish name * Date/time— Date and time of the record (YYYY-MM-DD HH:MM) * Energy— Energy (in kWh) recorded at the substation at the indicated time This dataset contains the districts of Faro, Guarda and Leiria. Use Cases: * Operational planning: comparing loads between substations to optimize energy distribution and avoid overloads. * Renewable energy integration: supporting impact studies of the introduction of renewable energy production on grid capacity and stability. * Large consumers and flexibility: providing data for analyzing the connection capacity of large loads (e.g., data centers, industries) and evaluating flexibility programs. 1. The information provided by E-REDES is an approximation of the values retrieved from the system and refers to the moment it is collected. Given that connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is understood that the information provided may be subject to subsequent changes and updates, and any omissions and/or occasional inaccuracies in location that the information may contain are also reserved. 2. Therefore, E-REDES is not liable to third parties, namely partners, service providers, contractors, users and clients, for any damages that may arise as a direct or indirect consequence of the use of this Information, particularly when carrying out interventions, calculations and/or estimates, without confirmation of the accuracy and updating of the data. It is duly noted that consulting this information does not prejudice the obligation to directly contact E-REDES 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, provided that users of the data cite the publisher. Therefore, we suggest that you cite the E-REDES Open Data Portal as: E-REDES – Electricity Distribution, “E-REDES Open Data Portal”. Accessed on “Date”. [Online] Available at https://e-redes.opendatasoft.com/pages/homepage/ If you share on social media, please add #PortalOpenData_E_REDES
Diagrama de Carga de Subestação (Porto, Santarém e Setúbal)

This dataset presents the load diagram of electrical grid substations, with hourly records and geographic location (district, municipality, and parish). The information allows for the analysis and comparison of load between different substations. The dataset is a strategic tool for energy project promoters, operators, and researchers, supporting the integration of renewable energy sources and large consumers into the grid. The update frequency is monthly. The fields that make up the dataset are: * Substation Code— Substation identifier code * Substation— Substation designation * District— District name * Municipality— Municipality name * Parish— Parish name * Date/time— Date and time of the record (YYYY-MM-DD HH:MM) * Energy— Energy (in kWh) recorded at the substation at the indicated time This dataset contains the districts of Porto, Santarém and Setúbal. Use Cases: * Operational planning: comparing loads between substations to optimize energy distribution and avoid overloads. * Renewable energy integration: supporting impact studies of the introduction of renewable energy production on grid capacity and stability. * Large consumers and flexibility: providing data for analyzing the connection capacity of large loads (e.g., data centers, industries) and evaluating flexibility programs. 1. The information provided by E-REDES is an approximation of the values retrieved from the system and refers to the moment it is collected. Given that connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is understood that the information provided may be subject to subsequent changes and updates, and any omissions and/or occasional inaccuracies in location that the information may contain are also reserved. 2. Therefore, E-REDES is not liable to third parties, namely partners, service providers, contractors, users and clients, for any damages that may arise as a direct or indirect consequence of the use of this Information, particularly when carrying out interventions, calculations and/or estimates, without confirmation of the accuracy and updating of the data. It is duly noted that consulting this information does not prejudice the obligation to directly contact E-REDES 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, provided that users of the data cite the publisher. Therefore, we suggest that you cite the E-REDES Open Data Portal as: E-REDES – Electricity Distribution, “E-REDES Open Data Portal”. Accessed on “Date”. [Online] Available at https://e-redes.opendatasoft.com/pages/homepage/ If you share on social media, please add #PortalOpenData_E_REDES
Diagrama de Carga de Subestação (Aveiro, Beja, Braga, Bragança, Castelo Branco, Coimbra e Évora)

This dataset presents the load diagram of electrical grid substations, with hourly records and geographic location (district, municipality, and parish). The information allows for the analysis and comparison of load between different substations. The dataset is a strategic tool for energy project promoters, operators, and researchers, supporting the integration of renewable energy sources and large consumers into the grid. The update frequency is monthly. The fields that make up the dataset are: * Substation Code— Substation identifier code * Substation— Substation designation * District— District name * Municipality— Municipality name * Parish— Parish name * Date/time— Date and time of the record (YYYY-MM-DD HH:MM) * Energy— Energy (in kWh) recorded at the substation at the indicated time This dataset contains the districts of Aveiro, Beja, Braga, Bragança, Castelo Branco, Coimbra and Évora . Use Cases: * Operational planning: comparing loads between substations to optimize energy distribution and avoid overloads. * Renewable energy integration: supporting impact studies of the introduction of renewable energy production on grid capacity and stability. * Large consumers and flexibility: providing data for analyzing the connection capacity of large loads (e.g., data centers, industries) and evaluating flexibility programs. 1. The information provided by E-REDES is an approximation of the values retrieved from the system and refers to the moment it is collected. Given that connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is understood that the information provided may be subject to subsequent changes and updates, and any omissions and/or occasional inaccuracies in location that the information may contain are also reserved. 2. Therefore, E-REDES is not liable to third parties, namely partners, service providers, contractors, users and clients, for any damages that may arise as a direct or indirect consequence of the use of this Information, particularly when carrying out interventions, calculations and/or estimates, without confirmation of the accuracy and updating of the data. It is duly noted that consulting this information does not prejudice the obligation to directly contact E-REDES 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, provided that users of the data cite the publisher. Therefore, we suggest that you cite the E-REDES Open Data Portal as: E-REDES – Electricity Distribution, “E-REDES Open Data Portal”. Accessed on “Date”. [Online] Available at https://e-redes.opendatasoft.com/pages/homepage/ If you share on social media, please add #PortalOpenData_E_REDES
Diagrama de Carga de Subestação (Viana do Castelo, Vila Real e Viseu)

This dataset presents the load diagram of electrical grid substations, with hourly records and geographic location (district, municipality, and parish). The information allows for the analysis and comparison of load between different substations. The dataset is a strategic tool for energy project promoters, operators, and researchers, supporting the integration of renewable energy sources and large consumers into the grid. The update frequency is monthly. The fields that make up the dataset are: * Substation Code— Substation identifier code * Substation— Substation designation * District— District name * Municipality— Municipality name * Parish— Parish name * Date/time— Date and time of the record (YYYY-MM-DD HH:MM) * Energy— Energy (in kWh) recorded at the substation at the indicated time This dataset contains the districts of Viana do Castelo, Vila Real and Viseu. Use Cases: * Operational planning: comparing loads between substations to optimize energy distribution and avoid overloads. * Renewable energy integration: supporting impact studies of the introduction of renewable energy production on grid capacity and stability. * Large consumers and flexibility: providing data for analyzing the connection capacity of large loads (e.g., data centers, industries) and evaluating flexibility programs. 1. The information provided by E-REDES is an approximation of the values retrieved from the system and refers to the moment it is collected. Given that connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is understood that the information provided may be subject to subsequent changes and updates, and any omissions and/or occasional inaccuracies in location that the information may contain are also reserved. 2. Therefore, E-REDES is not liable to third parties, namely partners, service providers, contractors, users and clients, for any damages that may arise as a direct or indirect consequence of the use of this Information, particularly when carrying out interventions, calculations and/or estimates, without confirmation of the accuracy and updating of the data. It is duly noted that consulting this information does not prejudice the obligation to directly contact E-REDES 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, provided that users of the data cite the publisher. Therefore, we suggest that you cite the E-REDES Open Data Portal as: E-REDES – Electricity Distribution, “E-REDES Open Data Portal”. Accessed on “Date”. [Online] Available at https://e-redes.opendatasoft.com/pages/homepage/ If you share on social media, please add #PortalOpenData_E_REDES
Hourly Consumption of Electric Mobility (Aveiro, Beja, Braga, Bragança, Castelo Branco, Coimbra, Évora, Faro, Guarda and Leiria)

This dataset presents information on hourly electricity consumption associated with electric mobility (EM) on the public grid, segmented by state, municipality, and district. The records allow for understanding usage patterns, identifying areas of higher demand, planning new charging infrastructure, and evaluating the impact of the growth of electric mobility on the grid. The information also assists in the integration of renewable energy sources and storage solutions, contributing to an efficient energy transition. The data is obtained from internal E-REDES sources that monitor monthly consumption associated with electric mobility. The update frequency is monthly. The fields that make up the dataset are: * Date – Date of the record * Time – Time of the record * District – District name * Municipality – Municipality name * Parish – Parish name * Consumption – Electricity consumption (in kWh) This dataset contains the districts of Aveiro, Beja, Braga, Bragança, Castelo Branco, Coimbra, Évora, Faro, Guarda, and Leiria. Use Cases: * Analyze energy consumption patterns in different geographic areas. * Strategic planning of new Electric Vehicle Charging Points (EVCPs). * Study of the impacts of the growth of electric mobility on the electricity grid. * Support for the integration of renewable energies and demand-based storage. 1. The information provided by E-REDES is an approximation of the values retrieved from the system and refers to the moment it is collected. Given that connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is understood that the information provided may be subject to subsequent changes and updates, and any omissions and/or occasional inaccuracies in location that the information may contain are also reserved. 2. Therefore, E-REDES is not liable to third parties, namely partners, service providers, contractors, users and clients, for any damages that may arise as a direct or indirect consequence of the use of this Information, particularly when carrying out interventions, calculations and/or estimates, without confirmation of the accuracy and updating of the data. It is duly noted that consulting this information does not prejudice the obligation to directly contact E-REDES 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, provided that users of the data cite the publisher. Therefore, we suggest that you cite the E-REDES Open Data Portal as: E-REDES – Electricity Distribution, “E-REDES Open Data Portal”. Accessed on “Date”. [Online] Available at https://e-redes.opendatasoft.com/pages/homepage/ If you share on social media, please add #PortalOpenData_E_REDES
Hourly Consumption of Electric Mobility (Lisbon, Portalegre, Porto, Santarém, Setúbal, Viana do Castelo, Vila Real and Viseu)

This dataset presents information on hourly electricity consumption associated with electric mobility (EM) on the public grid, segmented by state, municipality, and district. The records allow for understanding usage patterns, identifying areas of higher demand, planning new charging infrastructure, and evaluating the impact of the growth of electric mobility on the grid. The information also assists in the integration of renewable energy sources and storage solutions, contributing to an efficient energy transition. The data is obtained from internal E-REDES sources that monitor monthly consumption associated with electric mobility. The update frequency is monthly. The fields that make up the dataset are: * Date – Date of the record * Time – Time of the record * District – District name * Municipality – Municipality name * Parish – Parish name * Energy Consumed – Electricity consumption (in kWh) This dataset contains the districts of Lisbon, Portalegre, Porto, Santarém, Setúbal, Viana do Castelo, Vila Real, and Viseu. Use Cases: Analyze energy consumption patterns in different geographic areas. Strategic planning of new Electric Vehicle Charging Points (EVCPs). Study of the impacts of the growth of electric mobility on the electricity grid. Support for the integration of renewable energies and demand-based storage. 1. The information provided by E-REDES is an approximation of the values retrieved from the system and refers to the moment it is collected. Given that connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is understood that the information provided may be subject to subsequent changes and updates, and any omissions and/or occasional inaccuracies in location that the information may contain are also reserved. 2. Therefore, E-REDES is not liable to third parties, namely partners, service providers, contractors, users and clients, for any damages that may arise as a direct or indirect consequence of the use of this Information, particularly when carrying out interventions, calculations and/or estimates, without confirmation of the accuracy and updating of the data. It is duly noted that consulting this information does not prejudice the obligation to directly contact E-REDES 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, provided that users of the data cite the publisher. Therefore, we suggest that you cite the E-REDES Open Data Portal as: E-REDES – Electricity Distribution, “E-REDES Open Data Portal”. Accessed on “Date”. [Online] Available at https://e-redes.opendatasoft.com/pages/homepage/ If you share on social media, please add #PortalOpenData_E_REDES
Sozialversicherungspflichtig Beschäftigte am Ort der Arbeit in ausgewählten Berufen nach Altersgruppen

Sozialversicherungspflichtig Beschäftigte am Ort der Arbeit in ausgewählten Berufen nach Altersgruppen in Dortmund pro Jahr von 2013 - 2023. Stand jeweils 30.06. und 31.12. Bei dem Aggregat der "MINT-Berufe" sind Tätigkeiten einbezogen, die einen hohen Anteil an Kenntnissen aus den Bereichen Mathematik, Informatik, Naturwissenschaften und/oder Technik erfordern. Betrachtet wird hier also die ausgeübte Tätigkeit und nicht die Berufsausbildung. Enthalten sind alle Qualifizierungsebenen. Das Berufsaggregat der "Ingenieursberufe" umfasst Tätigkeiten, die für ausgebildete Ingenieure typisch sind. Betrachtet wird hier also die ausgeübte Tätigkeit und nicht die Berufsausbildung. Enthalten sind alle Qualifizierungsebenen. Altersgruppen von * bis unter 25 Jahre * 25 bis unter 35 Jahre * 35 bis unter 55 Jahre * 55 Jahre und älter
Sozialversicherungspflichtig Beschäftigte Berufsein- und Auspendler*innen

Sozialversicherungspflichtig Beschäftigte Berufsein- und Auspendler*innen in Dortmund pro Jahr von 2003 - 2023. Stand jeweils 30.06. Ab 2013 Ergebnisse der revidierten Beschäftigungsstatistik 2014. Die Werte weichen von denen früherer Veröffentlichungen ab.
Listing arrêtés

Ce jeu de données regroupe l'ensemble des arrêtés d'interdiction d'occupation actifs pris sur le territoire montois. Ce document permet à chaque citoyen, acteur du logement ou partenaire social, de suivre l’évolution des mesures mises en œuvre pour améliorer la qualité du parc immobilier montois à travers les actions de contrôle de la qualité des logements notamment. Cette publication s’inscrit dans la démarche d’ouverture des données publiques de la Ville visant à favoriser la clarté, la participation citoyenne et la compréhension des actions entreprises.
Estimation of Physical and Electrical Properties of Various REBCO Tapes for Construction of  Very-High-Field REBCO Magnet

[Lien vers la fiche source] This dataset supports the publication : Estimation of Physical and Electrical Properties of Various REBCO Tapes for Construction of Very-High-Field REBCO Magnet. The physical and electrical properties of four recent REBCO CC were assessed: 1) THEVA; 2) Shanghai Supercond. Technology; 3) Faraday Factory Japan; and 4) Fujikura. For estimating their physical properties, the delamination strength of each tape was checked by removing a polyimide ribbon sticked bon the tape and by cutting the tape after pre-tinning. Their windability and the uniformity of their thickness were also binvestigated through our metal-as-insulation winding process. For evaluating their electrical properties, their critical current was measured at 4.2 K under various external magnetic fields perpendicular to their ab-plane. Joint samples of each tape were fabricated and tested in a bath of liquid nitrogen at 77 K in self-field. The results are described in this paper for the four tapes.
Household Income and Consumption Expenditure Survey

This dataset presents a comprehensive overview of household and per-capita income and expenditure patterns in various demographic, geographic, and socioeconomic contexts. It encompasses three main categories: 1. Disposable Income 2. Consumption Expenditure 3. Final Monetary Consumption Expenditure Within each category, indicators detail averages, medians, and percentages across dimensions such as administrative region, nationality of the household head, age group, educational level, marital status, type of dwelling, type of ownership, household size, and income sources. The dataset thus enables in-depth analysis of how different factors influence income and expenditure. esearchers, policymakers, and analysts can employ these indicators to: * Understand how household and per-capita incomes vary by social and economic factors. * Examine consumption patterns and their drivers, including demographic variables. * Analyze the final monetary consumption expenditure in more detail using COICOP divisions for targeted economic and social policy insights. In doing so, users can identify disparities, assess living standards, and formulate data-driven strategies to address economic and social challenges at both the household and regional levels. Notes: For the first time the methodology for calculating household disposable income and consumption expenditure is used in Household Income and Consumption Expenditure Survey of 2023
Metal as Insulation REBCO Insert: Simplified Protection Scheme and Investigation of Cooling Defect under High Field Operation

[Lien vers la fiche source] This dataset supports the publication : Metal-as-Insulation REBCO Insert: Simplified Protection Scheme and Investigation of Cooling Defect Under High-Field Operation. A refurbished metal-as-insulation (MI) HTS insert comprised of DP coils with replaced inner joints was charged under various magnetic field (Bext) from 0 to 18 T at 4.2 K for testing. However, the refurbished insert could not be charged up to its maximum field, because the cryogenic condition tended to be unstable with a high helium boiling rate above 28 T. Therefore, to investigate the cooling issue, four Cernox sensors were installed in refurbished insert. The temperature of each position while powering the insert was measured under various Bext. In addition, we qualified a new simplified protection scheme without the usual detection and dump circuit during a quench at Bext = 9 T of the insert. Detailed experimental results about charging and quenching tests of the insert are presented and discussed in this paper.
Spiel- und Bolzplätze

Dieser Datensatz zeigt die Standorte der öffentlichen Spiel- und Bolzplätze in der Stadt Paderborn. Er dient dazu, einen Überblick über die Verteilung der Spiel- und Bolzplätze zu erhalten. Hinweis: Die Erfassung befindet sich im Ausbau. Neue Spiel- und Bolzplätze sowie aktualisierte Angaben zu Ausstattung oder Zustand werden nach und nach ergänzt.
Budget participatif - Ville de Rennes - Saison 5

Pour plus d'informations sur le Budget Participatif, vous pouvez suivre le lien suivant: [http://fabriquecitoyenne.rennes.fr/] Le Budget Participatif revient pour la saison 5! Dans le cadre de la charte de la démocratie locale, les Rennais ont déposé les projets pour la ville et les quartiers, portés par les habitants. Ce fichier recense chaque projet soumis lors de la saison 5 ainsi que le nombre de votes effectués via la plateforme numérique et via le vote "papier" pour chacun d'eux.