11 datasets found
  1. c

    Smart Energy Research Lab: Statistical Data, 2020-2023: Safeguarded Access

    • datacatalogue.cessda.eu
    Updated Nov 29, 2024
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    Elam, S.; Few, J.; McKenna, E.; Hanmer, C.; Pullinger, M.; Zapata-Webborn, E.; Oreszczyn, T.; Anderson, B.; Department for Levelling Up; European Centre for Medium-Range Weather Forecasts; Royal Mail Group Limited (2024). Smart Energy Research Lab: Statistical Data, 2020-2023: Safeguarded Access [Dataset]. http://doi.org/10.5255/UKDA-SN-8963-2
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    UCL
    Housing and Communities
    University of Southampton
    Authors
    Elam, S.; Few, J.; McKenna, E.; Hanmer, C.; Pullinger, M.; Zapata-Webborn, E.; Oreszczyn, T.; Anderson, B.; Department for Levelling Up; European Centre for Medium-Range Weather Forecasts; Royal Mail Group Limited
    Time period covered
    Aug 1, 2019 - Dec 31, 2023
    Area covered
    Great Britain
    Variables measured
    Families/households, National
    Measurement technique
    Physical measurements and tests, Self-administered questionnaire
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The Smart Energy Research Lab (SERL) Observatory facilitates a broad range of energy demand research and is a unique data resource for research where access to high resolution, large scale energy data linked to relevant contextual data is required. Further information about SERL can be found on the Smart Energy Research Lab website.

    This dataset of aggregated statistics is available under standard Safeguarded (End User Licence) access conditions. It contains over 2.5 million rows of data and describes domestic gas and electricity energy use in Great Britain 2020-2023 based on data from the Smart Energy Research Lab (SERL) Observatory, which consists of smart meter and contextual data from approximately 13,000 homes that are broadly representative of the GB population in terms of region and Index of Multiple Deprivation (IMD) quintile. This aggregated dataset can be used, for example, to show how residential energy use in GB varies over time (monthly over the year and half-hourly over the course of the day); and can be broken down by occupant characteristics (number of occupants, tenure), property characteristics (age, size, form, and Energy Performance Certificate (EPC)), by type of heating system, presence of solar panels and of electric vehicles, and by weather, region and IMD quintile.

    Secure Access data
    A more detailed set of SERL data, including smart meter data and additional contextual data, is available under restricted Secure access conditions under SN 8666: Smart Energy Research Lab Observatory Data: Secure Access. It is a longitudinal dataset containing records from August 2019, with updates provided to researchers on a (roughly) quarterly basis. Users should download this safeguarded access statistical study first to see whether it is suitable for their needs before considering an application for the Secure dataset.

    The second edition (May 2024) includes summaries of daily average energy use in a data file for 2020-2023, and summaries of half-hourly average energy use in four data files for 2020-2023, as well as an accompanying technical document.


    Main Topics:

    Energy (electricity and gas) consumption in households across Great Britain.

  2. Smart Energy Research Lab: Statistical Data, 2020-2023: Safeguarded Access

    • beta.ukdataservice.ac.uk
    Updated 2024
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    Smart Energy Research Lab: Statistical Data, 2020-2023: Safeguarded Access [Dataset]. https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8963#!/documentation
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    Dataset updated
    2024
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    S. Elam; J. Few; E. McKenna; C. Hanmer; M. Pullinger; E. Zapata-Webborn; T. Oreszczyn; B. Anderson; Housing Department For Levelling Up; Royal Mail Group Limited
    Description

    The Smart Energy Research Lab (SERL) Observatory facilitates a broad range of energy demand research and is a unique data resource for research where access to high resolution, large scale energy data linked to relevant contextual data is required. Further information about SERL can be found on the Smart Energy Research Lab website.

    This dataset of aggregated statistics is available under standard Safeguarded (End User Licence) access conditions. It contains over 2.5 million rows of data and describes domestic gas and electricity energy use in Great Britain 2020-2023 based on data from the Smart Energy Research Lab (SERL) Observatory, which consists of smart meter and contextual data from approximately 13,000 homes that are broadly representative of the GB population in terms of region and Index of Multiple Deprivation (IMD) quintile. This aggregated dataset can be used, for example, to show how residential energy use in GB varies over time (monthly over the year and half-hourly over the course of the day); and can be broken down by occupant characteristics (number of occupants, tenure), property characteristics (age, size, form, and Energy Performance Certificate (EPC)), by type of heating system, presence of solar panels and of electric vehicles, and by weather, region and IMD quintile.

    Secure Access data
    A more detailed set of SERL data, including smart meter data and additional contextual data, is available under restricted Secure access conditions under SN 8666: Smart Energy Research Lab Observatory Data: Secure Access. It is a longitudinal dataset containing records from August 2019, with updates provided to researchers on a (roughly) quarterly basis. Users should download this safeguarded access statistical study first to see whether it is suitable for their needs before considering an application for the Secure dataset.

    The second edition (May 2024) includes summaries of daily average energy use in a data file for 2020-2023, and summaries of half-hourly average energy use in four data files for 2020-2023, as well as an accompanying technical document.

  3. c

    Smart Energy Research Lab Observatory Data, 2019-2024: Secure Access

    • datacatalogue.cessda.eu
    Updated Nov 29, 2024
    + more versions
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    Elam, S.; Few, J.; McKenna, E.; Hanmer, C.; Pullinger, M.; Zapata-Webborn, E.; Oreszczyn, T.; Anderson, B.; Department for Levelling Up; European Centre for Medium-Range Weather Forecasts; Royal Mail Group Limited (2024). Smart Energy Research Lab Observatory Data, 2019-2024: Secure Access [Dataset]. http://doi.org/10.5255/UKDA-SN-8666-8
    Explore at:
    Dataset updated
    Nov 29, 2024
    Dataset provided by
    UCL
    Housing and Communities
    University of Southampton
    Authors
    Elam, S.; Few, J.; McKenna, E.; Hanmer, C.; Pullinger, M.; Zapata-Webborn, E.; Oreszczyn, T.; Anderson, B.; Department for Levelling Up; European Centre for Medium-Range Weather Forecasts; Royal Mail Group Limited
    Time period covered
    Aug 13, 2019 - Jun 30, 2024
    Area covered
    Great Britain
    Variables measured
    Families/households, National
    Measurement technique
    Self-administered questionnaire, Measurements and tests
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The Smart Energy Research Lab (SERL) delivers a unique energy data resource to the UK research community that enables a broad range of multi-disciplinary, socio-technical research relating to energy consumption in domestic buildings.

    The SERL Observatory is transforming Great Britain's energy research through the long-term provision of high quality, high-resolution energy data that provides a reliable evidence base for intervention, observational and longitudinal studies across the socio-technical spectrum.

    The goals of the Smart Energy Research Lab are to provide:

    • A trusted data resource for researchers to utilise large-scale, high-resolution energy data
    • An effective mechanism for collecting and linking energy data with other contextual data
    • High quality data management to ensure fit-for-purpose data are provisioned to researchers

    Participant recruitment began in August 2019. Approximately 1,700 participants were recruited from central and southern England and from Wales as part of a pilot study that tested different recruitment strategies. The second recruitment wave took place in August-September 2020, and the third wave at the start of 2021. SERL recruited over 13,000 households which are regionally representative across England, Scotland and Wales. Recruitment is also designed to be representative of each Index of Multiple Deprivation (IMD) quintile; an area-based relative measure of deprivation.

    For the latest edition (released in May 2024), all SERL data up to and including 31st December 2023 were made available. Users should note that this is the 6th edition of SERL data that has been released, though the citation may refer to the 7th edition.

    All code provided with the data is now managed on the SERL GitHub website.

    Smart meter data:

    • Daily and half-hourly energy (electricity and gas) consumption data
    • Tariff data
    • Additional smart meter technical data

    Contextual data:

    • SERL survey (initial) completed by participant households on sign-up providing data on household information and building characteristics.
    • Energy Performance Certificate (EPC) data
    • Weather data
    • SERL Covid-19 survey: sent to wave 1 participants in May 2020 to understand their circumstances during the first lockdown
    • SERL survey (Follow-up 2023): sent to all active participants in early 2023 to investigate the impact of rapidly rising energy costs in 2022/2023

    SERL data will be updated and made available to researchers on a quarterly basis. SERL is an evolving data resource and thus new editions of the data might include:

    • additional records – more smart meter data, since the previous edition
    • additional participants – more participants recruited since the previous release
    • additional variables – where new variables become available to SERL

    Further information about SERL can be found on serl.ac.uk and in the associated documentation. The 'Key Documents' section of the SERL website, which links to all publications that use SERL data, can be found at serl.ac.uk/key-documents. If you do not see your SERL-data publication listed, please contact the SERL team via info@serl.ac.uk.

    For the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5 data users should note that neither the European Commission nor the European Centre for Medium-Range Weather Forecasts will be held responsible for any use that may be made of the Copernicus information or data it contains. The Energy Performance of Buildings Data is also included and users must read and abide by the Copyright Information Notice, provided by the Department for Levelling Up, Housing and Communities, that covers the use of Royal Mail information and non-address data provided under the Open Government Licence v3.0.

    For the latest edition (released in November 2024), all SERL smart meter and climate data have been updated to June 2024. Users should note that this is the 7th edition of SERL data that has been released, though the citation may refer to the 8th edition.


    Main Topics:

    The SERL Observatory panel provides data primarily relating to energy demand and consumption in domestic buildings in Great Britain.

  4. s

    Smart Energy Research Lab Observatory Data, 2019-2021: Secure Access...

    • eprints.soton.ac.uk
    Updated Oct 15, 2021
    + more versions
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    Smart Energy Research Lab Observatory Data, 2019-2021: Secure Access (Edition 4) [Dataset]. https://eprints.soton.ac.uk/454922/
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    Dataset updated
    Oct 15, 2021
    Dataset provided by
    University College London
    Authors
    Elam, Simon; Webborn, Ellen; McKenna, Eoghan; Oreszczyn, Tadj; Anderson, Benjamin; Few, Jessica; Pullinger, M.
    Description

    The vision of the Smart Energy Research Lab (SERL) is to deliver a unique data resource harnessing the benefits of smart meter data for research. The portal will transform Great Britain's energy research through the long-term provision of high quality, high-resolution energy data that will support the development of a reliable evidence base for intervention, observational and longitudinal studies across the socio-technical spectrum. The goals of the Smart Energy Research Lab are to provide: A trusted data resource for researchers to utilise large-scale, high-resolution energy data An effective mechanism for collecting and linking energy data with other contextual data High quality data management to ensure fit-for-purpose data are provisioned to researchers Participant recruitment began in August 2019. Approximately 1,700 participants were recruited from central and southern England and from Wales as part of a pilot study that tested different recruitment strategies. The second recruitment wave took place in August-September 2020, and the third wave at the start of 2021. SERL aims to recruit around 10,000 households to be regionally representative across England, Scotland and Wales. Recruitment is also designed to be representative of each Index of Multiple Deprivation (IMD) quintile; an area-based relative measure of deprivation. For the latest (4th) edition (October 2021) all SERL data up to and including 31 May 2021, which includes participant households recruited in Waves 1, 2 and 3, were made available.

  5. h

    hil-serl-push-circle-test3

    • huggingface.co
    Updated Dec 22, 2024
    + more versions
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    Eugene Mironov (2024). hil-serl-push-circle-test3 [Dataset]. https://huggingface.co/datasets/helper2424/hil-serl-push-circle-test3
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 22, 2024
    Authors
    Eugene Mironov
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset was created using LeRobot.

      Dataset Structure
    

    meta/info.json: { "codebase_version": "v2.0", "robot_type": "koch", "total_episodes": 2, "total_frames": 1192, "total_tasks": 1, "total_videos": 4, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:2" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":… See the full description on the dataset page: https://huggingface.co/datasets/helper2424/hil-serl-push-circle-test3.

  6. Serl-Computer-Research (Company) - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, Serl-Computer-Research (Company) - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/company/Serl-Computer-Research
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    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Mar 23, 2025
    Description

    Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Serl-Computer-Research.

  7. SERL/KEPCO – Egbin Gas-fired Power Plant Expansion 1350 MW – Nigeria

    • store.globaldata.com
    Updated Jun 9, 2017
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    GlobalData UK Ltd. (2017). SERL/KEPCO – Egbin Gas-fired Power Plant Expansion 1350 MW – Nigeria [Dataset]. https://store.globaldata.com/report/serl-kepco-egbin-gas-fired-power-plant-expansion-1350-mw-nigeria-2/
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    Dataset updated
    Jun 9, 2017
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2017 - 2021
    Area covered
    Nigeria, Middle East and Africa
    Description

    Sahara Energy Resource Ltd (SERL) and Korea Electric Power Company of Nigeria (KEPCO) are undertaking the expansion of the existing Egbin Thermal Power Plant in Nigeria.The project involves the construction of a three units of 450MW combined cycle gas-turbine power plant. It will include the construction of a substation, gas storage facility, combustion chambers and chimneys, the installation of gas turbines, generators, transformers and safety systems, and the laying of transmission lines. In November 2015, construction works commenced on the project and is underway. The project is expected to be completed by 2019. Read More

  8. Katmandu Serl Company profile with phone,email, buyers, suppliers, price,...

    • volza.com
    csv
    Updated Mar 24, 2025
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    Volza FZ LLC (2025). Katmandu Serl Company profile with phone,email, buyers, suppliers, price, export import shipments. [Dataset]. https://www.volza.com/company-profile/katmandu-serl-19741375/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 24, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2014 - Sep 30, 2021
    Variables measured
    Count of exporters, Count of importers, Sum of export value, Sum of import value, Count of export shipments, Count of import shipments
    Description

    Credit report of Katmandu Serl contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

  9. Projet d'aménagement du quartier de la Sauvegarde à Lyon - SERL - La...

    • gbif.org
    Updated Mar 8, 2023
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    Inventaire National du Patrimoine Naturel; Inventaire National du Patrimoine Naturel (2023). Projet d'aménagement du quartier de la Sauvegarde à Lyon - SERL - La Sauvegarde - mammifères [Dataset]. http://doi.org/10.15468/tesb2k
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    Dataset updated
    Mar 8, 2023
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    UMS PatriNat (OFB-CNRS-MNHN), Paris
    Authors
    Inventaire National du Patrimoine Naturel; Inventaire National du Patrimoine Naturel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 18, 2021 - Sep 21, 2021
    Area covered
    Description

    Données mammifères récoltées dans le cadre du diagnostic écologique du site.

  10. Projet d'aménagement du quartier de la Sauvegarde à Lyon - SERL - La...

    • gbif.org
    Updated Mar 15, 2023
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    Inventaire National du Patrimoine Naturel; Inventaire National du Patrimoine Naturel (2023). Projet d'aménagement du quartier de la Sauvegarde à Lyon - SERL - La Sauvegarde - reptiles [Dataset]. http://doi.org/10.15468/cwwf6a
    Explore at:
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    UMS PatriNat (OFB-CNRS-MNHN), Paris
    Authors
    Inventaire National du Patrimoine Naturel; Inventaire National du Patrimoine Naturel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 18, 2021 - Jun 8, 2021
    Area covered
    Description

    Données reptiles récoltées dans le cadre du diagnostic écologique du site.

  11. g

    Projet d'aménagement du quartier de la Sauvegarde à Lyon - SERL - La...

    • gbif.org
    Updated Mar 8, 2023
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    Inventaire National du Patrimoine Naturel; Inventaire National du Patrimoine Naturel (2023). Projet d'aménagement du quartier de la Sauvegarde à Lyon - SERL - La Sauvegarde - flore [Dataset]. http://doi.org/10.15468/7fsgfc
    Explore at:
    Dataset updated
    Mar 8, 2023
    Dataset provided by
    UMS PatriNat (OFB-CNRS-MNHN), Paris
    GBIF
    Authors
    Inventaire National du Patrimoine Naturel; Inventaire National du Patrimoine Naturel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 25, 2020 - Jun 9, 2021
    Area covered
    Description

    Données flore récoltées dans le cadre du diagnostic écologique du site.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Elam, S.; Few, J.; McKenna, E.; Hanmer, C.; Pullinger, M.; Zapata-Webborn, E.; Oreszczyn, T.; Anderson, B.; Department for Levelling Up; European Centre for Medium-Range Weather Forecasts; Royal Mail Group Limited (2024). Smart Energy Research Lab: Statistical Data, 2020-2023: Safeguarded Access [Dataset]. http://doi.org/10.5255/UKDA-SN-8963-2

Smart Energy Research Lab: Statistical Data, 2020-2023: Safeguarded Access

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 29, 2024
Dataset provided by
UCL
Housing and Communities
University of Southampton
Authors
Elam, S.; Few, J.; McKenna, E.; Hanmer, C.; Pullinger, M.; Zapata-Webborn, E.; Oreszczyn, T.; Anderson, B.; Department for Levelling Up; European Centre for Medium-Range Weather Forecasts; Royal Mail Group Limited
Time period covered
Aug 1, 2019 - Dec 31, 2023
Area covered
Great Britain
Variables measured
Families/households, National
Measurement technique
Physical measurements and tests, Self-administered questionnaire
Description

Abstract copyright UK Data Service and data collection copyright owner.


The Smart Energy Research Lab (SERL) Observatory facilitates a broad range of energy demand research and is a unique data resource for research where access to high resolution, large scale energy data linked to relevant contextual data is required. Further information about SERL can be found on the Smart Energy Research Lab website.

This dataset of aggregated statistics is available under standard Safeguarded (End User Licence) access conditions. It contains over 2.5 million rows of data and describes domestic gas and electricity energy use in Great Britain 2020-2023 based on data from the Smart Energy Research Lab (SERL) Observatory, which consists of smart meter and contextual data from approximately 13,000 homes that are broadly representative of the GB population in terms of region and Index of Multiple Deprivation (IMD) quintile. This aggregated dataset can be used, for example, to show how residential energy use in GB varies over time (monthly over the year and half-hourly over the course of the day); and can be broken down by occupant characteristics (number of occupants, tenure), property characteristics (age, size, form, and Energy Performance Certificate (EPC)), by type of heating system, presence of solar panels and of electric vehicles, and by weather, region and IMD quintile.

Secure Access data
A more detailed set of SERL data, including smart meter data and additional contextual data, is available under restricted Secure access conditions under SN 8666: Smart Energy Research Lab Observatory Data: Secure Access. It is a longitudinal dataset containing records from August 2019, with updates provided to researchers on a (roughly) quarterly basis. Users should download this safeguarded access statistical study first to see whether it is suitable for their needs before considering an application for the Secure dataset.

The second edition (May 2024) includes summaries of daily average energy use in a data file for 2020-2023, and summaries of half-hourly average energy use in four data files for 2020-2023, as well as an accompanying technical document.


Main Topics:

Energy (electricity and gas) consumption in households across Great Britain.

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