5 datasets found
  1. m

    PPP conversion factor, private consumption (LCU per international $) -...

    • macro-rankings.com
    csv, excel
    Updated Sep 12, 2025
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    macro-rankings (2025). PPP conversion factor, private consumption (LCU per international $) - Egypt, Arab Rep. [Dataset]. https://www.macro-rankings.com/egypt/ppp-conversion-factor-private-consumption-(lcu-per-international-$)
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Sep 12, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Egypt
    Description

    Time series data for the statistic PPP conversion factor, private consumption (LCU per international $) and country Egypt, Arab Rep.. Indicator Definition:Purchasing power parity (PPP) conversion factor is a spatial price deflator and currency converter that controls for price level differences between countries, thereby allowing volume comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for household final consumption expenditure.The indicator "PPP conversion factor, private consumption (LCU per international $)" stands at 6.95 usd as of 12/31/2024, the highest value at least since 12/31/1991, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 24.60 percent compared to the value the year prior.The 1 year change in percent is 24.60.The 3 year change in percent is 68.96.The 5 year change in percent is 74.82.The 10 year change in percent is 222.12.The Serie's long term average value is 1.96 usd. It's latest available value, on 12/31/2024, is 254.33 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1990, to it's latest available value, on 12/31/2024, is +1,253.72%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.

  2. M

    TEAMER: Numerical Modeling of WECs to Support OES Task 10

    • mhkdr.openei.org
    • data.openei.org
    • +1more
    Updated Sep 23, 2024
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    Brek Meuris; Chris Chartrand; Morten Kramer; Brek Meuris; Chris Chartrand; Morten Kramer (2024). TEAMER: Numerical Modeling of WECs to Support OES Task 10 [Dataset]. https://mhkdr.openei.org/submissions/597
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    Dataset updated
    Sep 23, 2024
    Dataset provided by
    Marine and Hydrokinetic Data Repository
    USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office (EE-4WP)
    Sandia National Laboratories
    Authors
    Brek Meuris; Chris Chartrand; Morten Kramer; Brek Meuris; Chris Chartrand; Morten Kramer
    License

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

    Description

    This submission contains the files for reproducing the waves only and sphere test article simulations for the experimental setup (three different wave conditions) associated with the Teamer Request for Technical Support 9 (RFTS 9) fluid dynamics simulations to support the Ocean Energy Systems Energy Technology Collaboration Program (OES) Task 10 Wave Energy Converters Modeling Verification and Validation effort.

    • The 'data' directory contains the experimental validation data, the paddle input signal data, and representative output data from the OpenFOAM simulations.
    • The 'images' directory contains images of representative results for the three test cases, and were generated using the python .py files located in the main directory.
    • The 'openFoamCaseFiles' directory contains cleaned OpenFOAM case files for the three test conditions.

    Refer to additional README files contained within the directories for additional details.

    This project is part of the TEAMER RFTS 9 (request for technical support) program: Numerical Modeling of WECs to support OES task 10.

  3. v

    Automotive Torque Converter Market Size, Share & Growth Report, 2033

    • valuemarketresearch.com
    Updated Jan 24, 2024
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    Value Market Research (2024). Automotive Torque Converter Market Size, Share & Growth Report, 2033 [Dataset]. https://www.valuemarketresearch.com/report/automotive-torque-converter-market
    Explore at:
    electronic (pdf), ms excelAvailable download formats
    Dataset updated
    Jan 24, 2024
    Dataset authored and provided by
    Value Market Research
    License

    https://www.valuemarketresearch.com/privacy-policyhttps://www.valuemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Description

    The forecast for the global Automotive Torque Converter market predicts substantial growth, with market size projected to soar to USD 17.97 Billion by 2033, a significant increase from the USD 12.13 Billion recorded in 2024. This expansion reflects an impressive compound annual growth rate (CAGR) of 4.46% anticipated between 2025 and 2033.

    The Global Automotive Torque Converter market size to cro

  4. a

    Lead Conversion Increase with Fast Response Time

    • advids.co
    Updated Sep 30, 2025
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    Orko Roy (2025). Lead Conversion Increase with Fast Response Time [Dataset]. https://advids.co/insights/the-2025-b2b-buyer-unlocking-real-time-engagement-data-with-ai-powered-video
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    Dataset updated
    Sep 30, 2025
    Authors
    Orko Roy
    License

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

    Variables measured
    Lead Conversion Increase with Fast Response Time
    Description

    Leads are nine times more likely to convert when a sales representative makes contact within the first five minutes of an intent signal.

  5. e

    Beverage carton converting; Converting; converting mix, at plant; beverage...

    • data.europa.eu
    zip
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    Joint Research Centre, Beverage carton converting; Converting; converting mix, at plant; beverage carton (Location: EU-27) [Dataset]. https://data.europa.eu/data/datasets/jrc-eplca-6118e7c9-98ce-46f9-a3df-95cc3f8f8b2e?locale=cs
    Explore at:
    zipAvailable download formats
    Dataset authored and provided by
    Joint Research Centre
    License

    http://eplca.jrc.ec.europa.eu/ELCD3/templates/default/html/datasetLicense.htmlhttp://eplca.jrc.ec.europa.eu/ELCD3/templates/default/html/datasetLicense.html

    Area covered
    European Union
    Description

    The manufacture of transport packaging materials, such as typically cardboard or shrink foil required for delivery to the filler is excluded in the LCI dataset presented here. It should be noted that it might be appropriate to consider the production of these materials when conducting a LCA study on beverage cartons. It is recommended to contact ACE regarding the question if this LCI dataset on converting is applicable in a specific study context. It is recommended to contact the beverage carton producer regarding detailed material composition of the beverage carton under examination. Note: VOC emissions from process depend on the printing technology applied and could considerably differ from the average value given here for a specific site or beverage carton product. Note: Air emissions from on-site fuel use for a specific site depend on the actually applied flue gas cleaning technology. This technology could be different from the average technology underlying this dataset in case of a particular site or in a regional context with a particular legal framework. Area of beverage cartons have to be calculated into mass of raw materials needed by the user. (advice can be requested at ACE). This parameterised data set is a gate-to gate data set that lists the inputs and outputs directly connected to the converting of LDPE granulate, liquid packaging board and aluminium foil to beverage carton. Beverage Cartons vary widely in composition depending on filled product and required functionality. There is therefore no one average carton or carton composition. The converting process is however broadly similar for all cartons and the representative parameterised process is designed to allow users to enter the appropriate package specification i.e. how much liquid packaging board, aluminium foil and plastic resin is used in the particular package under study, as well as specify the appropiate electricity supply for the converting factory location. For guidance a typical one litre aseptic carton for milk might for example comprise 78.5% board, 16.5% PE and 5% aluminum foil; while a typcial one litre chilled carton could be 82.5% liquid packaging board and 17.5% LDPE. For more specific guidance on package specification please contact ACE or the specific package material provider. This data set is intended for the use by LCA practitioners

    Technical Purpose: Beverage Cartons are used for the packaging of non-carbonated softdrinks, milk and other liquid dairy products and non-carbonated water.

    Geographical Representation: EU-27

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
macro-rankings (2025). PPP conversion factor, private consumption (LCU per international $) - Egypt, Arab Rep. [Dataset]. https://www.macro-rankings.com/egypt/ppp-conversion-factor-private-consumption-(lcu-per-international-$)

PPP conversion factor, private consumption (LCU per international $) - Egypt, Arab Rep.

PPP conversion factor, private consumption (LCU per international $) - Egypt, Arab Rep. - Historical Dataset (12/31/1990/12/31/2024)

Explore at:
excel, csvAvailable download formats
Dataset updated
Sep 12, 2025
Dataset authored and provided by
macro-rankings
License

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

Area covered
Egypt
Description

Time series data for the statistic PPP conversion factor, private consumption (LCU per international $) and country Egypt, Arab Rep.. Indicator Definition:Purchasing power parity (PPP) conversion factor is a spatial price deflator and currency converter that controls for price level differences between countries, thereby allowing volume comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for household final consumption expenditure.The indicator "PPP conversion factor, private consumption (LCU per international $)" stands at 6.95 usd as of 12/31/2024, the highest value at least since 12/31/1991, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 24.60 percent compared to the value the year prior.The 1 year change in percent is 24.60.The 3 year change in percent is 68.96.The 5 year change in percent is 74.82.The 10 year change in percent is 222.12.The Serie's long term average value is 1.96 usd. It's latest available value, on 12/31/2024, is 254.33 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1990, to it's latest available value, on 12/31/2024, is +1,253.72%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.

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