10 datasets found
  1. S1 Data -

    • plos.figshare.com
    bin
    Updated Mar 13, 2024
    + more versions
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    Moataz Elmassri; Tariq Z. Elrazaz; Yousry Ahmed (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0299717.s002
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    binAvailable download formats
    Dataset updated
    Mar 13, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Moataz Elmassri; Tariq Z. Elrazaz; Yousry Ahmed
    License

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

    Description

    Following a long stream of literature on the drivers of Mergers and Acquisition (M&A) activities, this study examines the effect of corporate leverage on several decisions of M&A deals in the context of the United Arab Emirates (UAE). Using M&A data from the Thomson One database for the period between 2005 and 2022, we find that corporate leverage significantly influences the type of M&A target. This study further adds to the prior literature on the contradictory behaviours of high and low leverage firms by examining whether acquisition decisions differ amongst them in M&A deals in the UAE context. Results indicate that high (low) leverage firms are less (more) likely to acquire private targets and more (less) inclined to acquire a target from a different (same) industry. Furthermore, our results show that the relationship between the method of payment used in M&A deals and corporate leverage is insignificant. We control for endogeneity using Heckman’s two-stage method. In brief, this paper extends the literature with conclusive evidence that considerations of capital structure can significantly anticipate and explain firms’ behaviour toward M&A choices. The implication of findings may include a call to reform some aspects of the Competition Law in the UAE by requiring private firms to enhance their disclosure practices similar to their public counterparts.

  2. n

    Fisheries investigations in streams crossed by the proposed Point Thomson...

    • catalog.northslopescience.org
    Updated Feb 23, 2016
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    (2016). Fisheries investigations in streams crossed by the proposed Point Thomson Gas Recycling Project - Datasets - North Slope Science Catalog [Dataset]. https://catalog.northslopescience.org/dataset/392
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    Dataset updated
    Feb 23, 2016
    Area covered
    Point Thomson
    Description

    Fish surveys in streams crossed by the Point Thomson Gas Cycling Project were sampled to provide fish and water quality data. Data were collected over two summer seasons. Morris, W.A, and J. F. Winters. 2004.Fisheries investigations in streams crossed by the proposed Point Thomson Gas Recycling Project. Alaska Department of Natural Resources Tech. Rept. 04-03. Office of Habitat Management and Permitting. Juneau. 26 pp.

  3. Big Thompson Power Plant Monthly End of Month Flow-cfs Timeseries Data

    • data.usbr.gov
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    United States Bureau of Reclamation, Big Thompson Power Plant Monthly End of Month Flow-cfs Timeseries Data [Dataset]. https://data.usbr.gov/catalog/4111/item/4885
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    Dataset authored and provided by
    United States Bureau of Reclamationhttp://www.usbr.gov/
    Time period covered
    Mar 1, 1959 - Sep 1, 2025
    Area covered
    Variables measured
    End of Month Flow
    Description

    Values per Facilities, Instructions, Standards, and Techniques (FIST) Vol 1 - 2. Note: Data are reported at a monthly time step. Although values are dated as the first of each month, they represent the end of month value for that month (e.g. value dated April 1 is the April end of month total/sum). https://www.usbr.gov/power/data/fist_pub.html

  4. O

    Online Professional Tax Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 9, 2025
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    Data Insights Market (2025). Online Professional Tax Software Report [Dataset]. https://www.datainsightsmarket.com/reports/online-professional-tax-software-1427924
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming online professional tax software market! This comprehensive analysis reveals key trends, growth drivers, leading companies (Avalara, Intuit, Thomson Reuters, etc.), and market forecasts through 2033. Learn about market segmentation, regional variations, and future opportunities in this rapidly evolving sector.

  5. I/B/E/S Estimates | Company Data

    • lseg.com
    Updated Jun 2, 2025
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    LSEG (2025). I/B/E/S Estimates | Company Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/company-data/ibes-estimates
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    csv,html,json,pdf,python,sql,text,user interface,xmlAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Browse LSEG's I/B/E/S Estimates, discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.

  6. U

    US Compliance Training Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Aug 10, 2025
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    Market Report Analytics (2025). US Compliance Training Market Report [Dataset]. https://www.marketreportanalytics.com/reports/us-compliance-training-market-4496
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Aug 10, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The US Compliance Training Market is booming, projected to reach [estimated value] by 2033 with a CAGR of 16.82%. This in-depth analysis explores market drivers, trends, key players (e.g., Thomson Reuters, NAVEX Global), and regional breakdowns, offering insights for businesses and investors. Learn about online vs. offline training and the future of compliance education.

  7. L

    Law Firm Marketing Service Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 30, 2025
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    Data Insights Market (2025). Law Firm Marketing Service Report [Dataset]. https://www.datainsightsmarket.com/reports/law-firm-marketing-service-500070
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming Law Firm Marketing Services market! This comprehensive analysis reveals key trends, drivers, and restraints impacting growth from 2019-2033. Explore market segmentation, leading companies, and regional insights to optimize your legal marketing strategy. Learn about the rise of online marketing and its impact on the future of legal services.

  8. w

    Global Financial Institution Compliance Training Market Research Report: By...

    • wiseguyreports.com
    Updated Oct 15, 2025
    + more versions
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    (2025). Global Financial Institution Compliance Training Market Research Report: By Training Type (Online Training, In-Person Training, Blended Training, Webinars), By Compliance Area (Anti-Money Laundering, Data Protection, Fraud Prevention, Risk Management), By End User (Banks, Insurance Companies, Investment Firms, Credit Unions), By Content Delivery Method (Interactive Modules, Video Tutorials, Text-Based Resources, Simulations) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/financial-institution-compliance-training-market
    Explore at:
    Dataset updated
    Oct 15, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Oct 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20245.64(USD Billion)
    MARKET SIZE 20256.04(USD Billion)
    MARKET SIZE 203512.0(USD Billion)
    SEGMENTS COVEREDTraining Type, Compliance Area, End User, Content Delivery Method, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSregulatory compliance requirements, increasing cybersecurity threats, demand for flexible training solutions, focus on employee engagement, integration of technology in training
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDLexisNexis, Default Risk Savvy, Bloomberg, Thomson Reuters, Wolters Kluwer, SAS, Compliance Week, TRAINING CIRCLE, Skillsoft, IBM, Advisory Board, Navex Global, Oracle
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESRegulatory changes driving demand, Integration of technology in training, Growing focus on anti-money laundering, Enhanced training for remote workforce, Rising penalties for non-compliance
    COMPOUND ANNUAL GROWTH RATE (CAGR) 7.1% (2025 - 2035)
  9. Descriptive statistics.

    • plos.figshare.com
    xls
    Updated Mar 13, 2024
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    Moataz Elmassri; Tariq Z. Elrazaz; Yousry Ahmed (2024). Descriptive statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0299717.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 13, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Moataz Elmassri; Tariq Z. Elrazaz; Yousry Ahmed
    License

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

    Description

    Following a long stream of literature on the drivers of Mergers and Acquisition (M&A) activities, this study examines the effect of corporate leverage on several decisions of M&A deals in the context of the United Arab Emirates (UAE). Using M&A data from the Thomson One database for the period between 2005 and 2022, we find that corporate leverage significantly influences the type of M&A target. This study further adds to the prior literature on the contradictory behaviours of high and low leverage firms by examining whether acquisition decisions differ amongst them in M&A deals in the UAE context. Results indicate that high (low) leverage firms are less (more) likely to acquire private targets and more (less) inclined to acquire a target from a different (same) industry. Furthermore, our results show that the relationship between the method of payment used in M&A deals and corporate leverage is insignificant. We control for endogeneity using Heckman’s two-stage method. In brief, this paper extends the literature with conclusive evidence that considerations of capital structure can significantly anticipate and explain firms’ behaviour toward M&A choices. The implication of findings may include a call to reform some aspects of the Competition Law in the UAE by requiring private firms to enhance their disclosure practices similar to their public counterparts.

  10. Heckman model to address self-selection bias.

    • plos.figshare.com
    xls
    Updated Mar 13, 2024
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    Moataz Elmassri; Tariq Z. Elrazaz; Yousry Ahmed (2024). Heckman model to address self-selection bias. [Dataset]. http://doi.org/10.1371/journal.pone.0299717.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 13, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Moataz Elmassri; Tariq Z. Elrazaz; Yousry Ahmed
    License

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

    Description

    Following a long stream of literature on the drivers of Mergers and Acquisition (M&A) activities, this study examines the effect of corporate leverage on several decisions of M&A deals in the context of the United Arab Emirates (UAE). Using M&A data from the Thomson One database for the period between 2005 and 2022, we find that corporate leverage significantly influences the type of M&A target. This study further adds to the prior literature on the contradictory behaviours of high and low leverage firms by examining whether acquisition decisions differ amongst them in M&A deals in the UAE context. Results indicate that high (low) leverage firms are less (more) likely to acquire private targets and more (less) inclined to acquire a target from a different (same) industry. Furthermore, our results show that the relationship between the method of payment used in M&A deals and corporate leverage is insignificant. We control for endogeneity using Heckman’s two-stage method. In brief, this paper extends the literature with conclusive evidence that considerations of capital structure can significantly anticipate and explain firms’ behaviour toward M&A choices. The implication of findings may include a call to reform some aspects of the Competition Law in the UAE by requiring private firms to enhance their disclosure practices similar to their public counterparts.

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    Learn how you can add new datasets to our index.

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Moataz Elmassri; Tariq Z. Elrazaz; Yousry Ahmed (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0299717.s002
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S1 Data -

Related Article
Explore at:
binAvailable download formats
Dataset updated
Mar 13, 2024
Dataset provided by
PLOShttp://plos.org/
Authors
Moataz Elmassri; Tariq Z. Elrazaz; Yousry Ahmed
License

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

Description

Following a long stream of literature on the drivers of Mergers and Acquisition (M&A) activities, this study examines the effect of corporate leverage on several decisions of M&A deals in the context of the United Arab Emirates (UAE). Using M&A data from the Thomson One database for the period between 2005 and 2022, we find that corporate leverage significantly influences the type of M&A target. This study further adds to the prior literature on the contradictory behaviours of high and low leverage firms by examining whether acquisition decisions differ amongst them in M&A deals in the UAE context. Results indicate that high (low) leverage firms are less (more) likely to acquire private targets and more (less) inclined to acquire a target from a different (same) industry. Furthermore, our results show that the relationship between the method of payment used in M&A deals and corporate leverage is insignificant. We control for endogeneity using Heckman’s two-stage method. In brief, this paper extends the literature with conclusive evidence that considerations of capital structure can significantly anticipate and explain firms’ behaviour toward M&A choices. The implication of findings may include a call to reform some aspects of the Competition Law in the UAE by requiring private firms to enhance their disclosure practices similar to their public counterparts.

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