19 datasets found
  1. r

    Thomson Reuters Biology Browser

    • rrid.site
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    Thomson Reuters Biology Browser [Dataset]. http://identifiers.org/RRID:SCR_002040/resolver?q=*&i=rrid
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    Description

    THIS RESOURCE IS NO LONGER IN SERVICE. Documented April 7, 2018.Online portal and searchable database with resources for the greater scientific community such as zoological records, nomenclature guides, and relevant scientific news stories and websites.

  2. Excluding the financial crisis effect.

    • plos.figshare.com
    xls
    Updated Mar 13, 2024
    + more versions
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    Moataz Elmassri; Tariq Z. Elrazaz; Yousry Ahmed (2024). Excluding the financial crisis effect. [Dataset]. http://doi.org/10.1371/journal.pone.0299717.t006
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    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.

  3. T

    Thomson Reuters

    • id.tradingeconomics.com
    • ko.tradingeconomics.com
    • +11more
    csv, excel, json, xml
    Updated Sep 23, 2017
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    TRADING ECONOMICS (2017). Thomson Reuters [Dataset]. https://id.tradingeconomics.com/tri:cn:ebit
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Sep 23, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Dec 2, 2025
    Area covered
    Canada
    Description

    Thomson Reuters - Nilai saat ini, data historis, perkiraan, statistik, grafik dan kalender ekonomi - Dec 2025.Data for Thomson Reuters including historical, tables and charts were last updated by Trading Economics this last December in 2025.

  4. 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
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    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.

  5. LSEG Transcripts & Briefs Database

    • lseg.com
    Updated Oct 14, 2025
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    LSEG (2025). LSEG Transcripts & Briefs Database [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/company-data/events/earnings-transcripts-briefs/transcripts-database
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    csv,html,json,python,text,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Oct 14, 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

    LSEG Transcripts and Briefs database includes verbatim representations and unbiased summaries of corporate and institutional events. Access the data.

  6. 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
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    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.

  7. Z

    Current trends in scientific research on global warming: A bibliometric...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jan 21, 2020
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    R. Aleixandre-Benavent; J.L. Aleixandre-Tudó; M. Bolaños-Pizarro; J.L. Aleixandre (2020). Current trends in scientific research on global warming: A bibliometric analysis (2005-2014) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_1218021
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    Dataset updated
    Jan 21, 2020
    Dataset provided by
    Ingenio (CSIC-UPV) & UISYS, Unidad Mixta de Investigación, CSIC-Universidad de Valencia, Spain.
    Instituto de Ingeniería de Alimentos para el Desarrollo (IIAD). Universidad Politécnica de Valencia, Spain.
    Departamento de Hisotria de la Ciencia y Documentación. Universitat de València, Spain
    Instituto de Ingeniería de Alimentos para el Desarrollo (IIAD). Universidad Politécnica de Valencia, Spain
    Authors
    R. Aleixandre-Benavent; J.L. Aleixandre-Tudó; M. Bolaños-Pizarro; J.L. Aleixandre
    License

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

    Description

    This dataset was created in the context of the project: " Current trends in scientific research on global warming: A bibliometric analysis (2005-2014)".

    Global warming is a topic of increasing public importance, but there have not been published scientometric studies on this topic. The objective of this paper is to contribute to a better understanding of the scientific knowledge in global warming and his effect, as well as to investigate its evolution through the published papers included in Web of Science database. Items under study were collected from Web of Science database from Thomson Reuters. A bibliometric and social network analyses was performed to obtain indicators of scientific productivity, impact and collaboration between researchers, institutions and countries. A subject analysis was also carried out taking into account the key words assigned to papers and subject areas of journals. 1,672 articles were analysed since 2005 until 2014. The most productive journals were Journal of Climate (n=95) and Geophysical Resarch Letters (n=78). The most frequent keywords have been Climate Change (n=722), Model (n=216) and Temperature (n=196). The network of collaboration between countries shows the central position of the United States, together with other leading countries such as United Kingdom, Germany, France and Peoples Republic of China. The research on global warming had grown steadily during the last decade. A vast amount of journals from several subject areas publishes the papers on the topic, including journals of general purpose with high impact factor. Almost all the countries have USA as the main country with which one collaborates. The analysis of key words shows that topics related with climate change, impact, temperature, models and variability are the most important concerns on global warming.

    The dataset consist of the following:

    1) The list of papers included in the analyses: Papers.xlsx

    This file contains 1672 titles, each line representing a paper (including title of the paper, journal ISSN and year of publication).

    2) The list of authors: Authors.xlsx

    This file contains all 4488 authors, each line representing an author (including full name, total number of papers and year of publication).

    3) The list of scientific journals: Journals.xlsx

    This file containts all 687 journals, each line representing a journal (including name of the journal, ISSN, total number of papers and year of publication).

    4) The list of countries: Country.xlsx

    This file contains all 84 countries, each line representing a country (including country name, total number of papers, total number of citations, and number of citations per paper).

    5) The list of keywords: Keywords.xlsx

    This file contains all 6422 keywords, each line representing a keyword (including keywords, number of papers and year of publication)

  8. Data from: Systematic review of the uncertainty of coral reef futures under...

    • data.niaid.nih.gov
    • search.dataone.org
    • +1more
    zip
    Updated Feb 27, 2024
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    Shannon Klein; Cassandra Roch; Carlos Duarte (2024). Systematic review of the uncertainty of coral reef futures under climate change, datasets [Dataset]. http://doi.org/10.5061/dryad.4f4qrfjkp
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    zipAvailable download formats
    Dataset updated
    Feb 27, 2024
    Dataset provided by
    King Abdullah University of Science and Technology
    Authors
    Shannon Klein; Cassandra Roch; Carlos Duarte
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Climate change impact syntheses, such as those by the Intergovernmental Panel on Climate Change (IPCC), consistently assert that limiting global warming to 1.5°C is unlikely to safeguard most of the world’s coral reefs. This prognosis primarily stems from 'excess heat’ threshold models, which assume that widespread coral bleaching predictably occurs when temperatures accumulate beyond a specific threshold. Our systematic review of research projecting coral reef futures to climate change (n=79) revealed that 'excess heat' models constituted only one third (32%) of all studies but attracted a high proportion (68%) of citations in the field. We observed that most methods employed deterministic cause-and-effect rules rather than probabilistic relationships, impeding the field's ability to estimate uncertainties of coral reef futures. In attempting to assess the consistency of projected impacts, we aimed to identify common coral reef metrics under the same emissions scenarios. However, disparate choices in metrics and emissions scenarios hindered a cohesive synthesis and limited the exploratory analysis to a small fraction of available studies. We found substantial discrepancies in expected impacts to coral reefs, suggesting that some 'excess heat' models may project more extreme impacts than other methods. Drawing on lessons from the field of climate change science, we propose that an IPCC ensemble-like approach to generating probabilistic projections for coral reef futures is feasible. Successful implementation will require improved coordination among modeling efforts to select common output metrics and emission scenarios, addressing existing geographical biases, among other gaps in current modeling efforts. Methods We conducted a comprehensive literature search using the Thomson Reuters Web of Science database to identify studies that projecting the impacts of climate change on shallow tropical and sub-tropical coral reefs. This search, adhering to PRISMA guidelines, yielded 2705 peer-reviewed articles, which we refined to 79 relevant articles published between 1999 and 2023 based on a specific selection criteria (Dataset 1). These studies were categorized into five major methodology types and further classified based on their approaches to simulating heat stress. Key characteristics such as the model output variables, spatial scale, and geographic area of each study were extracted, along with their methodological approaches, assumptions, and the techniques used.Our study aimed to assess and compare the projected impacts and uncertainties of various model types using a meta-analysis approach. The database of 79 studies was considered for inclusion in the exploratory meta-analysis based on specific criteria (view published article and supplementary methods for detailed list and Supplementary Figure 1). Briefly, to enable a meaningful analysis, we identified the three most frequently used model outputs in our database. Among those, only studies that provided: 1) sufficient data for projection estimates and uncertainty measures to be reliably extracted or calculated, 2) reported end-of-century projections, and 3) used a baseline period between 2000 and 2015, were selected for the exploratory meta-analysis. In cases where projection and uncertainty estimates were presented in figures, values were extracted using PlotDigitizer, where possible.

  9. w

    State Firearm Laws by State

    • data.wu.ac.at
    Updated May 24, 2018
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    Everytown for Gun Safety and Legal Science, LLC (2018). State Firearm Laws by State [Dataset]. https://data.wu.ac.at/schema/public_opendatasoft_com/c3RhdGUtZmlyZWFybS1sYXdzLWJ5LXN0YXRl
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    json, xls, csv, kml, application/vnd.geo+jsonAvailable download formats
    Dataset updated
    May 24, 2018
    Dataset provided by
    Everytown for Gun Safety and Legal Science, LLC
    License

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

    Description

    One-hundred of the 133 provisions were coded by Michael Siegel, MD, MPH, Boston University School of Public Health, with funding from the Robert Wood Johnson Foundation, Evidence for Action: Investigator-Initiated Research to Build a Culture of Health program (grant #73337), using data derived from the Thomson Reuters Westlaw legislative database. The other 33 provisions were coded using a database created by Everytown for Gun Safety and Legal Science, LLC. Shared in accordance with the Creative Commons Attribution-4.0 International License, which is incorporated herein by this reference. No changes were made to the original coding, but the data were adapted for use in this database. See the codebook for a list of which provisions were coded by which source.

  10. H

    Data Visualization in Social Work Research

    • dataverse.harvard.edu
    • data.niaid.nih.gov
    • +2more
    Updated Aug 8, 2013
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    David Rothwell; Tonino Esposito; Wegner-Lohin (2013). Data Visualization in Social Work Research [Dataset]. http://doi.org/10.7910/DVN/I6IIXL
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 8, 2013
    Dataset provided by
    Harvard Dataverse
    Authors
    David Rothwell; Tonino Esposito; Wegner-Lohin
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2009 - 2012
    Area covered
    International
    Description

    Research dissemination and knowledge translation are imperative in social work. Methodological developments in data visualization techniques have improved the ability to convey meaning and reduce erroneous conclusions. The purpose of this project is to examine: (1) How are empirical results presented visually in social work research?; (2) To what extent do top social work journals vary in the publication of data visualization techniques?; (3) What is the predominant type of analysis presented in tables and graphs?; (4) How can current data visualization methods be improved to increase understanding of social work research? Method: A database was built from a systematic literature review of the four most recent issues of Social Work Research and 6 other highly ranked journals in social work based on the 2009 5-year impact factor (Thomson Reuters ISI Web of Knowledge). Overall, 294 articles were reviewed. Articles without any form of data visualization were not included in the final database. The number of articles reviewed by journal includes : Child Abuse & Neglect (38), Child Maltreatment (30), American Journal of Community Psychology (31), Family Relations (36), Social Work (29), Children and Youth Services Review (112), and Social Work Research (18). Articles with any type of data visualization (table, graph, other) were included in the database and coded sequentially by two reviewers based on the type of visualization method and type of analyses presented (descriptive, bivariate, measurement, estimate, predicted value, other). Additional revi ew was required from the entire research team for 68 articles. Codes were discussed until 100% agreement was reached. The final database includes 824 data visualization entries.

  11. m

    Data from: Liquidity, time-varying betas and anomalies. Is the high trading...

    • data.mendeley.com
    Updated Nov 19, 2019
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    Paper authors Paper authors (2019). Liquidity, time-varying betas and anomalies. Is the high trading activity enhancing the validity of the CAPM in the UK equity market? [Dataset]. http://doi.org/10.17632/56n2yxgpcf.1
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    Dataset updated
    Nov 19, 2019
    Authors
    Paper authors Paper authors
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Using all stocks listed in the London Stock Exchange for the period from January 1989 to December 2018, the dataset comprises the following series:

    1. Annual returns for 20 asset growth portfolios, following Fama and French (1993) methodology.
    2. Annual returns for 25 portfolios size-book to market equity, following Fama and French (1993) methodology.
    3. Annual returns for 62 industry portfolios, using two-digit SIC codes.
    4. Fama and French (1993) factors for their three-factor model (RM, SMB and HML).
    5. Fama and French (2015) factors for their five-factor model (RM, SMB, HML, RMW, and CMA).
    6. Variation of the Amihid illiquidy measure for the London Stock Exchange, following Amihud (2002) methodology.
    7. Three-month interest rate of the Treasury Bill for the United Kingdom, as provided by the OECD database.

    We have produced these series using the following data from Thomson Reuters Datastream: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), (iv) total assets (WC02999 series), (v) return on equity (WC08301 series), (vi) tax rate (WC08346 series), (vii) primary SIC codes, (viii) turnover by volume (VO series), and (ix) the market price (P series). Following Griffin et al. (2010), we use the generic rules provided by the authors for excluding non-common equity securities from Datastream data.

    REFERENCES: Amihud, Y. (2002). Illiquidity and stock returns: Cross-section and time-series effects. Journal of Financial Markets, 5, 31–56. Fama, E. F. and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116, 1–22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review of Financial Studies, 23, 3225–3277.

  12. r

    Journal of Business Ethics Acceptance Rate - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Apr 28, 2022
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    Research Help Desk (2022). Journal of Business Ethics Acceptance Rate - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/acceptance-rate/546/journal-of-business-ethics
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    Dataset updated
    Apr 28, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of Business Ethics Acceptance Rate - ResearchHelpDesk - The Journal of Business Ethics publishes only original articles from a wide variety of methodological and disciplinary perspectives concerning ethical issues related to business that bring something new or unique to the discourse in their field. Since its initiation in 1980, the editors have encouraged the broadest possible scope. The term business' is understood in a wide sense to include all systems involved in the exchange of goods and services, whileethics' is circumscribed as all human action aimed at securing a good life. Systems of production, consumption, marketing, advertising, social and economic accounting, labor relations, public relations, and organizational behavior are analyzed from a moral viewpoint. The style and level of dialogue involve all who are interested in business ethics - the business community, universities, government agencies, and consumer groups. Speculative philosophy as well as reports of empirical research are welcomed. In order to promote a dialogue between the various interested groups as much as possible, papers are presented in a style relatively free of specialist jargon. FT 50 - This journal is one of the 50 journals used by the Financial Times in compiling the prestigious Business School research rank Thomson Reuters Journal Citation Reports® Ranking by Category Ethics 2/54 Business 33/147 Abstracted and indexed in ABS Academic Journal Quality Guide Australian Business Deans Council (ABDC) Journal Quality List CNKI Current Contents / Social & Behavioral Sciences EBSCO Book Review Digest Plus EBSCO Business Abstracts with Full Text EBSCO Business Source EBSCO Discovery Service EBSCO Education EBSCO Education Source EBSCO Health Business EBSCO Management Collection EBSCO Nonprofit Organization Reference Center EBSCO OmniFile ECONIS ERIH PLUS Gale Gale Academic OneFile Gale InfoTrac Google Scholar Institute of Scientific and Technical Information of China JSTOR Journal Citation Reports/Social Sciences Edition Naver OCLC WorldCat Discovery Service PhilPapers ProQuest ABI/INFORM ProQuest Art, Design and Architecture Collection ProQuest Arts & Humanities Database ProQuest Arts Premium Collection ProQuest Business Premium Collection ProQuest Central ProQuest Health Research Premium Collection ProQuest Politics Collection ProQuest Psychology Database ProQuest Social Science Collection ProQuest-ExLibris Primo ProQuest-ExLibris Summon PsycINFO Psyndex Research Papers in Economics (RePEc) SCImago SCOPUS Social Science Citation Index Journal of Business Ethics - RG Journal Impact: 1.54 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2020 Available summer 2021 2018 / 2019 1.54 2017 1.51 2016 1.49 2015 2.63 2014 2.72 2013 2.98 2012 2.79 2011 2.22 2010 2.18 2009 1.76 2008 2.32 2007 1.46 2006 1.23 2005 1.35 2004 1.08 2003 1.11 2002 1.04 2001 0.83 2000 1.12 Additional details of Journal of Business Ethics Cited half-life 7.30 Immediacy index 0.17 Eigenfactor 0.01 Article influence 0.31 Website description Journal of Business Ethics website Other titles Journal of business ethics, JBE, J.B.E., JoBE Publication type Journals ISSN 0167-4544 OCLC 8398838 Coverage 1982-ongoing Material type Periodical, Internet resource Document type Journal / Magazine / Newspaper, Internet Resource Journal of Business Ethics - Scimago Details

  13. r

    Journal of Business Ethics Abbreviation ISO4 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). Journal of Business Ethics Abbreviation ISO4 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/abbreviation/546/journal-of-business-ethics
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of Business Ethics Abbreviation ISO4 - ResearchHelpDesk - The Journal of Business Ethics publishes only original articles from a wide variety of methodological and disciplinary perspectives concerning ethical issues related to business that bring something new or unique to the discourse in their field. Since its initiation in 1980, the editors have encouraged the broadest possible scope. The term business' is understood in a wide sense to include all systems involved in the exchange of goods and services, whileethics' is circumscribed as all human action aimed at securing a good life. Systems of production, consumption, marketing, advertising, social and economic accounting, labor relations, public relations, and organizational behavior are analyzed from a moral viewpoint. The style and level of dialogue involve all who are interested in business ethics - the business community, universities, government agencies, and consumer groups. Speculative philosophy as well as reports of empirical research are welcomed. In order to promote a dialogue between the various interested groups as much as possible, papers are presented in a style relatively free of specialist jargon. FT 50 - This journal is one of the 50 journals used by the Financial Times in compiling the prestigious Business School research rank Thomson Reuters Journal Citation Reports® Ranking by Category Ethics 2/54 Business 33/147 Abstracted and indexed in ABS Academic Journal Quality Guide Australian Business Deans Council (ABDC) Journal Quality List CNKI Current Contents / Social & Behavioral Sciences EBSCO Book Review Digest Plus EBSCO Business Abstracts with Full Text EBSCO Business Source EBSCO Discovery Service EBSCO Education EBSCO Education Source EBSCO Health Business EBSCO Management Collection EBSCO Nonprofit Organization Reference Center EBSCO OmniFile ECONIS ERIH PLUS Gale Gale Academic OneFile Gale InfoTrac Google Scholar Institute of Scientific and Technical Information of China JSTOR Journal Citation Reports/Social Sciences Edition Naver OCLC WorldCat Discovery Service PhilPapers ProQuest ABI/INFORM ProQuest Art, Design and Architecture Collection ProQuest Arts & Humanities Database ProQuest Arts Premium Collection ProQuest Business Premium Collection ProQuest Central ProQuest Health Research Premium Collection ProQuest Politics Collection ProQuest Psychology Database ProQuest Social Science Collection ProQuest-ExLibris Primo ProQuest-ExLibris Summon PsycINFO Psyndex Research Papers in Economics (RePEc) SCImago SCOPUS Social Science Citation Index Journal of Business Ethics - RG Journal Impact: 1.54 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2020 Available summer 2021 2018 / 2019 1.54 2017 1.51 2016 1.49 2015 2.63 2014 2.72 2013 2.98 2012 2.79 2011 2.22 2010 2.18 2009 1.76 2008 2.32 2007 1.46 2006 1.23 2005 1.35 2004 1.08 2003 1.11 2002 1.04 2001 0.83 2000 1.12 Additional details of Journal of Business Ethics Cited half-life 7.30 Immediacy index 0.17 Eigenfactor 0.01 Article influence 0.31 Website description Journal of Business Ethics website Other titles Journal of business ethics, JBE, J.B.E., JoBE Publication type Journals ISSN 0167-4544 OCLC 8398838 Coverage 1982-ongoing Material type Periodical, Internet resource Document type Journal / Magazine / Newspaper, Internet Resource Journal of Business Ethics - Scimago Details

  14. f

    Likelihood of making industrial diversifying acquisitions.

    • figshare.com
    xls
    Updated Mar 13, 2024
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    Moataz Elmassri; Tariq Z. Elrazaz; Yousry Ahmed (2024). Likelihood of making industrial diversifying acquisitions. [Dataset]. http://doi.org/10.1371/journal.pone.0299717.t003
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    xlsAvailable download formats
    Dataset updated
    Mar 13, 2024
    Dataset provided by
    PLOS ONE
    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

    Likelihood of making industrial diversifying acquisitions.

  15. d

    Data from: Priorities and motivations of marine coastal restoration research...

    • search.dataone.org
    • borealisdata.ca
    Updated Mar 16, 2024
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    Bayraktarov, Elisa; Brisbane, Shantala; Stewart-Sinclair, Phoebe J; Van Herwaarden, Audrey; Stark, Keila; Hagger, Valerie; Smith, Carter S; Wilson, Kerrie A; Lovelock, Catherine E; Gillies, Chris; Steven, Andrew D L; Saunders, Megan I (2024). Data from: Priorities and motivations of marine coastal restoration research [Dataset]. http://doi.org/10.5683/SP2/8VOMWC
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    Dataset updated
    Mar 16, 2024
    Dataset provided by
    Borealis
    Authors
    Bayraktarov, Elisa; Brisbane, Shantala; Stewart-Sinclair, Phoebe J; Van Herwaarden, Audrey; Stark, Keila; Hagger, Valerie; Smith, Carter S; Wilson, Kerrie A; Lovelock, Catherine E; Gillies, Chris; Steven, Andrew D L; Saunders, Megan I
    Description

    AbstractActive restoration is becoming an increasingly important conservation intervention to counteract the degradation of marine coastal ecosystems. Understanding what has motivated the scientific community to research the restoration of marine coastal ecosystems and how restoration research projects are funded is essential if we want to scale-up restoration interventions to meaningful extents.Here, we systematically review and synthesize data to understand the motivations for research on the restoration of coral reefs, seagrass, mangroves, saltmarsh, and oyster reefs. We base this analysis off a published database of marine restoration studies, originally designed to estimate the cost and feasibility of marine coastal restoration, derived from mostly scientific studies published in peer-reviewed and some grey literature. For the present study, the database was updated with fields aimed at assessing the motivations, outcomes, and funding sources for each project. We classify restoration motivations into five categories: biotic, experimental, idealistic, legislative, and pragmatic. Moreover, we evaluate the variables measured and outcomes reported by the researchers and evaluate whether projects adhered to the Society for Ecological Restoration’s (SER) standards for the practice of ecological restoration. The most common motivation of the scientific community to study restoration in marine coastal ecosystems was experimental i.e. to seek experimental data to answer ecological research questions or improve restoration approach, as expected since mostly peer-reviewed literature was evaluated here. There were differences in motivations among the five coastal ecosystems. For instance, biodiversity enhancement was the most common case for a biotic motivation in mangrove restoration projects. The most common metrics evaluated were growth/productivity, survivorship, habitat function, physical attributes and reproduction. For most ecosystems, ecological outcomes were frequently reported, with socio-economic implications of the restoration rarely mentioned, except for mangroves. Projects were largely funded by governmental grants with some investment from private donations, non-governmental organizations, and the involvement of volunteers. Our findings and database provide critical data to align future research of the scientific community with the real social, economic and policy needs required to scale-up marine coastal restoration projects., MethodsThe database of Bayraktarov et al. (2016) which included publications up to 2014, was expanded for the present study using the following methods: The database was updated to include publications until 2018. This involved a systematic literature search using Web of Science (Core collection; Thomson Reuters, New York, New York, U.S.A.) and Scopus (Elsevier, Atlanta, Georgia, U.S.A.) and the title search terms ‘(ecosystemA* OR ecosystemB*) AND restor*’, as well as ‘(ecosystemA * OR ecosystemB*) AND rehab*’. The terms ecosystemA and ecosystemB were used as placeholders for two different words describing the same ecosystem (e.g., coral and coral reef, mangrove and mangal, saltmarsh and salt marsh, shellfish and oyster). For consistency with Bayraktarov et al. (2016), An EndNote (Version X8.1; Thomson Reuters.) search was then performed within the full text using the search terms ‘(cost* OR feasib* OR surviv*)’. Additional information was gathered by following citations, personal communications, and inspecting diverse restoration databases and webpages. Reports included in the database were mostly from the published literature but also included some information from webpages and personal communications. English was the primary language in which the restoration projects were described with a few exceptions in Spanish. The updated database consisted of 275 studies of which 64% were scientific papers published in journals and 36% included other reports (e.g. books, book chapters, conference proceedings, reports, webpages, and personal communication)., Usage notesThis database represents the core part of the synthesis paper "Priorities and motivations of marine coastal restoration research". It contains information on cost and success of restoration projects worldwide described by the published literature, some grey literature and a few personal communications. This database is an update of the database "The cost and feasibility of marine coastal restoration" which captured information on the restoration of coral reefs, seagrass, mangroves, saltmarshes, and oyster reefs until November 2014. The update involves data extracted from the literature published until March 2018, data on motivations to carry out the restoration projects, information on whether the Standards for Ecological Restoration were followed by the projects, ... Visit https://dataone.org/datasets/sha256%3A0d853b99c6c81023832473553ec3f2fb5f3cbaf193d4551a612c6a7b190cb803 for complete metadata about this dataset.

  16. r

    Journal of Business Ethics Impact Factor 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). Journal of Business Ethics Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/546/journal-of-business-ethics
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of Business Ethics Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Business Ethics publishes only original articles from a wide variety of methodological and disciplinary perspectives concerning ethical issues related to business that bring something new or unique to the discourse in their field. Since its initiation in 1980, the editors have encouraged the broadest possible scope. The term business' is understood in a wide sense to include all systems involved in the exchange of goods and services, whileethics' is circumscribed as all human action aimed at securing a good life. Systems of production, consumption, marketing, advertising, social and economic accounting, labor relations, public relations, and organizational behavior are analyzed from a moral viewpoint. The style and level of dialogue involve all who are interested in business ethics - the business community, universities, government agencies, and consumer groups. Speculative philosophy as well as reports of empirical research are welcomed. In order to promote a dialogue between the various interested groups as much as possible, papers are presented in a style relatively free of specialist jargon. FT 50 - This journal is one of the 50 journals used by the Financial Times in compiling the prestigious Business School research rank Thomson Reuters Journal Citation Reports® Ranking by Category Ethics 2/54 Business 33/147 Abstracted and indexed in ABS Academic Journal Quality Guide Australian Business Deans Council (ABDC) Journal Quality List CNKI Current Contents / Social & Behavioral Sciences EBSCO Book Review Digest Plus EBSCO Business Abstracts with Full Text EBSCO Business Source EBSCO Discovery Service EBSCO Education EBSCO Education Source EBSCO Health Business EBSCO Management Collection EBSCO Nonprofit Organization Reference Center EBSCO OmniFile ECONIS ERIH PLUS Gale Gale Academic OneFile Gale InfoTrac Google Scholar Institute of Scientific and Technical Information of China JSTOR Journal Citation Reports/Social Sciences Edition Naver OCLC WorldCat Discovery Service PhilPapers ProQuest ABI/INFORM ProQuest Art, Design and Architecture Collection ProQuest Arts & Humanities Database ProQuest Arts Premium Collection ProQuest Business Premium Collection ProQuest Central ProQuest Health Research Premium Collection ProQuest Politics Collection ProQuest Psychology Database ProQuest Social Science Collection ProQuest-ExLibris Primo ProQuest-ExLibris Summon PsycINFO Psyndex Research Papers in Economics (RePEc) SCImago SCOPUS Social Science Citation Index Journal of Business Ethics - RG Journal Impact: 1.54 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2020 Available summer 2021 2018 / 2019 1.54 2017 1.51 2016 1.49 2015 2.63 2014 2.72 2013 2.98 2012 2.79 2011 2.22 2010 2.18 2009 1.76 2008 2.32 2007 1.46 2006 1.23 2005 1.35 2004 1.08 2003 1.11 2002 1.04 2001 0.83 2000 1.12 Additional details of Journal of Business Ethics Cited half-life 7.30 Immediacy index 0.17 Eigenfactor 0.01 Article influence 0.31 Website description Journal of Business Ethics website Other titles Journal of business ethics, JBE, J.B.E., JoBE Publication type Journals ISSN 0167-4544 OCLC 8398838 Coverage 1982-ongoing Material type Periodical, Internet resource Document type Journal / Magazine / Newspaper, Internet Resource Journal of Business Ethics - Scimago Details

  17. Summary statistics: Multivariate OLS analysis.

    • plos.figshare.com
    xls
    Updated Dec 7, 2023
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    Vivek Astvansh; Tao Chen; Jimmy Chengyuan Qu (2023). Summary statistics: Multivariate OLS analysis. [Dataset]. http://doi.org/10.1371/journal.pone.0286336.t001
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    xlsAvailable download formats
    Dataset updated
    Dec 7, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Vivek Astvansh; Tao Chen; Jimmy Chengyuan Qu
    License

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

    Description

    This table reports summary statistics of the key variables in multivariate OLS analysis. The sample comes from multiple sources. Firm-level financial data come from COMPUSTAT database. Corporate social responsibility data come from MSCI ESG KLD database. Institutional investor holdings data come from Thomson Reuters Institutional (13F) Holdings database (adjusted by Factset Institutional Holdings database after June 2013). Analyst coverage data come from Institutional Brokers Estimate System (I\B\E\S). We require observations to satisfy the following criteria: (1) Book equity is positive; (2) Each firm should at least have 2-year consecutive observations; (3) Variables are available in all observations; (4) Firms are not in financial (SIC code 6000–6999) or utility (SIC codes 4900–4999) industries. Finally, the sample consists of 13,112 observations that meet these criteria during 1995–2014 when both Thomson Reuters Institutional (13F) Holdings and KLD are available. All continuous variables are winsorized at 1st and 99th percentiles to alleviate the potential disturbance from outliers. The variable definitions are provided in Table A1 of S1 Appendix.

  18. Summary statistics: Quasi-natural experiment.

    • figshare.com
    xls
    Updated Dec 7, 2023
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    Vivek Astvansh; Tao Chen; Jimmy Chengyuan Qu (2023). Summary statistics: Quasi-natural experiment. [Dataset]. http://doi.org/10.1371/journal.pone.0286336.t004
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    xlsAvailable download formats
    Dataset updated
    Dec 7, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Vivek Astvansh; Tao Chen; Jimmy Chengyuan Qu
    License

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

    Description

    This table reports the summary statistics of the key variables in the quasi-natural experiment based on mergers between financial institutional blockholders during 1995–2012. The sample comes from multiple sources. Firm-level financial data come from COMPUSTAT database. Corporate social responsibility data come from MSCI ESG KLD database. Institutional investor holdings data come from Thomson Reuters Institutional (13F) Holdings database. Analyst coverage data come from Institutional Brokers Estimate System (I\B\E\S). We require observations to satisfy the following criteria: (1) Book equity is positive; (2) Each firm should at least have 2-year consecutive observations; (3) Variables are available in all observations; (4) Firms are not in financial (SIC code 6000–6999) or utility (SIC codes 4900–4999) industries. Our sample includes 3,778 firm-years that meet these criteria during 1995–2012 when Thomson Reuters Institutional (13F) Holdings and KLD are available and firms can be matched to blockholder mergers. All continuous variables are winsorized at 1st and 99th percentiles to alleviate the potential disturbance from outliers.

  19. Database Date Ranges.

    • figshare.com
    xls
    Updated Jun 1, 2023
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    Sally Lindsay; Laura R. Hartman; Nick Reed; Caron Gan; Nicole Thomson; Beverely Solomon (2023). Database Date Ranges. [Dataset]. http://doi.org/10.1371/journal.pone.0124679.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Sally Lindsay; Laura R. Hartman; Nick Reed; Caron Gan; Nicole Thomson; Beverely Solomon
    License

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

    Description

    Database Date Ranges.

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

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Thomson Reuters Biology Browser [Dataset]. http://identifiers.org/RRID:SCR_002040/resolver?q=*&i=rrid

Thomson Reuters Biology Browser

RRID:SCR_002040, nif-0000-12071, Thomson Reuters Biology Browser (RRID:SCR_002040), Reuters Biology Browser, Biology Browser, BiologyBrowser

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Description

THIS RESOURCE IS NO LONGER IN SERVICE. Documented April 7, 2018.Online portal and searchable database with resources for the greater scientific community such as zoological records, nomenclature guides, and relevant scientific news stories and websites.

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