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1970 2024
132 results
  • Science and Engineering Indicators 2024 support material
    This repository includes the base notebooks used to prepare the patent and trademark data for SEI 2024. This covers the uploading of the PatentsView database, its curation, and the preparation of patent and trademark indicators across all the mapping classifications.
    • Dataset
  • Data for report "Artificial Intelligence: How knowledge is created, transferred, and used"
    There are the underlying data for our report "Artificial Intelligence: How knowledge is created, transferred, and used", published 2018. Data can be used to construct the graphs used in the report.
    • Dataset
  • Evolving patterns of extremely productive publishing behavior across science
    Author information for: Hyperprolific physics authors by year 2000-2022 inclusive. Author needs to have 73 or more publications in a year to qualify and their main field from 2000 to 2022 is Physics & Astronomy Hyperprolific non-physics authors by year 2000-2022 inclusive. Author needs to have 73 or more publications in a year to qualify and their main field from 2000 to 2022 must not be Physics & Astronomy Almost Hyperprolific physics authors by year 2000-2022 inclusive. Author needs to have between 61 and 72 publications in a year to qualify and their main field from 2000 to 2022 is Physics & Astronomy Almost Hyperprolific non- physics authors by year 2000-2022 inclusive. Author needs to have between 61 and 72 publications in a year to qualify and their main field from 2000 to 2022 must not be Physics & Astronomy Data: year - The year of publication of the articles, reviews, and conference proceedings analyzed in this study author_field - The primary field assigned to the author based upon publications and share of publications in the field field - The ScienceMetrix field classification of the journal the publication appears in Pubs_in_field_year - Total number of publications by the author in the given year in the given field Pubs_year_total - Total number of publications by the author in the given year Pubs_in_field_2000_2022 - Total number of publications by the author in the period 2000 to 2022 in the given field, Pubs_2000_2022_total - Total number of publications by the author in the period 2000 to 2022 rank - The author's rank, within their SM subfield, based on citation count rank (ns) - The author's rank, within their SM subfield, based on citation count with self citations excluded sm-subfield-1 - The author's SM subfield rank sm-subfield-1 - The author's rank, within their SM subfield, based upon their citation score rank sm-subfield-1 (ns) - The author's rank, within their SM subfield, based upon their citation score excluding self citations sm-subfield-1 count - The number of authors in the SM subfield Subfield_Percentile - 100 * rank/count Subfield_Percentile_ns - 100 * rank (ns)/count author_name - Author's name from their Scopus Author Profile hidx - The author's career H-Index affil_name - The name of the author's most recent affiliation cntry - The country of the author's most recent affiliation Total_Pubs - The number of articles, reviews, and conference proceedings from the affiliation in the period Pubs_with_more_than_100_authors - The number of articles, reviews, and conference proceedings from the affiliation in the period with more than 100 authors Pubs_with_more_than_500_authors - The number of articles, reviews, and conference proceedings from the affiliation in the period with more than 500 authors Pubs_with_more_than_1000_authors - The number of articles, reviews, and conference proceedings from the affiliation in the period with more than 1000 authors
    • Dataset
  • Download test
    Description
    • Dataset
  • Moderation test
    Moderation test
    • Other
  • Supplementary Data for "Differential correction of gender imbalance for top-cited scientists across scientific subfields over time"
    A look at gender imbalance amongst top cited authors. The term "breakdown" as it appears here means aggregate counts in the following list: author_count_total, author_count_top_2_pct, author_count_top_2_pct_sy, author_count_total_male, author_count_top_2_pct_male, author_count_top_2_pct_sy_male, author_count_total_female, author_count_top_2_pct_female, author_count_top_2_pct_sy_female, author_count_total_unknown, author_count_top_2_pct_unknown, author_count_top_2_pct_sy_unknown. The analysis done produces the following computed field: Femaleprop: The number of female authors in the top 2pct of cited authors over all genderized authors in the top 2pct of cited author for entire career Femalepropsy: The number of female authors in the top 2pct of cited authors in 2021 over all genderized authors in the top 2pct of cited authors for entire career calculated for 2021 only Difference: Femalepropsy - Femaleprop Fmtoppropensity: For each cohort and subfield the product of (total male authors/total number of female authors) * (total female authors in the top 2pct of cited authors in 2021/ total male authors in the top 2pct of cited authors in 2021) or more simply. total male to female ratio * ratio of female to male authors int the top 2pct of cited authors in 2021.
    • Dataset
  • Test collection
    Test description
    • Collection
  • Leisure Space-Time Dataset for the Research Paper on Leisure Science, Leisure Studies, and Leisure Space-Time
    Dr. Angela Williams, a sociologist from the United Kingdom, defines leisure space-time as "the temporal and spatial coalescence of activities and emotions within a designed environment." Dr. Wei Chen, from China's Leisure Studies Association defines leisure space-time as "the intersection of leisure experiences with the physical spaces they occur in." Dr. Hari Seldon. (United States, 2023): "Leisure Space-Time refers to a suitable location or place or environment for spending personal time in entertainment, whether individually or with friends and family." Leisure space-time discusses the essence of the concept as a harmonious blend of space, time, and experiences of happiness feelings. It's not mandatory for leisure space-time to be a luxury at all.
    • Dataset
  • Smoke Test
    Test
    • Other
  • Sustainability Assessment and Reporting Frameworks Matrix
    The data provided on the 'Matrix' tab of this excel workbook is the data used for analyses conducted in the whitepaper 'Demystifying sustainability assessment and reporting frameworks https://assets.ctfassets.net/o78em1y1w4i4/vsnNF0bJcJgdMSWUJuHL0/5abac6ecfc7268caacc7d83aac4b2fbf/Elsevier_Sustainability_Frameworks_Whitepaper.pdf. An analysis of six of the most popular frameworks used by higher education institutions (HEIs) and a step-by-step guide to help HEIs get started' (2023). The whitepaper aims to provide a comprehensive and objective analysis of six of the most popular sustainability frameworks used by HEIs. Our hope is that whitepaper will demystify sustainability assessment frameworks and help institutional leaders identify which of them is best placed to help their organizations drive action and achieve sustainable outcomes. We also hope the guide will prove a valuable resource for sustainability practitioners and students with an interest in this topic. The matrix is a searchable database of indicators that can be analysed. Please note that the frameworks vary considerably in their methods and this needs to be taken into consideration when conducting analyses with the matrix. Use our infographic to understand what each sustainability and reporting framework measures https://assets.ctfassets.net/o78em1y1w4i4/57Fu7d8NByerd7UEoSn2fv/eae1d30f2bd3e75ba9350d8a30e97b63/Elsevier_SDG-GRI-Infographic-.pdf
    • Dataset
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