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  • Russian digital economy as a social field
    The project goal is to study the Russian digital economy as a new social field, which is a place of interaction of social forces, carried by individual agents, groups, organizations with their aggregate capitals, habitus, and practices. The author has developed an approach to the definition of habitus, combining the actor's character and capital. To classify habitus, a series of studies was carried out and general characteristics of actions were determined depending on disposition and capitals combination. The research was carried out in 4 Russian regions - Kaliningrad, Yaroslavl, Tambov and Kursk region. 48 groups of common habitus characteristics were identified. Each group was given a name, which is projected in the minds of the Russian population into a certain holistic image. More detailed characteristics have been identified for the digital economy. The following data is presented - Description of the population habitus, Description of the digital habitus, Grouping of the Russian population habitus, Grouping of habitus by research area.
    • Dataset
    • Document
  • Personal GGMS
    • Dataset
  • Coleccion de prueba Unisimon
    Colleccion de prueba para demostracion en taller
    • Collection
  • Improving the Scopus and Aurora queries to identify research that supports the United Nations Sustainable Development Goals (SDGs) 2021
    The United Nations Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind. Since 2018, Elsevier have generated SDG search queries to help researchers and institutions track and demonstrate progress towards the targets of the United Nations Sustainable Development Goals (SDGs). At the end of 2018, Elsevier worked on 2 versions of the SDG queries. One version was created by the Elsevier Analytical Services group and another by the Science-Metrix group, who had recently become part of Elsevier. At that time Science-Metrix was creating queries for 5 of the 16 SDGs, as part of pro-bono work for UNESCO. In 2020 inspired by the earlier queries, Elsevier, through its Science-Metrix group, used a new approach to mapping publications to the SDGs. Taking customer feedback into account, they significantly increased the number of search terms used to define each SDG. Those queries were then complemented by a machine learning model, which helped increase the recall by approximately 10%. As a result, this year’s “Elsevier 2021 SDG mapping” captures on average twice as many articles as the 2020 version, while keeping precision above 80%. The mapping also has a better overlap with SDG queries from other independent projects. Times Higher Education (THE) are using the “Elsevier 2021 SDG mapping” as part of their 2021 Impact Rankings. The documentation below describes the methods used and shares the queries. For each SDG, you can download the query as a text file, along with an html file that describes the methodology used to create the search query, plus additional information such as the most influential keyphrases and journals. It also breaks down the query into digestable chunks. A separate folder contains the methodology for the machine learning component, along with a sample of the top 100 keyphrases per SDG and a stratified sample of 8,000 EIDs that the model identified arcoss the SDGs.
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
    • Text
  • Raw diffraction data for proteases
    Compilation of Raw diffraction datasets for proteases
    • Collection
  • COVID-19: Public health, and societal and psychological impacts datasets
    We selected Public health, and societal and psychological impacts datasets indexed by the Mendeley Data Search engine on the 2019-present COVID-19 / Coronavirus pandemic. The aim was to make it easier to find potentially relevant datasets for this specific topic
    • Collection
  • Ophthalmology Journal Research Data
    Ophthalmology Journal Research Data
    • Collection
  • Datos de prueba por areas del conocimiento
    Los usuarios normales (investigadores) utilizan las colecciones para organizar su material publicado, o para crear colecciones de conjuntos de datos relevantes o útiles, mientras que los gestores de repositorios y los bibliotecarios de datos utilizan las colecciones para organizar y catalogar los contenidos de todo su repositorio.
    • Collection
  • Elsevier Author Aid Human Diseases Collection
    Human Disease AuthorAid Collection combines information about rare and common diseases in standardized, easy-to-navigate overview templates and tables. It includes clinical, molecular, and pharmacological data from several Elsevier and public sources. Tables are planned to be updated with the latest citations quarterly. AuthorAid Templates can be a helpful guide for authors, researchers, clinicians, and students, especially those interested in rare diseases, because it highlights updates and findings from several sources on one page.
    • Collection
  • AA Tofacitinib Supplementary Table Final
    Alopecia areata recurrence patterns in children and young adults while on systemic tofacitinib therapy
    • Dataset