Motivation is of great importance in the teaching-learning process, because motivated students seek out opportunities and show interest and enthusiasm in carrying out their tasks. The objective of this review is to identify and present the information available in the literature on the status quo of motivation among nursing program entrants. This is a qualitative scoping review study, a type of literature review designed to map out and find evidence to address a specific research objective, following the Joanna Briggs Institute methodology. The objective was outlined using the PCC (Population, Concept, Context) acronym. The protocol was developed and registered on the Open Science Framework (OSF) platform under DOI 10.17605/OSF.IO/EJNGY. The search strategy and database selection were defined by a library and information science professional together with the authors. The search will be carried out in the following databases: Cumulative Index to Nursing and Allied Health Literature, Literatura Latino Americana e do Caribe em Ciências da Saúde, Lilacs Esp, National Library of Medicine (PubMed), ScienceDirect, Scopus, and the Web of Science platform. The researchers will meet to discuss discrepancies and make decisions using a consensus model, and a third researcher will be tasked with independently resolving any conflicts. Data extraction will involve two independent researchers reviewing each article. Documents such as original articles; theoretical studies; experience reports; clinical study articles; case studies; normative, integrative, and systematic reviews; meta-analyses; meta-syntheses; monographs; theses; and dissertations in English, Portuguese, and Spanish from 2017 to 2023 were included. The results will be presented in tabular and/or diagrammatic format, along with a narrative summary.

Dataset for our study on the coverage of software engineering articles in open citation databases:

• a list of the 23 sampled venues with their respective CORE ranks and publishers,
  • 01-venues.csv,
• a list of the 204 sampled articles with their respective number of references/citations per citation database,
  • 02-articles.csv (articles with publication information),
  • 03-references-absolute.csv (number of references in published PDF & absolute numbers for reference coverage in databases),
  • 04-references-relative.csv (relative numbers for reference coverage in databases),
  • 05-citations-absolute.csv (absolute numbers for citation coverage in databases),
  • 06-citations relative.csv (relative numbers for citation coverage in databases),
• a list of the 8 articles analyzed in more detail with complete references data from the citation databases,
  • 07-selected-articles.csv (articles with publication information),
  • 08A–08H (comparison of references found in databases for each article),
• and additional statistical measures and plots
  • 09-Statistics.{pdf,xlsx} (statistical measures – i.e., minimum, maximum, median, average, variance – for the whole dataset and for subsets by publisher, CORE rank, or year of publication),
  • 10-Figures.zip (figures for references as shown in the study and additional figures for citations – each in EPS and PNG format).

EudraGMDP is the name for the Union database referred to in article 111(6) of Directive 2001/83/EC and article 80(6) of Directive 2001/82/EC.

It contains the following information:

• Manufacturing and import authorisations
• Good Manufacturing Practice (GMP) certificates.
• Statements of non-compliance with GMP
• GMP inspection planning in third countries
• Wholesale Distribution Authorisations
• Good Distribution Certificates (GDP)
• Statements of non-compliance with GDP
• Registration of manufacturers, importers and distributors of active substances for human use located in the EEA

Question Paper Solutions of chapter Basic Concept of DBMS of Relational Database Management System , 1st Semester , Master of Computer Applications (2 Years)

The dataset contains bibliographic information about scientific articles published by researchers from Norwegian research organizations and is an enhanced subset of data from the Cristin database. Cristin (current research information system in Norway) is a database with bibliographic records of all research articles with an Norwegian affiliation with a publicly funded research institution in Norway. The subset is limited to metadata about journal articles reported in the period 2013-2021 (186,621 records), and further limited to information of relevance for the study (see below). Article metadata are enhanced with open access status by several sources, particularly unpaywall, DOAJ and hybrid-information in case an article is part of a publish-and-read-deal.

List of Top Journals of Distributed Databases sorted by articles.

Motivations for the creation of the dataset The main objective of the creation of this dataset was to create a database listing the expense notes of the mayors who had responded positively to the requests made on the site requesting access to an administrative document, Madada.fr. The database lists only the expense notes that the town halls have kindly communicated publicly on Madada.fr. Indeed, the aim was to study the exact content of the mayors’ expense notes since 2020 available on the platform. We received no funding, the database was created as part of an article written for a student magazine (https://chicane-lemag.fr/) of the Masters of Information of Sciences Po Aix and EJCAM. The article entitled “What does the analysis of data on Mayors’ expense reports in 2022 tell us?” is available at this address: https://chicane-lemag.fr/16/2023/11/27/analyse-donnees-notes-de-frais-elus/ ## Composition of the dataset The dataset contains on each line the information of a specific expense note between 2020 and 2023 according to: — Date (day/month/year) — Community concerned — Supplier’s name — SIRET number — Main activity of the supplier — Object of expenditure — Supporting document — Amount in euros — Category of expenditure ## Data collection process The data were collected manually. Two students ensured this data collection. The collection took place from 1 October 2023 to 10 November 2023. They were collected from requests for expense reports on Madada.fr. They therefore represent not all the mayors of France but only those who have communicated their notes on the platform. ## Data pre-processing The data were cleaned and prepared by a careful reading of the supporting documents submitted by the mayors in order to justify their expense reports. The information was collected and then transferred to an Airtable database planned to identify these expense reports. ## Dissemination of the dataset The data is made available to all on data.gouv.fr under ODbL license. ## Dataset maintenance There are no plans to update these data. ## Legal and ethical considerations The publication of this data is governed by the right of access to administrative documents, as provided for in Book III of the Code of Relations between the Public and the Administration. The Council of State ruled that “notes of expenses and receipts of travel as well as notes of catering expenses and receipts of representation expenses of local elected officials or public officials constitute administrative documents, which may be communicated to any person who so requests” (Council of State 52521, reading of 8 February 2023).

This article presents an original database on international standards, constructed using modern data gathering methods. StanDat facilitates studies into the role of standards in the global political economy by (1) being a source for descriptive statistics, (2) enabling researchers to assess scope conditions of previous findings, and (3) providing data for new analyses, for example the exploration of the relationship between standardization and trade, as demonstrated in this article. The creation of StanDat aims to stimulate further research into the domain of standards. Moreover, by exemplifying data collection and dissemination techniques applicable to investigating less-explored subjects in the social sciences, it serves as a model for gathering, systematizing and sharing data in areas where information is plentiful yet not readily accessible for research.

This is a database snapshot of the iCite web service (provided here as a single zipped CSV file, or compressed, tarred JSON files). In addition, citation links in the NIH Open Citation Collection are provided as a two-column CSV table in open_citation_collection.zip. iCite provides bibliometrics and metadata on publications indexed in PubMed, organized into three modules:Influence: Delivers metrics of scientific influence, field-adjusted and benchmarked to NIH publications as the baseline.Translation: Measures how Human, Animal, or Molecular/Cellular Biology-oriented each paper is; tracks and predicts citation by clinical articlesOpen Cites: Disseminates link-level, public-domain citation data from the NIH Open Citation CollectionDefinitions for individual data fields:pmid: PubMed Identifier, an article ID as assigned in PubMed by the National Library of Medicinedoi: Digital Object Identifier, if availableyear: Year the article was publishedtitle: Title of the articleauthors: List of author namesjournal: Journal name (ISO abbreviation)is_research_article: Flag indicating whether the Publication Type tags for this article are consistent with that of a primary research articlerelative_citation_ratio: Relative Citation Ratio (RCR)--OPA's metric of scientific influence. Field-adjusted, time-adjusted and benchmarked against NIH-funded papers. The median RCR for NIH funded papers in any field is 1.0. An RCR of 2.0 means a paper is receiving twice as many citations per year than the median NIH funded paper in its field and year, while an RCR of 0.5 means that it is receiving half as many citations per year. Calculation details are documented in Hutchins et al., PLoS Biol. 2016;14(9):e1002541.provisional: RCRs for papers published in the previous two years are flagged as "provisional", to reflect that citation metrics for newer articles are not necessarily as stable as they are for older articles. Provisional RCRs are provided for papers published previous year, if they have received with 5 citations or more, despite being, in many cases, less than a year old. All papers published the year before the previous year receive provisional RCRs. The current year is considered to be the NIH Fiscal Year which starts in October. For example, in July 2019 (NIH Fiscal Year 2019), papers from 2018 receive provisional RCRs if they have 5 citations or more, and all papers from 2017 receive provisional RCRs. In October 2019, at the start of NIH Fiscal Year 2020, papers from 2019 receive provisional RCRs if they have 5 citations or more and all papers from 2018 receive provisional RCRs.citation_count: Number of unique articles that have cited this onecitations_per_year: Citations per year that this article has received since its publication. If this appeared as a preprint and a published article, the year from the published version is used as the primary publication date. This is the numerator for the Relative Citation Ratio.field_citation_rate: Measure of the intrinsic citation rate of this paper's field, estimated using its co-citation network.expected_citations_per_year: Citations per year that NIH-funded articles, with the same Field Citation Rate and published in the same year as this paper, receive. This is the denominator for the Relative Citation Ratio.nih_percentile: Percentile rank of this paper's RCR compared to all NIH publications. For example, 95% indicates that this paper's RCR is higher than 95% of all NIH funded publications.human: Fraction of MeSH terms that are in the Human category (out of this article's MeSH terms that fall into the Human, Animal, or Molecular/Cellular Biology categories)animal: Fraction of MeSH terms that are in the Animal category (out of this article's MeSH terms that fall into the Human, Animal, or Molecular/Cellular Biology categories)molecular_cellular: Fraction of MeSH terms that are in the Molecular/Cellular Biology category (out of this article's MeSH terms that fall into the Human, Animal, or Molecular/Cellular Biology categories)x_coord: X coordinate of the article on the Triangle of Biomediciney_coord: Y Coordinate of the article on the Triangle of Biomedicineis_clinical: Flag indicating that this paper meets the definition of a clinical article.cited_by_clin: PMIDs of clinical articles that this article has been cited by.apt: Approximate Potential to Translate is a machine learning-based estimate of the likelihood that this publication will be cited in later clinical trials or guidelines. Calculation details are documented in Hutchins et al., PLoS Biol. 2019;17(10):e3000416.cited_by: PMIDs of articles that have cited this one.references: PMIDs of articles in this article's reference list.Large CSV files are zipped using zip version 4.5, which is more recent than the default unzip command line utility in some common Linux distributions. These files can be unzipped with tools that support version 4.5 or later such as 7zip.Comments and questions can be addressed to iCite@mail.nih.gov

A database which houses publisher policies regarding the self- archiving of journal articles on the web and in Open Access repositories. RoMEO contains publishers' general policies on self-archiving of journal articles and certain conference series. Each entry provides a summary of the publisher's policy, including what version of an article can be deposited, where it can be deposited, and any conditions that are attached to that deposit.

Dataset

This dataset was created by Felipe Navarro

Released under Database: Open Database, Contents: Database Contents

Contents

Roadmap on chaos‑inspired imaging technologies (CI2‑Tech) database

Reproducibility data for the AntiBody Sequence Database (ABSD) article. This dataset contains the raw data (antibody sequences) extracted on June 20, 2024, from various databases, as well as the several scripts, to ensure the reproducibility of our results. External databases used: ABDB, AbPDB, CoV-AbDab, Genbank, IMGT, PDB, SACS, SAbDab, TheraSAbDab, UniProt, KABAT Scripts usage: each external database has a corresponding script to format all antibody sequences extracted from it. A last script enable merging all extracted antibody sequences while removing redundancy, standardizing and cleaning data.

TIAS 15-925.1 cover memo

This dataset includes the locations of businesses that pay taxes to the City and County of San Francisco. Each registered business may have multiple locations and each location is a single row. The Treasurer & Tax Collector’s Office collects this data through business registration applications, account update/closure forms, and taxpayer filings. The data is collected to help enforce the Business and Tax Regulations Code including, but not limited to: Article 6, Article 12, Article 12-A, and Article 12-A-1. http://sftreasurer.org/registration To update your listing or look up your BAN see this FAQ: https://support.datasf.org/help/registered-business-faqs

KAV 3121 cover memo

Question Paper Solutions of chapter PL/SQL of Relational Database Management System , 1st Semester , Master of Computer Applications (2 Years)

KAV 8743 cover memo

Edmonton, AB, Canada, 2020.

data for the pressure and thickness