22 datasets found
  1. Data articles in journals

    • data.niaid.nih.gov
    Updated Sep 22, 2023
    + more versions
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    Balsa-Sanchez, Carlota; Loureiro, Vanesa (2023). Data articles in journals [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3753373
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    Dataset updated
    Sep 22, 2023
    Dataset provided by
    University of A Coruñahttp://udc.es/
    Univeridade da Coruña
    Authors
    Balsa-Sanchez, Carlota; Loureiro, Vanesa
    License

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

    Description

    Version: 5

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2023/09/05

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

    • data_articles_journal_list_v5.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
    • data_articles_journal_list_v5.csv: full list of 140 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 5th version - Information updated: number of journals, URL, document types associated to a specific journal.

    Version: 4

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2022/12/15

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

    • data_articles_journal_list_v4.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
    • data_articles_journal_list_v4.csv: full list of 140 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 4th version - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR), Scopus and Web of Science (WOS), Journal Master List.

    Version: 3

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2022/10/28

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

    • data_articles_journal_list_v3.xlsx: full list of 124 academic journals in which data papers or/and software papers could be published
    • data_articles_journal_list_3.csv: full list of 124 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 3rd version - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR).

    Erratum - Data articles in journals Version 3:

    Botanical Studies -- ISSN 1999-3110 -- JCR (JIF) Q2 Data -- ISSN 2306-5729 -- JCR (JIF) n/a Data in Brief -- ISSN 2352-3409 -- JCR (JIF) n/a

    Version: 2

    Author: Francisco Rubio, Universitat Politècnia de València.

    Date of data collection: 2020/06/23

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

    • data_articles_journal_list_v2.xlsx: full list of 56 academic journals in which data papers or/and software papers could be published
    • data_articles_journal_list_v2.csv: full list of 56 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 2nd version - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Scimago Journal and Country Rank (SJR)

    Total size: 32 KB

    Version 1: Description

    This dataset contains a list of journals that publish data articles, code, software articles and database articles.

    The search strategy in DOAJ and Ulrichsweb was the search for the word data in the title of the journals. Acknowledgements: Xaquín Lores Torres for his invaluable help in preparing this dataset.

  2. r

    Global Total Number of Scientific Publications in Artificial Intelligence...

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). Global Total Number of Scientific Publications in Artificial Intelligence Share by Country (Units (Publications)), 2023 [Dataset]. https://www.reportlinker.com/dataset/c7a7f8eaeb968fd302788b2e529a126109612efb
    Explore at:
    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Description

    Global Total Number of Scientific Publications in Artificial Intelligence Share by Country (Units (Publications)), 2023 Discover more data with ReportLinker!

  3. A data product derived from Northeast Atlantic groundfish data from...

    • cefas.co.uk
    • ckan.publishing.service.gov.uk
    • +1more
    Updated 2022
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    Centre for Environment, Fisheries and Aquaculture Science (2022). A data product derived from Northeast Atlantic groundfish data from scientific trawl surveys 1983-2020 [Dataset]. http://doi.org/10.14466/CefasDataHub.126
    Explore at:
    Dataset updated
    2022
    Dataset authored and provided by
    Centre for Environment, Fisheries and Aquaculture Science
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Time period covered
    Jan 1, 1983 - Dec 31, 2020
    Description

    This is a data product to support state indicators that are based from groundfish biological data, derived using primary data from surveys undertaken in the Northeast Atlantic between 1983 and 2020. Catch records by taxonomic group and by length category in terms of biomass and numbers of fish standardised to duration (per hour) or to the area swept by the haul. Data are available from multiple surveys using data downloaded from the ICES database of trawl surveys (DATRAS) once quality-controlled and standardised following procedures detailed in Greenstreet and Moriarty 2017. Data file names reflect the OSPAR region sampled, country conducting the sampling, fishing gear and time of years of sampling (as defined by Greenstreet and Moriarty 2017), e.g.: BBICFraBT4 refers to Bay of Biscay and Iberian Coast data from France by a Beam Trawl survey in quarter 4 of the year and GNSIntOT3 refers to Greater North Sea data from International (multiple countries) sampling by an Otter Trawl survey in quarter 3 of the year etc.

    Greenstreet, S.P.R. and Moriarty, M. (2017) OSPAR Interim Assessment 2107 Fish Indicator Data Manual (Relating to Version 2 of the Groundfish Survey Monitoring and Assessment Data Product). Scottish Marine and Freshwater Science Vol 8 No 17, 83pp. DOI: 10.7489/1985-1

    Scientific survey data collected by multiple countries and made available through ICES DATRAS (https://www.ices.dk/data/data-portals/Pages/DATRAS.aspx). Swept-area estimates were generated by ICES 2021ab (ICES. 2021a. Workshop on the production of swept-area estimates for all hauls in DATRAS for biodiversity assessments (WKSAE-DATRAS). ICES Scientific Reports. 3:74. https://doi.org/10.17895/ices.pub.8232; ICES. 2021b. Workshop on the production of abundance estimates for sensitive species (WKABSENS); ICES Scientific Reports. 3:96. https://doi.org/10.17895/ices.pub.8299).

    ICES Data Centre host the database of trawl surveys (DATRAS) for groundfish and beam trawl data. DATRAS has an integrated quality check utility. All data, before entering the database, have to pass an extensive quality check. Despite this errors and missing data arise, which are subsequently dealt with by the data submitters from the contributing countries as required. However, this screening process was implemented in 2009 for data from 2004 onwards. Since some survey time-series extend back to the 1960s, historic data (unless re-evaluated and re-submitted by contributing countries) may not have been subject to the same level of quality control as these more recent data. Furthermore, the type of information collected, the level of detail and resolution in the data, has gradually evolved over time. In order to derive a single format, quality assured monitoring programme data product covering the entire Northeast Atlantic region inconsistencies in the datasets required resolution. These corrections are detailed in ICES 2021a,b: Biological data for trawl surveys are downloaded directly from DATRAS in raw exchange format (known as “HL data”). Ancillary data were processed by ICES 2021a,b to create the “SweptAreaAssessmentOutput” (which replaces the “HH data”) and these were downloaded from the same location: https://datras.ices.dk/Data_products/Download/Download_Data_public.aspx

    Data are processed to create a standalone data product to be used for indicator assessments of fish and elasmobranchs. Initially, hauls are subset to determine the Standard Monitoring Programme (i.e. excluding invalid hauls including those of duration shorter than 13 minutes or longer than 66 minutes, following Greenstreet and Moriarty 2017) and these hauls are used to define the Standard Survey Area by excluding areas sampled infrequently over time). Biological data were accepted with ICES SpecVal of 1, 4, 7, 10 (see http://vocab.ices.dk/ for further information on SpecVal categories). Additional QA/QC is made at this step to determine if species identification issues are present in the raw biological data and these were discussed and agreed with the Chief Scientist for each survey.

  4. DataSheet_1_Radiomics in Oncology: A 10-Year Bibliometric Analysis.pdf

    • frontiersin.figshare.com
    pdf
    Updated Jun 6, 2023
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    Haoran Ding; Chenzhou Wu; Nailin Liao; Qi Zhan; Weize Sun; Yingzhao Huang; Zhou Jiang; Yi Li (2023). DataSheet_1_Radiomics in Oncology: A 10-Year Bibliometric Analysis.pdf [Dataset]. http://doi.org/10.3389/fonc.2021.689802.s001
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Haoran Ding; Chenzhou Wu; Nailin Liao; Qi Zhan; Weize Sun; Yingzhao Huang; Zhou Jiang; Yi Li
    License

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

    Description

    ObjectivesTo date, radiomics has been applied in oncology for over a decade and has shown great progress. We used a bibliometric analysis to analyze the publications of radiomics in oncology to clearly illustrate the current situation and future trends and encourage more researchers to participate in radiomics research in oncology.MethodsPublications for radiomics in oncology were downloaded from the Web of Science Core Collection (WoSCC). WoSCC data were collected, and CiteSpace was used for a bibliometric analysis of countries, institutions, journals, authors, keywords, and references pertaining to this field. The state of research and areas of focus were analyzed through burst detection.ResultsA total of 7,199 pieces of literature concerning radiomics in oncology were analyzed on CiteSpace. The number of publications has undergone rapid growth and continues to increase. The USA and Chinese Academy of Sciences are found to be the most prolific country and institution, respectively. In terms of journals and co-cited journals, Scientific Reports is ranked highest with respect to the number of publications, and Radiology is ranked highest among co-cited journals. Moreover, Jie Tian has published the most publications, and Phillipe Lambin is the most cited author. A paper published by Gillies et al. presents the highest citation counts. Artificial intelligence (AI), segmentation methods, and the use of radiomics for classification and diagnosis in oncology are major areas of focus in this field. Test-retest statistics, including reproducibility and statistical methods of radiomics research, the relation between genomics and radiomics, and applications of radiomics to sarcoma and intensity-modulated radiotherapy, are frontier areas of this field.ConclusionTo our knowledge, this is the first study to provide an overview of the literature related to radiomics in oncology and may inspire researchers from multiple disciplines to engage in radiomics-related research.

  5. H

    Drug Discovery Informatics Market Trends - Growth & Future Outlook 2025 to...

    • futuremarketinsights.com
    html, pdf
    Updated Mar 21, 2025
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    Sabyasachi Ghosh (2025). Drug Discovery Informatics Market Trends - Growth & Future Outlook 2025 to 2035 [Dataset]. https://www.futuremarketinsights.com/reports/drug-discovery-informatics-market
    Explore at:
    pdf, htmlAvailable download formats
    Dataset updated
    Mar 21, 2025
    Authors
    Sabyasachi Ghosh
    License

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

    Time period covered
    2025 - 2035
    Area covered
    Worldwide
    Description

    The Drug Discovery Informatics Market is expected to witness substantial growth between 2025 and 2035, driven by the increasing integration of artificial intelligence (AI) and machine learning (ML) in drug discovery processes. The market is projected to be valued at USD 16,445.1 million in 2025 and is anticipated to grow to USD 64,814.3 million by 2035, reflecting a compound annual growth rate (CAGR) of 14.7% over the forecast period.

    MetricValue
    Industry Size (2025E)USD 16,445.1 Million
    Industry Value (2035F)USD 64,814.3 Million
    CAGR (2025 to 2035)14.7%

    Country wise Outlook

    CountryCAGR (2025 to 2035)
    USA14.5%
    CountryCAGR (2025 to 2035)
    UK14.3%
    RegionCAGR (2025 to 2035)
    European Union15.0%
    CountryCAGR (2025 to 2035)
    Japan14.2%
    CountryCAGR (2025 to 2035)
    South Korea14.8%

    Competitive Outlook

    Company NameEstimated Market Share (%)
    PerkinElmer, Inc.18-22%
    Thermo Fisher Scientific, Inc.14-18%
    Certara, L.P.12-16%
    Collaborative Drug Discovery Inc.8-12%
    Novo Informatics6-10%
    Other Companies (combined)30-40%
  6. COVID-19 Research Papers Dataset

    • kaggle.com
    zip
    Updated Oct 7, 2021
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    Abdüssamet Aslan, MD (2021). COVID-19 Research Papers Dataset [Dataset]. https://www.kaggle.com/draaslan/covid19-research-papers-dataset
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    zip(86117971 bytes)Available download formats
    Dataset updated
    Oct 7, 2021
    Authors
    Abdüssamet Aslan, MD
    Description

    README

    COVID-19 Research Papers Dataset

    Introduction

    This dataset includes papers containing published research results on COVID-19. Each paper has its PubMed ID, DOI number, journal title, journal country, article title, authors, abstract, date of publication, and the number of citations until the date of update. It contains more than 150,000 articles in total. Newly added paper and citation numbers are updated monthly.

    Data Collection

    All articles with the word "COVID-19" published before September 2021 were included in the dataset. All data were collected using the PubMed API. Using multiple APIs, the data related to the articles were combined and made into a data set. The data set will be updated by adding new articles every month.

    Dataset

    All data is in papers.csv file.

    Columns

    • PubMed ID
    • DOI
    • Journal Name
    • Journal Country
    • Paper Title
    • Authors
    • Abstract
    • Publication Date
    • Citation Count

    Update History

    • 25.05.2021: Articles before May 2021 have been added.
    • 23.08.2021: Articles before August 2021 have been added.
    • 07.10.2021: Articles before September 2021 have been added.

    Licence

    See LICENSE for details.

  7. B

    Eurostat Research Indicators of Doctorate Holders in Europe: A Compilation...

    • borealisdata.ca
    • commons.datacite.org
    Updated Apr 15, 2018
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    Armando Aliu; Dorian Aliu (2018). Eurostat Research Indicators of Doctorate Holders in Europe: A Compilation of Career Development and Skill-related Statistical Dataset of Doctorate Holders [Dataset]. http://doi.org/10.5683/SP/NONDPW
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 15, 2018
    Dataset provided by
    Borealis
    Authors
    Armando Aliu; Dorian Aliu
    License

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

    Area covered
    Europe
    Description

    Description: These are research indicators of doctorate holders in Europe that were compiled from the criteria and factors of the Eurostat. This dataset consists of data in five categories (i.e. Career Development of Doctorate Holders; Labour Market - Job Vacancy Statistics; Skill-related Statistics; European and International Co-patenting in EPO Applications and Ownership of Inventors in EPO Applications). The Eurostat Research Indicators consist of (1) Doctorate holders who have studied, worked or carried out research in another EU country (%); (2) Doctorate holders by activity status (%); (3) Doctorate holders by sex and age group; (4) Employed doctorate holders working as researchers by length of stay with the same employer (%); (5) Employed doctorate holders working as researchers by job mobility and sectors of performance over the last 10 years (%); (6) Employed doctorate holders by length of stay with the same employer and sectors of performance (%); (7) Employed doctorate holders by occupation (ISCO_88, %); (8) Employed doctorate holders by occupation (ISCO_08, %); (9) Employed doctorate holders in non-managerial and non-professional occupations by fields of science (%); (10) Level of dissatisfaction of employed doctorate holders by reason and sex (%); (11) National doctorate holders having lived or stayed abroad in the past 10 years by previous region of stay (%); (12) National doctorate holders having lived or stayed abroad in the past 10 years by reason for returning into the country (%); (13) Non-EU doctorate holders in total doctorate holders (%); (14) Unemployment rate of doctorate holders by fields of science; (15) Employment in Foreign Affiliates of Domestic Enterprises; (16) Employment in Foreign Controlled Enterprises; (17) Employment rate of non-EU nationals, age group 20-64; (18) Intra-mural Business Enterprise R&D Expenditures in Foreign Controlled Enterprises; (19) Job vacancy rate by NACE Rev. 2 activity - annual data (from 2001 onwards); (20) Job vacancy statistics by NACE Rev. 2 activity, occupation and NUTS 2 regions - quarterly data; (21) Job vacancy statistics by NACE Rev. 2 activity - quarterly data (from 2001 onwards); (22) Value Added in Foreign Controlled Enterprises; (23) Graduates at doctoral level by sex and age groups - per 1000 of population aged 25-34; (24) Graduates at doctoral level, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 25-34; (25) Level of the best-known foreign language (self-reported) by degree of urbanisation; (26) Level of the best-known foreign language (self-reported) by educational attainment level; (27) Level of the best-known foreign language (self-reported) by labour status; (28) Level of the best-known foreign language (self-reported) by occupation; (29) Number of foreign languages known (self-reported) by educational attainment level; (30) Number of foreign languages known (self-reported) by degree of urbanisation; (31) Number of foreign languages known (self-reported) by labour status; (32) Number of foreign languages known (self-reported) by occupation; (33) Population by educational attainment level, sex, age and country of birth (%); (34) Co-patenting at the EPO according to applicants’/inventors’ country of residence - % in the total of each EU Member State patents; (35) Co-patenting at the EPO: crossing inventors and applicants; (36) Co-patenting at the EPO according to applicants’/inventors’ country of residence - number; (37) EU co-patenting at the EPO according to applicants’/ inventors’ country of residence by international patent classification (IPC) sections - number; (38) EU co-patenting at the EPO according to applicants’/inventors’ country of residence by international patent classification (IPC) sections - % in the total of all EU patents; (39) Domestic ownership of foreign inventions in patent applications to the EPO by priority year; (40) Foreign ownership of domestic inventions in patent applications to the EPO by priority year; and (41) Patent applications to the EPO with foreign co-inventors, by priority year.

  8. T

    RESEARCH AND DEVELOPMENT EXPENDITURE PERCENT OF GDP WB DATA.HTML by Country...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jan 12, 2024
    + more versions
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    TRADING ECONOMICS (2024). RESEARCH AND DEVELOPMENT EXPENDITURE PERCENT OF GDP WB DATA.HTML by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/research-and-development-expenditure-percent-of-gdp-wb-data.html/1000
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jan 12, 2024
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for RESEARCH AND DEVELOPMENT EXPENDITURE PERCENT OF GDP WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  9. C

    Global Oil Country Tubular Goods (OCTG) Casing and Tubing Market Scenario...

    • statsndata.org
    excel, pdf
    Updated Oct 2025
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    Stats N Data (2025). Global Oil Country Tubular Goods (OCTG) Casing and Tubing Market Scenario Forecasting 2025-2032 [Dataset]. https://www.statsndata.org/report/oil-country-tubular-goods-octg-casing-and-tubing-market-217412
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Oct 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Oil Country Tubular Goods (OCTG) Casing and Tubing market plays a crucial role in the oil and gas industry, serving as the backbone for efficient drilling and production operations. Casing and tubing are essential components used to line oil and gas wells, providing structural integrity and preventing the collap

  10. Maternal fetal ultrasound planes from low-resource imaging settings in five...

    • zenodo.org
    • data.niaid.nih.gov
    xz
    Updated Jan 29, 2025
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    Carla Sendra-Balcells; Carla Sendra-Balcells; Víctor M. Campello; Víctor M. Campello; Jordina Torrents-Barrena; Jordina Torrents-Barrena; Yahya Ali Ahmed; Mustafa Elattar; Mustafa Elattar; Benard Ohene-Botwe; Benard Ohene-Botwe; Pempho Nyangulu; William Stones; William Stones; Mohammed Ammar; Lamya Nawal Benamer; Harriet Nalubega Kisembo; Senai Goitom Sereke; Senai Goitom Sereke; Sikolia Z. Wanyonyi; Sikolia Z. Wanyonyi; Marleen Temmerman; Marleen Temmerman; Eduard Gratacós; Eduard Gratacós; Elisenda Bonet; Elisenda Bonet; Elisenda Eixarch; Elisenda Eixarch; Kamil Mikolaj; Kamil Mikolaj; Martin Grønnebæk Tolsgaard; Karim Lekadir; Karim Lekadir; Yahya Ali Ahmed; Pempho Nyangulu; Mohammed Ammar; Lamya Nawal Benamer; Harriet Nalubega Kisembo; Martin Grønnebæk Tolsgaard (2025). Maternal fetal ultrasound planes from low-resource imaging settings in five African countries [Dataset]. http://doi.org/10.5281/zenodo.7540448
    Explore at:
    xzAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Carla Sendra-Balcells; Carla Sendra-Balcells; Víctor M. Campello; Víctor M. Campello; Jordina Torrents-Barrena; Jordina Torrents-Barrena; Yahya Ali Ahmed; Mustafa Elattar; Mustafa Elattar; Benard Ohene-Botwe; Benard Ohene-Botwe; Pempho Nyangulu; William Stones; William Stones; Mohammed Ammar; Lamya Nawal Benamer; Harriet Nalubega Kisembo; Senai Goitom Sereke; Senai Goitom Sereke; Sikolia Z. Wanyonyi; Sikolia Z. Wanyonyi; Marleen Temmerman; Marleen Temmerman; Eduard Gratacós; Eduard Gratacós; Elisenda Bonet; Elisenda Bonet; Elisenda Eixarch; Elisenda Eixarch; Kamil Mikolaj; Kamil Mikolaj; Martin Grønnebæk Tolsgaard; Karim Lekadir; Karim Lekadir; Yahya Ali Ahmed; Pempho Nyangulu; Mohammed Ammar; Lamya Nawal Benamer; Harriet Nalubega Kisembo; Martin Grønnebæk Tolsgaard
    License

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

    Area covered
    Africa
    Description

    This resource is a dataset of routinely acquired maternal-fetal screening ultrasound images collected in five centers of five countries in Africa (Malawi, Egypt, Uganda, Ghana and Algeria) that is associated to the journal article Sendra-Bacells et al. "Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries", Scientific Reports. The images correspond to the four most common fetal planes: abdomen, brain, femur and thorax. A CSV file is provided where image filenames are associated to plane types and patient number as well as the partitioning in training and testing splits as used in the associated publication.

  11. Data from: UNFCCC country-submitted greenhouse gas emissions data until...

    • figshare.com
    zip
    Updated Jun 8, 2023
    + more versions
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    Mika Pflüger; Johannes Gütschow (2023). UNFCCC country-submitted greenhouse gas emissions data until 2021-12-03 [Dataset]. http://doi.org/10.6084/m9.figshare.17122034.v1
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    zipAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Mika Pflüger; Johannes Gütschow
    License

    https://www.apache.org/licenses/LICENSE-2.0.htmlhttps://www.apache.org/licenses/LICENSE-2.0.html

    Description

    Dataset containing all greenhouse gas emissions data submitted by countries under the climate change convention (CRF data and BUR data) as published by the UNFCCC secretariat at 2021-12-03.

  12. f

    Comparison of the endogamy level of journals published in different...

    • figshare.com
    xls
    Updated May 31, 2023
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    Letícia Strehl; Luciana Calabró; Diogo Onofre Souza; Lívio Amaral (2023). Comparison of the endogamy level of journals published in different countries. [Dataset]. http://doi.org/10.1371/journal.pone.0155148.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Letícia Strehl; Luciana Calabró; Diogo Onofre Souza; Lívio Amaral
    License

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

    Description

    Comparison of the endogamy level of journals published in different countries.

  13. Datasheet1_Use of implementation science to advance family planning programs...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    pdf
    Updated Jun 1, 2023
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    Colin Baynes; Petrus Steyn; Caroline Soi; Aneth Dinis; Stelio Tembe; Hedieh Mehrtash; Manjulaa Narasimhan; James Kiarie; Kenneth Sherr (2023). Datasheet1_Use of implementation science to advance family planning programs in low- and middle-income countries: A systematic review.pdf [Dataset]. http://doi.org/10.3389/fgwh.2022.1038297.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Colin Baynes; Petrus Steyn; Caroline Soi; Aneth Dinis; Stelio Tembe; Hedieh Mehrtash; Manjulaa Narasimhan; James Kiarie; Kenneth Sherr
    License

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

    Description

    ObjectiveAs environmental and economic pressures converge with demands to achieve sustainability development goals, low- and middle-income countries (LMIC) increasingly require strategies to strengthen and scale-up evidence-based practices (EBP) related to family planning (FP). Implementation science (IS) can help these efforts. The purpose of this article is to elucidate patterns in the use of IS in FP research and identify ways to maximize the potential of IS to advance FP in LMIC.Design and methodsWe conducted a systematic review that describes how IS concepts and principles have been operationalized in LMIC FP research published from 2007–2021. We searched six databases for implementation studies of LMIC FP interventions. Our review synthesizes the characteristics of implementation strategies and research efforts used to enhance the performance of FP-related EBP in these settings, identifying gaps, strengths and lessons learned.ResultsFour-hundred and seventy-two studies were eligible for full-text review. Ninety-two percent of studies were carried out in one region only, whereas 8 percent were multi-country studies that took place across multiple regions. 37 percent of studies were conducted in East Africa, 21 percent in West and Central Africa, 19 percent in Southern Africa and South Asia, respectively, and fewer than 5 percent in other Asian countries, Latin America and Middle East and North Africa, respectively. Fifty-four percent were on strategies that promoted individuals' uptake of FP. Far fewer were on strategies to enhance the coverage, implementation, spread or sustainability of FP programs. Most studies used quantitative methods only and evaluated user-level outcomes over implementation outcomes. Thirty percent measured processes and outcomes of strategies, 15 percent measured changes in implementation outcomes, and 31 percent report on the effect of contextual factors. Eighteen percent reported that they were situated within decision-making processes to address locally identified implementation issues. Fourteen percent of studies described measures to involve stakeholders in the research process. Only 7 percent of studies reported that implementation was led by LMIC delivery systems or implementation partners.ConclusionsIS has potential to further advance LMIC FP programs, although its impact will be limited unless its concepts and principles are incorporated more systematically. To support this, stakeholders must focus on strategies that address a wider range of implementation outcomes; adapt research designs and blend methods to evaluate outcomes and processes; and establish collaborative research efforts across implementation, policy, and research domains. Doing so will expand opportunities for learning and applying new knowledge in pragmatic research paradigms where research is embedded in usual implementation conditions and addresses critical issues such as scale up and sustainability of evidence-informed FP interventions.Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier: CRD42020199353.

  14. J

    Japan Exports: USA: Others: Scientific and Optical Instrument

    • ceicdata.com
    Updated Oct 15, 2025
    + more versions
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    CEICdata.com (2025). Japan Exports: USA: Others: Scientific and Optical Instrument [Dataset]. https://www.ceicdata.com/en/japan/exports-by-country-usa-value/exports-usa-others-scientific-and-optical-instrument
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    Japan
    Variables measured
    Merchandise Trade
    Description

    Japan Exports: USA: Others: Scientific and Optical Instrument data was reported at 27.036 JPY bn in Jun 2018. This records an increase from the previous number of 24.889 JPY bn for May 2018. Japan Exports: USA: Others: Scientific and Optical Instrument data is updated monthly, averaging 35.029 JPY bn from Jan 1990 (Median) to Jun 2018, with 342 observations. The data reached an all-time high of 94.449 JPY bn in Mar 2000 and a record low of 14.704 JPY bn in Feb 2009. Japan Exports: USA: Others: Scientific and Optical Instrument data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Japan – Table JP.JA017: Exports by Country: USA: Value.

  15. f

    Top Countries for hESC Research, with Comparison to Other SC and RNAi.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Mar 26, 2015
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    Rezaie, Rahim; McGahan, Anita M.; Mitchell, Will; Daar, Abdallah S.; Vakili, Keyvan (2015). Top Countries for hESC Research, with Comparison to Other SC and RNAi. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001909429
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    Dataset updated
    Mar 26, 2015
    Authors
    Rezaie, Rahim; McGahan, Anita M.; Mitchell, Will; Daar, Abdallah S.; Vakili, Keyvan
    Description

    The percentages report national shares of publications for hESC, other SC, and RNAi research, based on countries in which authors are based. For “Other SC”, we report both 1980–2010 (the full period of SC publications) and 1999–2010 (concurrent with the start of hESC publication). The results demonstrate that hESC scientists in constrained countries lost ground to those in flexible countries, while U.S.-based scientists maintained at least as strong a position in hESC as in the other fields.Top Countries for hESC Research, with Comparison to Other SC and RNAi.

  16. G

    Frozen Fried Rice Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Sep 1, 2025
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    Growth Market Reports (2025). Frozen Fried Rice Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/frozen-fried-rice-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Frozen Fried Rice Market Outlook



    According to our latest research, the global frozen fried rice market size reached USD 4.21 billion in 2024, with a robust compound annual growth rate (CAGR) of 6.2% projected through the forecast period. By 2033, the market is expected to achieve a value of USD 7.22 billion. This growth is primarily driven by the increasing demand for convenient, ready-to-eat meal solutions, rising urbanization, and the expanding presence of organized retail channels across both developed and emerging economies.



    One of the key growth factors for the frozen fried rice market is the rising consumer preference for quick and hassle-free meal options. As lifestyles become increasingly hectic, particularly in urban centers, consumers are turning to frozen foods that offer both convenience and time savings without compromising on taste or nutrition. The evolution of freezing technologies has further enhanced product quality, ensuring that frozen fried rice retains its original texture and flavor. This shift in consumer behavior, coupled with the growing number of dual-income households, is significantly boosting the adoption of frozen fried rice products worldwide.



    Another major driver is the ongoing innovation in product offerings and packaging. Manufacturers are continuously expanding their portfolios to include a variety of flavors and protein options, such as vegetable, chicken, shrimp, and pork fried rice, catering to diverse dietary preferences. The introduction of healthier variants, including low-sodium and organic options, is also expanding the consumer base. Innovative packaging solutions, such as microwaveable trays and resealable bags, are further enhancing the convenience factor, making it easier for consumers to prepare and store frozen fried rice.



    The rapid expansion of organized retail and e-commerce platforms is also playing a pivotal role in the marketÂ’s growth. Supermarkets, hypermarkets, and online retail channels are making frozen fried rice more accessible to a wider audience. These distribution channels offer consumers a broad selection of products, attractive discounts, and the convenience of doorstep delivery. The growing penetration of the internet and smartphones, especially in emerging economies, is accelerating the shift toward online grocery shopping, which is expected to further fuel market growth in the coming years.



    The introduction of diverse frozen food options has expanded the market significantly, with products like Frozen Country Fried Steak gaining traction among consumers seeking hearty, comfort meals. This product appeals to those who appreciate traditional flavors combined with the convenience of modern preparation methods. As consumers continue to seek out quick meal solutions that do not compromise on taste, offerings like Frozen Country Fried Steak provide a satisfying alternative to home-cooked meals. The ability to enjoy a classic dish with minimal preparation time aligns well with the busy lifestyles of today's consumers, further driving demand in the frozen food sector.



    Regionally, Asia Pacific remains the dominant market for frozen fried rice, accounting for a significant share of global revenue. This is attributed to the regionÂ’s strong culinary heritage, high population density, and rapid urbanization. North America and Europe are also witnessing steady growth, driven by changing dietary habits and increasing awareness of Asian cuisine. Meanwhile, Latin America and the Middle East & Africa are emerging as lucrative markets, supported by rising disposable incomes and the growing popularity of international food products.





    Product Type Analysis



    The product type segment of the frozen fried rice market is highly diversified, with vegetable fried rice, chicken fried rice, shrimp fried rice, pork fried rice, and other specialty variants availa

  17. Table S1 - How Are Health Research Priorities Set in Low and Middle Income...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xlsx
    Updated Jun 1, 2023
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    Skye McGregor; Klara J. Henderson; John M. Kaldor (2023). Table S1 - How Are Health Research Priorities Set in Low and Middle Income Countries? A Systematic Review of Published Reports [Dataset]. http://doi.org/10.1371/journal.pone.0108787.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Skye McGregor; Klara J. Henderson; John M. Kaldor
    License

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

    Description

    Details of health research initiatives. (XLSX)

  18. h

    Urine Testing Devices Industry Research by Key Players, Types, Applications,...

    • htfmarketinsights.com
    pdf & excel
    Updated Oct 8, 2025
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    HTF Market Intelligence (2025). Urine Testing Devices Industry Research by Key Players, Types, Applications, Countries, Industry [Dataset]. https://htfmarketinsights.com/report/3022687-urine-testing-devices-industry-research-by-key-players-types-applications-countries-market
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    pdf & excelAvailable download formats
    Dataset updated
    Oct 8, 2025
    Dataset authored and provided by
    HTF Market Intelligence
    License

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

    Time period covered
    2019 - 2031
    Area covered
    Global
    Description

    Global Urine Testing Devices Industry Research by Key Players, Types, Applications, Countries, Market is segmented by Application (Healthcare_ Home Care_ Clinical Laboratories_ Diagnostic Centers_ Sports Medicine), Type (Digital Urine Analyzers_ Strip Test Devices_ Urine Collection Systems_ Reagent Strips_ Portable Urine Test Kits), and Geography (North America_ LATAM_ West Europe_Central & Eastern Europe_ Northern Europe_ Southern Europe_ East Asia_ Southeast Asia_ South Asia_ Central Asia_ Oceania_ MEA)

  19. Share of GBARD in total general government expenditure

    • ec.europa.eu
    Updated Oct 10, 2025
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    Eurostat (2025). Share of GBARD in total general government expenditure [Dataset]. http://doi.org/10.2908/GBA_NABSTE
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    application/vnd.sdmx.data+csv;version=2.0.0, json, application/vnd.sdmx.data+csv;version=1.0.0, application/vnd.sdmx.genericdata+xml;version=2.1, application/vnd.sdmx.data+xml;version=3.0.0, tsvAvailable download formats
    Dataset updated
    Oct 10, 2025
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Time period covered
    1980 - 2024
    Area covered
    Poland, Portugal, Austria, Luxembourg, Iceland, Türkiye, Euro area – 20 countries (from 2023), United Kingdom, Latvia, Cyprus
    Description

    This domain provides users with data concerning Government Budget Allocations for R&D (GBARD). GBARD data are measuring government support to research and development (R&D) activities, and thereby provide information about the priority Governments give to different public R&D funding activities.

    GBARD data are compiled using the guidelines laid out in the OECD (2015), Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, The Measurement of Scientific, Technological and Innovation Activities, which is the internationally recognised standard methodology for collecting R&D statistics. (See Annex 7 at the bottom of the page).

    In the latest version of the Frascati Manual (2015) the term ‘Government budget appropriations or outlays for R&D’ (GBAORD) has been replaced with the simpler term ‘Government budget allocations for R&D’ (GBARD).

    GBARD data are broken down by:

    • Socio-economic objectives (SEOs) in accordance to the Nomenclature for the analysis and comparison of scientific programmes and budgets (NABS 2007). - (See Annex 3 at the bottom of the page).
    • Funding mode: project funding and institutional funding (non-mandatory data).

    The part of GBARD allocated to transnational cooperation in R&D is further broken down into three specific categories: transnational public R&D performers; Europe-wide transnational public R&D programmes; and bilateral or multilateral public R&D programmes established between Member State governments or with EFTA and candidate countries.

    Apart from the basic unit ‘National currency’ (MIO_NAC) data is available in the following units: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_ HAB_KP05), Percentage of GDP (PC_GDP), Percentage of total GBARD (PC_GBA - for the breakdowns by socio-economic objectives and by funding mode), Percentage of government expenditure (PC_GEXP).

    The periodicity of GBARD data is annual. Data are collected corresponding to the two legally established deadlines:

    • June data collection: Preliminary GBARD data are provided to Eurostat 6 months after the end of the calendar year (June). This data are targeted to be disseminated in Eurostat’s dissemination database at the end of July.
    • December data collection: Final GBARD data are provided to Eurostat 12 months after the end of the calendar year (December). This data are targeted to be disseminated in Eurostat’s dissemination database in the following January.

    GBARD data are available for following countries and country groups:

    • All EU Member States, EFTA countries and Candidate Countries, Japan, the United States and South Korea.
  20. T

    RESEARCH AND DEVELOPMENT EXPENDITURE PERCENT OF GDP WB DATA.HTMLDOWNLOAD by...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 26, 2022
    + more versions
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    TRADING ECONOMICS (2022). RESEARCH AND DEVELOPMENT EXPENDITURE PERCENT OF GDP WB DATA.HTMLDOWNLOAD by Country in AUSTRALIA [Dataset]. https://tradingeconomics.com/country-list/research-and-development-expenditure-percent-of-gdp-wb-data.htmldownload?continent=australia
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 26, 2022
    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
    2025
    Area covered
    Australia
    Description

    This dataset provides values for RESEARCH AND DEVELOPMENT EXPENDITURE PERCENT OF GDP WB DATA.HTMLDOWNLOAD reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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Balsa-Sanchez, Carlota; Loureiro, Vanesa (2023). Data articles in journals [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3753373
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Data articles in journals

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Dataset updated
Sep 22, 2023
Dataset provided by
University of A Coruñahttp://udc.es/
Univeridade da Coruña
Authors
Balsa-Sanchez, Carlota; Loureiro, Vanesa
License

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

Description

Version: 5

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2023/09/05

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

  • data_articles_journal_list_v5.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
  • data_articles_journal_list_v5.csv: full list of 140 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 5th version - Information updated: number of journals, URL, document types associated to a specific journal.

Version: 4

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2022/12/15

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

  • data_articles_journal_list_v4.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
  • data_articles_journal_list_v4.csv: full list of 140 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 4th version - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR), Scopus and Web of Science (WOS), Journal Master List.

Version: 3

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2022/10/28

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

  • data_articles_journal_list_v3.xlsx: full list of 124 academic journals in which data papers or/and software papers could be published
  • data_articles_journal_list_3.csv: full list of 124 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 3rd version - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR).

Erratum - Data articles in journals Version 3:

Botanical Studies -- ISSN 1999-3110 -- JCR (JIF) Q2 Data -- ISSN 2306-5729 -- JCR (JIF) n/a Data in Brief -- ISSN 2352-3409 -- JCR (JIF) n/a

Version: 2

Author: Francisco Rubio, Universitat Politècnia de València.

Date of data collection: 2020/06/23

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

  • data_articles_journal_list_v2.xlsx: full list of 56 academic journals in which data papers or/and software papers could be published
  • data_articles_journal_list_v2.csv: full list of 56 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 2nd version - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Scimago Journal and Country Rank (SJR)

Total size: 32 KB

Version 1: Description

This dataset contains a list of journals that publish data articles, code, software articles and database articles.

The search strategy in DOAJ and Ulrichsweb was the search for the word data in the title of the journals. Acknowledgements: Xaquín Lores Torres for his invaluable help in preparing this dataset.

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