100+ datasets found
  1. Dream Journal Patterns

    • kaggle.com
    zip
    Updated Jul 24, 2025
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    Ayushi Sharma (2025). Dream Journal Patterns [Dataset]. https://www.kaggle.com/datasets/ayushish12/dream-journal-patterns
    Explore at:
    zip(268779 bytes)Available download formats
    Dataset updated
    Jul 24, 2025
    Authors
    Ayushi Sharma
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    A collection of anonymous, self-reported dream logs capturing emotional states, dream themes (e.g., flying, falling, being chased), sleep patterns, and next-day mood. Useful for exploring connections between subconscious activity, mental well-being, and sleep quality.

  2. e

    List of Top Journals of Pathology Patterns Reviews sorted by citations

    • exaly.com
    csv, json
    Updated Nov 1, 2025
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    (2025). List of Top Journals of Pathology Patterns Reviews sorted by citations [Dataset]. https://exaly.com/journal/43419/pathology-patterns-reviews/top-citing-journals
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Nov 1, 2025
    License

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

    Description

    List of Top Journals of Pathology Patterns Reviews sorted by citations.

  3. e

    List of Top Authors of Journal of Education and Recreation Patterns sorted...

    • exaly.com
    csv, json
    Updated Nov 1, 2025
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    (2025). List of Top Authors of Journal of Education and Recreation Patterns sorted by citations [Dataset]. https://exaly.com/journal/153856/journal-of-education-and-recreation-patterns/top-authors
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Nov 1, 2025
    License

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

    Description

    List of Top Authors of Journal of Education and Recreation Patterns sorted by citations.

  4. c

    Research data supporting “Papers, policy documents and patterns of...

    • repository.cam.ac.uk
    bin, pdf, xlsx
    Updated Sep 23, 2016
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    Cadwallader, Lauren; Altmetric.com (2016). Research data supporting “Papers, policy documents and patterns of attention” [Dataset]. http://doi.org/10.17863/CAM.4584
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    pdf(84898 bytes), xlsx(201684 bytes), xlsx(156100 bytes), bin(18985 bytes)Available download formats
    Dataset updated
    Sep 23, 2016
    Dataset provided by
    Apollo
    University of Cambridge
    Authors
    Cadwallader, Lauren; Altmetric.com
    License

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

    Description

    This is the Altmetric.com data for the set of journal articles used in this research. The data was provided by Altmetric.com, a research metrics company who track and collect the online conversations around millions of scholarly outputs. Altmetric continually monitors a variety of non-traditional sources to provide real-time updates on new mentions and shares of individual research outputs, which are collated and presented to users via Altmetric.com. The data was collated on the 15/08/2016. Any subsequent adjustments to the original data have been made by Dr Lauren Cadwallader and are fully explained in the document.

  5. Predicting the number of citations by article characteristics and tweets.

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 31, 2023
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    Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad (2023). Predicting the number of citations by article characteristics and tweets. [Dataset]. http://doi.org/10.1371/journal.pone.0229446.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad
    License

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

    Description

    Predicting the number of citations by article characteristics and tweets.

  6. Predicting the number of tweets by article characteristics.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad (2023). Predicting the number of tweets by article characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0229446.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad
    License

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

    Description

    Predicting the number of tweets by article characteristics.

  7. e

    Gene Expression Patterns - g-index

    • exaly.com
    csv, json
    Updated Nov 1, 2025
    + more versions
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    (2025). Gene Expression Patterns - g-index [Dataset]. https://exaly.com/journal/20695/gene-expression-patterns/g-index
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    csv, jsonAvailable download formats
    Dataset updated
    Nov 1, 2025
    License

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

    Description

    The graph shows the changes in the g-index of ^ and the corresponding percentile for the sake of comparison with the entire literature. g-index is a scientometric index similar to g-index but put a more weight on the sum of citations. The g-index of a journal is g if the journal has published at least g papers with total citations of g2.

  8. n

    Data from: Gender differences in patterns of authorship do not affect peer...

    • data-staging.niaid.nih.gov
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Sep 22, 2016
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    Charles W. Fox; C. Sean Burns; Anna D. Muncy; Jennifer A. Meyer (2016). Gender differences in patterns of authorship do not affect peer review outcomes at an ecology journal [Dataset]. http://doi.org/10.5061/dryad.0mv3q
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    zipAvailable download formats
    Dataset updated
    Sep 22, 2016
    Dataset provided by
    British Ecological Society
    University of Kentucky
    Authors
    Charles W. Fox; C. Sean Burns; Anna D. Muncy; Jennifer A. Meyer
    License

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

    Description

    There is a widespread perception in the academic community that peer review is subject to many biases and can be influenced by the identity and biographic features (such as gender) of manuscript authors. We examined how patterns of authorship differ between men and women, and whether author gender influences editorial and peer review outcomes and/or the peer review process for papers submitted to the journal Functional Ecology between 2010 and 2014. Women represented approximately a third of all authors on papers submitted to Functional Ecology. Relative to overall frequency of authorship, women were underrepresented as solo authors (26% were women). On multi-authored papers, women were also underrepresented as last/senior authors (25% were women) but overrepresented as first authors (43% were women). Women first authors were less likely than men first authors to serve as corresponding and submitting author of their papers; this difference was not influenced by the gender of the last author. Women were more likely to be authors on papers if the last author was female. Papers with female authors (i) were equally likely to be sent for peer review, (ii) obtained equivalent peer review scores and (iii) were equally likely to be accepted for publication, compared to papers with male authors. There was no evidence that male editors or male reviewers treated papers authored by women differently than did female editors and reviewers, and no evidence that more senior editors reached different decisions than younger editors after review, or cumulative through the entire process, for papers authored by men vs. women. Papers authored by women were more likely to be reviewed by women. This is primarily because women were more likely to be invited to review if the authors on a paper were female than if the authors were male. Patterns of authorship, and the role undertaken as author (e.g., submitting and serving as corresponding author), differ notably between men and women for papers submitted to Functional Ecology. However, consistent with a growing body of literature indicating that peer review underlying the scholarly publishing process is largely gender-neutral, outcomes of editorial and peer review at Functional Ecology were not influenced by author gender.

  9. Latitudinal patterns shelf fauna SCIHUB

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 12, 2020
    + more versions
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    U.S. EPA Office of Research and Development (ORD) (2020). Latitudinal patterns shelf fauna SCIHUB [Dataset]. https://catalog.data.gov/dataset/latitudinal-patterns-shelf-fauna-scihub
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    The dataset includes benthic infaunal abundance data derived from the EPA National Coastal Assessment and Southern California Coastal Water Research Program Bight ’03 studies west coast shelf assessment studies in 2003, that were combined to form a composite data matrix of 255 stations by 1470 taxa. NCA successfully sampled 146 stations from Cape Flattery, WA, to Pt. Conception, CA in the period June 1 - 26, 2003 (NOAA Cruise AR-03-01-NC), with data from one additional NCA station off Santa Catalina Island provided to the study by SCCWRP. Fifty stations each within Washington and Oregon and 47 stations from California were successfully sampled. An additional 110 stations, located within the Channel Islands National Marine Sanctuary (27) and throughout the Southern California Bight (83, Pt. Conception, CA to the Mexican border), were successfully sampled for some or all of the NCA parameters within the target depth range by participants in the Bight ’03 survey (Ranasinghe et al. 2007). Benthic macrofaunal samples were obtained from these 257 stations, but two stations (OR03-0010, CA03-4339) failed quality assurance checks, and the final total included benthic samples from 255 stations. This dataset is associated with the following publication: Henkel, S., and W. Nelson. Assessment of spatial patterns in benthic macrofauna of the U.S. west coast continental shelf. Journal of Biogeography. Blackwell Publishing, Malden, MA, USA, 45(12): 2701-2717, (2018).

  10. n

    Data from: National citation patterns of NEJM, The Lancet, JAMA and The BMJ...

    • data.niaid.nih.gov
    • search.dataone.org
    • +1more
    zip
    Updated Sep 25, 2017
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    Gonzalo Casino; Roser Rius; Erik Cobo (2017). National citation patterns of NEJM, The Lancet, JAMA and The BMJ in the lay press: a quantitative content analysis [Dataset]. http://doi.org/10.5061/dryad.bh576
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    zipAvailable download formats
    Dataset updated
    Sep 25, 2017
    Dataset provided by
    Department of Statistics and Operations Research
    Department of Communications and the Arts
    Authors
    Gonzalo Casino; Roser Rius; Erik Cobo
    License

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

    Description

    Objectives: To analyse the total number of newspaper articles citing the four leading general medical journals and to describe national citation patterns. Design: Quantitative content analysis Setting/sample: Full text of 22 general newspapers in 14 countries over the period 2008-2015, collected from LexisNexis. The 14 countries have been categorized into four regions: US, UK, Western World (EU countries other than UK, and Australia, New Zealand and Canada) and Rest of the World (other countries). Main outcome measure: Press citations of four medical journals (two American: NEJM and JAMA; and two British: The Lancet and The BMJ) in 22 newspapers. Results: British and American newspapers cited some of the four analysed medical journals about three times a week in 2008-2015 (weekly mean 3.2 and 2.7 citations respectively); the newspapers from other Western countries did so about once a week (weekly mean 1.1), and those from the Rest of the World cited them about once a month (monthly mean 1.1). The New York Times cited above all other newspapers (weekly mean 4.7). The analysis showed the existence of three national citation patterns in the daily press: American newspapers cited mostly American journals (70.0% of citations), British newspapers cited mostly British journals (86.5%), and the rest of the analysed press cited more British journals than American ones. The Lancet was the most cited journal in the press of almost all Western countries outside the US and the UK. Multivariate correspondence analysis confirmed the national patterns and showed that over 85% of the citation data variability is retained in just one single new variable: the national dimension. Conclusion: British and American newspapers are the ones that cite the four analysed medical journals more often, showing a domestic preference for their respective national journals; non-British and non-American newspapers show a common international citation pattern.

  11. h

    Data from: response-patterns

    • huggingface.co
    Updated Aug 9, 2024
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    Mendoza Business Analytics, Learning, and Language Lab (2024). response-patterns [Dataset]. https://huggingface.co/datasets/nd-ball/response-patterns
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Mendoza Business Analytics, Learning, and Language Lab
    License

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

    Description

    Response data for "A Psychology-based Unified Dynamic Framework for Curriculum Learning", accepted at Computational Linguistics journal. This data can be used in conjunction with the GitHub repository for the paper.

      Citation
    

    If you use this code, please cite our paper: @article{meng2025psychology, title={A Psychology-based Unified Dynamic Framework for Curriculum Learning}, author={Meng, Guangyu and Zeng, Qinkai and Lalor, John P. and Yu, Hong}, journal={Computational… See the full description on the dataset page: https://huggingface.co/datasets/nd-ball/response-patterns.

  12. d

    Data from: Patterns of functional diversity along latitudinal gradients of...

    • datadryad.org
    • data.niaid.nih.gov
    zip
    Updated Dec 22, 2022
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    Denis Roy; Jonathan Diamond (2022). Patterns of functional diversity along latitudinal gradients of species richness in eleven fish families [Dataset]. http://doi.org/10.5061/dryad.37pvmcvpt
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    zipAvailable download formats
    Dataset updated
    Dec 22, 2022
    Dataset provided by
    Dryad
    Authors
    Denis Roy; Jonathan Diamond
    Time period covered
    Dec 13, 2022
    Description

    Patterns of functional diversity along latitudinal gradients of species richness in eleven fish families This repository comprises the raw data relevant for entry into the scripts that generated the patterns for the manuscript titled: Patterns of functional diversity along latitudinal gradients of species richness in eleven fish families, authored by Jonathan Diamond and Denis Roy, in press with Global Ecology and Biogeography https://onlinelibrary.wiley.com/journal/14668238. You can download the raw data used for this research by clicking on the appropriate files. To process the files as we have for the manuscript, please see the scripts available at the following GitHub script repository: https://github.com/denisroy1/Patterns-of-Functional-Diversity-in-Fishes • Files listed as 'disdffamilyname.txt' correspond to family-specific estimates of functional diversity from the null model with 95% confidence intervals at each latitude. • Files listed 'familyname.txt' represent actual family-l...

  13. Z

    In-Text Citation Patterns of Retracted Papers in Nature Index Journals

    • data.niaid.nih.gov
    Updated Mar 14, 2025
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    Akbulut, Müge (2025). In-Text Citation Patterns of Retracted Papers in Nature Index Journals [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_15023396
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    Dataset updated
    Mar 14, 2025
    Dataset provided by
    Ankara Yıldırım Beyazıt University
    Authors
    Akbulut, Müge
    License

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

    Description

    This dataset analyzes citations to 994 retracted articles published in Nature Index journals. It classifies how these citations are made, the context in which they appear, and how retracted articles continue to be referenced in scientific discourse.

    The dataset includes the following information:

    Type of citation: Indicates whether the citation is supportive, neutral, or critical.

    Cited DOI & Citing DOI: Unique identifiers for the retracted article and the citing paper.

    In-text citation section: Specifies where in the citing paper the citation appears (e.g., introduction, methods, discussion).

    In-text citation statement: The direct citation statement referencing the retracted study in the citing paper.

    Classification of citation statement: Categorization of how the retracted article is cited (e.g., supportive, neutral, critical).

    Metadata of citing papers:

    Title, publication year, authors, journal name, volume, issue, and publisher details.

    Editorial notices (corrections, expressions of concern, or retraction statements).

    Citation statistics:

    Total citing publications: The number of papers citing the retracted article.

    Total citation statements: The total number of individual references to the retracted article across different papers.

    Supporting citations: Citations that endorse the retracted study.

    Mentioning citations: Neutral references to the retracted study.

    Contrasting citations: Citations that criticize or refute the retracted study.

    This dataset provides a comprehensive resource for analyzing how retracted articles continue to receive citations in academic literature.

    Date: March 2025

  14. Distributional and species richness patterns of the stoneflies (Insecta,...

    • demo.gbif.org
    Updated Aug 15, 2025
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    Biodiversity Data Journal (2025). Distributional and species richness patterns of the stoneflies (Insecta, Plecoptera) in New York State: occurrence dataset [Dataset]. http://doi.org/10.15468/hkum7k
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    Dataset updated
    Aug 15, 2025
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Biodiversity Data Journal
    License

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

    Time period covered
    Jul 18, 1882 - Aug 15, 2023
    Area covered
    Description

    The following dataset presents all of the specimen records included in the paper titled: Distributional and species richness patterns of the stoneflies (Insecta, Plecoptera) in New York State. This paper is published in Biodiversity Data Journal. This dataset combines specimen record data from Colorado State University Insect Collection, Lake Champlain Research Institute, New York State Museum, Illinois Natural History Survey Insect Collection, Cornell University Insect Collection, and several other institutional, personal, and literature records. The data includes specimens to their lowest possible taxonomic rank based on identification and determination. The data includes geo-references for all specimens. This data file contains a total of 6553 records, structured in 62 columns of data in DwCA format.

  15. d

    Data from: Patterns of authorship in ecology and evolution: first, last and...

    • datadryad.org
    • data.niaid.nih.gov
    zip
    Updated Sep 12, 2019
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    Charles W. Fox; Josiah P. Ritchey; C.E. Timothy Paine; C. E. Timothy Paine (2019). Patterns of authorship in ecology and evolution: first, last and corresponding authorship vary with gender and geography [Dataset]. http://doi.org/10.5061/dryad.k0h70b0
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 12, 2019
    Dataset provided by
    Dryad
    Authors
    Charles W. Fox; Josiah P. Ritchey; C.E. Timothy Paine; C. E. Timothy Paine
    Time period covered
    Sep 11, 2018
    Description

    Authorship of submitted papers_anonymizedThe submitted papers dataset used for analyses in Fox et al. The dataset has been anonymized by removing author country identifiers (and associated country data), inclusion of which could allow some authors to be identified; the dataset only includes higher level geographic locations.Data for Dryad_anonymized.xlsx

  16. Annonaceae in the Western Pacific: geographic patterns and four new species

    • demo.gbif.org
    • gbif.org
    Updated Nov 26, 2024
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    GBIF (2024). Annonaceae in the Western Pacific: geographic patterns and four new species [Dataset]. http://doi.org/10.5852/ejt.2017.339
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    Dataset updated
    Nov 26, 2024
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    European Journal of Taxonomy
    License

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

    Description

    This dataset contains the digitized treatments in Plazi based on the original journal article Turner, Ian M., Utteridge, Timothy M. A. (2017): Annonaceae in the Western Pacific: geographic patterns and four new species. European Journal of Taxonomy 339: 1-44, DOI: 10.5852/ejt.2017.339

  17. e

    List of Top Institutions of Journal of Education and Recreation Patterns...

    • exaly.com
    csv, json
    Updated Nov 1, 2025
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    (2025). List of Top Institutions of Journal of Education and Recreation Patterns sorted by citations [Dataset]. https://exaly.com/journal/153856/journal-of-education-and-recreation-patterns/top-citing-institutions
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 1, 2025
    License

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

    Description

    List of Top Institutions of Journal of Education and Recreation Patterns sorted by citations.

  18. D

    Supplementary Data: Simulating past land use patterns; the impact of the...

    • dataverse.nl
    Updated May 9, 2018
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    Kleijn, de, Maurice; Kleijn, de, Maurice (2018). Supplementary Data: Simulating past land use patterns; the impact of the Romans on the Lower-Rhine delta in the first century AD [Dataset]. http://doi.org/10.34894/7PFIDN
    Explore at:
    tiff(132378), tiff(132434), tiff(133108), tiff(131790), bin(3445), bin(6898), text/x-fixed-field(17556623), html(4365), tiff(131530), tiff(131024), tiff(130674), tiff(132206), tiff(133126), tiff(161870), tiff(133114), tiff(132976), tiff(130318), bin(5684), bin(74), bin(21214), txt(1705), tiff(132578), bin(6901), tiff(133048), bin(185), tiff(130124), xlsx(48125), xml(825), bin(2055), bin(16018), bin(1936896), tiff(134302), bin(765), tiff(133172), xlsx(45894), html(1045), tiff(132864), tiff(133042), tiff(134214), xml(2714), bin(3252), text/x-fixed-field(49621428), tiff(134004), text/x-fixed-field(49561870), csv(111), txt(5091), tiff(132706), bin(4986), tiff(132282), tiff(130670), bin(3762), tiff(133096), text/x-fixed-field(77516790), bin(113), tiff(133086), bin(3329), tiff(130966), bin(7488), bin(3482), tiff(133166), tiff(134348), tiff(138478), tiff(1019240), tiff(133852), tiff(57682), bin(21231104), csv(77), tiff(132192), bin(18397), bin(158), xlsx(49674), tiff(133116), tiff(1464110), bin(210860), tiff(1900978), bin(92), tiff(133100), tiff(131342), tiff(132710), bin(15221), application/zipped-shapefile(4859), tiff(131742), bin(8375), xlsx(337510), tiff(131724), tiff(133004), tiff(132406), bin(30224), application/zipped-shapefile(790293), tiff(108310), tiff(130726), application/zipped-shapefile(597816), text/x-fixed-field(18100811), tiff(132736), bin(348), tiff(33464), tiff(129892), tiff(132924), tiff(134238), xml(1219), tiff(9376891), tiff(132156), application/zipped-shapefile(6392), csv(112), xml(767), tiff(131474), tiff(14172), bin(214), tiff(132048), tiff(133080), bin(498), tiff(132896), bin(2548), html(8976), tiff(130858), tiff(131486), bin(1140), tiff(133148), tiff(130886), tiff(132360), tiff(131632), tiff(131334), bin(4489), tiff(131756), tiff(133018), tiff(132782), tiff(132744), tiff(131158), tiff(131638), tiff(132450), application/zipped-shapefile(4570), bin(3013), xlsx(343696), tiff(133866), tiff(133112), bin(170), tiff(131440), tiff(134298), tiff(66384), tiff(131634), tiff(132234), tiff(132318), csv(114), tiff(131414), tiff(131792), xml(134), tiff(132968), tiff(131592), tiff(131488), tiff(130976), tiff(130002), tiff(133098), bin(3756), tiff(133744), tiff(131114), bin(5092), tiff(131768), bin(3758), bin(53041), tiff(130892), xlsx(135944), bin(133), tiff(130600), tiff(131476), tiff(132036), tiff(130216), tiff(132682), tiff(132914), tiff(131524), tiff(130776), tiff(133158), tiff(130476), xlsx(159606), bin(7276), tiff(130864), tiff(131694), bin(2890), xml(119), bin(5), tiff(131788), bin(450), tiff(132938), bin(9126), html(1256), bin(374), bin(6281), bin(39094), tiff(131928), tiff(134200), html(19962), tiff(134194), bin(4543), tiff(132456), bin(20281682), tiff(130480), tiff(1947944), text/x-fixed-field(49589778), tiff(130880), tiff(131404)Available download formats
    Dataset updated
    May 9, 2018
    Dataset provided by
    DataverseNL
    Authors
    Kleijn, de, Maurice; Kleijn, de, Maurice
    License

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

    Area covered
    Lower Rhine region
    Description

    This dataset cotains supplementary data for the journal article "Simulating past land use patterns; the impact of the Romans on the Lower-Rhine delta in the first century AD" published in the "Journal of Archaeological Science Research"

  19. d

    Data from: Global biome patterns of the Middle and Late Pleistocene

    • datadryad.org
    • dataone.org
    • +1more
    zip
    Updated Apr 7, 2023
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    Brian Huntley; Judy Allen; Matthew Forrest; Thomas Hickler; Ralf Ohlemüller; Joy Singarayer; Paul Valdes (2023). Global biome patterns of the Middle and Late Pleistocene [Dataset]. http://doi.org/10.5061/dryad.pnvx0k6rw
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    zipAvailable download formats
    Dataset updated
    Apr 7, 2023
    Dataset provided by
    Dryad
    Authors
    Brian Huntley; Judy Allen; Matthew Forrest; Thomas Hickler; Ralf Ohlemüller; Joy Singarayer; Paul Valdes
    Time period covered
    Apr 3, 2023
    Description

    Our primary aim was to assess the hypothesis that distinctive features of the patterns of vegetation change during successive Quaternary glacial–interglacial cycles reflect climatic differences arising from forcing differences. We addressed this hypothesis using 207 half-degree resolution global biome pattern simulations, for time slices between 800 ka and 2 ka, made using the LPJ-GUESS dynamic global vegetation model. Simulations were driven using ice-core atmospheric CO2 concentrations, Earth’s obliquity, and outputs from a pre-industrial and 206 palaeoclimate experiments; four additional simulations were driven using projected future CO2 concentrations. Climate experiments were run using HadCM3. Using a rule-based approach, above-ground biomass and leaf area index of LPJ-GUESS plant functional types were used to infer each grid cell’s biome. The hypothesis is supported by the palaeobiome simulations. To enable comparisons with the climatic forcing, multivariate analyses were performe...

  20. l

    Distributional patterns of native and exotic plant species richness across...

    • datastore.landcareresearch.co.nz
    Updated Apr 4, 2023
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    (2023). Distributional patterns of native and exotic plant species richness across islands in New Zealand - Dataset - DataStore [Dataset]. https://datastore.landcareresearch.co.nz/dataset/distrib-patterns-native-exotic-plants-islands-nz
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    Dataset updated
    Apr 4, 2023
    License

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

    Area covered
    New Zealand
    Description

    Data to support a paper in revision for Journal of Biogeography: Fabio Mologni, Peter J. Bellingham, Even Tjorve, Ewen K. Cameron, Anthony E. Wright, and Kevin C. Burns “Similar yet distinct distributional patterns characterize native and exotic plant species richness across islands in New Zealand”

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Ayushi Sharma (2025). Dream Journal Patterns [Dataset]. https://www.kaggle.com/datasets/ayushish12/dream-journal-patterns
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Dream Journal Patterns

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zip(268779 bytes)Available download formats
Dataset updated
Jul 24, 2025
Authors
Ayushi Sharma
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

A collection of anonymous, self-reported dream logs capturing emotional states, dream themes (e.g., flying, falling, being chased), sleep patterns, and next-day mood. Useful for exploring connections between subconscious activity, mental well-being, and sleep quality.

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