Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
72
datasets available to search
ShareScore release 0.9.0
Dataset results
72 results for “scientific publication”
Database underlying the scientific publication: A global database of seahorse research and innovation, from the beginning to 2022
<p>The present database supports the study "A global database of seahorse research and innovation, from the beginning to 2022". </p> <p>Scientific knowledge on seahorses is rapidly expanding in response to declines in wild populations due to habitat loss and fishing. A plethora of information has accumulated and up until now, a global, publicly available, curated database has never been produced in a transparent and systematic way. Here, we present the largest open-access repository of scientific publications addressing seahorses and, for the first time, of theses and patents. Compilation followed the “Preferred Reporting Items for Systematic reviews and Meta-Analyses” (PRISMA) Statement for systematic reviews and meta-analyses, with modifications. The current repository duplicates the number of scientific publication records found from previous bibliometric/literature/review studies, using three extra repositories of source publications, and a lifetime window, <em>e.i</em>. from the beginning to March 2022. A total of 977 scientific publications, 101 theses and 533 patents are gathered in the dataset, covering 41 seahorse species out of 48 currently recognized. In addition, current work presents for the first time new metrics on authors, institutions, and research subject/field/discipline/thematic, as well as the organism’s stage of development (embryo, newborn, juvenile, subadult and adult). To expand metadata usage, the database was also made available in the Dublin Core™ Metadata Initiative format. This contribution can be used as a core reference for scientists, aquaculturists and conservationists, and is useful to rapidly identify relevant literature and knowledge gaps, better understand seahorse research and discover new trends in seahorse research and innovation.</p> <p>The database is available in two formats:</p> <p>1) <a href="https://zenodo.org/api/files/5651b70d-a7a0-45e6-8ce6-cb92bbe6f7e5/SeahorseBibliometricDatabase.xlsx">SeahorseBibliometricDatabase.xlsx</a></p> <p>and</p> <p>2) <a href="https://zenodo.org/api/files/5651b70d-a7a0-45e6-8ce6-cb92bbe6f7e5/SeahorseBibliometricDatabase_DublinCore.xlsx">SeahorseBibliometricDatabase_DublinCore.xlsx</a>, which is a vocabulary standardized (Dublin Core™ Metadata Initiative) version of the previous one, for metadata reuse.</p>
Data from: A framework for sharing power in research teams and promoting justice in scientific publication
Open the record for dataset details and reuse information.
European high-skilled mobility data and Scientific publication & collaboration data
Open the record for dataset details and reuse information.
FIGURE 2 in Dates of publication of the Zoology parts of the Report of the Scientific Results of the Voyage of H.M.S. Challenger During the Years 1873-76
FIGURE 2. The title-page of the fourth volume of the Zoology of the Report on the Scientific Results of the H.M.S. Challenger During the Years 1873–76. Image from a work no longer in copyright held by the library of the Woods Hole Oceanographic Institute and digitised under the Biodiversity Heritage Library initiative (see text for details). Note, the first line "(Provisional Title)" was removed from the title page of this and successive volumes (see Fig. 1).
FIGURE 1 in Dates of publication of the Zoology parts of the Report of the Scientific Results of the Voyage of H.M.S. Challenger During the Years 1873-76
FIGURE 1. The title-page of the first volume of the Zoology of the Report on the Scientific Results of the H.M.S. Challenger During the Years 1873–76. Image from a work no longer in copyright held by the library of the Woods Hole Oceanographic Institute and digitised under the Biodiversity Heritage Library initiative (see text for details). Note, the first line "(Provisional Title)" was removed from the title page for volume IV and successive volumes (see Fig. 2).
Decoding Knowledge Claims: the Evaluation of Scientific Publication Contributions through Semantic Analysis
<p>This data were used to compute the RWMD distance as described in the study submitted for the STI 2024 conference, Berlin.</p>
Inventory of scientific publications on Distributed Hydrogen Systems from 2000-2023
<p>This Excel sheet contains a comprehensive list of scientific publications on distributed hydrogen systems from the years 2000 to 2023. Each entry includes the following details:</p> <ul> <li><strong>Title</strong>: The title of the publication.</li> <li><strong>Authors</strong>: The names of the authors who contributed to the publication.</li> <li><strong>Year</strong>: The year the publication was released.</li> <li><strong>DOI</strong>: The Digital Object Identifier, providing a unique and permanent link to the publication.</li> <li><strong>Journal Name</strong>: The name of the journal where the publication appeared.</li> <li><strong>Impact Factor</strong>: The impact factor of the journal, indicating its influence and relevance in the scientific community.</li> </ul>
Data and code for scientific publication
Open the record for dataset details and reuse information.
The Rise of Ethical Discussions on Human Remains in Scientific Publications
<p><strong>Presentation Given at the 23rd Annual Conference of the British Association for Biological Anthropology and Osteoarchaeology (BABAO)</strong></p> <p><strong>Abstract (250 words</strong>) Recent years saw a growing interest in ethical considerations associated with excavating, analysing, and curating human remains, leading to a publication increase. This paper explores the reference to ethical issues associated with human remains, aiming to assess emergent trends and significant concerns. Data were retrieved from an online publications database (Dimensions), using a Boolean query to search titles and abstracts mentioning topics related to Ethics and Human Remains. The analysis considered the year of publication, source data, and relevant terms used in the publications aiming to explore emerging patterns. A total of 181 publications were identified, published between 1990 and (July) 2022, with an increase in publications since 2014. Most were published in journals (n=111) the remaining in books and encyclopedias. The most co-occurrence terms were “Archaeology”, “Museum”, “Study”, “Use” and “Collection”. Publication trends showed a higher focus on ethics within archaeology. Not only archaeology was one of the most used terms in titles and abstracts, but archaeological journals had the higher number of publications (3 to 5 papers) on ethics. Although most papers were published in a wide diversity of journals, those usually featured <em>only one or two publications. The most cited article, also with a high atlmetric alternative score, was in aDNA published in 2018. Showing an increasing interest in aDNA by scientists and the public. Results suggest the need for the continuing discussion of ethical matters regarding human remains in biological anthropology, and for journals to feature a higher number of publications on the matter.</em></p> <p><em><strong>Video Also available @<a href="https://www.youtube.com/watch?v=qhvjDnRo48Y">https://www.youtube.com/watch?v=qhvjDnRo48Y</a></strong></em></p>
Publication data for article "Scientific and technological knowledge grows linearly over time"
<p>This dataset includes metadata for academic publications used in the article <em>Scientific and technological knowledge grows linearly over time</em>. The dataset contains citation relationships, publication dates, and academic fields for 213,715,816 publications from 1800 to 2020. These publications cover 292 secondary subjects in 19 major disciplines, including Economics, Biology, Computer Science, Physics, and more. The data are requested from Acemap (https://www.acemap.info, Shanghai Jiao Tong University) and sourced from the last snapshot of Microsoft Academic Graph (MAG) as of December 31, 2021.</p> <p>The dataset includes two gzip-compressed files, which contain all data in CSV format after decompression. Sample data is presented below:</p> <ol> <li>paper_date_refs.csv (paper_date_refs.tar.gz) <ol> <li>paper_id</li> <li>date</li> <li>reference_ids (separated by comma)</li> </ol> </li> <li>field_paper (field_paper.tar.gz) <ol> <li>field_paper/Computer science.csv <ol> <li>paper_id</li> </ol> </li> <li>field_paper/Biology.csv <ol> <li>paper_id</li> </ol> </li> <li>...</li> </ol> </li> </ol>
Data for publication "Wissenschaft fürs Wohnzimmer" - 2 years of weekly interactive, scientific livestreams on YouTube in Journal Polarforschung
<p>Data from the YouTube channel "Wissenschaft fürs Wohnzimmer"</p>
Data set supporting publication "Hydrological Coupling and Decoupling of Hydric Hemi-boreal Forest Sites Inferred from Soil Water Models and Tree-Ring Chronology" by Kalvāns A. and Dauškane I. accepted for publication in the scientific journal Forests
<p>These files are supporting information for the article:</p> <p>Kalvāns, Daukškane (<em>accepted</em>). Hydrological Coupling and Decoupling of Hydric Hemi-boreal Forest Sites Inferred from Soil Water Models and Tree-Ring Chronology. <em>Forests</em></p> <p>The data set comprises following elements:</p> <ol> <li>Hydrus-1D soil water model setup files and calculation results ([1_Hydrus_1D_hydric_forest_soil_water_model_instances.zip]) for two study plots and 12 model instances, with following naming convention: [{Site Identifier}__{proportion of active leaf area index}_kLAI__{forced groundwater exfiltration rate cm/day}_SeepIn_const]. That is model instance named [P1__0.4_kLAI__0.05_SeepIn_const.h1d], considers the study site Plot_1, the active leafe area proportion is 0.4 and it has applied constant rate of groundwater exfiltration at the base of the soil column of 0.05 cm/day. The models are forced by E-OBS v26.0e data set for the period from 1980-01-01 to 2022-06-30.</li> <li>Black alder <em>Alnus glutinosa</em> tree ring chronologies for the two study plots ([2_tree_ring_data.zip])</li> <li>Soil and ground-water observation time series for the two study plots ([3_soil_ground_water_observations.zip])</li> </ol>
Triple-masking v Double-masking: a Trial of Scientific Publication in Public Health
ClinicalTrials.gov study NCT06067633. IPD Sharing: NO. Countries: 1. Publications: 1.
Scientific and public spider observation records from Sweden
Open the record for dataset details and reuse information.
Figure 5 from: Bevilaqua M (2020) Guide to image editing and plates diagrammaking for scientific publications with an emphasis on taxonomy. Zoosystematics and Evolution 96(1): 139-158. https://doi.org/10.3897/zse.96.49225
Figure 5 Docked adjustment Panels. A. History panel; B. Colour panel; C. Character panel; D. Layers panel.
Figure 3 from: Bevilaqua M (2020) Guide to image editing and plates diagrammaking for scientific publications with an emphasis on taxonomy. Zoosystematics and Evolution 96(1): 139-158. https://doi.org/10.3897/zse.96.49225
Figure 3 Tools panel. A. Move tool; B. Marquee tools; C. Lasso tool; D. Magic Wand; E. Spot Healing Brush tool; F. Eraser tool; G. Paint Bucket tool; H. Pen tool; I. Type tool; J. Shape tool.
Figure 27 from: Bevilaqua M (2020) Guide to image editing and plates diagrammaking for scientific publications with an emphasis on taxonomy. Zoosystematics and Evolution 96(1): 139-158. https://doi.org/10.3897/zse.96.49225
Figure 27 Layer panel. A. Icon to link layers; B. Layer group creation icon; C. Layer creation icon.
Figure 26 from: Bevilaqua M (2020) Guide to image editing and plates diagrammaking for scientific publications with an emphasis on taxonomy. Zoosystematics and Evolution 96(1): 139-158. https://doi.org/10.3897/zse.96.49225
Figure 26 Create new document dialogue box. A. Guide containing some presets with document sizes; B. Selected document; C. The name of the file to be created; D. File dimensions (can be expressed in millimetres, centimetres, inches or pixels); E. Orientation of the document (portrait, landscape or square); F. Resolution of the document to be created.
Figure 6 from: Bevilaqua M (2020) Guide to image editing and plates diagrammaking for scientific publications with an emphasis on taxonomy. Zoosystematics and Evolution 96(1): 139-158. https://doi.org/10.3897/zse.96.49225
Figure 6 Camera Raw dialogue box. A. Image adjustment tabs; B. Adjustment sliders; C. General Tools.
Figure 20 from: Bevilaqua M (2020) Guide to image editing and plates diagrammaking for scientific publications with an emphasis on taxonomy. Zoosystematics and Evolution 96(1): 139-158. https://doi.org/10.3897/zse.96.49225
Figure 20 Shape tool properties bar. A. Sets the shape fill colour; B. Sets the stroke colour of the shape; C. Sets the stroke thickness; D. Sets the stroke type; E. If it is a custom shape, it defines which shape is chosen.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.