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zenodo40/100

Figure 17b. from: Eupolybothrus cavernicolus Komerički & Stoev sp. n. (Chilopoda: Lithobiomorpha: Lithobiidae): the first eukaryotic species description combining transcriptomic, DNA barcoding and micro-CT imaging data - Biodiversity Data Journal 1: e1013 (28 October 2013) https://doi.org/10.3897/BDJ.1.e1013

Figure 17b. - Prefemur of male leg 15. From Stoev et al. (2010). Figure 17a. Eupolybothrus tabularum Figure 17b. Eupolybothrus excellens <br> Eupolybothrus excellens

opencc-by-4.0Mar 2017View details →
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Data supplementing article "Transport of riverine material from multiple rivers in the Chesapeake Bay: important control of estuarine circulation on the material distribution" under review at the Journal of Geophysical Research - Biogeoscience

<p>These data supplement the article: Du, J. and J. Shen, Transport of riverine material from multiple rivers in the Chesapeake Bay: important control of estuarine circulation on the material distribution, under review at the Journal Of Geophysical Research: Biogeoscience</p> <p>contact: Jiabi Du, jiabi@vims.edu</p> <p>Below are descriptions of the data files included here:</p> <p>1. Monthly mean tracer output [1985-2014]</p> <p>-netCDF format results for monthly mean tracer concentrations from different sources (Susquehanna, Potomac, Rappahannock, York, James Rivers, and Coastal Ocean)</p> <p>-grid information are also included</p> <p>2. Matlab Scripts For Plotting.zip:</p> <p>-Matlab scripts used to plot the horizontal map, the vertical profile for the along channel section, the vertical profile for cross-channel sections. The script enables users to define the period and section no to plot. </p> <p>3. tracer influx and outflux ratio at 9 cross-section.xls:</p> <p>-an excel file contains the bottom tracer influx ratio and surface tracer outflux ratio for different rivers at different sections. </p>

opencc-by-4.0May 2017View details →
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Data Set for the Journal Article "Automated Preparation of Nanoscopic Structures: Graph-Based Sequence Analysis, Mismatch Detection, and pH-Consistent Protonation with Uncertainty Estimates"

<p>This repository containes the data generated by ASAP and discussed in the journal article [Csizi, K.-S. and Reiher, M., 2023, arXiv:2307.16344], including Cartesian coordinates of training and test set molecules, and MD trajectories.&nbsp;</p>

opencc-by-4.0Nov 2023View details →
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Raw data for Figures 2-4 for journal article: "Experimental Evaluation of the Adhear, a Novel Transcutaneous Bone Conduction Hearing Aid""

<p>This is a data set containing the raw data for figures 2-4 from the journal article:</p> <p>"Experimental Evaluation of the Adhear, a Novel Transcutaneous Bone Conduction Hearing Aid"</p> <p>Original article DOI: 10.1055/a-1308-3888</p> <p>Original article link: https://pubmed.ncbi.nlm.nih.gov/33260222/</p> <p>&nbsp;</p> <p>The data is contained within MATLAB&nbsp; figure (.fig) files, all saved with MATLAB version R2020a.</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2024View details →
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Fig. 6 in European Journal of Taxonomy: a deeper look into a decade of data

Fig. 6. Distribution of relative number of treatments by taxonomic rank. The average Age of Reference is the difference between the specimens cited in the material citations and the publications date.

opencc-by-4.0Dec 2021View details →
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Fig. 4 in European Journal of Taxonomy: a deeper look into a decade of data

Fig. 4. Age of Reference: The average difference of the publication year of an article with those of the publications included in the bibliographic references. Age of Treatment Citations: The average difference between the year of publication of a taxonomic treatment and the cited treatments. New species generally do not include treatment citations. The biggest difference is when a treatment includes the citation of the original treatments by Linnaeus, 1753 for plants or 1758 for animals.

opencc-by-4.0Dec 2021View details →
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Fig. 1 in European Journal of Taxonomy: a deeper look into a decade of data

Fig. 1. Publishing as part of the research life cycle. Once liberated, the data imprisoned in a single PDF immediately becomes an integral part of research and is reused and cited. Green figures illustrate the TreatmentBank workflow to liberate, FAIRize and disseminate data, and the Biodiversity Literature Repository, the long-term repository for the data. GBIF is one of the main reusers of the data, providing specific access to the material citations and making them FAIR. Finally, scientists reuse data from within GBIF for their research, for example new revisions, which then become incorporated in the liberation process, thus closing the research life cycle.

opencc-by-4.0Dec 2021View details →
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Fig. 8 in European Journal of Taxonomy: a deeper look into a decade of data

Fig. 8. Comparison of the location of the study author, the origin of the studied material and the institution or collection where the holotype specimen referenced in the material citation is deposited.

opencc-by-4.0Dec 2021View details →
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Fig. 5 in European Journal of Taxonomy: a deeper look into a decade of data

Fig. 5. Overview of EJT articles and major data liberated by Plazi and made FAIR on Biodiversity Literature Repository (source). The controllers are used to select a specific period.

opencc-by-4.0Dec 2021View details →
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Fig. 2 in European Journal of Taxonomy: a deeper look into a decade of data

Fig. 2. Research within TreatmentBank's Article Collection Statistics to extract the bibliographic references (source: https://tb.plazi.org/GgServer/dioStats)

opencc-by-4.0Dec 2021View details →
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Fig. 7 in European Journal of Taxonomy: a deeper look into a decade of data

Fig. 7. Comparison of the location of the study author, the origin of the studied material and the institution or collection where the specimen referenced in the material citation is deposited.

opencc-by-4.0Dec 2021View details →
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Medical Education Journal Data and Supplemental Files (2000 - 2020)

<p>This is the supplemental data, figures, and tables for&nbsp;<em>The Voices of Medical Education Science: Describing the Landscape</em>. This also includes the author thesaurus and institution thesaurus with supporting read me files.&nbsp;</p> <p><strong>Abstract</strong>&nbsp;</p> <p>Introduction</p> <p>Medical education has been described as a dynamic and growing field, driven in part by its unique body of scholarship. The voices of authors who publish medical education literature have a powerful impact on the discourses of the community. While there have been numerous studies looking at aspects of this literature, there has been no comprehensive view of recent publications.</p> <p>Method</p> <p>The authors conducted a bibliometric analysis of all articles published in 24 medical education journals published between 2000-2020 to identify article characteristics, with an emphasis on author gender, geographic location, and institutional affiliation. This study replicates and greatly expands on two previous investigations by examining all articles published in these core medical education journals.&nbsp;&nbsp;</p> <p>Results&nbsp;</p> <p>The journals published 37,263 articles with the most articles published in 2020 (n=3,957, 10.7%) and least in 2000 (n=711, 1.9%) representing a 456.5% increase. The articles were authored by 139,325 authors of which 62,708 were unique. Men were more prevalent across all authorship positions (n=62,828; 55.7%) than women (n=49,975; 44.3%). Authors listed 154 country affiliations with the United States (n=42,236, 40.4%), United Kingdom (n=12,967, 12.4%), and Canada (n=10,481, 10.0%) most represented. Ninety-three countries (60.4%) were low- or middle-income countries accounting for 9,684 (9.3%) author positions. Few articles were written by multinational teams (n=3,765; 16.2%). Authors listed affiliations with 4,372 unique institutions. Across all author positions, 48,189 authors (46.1%) were affiliated with institutions ranked globally as Top 200 institutions by the Times Higher Education ranking.&nbsp;&nbsp;</p> <p>Discussion&nbsp;</p> <p>There is a relative imbalance of author voices in medical education. If the field values a diversity of perspectives, there is considerable opportunity for improvement.</p>

opencc-by-4.0Feb 2022View details →
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Data to "Evidence for the evolution of eusociality in stem ants and a systematic revision of †Gerontoformica (Hymenoptera: Formicidae)" published in Zoological Journal of the Linnean Society

<p>These are the &micro;CT Datasets used in the study &quot;Evidence for the evolution of eusociality in stem ants and a systematic revision of &dagger;<em>Gerontoformica</em> (Hymenoptera: Formicidae)&quot; published in the Zoological Journal of the linnean society.<br> In the study, an amber piece containing 4 specimens of the stem ant genus &dagger;<em>Gerontoformica </em>was investigated, one of them being a pupa belonging to &dagger;<em>G. gracilis</em> (CASENT0741231), one adult belonging to &dagger;<em>G. gracilis</em> (CASENT0741232) and two adults of the newly described species &dagger;<em>G. sternorhabda</em> (CASENT0741233 and CASENT0741234). The adult specimen of&nbsp;&dagger;<em>G. gracilis</em> (CASENT0741232) had exception internal preservation, so higher magnification scans for anatomical details were performed. The dataset includes full body scans of all of these individuals, adjusted datasets in which the adult specimens were segmented out of the amber matrix (used for the volume renderings in the article) and the two head focused scans of &dagger;<em>G. gracilis</em> (CASENT0741232). The scanning parameters can be taken from the uploaded Scans Metadata Excel file, which is also part of the supplementary material of the related article. The two adult scans of &dagger;<em>G. sternorhabda</em> (CASENT0741233 and CASENT0741234) are in DICOM file format, all other data are in TIFF image format.</p>

opencc-by-4.0Oct 2021View details →
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Replication data for Carleton et al. (Quarterly Journal of Economics, 2022), "Valuing the mortality consequences of climate change accounting for adaptation costs and benefits"

<p>This repository contains replication data for Carleton et al. (Quarterly Journal of Economics, 2022), "Valuing the mortality consequences of climate change accounting for adaptation costs and benefits". All non-confidential data inputs are included, as well as intermediate data outputs, final data outputs, and final tables and figures for all main text and supplementary tables and figures. Some input data are confidential (e.g., mortality records in some countries); therefore, intermediate regression results files are included in the upload to ensure all later stages of the analysis are fully replicable. The full data output files resulting from Monte Carlo simulations of future climate change impacts on mortality far exceed Zenodo file size limits; therefore, key aggregates of the raw output files are included here, which allow for replication of all tables and figures in the paper.</p> <ul> <li><strong>data.zip&nbsp;</strong>contains raw, intermediate, and final datasets</li> <li><strong>outputs.zip&nbsp;</strong>contains output tables and figures&nbsp;</li> </ul> <p>All replication code for the paper is available on a public Github repository, accessible <a href="https://github.com/ClimateImpactLab/carleton_mortality_2022">here</a>.<br><br>The manuscript and supplementary information are available at the QJE, <a href="https://doi.org/10.1093/qje/qjac020">here</a>.</p>

opencc-by-4.0Apr 2022View details →
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Data from journal article "Amplifying effects of recurrent drought on the dynamics of tree growth and water use in a subalpine forest"

<p>This dataset contains all data used in the above mentioned publication (DOI: tba). The data was obtained in a field drought experiment in a subalpine forest in the Austrian Central Alps, where adult trees were exposed to either ambient conditions or recurrent summer drought. The experiment was conducted from 2016-2018. All data were measured on individual tree level. All dataset contains the following, pre-processed data (processed as described in the corresponding journal article):<br> - Micrometeorological data<br> - Dendrometer data<br> - Tree ring data<br> - Sapflow data<br> - Stem electrical resistivity data<br> - Non-structural carbohydrate (NSC) and soluble sugar carbon isotopic composition (d13C) data</p> <p>The metadata.xlsx file contains all metadata, including units and descriptions of the variables.</p>

opencc-by-4.0May 2022View details →
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Data set for the journal article Structural Analysis of Metal Coordination Sites in Single-Atom Catalysts Based on Carbon Nitrides

<p>The data is organized according to the&nbsp;figure in the manuscript.&nbsp;</p>

opencc-by-4.0Mar 2022View details →
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Data for Daudin, Frank & Rapoport « Can internal migration foster the convergence in regional fertility rates? Evidence from 19th century France », Economic Journal (2019), n°620, May, p.1618-1692.

<p>Data for Guillaume Daudin, Rapha&euml;l Franck and Hillel Rapoport &laquo; Can internal migration foster the convergence in regional fertility rates? Evidence from 19th century France &raquo; avec Rapha&euml;l Franck et Hillel Rapoport, Economic Journal (2019), n&deg;620, May, p.1618-1692.</p> <p>Downloading the data will provide you with a .zip file.</p> <p>To understand what is going on, please refer to the paper, its git depository and especially this file : https://github.com/gdaudin/migrations/blob/master/R%C3%A9capitulatif%20des%20do%20-%20Migration.pdf</p> <p>All the migration "matrices" are in Stata format (.dta). They are presented as a list of directed pairs of departments (x gender (variable sexe) and x year (variable annee)).</p> <p>"Matrice_complete_1901+1911.dta" are the migration matrices in the source.<br>"Matrices_TRA_Recens.dta" are the main estimated migration matrices.</p>

opencc-by-4.0Jul 2022View details →
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Data related to NAHAYO et al (2022), to appear in AGU Space Weather Journal (2022SW003092)

<p>Geomagnetic data related to the publication by Nahayo, et al. (2022).</p> <p>The file ending in &quot;event1.csv&quot; is for the first event (October 2003) and the second file, filename ending &quot;event2.csv&quot;&nbsp; for the second event discussed in the paper (March 2015).</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2022View details →
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Supplementary data for Plutniak, S. 2022. "What makes the identity of a scientific method? A history of the 'Structural and analytical typology' in the growth of evolutionary and digital archaeology in southwestern Europe (1950s–2000s)", Journal of Paleolithic Archaeology, vol. 5, 10.

<p>Supplementary data for Plutniak, S. 2022. &ldquo;What makes the Identity of a Scientific Method? A History of the&nbsp; &lsquo;Structural and analytical typology&rsquo; in the Growth of Evolutionary and Digital Archaeology in Southwestern Europe (1950s&ndash;2000s)&rdquo;, <em>Journal of Paleolithic Archaeology</em>. vol 5, 10. DOI: <a href="https://doi.org/10.1007/s41982-022-00119-7">10.1007/s41982-022-00119-7</a>.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2022View details →
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Data archive for the peer-reviewed journal article "Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data"

<p>Data archive accompanying the peer-reviewed journal article &quot;Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data&quot;. This article was accepted for publication in the journal <em>Atmospheric Measurement Techniques</em> in 2022. The original contributions presented in the study are included in the article and its supplementary information. The GRASP-OPEN model was used to perform forward calculations: this model is publicly available on the official GRASP website (https://www.grasp-open.com/; last access: 14 September, 2022). The specific GRASP-OPEN model outputs that were used for the study are contained in this data archive.&nbsp;</p>

opencc-by-4.0Sep 2022View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record