Skip to main content
Powered by ShareScore

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.

3,172

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

3,172 results for “public”

Learn how ShareScore rates datasets ↗
zenodo28/100

Figure 30 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 30 Finished figure containing all edited and cleaned images, evidence elements, scale bars and numbering

opencc-by-4.0May 2020View details →
zenodo28/100

Figure 22 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 22 Method for creating a new scale using selection tools. Highlight the Closed Selection Tools group.

opencc-by-4.0May 2020View details →
zenodo28/100

Figure 18 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 18 Image with completely erased background and a new coloured layer serving as a completely new homogeneous background.

opencc-by-4.0May 2020View details →
zenodo28/100

Figure 12 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 12 Image containing dust particles where the background is not completely homogeneous. Highlight the padlock icon that can lock or unlock the layer.

opencc-by-4.0May 2020View details →
zenodo28/100

Figure 10 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 10 Unwanted elements in the image with highlighted dust particles, remnants from the insect collection and shadow spots.

opencc-by-4.0May 2020View details →
zenodo28/100

Figure 1 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 1 Default Photoshop workspace. A. Tabbed document windows; B. Control panel; C. Tools; D. Panel groups in vertical dock.

opencc-by-4.0May 2020View details →
zenodo28/100

The trend of morbidity and mortality of Coronavirus disease 2019 under the first-level public health emergency response in China

<p>This is our data for the article titled &quot;The trend of morbidity and mortality of Coronavirus disease 2019 under the first-level public health emergency response in China&quot;. All the data were publically available. In detail, data in China were collected from the daily epidemic reports released by Chinese national and provincial health commissions (http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml.). Outside China, data were collected from daily situation reports by World Health Organization including cumulative confirmed and death cases (https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports/.).</p>

opencc-by-4.0May 2020View details →
zenodo28/100

List of the main marine and coastal habitats detected in Marine Protected Areas and Key Biodiversity Areas of countries around the Alboran Sea, with annotations on the year on which the habitat was listed or publications related on the habitats

<p>List of the main marine and coastal habitats detected in Marine Protected Areas and Key Biodiversity Areas of countries around the Alboran Sea, with annotations on the year on which the habitat was listed or publications related on the habitats. Biosph Res: Biosphera Reserve; MP: Management Plan; NA: Natural Area; NatP: National Park; NP: Natural Park; RCP: R&eacute;serve de Chasse Permanenten; RH: Permanent Reserve of Hunting; RN: R&eacute;serve Naturelle; SAC: Special Area of Conservation; SBEI: Sites of Biological and Ecological Interest; SCI: Site of Community Importance of Natura 2000; SPAMI: Specially Protected Areas of Mediterranean Importance; LIC: Lugar de Importancia Comunitaria; ZEC: Zona de Especial Conservaci&oacute;n; ZEPIM: Zona Especialmente Protegida de Importancia para el Mediterr&aacute;ne; ASPIM: Aires Sp&eacute;cialement Prot&eacute;g&eacute;es d&rsquo;Importance M&eacute;diterran&eacute;enne; SIBE: Sites d&rsquo;Int&eacute;r&ecirc;t Biologique et Ecologique</p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

msr2020_new_pullreq_public

<p>This is the dataset with public access&nbsp;for MSR 2020 data showcase paper <em>&quot;On the Shoulders of Giants: A New Dataset for Pull-based Development Research&quot; ,</em>&nbsp;where both the pull request id on Github and GHTorrent are deleted. The reason to do this is because there are some person related factors in the dataset (country, affiliation, personality and etc). By deleting the pull request id, users cannot get the personal information.</p> <p>Please use the latest version and only use it for research.</p> <p>If you want to use these information for&nbsp;further research, please see the dataset <a href="https://zenodo.org/record/3923083#.Xvpg8i90e8o"><em>msr2020_new_pullreq_restricted</em></a></p>

opencc-by-4.0Mar 2020View details →
zenodo28/100

Public Dataset for the Paper "Using Hybrid Bayesian Networks to Detect Audience Behaviour Changes in Youtube"

<p>This is the dataset used in the production of the paper &quot;Using Hybrid Bayesian Networks to Detect Audience Behaviour Changes in Youtube&quot; to be published in the EMSS 2020. Official site:&nbsp;http://www.msc-les.org/conf/emss2020/</p>

opencc-by-4.0Jul 2020View details →
zenodo28/100

Austrian Science Fund (FWF) Publication Cost Data 2019

<p>The following data set provides information on the publication costs spent by&nbsp;the Austrian Science Fund (FWF) via&nbsp;the programmes Peer-reviewed Publications (<a href="https://www.fwf.ac.at/en/research-funding/fwf-programmes/peer-reviewed-publications/">https://www.fwf.ac.at/en/research-funding/fwf-programmes/peer-reviewed-publications/</a>) and Stand-Alone Publications (<a href="https://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-publications/">https://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-publications/</a>)&nbsp;in 2019.</p>

opencc-by-4.0Jul 2020View details →
zenodo28/100

Data for the publication 'The impact of warm and moist air mass perturbations on Arctic mixed-phase stratocumulus'

<p>This repository contains the data for the paper: &#39;Eirund, G. K., Possner, A. and Lohmann, U.: The impact of warm and moist air mass perturbations on Arctic mixed-phase stratocumulus.&#39;, published in&nbsp;J. Climate, 2020 (doi: 10.1175/JCLI-D-20-0163.1.).</p> <p>Each netcdf file contains the data for the respective simulation indicated by the prefix of the filename. Important information on the data are included in the README file.</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2020View details →
zenodo28/100

Numerical model output data for publication "Control of the oceanic heat content of the Getz-Dotson Trough, Antarctica, by the Amundsen Sea Low"

<p>Contains MITgcm model output data to reproduce the analyses of the paper &quot;Control of the oceanic heat content of the Getz-Dotson Trough, Antarctica, by the Amundsen Sea Low&quot;, by Dotto and co-authors, published in&nbsp;Journal of Geophysical Research-Oceans (doi: 10.1029/2020JC016113). The model simulation is presented and described in Kimura et al. (2017; doi:&nbsp;10.1002/2017JC012926) and in Dotto et al. (2019; doi: 10.1175/JPO-D-19-0064.s1).&nbsp;See the &#39;ReadMe.txt&#39; file for a description of the data.&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2020View details →
zenodo28/100

Données de l'enquête Les pratiques de publications et d'accès ouvert des chercheurs français

<p>Les donn&eacute;es de l&#39;enqu&ecirc;te &quot;Les pratiques de publications et d&rsquo;acc&egrave;s ouvert des chercheurs fran&ccedil;ais&quot; sont pr&eacute;sent&eacute;es dans ce jeu de donn&eacute;es.<br> Les r&eacute;sultats de l&#39;enqu&ecirc;te ont fait l&#39;objet d&#39;une publication diffus&eacute;e dans HAL : https://hal.archives-ouvertes.fr/cea-02450324v2</p> <p>Data from the survey Publication and open access practices of French researchers in 2019 are presented in this dataset.</p> <p>The results of the survey were published in HAL: https://hal.archives-ouvertes.fr/cea-02450324v2</p>

opencc-by-4.0Jul 2020View details →
zenodo28/100

Open Access of COVID-19 related publications in the first quarter of 2020: a preliminary study based in PubMed

<p>Underlying data of the article: &quot;Open Access of COVID-19 related publications in the first quarter of 2020: a preliminary study based in PubMed&quot;. Version 1 and Version 2 (after Unpaywall update).</p> <p>Data was analysed using Unpaywall and OpenRefine.</p>

opencc-by-4.0May 2020View details →
zenodo28/100

Composite 2D video clip of first public demonstration of an early AVA360VR prototype

<p>In this 2D video clip, which is a composite of four videos, we see an extract from the first live public demonstration of an early <em>AVA360VR </em>prototype to a workshop group at the <em>Big Video Sprint</em> conference in November 2017. The demonstration shows two analysts working on recorded camerawork training session video data, simulating collaboration at a distance. Other video inserts show the audience or the analyst from another camera angle.</p> <p><em>AVA360VR </em>(Annotate, Visualise, Analyse 360&deg; video in VR) is a VR software tool developed by the BigSoftVideo team at Aalborg University. The aim is to support &lsquo;inhabiting&rsquo; 360-degree video data &ndash; that is, to explore complex spatial video and audio recordings of a scene in which social interaction took place through a tangible interface in virtual reality.</p>

opencc-by-nc-nd-4.0Oct 2018View details →
zenodo28/100

Data associated with the publication titled The impact of resolving sub-kilometer processes on aerosol-cloud interactions in global model simulations

<p>Datasets and scripts that are used in the journal article The impact of resolving sub-kilometer processes on aerosol-cloud interactions in global model simulations</p>

opencc-by-4.0Sep 2020View details →
zenodo28/100

Viewing the US presidential electoral map through the lens of public health

<p>Data for the publication:&nbsp;Viewing the US presidential electoral map through the lens of public health</p>

opencc-by-4.0Aug 2020View details →
zenodo28/100

Replication materials for "The Impact of a National Research Assessment on the Publications of Sociologists in Italy" to appear in Science and Public Policy

<p>Replication materials for &quot;The Impact of a National Research Assessment on the Publications of Sociologists in Italy&quot; to appear in Science and Public Policy</p> <p>DOI: 10.1093/scipol/scab013</p> <p><strong>More information on data on GitHub page</strong>:&nbsp;https://github.com/akbaritabar/SPP-ANVUR-sociologists-2021</p> <p>&nbsp;</p> <p><strong>Introduction to data</strong></p> <p>Data were collected from Scopus in September 2016 and included all records published by Italian sociologists between 2006 and 2015. This period covered five full years before and after ANVUR, whose original call for participation was on 7 November 2011. By considering five years before and after the call, we aimed to trace pre-existing behaviour and examine scientists&rsquo; reactions to institutional policies.</p>

openother-openAug 2020View details →
zenodo28/100

Data for Publication "Prevalence of Cranial Trauma in Eurasian Upper Paleolithic Humans"

<p>Data for Publication: J. Beier, N. Anthes, J. Wahl, K. Harvati,&nbsp;Prevalence of Cranial Trauma in Eurasian Upper Paleolithic Humans. <em>American Journal of Physical Anthropology</em>. DOI: 10.1002/ajpa.24163</p>

opencc-by-4.0Aug 2020View details →

ScienceDex guides

Understand access before you commit

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

Compare curated 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.

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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.