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.
8,537
datasets available to search
ShareScore release 0.9.0
Dataset results
8,537 results for “Openness”
FIGURE. Spring view of the open forests of Quercus faginea subsp. alpestris in a matrix of oromediterranean cushion endemic scrublands dominated by Astragalus nevadensis subsp. andres-molinae and Bupleurum spinosum. (Photo authors). in Vascular flora of the Sierra de las Nieves National Park and its surroundings (Andalusia, Spain)
FIGURE. Spring view of the open forests of Quercus faginea subsp. alpestris in a matrix of oromediterranean cushion endemic scrublands dominated by Astragalus nevadensis subsp. andres-molinae and Bupleurum spinosum. (Photo authors).
SAM-MSCA-Open Data
<p>Dataset containing the results of self-consistent field simulations (SCF) and scattering data for the Marie Sklodowska Curie Action 891084-SAM</p>
Xacro ROS Answers Open Coding
<p>Open coding analysis of Xacro ROS Answers questions and their respective ROS Answer tags.</p>
Subspecies and Distribution. P. g. gymnocercus Fischer, 1814 — subtropical grasslands of NE Argentina, SE Brazil, Paraguay, and Uruguay. P.g. antiquus Ameghino, 1889 — Pampas grasslands, monte scrublands, and open woodlands of C Argentina. P. g. lordi Massoia, 1982 — Chaco-montane tropical forest ecotone in NW Argentina (Salta & Jujuy Provinces). The subspecific status of the Pampas Fox from Entre Rios Province in Argentina remains unclear, and there are no data regarding the taxonomic position of Bolivian foxes. in Canidae
Subspecies and Distribution. P. g. gymnocercus Fischer, 1814 — subtropical grasslands of NE Argentina, SE Brazil, Paraguay, and Uruguay. P.g. antiquus Ameghino, 1889 — Pampas grasslands, monte scrublands, and open woodlands of C Argentina. P. g. lordi Massoia, 1982 — Chaco-montane tropical forest ecotone in NW Argentina (Salta & Jujuy Provinces). The subspecific status of the Pampas Fox from Entre Rios Province in Argentina remains unclear, and there are no data regarding the taxonomic position of Bolivian foxes.
Underlying dataset to the Report on the Open Consultation of the NPOS2030 Ambition Document
<p>This is the underlying dataset to the <a href="https://zenodo.org/record/6106850">Report on the Open Consultation</a> on the NPOS2030 Ambition Document.</p> <p>This dataset contains the original responses to the online Open Consultation that was open between November 22<sup>nd</sup> and December 22<sup>nd</sup> 2021, aiming to give all Netherlands stakeholders the opportunity to reflect on the NPOS2030 Ambition Document of the Netherlands National Programme Open Science (<a href="http://openscience.nl/">NPOS</a>).</p> <p>Out of a total of 78 respondents, 54 institutions, networks, initiatives and persons gave their consent to publish their response including their name. They are listed below. 11 Responses are included on a basis of anonymity: this was sometimes caused by having to ask too many people in a network to give their consent. 13 participants decided to not disclose their responses.</p> <p>NB: Some respondents did say that their responses to the questions about the level of support for each of the four sections of the Ambition Document paint a too negative picture: due to the nature of scoring on a scale of 1-5, they did not see a better way than to give a low score to bring across that they always see ways to improve.</p> <p>The institutions, networks, initiatives and persons gave their consent to publish their response:</p> <ol> <li>4TU.ResearchData</li> <li>Adviescollege Open Science van de hogescholen</li> <li>Amsterdam University of Applied Sciences</li> <li>Avans Hogeschool</li> <li>brief consultation of five senior researchers</li> <li>Centre for Science and Technology Studies (CWTS), Leiden University</li> <li>Dutch Research Council NWO</li> <li>Eindhoven University of Technology</li> <li>Erasmus University Rotterdam </li> <li>Hogeschool Leiden</li> <li>KB, National Library of the Netherlands</li> <li>Maastricht University Recognition & Rewards Programme Team</li> <li>Media voor Vak en Wetenschap (MVW)</li> <li>Medical libraries of the STZ Samenwerkende Topklinische ziekenhuizen</li> <li>Netherlands eScience Center</li> <li>Network of Dutch Open Science Communities: the OSC-NL Board and 60 individual researchers who signed this response</li> <li>NL-RSE (Netherlands Research Software Engineers network)</li> <li>NRO (Nationaal Regieorgaan Onderwijsonderzoek)</li> <li>NWO Institute Organisation</li> <li>ODISSEI (social sciences)</li> <li>Open Science programme of the University of Groningen</li> <li>Open Science Public Engagement Fellow Network, Utrecht University</li> <li>Pedagogische en Onderwijswetenschappen, Faculteit der Maatschappij en Gedragswetenschappen, UvA</li> <li>Promovendi Netwerk Nederland (PNN)</li> <li>PULSAQUA</li> <li>Radboud University</li> <li>Radboudumc Nijmegen</li> <li>Rathenau Instituut</li> <li>Regieorgaan SIA</li> <li>Samenwerkingsverband Universiteitsbibliotheken en Koninklijke Bibliotheek (UKB)</li> <li>SciComNL (Science Communication Association Netherlands)</li> <li>Springer Nature</li> <li>Stuurgroep DCC-PO</li> <li>SURF</li> <li>The Dutch Parkinson's Association</li> <li>The Open Science Community Amsterdam (OSCA). OSCA consists of members from the Amsterdam University of Applied Sciences (HvA), the University of Amsterdam (UvA), the Vrije Universiteit Amsterdam (VU) and the Student Initiative for Open Science (SIOS).</li> <li>Three open science specialists at Utrecht University Library: Bianca Kramer, Jeroen Sondervan and Jeroen Bosman</li> <li>Tilburg University Open Science Focus Group</li> <li>TU Delft</li> <li>Universiteit Leiden</li> <li>University of Amsterdam</li> <li>University of Twente</li> <li>Utrecht University Freudenthal Institute Science Communication and Public Engagement group</li> <li>Vrije Universiteit Amsterdam</li> <li>Zone "Towards digital (open) educational resources" from the Dutch Acceleration Plan</li> <li>Prof.dr. Karin Pfeffer</li> <li>Drs Marina Noordegraaf</li> <li>Mr. Niels van Tol</li> <li>Dr. Egon Willighagen</li> <li>Drs (Msc) Gaby Lutgens</li> <li>Jeroen Jansen</li> <li>Dr. Miaomiao Zhou</li> <li>Prof.dr. René Bekkers</li> <li>Dr.ir. Rolf Hut</li> </ol>
Tracking openness and topic evolution of COVID-19 publications: a comprehensive analysis (January 2020- March 2021)
<p>Underlying raw data of the article: "Tracking openness and topic evolution of COVID-19 publications: a comprehensive analysis (January 2020- March 2021)". </p> <p>Data was extracted from LENS considering only PubMed database. </p> <p> </p> <p> </p>
FIGURE. Floral habit and structure of C. spongifolia. A. Type specimen in situ with open, spathe limb (apex is reflexed out of view), and green spathe tube (ca. 6 cm long). B. Adjacent plant with inflorescences and prophylls. C. Spadix showing from top: sterile appendix, staminate (male) zone, sterile interstice, and green pistillate (female) zone with tapered, conical form. D. Detail of female zone showing a few basal staminodes. E–G. Berries of the preserved type specimen. G. Dissected berry with orthotropous ovules (some outlined) attached by funicles to parietal placentae (arrows). H. Surface of male zone showing closely-packed synandria. I. Synandria separated to show fused anther sacs beneath apical pores (example in center has 8 pores, 8 anthers) J. Mature fruiting head, with single berry removed to show seed packing and 67 seeds extracted (scale bar units: 1 mm) (Bach Ma NP; type 2020; fruit and seeds 2018). Photos: NVD and PJM. in Colocasia spongifolia sp. nov. (Araceae) in southern China and central Vietnam
FIGURE. Floral habit and structure of C. spongifolia. A. Type specimen in situ with open, spathe limb (apex is reflexed out of view), and green spathe tube (ca. 6 cm long). B. Adjacent plant with inflorescences and prophylls. C. Spadix showing from top: sterile appendix, staminate (male) zone, sterile interstice, and green pistillate (female) zone with tapered, conical form. D. Detail of female zone showing a few basal staminodes. E–G. Berries of the preserved type specimen. G. Dissected berry with orthotropous ovules (some outlined) attached by funicles to parietal placentae (arrows). H. Surface of male zone showing closely-packed synandria. I. Synandria separated to show fused anther sacs beneath apical pores (example in center has 8 pores, 8 anthers) J. Mature fruiting head, with single berry removed to show seed packing and 67 seeds extracted (scale bar units: 1 mm) (Bach Ma NP; type 2020; fruit and seeds 2018). Photos: NVD and PJM.
INFORE22 sea trial open dataset
<p>Data have been generated during the INFORE22 sea trial, run by CMRE from 21st February to 1st March 2022 in the Gulf of La Spezia to experiment and validate the CMRE hybrid robotic network in support of the INFORE maritime use case [*].</p> <p>The dataset, which covers two days of experiments (28 February and 1 March 2022), includes:</p> <p>- GPS NMEA positions of targets</p> <p>- Target contact messages from marine autonomous robots</p> <p>- Thermal camera video streams with metadata on detected targets</p> <p>- AIS data (log of NMEA messages, processed messages, maps of vessel positions), showing vessel traffic in the Gulf of La Spezia during the experiments</p> <p>This dataset, is complemented by a Raw acoustic data from SliTa array towed on AUVs (and Matlab reader) published by the authors in Zenodo https://zenodo.org/record/6375048. </p> <p>For a full description of the dataset, see [**]</p> <p><strong>Conditions for use and distributions</strong></p> <p>This dataset is provided by NATO STO CMRE within the condition stated in the H2020 INFORE Grant and Consortium Agreement (GA. no. 825070) . The creation of derived products, as well the use in scientific publications must be pre-approved by CMRE and acknowledged. </p> <p><strong>Non liability clause</strong></p> <p>These data and software are provided in the scope of INFORE by NATO STO CMRE, in compliance with the INFORE open data strategy. Data and software are provided as they are. NATO and NATO STO CMRE decline any responsibility for bugs and any damage or accidental issue that the use of those data and software could cause. </p> <p><strong>References</strong></p> <p>[*] Gabriele Ferri, Raffaele Grasso, Elena Camossi, Francesca de Rosa, Alessandro Faggiani, Kevin LePage, Konstantina Bereta, Marios Vodas, Dimitris Kladis, Antonis Kontaxakis, Nikos Giatrakos, Antonios Deligiannakis, Maritime Use Case: Final Evaluation Report Work Package 3 Tasks 3.3 INFORE Deliverable D3.3</p> <p>[**] Nikos Giatrakos, Antonios Deligiannakis, Arnau Montagud, Miguel Ponce de León, Thaleia Ntiniakou, Holger Arndt, Stefan Burkard, Konstantina Bereta, Marios Vodas, Dimitris Kladis, Raffaele Grasso, Gabriele Ferri, Arjan Vermeij, Alessandro Faggiani, Elena Camossi, Kevin Le Page: Data Management Plan V3 Work Package 8 Task 8.3 INFORE Deliverable 8.6</p>
Revisiting reopened bugs in open source software systems
<p>Reopened bugs can degrade the overall quality of a software system since they require unnecessary rework by developers. Moreover, reopened bugs also lead to a loss of trust in the end-users regarding the quality of the software. Thus, predicting bugs that might be reopened could be extremely helpful for software developers to avoid rework. Prior studies on reopened bug prediction focus only on three open source projects (i.e., Apache, Eclipse, and OpenOffice) to generate insights. We observe that one out of the three projects (i.e., Apache) has a data leak issue -- the bug status of \textit{reopened} was included as training data to predict reopened bugs. In addition, prior studies used an outdated prediction model pipeline (i.e., with old techniques for constructing a prediction model) to predict reopened bugs. Therefore, we revisit the reopened bugs study on a large scale dataset consisting of 47 projects tracked by JIRA using the modern techniques such as SMOTE, permutation importance together with 7 different machine learning models. We study the reopened bugs using a mixed methods approach (i.e., both quantitative and qualitative study). We find that: 1) After using an updated reopened bug prediction model pipeline, only 34\% projects give an acceptable performance with AUC $\geqslant$ 0.7. 2) There are four major reasons for a bug getting reopened, that is, technical (i.e., patch/integration issues), documentation, human (i.e., due to incorrect bug assessment), and reasons not shown in the bug reports. 3) In projects with an acceptable AUC, 94\% of the reopened bugs are due to patch issues (i.e., the usage of an incorrect patch) identified before bug reopening. Our study revisits reopened bugs and provides new insights into developer's bug reopening activities.<br> </p>
Environmental DNA provides quantitative estimates of Pacific hake abundance and distribution in the open ocean.
<p>All species inevitably leave genetic traces in their environments, and the resulting environmental DNA (eDNA) reflects the species present in a given habitat. It remains unclear whether eDNA signals can provide quantitative metrics of abundance on which human livelihoods or conservation successes depend. Here, we report the results of a large eDNA ocean survey (spanning 86,000 km<sup>2</sup> to depths of 500m) to understand the abundance and distribution of Pacific hake <em>Merluccius </em><em>productus</em>, the target of the largest finfish fishery along the west coast of the United States. We sampled eDNA in parallel with a traditional acoustic-trawl survey to assess the value of eDNA surveys at a scale relevant to fisheries management. Despite local differences, the two methods yield comparable information about the broad-scale spatial distribution and abundance. Furthermore, we find depth and spatial patterns of eDNA closely correspond to acoustic-trawl estimates for hake. We demonstrate the power and efficacy of eDNA sampling for estimating abundance and distribution and move the analysis eDNA data beyond sample-to-sample comparisons to management relevant scales. We posit that eDNA methods are capable of providing general quantitative applications that will prove especially valuable in data- or resource-limited contexts.</p>
Replication package for "Blended Modeling in Commercial and Open-source Model-Driven Software Engineering Tools: A Systematic Study"
<p>Replication package for the paper <em>Blended Modeling in Commercial and Open-source Model-Driven Software Engineering Tools: A Systematic Study</em>.</p> <p>Protocol</p> <ul> <li><code>/01-protocol/protocol.pdf</code></li> </ul> <p>Data & analysis scripts</p> <p>This replication package is structured as follows:</p> <ul> <li><code>/02-search</code> - Detailed data on the <code>/academic</code> and <code>/grey literature</code> search.</li> <li><code>/03-tools</code> - Identified tools and inclusion/exclusion decisions.</li> <li><code>/04-classification_schema</code> - Classification framework and the corresponding data extraction form.</li> <li><code>/05-data</code> - Clean data in a processable form.</li> <li><code>/06-analysis</code> - Analysis scripts and results.</li> </ul>
Linked Pipe: Linked Open Time
<p>A Linked Pipe for Linked Open Time using R, Alligator and AMT.</p>
Data Bundle for PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System
<p>While small data files used in PyPSA-Eur-Sec are included directly in the git repository, larger ones are collected in this data bundle. The data bundle’s size is around 680 MB.</p> <p><strong>Licenses</strong></p> <p>Different licenses apply to the various components of this data bundle (mostly attribution).</p> <p>For details see <a href="https://pypsa-eur-sec.readthedocs.io/en/latest/installation.html#data-requirements">https://pypsa-eur-sec.readthedocs.io/en/latest/installation.html#data-requirements</a></p> <p><strong>Changelog 0.3.1</strong></p> <ul> <li>Fix IRENASTAT encoding</li> </ul> <p><strong>Changelog 0.3.0</strong></p> <ul> <li>Add <a href="https://pxweb.irena.org/pxweb/en/IRENASTAT">IRENASTAT</a> country-level power generation capacities.</li> </ul> <p><strong>Changelog 0.2.0</strong></p> <ul> <li>add hydrogen salt cavern storage potential (h2_salt_caverns_GWh_per_sqkm.geojson)</li> </ul> <p> </p>
French verbal frequencies in the Open Subtitle corpus
<p>This repository provides frequencies for French verbal paradigm cells in the French Open Subtitles Corpus.</p>
DAPSI Open Call2-Subgrantees Dataset
<p>This file contains the main data from the awarded applicants in the second open call of the NGI-DAPSI Programme funded under the GA 871498.</p>
Fire exclusion changes belowground bud bank and bud-bearing organ composition jeopardizing open savanna resilience
<p>Dataset from the article: Bombo, A.B.; Appezzato-da-Glória, B.; Fidelis, A. (2022) Fire exclusion changes belowground bud bank and bud-bearing organ composition jeopardizing open savanna resilience. <em>Oecologia</em> DOI 10.1007/s00442-022-05172-1, Article type: Community ecology – original research.</p>
Data Supplement: Open-source model-based reconstruction in Julia (ISMRM 2022)
<p>Dataset to accompany the abstract presented at ISMRM 2022:</p> <p>Open-source model-based reconstruction in Julia: A pipeline for spiral diffusion imaging</p> <p>Instructions after download are found at the github link for the project.</p>
Molecular Dynamics snapshots of the Glycine receptor MD-open state
<p>Molecular Dynamics snapshots (10 files .pdb) of the Glycine receptor MD-open state full-length, used in computational electrophysiology experiments to explore conductance and permeation pathways.</p> <p> </p> <p>Associated with:</p> <p>“Lateral fenestrations in the extracellular domain of the glycine receptor contribute to the<br> main chloride permeation pathway”</p> <p>Adrien H. Cerdan, Laurie Peverini, Jean-Pierre Changeux, Pierre-Jean Corringer, Marco Cecchini</p>
Open Science Capacity Building in Africa
<p>List about Open Science Capacity Building stakeholders in Africa that were shared during the <a href="https://events.unesco.org/event?id=4075814764&lang=1033">First meeting of the Working Group on Open Science Capacity Building</a> hosted by UNESCO.</p>
Attitudes of Health Care Professionals Toward Older Adults' Abilities to Use Digital Technology: Open Access Data Sets
<p>Open access dataset related to 2 studies published under:</p> <p>Mannheim I, Wouters EJM, van Boekel LC, van Zaalen Y<br> Attitudes of Health Care Professionals Toward Older Adults’ Abilities to Use Digital Technology: Questionnaire Study<br> J Med Internet Res 2021;23(4):e26232<br> URL: https://www.jmir.org/2021/4/e26232<br> doi: 10.2196/26232</p>
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.