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96 results for “contributor”
Software Contributor Roles Crosswalk
<p>Initial version of a crosswalk of software contributor roles taxonomies, models, schemes, etc.</p> <p>Created during a <a href="https://software.ac.uk/cw23">Collaborations Workshop 2023</a> hack activity.</p>
Pull request contributors analysis dataset
<p>Dataset for the paper: G. Gousios, M.-A. Storey, and A. Bacchelli, “Work Practices and Challenges in Pull-Based Development: The Contributor’s Perspective,” in Proceedings of the 38th International Conference on Software Engineering, 2016.</p>
Data licences and organization type of contributors to the Global Biodiversity Information Facility as of 19 January 2016
<p>Data from the Global Biodiversity Information Facility were extracted using R (version 3.2.0) on 9 July 2015 using the rgbif package (version 0.9.0) (Chamberlain, S., Ram, K., Barve, V. & Mcglinn, D. (2015) Package ‘rgbif’: Interface to the Global 'Biodiversity' Information Facility 'API' http://cran.r-project.org/web/packages/rgbif/rgbif.pdf). The ‘rights’ statements was extracted for all occurrence datasets with one or more observations. A total of 12,458 datasets were extracted, but only about 11% of the datasets have an explicit data-useage-rights statement at the dataset level. However, some datasets use the occurrence level ‘rights’ and ‘accessRights’ fields. To extract these data the rights information was obtained from the first record of each dataset where a rights statement was missing at the dataset level.</p> <p>The datasets were categorized into 13 different types depending on the origin of the observations.</p> <ol> <li>Biodiversity Information Facility or data centre</li> <li>Botanical Garden or Herbarium</li> <li>Citizen science</li> <li>Commercial</li> <li>Data publisher</li> <li>Educational</li> <li>Government</li> <li>Museum</li> <li>Network</li> <li>Parks Authority or Nature Reserve</li> <li>Research institution</li> <li>Society</li> <li>Foundations</li> </ol>
How to choose a task? Mismatches in perspectives of newcomers and existing contributors
<p>Dataset for the paper: How to choose a task? Mismatches in perspectives of newcomers and existing contributors</p>
Supporting data: "Uncertainty in sea level rise projections due to the dependence between contributors"
<p>These files contain the data analyzed in Le Bars 2018. The paper is available on EarthArXiv (https://eartharxiv.org/uvw3s/) and was submitted to Earth's Future.</p> <p>The NetCDF files contain the Probability Density Functions output from the Probabilistic Sea Level Projection (PSLP) model version 1.</p> <p>Simulations are:<br> IPCC1: The control IPCC AR5 simulation<br> IPCC2: The same but assuming independence between sea level contributors<br> IPCC3: The same but assuming correlation of 1 between sea level contributors<br> Prob1: The control simulation from the probabilistic model<br> Prob2: Assuming independence<br> Prob3: Assuming correlation of 1 between sea level contributors<br> Prob4: Low dependence case<br> Prob5: High dependence case<br> Prob6 to Prob9: Sensitivity experiments replacing each contributor by its expected value.</p> <p>The matrices of Spearman correlation for year 2100 for all experiments are called: <br> SpearmanCorr_namelist*_*.txt</p> <p>The Table*.txt files contain the data used to make tables of sea level percentiles in the paper.</p> <p>The pdf files contain the figures used in the paper and additional pannels not included in the paper.</p> <p>Reference:<br> Le Bars, D. (2018, March 8). Uncertainty in sea level rise projections due to the dependence between contributors. http://doi.org/10.17605/OSF.IO/UVW3S</p>
Mask or Enhance: Data Curation Aiding the Discovery of Piezoresponse Force Microscopy Contributors
<p>This repository contains the data used in the corresponding study:</p> <p>Mask or Enhance: Data Curation Aiding the Discovery of Piezoresponse Force Microscopy Contributors</p> <p><strong>Abstract</strong></p> <p>Piezoresponse force microscopy (PFM) is routinely used to probe the nanoscale electromechanical response of ferroelectric and piezoelectric materials. However, many challenges remain in the interpretation of the recovered signal. Specifically, many non-ferroelectric contributions affect the measured response, ranging from electrostatics, to charge injection and trapping, and topographic cross-talk. Recently, machine learning (ML) has been utilized to identify multiple contributors within complex data systems, such as PFM response. A substantial advancement in ML approaches for PFM techniques is offered by dimensional stacking, enabling encoding of physical and/or chemical correlations within the materials’ response across different data dimensions spanning varying ranges. However, dimensional stacking requires appropriate scaling for each dimension (before ML analysis) to minimize undesired information loss. Here, the impact of clustering globally and locally scaled parameters in polarization switching experiments via resonant PFM (RPFM) are discussed. Specifically, dimensional stacking of scaled parameters can mask or enhance ferroelectric and non-ferroelectric behaviors, and aid identification of various physical phenomena contributing to the measured RPFM response. This study highlights the importance of data curation for ML, and its role in identifying signal contributors to scanning probe microscopy (SPM)-based techniques with multidimensional data, such as resonant and/or spectroscopic SPM.</p>
Restriction of access to the central cavity is a major contributor to substrate selectivity in plant ABCG transporters
<p>The input and main output files used for the paper <em><strong>"Restriction of access to the central cavity is a major contributor to substrate selectivity in plant ABCG transporters"</strong></em> are separated in the different tar files depending the MD stage they belong to.</p> <p><strong>Content</strong></p> <p>00_AlphaFold2: The models predicted from AlphaFold2</p> <p>01_build_system: The parameters for ATP and the initial pdb file used to build each system</p> <p>02_minimization: Minimization input files for each variant</p> <p>03_equilibration: Equilibration input files for each variant</p> <p>04_long_equilibration: ATP restrained equilibration input files for each variant</p> <p>05_free_equilibration: Free equilibration input files for each variant</p> <p>06_production: Free production input files for each variant</p> <p>07_caver: Caver calculations for each variant and replica</p> <p>08_transport_tools: Analysis of tunnel networks using TransportTools software</p> <p>09_tunnel_selection: Selection of the tunnels with widest bottleneck radius to perform CaverDock experiments</p> <p>10_caverdock: CaverDock calculations for each variant and for each ligand tested</p> <p>11_membrane_patch: MD simulations for liquiritigenin and POPC membrane only</p> <p>12_MD_analysis: Calculations of RMSD, RMSF of each system. Calculation of helical parameters for trans-membrane helices 2, 5, 8 and 11 (not for APO). Calculation of X1 and X2 angles for residue N1331 in each variant (not for APO)</p> <p>13_US_closed_to_open: Umbrella Sampling simulations to obtain the inward facing (IF) open state of each variant. Not used for PMF analysis.</p> <p>14_US_opening_energy: Umbrella Sampling simulations to obtain the Potential of Mean Force for the transition from IF-closed to IF-open conformations.</p> <p>15_US_equilibration: Equilibration input files for WT and F562L variants in IF-open states.</p> <p>16_US_production: Production input files for WT and F562L variants in IF-open states.</p> <p>17_US_caver: Caver calculations for WT and F562L variants in IF-open states.</p> <p>18_US_transport_tools: Analysis of tunnel networks using TransportTools software of WT and F562L variants in IF-open states.</p> <p>19_US_tunnel_selection: Selection of the tunnels with widest bottleneck radius to perform CaverDock experiments for WT and F562L variants in IF-open states.</p> <p>20_US_caverdock: CaverDock calculations for WT and F562L variants in IF-open states.</p> <p>21_US_MD_analysis: Calculations of RMSD, RMSF of each system. Calculation of helical parameters for trans-membrane helices 2, 5, 8 and 11.</p> <p>ABC_Sequences.fasta: Sequences from 1KP analysis</p>
D2.1: Artefact, Contributor, and Organisation Relationship Data Schema - Appendix A
<p>Comparison of metadata schema for ORCID, DataCite, Dublin Core, CASRAI, MODS and DDI regarding contributors, organizations and artefacts.</p>
Data for: Pollinator and habitat-mediated selection as potential contributors to ecological speciation in two closely related species
<p>In ecological speciation, incipient species diverge due to natural selection that is ecologically based. In flowering plants, different pollinators could mediate that selection (pollinator-mediated divergent selection) or other features of the environment that differ between habitats of two species could do so (environment-mediated divergent selection). Although these mechanisms are well understood, they have received little rigorous testing, as few studies of divergent selection across sites of closely related species include both floral traits that influence pollination and vegetative traits that influence survival. This study employed common gardens in sites of the two parental species and a hybrid site, each containing advanced generation hybrids along with the parental species, to test these forms of ecological speciation in plants of the genus <em>Ipomopsis</em>. Three vegetative traits (specific leaf area, leaf trichomes, and photosynthetic water-use efficiency) and five floral traits (corolla length and width, anther insertion, petal color, nectar production) were analyzed for impacts on fitness components (survival to flowering and seeds per flower, respectively). These traits exhibited strong clines across the elevational gradient in the hybrid zone, with narrower clines in theory reflecting stronger selection or higher genetic variance. Plants with long corollas and inserted anthers had higher seeds per flower at the <em>I. tenuituba </em>site, whereas selection favored the reverse condition at the <em>I. aggregata</em> site, a signature of divergent selection. In contrast, no divergent selection due to variation in survival was detected on any vegetative trait. Selection within the hybrid zone most closely resembled selection within the <em>I. aggregata</em> site. Across traits, the strength of divergent selection was not significantly correlated with width of the cline, which was better predicted by evolvability (standardized genetic variance). These results support the role of pollinator-mediated divergent selection in ecological speciation and illustrate the importance of genetic variance in determining divergence across hybrid zones.</p>
Data from: Deep-living and diverse Antarctic seaweeds are potentially important contributors to global carbon fixation
<p>Global models predict that Antarctica has little suitable habitat for macroalgae and that Antarctic macroalgae therefore make a negligible contribution to global carbon fixation. However, coastal surveys are rare at southern polar latitudes (beyond 71° S), and here we report diverse and abundant macroalgal assemblages in un-navigated coastal habitats of the Ross Sea from 71.5˚ – 74.5˚ S. We found extensive macroalgal assemblages living at depths >70 m and specimens of crustose coralline algae as deep as 125 m. Using global light modelling and published photosynthetic rates we estimate that Antarctic macroalgae may contribute between 0.9 – 2.8 % of global macroalgal carbon fixation. Combined, this suggests that Antarctic macroalgae may be a greater contributor to global carbon fixation and possibly sequestration than previously thought. The vulnerability of these coastal environments to climate change, especially shifting sea ice extent and persistence, could influence Southern Ocean carbon fixation and rates of long-term sequestration.</p>
Figure 6 in On Fabre's traces: an important contributor to the knowledge of Buthus occitanus (Amoreux, 1789)
Figure 6: A big terrarium in Fabre's courtyard, where he made his observations on scorpions (caption: "A big glass cage where the scorpions are kept"; after Fabre, 1920a).
Figure 9 in On Fabre's traces: an important contributor to the knowledge of Buthus occitanus (Amoreux, 1789)
Figure 9: Another plate from the same book, depicting courtship behaviour. 1. Initial courtship. 2. Promenade-a-deux. 3. The pair enters the nuptial hut (after Fabre, 1920a).
Figure 8 in On Fabre's traces: an important contributor to the knowledge of Buthus occitanus (Amoreux, 1789)
Figure 8: Cannibalism can be observed in Buthus occitanus both in the field and in captivity (photograph by Marco Colombo).
Data for: Pollinator and habitat-mediated selection as potential contributors to ecological speciation in two closely related species
Open the record for dataset details and reuse information.
Data from: Deep-living and diverse Antarctic seaweeds are potentially important contributors to global carbon fixation
Open the record for dataset details and reuse information.
Rebel Media contributors timeline
<p>Data on the tenures of every person to have appeared on Rebel Media's masthead. Start dates for each contributor's tenure are cleaned up from the Wayback Machine's caches of the Rebel Media masthead list, formerly located at therebel.media/therebels before the website changed its top-level domain to rebelnews.com. The first cached copy is from February 15th 2015, which is the same day that the Rebel posted their first YouTube video. The most recent copy of the list that is mapped is a cached copy from May 17th 2019. End dates from this data have been adjusted based on news reports of hosts' departures where applicable.</p>
Dataset of Paper "Microplastics in fresh- and wastewater are potential contributors to antibiotic resistance - A minireview"
<p>Dataset of Paper "Microplastics in fresh- and wastewater are potential contributors to antibiotic resistance - A minireview"</p> <ul> <li>Table 2. Reported abundance and characteristics of MPs in freshwater and wastewater in literature.</li> <li>Table 3. Abundance and characteristics of antibiotic resistant elements in freshwater and wastewater.</li> </ul>
A Dataset of bot and human contributors names in GitHub
<h4>A Dataset of Bot and Human Contributors' names in GitHub</h4> <p>This repository provides a dataset of 2,150 contributors (1,035 bots and 1,115 humans) that were active enough (made at least 5 events in GitHub) as of 3 May 2024. This dataset accompanies the paper titled <strong>A Bot Identification Model and Tool Based on GitHub Activity Sequences</strong> published at the <strong>Journal of Systems and Software (JSS), </strong>see<strong> <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jss.2024.112287" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.jss.2024.112287</span></span></a></strong>. This research paper is co-authored by Natarajan Chidambaram, Alexandre Decan and Tom Mens (Software Engineering Lab, University of Mons, Belgium). This work is supported by Service Public de Wallonie Recherche under grant number 2010235 - ARIAC by DigitalWallonia4.AI, by the Fonds de la Recherche Scientifique – FNRS under grant numbers J.0147.24, T.0149.22, and F.4515.23.</p> <h4>Files description</h4> <p>bots.txt - contains the login name of bots, one per line</p> <p>humans.txt - contains the login name of humans, one per line.</p>
Figure 2 in On Fabre's traces: an important contributor to the knowledge of Buthus occitanus (Amoreux, 1789)
Figure 2: The cover of The Life of Insects, Italian translation.
Figure 1 in On Fabre's traces: an important contributor to the knowledge of Buthus occitanus (Amoreux, 1789)
Figure 1: Fabre's portrait with his daughters and house (after Fabre, 1920a).
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.