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.
33,754
datasets available to search
ShareScore release 0.9.0
Dataset results
33,754 results for “Enhancers”
GitSED: GitHub Socially Enhanced Dataset
<p>Software Engineering has evolved as a field to study not only the many ways software is created but also how it evolves, becomes successful, is effective and efficient in its objectives, satisfies its quality attributes, and much more. Nonetheless, there are still many open issues during its conception, development, and maintenance phases. Especially, understanding how developers collaborate may help in all such phases, but it is also challenging. Luckily, we may now explore a novel angle to deal with such a challenge: studying the social aspects of software development over social networks.</p> <p>With <em>GitHub</em> becoming the main representative of collaborative software development online tools, there are approaches to assess the follow-network, stargazer-network, and contributors-network. Moreover, having such networks built from real software projects offers support for relevant applications, such as detection of key developers, recommendation of collaboration among developers, detection of developer communities, and analyses of collaboration patterns in agile development.</p> <p><strong>GitSED</strong> is a dataset based on GitHub that is curated (cleaned and reduced), augmented with external data, and enriched with social information on developers’ interactions. The original data is extracted from <a href="https://ghtorrent.org/">GHTorrent</a> (an offline repository of data collected through the GitHub REST API). Our final dataset contains data from up to June 2019. It comprises:</p> <ul> <li><strong>8,556,778</strong> repositories</li> <li><strong>32,411,674 </strong>developers</li> <li><strong>6</strong> programming languages (Assembly, JavaScript, Pascal, Python, Ruby, Visual Basic)</li> <li><strong>13</strong> collaboration metrics</li> </ul> <p>There are two previous versions of GitSED, which were originally built for the following conference papers:</p> <p><a href="https://dl.acm.org/doi/10.1145/3243082.3243101">v2 (May 2017)</a>: <em>Gabriel P. Oliveira, Natércia A. Batista, Michele A. Brandão, and Mirella M. Moro. Tie Strength in GitHub Heterogeneous Networks. In Proceedings of the 24th Brazilian Symposium on Multimedia and the Web (WebMedia'18), 2018.</em></p> <p><a href="https://dl.acm.org/doi/10.1145/3106426.3106480">v1 (Sep 2015)</a>: <em>Natércia A. Batista, Michele A. Brandão, Gabriela B. Alves, Ana Paula Couto da Silva, and Mirella M. Moro. Collaboration strength metrics and analyses on GitHub. In Proceedings of the International Conference on Web Intelligence (WI'17), 2017.</em></p>
FSR Ownership Links and Enhanced EUTL Dataset
<p>The European Union Emission Trading Scheme (EU ETS) dataset was created by a team of researchers at the Florence School of Regulation in the Robert Schuman Centre for Advanced Studies, European University Institute: J. Jaraite; T. Jong; A. Kažukauskas; A. Zaklan; A. Zeitlberger. The dataset maps Operator Holding Accounts (OHA) and Person Holding Accounts (PHA) from the European Union Emissions Trading System (EU-ETS) to their respective parent companies.</p>
Direct Visualization of Cryptographic Keys for Enhanced Security - Supplementary files
<p>Supplementary files showing</p> <ul> <li>Visualization of keys only with lines;</li> <li>Visualization of keys only using ellipses;</li> <li>Visualization of keys and hashes using ellipses;</li> <li>A synthetic example for key spoofing.</li> </ul> <p><em>Title: </em>Direct Visualization of Cryptographic Keys for Enhanced Security<br> <em>Author: </em>Oleg Lobachev<br> <em>Affiliation: </em>Visual Computing, University Bayreuth, Universitätsstr. 30, 95440 Bayreuth, Germany<br> <em>Email: </em>oleg.lobachev@uni-bayreuth.de<br> <em>Web: </em>https://orcid.org/0000-0002-7193-6258, https://www.researchgate.net/profile/Oleg_Lobachev<br> <em>Journal: </em>The Visual Computer</p>
Model Data for "Increased Ocean Heat Convergence into the High Latitudes with CO2-Doubling Enhances Polar-Amplified Warming."
<p>This is the data repository for the following published study:</p> <p>Singh HA, Rasch PJ, and Rose BEJ. "Increased Ocean Heat Convergence into the High Latitudes with CO<sub>2</sub>-Doubling Enhances Polar-Amplified Warming", Geophysical Research Letters, Oct 2017, doi: 10.1002/2017GL074561.</p> <p>Please see 'README.txt' for further details on the data files included.</p>
Data for "Enhancing Versus Suppressive Effects of Sediment-Induced Density Gradients on Estuarine Lateral Circulation"
<p>The NetCDF files contain model output for experiments A–E from both the ENH and SUP series.</p> <p>The txt file provides the data sources referenced in Table A1.</p>
MAGE Model Simulation of the Pre-reversal Enhancement and Comparison with ICON and Jicamarca ISR Observations
The dataset contains the MAGE simulations files and observational data used in the paper along with a plotting routine to read the files. The dataset covers a 1.25 degree by 1.25 degree space horizontally, 0.25 degree space vertically, at altitudes between 97 and 600 kilometers globally.
Integrating AlphaFold pLDDT Scores into CABS-flex for Enhanced Protein Flexibility Simulations
<div>This dataset accompanies the publication "Integrating AlphaFold pLDDT Scores into CABS-flex for enhanced protein flexibility simulations".</div> <div>This project was funded by the OPUS grant from the National Science Centre, Poland [2020/39/B/NZ2/01301].</div> <div> </div> <div>Training_set_protein_chains.txt and Whole_set_protein_chains.txt have lists of all PDB ID and chain used.</div> <div>Description_of_runs.csv has a list of every run tested. Run number correponds to csv file in Results_run.tar.gz.</div> <div>Every csv file has following columns: </div> <div> <ul> <li>PDB - PDB ID and chain </li> <li>Total_residues</li> <li>%_C - Percent of secondary structure assigned as coil by DSSP</li> <li>%_H - Percent of secondary structure assigned as helix by DSSP</li> <li>%_E - Percent of secondary structure assigned as sheet by DSSP</li> <li>%_T - Percent of secondary structure assigned as turn by DSSP</li> <li>pLDDT_mean - Average pLDDT score across all residues</li> <li>pLDDT_std - Standard deviation of pLDDT scores across all residues</li> <li>Unique_restraints - Number of unique restraints created by CABS-flex</li> <li>RMSF_CABS_R1_corr - RMSF correlation between CABS-flex and first MD simulation from ATLAS</li> <li>RMSF_CABS_R2_corr - RMSF correlation between CABS-flex and second MD simulation from ATLAS</li> <li>RMSF_CABS_R3_corr - RMSF correlation between CABS-flex and third MD simulation from ATLAS</li> <li>Highest_RMSF_corr - Highest RMSF correlation out of three</li> </ul> </div> <div> </div>
EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe through Machine Learning
<p>The EUNIS habitat classification is essential for categorising European habitats and supporting European policy on nature conservation and to implement the Nature Restoration Law. As such, to meet the growing demand for detailed and accurate habitat information, we provide spatial predictions for 260+ EUNIS habitat types at EUNIS level 3, together with validation and uncertainty analyses. </p> <p>More specifically, using ensemble machine learning models together with high-resolution satellite imagery and other climatic, terrain and soil variables, we produced an European habitat map at a 100-m resolution indicating the most likely EUNIS habitat at level 3 for every location across Europe. Predictions were validated for three independent countries, namely for France, the Netherlands and Austria. We also provide information on uncertainty and the most probable habitats at level 3 within each EUNIS level 1 formation. Products can be further refined with accurate and local land cover data. This product is thus likely to be particularly useful for restoration but also conservation purposes. </p> <p>Figure: <strong>Wall-to-wall map of EUNIS habitats at level 3 - (color coded at level 2 for visibility)</strong></p> <p></p>
Different spectral sensitivities of ON- and OFF-motion pathways enhance the detection of approaching color objects in Drosophila - Processed Data
<p>Processed data and code for plotting figures for the paper:</p><p>"Different spectral sensitivities of ON- and OFF-motion pathways enhance the detection of approaching color objects in Drosophila", by Kit D. Longden, Edward M. Rogers, Aljoscha Nern, Heather Dionne, Michael B. Reiser.</p><p>Data (compressed results folder) and plotting code (compressed src folder) are MATLAB files (see READ_ME for version information and toolboxes). The Source Data excel file also contains the data plotted in the paper figures.</p>
Exaggerated mandibles are correlated with enhanced foraging efficacy in male Auckland tree wētā
<p class="MsoNormal">Sexual selection has driven the evolution of weaponry for males to fight rivals to gain access to females. Although weapons <span>are predicted to increase males' reproductive success, they are also expected to</span> incur costs and may impair functional activities, including foraging. Using feeding assays, we tested whether the enlarged mandibles of Auckland tree wētā (<em>Hemideina thoracica</em>) impact feeding activity (the total volume of biomass consumed, bite rate, and number of foraging visits) and foraging behaviour (time spent moving, feeding, or stationary). We predicted that increased mandible length in male wētā would hinder their feeding rates. However, we found that wētā with longer heads fed at a faster rate and spent less time foraging than wētā with smaller heads, regardless of sex. Contrary to expectations that weapons impede functional activities, our results demonstrate that exaggerated traits can improve feeding performance and may offer benefits other than increased mating success.</p>
Bodily and Visual-Cognitive Navigation Aids to Enhance Spatial Recall in Mild Cognitive Impairment
<p>Individuals with mild cognitive impairment (MCI) syndrome often report navigation difficulties, accompanied by impairments in egocentric and allocentric spatial memory. However, studies have shown that both bodily cues (e.g., motor commands, proprioception, vestibular information) and visual-cognitive cues (e.g., maps, directional arrows, attentional markers) can support spatial memory in MCI. These aids offer valuable insights for designing navigation training programs in aging. Fifteen MCI patients were recruited for this study. Their egocentric and allocentric memory recall performances were tested through a navigation task with five different virtual reality (VR) assistive encoding procedures (bodily, vision only, interactive allocentric map, reduced executive load, free navigation without cues). Bodily condition consisted of an immersive VR setup to engage self-motion cues, vision only condition consisted of passive navigation without interaction, in the interactive allocentric map condition patients could use a bird-view map, in the reduced executive load condition directional cues and attentional markers were employed, and during free navigation no aid was implemented. Bodily condition improved spatial memory compared to vision only and free navigation without cues. In addition, the interactive allocentric map was superior to the free navigation without cues. Surprisingly, the reduced executive load was comparable to vison only condition. Moreover, a detrimental impact of free navigation was observed on allocentric memory across testing trials. These findings challenge the notion of an amodal representation of space in aging, suggesting that spatial maps can be affected by the modality in which the environment was originally encoded.</p>
Global sensitivity analysis to enhance the transparency and rigour of energy system optimisation modelling - Supplementary Material
<p>Supplementary material for the manuscript "Global sensitivity analysis to enhance the transparency and rigour of energy system optimisation modelling".</p> <p>This deposit contains all data and visualization scripts needed to replicate results in the manuscript.This includes user created figures, model input files, model output files, configuration files for running the workflow, and all scripts needed to process results.</p> <p>In addition to the European Commission, we acknowledge that Trevor Barnes' contribution to this paper was funded via a Mitacs Globalink Research Award, grant number IT2569</p>
Reproduction Package (VirtualBox Image) for the POPL 2024 Article `Enhanced Enumeration Techniques for Syntax-Guided Synthesis of Bit-Vector Manipulations`
<p>This is the artifact for the ACM PACMPL article <i>Enhanced Enumeration Techniques for Syntax-Guided Synthesis of Bit-Vector Manipulations</i>. We provide our artifact as an easy-to-use VirtualBox image, which contains the benchmarks, our tools for bit-vector synthesis, and the scripts for generating the results showcased in the paper.</p>
Polymer Electrolyte Membrane Water Electrolyzer Oxygen Bubble Evolution Optical Video Recording For Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli
<p>Dataset used for the training of the segmentation model employed in the work "Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer" by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli. This dataset consists in 35 images and the corresponding manual annotated masks of diverse bubbly scenarios extracted from the optical video recording of a PEMWE with a transparent flow field.</p>
Dataset related to the publication "Sub-Doppler optical-optical double-resonance spectroscopy using a cavity-enhanced frequency comb probe"
<p>The files contain </p><p>1. Binary files with normalized and interleaved double-resonance spectra recorded with three different pump transitions and two different relative pump-probe polarizations, indicated in the file name. These spectra are the results of 5 measurements.</p><p>2. Binary file with 45 normalized and interleaved double-resonance spectra recorded with pump on the R(2, <i>F2</i>) transition and parallel relative pump-probe polarization.</p><p>2. Data for Figures 4, S1 and S3 in the paper.</p><p> </p>
Dataset underlying the study "Enhanced Susceptibility to Tomato Chlorosis Virus (ToCV) in Hsp90- and Sgt1-Silenced Plants: Insights from Gene Expression Dynamics"
<p>This dataset is underlying the scientific publication titled "Enhanced Susceptibility to Tomato Chlorosis Virus (ToCV) in Hsp90- and Sgt1-Silenced Plants: Insights from Gene Expression Dynamics", published in the <a href="https://www.mdpi.com/1999-4915/15/12/2370">Viruses</a> journal. </p><p>The dataset includes a time-course transcriptome analysis using RNA-seq of naïve (no whitefly and no virus), mock (non-viruliferous whiteflies) and ToCV (ToCV_viruliferous whiteflies)-treated tomato samples at 2, 7, and 14 days post-infection (dpi) and viral small RNAs derived from Tomato plants infected with ToCV at 14 dpi. The dataset provided here has been deposited in full by the authors in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB67704 (<a href="https://www.ebi.ac.uk/ena/browser/view/PRJEB67704"><strong>https://www.ebi.ac.uk/ena/browser/view/PRJEB67704</strong></a><br><br>The provided information in the dataset are further discussed and interpreted in detail, as well as their subsequent results, in the scientific publication.</p><p>This research was conducted within the VIRTIGATION project, which is part of the EU Open Research Data pilot. This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 101000570.</p>
Datasets: Enhancing Anger Management via Reinforcement Learning: A Comparative Analysis of the PPO Algorithm with Optimised Hyperparameters
Open the record for dataset details and reuse information.
Dataset for "Complexity of crack front geometry enhances toughness of brittle solids"
<div>This data package supports the publication</div> <div>'Complexity of crack front geometry enhances toughness of brittle solids'</div> <div>by Xinyue Wei, Chenzhuo Li, Cían McCarthy, and John M. Kolinski</div> <div>Nature physics (2024) - <span><a href="https://doi.org/10.1038/s41567-024-02435-x">https://doi.org/10.1038/s41567-024-02435-x</a></span></div> <div> </div> <div>DOI: 10.5281/zenodo.10604552</div> <div> </div> <div> </div> <div>The data package includes </div> <div>- data for material characterization in 'material_test.xlsx';</div> <div>- segmented 3D crack data in "segmented_3D_crack_stacks" folder.</div> <div> </div> <div> </div> <div>'material_test.xlsx' includes</div> <div>- shear modulus for Gel1, Gel2, Gel3, Gel4, and PDMS;</div> <div>- stretch v.s. engineering stress for the five materials.</div> <div> </div> <div> </div> <div>'segmented_3D_crack_stacks' includes</div> <div>- 'sample_info.xlsx': metadata for all the cracks including the critically loaded cracks and the cracks with local </div> <div> propagation in two sheets, with the following information:</div> <div>- 'crack_name' corresponds to the title of each tif file in the subfolders;</div> <div>- 'sample' indicates the material and thickness of the samples;</div> <div>- 'xy_scale_um' and 'z_scale_um' are the resolutions in microns in xyz direction ;</div> <div>- 's_start' and 's_end' provide the range of the valid slices, with s_end excluded. The first slice is s=0;</div> <div>- 'tile_s_start' and 'tile_s_end' provide the range of the valid slices of the tile scans. The tile scans </div> <div> are taken for the measurement of strain energy release rate from the far field CTOD. Since the field of </div> <div> view is large enough to cover the K-dominant region of Gel1, tile scan is not taken for Gel1;</div> <div>- 'remarks' are the comments for the data points (if applicable).</div> <div> </div> <div>- 'critically_loaded_cracks': tif stacks for the binarized 3D cracks that are loaded to critical state. </div> <div> Different materials and sample thicknesses are in separate folders. </div> <div>- 'local_propagation': tif stacks for the binarized 3D cracks before critically loaded. </div> <div> </div> <div> </div>
An enhanced author name dataset for PubMed/MEDLINE
<p>The incompleteness of author names is a well-known issue in the MEDLINE database. It was since 2002, the full author name has been systematically indexed in MEDLINE. Although many full author names have been added to MEDLINE, we still found a significant number of abbreviated names in papers published after 2002.</p> <p>Here we built an enhanced author name dataset for MEDLINE, called EAN, achieved by linking the whole PubMed to other large literature databases and conducting a large-scale name comparison and restoration with obtained multi-sources author names. Our evaluation shows that more than 90% of author names in EAN are complete as compared to the ratio of ~60% in MEDLINE.</p>
Mitigating Biases in Collective Decision-Making: Enhancing Performance in the Face of Fake News
<p>Data supporting "Mitigating Biases in Collective Decision-Making: Enhancing Performance in the Face of Fake News". <br><br></p> <p> If you use this dataset in your own research, please cite this paper:</p> <p>```<br>@misc{abels2024mitigating,<br> title={Mitigating Biases in Collective Decision-Making: Enhancing Performance in the Face of Fake News}, <br> author={Axel Abels and Elias Fernandez Domingos and Ann Nowé and Tom Lenaerts},<br> year={2024},<br> eprint={2403.08829},<br> archivePrefix={arXiv},<br> primaryClass={cs.HC}<br>}<br>```</p> <p> </p> <table> <tbody> <tr> <td><strong>column name</strong></td> <td><strong>description</strong></td> </tr> <tr> <td>treatment</td> <td>identifier for the set of headlines presented to the participant</td> </tr> <tr> <td>trial</td> <td>trial/round in which the headline was presented </td> </tr> <tr> <td>arm</td> <td>which "arm" the headline was presented as (0=left, 1=middle, 2=right)</td> </tr> <tr> <td>advice</td> <td>the participant's response (0=very unlikely, 0.25=unlikely, 0.5=undecided, 0.75=likely, 1=very likely)</td> </tr> <tr> <td>genuine</td> <td>whether the headline was genuine (1) or altered (0)</td> </tr> <tr> <td>headline</td> <td>the headline as shown to the participant</td> </tr> <tr> <td>original</td> <td>the headline before a possible alteration</td> </tr> <tr> <td>expert_id</td> <td>participant's identifier</td> </tr> <tr> <td>sentiment</td> <td>whether the headline reported a negative (-1) or positive (1) outcome</td> </tr> <tr> <td>expert:ethnicity</td> <td>the participant's ethnicity</td> </tr> <tr> <td>expert:sex</td> <td>the participant's sex</td> </tr> <tr> <td>expert:age</td> <td>the participant's age</td> </tr> <tr> <td>outcome:white, outcome:black, outcome:young, outcome:old, outcome:male, outcome:female</td> <td>whether the headline reported a negative (-1) or positive (1) or neutral (0) outcome for the specified group</td> </tr> <tr> <td>trial_time</td> <td>how long the participant took to respond to the trial/round</td> </tr> </tbody> </table> <p><strong>abstract</strong><br>Individual and social biases undermine the effectiveness of human advisers by inducing judgment errors which can disadvantage protected groups. In this paper, we study the influence these biases can have in the pervasive problem of fake news by evaluating human participants' capacity to identify false headlines. By focusing on headlines involving sensitive characteristics, we gather a comprehensive dataset to explore how human responses are shaped by their biases. Our analysis reveals recurring individual biases and their permeation into collective decisions. We show that demographic factors, headline categories, and the manner in which information is presented significantly influence errors in human judgment. We then use our collected data as a benchmark problem on which we evaluate the efficacy of adaptive aggregation algorithms. In addition to their improved accuracy, our results highlight the interactions between the emergence of collective intelligence and the mitigation of participant biases. </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.