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.
4
datasets available to search
ShareScore release 0.9.0
Dataset results
4 results for “UML class diagrams”
Replication Package for "Evaluating the layout quality of UML class diagrams using machine learning"
<p>Open Science material including dataset and replication instructions accompanying the article "Evaluating the layout quality of UML class diagrams using machine learning."</p>
A Catalogue Of Sounds For UML Class Diagrams - Experimental Study
<p>This experiment was developed within the scope of the thesis "Constructing An Auditory Notation In Software Engineering - Understanding UML Models with voice and sound", and aims to determine if the construction of a catalogue of sounds that follows a more methodical approach is more effective for comprehension, when compared to a catalogue where the choice for sounds is purely arbitrary.</p> <p> </p> <p>Here are contained the results, along with the sounds used and the form that was presented to the participants.</p>
UML class diagrams for layout quality checking
<p>We offer a dataset of labelled UML class diagrams. In this dataset, we supply for every diagrams the following information: 1) a manually established ground truth of the quality of the layout, 2) a value for the layout-quality of the diagram as predicted by our classifier, and 3) the values of key features of the layout of the diagram. These features are extracted automatically via image processing. This dataset can be used for replication of our study and for others to build on and improve on our work.</p>
Open Science materials of the paper "Automatically Recognizing the Semantic Elements from UML Class Diagram Images"
<p>This submission contains such files:</p> <p>1. "questionnaire.docx": The questionnaire for the survey. The file contains all the questions and answers.<br> 2. "raw data collected from participants.xlsx": The raw data collected from participants. Each row in the file represents a participant's answers to all questions, including the date, source, IP, and answers.<br> 3. "raw data collected from open-source community.xlsx": The raw data collected from open-source community (the UML diagram usage). It contains the repositories and GitHub URLs, the UML diagrams and the corresponding links, and some statistics about the UML diagram usage.<br> 4. "an implementation of ReSECDI.zip", "utility source code.zip", "utility compiled JAR.zip", and ".m2.zip": An implementation of ReSECDI, and its dependencies. The implementation is in Java, and it requires JDK11 or higher. It depends on a project named "utility", in addition to other dependencies. The source code of "utility" is provided in "utility source code.zip", the compiled JAR file is in "utility compiled JAR.zip", and the maven dependency files are provided in ".m2.zip". The ways to add the "utility" to the implementation's dependencies are explained in the "readme.txt".<br> 5. "instructions for how to use the artifacts.docx": The instructions for how to use the implementation of ReSECDI. It mainly explains the key components of the implementation, and how to set the parameters.<br> 6. "diagrams used for its evaluation.zip": The diagrams used for the evaluation. There are 50 diagrams collected from the open-source community. Each diagram's name represents its belonging repository.<br> 7. "raw data collected during the evaluation.xlsx": The raw data collected during the evaluation. It contains the statistics of the classes and relationships for each diagram, and the recognition results.<br> 8. "Manuscript.pdf": The manuscript explaining our approach.<br> 9. "readme.txt": The readme file explaining details about each file.</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.