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.
25
datasets available to search
ShareScore release 0.9.0
Dataset results
25 results for “model-driven”
Model-driven generation of artificial yeast promoters
GEO Series GSE135464. synthetic construct. 102 samples. Type: Other.
Anticipating Identification of Technical Debt Items in Model-Driven Software Projects
<p>Model-driven development (MDD) and Technical Debt (TD) are software engineering approaches that look for promoting quality on systems under development. MDD uses high-level abstraction models that can be transformed into application code, potentially improving system understanding and maintainability. TD, on the other hand, promotes quality through the use of strategies for detecting, quantifying, monitoring, and correcting software development problems that may hinder its maintenance and evolution. Most research on TD focuses on the application code as primary TD sources. In an MDD project, however, dealing with technical debt only on the source code may not be an adequate strategy because MDD projects should focus their software building efforts on models instead of source code. Besides, in MDD projects, code generation is often done at a later stage than creating models, then dealing with TD only in source code can lead to unnecessary interest payments due to unmanaged debts, such as model and source codes artifacts desynchronization. The use of TD concept in an MDD context is also known as Model-Driven Technical Debt (MDTD). Recent works concluded that MDD project codes are not technical debt free, making it necessary to investigate the possibility and benefits of applying TD identification techniques in earlier stages of the development process, such as in modeling phases. This paper intends to analyze whether it is possible to use source code technical debt detection strategies to identify TD on code-generating models in the context of model-driven development projects. A catalog of nine different model technical debt items for platform-independent code-generating models was specified. Each catalog item provides a detection strategy to automatically find elements suspected to incur the corresponding TD type in the models. An evaluation was performed in order to observe the effectiveness of the proposed catalog compared to existing source code identification techniques found in the literature. Through three different open source software projects, more than 78 thousand lines of code were investigated. Results revealed that, although the catalog items present different precision rates, it is possible to identify and deal with these model-driven technical debts before source code is generated. We hope that sharing this initial version provides future contributions and improvements for this catalog.</p>
A Preliminary Study of Model-driven Individualized Transcranial Electrical Stimulation for Insomnia
ClinicalTrials.gov study NCT05445999. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Multimodal Large Model-Driven Risk and Prognosis Assessment for Brain Metastases in Lung Cancer
ClinicalTrials.gov study NCT07107035. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Model-driven design of synthetic N-terminal coding sequences for fine-tuning gene expression in yeast and bacteria
GEO Series GSE186378. Bacillus subtilis; Saccharomyces cerevisiae. 4 samples. Type: Other.
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.