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25 results for “model-driven”

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geo24/100

Model-driven generation of artificial yeast promoters

GEO Series GSE135464. synthetic construct. 102 samples. Type: Other.

openGEO-OpenDec 2019View details →
zenodo24/100

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>

opencc-by-4.0Oct 2020View details →
ClinicalTrials.gov24/100

A Preliminary Study of Model-driven Individualized Transcranial Electrical Stimulation for Insomnia

ClinicalTrials.gov study NCT05445999. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

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.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo16/100

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.

openGEO-OpenOct 2023View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record