AdvSegLearn 1.0.5 AdvSegLearn: Package for combining traditional and adversarial learning.
Package for combining traditional and adversarial learning. AdvSegLearn · PyPI
poremetrics 1.0.2 poremetrics: Package for extracting features from segemented defects in defect initated fatigue.
Package for extracting features from segemented defects in defect initated fatigue. poremetrics · PyPI
ord-rxn-converter 0.1.4 ord-rxn-converter
Package for extracting chemical reaction serialized (Google Protocol Buffers mechanism) in Open Reaction Database (ORD) schema to relational database (RDB) and Resource Descriptive Framework (RDF). ord-rxn-converter · PyPI
rxn-rdf-converter 0.1.1 rxn-rdf-converter
Package for extracting chemical reaction serialized (Google Protocol Buffers mechanism) in Open Reaction Database (ORD) schema to Resource Descriptive Framework (RDF) triples in JSON-LD and/or Turtle format. rxn-rdf-converter · PyPI
FAIRLinked 0.3.2.7
FAIRLinked is a powerful tool for transforming research data into FAIR-compliant RDF. It helps you align tabular or semi-structured datasets with the MDS-Onto ontology and convert them into Linked Data formats, enhancing interoperability, discoverability, and reuse. FAIRLinked · PyPI
CEMENTO
. O. Ponon, B. P. Rajamohan, E. Frakes, J. Jimenez, H. Sharma, and R. H. French, cemento: A package to view and write ontologies directly from draw.io diagram files. (Jul. 27, 2025). Python. Accessed: Jul. 28, 2025. [OS Independent]. Available: https://github.com/cwru-sdle/CEMENTO
FAIRlinked: Transform research data into FAIR-compliant RDF Data.
Van D. Tran, Priyan Rajamohan, Ritika Lamba, Gabriel O. Ponon, Kai Zheng, Erika I Barcelos, Quynh D. Tran, Ozan Dernek, Laura H. Bruckman, and Roger H. French, “FAIRlinked: Transform research data into FAIR-compliant RDF Data.” SDLE Res. Cntr, Case Western Reserve University, Cleveland OH, USA, 01-June-2026 [Online]. Available: https://cwrusdle.bitbucket.io
Kinematic Diffraction Simulator
Redad Medhi, Roger H. French, and Frank Ernst, “Kinematic Diffraction Simulator.” CWRU SDLE, Cleveland OH, 13-June-2024 [Online]. Available: https://github.com/cwru-sdle/kinematic_diffraction_simulator.
Materials Data Segmentation: Benchmark & Model Garden (MDS: B&MG)
Maliesha S. Kalutotage, Pawan Tripathi, Thomas Ciardi, Mingjian Lu, Kristen Hernandez, Max A Liggett, Andrew Ballen, Mengjie Li, Kristopher O. Davis, John Lewandowski, Laura Bruckman, Yinghui Wu, Roger H. French, and Vipin Chaudhary, “Materials Data Segmentation: Benchmark & Model Garden (MDS: B&MG).” Case Western Reserve University, June-2024 [Online]. Available: https://osf.io/eb9jv/
klovan: Geostatistics Methods and Klovan Data.
J. E. Gordon, E. K. Helfer, H. E. Omodolor, J. M. Yarus, and R. H. French, “klovan: Geostatistics Methods and Klovan Data.” SDLE Res. Cntr., Case Western Reserve University, 01-Feb-2024 [Online]. Available: https://cran.case.edu/web/packages/klovan/index.html.
OntoCheck: A package for assessing the quality and structure of ontologies.
R. Kundu, V. Tran, and R. Mehdi, “OntoCheck: A package for assessing the quality and structure of ontologies.” SDLE Res. Cntr, Case Western Reserve University [Online]. Available: https://pypi.org/project/OntoCheck/
