Public wind turbine blade materials database with mechanical testing data for GFRP, CFRP, structural adhesives, core materials, tensile properties, and fatigue/S-N curve records. Imported as metadata/resource links first; raw tabular semantic mapping can follow with PMDco.

KupferDigital digital product/process passport repository for copper alloy materials data and related semantic workflows.

Materials Data Facility Forge provides programmatic access and indexing tooling for many open materials datasets, including alloys and microscopy-related records hosted outside GitHub.

Matminer package and dataset registry for benchmark materials datasets including elastic tensors, physical properties, and machine-learning-ready materials records.

NREL OpenFAST regression-test repository containing reference turbine model input files, structural properties, material definitions, and engineering test data relevant to wind turbine materials.

IEA Wind Task 37 / NREL machine-readable reference wind turbine model with blade/composite layup, structural, density, tensile/shear modulus, and fatigue-related material definitions in YAML and engineering input files.

Platform MaterialDigital parser for tensile-test data. Provides PMDco-aligned parser logic and example structures for mapping raw tensile test outputs into RDF/JSON-LD style metadata.

The extracted Turtle (TTL) file is an RDF export of the knowledge graph created in the HybridDigital project. It contains the project’s graph content in the form of subject–predicate–object triples, i.e., explicit semantic statements rather than tabular records. The graph represents knowledge about hybrid material specimens and related research outputs, covering both experimental and simulated data. It captures the involved physical entities (e.g., specimens and their constituents), the relevant processes (e.g., manufacturing and testing activities), and the resulting information artifacts (e.g., measurements, computed results, and derived assessments). For semantic alignment, the graph follows a layered ontology approach: BFO (Basic Formal Ontology) is used as the Top-Level Ontology (TLO) to provide the foundational categories for entities and processes. CCO (Common Core Ontologies) is used as the Middle-Level Ontology (MLO) to supply reusable mid-level concepts and relations that structure scientific/engineering information, measurement representations, and artifact-related modeling. Domain-specific terms (project/manufacturing/materials concepts) extend this foundation where needed.