The following images depict the microscopic fracture pattern analysis of the aged samples from test series three, which underwent various surface pre-treatments: PP-AC, LT-LT, SB-SB.

The following images depict the microscopic fracture pattern analysis of the samples from test series three, which underwent various surface pre-treatments: PP-AC, LT-LT, SB-SB and AC-AC

The following images depict the microscopic fracture pattern analysis of the samples from test series two, which underwent various surface pre-treatments: PP-AC, PP-LT, PP-SB, LT-AC, LT-LT, LT-SB, SB-AC, SB-LT and SB-SB. The thickness of both samples was 2 mm.

Fracture pattern analysis using a white-light microscope for the screwed samples. This section contains the fracture images from the bolted tests. There were two test series. The first test series investigated the influence of the overlap length on the tensile shear strength of the bolted connection, while the second investigated the influence of the hole diameter on the tensile shear strength of the bolted connection.

This dataset contains about 2000 results from hybrid-specimen tensile tests (both experimental and simulated). Each specimen (identified by `hyb` and optionally a human-readable `hyb_name`) is described by a structured set of metadata covering **geometry** (e.g., overlap length, ply/metal/adhesive thickness, bolt diameter), **joining concept** (binary flags for `bolt` and `adhesive`), and **process/condition information** (e.g., CFRP and metal surface preparation classes, aging state, bolt torque/prestress, friction coefficients, adhesive curing temperatures). Material properties are included for the involved constituents—**CFRP** (tensile strengths in 0°/90°), **metal** (modulus and strength), **bolt** (modulus and strength), and **adhesive** (modulus and strength)—with values coming from datasheets for experiments or serving as input parameters for simulations. Mechanical response is captured through aligned tensile-test statistics (min/max/mean) for **force**, **strain**, and **stress**, plus the full **stress–strain curve** (`stress_val` array) and an overall performance metric, the **hybrid tensile strength** (`hyb_tens_strength_val`, max stress). A boolean `simulated` indicates whether a row originates from simulation or experiment.

A set of stress–strain curves obtained from simulated tensile tests of hybrid material specimens. Two joining mechanisms are evaluated: an adhesive joint and a bolted joint. Each result consists of (1) a JSON file describing the simulated specimen (geometry and materials) and (2) a linked CSV file containing the corresponding simulated stress–strain curve.

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.