High-throughput Density Functional Theory (DFT) property database for 3D materials calculated using the OptB88vDW functional. Contains electronic, elastic, vibrational, and piezoelectric properties for over 75,000 structures.
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Large-scale database of crystal structures and property data of 3D materials computed using Density Functional Theory with the PBE exchange-correlation functional. Complements OQMD/JARVIS with different workflows and newer scale.
High-throughput Density Functional Theory (DFT) property database for 2D low-dimensional materials calculated using the OptB88vDW functional. Fills a critical dimensionality gap.
Database of ground-state properties of 3D materials computed using Density Functional Theory with the PBEsol functional. Complements PBE datasets with distinct exchange-correlation treatment.
Superconductivity benchmark database containing calculated superconducting transition temperature (Tc) values, Eliashberg functions, and electron-phonon coupling properties for 3D materials.
Computational database of phonon dispersions, vibrational properties, and electron-phonon coupling matrices calculated using DFT with PBEsol. Complements structural corpora with transport-relevant property metrics.
Thermodynamic subset of the Alexandria PBEsol database containing ground-state energy, formation energy, and stability distance values relative to the convex hull. Excellent for fast phase stability checks.
Superconductivity benchmark database containing calculated superconducting transition temperature (Tc) values and coupling constants for 2D monolayer structures. Complements 3D superconductivity set.
High-throughput computational database of structural geometries and thermodynamic properties of materials optimized using Density Functional Theory with the SCAN exchange-correlation functional.
demo data set von PT500 für HTO applications Ontologien. This MatPortal catalogue entry is listed under PMD, catalogued under source association source record. It includes 5 linked resources with formats such as CSV, JSON, text/turtle; charset=utf-8, yaml, turtle, including 2022.06.10_12.03.55_Charge_3471.csv, 2022.06.10_12.03.55_charge_3471-metadata.json, 2022.06.10_12.03.55_charge_3471-joined.ttl.
Demo of creation and query sematic documents created on the basis of catena-x samm model payloads. Uses a YARRRML mapping, found here https://dataportal.material-digital.de/dataset/samm-batch-map that created the necessary tripples. To test this urself copy the link to the mapping into the mapping url field of the application found here https://rdfconverter.matolab.org/. This Dataportal has triple store integration and u can find a query on the resuting data here [Example Query](https://dataportal.material-digital.de/sparklis/?title=batch&endpoint=https%3A%2F%2Fdataportal.material-digital.de%2Ffuseki%2Ff789ccb0-c887-4e2e-a988-6da379bf7d7a&sparklis-query=%5BVId%5DReturn%28Det%28An%288%2CModif%28Select%2CUnordered%29%2CClass%28%22urn%3Asamm%3Aio.catenax.batch%3A3.0.1%23Batch%22%29%29%2CSome%28Triple%28S%2CDet%28An%2845%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%2CDet%28An%2846%2CModif%28Select%2CUnordered%29%2CThing%29%2CSome%28And%28Rel%28%22http%3A%2F%2Fwww.w3.org%2F1999%2F02%2F22-rdf-syntax-ns%23type%22%2CFwd%2CDet%28An%28144%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CTriple%28S%2CDet%28An%28148%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%2CDet%28An%28149%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%29%29%29%29%29%29%29&sparklis-path=DDDRDDRDR%29
Dataset demonstrating the conversion of a aas payload referencing the aas inspection document sub model to pmdco knowledge graph and the other way round.
This dataset documents the conversion of polymer material data from the **Catena-X dataspace** into a **[PMDCo](https://github.com/materialdigital/core-ontology)**-conformant knowledge graph. The source data is a PA6GF30 (30% glass-filled polyamide 6) material property dataset conforming to the [SAMM `MaterialData` aspect model](https://dataportal.material-digital.de/dataset/source record/resource/source record/download/materialdataam3010.ttl) as used in the Catena-X dataspace standard. ## Conversion Pipeline 1. [Instance data](https://dataportal.material-digital.de/dataset/source record/resource/source record/download/material_data_test_pa6gf30.json) is retrieved from a Catena-X dataspace via an Eclipse Dataspace Connector (EDC) 2. The JSON is converted to RDF using the RDFConverter tool with a SAMM-specific YARRRML mapping, producing the [SAMM semantic document](PLACEHOLDER_DATASET1_JOINED_TTL) 3. A [SPARQL INSERT query](https://dataportal.material-digital.de/dataset/source record/resource/source record/download/pmdco-mapping-insert.sparql) transforms the SAMM representation into PMDCo-conformant triples, mapping SAMM units to QUDT equivalents and material properties to PMDCo quality classes 4. The [output graph](PLACEHOLDER_DATASET1_PMDCO_TTL) is a standalone PMDCo knowledge graph of the PA6GF30 material The [SAMM aspect model schema](https://dataportal.material-digital.de/dataset/source record/resource/source record/download/materialdataam3010.ttl) and the [mapping diagram](https://dataportal.material-digital.de/dataset/source record/resource/source record/download/samm-pmdco.png) illustrate the conceptual mapping between the two representations. The [Jupyter notebook](https://dataportal.material-digital.de/dataset/source record/resource/source record/download/cross_project_usecase.ipynb) demonstrates the full pipeline end-to-end. ## Part of Cross-Dataspace Demonstration This dataset is part of a three-dataset series: - **This dataset** — Catena-X SAMM → PMDCo conversion - [steel-inspection-document-mapro](https://dataportal.material-digital.de/dataset/steel-inspection-document-mapro) — Manufacturing-X AAS → PMDCo conversion - [pmd-x-cross-dataspace-demo](https://dataportal.material-digital.de/dataset/pmd-x-cross-dataspace-demo) — joint assembly graph and cross-dataspace SPARQL queries An example query on the SAMM graph can be found here: [SAMM-Query](https://dataportal.material-digital.de/sparklis/?title=cross-project-use-case&endpoint=https%3A%2F%2Fdataportal.material-digital.de%2Fdataset%2Ff2bca6a2-04df-47cb-9439-589e46ba60e2%2Ffuseki%2F%24%2Fsparql&sparklis-query=%5BVId%5DReturn%28Det%28An%288%2CModif%28Select%2CUnordered%29%2CClass%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23MaterialData%22%29%29%2CSome%28And%28Rel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23materialInformation%22%2CFwd%2CDet%28An%2848%2CModif%28Select%2CUnordered%29%2CThing%29%2CSome%28And%28Rel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23materialIdentifier%22%2CFwd%2CDet%28An%28122%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23materialName%22%2CFwd%2CDet%28An%28121%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%29%29%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23mechanicalProperty%22%2CFwd%2CDet%28An%2847%2CModif%28Select%2CUnordered%29%2CThing%29%2CSome%28And%28Rel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23flexuralModulus%22%2CFwd%2CDet%28An%28163%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23flexuralStrength%22%2CFwd%2CDet%28An%28162%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23impactStrength%22%2CFwd%2CDet%28An%28161%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23strainAtBreak%22%2CFwd%2CDet%28An%28160%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23stressAtBreak%22%2CFwd%2CDet%28An%28159%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23youngsModulus%22%2CFwd%2CDet%28An%28158%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%29%29%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23physicalProperty%22%2CFwd%2CDet%28An%2846%2CModif%28Select%2CUnordered%29%2CThing%29%2CSome%28Rel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23density%22%2CFwd%2CDet%28An%28199%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%29%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23thermophysicalProperty%22%2CFwd%2CDet%28An%2845%2CModif%28Select%2CUnordered%29%2CThing%29%2CSome%28And%28Rel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23glassTransitionTemperature%22%2CFwd%2CDet%28An%28240%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23humidity%22%2CFwd%2CDet%28An%28239%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23linearThermalExpansionCoefficient%22%2CFwd%2CDet%28An%28238%2CModif%28Select%2CUnordered%29%2CThing%29%2CSome%28And%28Rel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23linearThermalExpansionCoefficientParallel%22%2CFwd%2CDet%28An%28277%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23linearThermalExpansionCoefficientTransverse%22%2CFwd%2CDet%28An%28276%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%29%29%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23meltingTemperature%22%2CFwd%2CDet%28An%28237%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23pvt%22%2CFwd%2CDet%28An%28236%2CModif%28Select%2CUnordered%29%2CThing%29%2CSome%28And%28Rel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23pressure%22%2CFwd%2CDet%28An%28315%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23specificVolume%22%2CFwd%2CDet%28An%28314%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23temperature%22%2CFwd%2CDet%28An%28313%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%29%29%29%29%2CRel%28%22urn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23waterAbsorption%22%2CFwd%2CDet%28An%28235%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%29%29%29%29%2CRel%28%22http%3A%2F%2Fwww.w3.org%2F1999%2F02%2F22-rdf-syntax-ns%23type%22%2CFwd%2CDet%28An%2844%2CModif%28Select%2CUnordered%29%2CThing%29%2CSome%28Rel%28%22http%3A%2F%2Fwww.w3.org%2F1999%2F02%2F22-rdf-syntax-ns%23type%22%2CFwd%2CDet%28An%2885%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%29%29%29%29%29%29%29&sparklis-path=DDDRRRDDDRRRRDD&entity_lexicon_select=http%3A%2F%2Fwww.w3.org%2F2000%2F01%2Frdf-schema%23label&concept_lexicons_select=http%3A%2F%2Fwww.w3.org%2F2000%2F01%2Frdf-schema%23label%29 After running the INSERT SPARQL query with the [HTML helper](https://dataportal.material-digital.de/dataset/cross-project-use-case/resource/source record/) on the update query endpoint, the SAMM document is transformed into a simple PMDCo knowledge graph. The PMDCo graph can be queried with this example: [PMDCo-Query](https://dataportal.material-digital.de/sparklis/?title=Core+English+DBpedia&endpoint=https%3A%2F%2Fdataportal.material-digital.de%2Fdataset%2Ff2bca6a2-04df-47cb-9439-589e46ba60e2%2Ffuseki%2F%24%2Fsparql&sparklis-query=%5BVId%5DReturn%28Det%28An%288%2CModif%28Select%2CUnordered%29%2CClass%28%22http%3A%2F%2Fpurl.obolibrary.org%2Fobo%2FBFO_0000040%22%29%29%2CSome%28And%28Rel%28%22http%3A%2F%2Fpurl.obolibrary.org%2Fobo%2FRO_0000086%22%2CFwd%2CDet%28An%2845%2CModif%28Select%2CUnordered%29%2CThing%29%2CSome%28And%28Rel%28%22http%3A%2F%2Fwww.w3.org%2F1999%2F02%2F22-rdf-syntax-ns%23type%22%2CFwd%2CDet%28An%2882%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22http%3A%2F%2Fpurl.obolibrary.org%2Fobo%2FIAO_0000417%22%2CFwd%2CDet%28An%2881%2CModif%28Select%2CUnordered%29%2CThing%29%2CSome%28Rel%28%22http%3A%2F%2Fpurl.obolibrary.org%2Fobo%2FOBI_0001938%22%2CFwd%2CDet%28An%28118%2CModif%28Select%2CUnordered%29%2CThing%29%2CSome%28And%28Rel%28%22https%3A%2F%2Fqudt.org%2Fschema%2Fqudt%2FnumericValue%22%2CFwd%2CDet%28An%28155%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22https%3A%2F%2Fqudt.org%2Fschema%2Fqudt%2Funit%22%2CFwd%2CDet%28An%28154%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%29%29%29%29%29%29%29%29%29%29%29%2CRel%28%22http%3A%2F%2Fwww.w3.org%2F2000%2F01%2Frdf-schema%23label%22%2CFwd%2CDet%28An%28193%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%2CRel%28%22http%3A%2F%2Fwww.w3.org%2F1999%2F02%2F22-rdf-syntax-ns%23type%22%2CFwd%2CDet%28An%28191%2CModif%28Select%2CUnordered%29%2CThing%29%2CNone%29%29%29%29%29%29&sparklis-path=D&entity_lexicon_select=http%3A%2F%2Fwww.w3.org%2F2000%2F01%2Frdf-schema%23label&concept_lexicons_select=http%3A%2F%2Fwww.w3.org%2F2000%2F01%2Frdf-schema%23label%29 The original JSON payload can be reconstructed from the SAMM triples using this [JSON-Query](https://dataportal.material-digital.de/dataset/source record/fuseki/%24/sparql?query=PREFIX+rdf%3A+%3Chttp%3A%2F%2Fwww.w3.org%2F1999%2F02%2F22-rdf-syntax-ns%23%3E%0APREFIX+n1%3A+%3Curn%3Asamm%3Aio.catenax.material_data%3A1.0.0%23%3E%0APREFIX+n3%3A+%3Curn%3Asamm%3Aorg.eclipse.esmf.samm%3Ameta-model%3A2.2.0%23%3E%0A%0ASELECT+%28CONCAT%28%0A++%27%7B%27%2C%0A++++%3FsectionsJson%2C+%27%2C%27%2C%0A++++%27%22thermophysicalProperty%22%3A%7B%27%2C+%3FthermoScalarsJson%2C%0A++++++%27%2C%22linearThermalExpansionCoefficient%22%3A%7B%27%2C+%3FltecJson%2C+%27%7D%7D%2C%27%2C%0A++++%27%22pvt%22%3A%27%2C+%3FpvtJson%2C%0A++%27%7D%27%0A%29+AS+%3Fjson%29%0A%0AWHERE+%7B%0A%0A++%7B%0A++++SELECT+%3Fmat%0A++++++%28CONCAT%28%27%5B%27%2C+GROUP_CONCAT%28%3FpvtEntry+%3B+SEPARATOR%3D%27%2C%27%29%2C+%27%5D%27%29+AS+%3FpvtJson%29%0A++++WHERE+%7B%0A++++++%7B%0A++++++++SELECT+%3Fmat+%3Fpvt%0A++++++++++%28CONCAT%28%27%7B%27%2C+GROUP_CONCAT%28%0A++++++++++++CONCAT%28%27%22%27%2C+STRAFTER%28STR%28%3Fp%29%2C+%27%23%27%29%2C+%27%22%3A%27%2C%0A+++++++++++++++++++IF%28REGEX%28STR%28%3Fv%29%2C+%27%5E-%3F%5B0-9%5D%2B%28%5C%5C.%5B0-9%5D%2B%29%3F%28%5BeE%5D%5B%2B-%5D%3F%5B0-9%5D%2B%29%3F%24%27%29%2C%0A++++++++++++++++++++++STR%28%3Fv%29%2C%0A++++++++++++++++++++++CONCAT%28%27%22%27%2C+STR%28%3Fv%29%2C+%27%22%27%29%29%29%0A++++++++++++%3B+SEPARATOR%3D%27%2C%27%29%0A++++++++++%2C+%27%7D%27%29+AS+%3FpvtEntry%29%0A++++++++WHERE+%7B%0A++++++++++%3Fmat+a+n1%3AMaterialData+.%0A++++++++++%3Fmat+n1%3AthermophysicalProperty%2Fn1%3Apvt+%3Fpvt+.%0A++++++++++%3Fpvt+%3Fp+%3Fv+.%0A++++++++++FILTER%28isLiteral%28%3Fv%29+%26%26+%3Fp+%21%3D+rdf%3Atype%29%0A++++++++%7D%0A++++++++GROUP+BY+%3Fmat+%3Fpvt%0A++++++%7D%0A++++%7D%0A++++GROUP+BY+%3Fmat%0A++%7D%0A%0A++%7B%0A++++SELECT+%3Fmat%0A++++++%28GROUP_CONCAT%28%0A++++++++CONCAT%28%27%22%27%2C+STRAFTER%28STR%28%3Fp%29%2C+%27%23%27%29%2C+%27%22%3A%27%2C%0A+++++++++++++++IF%28REGEX%28STR%28%3Fv%29%2C+%27%5E-%3F%5B0-9%5D%2B%28%5C%5C.%5B0-9%5D%2B%29%3F%28%5BeE%5D%5B%2B-%5D%3F%5B0-9%5D%2B%29%3F%24%27%29%2C%0A++++++++++++++++++STR%28%3Fv%29%2C%0A++++++++++++++++++CONCAT%28%27%22%27%2C+STR%28%3Fv%29%2C+%27%22%27%29%29%29%0A++++++++%3B+SEPARATOR%3D%27%2C%27%29+AS+%3FltecJson%29%0A++++WHERE+%7B%0A++++++%3Fmat+a+n1%3AMaterialData+.%0A++++++%3Fmat+n1%3AthermophysicalProperty%2Fn1%3AlinearThermalExpansionCoefficient+%3Fltec+.%0A++++++%3Fltec+%3Fp+%3Fv+.%0A++++++FILTER%28isLiteral%28%3Fv%29+%26%26+%3Fp+%21%3D+rdf%3Atype%29%0A++++%7D%0A++++GROUP+BY+%3Fmat%0A++%7D%0A%0A++%7B%0A++++SELECT+%3Fmat%0A++++++%28GROUP_CONCAT%28%0A++++++++CONCAT%28%27%22%27%2C+STRAFTER%28STR%28%3Fp%29%2C+%27%23%27%29%2C+%27%22%3A%27%2C%0A+++++++++++++++IF%28REGEX%28STR%28%3Fv%29%2C+%27%5E-%3F%5B0-9%5D%2B%28%5C%5C.%5B0-9%5D%2B%29%3F%28%5BeE%5D%5B%2B-%5D%3F%5B0-9%5D%2B%29%3F%24%27%29%2C%0A++++++++++++++++++STR%28%3Fv%29%2C%0A++++++++++++++++++CONCAT%28%27%22%27%2C+STR%28%3Fv%29%2C+%27%22%27%29%29%29%0A++++++++%3B+SEPARATOR%3D%27%2C%27%29+AS+%3FthermoScalarsJson%29%0A++++WHERE+%7B%0A++++++%3Fmat+a+n1%3AMaterialData+.%0A++++++%3Fmat+n1%3AthermophysicalProperty+%3Fthermo+.%0A++++++%3Fthermo+%3Fp+%3Fv+.%0A++++++FILTER%28isLiteral%28%3Fv%29+%26%26+%3Fp+%21%3D+rdf%3Atype%29%0A++++%7D%0A++++GROUP+BY+%3Fmat%0A++%7D%0A%0A++%7B%0A++++SELECT+%3Fmat+%28GROUP_CONCAT%28%3FsectionJson+%3B+SEPARATOR%3D%27%2C%27%29+AS+%3FsectionsJson%29%0A++++WHERE+%7B%0A++++++%7B%0A++++++++SELECT+%3Fmat+%3FsectionName%0A++++++++++%28CONCAT%28%27%22%27%2C+%3FsectionName%2C+%27%22%3A%7B%27%2C%0A++++++++++++GROUP_CONCAT%28%0A++++++++++++++CONCAT%28%27%22%27%2C+STRAFTER%28STR%28%3Fp%29%2C+%27%23%27%29%2C+%27%22%3A%27%2C%0A+++++++++++++++++++++IF%28REGEX%28STR%28%3Fv%29%2C+%27%5E-%3F%5B0-9%5D%2B%28%5C%5C.%5B0-9%5D%2B%29%3F%28%5BeE%5D%5B%2B-%5D%3F%5B0-9%5D%2B%29%3F%24%27%29%2C%0A++++++++++++++++++++++++STR%28%3Fv%29%2C%0A++++++++++++++++++++++++CONCAT%28%27%22%27%2C+STR%28%3Fv%29%2C+%27%22%27%29%29%29%0A++++++++++++++%3B+SEPARATOR%3D%27%2C%27%29%2C%0A++++++++++%27%7D%27%29+AS+%3FsectionJson%29%0A++++++++WHERE+%7B%0A++++++++++%3Fmat+a+n1%3AMaterialData+.%0A++++++++++n1%3AMaterialData+n3%3Aproperties%2Frdf%3Arest%2A%2Frdf%3Afirst+%3FsectionProp+.%0A++++++++++BIND%28STRAFTER%28STR%28%3FsectionProp%29%2C+%27%23%27%29+AS+%3FsectionName%29%0A++++++++++FILTER%28%3FsectionName+%21%3D+%27thermophysicalProperty%27%29%0A++++++++++%3Fmat+%3FsectionProp+%3FsectionInst+.%0A++++++++++%3FsectionInst+%3Fp+%3Fv+.%0A++++++++++FILTER%28isLiteral%28%3Fv%29+%26%26+%3Fp+%21%3D+rdf%3Atype%29%0A++++++++%7D%0A++++++++GROUP+BY+%3Fmat+%3FsectionName%0A++++++%7D%0A++++%7D%0A++++GROUP+BY+%3Fmat%0A++%7D%0A%0A%7D%29
This dataset documents the conversion of a steel product inspection document from the **Manufacturing-X dataspace** into a **[PMDCo](https://github.com/materialdigital/core-ontology)**-conformant knowledge graph. The source data is an [Asset Administration Shell (AAS) inspection document](https://dataportal.material-digital.de/dataset/source record/resource/source record/download/inspectiondocument_316_4401_alloy.json) for cold-rolled stainless steel 316/4401, conforming to the EN 10204 standard as used in the Manufacturing-X dataspace. ## Conversion Pipeline 1. The [AAS inspection document](https://dataportal.material-digital.de/dataset/source record/resource/source record/download/inspectiondocument_316_4401_alloy.json) is loaded into a triplestore using the [AAS2KG tool](https://github.com/MI-FraunhoferIWM/AAS2KG-inspection-documents-of-steel-products) 2. A [SPARQL CONSTRUCT query](https://dataportal.material-digital.de/dataset/source record/resource/source record/download/inspectiondocument_aas2kg_mapping.sparql) transforms the AAS RDF into PMDCo-conformant triples, extracting mechanical properties (tensile strength, yield strength, elongation) and chemical composition (9 elements) as PMDCo quality entities with QUDT-typed measurement datums 3. The [output graph](https://dataportal.material-digital.de/dataset/source record/resource/source record/download/inspectiondocument_316_4401_alloy_pmdcore.ttl) is a standalone PMDCo knowledge graph of the stainless steel material ## Part of Cross-Dataspace Demonstration This dataset is part of a three-dataset series: - [cross-project-use-case](https://dataportal.material-digital.de/dataset/cross-project-use-case) — Catena-X SAMM → PMDCo conversion - **This dataset** — Manufacturing-X AAS → PMDCo conversion - [pmd-x-cross-dataspace-demo](https://dataportal.material-digital.de/dataset/pmd-x-cross-dataspace-demo) — joint assembly graph and cross-dataspace SPARQL queries The pipeline is demonstrated here https://github.com/MI-FraunhoferIWM/AAS2KG-inspection-documents-of-steel-products and the RDF data generated is exported into DSMS platform https://pmdx.materials-data.space/knowledge/dataset/inspectiondocument316-4401bb791e14-2532-46c7-a7ea-82d332bd35d3-bfbb73ef
pmd3.x Version der 42CrMoS4 Zugversuchsdaten (https://github.com/materialdigital/demodata_tensiletest_42CrMoS4/) Demonstration of modelling of material charaterization experiments with PMDco. Results of tensile tests on round bar specimens are reported. The material tested is the quenched and tempered steel 42CrMoS4. The aim of the test series is to determine the influence of different heat treatments on the tensile strength and behavior under tensile loading. Exemplary micrographs and microstructure information are provided. The compilation of all related information is still ongoing. The processes of specimen machining, heat treatment, tensile testing, and microstructure analysis have initially been described in PMDCO-2.07 based on the PMD Tensile Test Ontology (TTO). Within this dataset, a mapping in PMDCO-3.x is executed. However, the results are not officially approved. Examples of SPARQL queries are provided.
KupferDigital mechanical testing dataset from BAM for the tensile test data of sample D1
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.
material_data is a MatPortal dataset catalogue entry listed under EDCar, catalogued under source association source record. It includes 8 linked resources with formats such as JSON, text/turtle, yaml, ttl, including MaterialData-sample.json, io.catenax.material_data_1.0.0.ttl, material_data_rules.yaml. Keywords include material data. The original short source note was: Material data from catenax models. It is published in MatPortal by admin for dataset discovery, linked-data browsing, and assistant/RAG indexing.
Using the payload to PMD knowledge graph pipeline developed at IWM (Thomas Hanke, Matthias Büschelberger) for Material Data transfer BASF - Bosch