Dataset for the publication - A labelled property graph Framework for managing vitrimer formulation-, manufacturing-, and material-data: a proof-of-concept study on glass transition temperature

References to related material
datacite.relatedItem.IsSupplementTo

Publication "A labelled property graph Framework for managing vitrimer formulation-, manufacturing-, and material-data: a proof-of-concept study on glass transition temperature"

Description of the data
datacite.resourceType

The dataset includes two measurement protocols (as a txt files) for determining the glass transition temperature of two vitrimer samples, a data schema in JSON and Cypher formats, as well as the resulting graph database in JSON and Cypher formats.

Type of the data
datacite.resourceTypeGeneral

Dataset

Total size of the dataset
datacite.size

171077724

Author
dc.contributor.author

Saske, Bernhard

Author
dc.contributor.author

Sambale, Anna

Author
dc.contributor.author

Dammann, Maximilian

Author
dc.contributor.author

Von den Berg, Nina

Author
dc.contributor.author

Schwoch, Sebastian

Upload date
dc.date.accessioned

2026-06-16T10:49:51Z

Publication date
dc.date.available

2026-06-16T10:49:51Z

Data of data creation
dc.date.created

2026-06-12

Publication date
dc.date.issued

2026-06-16

Abstract of the dataset
dc.description.abstract

The data set is used in the article A labelled property graph Framework for managing vitrimer formulation-, manufacturing-, and material-data: a proof-of-concept study on glass transition temperature. The study investigates the use of a labelled property graph for storing measurement series related to determining the material properties of vitrimers, focusing on glass transition temperature (Tg). Two epoxy/4AFD vitrimer formulations with different resin-to-hardener ratios were analyzed, yielding Tg values of approximately 135.1 ± 0.2 °C and 107.6 ± 0.4 °C, respectively, from differential scanning calorimetry measurements. A custom data model was developed using a labelled property graph approach, designed in Hackolade Studio and implemented in Neo4j, to link experimental data with metadata. The proof of concept demonstrated the model's usability and consistency, highlighting the potential of property graph databases for structured vitrimer data storage.

Public reference to this page
dc.identifier.uri

https://opara.zih.tu-dresden.de/handle/123456789/2731

Public reference to this page
dc.identifier.uri

https://doi.org/10.25532/OPARA-1486

Publisher
dc.publisher

Technische Universität Dresden

Licence
dc.rights

Attribution 4.0 Internationalen

URI of the licence text
dc.rights.uri

http://creativecommons.org/licenses/by/4.0/

Specification of the discipline(s)
dc.subject.classification

4::43

Title of the dataset
dc.title

Dataset for the publication - A labelled property graph Framework for managing vitrimer formulation-, manufacturing-, and material-data: a proof-of-concept study on glass transition temperature

Research instruments
opara.descriptionInstrument

q2000 DSC (Waters / TA Instruments, USA)

Files

Original bundle

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Name:
q2000_EP04976m4AFD_P001.txt
Size:
1.75 MB
Format:
Plain Text
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Name:
Neo4j-Database-Vitrimere-Complete.cypher
Size:
36.17 MB
Format:
Unknown data format
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Neo4j-Database-Vitrimere-Complete.json
Size:
123.38 MB
Format:
Unknown data format
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Name:
q2000_EP049764AFD_P001.txt
Size:
1.75 MB
Format:
Plain Text
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Name:
DB-Schema-Vitrimere-Neo4j.hck.json
Size:
99 KB
Format:
Unknown data format
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Name:
DB-Schema-Vitrimere-Neo4j.cypher
Size:
4.06 KB
Format:
Unknown data format

License bundle

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Name:
license.txt
Size:
3.86 KB
Format:
Item-specific license agreed to upon submission
Description:
Attribution 4.0 International