Data

A Structured Human-Annotated Dataset for Food Extrusion Literature

Commonwealth Scientific and Industrial Research Organisation
Pennells, Jordan
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/r4y6-r260&rft.title=A Structured Human-Annotated Dataset for Food Extrusion Literature&rft.identifier=https://doi.org/10.25919/r4y6-r260&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This dataset is a manually curated collection of structured data extracted from peer-reviewed food extrusion research articles. The dataset captures key parameters relevant to food extrusion processes, including equipment configurations, processing conditions, formulation details, and characterization methods. It is intended to support literature synthesis, meta-analyses, and knowledge representation in food extrusion research. This dataset provides a searchable, structured repository for researchers to efficiently access and analyse trends in food extrusion studies beyond what is typically available in standard academic databases.\nLineage: This dataset was manually curated from 335 peer-reviewed food extrusion research articles sourced from the Web of Science database. The literature search used the following search syntax: extru* (Topic) AND food (Topic) NOT “packaging” (Topic). WoS Category filter: Food Science Technology, Nutrition & Dietetics, and Agriculture Dairy Animal Science. Key parameters—including equipment configurations, processing conditions, formulation details, and characterisation methods—were extracted, structured, and categorised by a domain expert in food engineering following a predefined schema. Citation screening was performed to ensure dataset quality.&rft.creator=Pennells, Jordan &rft.date=2025&rft.edition=v1&rft_rights=Creative Commons Attribution-Noncommercial 4.0 Licence https://creativecommons.org/licenses/by-nc/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2025.&rft_subject=food extrusion&rft_subject=structured dataset&rft_subject=literature extraction&rft_subject=food processing&rft_subject=food engineering&rft_subject=extrusion parameters&rft_subject=product characterisation&rft_subject=Food technology&rft_subject=Food sciences&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Food engineering&rft_subject=Chemical engineering&rft_subject=ENGINEERING&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution-Noncommercial 4.0 Licence
https://creativecommons.org/licenses/by-nc/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2025.

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Brief description

This dataset is a manually curated collection of structured data extracted from peer-reviewed food extrusion research articles. The dataset captures key parameters relevant to food extrusion processes, including equipment configurations, processing conditions, formulation details, and characterization methods. It is intended to support literature synthesis, meta-analyses, and knowledge representation in food extrusion research. This dataset provides a searchable, structured repository for researchers to efficiently access and analyse trends in food extrusion studies beyond what is typically available in standard academic databases.
Lineage: This dataset was manually curated from 335 peer-reviewed food extrusion research articles sourced from the Web of Science database. The literature search used the following search syntax: "extru*" (Topic) AND "food" (Topic) NOT “packaging” (Topic). WoS Category filter: Food Science Technology, Nutrition & Dietetics, and Agriculture Dairy Animal Science. Key parameters—including equipment configurations, processing conditions, formulation details, and characterisation methods—were extracted, structured, and categorised by a domain expert in food engineering following a predefined schema. Citation screening was performed to ensure dataset quality.

Available: 2025-02-27

Data time period: 2022-10-17 to 2025-02-26

This dataset is part of a larger collection

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