Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods.

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Title: Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods.
Authors: Arweiler J; Laboratory of Engineering Thermodynamics, RPTU Kaiserslautern, Erwin-Schrödinger-Straße 44, 67663, Kaiserslautern, Germany., Jungjohann I; Laboratory of Engineering Thermodynamics, RPTU Kaiserslautern, Erwin-Schrödinger-Straße 44, 67663, Kaiserslautern, Germany., Muraleedharan A; Technical University of Munich, Campus Straubing for Biotechnology and Sustainability, Laboratory for Chemical Process Engineering, Uferstraße 53, 94315, Straubing, Germany., Leitte H; Department of Computer Science, RPTU Kaiserslautern, Erwin-Schrödinger-Straße 44, 67663, Kaiserslautern, Germany., Burger J; Technical University of Munich, Campus Straubing for Biotechnology and Sustainability, Laboratory for Chemical Process Engineering, Uferstraße 53, 94315, Straubing, Germany., Münnemann K; Laboratory of Engineering Thermodynamics, RPTU Kaiserslautern, Erwin-Schrödinger-Straße 44, 67663, Kaiserslautern, Germany., Jirasek F; Laboratory of Engineering Thermodynamics, RPTU Kaiserslautern, Erwin-Schrödinger-Straße 44, 67663, Kaiserslautern, Germany. fabian.jirasek@rptu.de., Hasse H; Laboratory of Engineering Thermodynamics, RPTU Kaiserslautern, Erwin-Schrödinger-Straße 44, 67663, Kaiserslautern, Germany.
Source: Scientific data [Sci Data] 2026 Mar 31; Vol. 13 (1). Date of Electronic Publication: 2026 Mar 31.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2052-4463
DOI:10.1038/s41597-026-07124-3