Reusability-targeted enrichment of sea ice core data

• Published in: Scientific data Vol. 12; no. 1; pp. 465 - 24
• Main Authors: Simson, Anna, Yildiz, Anil, Kowalski, Julia
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 20.03.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 704/106/125; 706/648/697/129; Algorithms; Cores; Data acquisition; Data Descriptor; Humanities and Social Sciences; Metadata; multidisciplinary; Science; Science (multidisciplinary); Sea ice
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-025-04665-x

The Reusability-targeted Enriched Sea Ice Core Database (RESICE) combines data and metadata from 287 sea ice cores. The database enables reuse scenarios such as the validation of physics-based models and the training of data-driven algorithms. RESICE is enriched in two ways. First, RESICE combines data and metadata originating from 138 sources including 107 data sets from the repositories Zenodo, Australian Antarctic Data Center and Pangaea. Second, RESICE contains additional automatically generated metadata tailored to specific reuse scenarios. RESICE is checked for plausibility and consistency, and it allows transparent retracing of each data point to its source. RESICE is accessible via Zenodo and the MOSAiC webODV, and it is extendable through the pyresice Python package. In addition to describing RESICE, we formalize the reuse perspective of an agnostic reuser, uninvolved in data acquisition, and we discuss the process of the cross-source and -repository combination of the database. Despite sources adhering to FAIR, this process is challenging and time-intensive due to the heterogeneity of the sources and their mismatch with reuse requirements.