Reusability-targeted enrichment of sea ice core data

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.

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Publication Details

Journal
Scientific Data
Published
2025-03-20
DOI
https://doi.org/10.1038/s41597-025-04665-x
Citations
1
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
3.25

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article

Reusability-targeted enrichment of sea ice core data

Anna Simson, Julia Kowalski, Anil Yıldiz
1 citations
Scientific Data
Research Data Management Practices
3.25
article

Reusability-targeted enrichment of sea ice core data

Anna Simson, Julia Kowalski, Anil Yıldiz
article en
1 citations

Abstract

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.

Scientific DataVol. 12(1)
RWTH Aachen University (DE)
Bundesministerium für Wirtschaft und Energie, Helmholtz Association
Life below water
Openalex Percentile: Top 10%
Research Data Management Practices
3.25
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Reusability-targeted enrichment of sea ice core data — Anna Simson, Julia Kowalski, et al. · Scientific Data (2025) | TGRS Research Map | TGRS