Six linear regression models for the magnetic susceptibility of sediment core GeoB18530-1

DOI

Six linear regression estimates of magnetic susceptibility were empirically tested for their ability to predict distinct HLs and ILs signal patterns. As predictors, we used MD magnetite content (IRM 20 mT), magnetic grain size (SIRM/X), dolomite and granite proxies (Ca/Sr and K/Fe), bulk porosity (%), dolomite and granite counts, and counts of the major 13 IRD species. As the obtained numbers and residues demonstrate, the rock magnetic proxies yield the best fits, followed by element ratios and porosity. The count-based predictors are incapable of estimating the older HLs 3-6 and ILs 4-6 correctly; their regression coefficients also do not conform to the measured susceptibilities of the IRD species.

Corresponds to Figure 7.

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.971784
Related Identifier IsPartOf https://doi.pangaea.de/10.1594/PANGAEA.971785
Related Identifier References https://doi.pangaea.de/10.1594/PANGAEA.971290
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.971784
Provenance
Creator von Dobeneck, Tilo ORCID logo; Bukar, Shettima ORCID logo
Publisher PANGAEA
Contributor Wang, Yiyun
Publication Year 2024
Funding Reference German Research Foundation https://doi.org/10.13039/501100001659 Crossref Funder ID 221211316 https://gepris.dfg.de/gepris/projekt/221211316 GRK/IRTG 1904: ArcTrain - Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic; Petroleum Technology Development Fund https://doi.org/10.13039/501100009614 Crossref Funder ID Shettima Bukar Overseas postgraduate scholarship to Shettima Bukar
Rights Creative Commons Attribution 4.0 International; Data access is restricted (moratorium, sensitive data, license constraints); https://creativecommons.org/licenses/by/4.0/
OpenAccess false
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 5064 data points
Discipline Earth System Research
Spatial Coverage (-49.235 LON, 42.840 LAT); SE Grand Banks Slope