XRF core scanner geochemistry, PC1 scores and detrended PC1 scores of sediment core JPC42 from Wide Channel, Chile


Inorganic geochemical data of the JPC42 and KC41 cores obtained by ITRAX XRF core scanning (Cox Analytical Instruments) at the Woods Hole Oceanographic Institution, PC1 scores, and detrended PC1 scores, at a resolution of 2 mm. The XRF scanner was operated with 20 s scan times using a Mo X- Ray tube set to 30 kV and 45 mA. Elemental variations are expressed in terms of centered log-ratios (clr) to avoid dilution effects and to overcome the closed-sum effect and non-negative nature of compositional data (Weltje et al., 2015, doi:10.1007/978-94-017-9849-5_21). The table contains both the raw (cps; counts per second) and processed clr (dimensionless) data. Principal Component Analysis (PCA) was conducted with XLSTAT v2016 and used to examine the covariance within the XRF core scanner data. Increasing PC1 scores are interpreted to represent a relative increase in terrestrial sediment supply, and vice versa.

DOI https://doi.org/10.1594/PANGAEA.950426
Related Identifier https://doi.org/10.1594/PANGAEA.950429
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.950426
Creator Troch, Matthias ORCID logo; Bertrand, Sebastien ORCID logo; Wellner, Julia S ORCID logo; Lange, Carina Beatriz ORCID logo; Hughen, Konrad A (ORCID: 0000-0003-3201-934X)
Publisher PANGAEA
Publication Year 2023
Funding Reference Agencia Nacional de Investigación y Desarrollo https://doi.org/10.13039/501100002848 Crossref Funder ID FONDAP 150100007 ; European Commission https://doi.org/10.13039/501100000780 Crossref Funder ID 040846 ; Ghent University https://doi.org/10.13039/501100004385 Crossref Funder ID 01D30018 UGent BOF project; National Science Foundation https://doi.org/10.13039/100000001 Crossref Funder ID OPP-0338137 https://www.nsf.gov/awardsearch/showAward?AWD_ID=0338137 Collaborative Research: Controls on Sediment Yields from Tidewater Glaciers from Patagonia to Antarctica
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Resource Type Dataset
Format text/tab-separated-values
Size 130792 data points
Discipline Earth System Research
Spatial Coverage (-74.377 LON, -49.915 LAT); Wide Channel, Chile