Data supplement to: A high-resolution geomagnetic relative paleointensity record from the Arctic Ocean deep water gateway deposits during the last 60 ky

This data publication includes the paleomagnetic and rock magnetic dataset from two Calypso giant piston cores collected at the crest of the Bellsund (GS191-01PC) and Isfjorden (GS191-02PC) sediment drifts during the Eurofleets-2 PREPARED cruise, on board the R/V G.O. Sars (Lucchi et al., 2014). These sediments drift are located on the eastern side of the Fram Strait (western Spitsbergen margin).The dataset gave the opportunity to define the behavior of past geomagnetic field at high latitude and to constrain the palaeoclimatic events that occurred in a time framework spanning Marine Isotope Stage (MIS) 3 to Holocene (Caricchi et al., in press). The data are provided as raw data in .dat format and interpreted data in .xlx and tab-delimited text formats. The raw data files can be opened using a text-editor, MS Excel or equivalent software.

The interpreted data are presented as a metadata table with definitions of the column heads and 5 individual tables with the content:

  • Metadata: definition of columns heads

  • Rock Magnetic-Paleomag Data 01: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); ARM/k (A/m); MDF (mT); ΔGRM/ΔNRM; NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core GS191-01PC

  • Rock Magnetic-Paleomag Data 02: down core variation of rock magnetic and paleomagnetic data [k (10E-05 SI); ARM (A/m); ARM/k (A/m); MDF (mT); ΔGRM/ΔNRM; NRM (A/m); MAD (°); Incl PCA (°) Decl PCA (°)] for Core GS191-02PC

  • Cores Correlation: Depth of Core GS191-02PC and depth of Core GS191-02PC correlated to Core GS191-01PC, NRM (A/m); ARM(A/m) and RPI down-core variations for core GS191-02PC; Depth of Core GS191-01PC NRM (A/m); ARM(A/m) and RPI down-core variations for core GS191-01PC; tie points values.

  • Age Model 01: age model for Core GS191-01PC

  • Age Model 02: age model for Core GS191-01PC

Raw data were measured at the paleomagnetic laboratory of INGV and have been analysed by DAIE software (Sagnotti, 2013). The obtained along-core variation of rock magnetic and paleomagnetic trends have been integrated with the distribution of characteristic lithofacies and the 14C ages in order to define high-resolution correlation between the cores. Core to core correlation has been computed by means of StratFit software (Sagnotti and Caricchi, 2018). The correlation process is based on the Excel forecast function and linear regression between subsequent couples of selected tie-points. This process results in the estimate of the equivalent depth of the correlated curve (core GS191-02 PC) into the depth scale of the “master” curve (GS191-01PC). Using the same method and taking into account the constraints provided by the calibrated radiocarbon ages and the litostratigraphic information, PREPARED cores have been compared to RPI and inclination variations expected at the core sites according to global geomagnetic field models (SHA.DIF.14k of Pavón-Carrasco et al., 2014; GGF.110k of Panovska et al., 2018).

Additional Info

Field Value
Source http://doi.org/doi:10.5880/fidgeo.2019.011
Author Caricchi, Chiara (INGV Istituto Nazionale di Geofisica e Volcanologia, Rome, Italy), Lucchi, Renata Giulia (OGS Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Trieste, Italy), Sagnotti, Leonardo (INGV Istituto Nazionale di Geofisica e Volcanologia, Rome, Italy), Macrì, Patrizia (INGV Istituto Nazionale di Geofisica e Volcanologia, Rome, Italy), Di Roberto, Alessio (INGV Istituto Nazionale di Geofisica e Volcanologia, Rome, Italy), Del Carlo, Paola (INGV Istituto Nazionale di Geofisica e Volcanologia, Rome, Italy), Husum, Katrine (Norsk Polarinstitutt, Tromso, Norway), Laberg, Ian Sverre (UiT The Arctic University of Norway, Department of Geosciences, Tromso, Norway), Morigi, Caterina (Geological Survey of Denmark and Greenland, Copenhagen, Denmark / Università di Pisa, Pisa, Italy)
Provided by other-lab
Citation Caricchi, Chiara, Lucchi, Renata Giulia, Sagnotti, Leonardo, Macrì, Patrizia, Di Roberto, Alessio, Del Carlo, Paola, Husum, Katrine, Laberg, Ian Sverre, Morigi, Caterina (2020): GFZ Dataservices http://doi.org/doi:10.5880/fidgeo.2019.011
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Dataset contact Caricchi, Chiara ( INGV Istituto Nazionale di Geofisica e Volcanologia, Rome, Italy chiara.caricchi@ingv.it )
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Publication date 2020-04-21
Publisher http://www.gfz-potsdam.de/
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