Supplementary material to: A refined age calibrated paleosecular variation and relative paleointensity stack for the NW Barents Sea: implication for geomagnetic field behavior during the Holocene.

• Main Authors: Caricchi, Chiara, Sagnotti, Leonardo, Campuzano, Saioa A., Lucchi, Renata Giulia, Macrì, Patrizia, Rebesco, Michele, Camerlenghi, Angelo
• Other Authors: Paleomagnetic Laboratory (INGV, Italy)
• Format: Dataset
• Language: English
• Published: GFZ Data Services 2020
• Subjects: Paleomagnetism; Geomagnetic paleosecular variation; Relative paleointensity; Marine sediment cores; Arctic region; Barents Sea; Holocene; EPOS; multi-scale laboratories; paleomagnetic and magnetic data; European Plate Observing System; EARTH SCIENCE > PALEOCLIMATE > OCEAN/LAKE RECORDS > PALEOMAGNETIC DATA; EARTH SCIENCE > PALEOCLIMATE > OCEAN/LAKE RECORDS > SEDIMENTS; EARTH SCIENCE > PALEOCLIMATE > OCEAN/LAKE RECORDS > STRATIGRAPHIC SEQUENCE; compound material > sedimentary material; Phanerozoic > Cenozoic > Quaternary; Submarine; remanent magnetisation > demagnetisation type AF; Arctic; Svalbard; Longyearbyen; Svalbard Archipelago; Tromsø; Storfjorden; Spitsbergen
• Online Access: https://doi.org/10.5880/fidgeo.2020.002

Abstract This dataset includes paleomagnetic and rock magnetic analyses from four sediment cores collected on continental slope of Storfjorden and Kveithola trough‐mouth fans (western Spitsbergen margin, southern Svalbard archipelago). In detail, piston core SV-04 was collected during the Spanish SVAIS cruise on board the BIO Hespérides (Longyearbyen, July 29 – August 17, 2007); gravity cores EG-02 and EG-03 were collected during the EGLACOM cruise on board the RV OGS-Explora (Kristinsund, July 07 – August, 2008) and gravity core GeoB17603-3 was collected during the MSM30-CORIBAR cruise on board the RV Maria S. Merian (Tromsø, July 16 – August 15, 2013).The dataset gave the opportunity to reconstruct variation of past geomagnetic field at high latitude and to refine the age-calibrated Holocene PSV and relative paleointensity (RPI) stack curves derived from marine sedimentary cores retrieved in the Northwestern Barents Sea (NBS). Data are presented as one metadata table with definitions of the column heads and four tables with the data on the measured rock magnetic and paleomagnetic parameters and 3 tables with the results of data analyses and elaboration.List of tables is as follows:1) Metadata: definition of columns heads;2) GeoB17603-3: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core GeoB17603-3;3) EG02: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core EG02;4) EG03: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core EG03;5) SV04: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core SV04;6) Cores Correlation: GeoB17603-3 depth (cm) and ARM (A/m) down-core variations for core GeoB17603-3 (master core); EG02 depth (cm), EG02 depth transferred to GeoB17603-3 depth (cm), ARM (A/m) down-core for core EG02 and correlation tie points; EG03 depth (cm), EG03 depth transferred (cm), ARM (A/m) down-core and correlation tie points; SV04 depth (cm), SV04 transferred to GeoB17603-3 (cm), ARM (A/m) down-core for core SV04 and correlation tie points;7) Age model: age model for Core GeoB17603-3; EG02; EG03; SV04; 8) NBS stack: paleomagnetic inclination, declination and RPI variations for NBS stack. In order to define high-resolution correlation between the cores the along-core variation of rock magnetic and paleomagnetic parameters (Sagnotti et al., 2011; Caricchi et al., 2018) have been integrated with the distribution of characteristic lithofacies (Lucchi et al., 2013), and the available age constraints (Sagnotti et al., 2011; Caricchi et al., 2018). Core to core correlation has been reconstructed by means of the StratFit software (Sagnotti and Caricchi, 2018), which is based on the Excel forecast function and linear regression between subsequent couples of selected tie-points.The data are presented as one Excel sheet with seven tables and in tab-delimited ASCII format in the zip folder: 2020-002_Caricchi-et-al_data-txt.zip.