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Paleomagnetic and rock magnetic data from sedimentary core collected at high latitude (NW Barents Sea): reconstructed age models and PSV - RPI stacks for the last 22 kyr

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Mendeley Data2024-06-25 更新2024-06-28 收录
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https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=27c64bbd-2390-11ed-88a2-c7c587541054
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This dataset includes paleomagnetic and rock magnetic analyses from four sediment cores collected on continental slope of Storfjorden (EG-02, EG-03, SV-04) and Kveithola (GeoB17603-3) trough‐mouth fans and two cores collected at the crest of the Bellsund (GS191-01PC) and Isfjorden (GS191-02PC) sediment drifts (NW Barents Sea). The dataset gave the opportunity to reconstruct variation of past geomagnetic field at high latitude for the last 22 kya and define the path of the virtual geomagnetic pole (VGP). Data are presented as two metadata table: one with definitions of the column heads and one with the core details; six 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) Metadata: core details; 3) GS191-01PC: 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 GS191-01PC; 4) GS191-02PC: 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 GS191-02PC; 5) 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; 6) 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; 7) 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; 8) 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; 9) Cores Correlation: GS191-01PC depth (cm) and ARM (A/m) down-core variations for core GS191-01PC (master core); GS191-02PC depth (cm), GS191-02PC depth transferred to GS191-01PC depth (cm), ARM (A/m) down-core for core GS191-02PC and correlation tie points; GeoB17603-3 depth (cm), GeoB17603-3 depth transferred to GS191-01PC depth (cm), ARM (A/m) down-core for core GeoB17603-3 and correlation tie points; EG02 depth (cm), EG02 depth transferred to GS191-01PC depth (cm), ARM (A/m) down-core for core EG02 and correlation tie points; EG03 depth (cm), EG03 depth transferred to GS191-01PC depth (cm), ARM (A/m) down-core and correlation tie points; SV04 depth (cm), SV04 transferred to GS191-01PC (cm), ARM (A/m) down-core for core SV04 and correlation tie points; 10) Age model: age model for Core GS191-01PC; GS191-02PC; EG02; EG03; SV04 and correlation tie points; 11) NBS stack: paleomagnetic inclination, declination and RPI variations for NBS22.2k 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; Caricchi et al., 2019) 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, Caricchi et al., 2019; Caricchi et al., 2020). 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 eleven tables and in tab-delimited ASCII format in the zip folder: 2022-028_Caricchi-et-al_data-txt.zip.

本数据集包含对巴伦支海西北部(NW Barents Sea)斯托尔峡湾(Storfjorden)槽口扇区(采集有EG-02、EG-03、SV-04三根岩芯)与克韦托拉海槽(Kveithola)槽口扇区(采集有GeoB17603-3岩芯)大陆坡的4根沉积物岩芯,以及贝尔松德海脊(Bellsund,GS191-01PC岩芯)和伊斯峡湾(Isfjorden,GS191-02PC岩芯)沉积物漂移顶部的2根岩芯开展的古地磁与岩石磁学分析数据。本数据集可用于重建过去22千年(22 kya)高纬度地区古地磁场的演化历史,并限定虚拟地磁极(virtual geomagnetic pole, VGP)的运动路径。 数据集以两类元数据表、6张岩石磁学与古地磁参数实测数据表,以及3张数据分析与处理结果表的形式呈现。各表清单如下: 1. 元数据表1:列标题定义 2. 元数据表2:岩芯基本信息 3. GS191-01PC岩芯数据表:GS191-01PC岩芯的岩芯剖面岩石磁学与古地磁参数垂向变化[磁化率 k (10×10⁻⁵ SI); 非磁滞剩磁 ARM (A/m); 矫顽力分布中值 MDF (mT); 天然剩磁 NRM (A/m); 剩磁方向最大角偏差 MAD (°); 主成分分析倾角 Incl PCA (°); 主成分分析偏角 Decl PCA (°)] 4. GS191-02PC岩芯数据表:GS191-02PC岩芯的岩芯剖面岩石磁学与古地磁参数垂向变化[磁化率 k (10×10⁻⁵ SI); 非磁滞剩磁 ARM (A/m); 矫顽力分布中值 MDF (mT); 天然剩磁 NRM (A/m); 剩磁方向最大角偏差 MAD (°); 主成分分析倾角 Incl PCA (°); 主成分分析偏角 Decl PCA (°)] 5. EG03岩芯数据表:EG03岩芯的岩芯剖面岩石磁学与古地磁参数垂向变化[磁化率 k (10×10⁻⁵ SI); 非磁滞剩磁 ARM (A/m); 矫顽力分布中值 MDF (mT); 天然剩磁 NRM (A/m); 剩磁方向最大角偏差 MAD (°); 主成分分析倾角 Incl PCA (°); 主成分分析偏角 Decl PCA (°)] 6. EG02岩芯数据表:EG02岩芯的岩芯剖面岩石磁学与古地磁参数垂向变化[磁化率 k (10×10⁻⁵ SI); 非磁滞剩磁 ARM (A/m); 矫顽力分布中值 MDF (mT); 天然剩磁 NRM (A/m); 剩磁方向最大角偏差 MAD (°); 主成分分析倾角 Incl PCA (°); 主成分分析偏角 Decl PCA (°)] 7. SV04岩芯数据表:SV04岩芯的岩芯剖面岩石磁学与古地磁参数垂向变化[磁化率 k (10×10⁻⁵ SI); 非磁滞剩磁 ARM (A/m); 矫顽力分布中值 MDF (mT); 天然剩磁 NRM (A/m); 剩磁方向最大角偏差 MAD (°); 主成分分析倾角 Incl PCA (°); 主成分分析偏角 Decl PCA (°)] 8. GeoB17603-3岩芯数据表:GeoB17603-3岩芯的岩芯剖面岩石磁学与古地磁参数垂向变化[磁化率 k (10×10⁻⁵ SI); 非磁滞剩磁 ARM (A/m); 矫顽力分布中值 MDF (mT); 天然剩磁 NRM (A/m); 剩磁方向最大角偏差 MAD (°); 主成分分析倾角 Incl PCA (°); 主成分分析偏角 Decl PCA (°)] 9. 岩芯对比数据表:包含GS191-01PC(标准岩芯)的深度(cm)与ARM垂向变化;GS191-02PC的深度(cm)、转换为GS191-01PC深度标尺的GS191-02PC深度(cm)、ARM垂向变化及对比锚点;GeoB17603-3的深度(cm)、转换为GS191-01PC深度标尺的GeoB17603-3深度(cm)、ARM垂向变化及对比锚点;EG02的深度(cm)、转换为GS191-01PC深度标尺的EG02深度(cm)、ARM垂向变化及对比锚点;EG03的深度(cm)、转换为GS191-01PC深度标尺的EG03深度(cm)、ARM垂向变化及对比锚点;SV04的深度(cm)、转换为GS191-01PC深度标尺的SV04深度(cm)、ARM垂向变化及对比锚点 10. 年代模式数据表:GS191-01PC、GS191-02PC、EG02、EG03、SV04的年代模式及对比锚点 11. NBS堆叠数据集:NBS22.2k堆叠序列的古地磁倾角、偏角与相对古强度(relative paleointensity, RPI)变化 为实现岩芯间的高分辨率对比,本研究将岩石磁学与古地磁参数的垂向变化(Sagnotti等,2011;Caricchi等,2018;Caricchi等,2019)与特征岩相分布(Lucchi等,2013)及已有年代约束(Sagnotti等,2011;Caricchi等,2018;Caricchi等,2019;Caricchi等,2020)进行整合。岩芯间对比通过基于Excel预测函数与选定制锚点对间线性回归的StratFit软件(Sagnotti和Caricchi,2018)完成。 本数据集以包含11张表格的Excel工作表,以及压缩包"2022-028_Caricchi-et-al_data-txt.zip"中的制表符分隔ASCII格式文件两种形式提供。
创建时间:
2023-06-28
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