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12 results for “continental crust”
Data Tables from contribution titled "Joint geophysical-petrological modeling on the Ivrea geophysical body beneath Valsesia, Italy: Constraints on the continental lower crust" published in Geochemistry, Geophysics, Geosystems
<p><strong>TABLE CAPTIONS</strong></p> <p><strong>Table 1: </strong>Average and specific bulk compositions of the representative exposed primitive rocks of the deep lower crust and upper mantle of the IVZ (Balmuccia and Lower Mafic Complex in Valsesia, Finero in Val Cannobina, and Sessera river in Val Sessera) used for the Perple_X calculations using the two thermodynamic models STX11 and HP02. Mn, Ni, P, and Cr were not used for the Perple_X calculations. Mg# is calculated as Mg / (Mg + Fe) (mole fractions). Symbols in the last row indicate the rock compositions that are reported (✓) and not reported (✗) in Figure 5. Average compositions are normalized to 100 wt.% on a volatile-free basis; specific compositions report original totals and H<sub>2</sub>O contents estimated based on the volumetric proportions hydrous minerals (amphibole and phlogopite) at the scale of the bulk rock. References: 1) Voshage et al. (1990); 2) Voshage et al. (1990), Shervais and Mukasa (1991), Hartmann and Wedepohl (1993), Rivalenti et al. (1995), and Mukasa and Shervais (1999); 3) Pin and Sills (1986); 4) Pin and Sills (1986), Shervais and Mukasa (1991), Hartmann and Wedepohl (1993), Rivalenti et al. (1995), and Mukasa and Shervais (1999); 5) Shervais and Mukasa (1991) and Mazzucchelli et al. (2009); 6) Sinigoi et al. (1991; 2011); 7) Hartmann and Wedepohl (1993); 8) Coltorti and Siena (1984); 9) Siena and Coltorti (1989), Lu et al. (1997a; b), and Stähle et al. (2001).</p> <p> </p> <p><strong>Table 2: </strong>Summary of <em>V<sub>P</sub></em> and <em>r</em> from the thermodynamic calculations based on representative rock compositions listed in Table 1. Mineral abbreviations: Pl = plagioclase, Spl = spinel, Grt = garnet, Ky = kyanite, Px = pyroxene, Cr-Di = Cr-diopisde, Am = amphibole, Phl = phlogopite.</p>
Mercury abundance and isotopic composition in granitic rocks: Implications for Hg cycling in the upper continental crust
<p>Mercury (Hg) is a highly volatile metal exhibiting both isotope mass-dependent (MDF, defined as δ<sup>202</sup>Hg) and mass-independent (MIF, expressed as Δ<sup>199</sup>Hg) fractionation. Assessing the Hg isotopic composition of the upper continental crust is crucial for the use of this new geochemical tool for petrogenetic tracing, particularly for understanding crust-mantle interaction. Here, we report Hg isotopic compositions of granitic rocks with distinct source affinity (I-, A-, and S-type) and of metasedimentary enclaves from the South China Craton. The results of more than 100 rock samples show large δ<sup>202</sup>Hg variations of -2.03 to 0.47 ‰ and relatively small Δ<sup>199</sup>Hg variations of -0.16 to 0.09 ‰. The S-type granites studied here exhibit higher δ<sup>202</sup>Hg values (-0.58 to 0.00 ‰; n=57) than their sedimentary protoliths (metasedimentary enclaves; -2.03 to -0.91 ‰; n=7), suggesting significant Hg-MDF during magmatic processes. The Δ<sup>199</sup>Hg values of S-type granites (-0.08 to 0.09 ‰) are indistinguishable from their sedimentary protoliths (-0.16 to 0.02 ‰), suggestive of the absence of Hg-MIF during crustal anatexis and subsequent magmatic differentiation. The I- and A-type granites studied have smaller Δ<sup>199</sup>Hg variations of -0.11 to 0.04 ‰ (n=28) and -0.07 to 0.04 ‰ (n=15), respectively, but are within the range of the S-type granites. The compositional range of all granite variants may be explained by the variable intensity of large-scale MASH (melting-assimilation-storage-homogenization) processes. Our new data combined with previously published data of igneous, sedimentary and metamorphic rocks allow us to estimate that the upper continental crust (UCC) has a Hg abundance of 13.5 ppb and a weighted average δ<sup>202</sup>Hg of -1.15 ± 1.01 ‰ (2SD), which are higher than the corresponding value of the primitive mantle, indicating the enrichment of Hg and δ<sup>202</sup>Hg in the UCC. However, the weighted average Δ<sup>199</sup>Hg value of the UCC (0.03 ± 0.15 ‰; 2SD) is undistinguished from the primitive mantle, suggesting no obvious Hg-MIF during the formation and differentiation of the continental crust.</p>
Dataset for: Heat Transfer and Production in Cratonic Continental Crust: Constraints from U-Pb Thermochronology of Xenoliths from the Siberian Craton
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The dataset for Evaluation of plume-induced continental crust growth rate in early Earth: Insight from integrated petrological-thermo-mechanical modeling
<p>All data of model results for the paper <em>Evaluation of plume-induced continental crust growth rate in early Earth: Insight from integrated petrological-thermo-mechanical modeling</em>.</p> <p>Contents of this dataset includes:</p> <p>A list for models and data of model results are provided in the zip file. </p> <p>The files suffixed *.grd are grid datas that can be draw by GMT.</p> <p>The files suffixed *.info are datas of the evolution of volume of the continental crust and TTGs in the model.</p> <p>The files suffixed *.prn are datas of P-T condtions of continental crust generation by partial melting.</p> <p>The files suffixed *.py are python codes for visualization of the volume of continental crust and P-T datas.</p>
Quartz rheology constrained from constant-load experiments indicate lower strength of the continental crust
<p>Raw mechanical data.</p> <p>Raw EBSD data of the sample OR90.</p>
Supplementary videos for "Identification of continental mantle earthquakes using regional waves propagating into a thinned crust"
<p>These are supplementary videos S1 and S2 described in the supplementary materials to "Identification of continental mantle earthquakes using regional waves propagating into a thinned crust". </p>
Pre-CSRM: A 3-D seismic model of the shallow crust in continental China
<p>This high-resolution shallow three-dimensional seismic model is constructed for the top 10 km of the upper crust in continental China, based on the constraints of P polarization, Rayleigh wave ellipticity and receiver function obtained from records of <strong>3848</strong> seismic stations during 1990 and 2017. The model has a spatial resolution of 0.3 degree * 0.3 degree in the north-south seismic belt and the trans-north China orogen, and 0.5 degree * 0.5 degree in the rest of continental China (except the Tarim basin and southwest Tibet with no station coverage). The seismic constraints used for the construction of the model consist of the <strong>5,439,702</strong> polarization angle measurements from the P-wave waveforms of 9361 tele-seismic earthquakes, the short-period (4 - 8 s) Rayleigh wave ellipticity estimated from the continuous waveforms of seismic ambient noise, and the stacked receiver functions estimated from <strong>2,125,021</strong> original receiver functions calculated based on the waveforms of 9361 tele-seismic events. Please click on <a href="https://doi.org/10.5281/zenodo.8103561"><strong>link</strong></a> for the datasets.</p> <p>中国大陆区域地壳顶部10 km范围内高分辨率浅层三维地震学模型以从中国大陆区域1990 至 2017 年间 <strong>3848</strong> 个台站原始数据提取的 P 波偏振、瑞利波椭率和接收函数作为约束。该模型在南北地震带和华北造山带区域的空间分辨率为 0.3 度 * 0.3 度,在中国大陆其他区域的空间分辨率为 0.5 度 * 0.5 度 (除没有台站覆盖的塔里木盆地和青藏高原西南区域)。构建模型的地震学约束包括从 9361 个远震 的 P 波波形测量的 <strong>5,439,702 </strong>个偏振角度、从连续背景噪声波形测量的短周期 (4 - 8 s) 瑞利波椭率频散、和利用从 9361 个远震事件提取的 <strong>2,125,021</strong> 条接收函数计算得到的单台叠加接收函数。下载上述数据库请点击<strong><a href="https://doi.org/10.5281/zenodo.8103561">链接</a></strong>。</p> <p><strong>Reference</strong>: Xiao, X., Cheng, S., Wu, J., Wang, W., Sun, L., Wang, X., & Wen, L. (2021). Shallow seismic structure beneath the continental China revealed by P-wave polarization, Rayleigh wave ellipticity and receiver function. Geophysical Journal International, 225(2), 998-1019. <strong><a href="https://doi.org/10.1093/gji/ggab022">Paper link</a></strong></p> <p>If you face any problem or issue in the usage of this model, please feel free to communicate with the corresponding author Xiao Xiao (<strong>xiaox.seis@gmail.com</strong>). </p>
Deep mantle component and continental crust remobilization in the source of Vesteris Seamount, East Greenland margin
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Seismic evidence for a weakened thick crust at the Beaufort Sea continental margin
<p>This compressed folder contains raw seismic waveforms used to determine the three-dimensional seismic velocity structure beneath the Beaufort Sea continental margin of northwestern Canada.</p> <p>Estève, C.,<strong> </strong>Liu, Y., Koulakov, I., Schaeffer, A.J, and Audet, P., Seismic evidence for a weakened thick crust at the Beaufort Sea continental margin <em>(Geophysical Research Letters</em>).</p>
Seismic Signature of the Upper Continental Crust: Implications from the thermoelastic properties of Liebermannite and K-hollandite II
<p>This repository contains data used in "Seismic Signature of the Upper Continental Crust: Implications from the thermoelastic properties of Liebermannite and K-hollandite II".</p>
The formation of modern mature continental crust: Evidence from zircon ages, Hf-O isotopes and bulk geochemistry of the Menglian Batholith, SE Tibet
<p>The dataset is the all data used in The formation of modern mature continental crust: Evidence from zircon U-Pb age dating, Hf-O isotopes and geochemistry of the Menglian Batholith, SE Tibet and associated Data Availability Statement</p>
CSRM Level 2 dataset: Pn travel time in the crust beneath station in continental China
<p>This dataset contains a total of 281 Pn travel times in the crust beneath stations (station legs). This dataset results from a project of constructing an uppermost mantle seismic Pn-velocity in continental China (<a href="https://doi.org/10.1029/2022JB025667">Ma et al., 2023, JGR: Solid Earth</a>) (<a href="https://doi.org/10.5281/zenodo.8112759">Model link</a>).</p> <p>本数据库包含了281个台站下方的壳内Pn波走时数据。该数据库源于构建中国大陆区域上地幔顶部Pn波速度模型的工作 (<a href="https://doi.org/10.1029/2022JB025667">Ma et al., 2023, JGR: Solid Earth</a>) (<a href="https://doi.org/10.5281/zenodo.8112759">模型链接</a>)。</p> <p>If you face any problem or issue when using this dataset, please feel free to communicate with the corresponding author Jiayu Ma (<a href="mailto:majy18@mail.ustc.edu.cn">majy18@mail.ustc.edu.cn</a> or<a href="mailto:%20seisbird@gmail.com"> seisbird@gmail.com</a>).</p>
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