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Found 21 results.

RStudio codes used to model AFC and FC processes for rocks and minerals of the Chachimbiro Volcanic Complex (CVC) (Ecuador)

Eight (8) RStudio codes written to model REE and Sr isotope compositions plus Y of bulk rocks and minerals from the four stages (CH1 to CH4) of the 400-6 ka old Chachmbiro Volcanic Complex (CVC) in the frontal arc of Northern Ecuador. RStudio Code REE_Modelling_WR_CH1 reports AFC modelling of REE compositions of the average composition of CH1 low SiO2 andesitic rocks from a basaltic parent RStudio Code REE_Modelling_WR_CH2_3 reports AFC modelling of REE compositions of the average composition of CH2-CH3 high SiO2 andesitic rocks from a CH1-type andesitic parent RStudio Code REE_Modelling_WR_CH4 reports AFC modelling of REE compositions of the average composition of CH4 rhyodacitic rocks from a CH1-type andesitic parent RStudio Code REE_Modelling_Cpx_CH1 reports FC modelling of REE compositions of the average composition of a melt in equilibrium with Cpx of CH1 rocks from a CH1-type andesitic parent RStudio Code REE_Modelling_AmphTr_A reports FC modelling of REE compositions of the average composition of a melt in equilibrium with AmphTr_A amphiboles of CVC rocks from a CH1-type andesitic parent RStudio Code REE_Modelling_AmphTr_B reports FC modelling of REE compositions of the average composition of a melt in equilibrium with AmphTr_B amphiboles of CVC rocks from a CH1-type andesitic parent RStudio Code REE_Modelling_AmphTr_C reports FC modelling of REE compositions of the average composition of a melt in equilibrium with AmphTr_C amphiboles of CVC rocks from a CH1-type andesitic parent RStudio Code Sriso_Y_Modelling_CVC reports AFC modelling of CVC rocks in the 87Sr/86Sr versus Y space. These Codes are related to the ms Chiaradia et al. "Progressive build-up of a trans-crustal system beneath an adakite-like volcanic complex (Chachimbiro, Ecuador): an example of an embryonic porphyry Cu system?" by Chiarada et al. (2025). The associated data is available under https://doi.org/10.5880/fidgeo.2024.018 (Chiarada, 2025)

Analytical, modeled, and imaging data of eclogitic clinopyroxene inclusions hosted in diamonds from the Cullinan Mine (South Africa) and the Rassolnaya Placer (Urals Mountains, Russia)

This dataset comprises analytical, modeled, and imaging data of eclogitic clinopyroxene inclusions hosted in diamonds from the Cullinan Mine (South Africa) and the Rassolnaya Placer (Urals Mountains, Russia). Six inclusions containing varying proportions of spongy clinopyroxene (~10–100%) were selected to investigate the mechanisms of spongy clinopyroxene formation. In addition, we provide supplementary figures to Wang et al.(2025) to which these data are supplementary to. Major element compositions of the primary cores and spongy rims of clinopyroxene were analyzed using electron probe microanalysis (EPMA). Pressure–temperature conditions were estimated using conventional thermobarometry and pMELTS modeling, which was also employed to simulate partial melting of primary clinopyroxene and the compositions of resulting melts and spongy clinopyroxene. Raman spectroscopy, FTIR, and photoluminescence data were used to assess volatile contents and structural features. Back-scattered electron (BSE) imaging and CT scans provide 2D and 3D textural constraints. Data are organized into two main tables and ten supplementary tables (Tables S1–S10), which include sulfide inclusion compositions, Raman peak data, and modeling outputs. Fifteen supplementary figures (S1–S15) include BSE images, compositional variation plots, and CT scan visualizations. Two CT scan videos. All data are provided in open file formats (.xlsx, .docx, .avi), with accompanying metadata and documentation to ensure transparency and reproducibility. Data collection took place between 2023.06 and 2025.01, and no physical sampling campaign was required, as the materials were sourced from curated diamond specimens. This dataset supports the manuscript “Formation of Spongy Clinopyroxene: Insights from Eclogitic Inclusions in Diamonds” and adheres to FAIR data principles.

Radiometric Dates from the South American Andes and Adjacent Areas: A Compilation - part 1 igenous rocks

A compilation of 39,070 published radiometric dates for igneous rocks from the South American Andes and adjacent parts of South America have been tabulated for access by researchers via GEOROC Expert Datasets. The compilation exists as a spreadsheet for access via MS Excel, Google Sheets, and other spreadsheet applications. Initial igneous compilations were utilized in two publications by the author, Pilger (1981, 1984). The compilations have been added to in subsequent years with the metamorphic and sedimentary compilations separated in the last few years. Locations in latitude and longitude are largely taken from the original source, if provided, with UTM locations maintained and converted; in some cases, sample locations were digitized from electronic maps if coordinates were otherwise not available. Analytical results are not included to prevent the files from becoming too large. The existing compilation incorporates compilations by other workers in smaller regions of the Andes. References to original and compilation sources are included. While I am updating reconstructions of the South American and Nazca/Farallon plates, incorporating recent studies in the three oceans, for comparison with the igneous dates for the past 80 m. y., it is hoped that the spreadsheets will be of value to other workers. Reliability: In most cases the data have been copy/pasted from published or appendix tables. In a few cases, the location has been digitized from published maps; the (equatorial equidistant) maps were copied into Google Earth and positioned according to indicated coordinates, with locations digitized and copied/pasted into the spreadsheet. (It is possible that published maps are conventional Mercator-based, even if not so identified, rather than either equatorial equidistant or Universal Transverse Mercator; this can be a source of error in location. For UTMs, the errors should be minor.) Duplicates are largely recognized by equivalent IDs, dates, and uncertainties. Where primary sources have been accessed, duplicate data points in compilations are deleted. (Analytic data are NOT included.) This compilation is part of a series. Companion compilations of radiometric dates from sedimentary and metamorphic rocks are available at https://doi.org/10.5880/digis.e.2023.006 and https://doi.org/10.5880/digis.e.2023.007, respectively.

Radiogenic isotope compositions of eruption products from the 2019 paroxysmal eruptions at Stromboli Volcano

Other

Global mantle clinopyroxene data (major and trace elements)

Compilation of global major and trace element compositional data for clinopyroxenes from mantle xenoliths from 972 locations worldwide, originally downloaded from the GEOROC database (https://georoc.eu/; accessed 14 July 2020). Each location includes multiple samples and analyses. To exclude unreliable samples, we used only clinopyroxenes with 40–60 wt.% SiO2, <40 wt.% MgO, <30 wt.% FeOT, <26 wt.% CaO, and oxide totals of 98.5–101.5 wt.%. Elements missing from >60% of the entire dataset were not considered. The dataset contains 21,605 observations (rows) corresponding to clinopyroxene major element analyses (SiO2, TiO2, Al2O3, Cr2O3, FeOT, CaO, MgO, MnO, and Na2O), and 2,967 rows of trace element analyses (including Sc, Ti, V, Cr, Ni, Rb, Sr, Y, Zr, Nb, Ba, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Hf, Ta, Pb, Th, and U). Database as published in Qin et al. (2022).

XRD of Cores of the KTB Main Hole HB1a

The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".

XRD of Cuttings of the KTB Main Hole HB1h

The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".

XRD of Cores of the KTB Main Hole HB1d

The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".

XRD of Cuttings of the KTB Main Hole HB1i

The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".

XRD of Cores of the KTB Main Hole HB1i

The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".

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