This database contains a compilation of published zircon geochronology, chemistry and isotope data. The database was created through automated web scraping of the Figshare data repository. Data included U-Pb and Pb-Pb dating, Lu-Hf isotopes, trace element and rare earth element chemistry and isotopes. Where available, metadata on the analytical method, lithology, sample description and sampling coordinates are included. All analyses include a citation and doi link to the original data hosted on Figshare. See metadata table for descriptions of table headers. See associated manuscript for web scraping code.
Compilation of igneous rock compositions from Iran and SE Anatolia Meso-Cenozoic (ISA), including major, trace element and Sr-Nd-Pb isotopic data as published in Lustrino et al. (2021).
Major and trace element concentrations and Sr, Nd, Hf, Pb isotope ratios of global mid ocean ridge and ocean island basalt whole-rock compositions from the GEOROC and PetDB databases (2021-2022). Key publications: Stracke, A., Willig, M., Genske, F., Béguelin, P., & Todd, E. (2022). Chemical Geodynamics Insights From a Machine Learning Approach. In Geochemistry, Geophysics, Geosystems (Vol. 23, Issue 10). https://doi.org/10.1029/2022GC010606 Stracke, A., Willig, M., Genske, F., Béguelin, P., & Todd, E. (2022). Chemical and radiogenic isotope data of ocean island basalts from Tristan da Cunha, Gough, St. Helena, and the Cook-Austral Islands [dataset]. GRO.data. https://doi.org/10.25625/BQENGN
Global database of >20, 000 geochemical analyses of Neogene-Quaternary intraplate volcanic rocks. The database collates major, trace element and Sr-Nd-Pb isotopic data for whole-rock samples <20 Ma old that were published between 1990 and 2020. Database as published in Ball et al. (2021). Key publication: Ball, P. W., White, N. J., Maclennan, J., & Stephenson, S. N. (2021). Global influence of mantle temperature and plate thickness on intraplate volcanism. Nature Communications, 12(1), 2045. https://doi.org/10.1038/s41467-021-22323-9
Compilation of more than 1500 major- and trace-element data points, and 650 Sr-, 610 Nd-, and 570 Pb-isotopic analyses of Mesozoic-Cenozoic (190–0 Ma) magmatic rocks in southern Peru, northern Chile and Bolivia (Central Andean orocline). This compilation was initially published by Mamani et al. (2010) and was based on selected data published up until 2009, combined with new data from that study. Related key publication: Mamani, M., Wörner, G., & Sempere, T. (2010). Geochemical variations in igneous rocks of the Central Andean orocline (13°S to 18°S): Tracing crustal thickening and magma generation through time and space. GSA Bulletin, 122(1–2), 162–182. https://doi.org/10.1130/B26538.1
This data publication includes particle size distribution data of natural volcanic ash samples used as starting material for laboratory experiments simulating the aggregation/disaggregation of colliding volcanic ash particles. Full details of the experimental method can be found in Del Bello et. al. (2015) and in the data description file provided here.Here we report raw particle size distribution data obtained through separation analysis. Two types of volcanic ash were analysed: i) andesitic ash from the Sakurajima volcano (Japan), collected from July 2013 deposits (named Sak sample); ii) phonolitic ash collected from the basal fallout layer of the ~10 ka old Pomici Principali eruptive unit [Di Vito et al., 1999]) of the Campi Flegrei (named Ppa). For both compositions, 3 different starting materials were obtained by hand sieving the natural samples into three main particle size classes: (i) <32 μm, (ii) 32–63 μm, and (iii) 63–90 μm. For the phonolitic composition Ppa two additional starting materials were obtained by mixing the <32 μm and the 32–63 μm classes in known proportions. For each starting material, the grain size distribution of the sample was measured by a multiwavelength separation analyzer (LUMIReader®, https://www.lum-gmbh.com/lumireader_en.html). This device measures space and time resolved profiles of the transmitted light across the water-diluted sample (5% solid content) during sedimentation of particles. The cumulative volume-weighted particle size distribution is obtained from the extinction profiles using the multi-wavelength Particle size Analyser modulus (PSA). Details on the sample preparation procedure can be found in Detloff et al. (2006). For each measurement performed (see Table 1), a pdf file and a excel file are provided. The pdf file lists the analysis summary, including a description of the analysis settings and conditions, materials used, and distribution model adopted for the fit. It also provides graphs of the obtained volume weighted cumulative grain size distribution, and of the measured transmission profiles for each wavelength (870 nm, 630 nm and 470 nm, respectively). The Excel (*.xlsx format) file include 4 datasheets, listing the results (sheet name ending *_R) and the fit data (sheet names ending *_F01,*_F02, *_F03) obtained for the different instrument wavelength. In each datasheet the following data are listed in the columns: particle grain size (x3 in µm), volume weighted distribution (Q3(x) in %), Martin diameter (x3m in µm), volume weighted density distribution (q3(x) in 1/µm). The fit datasheets also include information on the fit such as distribution model used and distribution parameters (quantiles, median, standard deviation, span, etc..).A full list of the files included is given in List_of_files_DelBello et al 2017.pdf.
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