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This dataset is a continuously growing collection of lead isotope reference data. Lead isotopes are an established method to reconstruct the raw material provenance of archaeological objects. They are typically applied to artefacts made of copper, lead, silver, and their alloys. However, also the raw material provenance of other materials such as glass, pigments and pottery was already investigated using lead isotopes. To successfully reconstruct the origin of the raw material, lead isotope signatures from as many as possible suitable raw material occurrences must be known. In the past, large-scaled research projects were carried out to characterise ore deposits especially in the Mediterranean area and Western Europe. However, many of these data are dispersed in the literature and were published in scientific articles or monographs. Consequently, each researcher or at least each research group had to build their own up-to-date database of reference data from the literature. To overcome these restrictions, to facilitate work with lead isotope reference data and particularly to make the data FAIR, i.e., findable, accessible, interoperable and reusable (Wilkinson et al. 2016), these published data are compiled and transferred into a uniform layout. They are further enhanced with additional metadata to facilitate their use in raw material provenance studies. Currently, the database is restricted to ores and minerals as these are the most relevant materials for provenance studies of ancient metals. Future updates will include hitherto uncovered regions but also additional data from countries already present. Slag and other metallurgical (by-) products from ancient sites in close vicinity to ore deposits generally are a genuine representation of the ores utilised in historic times. As such, they are highly relevant for provenance studies and an extension to these materials is therefore planned. GlobaLID is a representation of the collective work of researchers on Pb isotope studies. As such, the database is seen as a community engagement project that invites scientists all over the world to become active contributors of GlobaLID. The initiators of the database dedicate their effort to the continuation and maintenance of the database but only the support of the whole community will allow a rapid and successful growth of GlobaLID.
The project from which the data derived aimed to establish the first systematic study of Cu isotope fractionation during the prehistoric smelting and refining process. For this reason, an experimental approach was used to smelt sulfide copper ore according to reconstructed prehistoric smelting models. The ore was collected by E. Hanning as part of her PhD thesis work from a Bronze Age mining site, the Mitterberg region, Austria (Hanning and Pils 2011) and was made available for the experiments.All starting materials for the experiments such as the natural ore, roasted ore, construction clay, flux, dung (used for the roasting), wood and charcoal (fuel) were natural materials. All firing conditions including the amount of fuel or charging material and the temperatures in the furnaces were recorded, and the experimental procedures were documented in the very detail. In total, 30 experiments were carried out in 4 experimental series. The smelting products, both intermediate products and final products were sampled during or after the respective experiment. Slag, matte and copper metal were the major smelting products. All other materials used in and produced by the experiments were sampled, too. Materials used and produced in the two most promising experimental series with regard to potential Cu isotope fractionation were analyzed. Based on the analytical results, the potential of Cu isotopes as a tool in archaeometallurgical research was systematically evaluated and consequences for the copper isotope application as a provenance tool in archaeometry were identified.The data include the documentation of the experiments, laboratory procedures and analytical methods. An experimental outline was previously published in Rose et al. (2019). Analytical methods applied were ICP-MS (elemental analysis, 80 samples), MC-ICP-MS (copper isotopes, 98 samples), and XRD (phase analysis, 25 samples). The experiments were carried out at the Römisch-Germanisches Zentralmuseum, Labor für Experimentelle Archäologie, Mayen, Germany. Laboratories used for the analytical part of the project were the research laboratories at the Deutsches Bergbau-Museum Bochum and FIERCE (Frankfurt Isotope and Element Research Center), Goethe-University Frankfurt, both Germany. Data were processed and plots created with R (R Core Team 2019) in RStudio®. Data are provided as data tables or text files, the R scripts used to create the time-temperature plots of the smelting experiments are also included.The full description of the data and methods is provided in the data description file.
The adsorption of boron on detrital particles like clay or metal oxides is thought to be a major mechanism driving changes in the boron isotopic composition of seawater on geologic timescales. However, the sensitivity of adsorption parameters to long-term changes in the seawater concentration of major ions (Mg2+, Ca2+, SO42-) and dissolved inorganic carbon (HCO3-, CO32-) is not known. We conducted multiple sets of adsorption experiments that consist of suspending pretreated clay minerals (either kaolinite, smectite or illite) in artificial seawater with a modified chemical composition. Specifically, we investigate adsorption in seawater with a major ion composition resembling that of the Cretaceous (100 Ma) and the Eocene (50 Ma), as well as modern seawater with either reduced or elevated concentrations of dissolved inorganic carbon. We finally combine the results with modeled values for the mineral assemblage of detrital sediment to constrain boron adsorption fluxes in the past. The dataset consists of two sheets that store (1) the results of our adsorption experiments and (2) the modeled sediment properties. Experiments were performed on KGa-1b kaolinite, SWy-3 smectite and IMt-2 illite obtained from the Clay Mineral Society. For each of these clays, a consistent particle size fraction of 2 – 0.2 μm was extracted by repeated centrifugation and decantation. As a result, clay samples used in the experiments have a high mineralogical purity of 95% (in the case of kaolinite and illite) and 50% (in the case of smectite). Pretreated clays were submerged in one of four different boron-containing artificial seawater solutions. These seawater solutions were prepared by mixing trace element-grade salts with ultrapure water according to the recipe of Millero (2013). Specifically, the amounts of added MgCl2, CaCl2, Na2SO4 and NaHCO3 were varied to produce four different seawater stock solutions that have (i) a major ion concentration similar to Eocene seawater; (ii) a major ion concentration similar to Cretaceous seawater; (iii) a DIC concentration half as high as in modern seawater; (iv) a DIC concentration twice as high as in modern seawater. Clay and seawater were allowed to interact for 48h through continuous agitation, after which solution samples were extracted.
This dataset is a continuously growing collection of lead isotope reference data. Lead isotopes are an established method to reconstruct the raw material provenance of archaeological objects. They are typically applied to artefacts made of copper, lead, silver, and their alloys. However, also the raw ma- terial provenance of other materials such as glass, pigments and pottery was already investigated us- ing lead isotopes. To successfully reconstruct the origin of the raw material, lead isotope signatures from as many as possible suitable raw material occurrences must be known. In the past, large-scaled research projects were carried out to characterise ore deposits especially in the Mediterranean area and Western Eu- rope. However, many of these data are dispersed in the literature and were published in scientific articles or monographs. Consequently, each researcher or at least each research group had to build their own up-to-date database of reference data from the literature. To overcome these restrictions, to facilitate work with lead isotope reference data and particularly to make the data FAIR, i.e., finda- ble, accessible, interoperable and reusable (Wilkinson et al. 2016), these published data are compiled and transferred into a uniform layout. They are further enhanced with additional metadata to facili- tate their use in raw material provenance studies. Currently, the database is restricted to ores and minerals as these are the most relevant materials for provenance studies of ancient metals. Future updates will include hitherto uncovered regions but also additional data from countries already present. Slag and other metallurgical (by-) products from ancient sites in close vicinity to ore deposits generally are a genuine representation of the ores uti- lised in historic times. As such, they are highly relevant for provenance studies and an extension to these materials is therefore planned. GlobaLID is a representation of the collective work of researchers on Pb isotope studies. As such, the database is seen as a community engagement project that invites scientists all over the world to be- come active contributors of GlobaLID. The initiators of the database dedicate their effort to the con- tinuation and maintenance of the database but only the support of the whole community will allow a rapid and successful growth of GlobaLID.
This dataset is a continuously growing collection of lead isotope reference data. Lead isotopes are an established method to reconstruct the raw material provenance of archaeological objects. They are typically applied to artefacts made of copper, lead, silver, and their alloys. However, also the raw material provenance of other materials such as glass, pigments and pottery was already reconstructed with lead isotopes. To successfully reconstruct the origin of the raw material, lead isotope signatures from as many as possible suitable raw material occurrences must be known. In the past, large-scaled research projects were carried out to characterise ore deposits especially in the Mediterranean area and Western Europe. However, many of these data are dispersed in the literature and were published in scientific articles or monographies. Consequently, each researcher or at least each research group had to build their own up-to-date data base of reference data from the literature. To overcome these restrictions, to facilitate work with lead isotope reference data and particularly to make the data FAIR, i.e. findable, accessible, interoperable and reusable (Wilkinson et al., 2016), these published data are compiled and transferred into a uniform layout. They are further enhanced with additional metadata to facilitate their use in raw material provenance studies. Currently, the database is restricted to ores and minerals as these are the most relevant materials for provenance studies of ancient metals. Future updates will include hitherto uncovered regions but also additional data from countries already present. Slag and other metallurgical (by-) products from ancient sites in close vicinity to ore deposits generally are a genuine representation of the ores utilised in historic times. As such, they are highly relevant for provenance studies and an extension to these materials is therefore planned. GlobaLID is a representation of the collective work of researchers on Pb isotope studies. As such, the database is seen as a community engagement project that invites scientists all over the world to become active contributors of GlobaLID. The initiators of the database dedicate their effort to the continuation and maintenance of the database but only the support of the whole community will allow a rapid and successful growth of GlobaLID.
The dataset includes Ruthenium and Tungsten isotope data for mafic to ultramafic lava associated with the Hawaii, Réunion, Galápagos and Iceland plume systems. The data is supplemented by Ru isotope data for reference materials (OREAS 684) picrite derived from the upper mantle (Gönnern Quarry, Hessia) lherzolite preidotites (Eifel) and Eoarchean dunites (Isua, Greenland). The data are supplementary to: Messling, Nils; Willbold, Matthias; Kallas, Leander; Elliott, Tim; Fitton, J. Godfrey; Müller, Thomas; Geist, Dennis (submitted) Core leakage revealed by Ru and W isotope systematics in ocean island basalts. Submitted to Nature
The GEOROC database includes helpful compilations of mineral compositions aggregated from measurements reported in decades worth of publications, but it can be challenging to consistently filter mislabeled, inaccurate, or incomplete mineral compositions. MIST (Mineral Identification by Stoichiometry) is a stoichiometry-based computational algorithm that identifies geochemical observations with normalized elemental ratios matching natural minerals. The stoichiometric filters that were manually coded in MIST for over 240 mineral species are based on reported mineral formulas and well-documented examples of mineral chemistry reported in RRUFF and associated databases, typically including a ~5-10% tolerance in stoichiometric ratios based on measurement errors, vacancies, and substitutions. The MIST model can therefore efficiently filter the GEOROC mineral compilation files to recognize compositions whose normalized oxides match the labeled mineral stoichiometry. Furthermore, the MIST output includes results of intermediate data manipulation steps, a detailed stoichiometric formula for each input composition, and consistently calculated mineral endmembers such as Fo, En, Ws, and Fs. MIST is agnostic to the instrument used to collect oxide data. Because MIST uses normalized oxides, it cannot distinguish between some mineral species, where applicable, they are reported as a group (e.g., gypsum/bassanite/anhydrite). MIST can only recognize minerals encoded in the algorithm, so other real but less common minerals will not be recognized. The full list of minerals MIST can recognize, along with more details of the algorithm and results pages, are published in Siebach et al. (https://doi.org/10.1016/j.cageo.2025.106021). This dataset includes fifteen of the Compiled Mineral files published by GEOROC in 12-2024 including the MIST results (whether or not a species was confirmed by MIST). Prior to running the data through MIST, all files were filtered to only include mineral compositions that included major oxides (e.g., silicate mineral compositions where SiO2 > 0 wt%). Furthermore, all variations of reported Fe were collapsed into a single column representing FeOT. Metadata is preserved from the original compiled GEOROC files, so users may add additional filters as appropriate for different purposes. Results have not been filtered for reported sum of total oxides, but doing so can help identify particular mineral species (e.g., separate gypsum from bassanite). An additional file preserves the full reference information for each mineral compilation. We suggest using the compositions that MIST identifies as stoichiometrically consistent with a mineral species as a standardized filter on the GEOROC datasets prior to utilizing the data in machine learning models or similar applications. These may also be helpful any time a user would like standardized formulas or mineral endmember information for these mineral compilations.
Adsorption and isotopic fractionation of boron on clastic sediment is one process responsible for the heavy boron isotopic composition of the modern ocean. However, the mechanism by which boron complexes to the surface of clay minerals and the cause of its isotopic fractionation are still unclear. We performed two sets of experiments, using solutions of pure water with added boron and seawater, to explore the isotope behavior during adsorption of boron onto kaolinite, smectite and illite. The dataset consists of an excel file with four sheets that store (1) the NIST RM 803 measurements we used to establish the long-term reproducibility of our isotope measurements, (2) results of our pure experiment, (3) results of our seawater experiments and (4) a global compilation of XRD-based riverine clay mineral assemblages.
Results of a high throughput, robust and sensitive method for the precise analysis of 87Sr/86Sr by Multi-Collector-Inductively Coupled Plasma-Mass Spectrometer (MC-ICP-MS), Thermo Scientific Neptune PlusTM are reported. The data were obtained after accurate procedures of chemical separation and purification of Sr from geological matrices such as silicates, sulfides, carbonates and waters, using Eichrom Sr-spec resins as well as the routine for Sr isotope measurement. Mass discrimination and instrument drift were corrected by using natural constant 86Sr/88Sr ratios as an internal standard. Data on set of international certified standard materials (SRM NIST 987 and AGV-1) as well as intra-lab reference samples (water sample KGV-9) measured with MC-ICP-MS Neptune Plus, focusing on the accuracy and reproducibility of the analyses performed in the Neptune-TIMS Laboratory are here reported.
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