Bronze Age copper ingots from the Domažlice region compared with the Mutěnín copper ore deposit in western Bohemia (Central Europe)

Bronze Age copper ingots from the Domažlice region compared with the Mutěnín copper ore deposit in western Bohemia (Central Europe) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Bronze Age copper ingots from the Domažlice region compared with the Mutěnín copper ore deposit in western Bohemia (Central Europe) Jiří Kmošek, Markéta Augustýnová, Marek Fikrle, Yulia V. Erban Kochergina This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6507188/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 18 Nov, 2025 Read the published version in Archaeological and Anthropological Sciences → Version 1 posted 9 You are reading this latest preprint version Abstract This paper discusses the possible prehistoric exploitation of the local copper ore deposit Mutěnín-Měděnka in the Domažlice region, of western Bohemia, Central Europe. The research project deals with a possible relationship of the Bronze Age casting cake ingots discovered in this region to this historically documented mine. The study is based on the detailed material analysis of the ingots and geochemical characterization of samples of chalcopyrite and secondary copper minerals from this deposit. The results considerably help to extend the so far very limited knowledge of the origin of the Bronze Age copper material in Bohemia and reveal its position in the complex structure of the material distribution network within Central Europe. Provenance analyses of copper raw material combined the determination of lead isotope ratios by HR-MC-ICP-MS with chemical composition data obtained by INAA, ICP-MS and ED-XRF. The research provides new evidence for the origin of the casting cakes copper material in the late EBA or early MBA in Bohemia. Their origin is from chalcopyrite deposits in the eastern and southeastern Alps. Possible exploitation of sulphidic copper minerals from the Mutěnín-Měděnka local deposit in the LBA period has not been proven. Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 1 Introduction The Domažlice region (western Bohemia, Central Europe) has been discussed for several decades as an area where local copper deposits might have been exploited as early as prehistoric times, specifically in the Bronze Age. The discourse has gradually developed on the basis of numerous and diverse collected archaeological evidence (for a recent summary, see Augustýnová 2022 ). A relatively larger amount of metallurgical evidence comes from this seemingly peripheral region compared to the neighbouring Pilsen region, which is characterised by more favourable conditions for settlement and agricultural subsistence and dense Bronze Age settlement. The presented results of the research project build on current research in the field of archaeometallurgy (Augustýnová 2022 ) as well as on recent findings from the perspective of mining archaeology in this area (Chmelíková 2012 , 2014 , 2017 , 2018 ). Several hoards containing metal ingots – specifically, casting cakes – was found at the Domažlice region (Augustýnová 2022 ). The hoards are considered to be one of the many indications (dense settlement network, cemeteries, hoards and stray finds, evidence of metallurgy from both flatland and hilltop settlements/hillforts) of prehistoric mining and metallurgical activity in the Domažlice region (Augustýnová 2022 ) (Fig. 1 ). Selected ingots from the hoards have recently been subjected to detailed investigations of their morphology and material composition using various archaeological and natural science methods. These material studies provided information on the elemental composition of the ingots, the typology of products represented, and thus on the present stages of the chaîne opératoire of metallurgical activities. Not many lead isotopic analyses of the Bronze Age copper based artefacts are available from the Bohemia region (see Ernée et al. 2024 ; Kmošek et al. 2020 ; Kmošek and Mihaljevič 2020 ; Niederschlag et al. 2003 ; Rassmann and Stos-Gale 2015 ). This study attempts to fill the gaps in the knowledge of the central European copper distribution network. The proximity of the ingots to the Mutěnín mine (with evidence of prehistoric mining) and at the same time the presence of evidence of copper metallurgy in the Domažlice region led to the idea of a possible relationship between these ingots and the Mutěnín-Měděnka mining area (Augustýnová 2022 ). However, to answer this question it was necessary to carry out above all the lead isotope analyses, which are the subject of the present paper. Several copper mines were exploited historically in the Domažlice region (Kratochvíl 1957 ). The potential for the presence of prehistoric mining is highest for the mines near Mutěnín. Previous research in the region and a complex survey of the Mutěnín-Měděnka mining district carried out several years ago revealed many interesting findings that might indicate prehistoric mining (Chmelíková 2012 , 2014 , 2017 , 2018 ). The present paper aims to verify a hypothesis concerning the possible correlation between local ingot assemblages and local deposits in the Domažlice region from the perspective of the prospective origin of the raw material. A wide range of natural science methods (for example lead isotope analysis and complex elemental analysis of ingots and copper minerals) were used to evaluate the samples. There is still not enough information available on the position of Bohemia in the complex system of copper ores and copper raw material circulation within Central Europe in the Bronze Age which is an integral part of economic and social relations in Europe. The acquired results will help to extend the knowledge of the origin of copper material, for which only a few pilot provenance studies are available at present. 1.1 Geology of the Mutěnín-Měděnka mining district The boundary of the Teplá-Barrandian and the Moldanubian units in western Bohemia is accompanied by the occurrence of small plutonic bodies. There are three magmatic complexes from Western Bohemia – Kdyně-Neukirchen, Drahotín and Mutěnín intrusions. Kdyně and Drahotín intrusions consist of gabbro, gabbro-diorite and syenite-granite mineralisation. Gabro-diorite show signs of Fe-Ti enrichment (Fig. 1 ). All three bodies located within a maximum distance of 20 km have different geological history. Dörr et al. ( 2002 ) determined the age of the Kdyně massif to be 524 ± 3 Ma, which is the Cadomian age. Mutěnín and Drahotín show Variscan ages of 342 ± 2 and 332 ± 3 Ma, respectively (Dörr et al. 1998 ). The Mutěnín intrusion is a 7 km 2 area and has a strong concentric internal zonation of alkaline rocks with isolated bodies of Fe -diorite, followed by an intermediate zone of biotite-amphibole diorite, and quartz-biotite-amphibole diorite along the margin. The Drahotín is a small outcrop area of about 5 km 2 and was formed from tholeiitic magma generated at depths of 50 km (Ackerman et al. 2010 ). The Mutěnín-Měděnka mining district is situated c. 15 km north-west of Domažlice. The mining complex itself is located c. 1 km east of the municipality of Mutěnín (Kratochvíl 1957 , 1961 ) and app. 4 km from Drahotín hoard. Prehistoric mining has been considered there since the 1960s (for recent summary, see Augustýnová 2022 ). Recent field walking campaigns, excavations and geochemical analyses in its immediate vicinity have brought further interesting findings in relation to Bronze Age mining hypotheses, especially the discussion of a correlation between the discovered prehistoric pottery fragments and a significantly increased concentration of copper in the sediments, demonstrably caused by human activities such as ore mining or processing (Chmelíková 2012 , 2014 , 2017 , 2018 ). In all probability based on these correlations, chalcopyrite was mined and/or processed in the Bronze Age at Mutěnín, but we cannot rule out a smaller-scale exploitation at neighbouring localities. The deposit itself consists of three historically known ore veins. They are quartz-carbonate veins with chalcopyrite that is irregularly disseminated in grains or clusters of several centimetres, deposited in phylonitised, hydrothermally altered rocks of the Bohemian quartz wall zone. The so-called “Mutěnín diorite boss”, which is immediately geologically associated with quartz-carbonate veins with chalcopyrite, is situated in the close vicinity of the “quartz wall” (Kratochvíl 1957 ; Kratochvíl 1961 ; Tuček 1970 ). In the oxidation zone of this deposit, chalcopyrite is transformed into secondary copper minerals such as chalcocite, bornite, lunnite (pseudomalachite), malachite and, sporadically, azurite (Kratochvíl 1961 ). Very varied geological composition of the Domažlice region, rocks and minerals of different ages, as well as different magmatic and post-magmatic processes have influenced and diversified the isotopic composition of lead in minerals which are subject of our study. 2 Materials and methods 2.1 Analysed metal ingots and its dating In order to determine the origin of the raw materials, ingots from Drahotín (Early Bronze Age/EBA II: Br A2/B1-B1), Kout na Šumavě (Late Bronze Age/LBA: Br D-Ha A1) and Havlovice (Late Bronze Age/LBA: Br D) (Fig. 2 ) were selected. Their dating range allowed an assessment of their relationship to Mutěnín-Měděnka both at the turn of the Early and Middle Bronze Age and in the Late Bronze Age. The assemblages from all currently analysed hoards included both ingots and finished products (tools, jewellery, weapons) that allowed chronological classification of the ingots: Drahotín − 14 fragments of casting cakes, whole and fragmentary final products; Havlovice − 5 fragments of casting cakes and fragments of final products; Kout na Šumavě − 1 casting cake fragment, fragments of final products (Chvojka et al. 2017 ). 2.2 Sampling In order to more accurately determine the possible relationship of the metal ingots to the Mutěnín-Měděnka area, collection of ore samples, including primary and secondary copper minerals were taken directly from the gangue dumpsite of the Mutěnín-Měděnka mining complex (GPS coordinates: 49.5496225N, 12.7668547E) in the immediate vicinity of mined quartz-carbonate veins containing chalcopyrite. The obtained samples represent mining waste from the recent mining activity at the site. Copper minerals were sampled in the form of small grains or large clusters associated directly with the host rock – quartz with a proportion of dolomite and calcite. Samples of individual minerals were preliminarily analysed using the pXRF method for the purpose of their basic chemical composition. Three representative samples of chalcopyrite (MUT_02, 03, 05) and three samples of secondary copper minerals (MUT_01, 04, 12) were selected for subsequent geochemical analyses. The selection of samples was aimed at the geochemical characterization of the present primary sulphide copper minerals as well as their oxidized forms from the upper oxidation zones of the deposit. The copper minerals were mechanically separated from the host rock to the maximum extent and only copper based minerals like chalcopyrite and malachite and brochantite with remaining amount of quartz were subjected to analyses. In the case of secondary copper minerals, it was not possible to effectively mechanically separate Cu minerals from the host rock and therefore the proportion of quartz and associated minerals is higher in these samples. The geological sample set was completed by a selection of copper ingots from Drahotín (14 samples), Kout na Šumavě (1 sample) and Havlovice (2 samples). The summarization of analysed copper ores and ingots with specification of extend of performed analysed is given in Tab. S1. The analyses were performed on assemblage of ingots currently available for authorised analytical examination. Within the framework of this study it was only possible to examine the ingot selection from the Domažlice region, and not all representatives of a hoard could always be comprehensively analysed (in the case of the Havlovice hoard). This sample selection also implies the possibility of a different origin of some ingots that were not available for analysis – cf. the varied composition of the origin of ingots in individual hoard from other regions of the Czech Republic – e.g. Kmošek et al. 2020 ; Zachar and Salaš 2019 . 2.3 Methodology of geochemical analysis The corpus of copper minerals and copper ingots was analysed by a combination of various analytical methods. The mineralogical composition of copper minerals was analysed by X-ray powder diffraction analysis (XRD). Major, minor and trace elements composition of mineralogical samples and selection of copper ingots were determined using method of instrumental neutron activation analysis (INAA) supplemented by magnetic sector field ICP-MS (lead and bismuth concentrations). Energy dispersive X-ray fluorescence spectrometry (ED-XRF) was used for non-destructive chemical composition analysis of the selected ingots. Portable X-ray fluorescence spectrometry (pXRF) were used for semi quantitative elemental analysis of copper minerals. High resolution multi-collector-inductively coupled plasma mass spectrometry (HR-MC-ICP-MS) was used for the purpose of lead isotope ratio analyses. Technical details of the individual analytical methods used are described in the supplementary materials. 2.3.1 Copper minerals Phase composition analysis using XRD was performed on a selection of 4 representative mineral samples. The results of XRD analysis are listed in the Table S2. The chemical compositions of 6 copper minerals were determined using a combination of INAA, magnetic sector field ICP-MS and pXRF methods. The results of the combined chemical composition analysis given in weight % and µg.g − 1 are listed in Table 1 . Within the sample preparation, each of the analysed mineral samples was crushed using a mechanical press and divided into two fractions (0.16–0.5 mm and < 0.16 mm). Each of these fractions was analysed separately by the INAA and pXRF methods. Stable lead isotope ratios of 6 samples of copper minerals were analysed by HR-MC-ICP-MS (for methodological details see Erban Kochergina et al. 2022 ). The lead isotope ratios data are provided in Table 2 and presented graphically in Fig. 3 using the preferred representation based on the 206 Pb/ 204 Pb, 207 Pb/ 204 Pb and 208 Pb/ 204 Pb ratios. Table 1 Combined results of compositional analysis of the selected copper minerals from Mutěnín. Analytical data are obtained by a combination of INAA, ICP-MS and pXRF methods. Results are given in weight % and µg.g − 1 . Sample INAA No Fe Cu Ni Zn Sn Pb As Sb Bi Cr Co Ag Au Se U SiO2 Al2O3 MnO MgO CaO K2O TiO2 P2O5 S INAA INAA INAA INAA INAA ICP-MS INAA INAA ICP-MS INAA INAA INAA INAA INAA INAA pXRF pXRF pXRF pXRF pXRF pXRF pXRF pXRF pXRF wt. % wt. % µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 wt. % wt. % wt. % wt. % wt. % wt. % wt. % wt. % wt. % MUT_01_1 (0.16–0.5 mm) 6126 0.20 6.80 < d. l. < d. l. 19 < d. l. 2 < 1 < d. l. 2 5 1 < d. l. < d. l. 4 64.8 0.4 0.9 < d. l. 0.1 0.1 0.0 < d. l. < d. l. MUT_01_2 (< 0.16 mm) 6127 0.40 15.53 33 11 38 5 < 1 5 13 2 < d. l. < d. l. 10 62.6 1.3 1.9 < d. l. 0.1 0.1 0.0 0.1 < d. l. MUT_02_1 (0.16–0.5 mm) 6128 28.50 31.04 < d. l. < d. l. < d. l. 3 9 < 1 1 10 12 27 < d. l. 38 < d. l. 7.9 1.9 < d. l. < d. l. < d. l. 0.6 0.1 < d. l. 28.3 MUT_02_2 (< 0.16 mm) 6129 28.30 30.46 < d. l. < d. l. < d. l. 14 < 1 14 15 27 < d. l. 38 2 4.7 2.9 < d. l. < d. l. < d. l. 0.6 0.1 < d. l. 36.1 MUT_03_1 (0.16–0.5 mm) 6130 29.50 33.88 < d. l. < d. l. < d. l. 2 6 1 3 6 3 13 < d. l. 52 < d. l. 2.1 0.8 < d. l. < d. l. < d. l. 0.1 < d. l. < d. l. 37.8 MUT_03_2 (< 0.16 mm) 6131 30.00 34.27 < d. l. < d. l. < d. l. 9 2 9 3 19 < d. l. 53 1 0.5 0.8 < d. l. < d. l. < d. l. 0.1 < d. l. < d. l. 44.8 MUT_04_1 (0.16–0.5 mm) 6132 4.00 2.22 < d. l. < d. l. < d. l. 5 21 7 4 28 3 19 < d. l. 5 3 60.1 7.8 < d. l. < d. l. 0.1 2.0 0.2 < d. l. 0.4 MUT_04_2 (< 0.16 mm) 6133 4.48 3.40 < d. l. 12 < d. l. 23 8 35 3 21 < d. l. 5 3 68.3 10.5 < d. l. < d. l. 0.1 2.5 0.3 < d. l. 0.8 MUT_05_1 (0.16–0.5 mm) 6134 18.90 19.02 < d. l. < d. l. < d. l. 6 31 7 6 10 8 13 < d. l. 30 3 22.2 2.2 < d. l. < d. l. < d. l. 0.5 0.1 < d. l. 15.0 MUT_05_2 (< 0.16 mm) 6135 22.70 23.59 < d. l. 18 < d. l. 40 9 14 9 16 < d. l. 36 7 22.6 3.0 < d. l. < d. l. < d. l. 0.6 0.0 < d. l. 20.8 MUT_12_1 (0.16–0.5 mm) 6136 7.20 48.54 < d. l. 11 < d. l. 1 136 2 8 < d. l. 64 27 < d. l. 29 1 9.1 0.4 < d. l. < d. l. < d. l. 0.2 0.0 < d. l. 12.3 MUT_12_2 (< 0.16 mm) 6137 6.00 47.79 32 10 < d. l. 134 2 6 50 24 < d. l. 26 2 14.6 1.7 < d. l. < d. l. < d. l. 0.4 0.1 < d. l. 14.0 Detection limits 0.01 0.03 25 5 17 0.5 1 1 0.1 2 0.1 1 0.1 2 1 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Table 2 Lead isotopic ratios of the selected copper ores from Mutěnín and copper ingots from Drahotín and Havlovice as determined by HR-MC-ICP-MS method. 1SD = 1 standard deviation above mean. Object no. Lab No. 206Pb/204Pb 1SD 207Pb/204Pb 1SD 208Pb/204Pb 1SD 208Pb/206Pb 1SD 207Pb/206Pb 1SD Expected provenance Drahotin_P89.482 5674 19.2032 0.016 15.7112 0.014 39.723 0.036 2.0691 0.00028 0.81792 0.00013 Mitterberg (Southern or Eastern district) Drahotin_P89.483 5675 17.9163 0.004 15.6469 0.004 38.142 0.009 2.1293 0.00012 0.87312 0.00006 Southeastern Alps (Valsugana?) Drahotin_P89.483 5675_repl 17.9171 0.004 15.6477 0.004 38.144 0.011 2.1293 0.00015 0.87314 0.00006 Drahotin_P89.485 5676 18.3715 0.018 15.6652 0.015 38.419 0.038 2.0917 0.00029 0.85246 0.00015 Southeastern Alps Drahotin_P89.487 5677 17.9581 0.006 15.6073 0.005 37.863 0.012 2.1088 0.00019 0.86891 0.00008 ? Drahotin_P89.489 5679 20.1033 0.033 15.7615 0.018 40.015 0.057 1.9909 0.00099 0.78380 0.00071 Mitterberg (Southern district or Main lode) Drahotin_P89.494 5678 19.2854 0.016 15.7271 0.013 39.570 0.034 2.0523 0.00040 0.81531 0.00016 Mitterberg (Southern or Eastern district) Drahotin_P89.495 5680 19.0571 0.010 15.7044 0.007 39.511 0.021 2.0736 0.00026 0.82381 0.00017 Mitterberg (Southern or Eastern district) Havlovice_12 5681 18.8070 0.168 15.6251 0.139 38.321 0.374 2.0375 0.00134 0.83057 0.00069 Ore Mountains/Bohemia MUT_01 5686 21.0045 0.405 15.7024 0.288 38.796 0.756 1.8470 0.00535 0.74716 0.00303 MUT_02 5683 19.0613 0.060 15.6339 0.052 38.868 0.141 2.0395 0.00077 0.81993 0.00041 MUT_03 5687 18.8781 0.030 15.6264 0.022 38.789 0.065 2.0549 0.00074 0.82751 0.00038 MUT_04 5682 20.0852 0.040 15.6864 0.031 39.236 0.084 1.9538 0.00065 0.78071 0.00040 MUT_05 5689 19.0222 0.064 15.6348 0.050 38.853 0.135 2.0426 0.00171 0.82148 0.00097 MUT_12 5684 19.6659 0.054 15.6341 0.045 39.070 0.128 1.9872 0.00056 0.79477 0.00027 2.3.2 Copper ingots The chemical composition of 17 copper ingots was obtained by combining INAA and ED-XRF and magnetic sector field ICP-MS methods. The results of the combined chemical composition analysis expressed in weight % and µg.g − 1 are given in Table 3 . Lead isotopic analyses of 8 samples of copper ingots were performed using HR-MC-ICP-MS and the lead isotope ratios data are given in Table 2 . For the lead isotopic analyses were selected ingots for which a sufficient quantity of metal sample was available and covered the chemical composition variability of the corpus. Table 3 Combined results of compositional analysis of the selected copper ingots. Analytical data are obtained by a combination of INAA, ICP-MS and ED-XRF methods. Results are given in weight % and µg.g − 1 . INAA No Fe Cu Ni Zn Sn Pb As Sb Bi Cr Co Ag Au Se U Sample INAA INAA INAA INAA INAA ICP-MS INAA INAA ICP-MS INAA INAA INAA INAA INAA INAA wt. % wt. % µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 µg.g-1 Kout na Sumave_P89.886 6111 0.63 101.7 256 2242 < d. l. n.a. 1626 1244 n.a. < d. l. 566 857 < d. l. 28 < d. l. Havlovice_11 ED-XRF 0.18 98.7 < 500 < d. l. < 500 < d. l. < 500 < 500 < d. l. n.a. n.a. < 500 < d. l. n.a. n.a. Havlovice_12 6105 0.60 102.1 250 < d. l. < d. l. 2 43 5 < d. l. < d. l. 86 40 < d. l. 29 < d. l. Drahotin_P89.482 6091 < d. l. 95.6 826 < d. l. < d. l. 11 892 40 3 < d. l. 16 128 1 < d. l. < d. l. Drahotin_P89.483 6092 < d. l. 94.2 11766 116 388 4208 7563 1705 134 < d. l. 442 846 < d. l. < d. l. < d. l. Drahotin_P89.484 6093 < d. l. 95.2 6908 < d. l. < d. l. n.a. 5722 1015 n.a. < d. l. 119 1712 < d. l. < d. l. < d. l. Drahotin_P89.485 6094 < d. l. 93.3 5566 < d. l. < d. l. 118 12562 1898 206 < d. l. 13 1825 < d. l. < d. l. < d. l. Drahotin_P89.486 6095 < d. l. 90.7 13821 < d. l. < d. l. n.a. 8707 2193 n.a. < d. l. 359 1226 < d. l. < d. l. < d. l. Drahotin_P89.487 6096 < d. l. 95.4 726 < d. l. < d. l. 42 527 38 2 < d. l. 44 51 < d. l. 27 < d. l. Drahotin_P89.488 6097 < d. l. 96.6 796 < d. l. < d. l. n.a. 699 32 n.a. < d. l. 21 107 1 < d. l. < d. l. Drahotin_P89.489 6098 0.44 90.4 18170 < d. l. < d. l. 14 15898 209 6 < d. l. 320 61 < d. l. < d. l. < d. l. Drahotin_P89.490 6099 0.24 89.9 6550 < d. l. < d. l. n.a. 22589 1387 n.a. < d. l. 424 436 < d. l. 29 < d. l. Drahotin_P89.491 6100 < d. l. 84.3 15828 < d. l. < d. l. n.a. 28102 3985 n.a. < d. l. 756 815 < d. l. < d. l. < d. l. Drahotin_P89.492 6101 < d. l. 92.3 1597 < d. l. < d. l. n.a. 794 11 n.a. < d. l. 90 71 < d. l. 32 < d. l. Drahotin_P89.493 6102 < d. l. 94.4 2929 < d. l. < d. l. n.a. 1781 139 n.a. < d. l. 85 48 1 < d. l. < d. l. Drahotin_P89.494 6103 < d. l. 95.5 875 < d. l. < d. l. 21 1194 37 1 < d. l. 44 63 1 15 < d. l. Drahotin_P89.495 6104 < d. l. 94.9 2473 117 < d. l. 49 887 139 3 < d. l. 343 55 1 < d. l. < d. l. Detection limits 0.2 0.5 250 100 250 0.5 10 5 0.1 100 10 40 1 15 10 3 Results 3.1.1 Copper minerals From the mineralogical composition perspective, our studied samples from Mutěnín-Měděnka consists mainly of chalcopyrite (CuFeS 2 ) and quartz (SiO 2 ), represented in the analysed assemblage by samples MUT_02, MUT_03 and MUT_05. Sample of secondary copper mineral from the deposit’s surface layers (MUT_04) consist mainly of malachite (Cu 2 (OH) 2 CO 3 ) and brochantite (Cu 4 (SO 4 )(OH) 6 ) with portion of quartz and admixture of calcite (CaCO 3 ). Another sample of secondary copper mineral contains malachite and high portion of quartz (MUT_01).The malachite and brochantite present are most likely a secondary formed minerals from the primary sulphide mineral chalcopyrite that forms the main ore veins of this copper deposit. XRD analysis was not performed for sample MUT_12, but the elemental composition shows, in addition to copper, higher concentrations of iron and sulphur, which correspond to the occurrence of both primary and secondary copper minerals. High percentages of quartz in all mineral samples and calcite in sample MUT_04 are associated with remaining host rock (see Tab. S2). Copper concentration in chalcopyrite samples ranges from 21.3 to 34.1 wt. % and are accompanied by high sulphur (15.0–44.8 wt. %) and iron (18.9–30.0 wt. %) contents The chalcopyrite sample MUT_05 contains a significant proportion of host rock in the form of quartz and therefore the content of copper, sulphur and iron in this sample is lower. Secondary copper minerals contain variable copper concentrations ranging from 2.8 to 48.2 wt.% and considerably less iron (0.3–6.6 wt. %) than chalcopyrite minerals.. All analysed minerals contain also variable portion of host rock minerals expressed by SiO 2 , Al 2 O 3 , K 2 O and TiO 2 contents. No significant differences in the elemental composition of mineral samples with different coarseness were observed. Primary (MUT_02, MUT_03, MUT_05) and secondary (MUT_04, MUT_12) copper minerals show very similar concentrations of admixture and trace elements. In such samples was detected lead (1–6 µg.g − 1 ), arsenic (6–136 µg.g − 1 ), antimony (< 1–9 µg.g − 1 ), bismuth (1–8 µg.g − 1 ), cobalt (3–64 µg.g − 1 ), silver (13–27 µg.g − 1 ), selenium (5–53 µg.g − 1 ) and uranium (< 1–7 µg.g − 1 ). Composition of malachite sample MUT_01 slightly differs from others by it higher tin (19–38 µg.g − 1 ) and uranium (4–10 µg.g − 1 ) contents and lower arsenic, antimony, lead, bismuth, silver and selenium contents which are mostly at or below the limit of detection. Nickel was detected only in the finest fractions of the samples MUT_01 and MUT _12 in amounts 32 and 33 µg.g − 1 . Zinc content was detected in finest fractions of samples MUT_01, MUT_04, MUT_05 and both fractions of sample MUT_12 in concentrations 10–18 µg.g − 1 . Gold content in all samples is below the detection limit. The results of elemental analyses clearly show that the smelting of both primary and secondary minerals from the Mutěnín deposit yielded copper containing, except for iron, very low concentrations of admixtures and trace elements, usually below 100 µg.g − 1 in the case of individual elements. The lead isotope ratios of copper-bearing sulphides form a homogeneous cluster in binary plots (Fig. 3 ) with the following ratios: 206 Pb/ 204 Pb 18.878–19.061, 207 Pb/ 204 Pb 15.626–15.634 and 208 Pb/ 204 Pb 38.789–38.868. In contrast to that, secondary copper-bearing minerals show more variable lead isotopic ratios compared to chalcopyrite minerals. The sample MUT_01 has higher 206–207 Pb/ 204 Pb ratios but similar 208 Pb/ 204 Pb ratio and sample MUT_12 has higher 206–208 Pb/ 204 Pb ratios but similar 207 Pb/ 204 Pb ratio. The sample MUT_04 has higher values for the three considered isotopic ratios 206–207−208 Pb/ 204 Pb. The most outlier values ​​of radiogenic lead isotopic ratios 206–207 Pb/ 204 Pb are shown by sample MUT_01, which also differs from other minerals in its elemental composition, especially by its low lead and relatively high uranium contents. Comparing the 206–207−208 Pb/ 204 Pb isotope ratios of chalcopyrite from Mutěnín with the selected Alpine and other Central European deposits, there is a considerable overlap only with selected copper-bearing sulphides from Horní Slavkov (western Bohemia) and Sadisdorf (Eastern Ore Mountains) (Niederschlag et al. 2003 ). Other commonly considered copper mineral deposits from central Slovakia (Schreiner 2007 ) and the Eastern and south-eastern Alps (Höppner et al. 2005 ; Pernicka et al; 2016 , Addis 2013 ; Artioli et al. 2016 ) differs from chalcopyrite from Mutěnín mainly in higher 207 Pb/ 204 Pb isotopic ratios. The lead isotope ratios of secondary copper minerals with high portion of host rock from Mutěnín do not overlap with any of the analysed copper minerals from the above-mentioned ore sources (Fig. 3 ). The lead isotope analyses of these secondary copper minerals are a very important source of information due to the considered surface mining at the site. 3.1.2 Copper ingots Tin was not detected in the copper ingots, except sample P89.483 which contain 388 µg.g − 1 of tin. At the same time, all ingots are characterized by relatively low iron concentration (< 0.63 wt.%). All copper ingots can be therefore categorized as an unalloyed, highly refined copper material, based on the results of chemical composition analysis. The analysed ingots from Drahotín contain variable concentrations of nickel, arsenic, antimony, silver, cobalt, lead and bismuth. The concentrations of all other measured elements like zinc, lead, bismuth, gold, selenium and uranium are just below the INAA and ED-XRF detection limits, or they have not been detected at all. Based on the comparison of nickel concentrations and the concentrations of the so-called tetrahedrite group elements (arsenic, antimony, silver and bismuth), it is possible to distinguish the ingots from Drahotín into two clusters (Fig. 4 ). The cluster characterized by higher concentrations of nickel and elements of the so-called tetrahedrite group is formed by ingots P89.483, P89.484, P89.485, P89.486, P89.489, P89.490, P89.491, that contain 5566–18170 µg.g − 1 of Ni, 5722–28 102 µg.g − 1 of As, 209–3985 µg.g − 1 of Sb, 61–1825 µg.g − 1 of Ag, 13–756 µg.g − 1 of Co, 14–4208 µg.g − 1 of Pb and 6–206 µg.g − 1 of Bi. The cluster with lower concentrations of nickel and elements of the so-called tetrahedrite group includes ingots P89.482, P89.487, P89.488, P89.492, P89.493, P89.494, P89.495, that contain 726–2929 µg.g − 1 of Ni, 527–1781 µg.g − 1 of As, 11–139 µg.g − 1 of Sb, 48–128 µg.g − 1 of Ag, 16–343 µg.g − 1 of Co, 11–49 µg.g − 1 of Pb and 1–3 µg.g − 1 of Bi. Copper ingot sample P89.886 from Kout na Šumavě has a significantly lower nickel content (256 µg.g − 1 ), but the concentrations of arsenic, antimony, silver and cobalt are between the intervals of the two clusters of ingots from Drahotín mentioned above. Ingot sample No. 12 from Havlovice differs from other ingots by low contents of all analysed elements – below 50 µg.g − 1 , except for iron (6000 µg.g − 1 ), nickel (248 µg.g − 1 ) and cobalt (86 µg.g − 1 ) (Fig. 4 ). The analysed copper ingots show very heterogeneous lead isotope ratios, but in most cases, they can be assigned to particular copper ore deposits with proven or suspected EBA/MBA and LBA mining activities. Four copper ingots from Drahotín (P89.482, P89.489, P89.494 and P89.495) with isotope ratios of 206 Pb/ 204 Pb > 19.057, 207 Pb/ 204 Pb > 15.704 and 208 Pb/ 204 Pb > 39.511 overlap with analysed copper-bearing sulphides from the Mitterberg mining district in the Eastern Alps (Pernicka et al. 2016 ). Ingots P89.482, P89.494 and P89.495 show the most intense overlap with minerals from the Mitterberg Southern or Eastern Districts and ingot P89.489 with the southern District or the Main Lode. Two other ingots from Drahotín with lower 206–207−208 Pb/ 204 Pb values correlate very well with copper minerals and prehistoric smelting slags from the Southeastern Alps (Addis 2013 , Artioli et al. 2016 ). Ingot P89.483 from this group overlaps very well with chalcopyrite from the Valsugana VMS group and sample P89.485 with polymetallic sulphide-rich veins of the Southalpine AATV group and fahlores from the Carnia area (Artioli et al. 2016 ). The lead isotope ratios of ingot P89.487 from Drahotín do not overlap with any of the isotope ratios of minerals from the copper deposits under consideration, and the provenance of the copper material cannot be unambiguously determined at present. The lead isotope ratios of ingot No. 12 from Havlovice roughly overlap with the isotopic field of the Ore Mountains and Bohemia, especially with the chalcopyrites from Sadisdorf and Horní Slavkov (Niederschlag et al. 2003 ). Chalcopyrites from Mutěnín also fall into the same isotopic field, but they differ from the ingot No. 12 from Havlovice by its significantly higher 208 Pb/ 204 Pb isotope ratio. 4 Discussion At the turn of the Early and Middle Bronze Age, the period to which the ingot assemblage from Drahotín is dated, copper ores of fahlore type with low or high nickel content occurred above all in central Europe, while chalcopyrite-type of copper with low contents of accompanied elements were used increasingly often (Frána et al. 1995 ; Junghans et al. 1960 , 1968 , 1974 ). The origin of fahlore type copper is most often associated with tetrahedrite and tennantite deposits in the Inn valley in the Eastern Alps or to fahlore type ores from the Slovakian Ore Mountains (Höppner et al. 2005 ; Lutz and Pernicka 2013 ; Niederschlag et al. 2003 ; Pernicka et al. 2016 ; Schreiner 2007 ). As possible sources of chalcopyrite type copper, deposits such as Mitterberg in the Eastern Alps, the Trentino region in the South-eastern Alps or the aforementioned Slovakian Ore Mountains are most frequently discussed (Artioli et al. 2016 ; Pernicka et al. 2016 ; Schreiner 2007 ). The Mutěnín-Měděnka mining district is an example of locality with very complicated geological history. The presence of Cadomian and Variscan intrusions, with different geological origin (Ackerman et al. 2010 ) creates ideal conditions for the formation of sulphide minerals with a different lead isotopic composition. Certainly, this locality deserves to be carefully geochemically investigated, in order to describe the relations between the sulfides and the host rock. The hypothesis of a possible relationship between material in the form of analysed casting cakes from Bronze Age hoards in the Domažlice region (western Bohemia, Central Europe) and the local mining district of Mutěnín-Měděnka was not unambiguously confirmed within this case study. The composition of all the Drahotín ingots analysed corresponds to a type of chalcopyrite copper with higher contents of nickel, arsenic, antimony and silver admixtures which are also characteristic of the chalcopyrite deposits at Mitterberg (Fig. 4 ). Three ingots (P89.482, P89.494 and P89.495) from Drahotín show an isotopic concordance with Mitterberg – Southern or Eastern District and one (P89.489) with Mitterberg – Southern District or Main Lode. The Mitterberg Main Lode and Eastern District copper deposits consist mainly of nickel-rich pyrite (FeS 2 ), chalcopyrite (CuFeS 2 ) and other cobalt-rich copper ores. In the Southern District, mineralization is strictly stratified with fine veins of pyrite, chalcopyrite and erythrite (Co 3 (AsO 4 ) 2 ·8H 2 O). Accessory minerals include gersdorffite (NiAsS), millerite (NiS), arsenopyrite (FeAsS) and the fahlore type of tetrahedrite and tenantite (Bernhard 1965 , Pernicka et al. 2016 ). The combined results of lead isotope ratios and elemental compositions document the distribution of semi-finished copper products in Bohemia already from the beginning of the exploitation of these deposits at Mitterberg. Thedating interval for the Drahotín hoard is the Early Bronze Age (EBA II) – Br A2/B1–B1, i.e., the 18–16th century BC; the narrower one is c. 17th century BC, valid for Bohemia (for a more detailed discussion on the chronological categorization, see Brunner et al. 2020 ; Chvojka et al. 2021 ; Fröhlich et al. 2016 ; Hlásek and Chvojka 2019 ; Smejtek 2015 ; Stockhammer et al. 2015 ). The beginning of the exploitation of the most extensive mining area in the Main Lode is estimated to be around 1700 BC (Breitenlechner et al. 2014 ; Kienlin and Stöllner 2009 ; Pernicka et al. 2016 ); earlier dates, around the 19th – 18th centuries BC, are estimated for mining in the Southern District; for the Eastern District, mining of the deposit is considered towards the end of the Early Bronze Age, while the local metallurgical complexes are dated to the Middle Bronze Age (Pernicka et al. 2016 ). The probable origin of two further ingots (P89.483, P89.485) from Drahotín, based on the lead isotope ratios analysis, is in the sulphide copper bearing deposits of the southeastern Alps (Artioli et al. 2016 ). Within this area no mining districts dated to the Bronze Age have yet been found, but where metallurgical complexes dated to the Early Bronze Age are known (Cierny 2008 ; Pearce et al. 2022 ; Silvestri et al. 2019 ; Artioli et al. 2016 ). The Valsugana region, where metamorphosed volcanogenic massive sulphide (VMS) deposits containing chalcopyrite in a pyrite-dominated mineralization, with accessory sphalerite, galena and arsenopyrite occur, is considered from the perspective of potential provenance. Polymetallic sulphide-rich veins in Alto Adige, Trentino and Veneto (Southern Alps AATV Group) consisting of chalcopyrite-sphalerite-galena-pyrite mineralizations can also be considered. On the other hand, the region of Carnia, with its predominance of fahlore type minerals, can be excluded from the final consideration, since the ingots analysed do not show the characteristic composition of copper from fahlore type ores. The provenance of ingot P89.487 from Drahotín cannot be unambiguously determined. While the elemental composition results are consistent with other ingots from Drahotín with a presumed provenance in Mitterberg – Southern or Eastern District (Fig. 4 ), the lead isotope ratios do not overlap with any of the previously characterised potential copper ore deposits (Fig. 3 ). Seven other ingots from Drahotín (P89.484, P89.486, P89.488, P89.490, P89.491, P89.492, P89.493), for which the lead isotope ratios were not analysed, show considerable concordance with ingots containing lower concentrations of nickel, arsenic, antimony and silver and the presumed provenance in Mitterberg – Southern or Eastern District ( P89.488, P89.492, P89.493) and ingots characterized by higher contents of these elements with a presumed provenance in Mitterberg – Southern District/Main Lode or the south-eastern Alps (P89.484, P89.486, P89.490, P89.491). The lower nickel content (256 µg.g − 1 ) in ingot P89.886 from Kout na Šumavě (dated to LBA: Br D-Ha A1), for which the lead isotope ratios could not be determined, places the ingot at the edge of the Mitterberg copper ore cluster, where ores from central Slovakia also occur. Higher selenium contents (28 µg.g − 1 ) in the sample indicate a probable origin from sulphide deposits. However, the higher concentrations of arsenic, antimony and silver suggest that it is unlikely to have originated from the Mutěnín deposit. The lead isotope ratios of ingot No. 12 from Havlovice, dated the Late Bronze Age (LBA: Br D), roughly correlate also with chalcopyrite samples from Sadisdorf, Eastern Ore Mountains and Horní Slavkov, western Bohemia (Niederschlag et al. 2003 ). However, chalcopyrite from the Ore Mountains, as well as Horní Slavkov, contain considerable proportions of fahlore, arsenopyrite, sphalerite, cassiterite and galena, shifting the overall composition of these minerals towards significantly higher contents of arsenic, antimony and silver (Fig. 4 ) and possibly also lead and tin (Niederschlag et al. 2003 ). Except for slightly higher concentrations of nickel (248 µg.g − 1 ), the elemental composition of ingot No. 12 from Havlovice correlates very well with the composition of both primary and secondary copper ores from the Mutěnín deposit (Fig. 4 ). However, the lead isotope ratios of that ingot are not compatible with that of the three chalcopyrite samples used to characterize the signature of the Mutěnín deposit. Higher concentrations of selenium in the metal matrix of the ingot (29 µg.g − 1 ) rather correspond to a sulphidic origin of the smelted copper ores. Selenium together with tellurium in various types of compounds are contained in higher concentrations above all in primary sulphidic ores such as chalcopyrite (Uden 2005 ); they can also be detected as part of sulphidic inclusions in copper ingots (Kmošek et al. 2020 ; Rehren and Northover, 1990 ). Chalcopyrites from Mutěnín contain 33–52 µg.g − 1 of selenium meanwhile secondary copper ores from the same mine contain < 29 µg.g − 1 . The sample of ingot No. 11 from Havlovice was analysed only by ED-XRF, which does not allow such a detailed interpretation as in the case of ingot No. 12 from the same hoard. Copper ingots from the Domažlice region were compared with the elemental composition of other analysed ingots from the South Bavarian Alpine piedmont, Salzburg and Tyrol regions (Möslein and Pernicka 2019 ), Lower Austria (Mödlinger et al. 2021 ; Mödlinger and Trebsche 2020 ; Pernicka and Mehofer 2013 ), Bohemia (Kmošek et al. 2020 ; Ernée et al. 2024 ; Augustýnová et al. 2021 ; Frána et al. 2009 ) and Moravia (Salaš et al. 2020 ; Salaš et al. 2024 ; Zachar and Salaš 2019 ). From the comparison, it is clear that the major raw materials processed for the production of copper ingots are chalcopyrite ores and fahlore-type ores with variable nickel concentrations (Fig. 5 ). Ingots from the South Bavarian Alpine piedmont, Salzburg and Tyrol regions make intensive use of Mitterberg-type chalcopyrite copper and low-nickel fahlore-type ores characteristic of the Inn valley deposits. Copper ingots from the Domažlice region were compared with the elemental composition of other analyzed ingots from the South Bavarian Alpine piedmont, Salzburg and Tyrol regions (Möslein, S. – Pernicka, E. 2019), Lower Austria (Mödlinger et al. 2021 , Mödlinger and Trebsche 2020 , Pernicka and Mehofer 2013 ), Bohemia (Kmošek et al. 2020 , Ernée et al. 2024 , Augustýnová e al. 2021, Frána et al. 2009 ) and Moravia (Salaš et al. 2020 , Salaš et al. 2024 , Zachar and Salaš 2019 ). From the comparison, it is clear that the major raw materials processed for the production of copper ingots are chalcopyrite ores and fahlore-type ores with variable nickel concentrations (Fig. 5 ). Ingots from the South Bavarian Alpine piedmont, Salzburg and Tyrol regions were produced from chalcopyrite copper of the Mitterberg type and fahlore ores with low nickel content characteristic of deposits in Schwaz and Brixlegg In the case of ingots from the Lower Austria region, Fahlore copper with variable nickel concentrations prevails and to a lesser extent chalcopyrite copper characterized by higher antimony contents is also represented. In copper ingots from Moravian deposits, chalcopyrite copper characterized by low nickel concentrations prevails and in the case of two ingots from the Borotín site dated to HA A1, the use of fahlore ores low in nickel content was confirmed (Zachar and Salaš 2019 ). For copper ingots from different regions of Bohemia, chalcopyrite copper with very variable concentrations of antimony, nickel and silver is characteristic. The use of the fahlore type copper low in nickel concentrations was only proven in the case of six EBA ingots from Tursko hoard (Ernée et al. 2024 ). In case of Bohemia, provenance analyses of casting cakes based on lead isotopic and detailed chemical composition analysis are available only for an Early Bronze Age hoard of the Únětice culture from Tursko, Prague-West district (Ernée et al. 2024 ) and for a Late Bronze Age hoard from Staré Hodějovice, České Budějovice district (Kmošek et al. 2020 ). Lead isotope ratios indicate the origin of EBA ingots from Tursko made of fahlore type copper low in nickel concentrations from the Eastern Alps, the Schwaz and Brixlegg mining region on the lower reaches of the River Inn (Ernée et al. 2024 ). The LBA ingots from Staré Hodějovice made of chalcopyrite copper were assigned to the Alpine deposits of Mitterberg and the Trentino regions (Kmošek et al. 2020 ). When comparing lead isotope ratios of final products made of copper alloys found in Bohemia and dated to different phases of the Bronze Age (Ernée et al. 2024 ; Kmošek et al. 2020 ; Kmošek and Mihaljevič 2020 ; Niederschlag et al. 2003 ; Rassmann and Stos-Gale 2015 ), no concordance was found with the geochemical characteristics of the newly described copper deposit in Mutěnín. The majority of the analysed artefacts dated to the EBA are made of fahlore type copper (Fig. 5 ). For the turn of the EBA and MBA, the period to which the Drahotín ingots date, and for the MBA, there are no lead isotope analyses of finished products from the territory of Bohemia. More precise considerations of the provenance and circulation of copper raw materials in Bohemia will therefore only be revealed by future research. Even so, it can be stated at present that several different sources of copper were used in this territory even within one phase of the Bronze Age (similar as for LBA cf. Kmošek et al. 2020 , Zachar and Salaš 2019 ). Research presented in this paper proves that this is also true for the turn of the Early and Middle Bronze Age and the Drahotín ingots. At the same time, it proves that already in this period copper from far away, i.e. from the Alps, was distributed in the territory of Bohemia (however, other sources, including local ones, cannot be ruled out for other, as-yet non-analysed ingots). 5 Conclusion The research plan for the present study was to verify the hypothesis of a possible relationship between material in the form of casting cakes from Bronze Age hoards in the Domažlice region (western Bohemia, Central Europe) and the local mining district of Mutěnín-Měděnka. The discussion on its prospective prehistoric exploitation has been under way for more than half a century, supported by numerous pieces of mostly indirect evidence. A wide range of complementary natural science analyses (lead isotope, elemental and mineralogical analyses) used to evaluate copper casting cakes and ore samples from Mutěnín have revealed several probable sources of origin of the material. All analysed copper ingots were categorized as an unalloyed, highly refined copper material. The origin of most of the analysed ingots dated from the turn of the Early and Middle Bronze Age (Drahotín) can be traced to eastern Alpine deposits in the Mitterberg area (the Southern or Eastern District and the Southern District or the Main Lode) and to the region of the southeastern Alps (Valsugana and the Southalpine AATV group). The local origin of the copper from the Mutěnín copper mine can be considered for one ingot from Havlovice (LBA), which shows some geochemical similarities with the Ore Mountains and/or Bohemian sulphidic copper ores. However, this relationship has not been confirmed for other copper ingots that are currently being analysed and need to be proven by further studies of larger corpus of copper ingots. Declarations Author Contribution "J.K.: Writing – original draft, Visualization, Validation, Methodology, Investigation, Conceptualization. M. A.: Writing – original draft, Visualization, Project administration, Investigation, Conceptualization. M. F.: Writing – review & editing, Formal analysis. J. E. K.: Writing – review & editing, Formal analysis. Acknowledgements The present study is the output of the Internal Grant Project of the Museum of West Bohemia in Plzeň IGP 2023/01, “Archaeological and Natural Science Evaluation of the Evidence of Metallurgy from West Bohemia”. The study was supported by the AV21 Strategy's research programme "The City as a Laboratory of Change; Buildings, Heritage and the Environment for a Safe and Valuable Life". 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Universitätsforschungen zur prähistorischen Archäologie 169, Verlag Dr. Rudolf Habelt GmbH, Bonn, 67–104 Kmošek J, Kochergina YV, Chvojka O, Fikrle M (2020) Tracking Alpine copper – Analysis of Late Bronze Age Copper Ingot Hoard from South Bohemia. Archaeological and Anthropological Sciences, 12:1–21. https://doi.org/10.1007/s1252002001186z Kmošek J, Mihaljevič M (2020) Analýzy prvkového složení a poměrů izotopů olova kovových artefaktů z Mikulovic. In Ernée M, Langová M (eds.) Mikulovice. Pohřebiště starší doby bronzové na jantarové stezce. Památky archeologické, Supplementum 21, Archeologický ústav AV ČR, Praha, 404–409 Košler J (2008) Appendix A4: LAMDATE and LAMTOOL: Spreadsheet-based data reduction for laser ablation ICP-MS. In Sylvester PJ (ed) Laser Ablation ICP-MS in the Earth Sciences: Current Practices and Outstanding Issues. Mineralogical Association of Canada Short Course Series, 40:315–317 Kratochvíl F (1957) O starém dolování na měděnou rudu u Mutěnína v Českém lese. In Svoboda J (ed), Sborník Ústředního ústavu geologického 1956/23, oddíl geologický, 1. Díl, Ústřední ústav geologický, Praha, 341–363 Kratochvíl J (1961) Topografická mineralogie Čech IV. Československá akademie věd, Praha Krismer M, Vavtar F, Tropper P, Kaindl R, Sartory B (2011) The chemical composition of tetrahedrite-tennantite ores from the prehistoric and historic Schwaz and Brixlegg mining areas (North Tyrol, Austria). Eur. J. Mineral, 23:925–936 Lutz J, Pernicka E (2013) Prehistoric copper from the Eastern Alps. Open Journal of Archaeometry, 1: 122–127. https://doi.org/10.4081/arc.2013.e25 Mödlinger M, Trebsche P, Sabatini B (2021) Melting, smelting, and recycling: A regional study around the Late Bronze Age mining site of Prigglitz-Gasteil, Lower Austria. PLoS ONE 16(7): e0254096. https://doi.org/10.1371/journal. pone.0254096 Mödlinger M, Trebsche P (2020) Archaeometallurgical investigation of a Late Bronze Age hoard from Mahrersdorf in Lower Austria. Journal of Archaeological Science: Reports 33:1-15. https://doi.org/10.1016/j.jasrep.2020.102476 Möslein S, Pernicka E (2019) The metal analyses of the SSN-project (with catalogue). In Turck R, Stollner T, Goldenberg G (eds) Alpine Copper II – Alpenkupfer II – Rame delle Alpi II – Cuivre des Alpes II: new results and perspectives on prehistoric copper production. Der Anschnitt: Beiheft 42. Deutsches-Bergbau Museum, Marie Leidorf, Bochum, Rahden/Westfalen, 399–454 Niederschlag E, Pernicka E, Seifert T, Bartelheim M (2003) The determination of lead isotope ratios by multiple collector ICP‐MS: A case study of early Bronze Age artefacts and their possible relation with ore deposits of the Erzgebirge. Archaeometry, 45: 61–100 Pearce M, Merkel S, Hauptmann A, Nicolis F (2022) The smelting of copper in the third millennium cal BC Trentino, north-eastern Italy. Archaeological and Anthropological Sciences, 14(10): 1–21. https://doi.org/10.1007/s12520-021-01475-1 Pernicka E, Lutz J, Stöllner T (2016) Bronze Age Copper Produced at Mitterberg, Austria and its Distribution. Archaeologia Austriaca, 100: 19–55. https://doi.org/10.1553/archaeologia100s19 Pernicka E, Mehofer M (2013) Archäeometallurgische untersuchungen. In Lauermann E, Rammer E (eds) Die urnenfelderzeitlichen Metallhortfunde Niederösterreichs. Universitätsforschungen zur prähistorischen Archäologie, Band 226, 42-59 Rassmann K, Stos-Gale, ZA (2015) Vergleich der chemischen Analysen mit den Ergebnissen der Bleiisotopen-Analyse. In Ernée M (ed) Prag-Miškovice. Archäologische und naturwissenschaftliche Untersuchungen zu Grabbau, Bestattungssitten und Inventaren einer frühbronzezeitlichen Nekropole. Römisch-Germanische Forschungen 72, Verlag Philipp von Zabern, Darmstadt, 261–266 Rehren T, Northover P (1990) Selenium and tellurium in ancient copper ingots. In Wagner GA, Pernicka E (eds) Archaeometry ʼ90. Proceedings of the International Symposium on Archaeometry Heidelberg, Birkhäuser Verlag, Basel, Boston, Berlin, pp. 221–228 Ridley WI (2005) Plumbo-Isotopy: The Measurement of Lead Isotopes by MultiCollector Inductively Coupled Mass Spectrometry. U.S. Geological Survey Open-File Report 2005-1393, 1–16 Salaš M, Šálková T, Houfková P, Kmošek M (2020) Metalický depot z doby popelnicových polí z Babího lomu u Svinošic (okr. Blansko) a výpověď jeho kulturně-chronologického, sémantického a environmentálního kontextu. Archeologické rozhledy LXXII: 26-66 Salaš M, Nejedlá A, Havlíková M, Hošek J, Kmošek M, Msallamová Š, Petr l (2024) Vodní kovové depozitum doby popelnicových polí z Prosiměřic na Znojemsku: k otázkám vztahů depozit, sídel a vod. Přehled výzkumů 65/2 Schreiner M (2007) Erzlagerstätten im Hrontal, Slowakei: Genese und prähistorische Nutzung. Forschungen zur Archäometrie und Altertumswissenschaft. Marie Leidorf Verlag Silvestri E, Bellintani P, Hauptmann A (2019) Bronze Age copper ore mining and smelting in Trentino (Italy). In Turck R, Stollner T, Goldenberg G (eds) Alpine Copper II – Alpenkupfer II – Rame delle Alpi II – Cuivre des Alpes II: new results and perspectives on prehistoric copper production. Der Anschnitt: Beiheft 42. Deutsches-Bergbau Museum, Marie Leidorf, Bochum, Rahden/Westfalen, 261–278 Smejtek L (2015) Senomaty: příspěvek k poznání bronzových depotů stupně Br B1 v Čechách. Archeologie ve středních Čechách, 19: 573–591 Stockhammer PW, Massy K, Knipper C, Friedrich R, Kromer B, Lindauer S, Radosavljević J, Wittenborn F, Krause J (2015) Rewriting the Central European Early Bronze Age Chronology: Evidence from Large – Scale Radiocarbon Dating. PLoS ONE, 10(10), e0139705, 1–32. https://doi: 0.1371/journal.pone.0139705 Škácha P, Goliáš V, Sejkora J, Plasil J, Strnad L, Škoda R, Ježek, J (2009) Hydrothermal uranium-base metal mineralization of the Jánská vein, Březové Hory, Příbram, Czech Republic: Lead isotopes and chemical dating of uraninite. Journal of Geosciences, 54: 1–13 Tuček K (1970) Naleziště českých nerostů a jejich literatura 1951 – 1965. Praha Uden PC (2005) Selenium. In Worsfold P, Townshend A, Poole C (eds) Encyclopedia of Analytical Science (Second Edition), Elsevier, 216–224. https://doi.org/10.1016/B0-12-369397-7/00550-1 Zadnik MG, Specht S, Begemann F (1989) Revised isotopic composition of terrestrial mercury. International Journal of Mass Spectrometry and Ion Processes, 89: 103–110 Zachar T, Salaš M (2019) Příspěvek k problematice distribuce středoslovenské mědi na Moravě v mladší době bronzové na příkladě kovových depotů Blučina 1 a Blučina 13. Archeologické rozhledy, 71(4): 615–640 Additional Declarations No competing interests reported. Supplementary Files Supplementarymaterials.docx Cite Share Download PDF Status: Published Journal Publication published 18 Nov, 2025 Read the published version in Archaeological and Anthropological Sciences → Version 1 posted Editorial decision: Revision requested 11 Oct, 2025 Reviews received at journal 17 May, 2025 Reviews received at journal 15 May, 2025 Reviewers agreed at journal 26 Apr, 2025 Reviewers agreed at journal 25 Apr, 2025 Reviewers invited by journal 24 Apr, 2025 Editor assigned by journal 24 Apr, 2025 Submission checks completed at journal 24 Apr, 2025 First submitted to journal 22 Apr, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6507188","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":448473826,"identity":"588395e4-68dd-40d0-915c-5190689e056d","order_by":0,"name":"Jiří Kmošek","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAxElEQVRIiWNgGAWjYBACCTB5gE0OTD0gRYsxmEogQQtDYgOIJkqL5LTDhz98OMOXPj/s8EOgLXZyug0EtEhLp6VJzrjBlrvxdpoBUEuysdkBAlrkpHPMmHk+ALXMTgBpOZC4jQgtxp//fGBLN5yd/oE4LdLSOQbSDDfYEuSBDOK0SM4G+qXnDJvhBumcggMJBkT4ReJ28uEPP44dk5efnb75w4cKOzmCWqDgGIMBWKUBccpBoIZBvoF41aNgFIyCUTDCAACgzkc3DXN7LQAAAABJRU5ErkJggg==","orcid":"","institution":"Academy of Fine Arts Vienna","correspondingAuthor":true,"prefix":"","firstName":"Jiří","middleName":"","lastName":"Kmošek","suffix":""},{"id":448473827,"identity":"d6ab6927-3762-4558-b0fc-40b99bd701c0","order_by":1,"name":"Markéta Augustýnová","email":"","orcid":"","institution":"Museum of Westbohemia in Pilsen","correspondingAuthor":false,"prefix":"","firstName":"Markéta","middleName":"","lastName":"Augustýnová","suffix":""},{"id":448473829,"identity":"406b6027-0be3-4fc1-8748-79ec3aabc5e3","order_by":2,"name":"Marek Fikrle","email":"","orcid":"","institution":"Czech Academy of Sciences","correspondingAuthor":false,"prefix":"","firstName":"Marek","middleName":"","lastName":"Fikrle","suffix":""},{"id":448473830,"identity":"17cc41fe-8fda-4928-b8fb-14a056f2ffff","order_by":3,"name":"Yulia V. Erban Kochergina","email":"","orcid":"","institution":"Czech Geological Survey","correspondingAuthor":false,"prefix":"","firstName":"Yulia","middleName":"V. Erban","lastName":"Kochergina","suffix":""}],"badges":[],"createdAt":"2025-04-22 20:38:04","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6507188/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6507188/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s12520-025-02355-8","type":"published","date":"2025-11-18T15:59:01+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":81560908,"identity":"06e40807-2dc0-4cc5-aa1c-0b6a04741ca6","added_by":"auto","created_at":"2025-04-28 14:29:08","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":208029,"visible":true,"origin":"","legend":"\u003cp\u003eMap of areas with the presumed provenance of the analysed copper ingots. 1: Mutěnín-Měděnka mine and Domažlice region, 2: Mitterberg district, 3: Valsugana VMS group, 4: Southalpine AATV group, 5: Sadisdorf, 6: Horní Slavkov. Inserted geological map of the Western Bohemia (adopted after Ackerman et al. 2010) with position of Mutěnín (M) and Drahotín (D) intrusions. Graphics by J. Kmošek after Ackerman 2010.\u003c/p\u003e","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6507188/v1/835e1a7fa58e0bfea29baa3a.jpg"},{"id":81562677,"identity":"067de271-7c8b-4005-a326-062df73cc752","added_by":"auto","created_at":"2025-04-28 14:53:08","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":150194,"visible":true,"origin":"","legend":"\u003cp\u003eCasting cakes from the Drahotín (P89.482–P89.495), Havlovice (9-13) and Kout na Šumavě (P89.893) hoards. Graphics by M. Augustýnová.\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6507188/v1/57875ef580515bd5440228b7.jpg"},{"id":81560914,"identity":"398b3ff2-345b-4871-8232-20199d145cec","added_by":"auto","created_at":"2025-04-28 14:29:08","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":88618,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of lead isotope ratios \u003csup\u003e206\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb, \u003csup\u003e207\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb and \u003csup\u003e208\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb of the analysed copper minerals from Mutěnín copper mine and copper ingots from Drahotín and Havlovice sites. The lead isotope ratios of the analysed artefacts are supplemented with the results of isotopic analyses of copper and lead ore samples from Ore Mountains, the Bohemian Massif, central Slovakia, eastern Alps and south-eastern Alps. Source of data: Artioli et al. 2016; Niederschlag et al. 2003\u0026nbsp;; Pernicka et al. 2016; Schreiner 2007; Škácha et al. 2009. Graphics by J. Kmošek.\u003c/p\u003e","description":"","filename":"3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6507188/v1/d41f991f4fb2cbadadfb10c8.jpg"},{"id":81560913,"identity":"ce03cb3e-d63d-4cfa-8a5e-e70a06cd6378","added_by":"auto","created_at":"2025-04-28 14:29:08","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":91643,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of the chemical composition of the analysed copper ingots from Drahotín, Havlovice a Kout na Šumavě with copper ores from Mutěnín, individual copper mines and copper mineralization’s at Mitterberg, Kitzbühel-Kelchalm, Schwaz/Brixlegg, central Slovakia, Ore Mountains and Horní Slavkov. Data from Niederschlag et al. 2003; Pernicka et al. 2016; Krismer et al. 2011; Schreiner 2007. The compared concentrations of Sb, Ag and Ni are normalized by the content of copper of analysed Cu bearing minerals and plotted on a logarithmic scale. Graphics by J. Kmošek.\u003c/p\u003e","description":"","filename":"4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6507188/v1/2d37a275a3d76dbe2599fed7.jpg"},{"id":81562325,"identity":"1d8d3067-8404-4a11-8a9c-afff150f7d5e","added_by":"auto","created_at":"2025-04-28 14:45:08","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":99076,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of the chemical composition of the analysed copper ingots from Drahotín, Havlovice a Kout na Šumavě with copper ingots from South Bavarian Alpine piedmont, Salzburg, Tyrol, Lower Austria, Moravia and Bohemia regions. Data from Möslein and Pernicka 2019; Mödlinger and Trebsche 2020; Mödlinger et al. 2021; Pernicka and Mehofer 2013; Kmošek, et al. 2020; Ernée et al. 2024; Augustýnová et al. 2021; Frána et al. 2009; Salaš et al. 2020; Zachar and Salaš 2019. The compared concentrations of Sb, Ag and Ni are normalized by the content of copper of analysed copper ingots and plotted on a logarithmic scale. Graphics by J. Kmošek.\u003c/p\u003e","description":"","filename":"5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6507188/v1/cf865dd153af30fa53cc4795.jpg"},{"id":96650392,"identity":"c5b2f512-645c-4c69-9a11-0eb14068101b","added_by":"auto","created_at":"2025-11-24 16:11:52","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1931521,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6507188/v1/877f3f5d-d58c-4fbd-a9f6-839117e13840.pdf"},{"id":81561397,"identity":"4ce3a8e9-3bfe-43da-b1f2-e6caf36156be","added_by":"auto","created_at":"2025-04-28 14:37:08","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":32851,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementarymaterials.docx","url":"https://assets-eu.researchsquare.com/files/rs-6507188/v1/9b9a6ae5cc33034c559b5131.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Bronze Age copper ingots from the Domažlice region compared with the Mutěnín copper ore deposit in western Bohemia (Central Europe) ","fulltext":[{"header":"1 Introduction","content":"\u003cp\u003eThe Domažlice region (western Bohemia, Central Europe) has been discussed for several decades as an area where local copper deposits might have been exploited as early as prehistoric times, specifically in the Bronze Age. The discourse has gradually developed on the basis of numerous and diverse collected archaeological evidence (for a recent summary, see August\u0026yacute;nov\u0026aacute; \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). A relatively larger amount of metallurgical evidence comes from this seemingly peripheral region compared to the neighbouring Pilsen region, which is characterised by more favourable conditions for settlement and agricultural subsistence and dense Bronze Age settlement. The presented results of the research project build on current research in the field of archaeometallurgy (August\u0026yacute;nov\u0026aacute; \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) as well as on recent findings from the perspective of mining archaeology in this area (Chmel\u0026iacute;kov\u0026aacute; \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2012\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2014\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2017\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Several hoards containing metal ingots \u0026ndash; specifically, casting cakes \u0026ndash; was found at the Domažlice region (August\u0026yacute;nov\u0026aacute; \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). The hoards are considered to be one of the many indications (dense settlement network, cemeteries, hoards and stray finds, evidence of metallurgy from both flatland and hilltop settlements/hillforts) of prehistoric mining and metallurgical activity in the Domažlice region (August\u0026yacute;nov\u0026aacute; \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Selected ingots from the hoards have recently been subjected to detailed investigations of their morphology and material composition using various archaeological and natural science methods. These material studies provided information on the elemental composition of the ingots, the typology of products represented, and thus on the present stages of the \u003cem\u003echa\u0026icirc;ne op\u0026eacute;ratoire\u003c/em\u003e of metallurgical activities. Not many lead isotopic analyses of the Bronze Age copper based artefacts are available from the Bohemia region (see Ern\u0026eacute;e et al. \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Kmošek et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Kmošek and Mihaljevič \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Niederschlag et al. \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Rassmann and Stos-Gale \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). This study attempts to fill the gaps in the knowledge of the central European copper distribution network. The proximity of the ingots to the Mutěn\u0026iacute;n mine (with evidence of prehistoric mining) and at the same time the presence of evidence of copper metallurgy in the Domažlice region led to the idea of a possible relationship between these ingots and the Mutěn\u0026iacute;n-Měděnka mining area (August\u0026yacute;nov\u0026aacute; \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). However, to answer this question it was necessary to carry out above all the lead isotope analyses, which are the subject of the present paper.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eSeveral copper mines were exploited historically in the Domažlice region (Kratochv\u0026iacute;l \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e1957\u003c/span\u003e). The potential for the presence of prehistoric mining is highest for the mines near Mutěn\u0026iacute;n. Previous research in the region and a complex survey of the Mutěn\u0026iacute;n-Měděnka mining district carried out several years ago revealed many interesting findings that might indicate prehistoric mining (Chmel\u0026iacute;kov\u0026aacute; \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2012\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2014\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2017\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). The present paper aims to verify a hypothesis concerning the possible correlation between local ingot assemblages and local deposits in the Domažlice region from the perspective of the prospective origin of the raw material. A wide range of natural science methods (for example lead isotope analysis and complex elemental analysis of ingots and copper minerals) were used to evaluate the samples. There is still not enough information available on the position of Bohemia in the complex system of copper ores and copper raw material circulation within Central Europe in the Bronze Age which is an integral part of economic and social relations in Europe. The acquired results will help to extend the knowledge of the origin of copper material, for which only a few pilot provenance studies are available at present.\u003c/p\u003e \u003cdiv id=\"Sec2\" class=\"Section2\"\u003e \u003ch2\u003e1.1 Geology of the Mutěn\u0026iacute;n-Měděnka mining district\u003c/h2\u003e \u003cp\u003eThe boundary of the Tepl\u0026aacute;-Barrandian and the Moldanubian units in western Bohemia is accompanied by the occurrence of small plutonic bodies. There are three magmatic complexes from Western Bohemia \u0026ndash; Kdyně-Neukirchen, Drahot\u0026iacute;n and Mutěn\u0026iacute;n intrusions. Kdyně and Drahot\u0026iacute;n intrusions consist of gabbro, gabbro-diorite and syenite-granite mineralisation. Gabro-diorite show signs of Fe-Ti enrichment (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). All three bodies located within a maximum distance of 20 km have different geological history. D\u0026ouml;rr et al. (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2002\u003c/span\u003e) determined the age of the Kdyně massif to be 524\u0026thinsp;\u0026plusmn;\u0026thinsp;3 Ma, which is the Cadomian age. Mutěn\u0026iacute;n and Drahot\u0026iacute;n show Variscan ages of 342\u0026thinsp;\u0026plusmn;\u0026thinsp;2 and 332\u0026thinsp;\u0026plusmn;\u0026thinsp;3 Ma, respectively (D\u0026ouml;rr et al. \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e1998\u003c/span\u003e). The Mutěn\u0026iacute;n intrusion is a 7 km\u003csup\u003e2\u003c/sup\u003e area and has a strong concentric internal zonation of alkaline rocks with isolated bodies of Fe -diorite, followed by an intermediate zone of biotite-amphibole diorite, and quartz-biotite-amphibole diorite along the margin. The Drahot\u0026iacute;n is a small outcrop area of about 5 km\u003csup\u003e2\u003c/sup\u003e and was formed from tholeiitic magma generated at depths of 50 km (Ackerman et al. \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). The Mutěn\u0026iacute;n-Měděnka mining district is situated c. 15 km north-west of Domažlice. The mining complex itself is located c. 1 km east of the municipality of Mutěn\u0026iacute;n (Kratochv\u0026iacute;l \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e1957\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e1961\u003c/span\u003e) and app. 4 km from Drahot\u0026iacute;n hoard. Prehistoric mining has been considered there since the 1960s (for recent summary, see August\u0026yacute;nov\u0026aacute; \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Recent field walking campaigns, excavations and geochemical analyses in its immediate vicinity have brought further interesting findings in relation to Bronze Age mining hypotheses, especially the discussion of a correlation between the discovered prehistoric pottery fragments and a significantly increased concentration of copper in the sediments, demonstrably caused by human activities such as ore mining or processing (Chmel\u0026iacute;kov\u0026aacute; \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2012\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2014\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2017\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). In all probability based on these correlations, chalcopyrite was mined and/or processed in the Bronze Age at Mutěn\u0026iacute;n, but we cannot rule out a smaller-scale exploitation at neighbouring localities.\u003c/p\u003e \u003cp\u003eThe deposit itself consists of three historically known ore veins. They are quartz-carbonate veins with chalcopyrite that is irregularly disseminated in grains or clusters of several centimetres, deposited in phylonitised, hydrothermally altered rocks of the Bohemian quartz wall zone. The so-called \u0026ldquo;Mutěn\u0026iacute;n diorite boss\u0026rdquo;, which is immediately geologically associated with quartz-carbonate veins with chalcopyrite, is situated in the close vicinity of the \u0026ldquo;quartz wall\u0026rdquo; (Kratochv\u0026iacute;l \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e1957\u003c/span\u003e; Kratochv\u0026iacute;l \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e1961\u003c/span\u003e; Tuček \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e1970\u003c/span\u003e). In the oxidation zone of this deposit, chalcopyrite is transformed into secondary copper minerals such as chalcocite, bornite, lunnite (pseudomalachite), malachite and, sporadically, azurite (Kratochv\u0026iacute;l \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e1961\u003c/span\u003e). Very varied geological composition of the Domažlice region, rocks and minerals of different ages, as well as different magmatic and post-magmatic processes have influenced and diversified the isotopic composition of lead in minerals which are subject of our study.\u003c/p\u003e \u003c/div\u003e"},{"header":"2 Materials and methods","content":"\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.1 Analysed metal ingots and its dating\u003c/h2\u003e \u003cp\u003eIn order to determine the origin of the raw materials, ingots from Drahot\u0026iacute;n (Early Bronze Age/EBA II: Br A2/B1-B1), Kout na Šumavě (Late Bronze Age/LBA: Br D-Ha A1) and Havlovice (Late Bronze Age/LBA: Br D) (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e) were selected. Their dating range allowed an assessment of their relationship to Mutěn\u0026iacute;n-Měděnka both at the turn of the Early and Middle Bronze Age and in the Late Bronze Age. The assemblages from all currently analysed hoards included both ingots and finished products (tools, jewellery, weapons) that allowed chronological classification of the ingots: Drahot\u0026iacute;n \u0026minus;\u0026thinsp;14 fragments of casting cakes, whole and fragmentary final products; Havlovice \u0026minus;\u0026thinsp;5 fragments of casting cakes and fragments of final products; Kout na Šumavě \u0026minus;\u0026thinsp;1 casting cake fragment, fragments of final products (Chvojka et al. \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2017\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.2 Sampling\u003c/h2\u003e \u003cp\u003eIn order to more accurately determine the possible relationship of the metal ingots to the Mutěn\u0026iacute;n-Měděnka area, collection of ore samples, including primary and secondary copper minerals were taken directly from the gangue dumpsite of the Mutěn\u0026iacute;n-Měděnka mining complex (GPS coordinates: 49.5496225N, 12.7668547E) in the immediate vicinity of mined quartz-carbonate veins containing chalcopyrite. The obtained samples represent mining waste from the recent mining activity at the site. Copper minerals were sampled in the form of small grains or large clusters associated directly with the host rock \u0026ndash; quartz with a proportion of dolomite and calcite. Samples of individual minerals were preliminarily analysed using the pXRF method for the purpose of their basic chemical composition. Three representative samples of chalcopyrite (MUT_02, 03, 05) and three samples of secondary copper minerals (MUT_01, 04, 12) were selected for subsequent geochemical analyses. The selection of samples was aimed at the geochemical characterization of the present primary sulphide copper minerals as well as their oxidized forms from the upper oxidation zones of the deposit. The copper minerals were mechanically separated from the host rock to the maximum extent and only copper based minerals like chalcopyrite and malachite and brochantite with remaining amount of quartz were subjected to analyses. In the case of secondary copper minerals, it was not possible to effectively mechanically separate Cu minerals from the host rock and therefore the proportion of quartz and associated minerals is higher in these samples.\u003c/p\u003e \u003cp\u003eThe geological sample set was completed by a selection of copper ingots from Drahot\u0026iacute;n (14 samples), Kout na Šumavě (1 sample) and Havlovice (2 samples). The summarization of analysed copper ores and ingots with specification of extend of performed analysed is given in Tab. S1. The analyses were performed on assemblage of ingots currently available for authorised analytical examination. Within the framework of this study it was only possible to examine the ingot selection from the Domažlice region, and not all representatives of a hoard could always be comprehensively analysed (in the case of the Havlovice hoard). This sample selection also implies the possibility of a different origin of some ingots that were not available for analysis \u0026ndash; cf. the varied composition of the origin of ingots in individual hoard from other regions of the Czech Republic \u0026ndash; e.g. Kmošek et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Zachar and Salaš \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2019\u003c/span\u003e.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.3 Methodology of geochemical analysis\u003c/h2\u003e \u003cp\u003eThe corpus of copper minerals and copper ingots was analysed by a combination of various analytical methods. The mineralogical composition of copper minerals was analysed by X-ray powder diffraction analysis (XRD). Major, minor and trace elements composition of mineralogical samples and selection of copper ingots were determined using method of instrumental neutron activation analysis (INAA) supplemented by magnetic sector field ICP-MS (lead and bismuth concentrations). Energy dispersive X-ray fluorescence spectrometry (ED-XRF) was used for non-destructive chemical composition analysis of the selected ingots. Portable X-ray fluorescence spectrometry (pXRF) were used for semi quantitative elemental analysis of copper minerals. High resolution multi-collector-inductively coupled plasma mass spectrometry (HR-MC-ICP-MS) was used for the purpose of lead isotope ratio analyses. Technical details of the individual analytical methods used are described in the supplementary materials.\u003c/p\u003e \u003cdiv id=\"Sec7\" class=\"Section3\"\u003e \u003ch2\u003e2.3.1 Copper minerals\u003c/h2\u003e \u003cp\u003ePhase composition analysis using XRD was performed on a selection of 4 representative mineral samples. The results of XRD analysis are listed in the Table S2. The chemical compositions of 6 copper minerals were determined using a combination of INAA, magnetic sector field ICP-MS and pXRF methods. The results of the combined chemical composition analysis given in weight % and \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e are listed in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. Within the sample preparation, each of the analysed mineral samples was crushed using a mechanical press and divided into two fractions (0.16\u0026ndash;0.5 mm and \u0026lt;\u0026thinsp;0.16 mm). Each of these fractions was analysed separately by the INAA and pXRF methods. Stable lead isotope ratios of 6 samples of copper minerals were analysed by HR-MC-ICP-MS (for methodological details see Erban Kochergina et al. \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). The lead isotope ratios data are provided in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e and presented graphically in Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e using the preferred representation based on the \u003csup\u003e206\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb, \u003csup\u003e207\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb and \u003csup\u003e208\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb ratios.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eCombined results of compositional analysis of the selected copper minerals from Mutěn\u0026iacute;n. Analytical data are obtained by a combination of INAA, ICP-MS and pXRF methods. 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align=\"left\" colname=\"c21\"\u003e \u003cp\u003epXRF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c22\"\u003e \u003cp\u003epXRF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c23\"\u003e \u003cp\u003epXRF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c24\"\u003e \u003cp\u003epXRF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c25\"\u003e \u003cp\u003epXRF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c26\"\u003e \u003cp\u003epXRF\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c13\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c14\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c18\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c19\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c20\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c21\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c22\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c23\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c24\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c25\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c26\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_01_1 (0.16\u0026ndash;0.5 mm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6126\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e6.80\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e64.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e0.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e0.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_01_2 (\u0026lt;\u0026thinsp;0.16 mm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6127\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e15.53\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e62.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e1.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e1.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e0.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_02_1 (0.16\u0026ndash;0.5 mm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6128\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e28.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e31.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e7.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e1.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e0.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e28.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_02_2 (\u0026lt;\u0026thinsp;0.16 mm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6129\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e28.30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e30.46\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e4.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e2.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e0.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e36.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_03_1 (0.16\u0026ndash;0.5 mm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6130\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e29.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e33.88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e52\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e2.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e0.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e37.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_03_2 (\u0026lt;\u0026thinsp;0.16 mm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6131\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e30.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e34.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e53\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e0.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e0.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e44.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_04_1 (0.16\u0026ndash;0.5 mm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6132\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e2.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e60.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e7.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e0.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e0.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_04_2 (\u0026lt;\u0026thinsp;0.16 mm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6133\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4.48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e68.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e10.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e0.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e0.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_05_1 (0.16\u0026ndash;0.5 mm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6134\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e18.90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e19.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e31\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e22.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e2.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e0.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e15.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_05_2 (\u0026lt;\u0026thinsp;0.16 mm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6135\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e22.70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e23.59\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e22.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e3.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e0.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e0.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e20.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_12_1 (0.16\u0026ndash;0.5 mm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6136\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e48.54\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e136\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e64\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e9.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e0.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e0.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e0.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e12.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_12_2 (\u0026lt;\u0026thinsp;0.16 mm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6137\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e47.79\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e134\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e14.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e1.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e0.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e14.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDetection limits\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c18\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c19\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c20\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c21\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c22\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c23\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c24\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c25\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c26\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eLead isotopic ratios of the selected copper ores from Mutěn\u0026iacute;n and copper ingots from Drahot\u0026iacute;n and Havlovice as determined by HR-MC-ICP-MS method. 1SD\u0026thinsp;=\u0026thinsp;1 standard deviation above mean.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"13\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eObject no.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLab No.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e206Pb/204Pb\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e207Pb/204Pb\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e208Pb/204Pb\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003e208Pb/206Pb\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003e207Pb/206Pb\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003e1SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c13\"\u003e \u003cp\u003eExpected provenance\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.482\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5674\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e19.2032\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.7112\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.014\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e39.723\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.036\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2.0691\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00028\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.81792\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00013\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eMitterberg (Southern or Eastern district)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.483\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5675\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e17.9163\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.004\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.6469\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.004\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e38.142\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.009\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2.1293\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00012\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.87312\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00006\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eSoutheastern Alps (Valsugana?)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.483\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5675_repl\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e17.9171\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.004\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.6477\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.004\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e38.144\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2.1293\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.87314\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00006\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.485\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5676\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e18.3715\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.6652\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e38.419\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.038\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2.0917\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00029\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.85246\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eSoutheastern Alps\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.487\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5677\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e17.9581\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.006\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.6073\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e37.863\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.012\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2.1088\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00019\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.86891\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00008\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e?\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.489\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5679\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e20.1033\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.033\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.7615\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e40.015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.057\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1.9909\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00099\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.78380\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00071\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eMitterberg (Southern district or Main lode)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.494\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5678\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e19.2854\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.7271\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.013\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e39.570\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.034\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2.0523\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00040\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.81531\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00016\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eMitterberg (Southern or Eastern district)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.495\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5680\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e19.0571\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.010\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.7044\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.007\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e39.511\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.021\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2.0736\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00026\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.82381\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00017\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eMitterberg (Southern or Eastern district)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHavlovice_12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5681\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e18.8070\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.168\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.6251\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.139\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e38.321\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.374\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2.0375\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00134\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.83057\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00069\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eOre Mountains/Bohemia\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5686\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e21.0045\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.405\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.7024\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.288\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e38.796\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.756\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1.8470\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00535\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.74716\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00303\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5683\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e19.0613\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.060\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.6339\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.052\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e38.868\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.141\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2.0395\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00077\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.81993\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00041\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5687\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e18.8781\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.030\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.6264\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.022\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e38.789\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.065\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2.0549\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00074\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.82751\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00038\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5682\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e20.0852\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.040\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.6864\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.031\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e39.236\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.084\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1.9538\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00065\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.78071\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00040\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5689\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e19.0222\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.064\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.6348\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.050\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e38.853\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.135\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e2.0426\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00171\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.82148\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00097\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUT_12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5684\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e19.6659\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.054\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.6341\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.045\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e39.070\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.128\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1.9872\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00056\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0.79477\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0.00027\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section3\"\u003e \u003ch2\u003e2.3.2 Copper ingots\u003c/h2\u003e \u003cp\u003eThe chemical composition of 17 copper ingots was obtained by combining INAA and ED-XRF and magnetic sector field ICP-MS methods. The results of the combined chemical composition analysis expressed in weight % and \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e are given in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e. Lead isotopic analyses of 8 samples of copper ingots were performed using HR-MC-ICP-MS and the lead isotope ratios data are given in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. For the lead isotopic analyses were selected ingots for which a sufficient quantity of metal sample was available and covered the chemical composition variability of the corpus.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eCombined results of compositional analysis of the selected copper ingots. Analytical data are obtained by a combination of INAA, ICP-MS and ED-XRF methods. Results are given in weight % and \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"17\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c16\" colnum=\"16\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c17\" colnum=\"17\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eINAA No\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eSn\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eSb\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eBi\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003eCr\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c13\"\u003e \u003cp\u003eCo\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c14\"\u003e \u003cp\u003eAg\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c15\"\u003e \u003cp\u003eAu\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c16\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c17\"\u003e \u003cp\u003eU\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eSample\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eICP-MS\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eICP-MS\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c13\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c14\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c15\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c16\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c17\"\u003e \u003cp\u003eINAA\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ewt. %\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c13\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c14\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026micro;g.g-1\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eKout na Sumave_P89.886\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6111\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e101.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e256\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2242\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1626\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1244\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e566\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e857\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHavlovice_11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eED-XRF\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e98.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;500\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e 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colname=\"c16\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHavlovice_12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6105\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e102.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e250\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e43\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.482\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6091\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e95.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e826\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e892\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e128\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.483\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6092\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e94.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e11766\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e116\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e388\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e4208\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e7563\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1705\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e134\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e442\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e846\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.484\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6093\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e95.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e6908\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e5722\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e119\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e1712\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.485\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6094\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e93.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5566\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e118\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e12562\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1898\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e206\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e1825\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.486\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6095\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e90.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e13821\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e8707\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e2193\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e359\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e1226\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.487\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6096\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e95.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e726\u003c/p\u003e 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align=\"left\" colname=\"c16\"\u003e \u003cp\u003e27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.488\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6097\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e96.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e796\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e 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\u003cp\u003eDrahotin_P89.489\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6098\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e90.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e18170\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e15898\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e209\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e320\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.490\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6099\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e89.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e6550\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e22589\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1387\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e424\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e436\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.491\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e84.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e15828\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e28102\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e3985\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e756\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e815\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.492\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6101\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e92.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1597\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e794\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e71\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.493\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6102\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e94.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2929\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1781\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e139\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003en.a.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e85\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.494\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6103\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e95.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e875\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1194\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrahotin_P89.495\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6104\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e94.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2473\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e117\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e887\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e139\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e343\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e55\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e\u0026lt; d. l.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDetection limits\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e250\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e250\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c16\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c17\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"3 Results","content":"\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e3.1.1 Copper minerals\u003c/h2\u003e \u003cp\u003eFrom the mineralogical composition perspective, our studied samples from Mutěn\u0026iacute;n-Měděnka consists mainly of chalcopyrite (CuFeS\u003csub\u003e2\u003c/sub\u003e) and quartz (SiO\u003csub\u003e2\u003c/sub\u003e), represented in the analysed assemblage by samples MUT_02, MUT_03 and MUT_05. Sample of secondary copper mineral from the deposit\u0026rsquo;s surface layers (MUT_04) consist mainly of malachite (Cu\u003csub\u003e2\u003c/sub\u003e(OH)\u003csub\u003e2\u003c/sub\u003eCO\u003csub\u003e3\u003c/sub\u003e) and brochantite (Cu\u003csub\u003e4\u003c/sub\u003e(SO\u003csub\u003e4\u003c/sub\u003e)(OH)\u003csub\u003e6\u003c/sub\u003e) with portion of quartz and admixture of calcite (CaCO\u003csub\u003e3\u003c/sub\u003e). Another sample of secondary copper mineral contains malachite and high portion of quartz (MUT_01).The malachite and brochantite present are most likely a secondary formed minerals from the primary sulphide mineral chalcopyrite that forms the main ore veins of this copper deposit. XRD analysis was not performed for sample MUT_12, but the elemental composition shows, in addition to copper, higher concentrations of iron and sulphur, which correspond to the occurrence of both primary and secondary copper minerals. High percentages of quartz in all mineral samples and calcite in sample MUT_04 are associated with remaining host rock (see Tab. S2).\u003c/p\u003e \u003cp\u003eCopper concentration in chalcopyrite samples ranges from 21.3 to 34.1 wt. % and are accompanied by high sulphur (15.0\u0026ndash;44.8 wt. %) and iron (18.9\u0026ndash;30.0 wt. %) contents The chalcopyrite sample MUT_05 contains a significant proportion of host rock in the form of quartz and therefore the content of copper, sulphur and iron in this sample is lower. Secondary copper minerals contain variable copper concentrations ranging from 2.8 to 48.2 wt.% and considerably less iron (0.3\u0026ndash;6.6 wt. %) than chalcopyrite minerals.. All analysed minerals contain also variable portion of host rock minerals expressed by SiO\u003csub\u003e2\u003c/sub\u003e, Al\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e3\u003c/sub\u003e, K\u003csub\u003e2\u003c/sub\u003eO and TiO\u003csub\u003e2\u003c/sub\u003e contents. No significant differences in the elemental composition of mineral samples with different coarseness were observed.\u003c/p\u003e \u003cp\u003ePrimary (MUT_02, MUT_03, MUT_05) and secondary (MUT_04, MUT_12) copper minerals show very similar concentrations of admixture and trace elements. In such samples was detected lead (1\u0026ndash;6 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), arsenic (6\u0026ndash;136 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), antimony (\u0026lt;\u0026thinsp;1\u0026ndash;9 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), bismuth (1\u0026ndash;8 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), cobalt (3\u0026ndash;64 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), silver (13\u0026ndash;27 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), selenium (5\u0026ndash;53 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) and uranium (\u0026lt;\u0026thinsp;1\u0026ndash;7 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e). Composition of malachite sample MUT_01 slightly differs from others by it higher tin (19\u0026ndash;38 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) and uranium (4\u0026ndash;10 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) contents and lower arsenic, antimony, lead, bismuth, silver and selenium contents which are mostly at or below the limit of detection. Nickel was detected only in the finest fractions of the samples MUT_01 and MUT _12 in amounts 32 and 33 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. Zinc content was detected in finest fractions of samples MUT_01, MUT_04, MUT_05 and both fractions of sample MUT_12 in concentrations 10\u0026ndash;18 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. Gold content in all samples is below the detection limit. The results of elemental analyses clearly show that the smelting of both primary and secondary minerals from the Mutěn\u0026iacute;n deposit yielded copper containing, except for iron, very low concentrations of admixtures and trace elements, usually below 100 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e in the case of individual elements.\u003c/p\u003e \u003cp\u003eThe lead isotope ratios of copper-bearing sulphides form a homogeneous cluster in binary plots (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e) with the following ratios: \u003csup\u003e206\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb 18.878\u0026ndash;19.061, \u003csup\u003e207\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb 15.626\u0026ndash;15.634 and \u003csup\u003e208\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb 38.789\u0026ndash;38.868. In contrast to that, secondary copper-bearing minerals show more variable lead isotopic ratios compared to chalcopyrite minerals. The sample MUT_01 has higher \u003csup\u003e206\u0026ndash;207\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb ratios but similar \u003csup\u003e208\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb ratio and sample MUT_12 has higher \u003csup\u003e206\u0026ndash;208\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb ratios but similar \u003csup\u003e207\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb ratio. The sample MUT_04 has higher values for the three considered isotopic ratios \u003csup\u003e206\u0026ndash;207\u0026minus;208\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb. The most outlier values ​​of radiogenic lead isotopic ratios \u003csup\u003e206\u0026ndash;207\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb are shown by sample MUT_01, which also differs from other minerals in its elemental composition, especially by its low lead and relatively high uranium contents. Comparing the \u003csup\u003e206\u0026ndash;207\u0026minus;208\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb isotope ratios of chalcopyrite from Mutěn\u0026iacute;n with the selected Alpine and other Central European deposits, there is a considerable overlap only with selected copper-bearing sulphides from Horn\u0026iacute; Slavkov (western Bohemia) and Sadisdorf (Eastern Ore Mountains) (Niederschlag et al. \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). Other commonly considered copper mineral deposits from central Slovakia (Schreiner \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2007\u003c/span\u003e) and the Eastern and south-eastern Alps (H\u0026ouml;ppner et al. \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; Pernicka et al; \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2016\u003c/span\u003e, Addis \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2013\u003c/span\u003e; Artioli et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2016\u003c/span\u003e) differs from chalcopyrite from Mutěn\u0026iacute;n mainly in higher \u003csup\u003e207\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb isotopic ratios. The lead isotope ratios of secondary copper minerals with high portion of host rock from Mutěn\u0026iacute;n do not overlap with any of the analysed copper minerals from the above-mentioned ore sources (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). The lead isotope analyses of these secondary copper minerals are a very important source of information due to the considered surface mining at the site.\u003c/p\u003e \u003cdiv id=\"Sec11\" class=\"Section3\"\u003e \u003ch2\u003e3.1.2 Copper ingots\u003c/h2\u003e \u003cp\u003eTin was not detected in the copper ingots, except sample P89.483 which contain 388 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of tin. At the same time, all ingots are characterized by relatively low iron concentration (\u0026lt;\u0026thinsp;0.63 wt.%). All copper ingots can be therefore categorized as an unalloyed, highly refined copper material, based on the results of chemical composition analysis. The analysed ingots from Drahot\u0026iacute;n contain variable concentrations of nickel, arsenic, antimony, silver, cobalt, lead and bismuth. The concentrations of all other measured elements like zinc, lead, bismuth, gold, selenium and uranium are just below the INAA and ED-XRF detection limits, or they have not been detected at all. Based on the comparison of nickel concentrations and the concentrations of the so-called tetrahedrite group elements (arsenic, antimony, silver and bismuth), it is possible to distinguish the ingots from Drahot\u0026iacute;n into two clusters (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). The cluster characterized by higher concentrations of nickel and elements of the so-called tetrahedrite group is formed by ingots P89.483, P89.484, P89.485, P89.486, P89.489, P89.490, P89.491, that contain 5566\u0026ndash;18170 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Ni, 5722\u0026ndash;28 102 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of As, 209\u0026ndash;3985 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Sb, 61\u0026ndash;1825 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Ag, 13\u0026ndash;756 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Co, 14\u0026ndash;4208 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Pb and 6\u0026ndash;206 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Bi. The cluster with lower concentrations of nickel and elements of the so-called tetrahedrite group includes ingots P89.482, P89.487, P89.488, P89.492, P89.493, P89.494, P89.495, that contain 726\u0026ndash;2929 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Ni, 527\u0026ndash;1781 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of As, 11\u0026ndash;139 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Sb, 48\u0026ndash;128 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Ag, 16\u0026ndash;343 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Co, 11\u0026ndash;49 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Pb and 1\u0026ndash;3 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Bi. Copper ingot sample P89.886 from Kout na Šumavě has a significantly lower nickel content (256 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), but the concentrations of arsenic, antimony, silver and cobalt are between the intervals of the two clusters of ingots from Drahot\u0026iacute;n mentioned above. Ingot sample No. 12 from Havlovice differs from other ingots by low contents of all analysed elements \u0026ndash; below 50 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, except for iron (6000 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), nickel (248 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) and cobalt (86 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe analysed copper ingots show very heterogeneous lead isotope ratios, but in most cases, they can be assigned to particular copper ore deposits with proven or suspected EBA/MBA and LBA mining activities. Four copper ingots from Drahot\u0026iacute;n (P89.482, P89.489, P89.494 and P89.495) with isotope ratios of \u003csup\u003e206\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb \u0026gt; 19.057, \u003csup\u003e207\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb \u0026gt; 15.704 and \u003csup\u003e208\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb \u0026gt; 39.511 overlap with analysed copper-bearing sulphides from the Mitterberg mining district in the Eastern Alps (Pernicka et al. \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Ingots P89.482, P89.494 and P89.495 show the most intense overlap with minerals from the Mitterberg Southern or Eastern Districts and ingot P89.489 with the southern District or the Main Lode. Two other ingots from Drahot\u0026iacute;n with lower \u003csup\u003e206\u0026ndash;207\u0026minus;208\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb values correlate very well with copper minerals and prehistoric smelting slags from the Southeastern Alps (Addis \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2013\u003c/span\u003e, Artioli et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Ingot P89.483 from this group overlaps very well with chalcopyrite from the Valsugana VMS group and sample P89.485 with polymetallic sulphide-rich veins of the Southalpine AATV group and fahlores from the Carnia area (Artioli et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). The lead isotope ratios of ingot P89.487 from Drahot\u0026iacute;n do not overlap with any of the isotope ratios of minerals from the copper deposits under consideration, and the provenance of the copper material cannot be unambiguously determined at present. The lead isotope ratios of ingot No. 12 from Havlovice roughly overlap with the isotopic field of the Ore Mountains and Bohemia, especially with the chalcopyrites from Sadisdorf and Horn\u0026iacute; Slavkov (Niederschlag et al. \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). Chalcopyrites from Mutěn\u0026iacute;n also fall into the same isotopic field, but they differ from the ingot No. 12 from Havlovice by its significantly higher \u003csup\u003e208\u003c/sup\u003ePb/\u003csup\u003e204\u003c/sup\u003ePb isotope ratio.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"4 Discussion","content":"\u003cp\u003eAt the turn of the Early and Middle Bronze Age, the period to which the ingot assemblage from Drahot\u0026iacute;n is dated, copper ores of fahlore type with low or high nickel content occurred above all in central Europe, while chalcopyrite-type of copper with low contents of accompanied elements were used increasingly often (Fr\u0026aacute;na et al. \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e1995\u003c/span\u003e; Junghans et al. \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e1960\u003c/span\u003e, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e1968\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e1974\u003c/span\u003e). The origin of fahlore type copper is most often associated with tetrahedrite and tennantite deposits in the Inn valley in the Eastern Alps or to fahlore type ores from the Slovakian Ore Mountains (H\u0026ouml;ppner et al. \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; Lutz and Pernicka \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2013\u003c/span\u003e; Niederschlag et al. \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Pernicka et al. \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Schreiner \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2007\u003c/span\u003e). As possible sources of chalcopyrite type copper, deposits such as Mitterberg in the Eastern Alps, the Trentino region in the South-eastern Alps or the aforementioned Slovakian Ore Mountains are most frequently discussed (Artioli et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Pernicka et al. \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Schreiner \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2007\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe Mutěn\u0026iacute;n-Měděnka mining district is an example of locality with very complicated geological history. The presence of Cadomian and Variscan intrusions, with different geological origin (Ackerman et al. \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2010\u003c/span\u003e) creates ideal conditions for the formation of sulphide minerals with a different lead isotopic composition. Certainly, this locality deserves to be carefully geochemically investigated, in order to describe the relations between the sulfides and the host rock. The hypothesis of a possible relationship between material in the form of analysed casting cakes from Bronze Age hoards in the Domažlice region (western Bohemia, Central Europe) and the local mining district of Mutěn\u0026iacute;n-Měděnka was not unambiguously confirmed within this case study. The composition of all the Drahot\u0026iacute;n ingots analysed corresponds to a type of chalcopyrite copper with higher contents of nickel, arsenic, antimony and silver admixtures which are also characteristic of the chalcopyrite deposits at Mitterberg (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Three ingots (P89.482, P89.494 and P89.495) from Drahot\u0026iacute;n show an isotopic concordance with Mitterberg \u0026ndash; Southern or Eastern District and one (P89.489) with Mitterberg \u0026ndash; Southern District or Main Lode. The Mitterberg Main Lode and Eastern District copper deposits consist mainly of nickel-rich pyrite (FeS\u003csub\u003e2\u003c/sub\u003e), chalcopyrite (CuFeS\u003csub\u003e2\u003c/sub\u003e) and other cobalt-rich copper ores. In the Southern District, mineralization is strictly stratified with fine veins of pyrite, chalcopyrite and erythrite (Co\u003csub\u003e3\u003c/sub\u003e(AsO\u003csub\u003e4\u003c/sub\u003e)\u003csub\u003e2\u003c/sub\u003e\u0026middot;8H\u003csub\u003e2\u003c/sub\u003eO). Accessory minerals include gersdorffite (NiAsS), millerite (NiS), arsenopyrite (FeAsS) and the fahlore type of tetrahedrite and tenantite (Bernhard \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e1965\u003c/span\u003e, Pernicka et al. \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). The combined results of lead isotope ratios and elemental compositions document the distribution of semi-finished copper products in Bohemia already from the beginning of the exploitation of these deposits at Mitterberg. Thedating interval for the Drahot\u0026iacute;n hoard is the Early Bronze Age (EBA II) \u0026ndash; Br A2/B1\u0026ndash;B1, i.e., the 18\u0026ndash;16th century BC; the narrower one is c. 17th century BC, valid for Bohemia (for a more detailed discussion on the chronological categorization, see Brunner et al. \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Chvojka et al. \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Fr\u0026ouml;hlich et al. \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Hl\u0026aacute;sek and Chvojka \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Smejtek \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Stockhammer et al. \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). The beginning of the exploitation of the most extensive mining area in the Main Lode is estimated to be around 1700 BC (Breitenlechner et al. \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Kienlin and St\u0026ouml;llner \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Pernicka et al. \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2016\u003c/span\u003e); earlier dates, around the 19th \u0026ndash; 18th centuries BC, are estimated for mining in the Southern District; for the Eastern District, mining of the deposit is considered towards the end of the Early Bronze Age, while the local metallurgical complexes are dated to the Middle Bronze Age (Pernicka et al. \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2016\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe probable origin of two further ingots (P89.483, P89.485) from Drahot\u0026iacute;n, based on the lead isotope ratios analysis, is in the sulphide copper bearing deposits of the southeastern Alps (Artioli et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Within this area no mining districts dated to the Bronze Age have yet been found, but where metallurgical complexes dated to the Early Bronze Age are known (Cierny \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Pearce et al. \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Silvestri et al. \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Artioli et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). The Valsugana region, where metamorphosed volcanogenic massive sulphide (VMS) deposits containing chalcopyrite in a pyrite-dominated mineralization, with accessory sphalerite, galena and arsenopyrite occur, is considered from the perspective of potential provenance. Polymetallic sulphide-rich veins in Alto Adige, Trentino and Veneto (Southern Alps AATV Group) consisting of chalcopyrite-sphalerite-galena-pyrite mineralizations can also be considered. On the other hand, the region of Carnia, with its predominance of fahlore type minerals, can be excluded from the final consideration, since the ingots analysed do not show the characteristic composition of copper from fahlore type ores. The provenance of ingot P89.487 from Drahot\u0026iacute;n cannot be unambiguously determined. While the elemental composition results are consistent with other ingots from Drahot\u0026iacute;n with a presumed provenance in Mitterberg \u0026ndash; Southern or Eastern District (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e), the lead isotope ratios do not overlap with any of the previously characterised potential copper ore deposits (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). Seven other ingots from Drahot\u0026iacute;n (P89.484, P89.486, P89.488, P89.490, P89.491, P89.492, P89.493), for which the lead isotope ratios were not analysed, show considerable concordance with ingots containing lower concentrations of nickel, arsenic, antimony and silver and the presumed provenance in Mitterberg \u0026ndash; Southern or Eastern District ( P89.488, P89.492, P89.493) and ingots characterized by higher contents of these elements with a presumed provenance in Mitterberg \u0026ndash; Southern District/Main Lode or the south-eastern Alps (P89.484, P89.486, P89.490, P89.491).\u003c/p\u003e \u003cp\u003eThe lower nickel content (256 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) in ingot P89.886 from Kout na Šumavě (dated to LBA: Br D-Ha A1), for which the lead isotope ratios could not be determined, places the ingot at the edge of the Mitterberg copper ore cluster, where ores from central Slovakia also occur. Higher selenium contents (28 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) in the sample indicate a probable origin from sulphide deposits. However, the higher concentrations of arsenic, antimony and silver suggest that it is unlikely to have originated from the Mutěn\u0026iacute;n deposit.\u003c/p\u003e \u003cp\u003eThe lead isotope ratios of ingot No. 12 from Havlovice, dated the Late Bronze Age (LBA: Br D), roughly correlate also with chalcopyrite samples from Sadisdorf, Eastern Ore Mountains and Horn\u0026iacute; Slavkov, western Bohemia (Niederschlag et al. \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). However, chalcopyrite from the Ore Mountains, as well as Horn\u0026iacute; Slavkov, contain considerable proportions of fahlore, arsenopyrite, sphalerite, cassiterite and galena, shifting the overall composition of these minerals towards significantly higher contents of arsenic, antimony and silver (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e) and possibly also lead and tin (Niederschlag et al. \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). Except for slightly higher concentrations of nickel (248 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), the elemental composition of ingot No. 12 from Havlovice correlates very well with the composition of both primary and secondary copper ores from the Mutěn\u0026iacute;n deposit (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). However, the lead isotope ratios of that ingot are not compatible with that of the three chalcopyrite samples used to characterize the signature of the Mutěn\u0026iacute;n deposit. Higher concentrations of selenium in the metal matrix of the ingot (29 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) rather correspond to a sulphidic origin of the smelted copper ores. Selenium together with tellurium in various types of compounds are contained in higher concentrations above all in primary sulphidic ores such as chalcopyrite (Uden \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2005\u003c/span\u003e); they can also be detected as part of sulphidic inclusions in copper ingots (Kmošek et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Rehren and Northover, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e1990\u003c/span\u003e). Chalcopyrites from Mutěn\u0026iacute;n contain 33\u0026ndash;52 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of selenium meanwhile secondary copper ores from the same mine contain\u0026thinsp;\u0026lt;\u0026thinsp;29 \u0026micro;g.g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. The sample of ingot No. 11 from Havlovice was analysed only by ED-XRF, which does not allow such a detailed interpretation as in the case of ingot No. 12 from the same hoard.\u003c/p\u003e \u003cp\u003eCopper ingots from the Domažlice region were compared with the elemental composition of other analysed ingots from the South Bavarian Alpine piedmont, Salzburg and Tyrol regions (M\u0026ouml;slein and Pernicka \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2019\u003c/span\u003e), Lower Austria (M\u0026ouml;dlinger et al. \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; M\u0026ouml;dlinger and Trebsche \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Pernicka and Mehofer \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2013\u003c/span\u003e), Bohemia (Kmošek et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Ern\u0026eacute;e et al. \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; August\u0026yacute;nov\u0026aacute; et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Fr\u0026aacute;na et al. \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2009\u003c/span\u003e) and Moravia (Salaš et al. \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Salaš et al. \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Zachar and Salaš \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). From the comparison, it is clear that the major raw materials processed for the production of copper ingots are chalcopyrite ores and fahlore-type ores with variable nickel concentrations (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Ingots from the South Bavarian Alpine piedmont, Salzburg and Tyrol regions make intensive use of Mitterberg-type chalcopyrite copper and low-nickel fahlore-type ores characteristic of the Inn valley deposits. Copper ingots from the Domažlice region were compared with the elemental composition of other analyzed ingots from the South Bavarian Alpine piedmont, Salzburg and Tyrol regions (M\u0026ouml;slein, S. \u0026ndash; Pernicka, E. 2019), Lower Austria (M\u0026ouml;dlinger et al. \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2021\u003c/span\u003e, M\u0026ouml;dlinger and Trebsche \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2020\u003c/span\u003e, Pernicka and Mehofer \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2013\u003c/span\u003e), Bohemia (Kmošek et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e, Ern\u0026eacute;e et al. \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2024\u003c/span\u003e, August\u0026yacute;nov\u0026aacute; e al. 2021, Fr\u0026aacute;na et al. \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2009\u003c/span\u003e) and Moravia (Salaš et al. \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2020\u003c/span\u003e, Salaš et al. \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2024\u003c/span\u003e, Zachar and Salaš \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). From the comparison, it is clear that the major raw materials processed for the production of copper ingots are chalcopyrite ores and fahlore-type ores with variable nickel concentrations (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Ingots from the South Bavarian Alpine piedmont, Salzburg and Tyrol regions were produced from chalcopyrite copper of the Mitterberg type and fahlore ores with low nickel content characteristic of deposits in Schwaz and Brixlegg In the case of ingots from the Lower Austria region, Fahlore copper with variable nickel concentrations prevails and to a lesser extent chalcopyrite copper characterized by higher antimony contents is also represented. In copper ingots from Moravian deposits, chalcopyrite copper characterized by low nickel concentrations prevails and in the case of two ingots from the Borot\u0026iacute;n site dated to HA A1, the use of fahlore ores low in nickel content was confirmed (Zachar and Salaš \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). For copper ingots from different regions of Bohemia, chalcopyrite copper with very variable concentrations of antimony, nickel and silver is characteristic. The use of the fahlore type copper low in nickel concentrations was only proven in the case of six EBA ingots from Tursko hoard (Ern\u0026eacute;e et al. \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eIn case of Bohemia, provenance analyses of casting cakes based on lead isotopic and detailed chemical composition analysis are available only for an Early Bronze Age hoard of the \u0026Uacute;nětice culture from Tursko, Prague-West district (Ern\u0026eacute;e et al. \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) and for a Late Bronze Age hoard from Star\u0026eacute; Hodějovice, Česk\u0026eacute; Budějovice district (Kmošek et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Lead isotope ratios indicate the origin of EBA ingots from Tursko made of fahlore type copper low in nickel concentrations from the Eastern Alps, the Schwaz and Brixlegg mining region on the lower reaches of the River Inn (Ern\u0026eacute;e et al. \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). The LBA ingots from Star\u0026eacute; Hodějovice made of chalcopyrite copper were assigned to the Alpine deposits of Mitterberg and the Trentino regions (Kmošek et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). When comparing lead isotope ratios of final products made of copper alloys found in Bohemia and dated to different phases of the Bronze Age (Ern\u0026eacute;e et al. \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Kmošek et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Kmošek and Mihaljevič \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Niederschlag et al. \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Rassmann and Stos-Gale \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2015\u003c/span\u003e), no concordance was found with the geochemical characteristics of the newly described copper deposit in Mutěn\u0026iacute;n. The majority of the analysed artefacts dated to the EBA are made of fahlore type copper (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). For the turn of the EBA and MBA, the period to which the Drahot\u0026iacute;n ingots date, and for the MBA, there are no lead isotope analyses of finished products from the territory of Bohemia. More precise considerations of the provenance and circulation of copper raw materials in Bohemia will therefore only be revealed by future research. Even so, it can be stated at present that several different sources of copper were used in this territory even within one phase of the Bronze Age (similar as for LBA cf. Kmošek et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e, Zachar and Salaš \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Research presented in this paper proves that this is also true for the turn of the Early and Middle Bronze Age and the Drahot\u0026iacute;n ingots. At the same time, it proves that already in this period copper from far away, i.e. from the Alps, was distributed in the territory of Bohemia (however, other sources, including local ones, cannot be ruled out for other, as-yet non-analysed ingots).\u003c/p\u003e"},{"header":"5 Conclusion","content":"\u003cp\u003eThe research plan for the present study was to verify the hypothesis of a possible relationship between material in the form of casting cakes from Bronze Age hoards in the Domažlice region (western Bohemia, Central Europe) and the local mining district of Mutěn\u0026iacute;n-Měděnka. The discussion on its prospective prehistoric exploitation has been under way for more than half a century, supported by numerous pieces of mostly indirect evidence. A wide range of complementary natural science analyses (lead isotope, elemental and mineralogical analyses) used to evaluate copper casting cakes and ore samples from Mutěn\u0026iacute;n have revealed several probable sources of origin of the material. All analysed copper ingots were categorized as an unalloyed, highly refined copper material. The origin of most of the analysed ingots dated from the turn of the Early and Middle Bronze Age (Drahot\u0026iacute;n) can be traced to eastern Alpine deposits in the Mitterberg area (the Southern or Eastern District and the Southern District or the Main Lode) and to the region of the southeastern Alps (Valsugana and the Southalpine AATV group). The local origin of the copper from the Mutěn\u0026iacute;n copper mine can be considered for one ingot from Havlovice (LBA), which shows some geochemical similarities with the Ore Mountains and/or Bohemian sulphidic copper ores. However, this relationship has not been confirmed for other copper ingots that are currently being analysed and need to be proven by further studies of larger corpus of copper ingots.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003e\"J.K.: Writing \u0026ndash; original draft, Visualization, Validation, Methodology, Investigation, Conceptualization. M. A.: Writing \u0026ndash; original draft, Visualization, Project administration, Investigation, Conceptualization. M. F.: Writing \u0026ndash; review \u0026amp; editing, Formal analysis. J. E. K.: Writing \u0026ndash; review \u0026amp; editing, Formal analysis.\u003c/p\u003e\u003ch2\u003eAcknowledgements\u003c/h2\u003e \u003cp\u003eThe present study is the output of the Internal Grant Project of the Museum of West Bohemia in Plzeň IGP 2023/01, \u0026ldquo;Archaeological and Natural Science Evaluation of the Evidence of Metallurgy from West Bohemia\u0026rdquo;. The study was supported by the AV21 Strategy's research programme \"The City as a Laboratory of Change; Buildings, Heritage and the Environment for a Safe and Valuable Life\". Measurements were carried out at the CANAM infrastructure of the NPI CAS Rez supported by the EF16_013/0001812 project.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAckerman L, Krňansk\u0026aacute; M, Siebel W, Strnad L (2010) Geochemistry of the Drahot\u0026iacute;n and Mutěn\u0026iacute;n intrusions, West Bohemian shear zone, Bohemian massif: contrasting evolution of mantle-derived melts. Miner Petrol, 99:185\u0026ndash;199. https://doi.org/10.1007/s00710-010-0114-x\u003c/li\u003e\n\u003cli\u003eAddis A (2013) Late Bronze Age metallurgy in the Italian Eastern Alps: copper smelting slags and mine exploitation. 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Archeologick\u0026eacute; rozhledy, 71(4): 615\u0026ndash;640\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"archaeological-and-anthropological-sciences","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"aasc","sideBox":"Learn more about [Archaeological and Anthropological Sciences](http://link.springer.com/journal/12517)","snPcode":"12520","submissionUrl":"https://submission.nature.com/new-submission/12520/3","title":"Archaeological and Anthropological Sciences","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-6507188/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6507188/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis paper discusses the possible prehistoric exploitation of the local copper ore deposit Mutěn\u0026iacute;n-Měděnka in the Domažlice region, of western Bohemia, Central Europe. The research project deals with a possible relationship of the Bronze Age casting cake ingots discovered in this region to this historically documented mine. The study is based on the detailed material analysis of the ingots and geochemical characterization of samples of chalcopyrite and secondary copper minerals from this deposit. The results considerably help to extend the so far very limited knowledge of the origin of the Bronze Age copper material in Bohemia and reveal its position in the complex structure of the material distribution network within Central Europe. Provenance analyses of copper raw material combined the determination of lead isotope ratios by HR-MC-ICP-MS with chemical composition data obtained by INAA, ICP-MS and ED-XRF. The research provides new evidence for the origin of the casting cakes copper material in the late EBA or early MBA in Bohemia. Their origin is from chalcopyrite deposits in the eastern and southeastern Alps. Possible exploitation of sulphidic copper minerals from the Mutěn\u0026iacute;n-Měděnka local deposit in the LBA period has not been proven.\u003c/p\u003e","manuscriptTitle":"Bronze Age copper ingots from the Domažlice region compared with the Mutěnín copper ore deposit in western Bohemia (Central Europe)","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-04-28 14:29:03","doi":"10.21203/rs.3.rs-6507188/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-10-11T22:49:46+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-05-17T15:10:34+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-05-15T09:26:47+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"204007592510856469261352828408744372569","date":"2025-04-26T20:23:57+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"143629255578891723905295799805787674511","date":"2025-04-25T06:14:48+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-04-24T18:09:28+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-04-24T06:31:58+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-04-24T06:20:48+00:00","index":"","fulltext":""},{"type":"submitted","content":"Archaeological and Anthropological Sciences","date":"2025-04-22T20:22:41+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"archaeological-and-anthropological-sciences","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"aasc","sideBox":"Learn more about [Archaeological and Anthropological Sciences](http://link.springer.com/journal/12517)","snPcode":"12520","submissionUrl":"https://submission.nature.com/new-submission/12520/3","title":"Archaeological and Anthropological Sciences","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"e5468b1d-ade6-4b2d-95e7-6ff098894c3d","owner":[],"postedDate":"April 28th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-11-24T16:07:36+00:00","versionOfRecord":{"articleIdentity":"rs-6507188","link":"https://doi.org/10.1007/s12520-025-02355-8","journal":{"identity":"archaeological-and-anthropological-sciences","isVorOnly":false,"title":"Archaeological and Anthropological Sciences"},"publishedOn":"2025-11-18 15:59:01","publishedOnDateReadable":"November 18th, 2025"},"versionCreatedAt":"2025-04-28 14:29:03","video":"","vorDoi":"10.1007/s12520-025-02355-8","vorDoiUrl":"https://doi.org/10.1007/s12520-025-02355-8","workflowStages":[]},"version":"v1","identity":"rs-6507188","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6507188","identity":"rs-6507188","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}