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  • 1
    Keywords: Mineralogy. ; Archaeology. ; Geochemistry. ; Mineralogy. ; Archaeology. ; Geochemistry.
    Description / Table of Contents: Preface -- General Problems and Methods of Geoarcheology -- The Usage of Rocks and Minerals by ancient Societies -- Paleometallurgy and Composition of ancient Metal Products.
    Abstract: This book presents general problems in geoarchaeology, and discusses geophysical solutions, X-ray fluorescence spectrometry applications, X-ray and isotope analyses and GIS technologies. It also examines practical reconstructions of technological processes used in ancient time, and investigates the use of minerals and rocks by ancient societies in the territories of modern Russia, Ukraine, Turkmenistan, and Tajikistan, as well as the characteristics of ores, metallurgical slags and data on the composition and impurities of archaeological metals. Intended for archaeologists, historians, museum workers and geologists studying noble metals and copper, the book is also a useful resource for students, graduate students, experts and anyone interested in the use of various minerals at different stages of humanity’s development.
    Type of Medium: Online Resource
    Pages: XV, 186 p. 61 illus., 31 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030488642
    Series Statement: Springer Proceedings in Earth and Environmental Sciences,
    DDC: 549
    Language: English
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  • 2
    Keywords: Earth sciences. ; Mineralogy. ; Archaeology. ; Mass spectroscopy. ; Earth Sciences. ; Mineralogy. ; Archaeology. ; Mass Spectrometry.
    Description / Table of Contents: Internal and external impulses for the development of ancient Chinese metallurgy -- Iron sources and technologies during the Early Iron Age in the Northern Pontic region -- Lead isotope analysis of the Bronze Age metal from the steppe of the Cis- and Trans-Urals -- Metalworking and metallurgical slag in the Tokskoe Late Bronze Age settlement -- Arrowheads from Two Sarmatian Burials of the One Mound: Metal Composition and Shape Relation -- The ancient Bronzes of Bashkiria: findings on the composition of non-ferrous metal obtained at the burial grounds of the Bronze Age -- Mineral Composition of the Ground Material from the Stone Pestles of the Gonur-Depe Administrative and Religious Center (South-Eastern Karakum -- Comparison of the results of studying the alloy composition of coins of the Chersonesos minting during Roman and Byzantine times -- A Crucible with Solidified Substance or an Ore Sample: Experience of the Complex Analysis of a Unique Find of the Chepetskaya Archaeological Culture -- Kazburun archaeological micro-district of the Late Bronze Age and copper ore mines in the Southern Trans-Urals.
    Abstract: This book of Springer Proceedings in Geoarchaeology and Archaeological Mineralogy contains selected papers presented at the 7th Geoarchaeology Conference, which took place during October 19–23, 2020, at the South Urals Federal Research Center, Ural Branch of Russian Academy of Sciences, Miass, Russia. The Proceedings combine studies in archeometry, geoarchaeology, and ancient North Eurasian technologies, including paleometallurgy, stone tools investigation, past exploitation of geological resources, bioarchaeology, residue analysis, pottery, and lithics studies. This book also specializes in various non-organic materials, rocks, minerals, ores, and metals, especially copper and metallurgical slags. Many types of research also use modern analytical methods of isotopic, chemical, and mineralogical analysis to address the composition and structure of ancient materials and the technological practices of past human populations of modern Russia, Ukraine, Turkmenistan, Tajikistan, and Mongolia. This book is intended for archaeologists, historians, museum workers, and geologists, as well as students, researchers from other disciplines, and the general public interested in the interdisciplinary research in the field of archaeology and archaeological materials, strategies and techniques of past quarrying, mining, metallurgy and lithic technologies at different chronological periods in Eurasian steppe and adjacent forest zone.
    Type of Medium: Online Resource
    Pages: XV, 452 p. 144 illus., 123 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030860400
    Series Statement: Springer Proceedings in Earth and Environmental Sciences,
    DDC: 550
    Language: English
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  • 3
    Publication Date: 2018-11-01
    Print ISSN: 0008-4476
    Electronic ISSN: 1499-1276
    Topics: Geosciences
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  • 4
    Publication Date: 2019-11-30
    Description: In the paper, the results of an investigation into trace elements found in slag sulfides from 14 archaeological Bronze Age settlements of the Cis-Urals, Trans-Urals, and North and Central Kazakhstan are presented. The study used Cu-(Fe)-sulfides as indicator minerals. Cu-(Fe)-S minerals in slags are primarily represented by covellite and chalcocite, as well as by rarer bornite and single chalcopyrite grains. Slag sulfides formed relic clasts and neogenic droplets of different shapes and sizes. Supergenic ores in the Bronze Age in Urals and Kazakhstan played a significant role in the mineralogical raw material base. In sulfides, the main indicator elements, Fe, Co, Ni, As, Se, Te, Sb, Ag, Pb, and Bi, are important markers of copper deposit types. Sulfides from olivine Cr-rich spinel containing slags of Ustye, Turganik are characterized by As-Co-Ni high contents and confined to copper deposits in ultramafic rocks. Olivine sulfide-containing slags from Kamenny Ambar, Konoplyanka and Sarlybay 3 are characterized by Co-Se-Te assemblage and confined to mafic rocks. Glassy sulfide-containing slags from Katzbakh 6, Turganik, Ordynsky Ovrag, Ivanovskoe, Tokskoe, Bulanovskoe 2, Kuzminkovskoe 2, Pokrovskoe, Rodnikovoe, and Taldysay are characterized by Ag-Pb-(Ba)-(Bi) assemblage and confined to cupriferous sandstone deposits. High As, Sb, Sn, and Ba contents found in slags can be seen as indicators of alloying or flux components in primary copper smelting. These include samples from Ustye, Katzbakh 6, Rodnikovoe, and Taldysay sites, where high Ba and As slag contents are identified. The compilation of a database with a broad sample of sulfide compositions from Bronze Age slags and mines in the Urals and Kazakhstan will permit the further identification of ore types and raw materials associated with a particular deposit.
    Electronic ISSN: 2075-163X
    Topics: Geosciences
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  • 5
    Publication Date: 2024-06-12
    Keywords: Date/Time of event; Event label; HAND; Inductively coupled plasma - mass spectrometry (ICP-MS); isoscape; Latitude of event; Longitude of event; Sample ID; Sampling by hand; SDCSU20-21_1; SDCSU20-21_10; SDCSU20-21_101; SDCSU20-21_102; SDCSU20-21_103; SDCSU20-21_104; SDCSU20-21_105; SDCSU20-21_106; SDCSU20-21_107; SDCSU20-21_108; SDCSU20-21_109; SDCSU20-21_11; SDCSU20-21_110; SDCSU20-21_111; SDCSU20-21_112; SDCSU20-21_113; SDCSU20-21_114; SDCSU20-21_115; SDCSU20-21_116; SDCSU20-21_117; SDCSU20-21_118; SDCSU20-21_119; SDCSU20-21_12; SDCSU20-21_120; SDCSU20-21_121; SDCSU20-21_122; SDCSU20-21_123; SDCSU20-21_124; SDCSU20-21_125; SDCSU20-21_13; SDCSU20-21_14; SDCSU20-21_15; SDCSU20-21_16; SDCSU20-21_17; SDCSU20-21_18; SDCSU20-21_19; SDCSU20-21_2; SDCSU20-21_20; SDCSU20-21_21; SDCSU20-21_22; SDCSU20-21_23; SDCSU20-21_24; SDCSU20-21_25; SDCSU20-21_26; SDCSU20-21_27; SDCSU20-21_28; SDCSU20-21_29; SDCSU20-21_3; SDCSU20-21_30; SDCSU20-21_31; SDCSU20-21_32; SDCSU20-21_33; SDCSU20-21_34; SDCSU20-21_35; SDCSU20-21_36; SDCSU20-21_37; SDCSU20-21_38; SDCSU20-21_39; SDCSU20-21_4; SDCSU20-21_40; SDCSU20-21_41; SDCSU20-21_42; SDCSU20-21_43; SDCSU20-21_44; SDCSU20-21_45; SDCSU20-21_46; SDCSU20-21_47; SDCSU20-21_48; SDCSU20-21_49; SDCSU20-21_5; SDCSU20-21_50; SDCSU20-21_51; SDCSU20-21_52; SDCSU20-21_53; SDCSU20-21_54; SDCSU20-21_55; SDCSU20-21_56; SDCSU20-21_57; SDCSU20-21_58; SDCSU20-21_59; SDCSU20-21_6; SDCSU20-21_60; SDCSU20-21_61; SDCSU20-21_62; SDCSU20-21_63; SDCSU20-21_64; SDCSU20-21_65; SDCSU20-21_66; SDCSU20-21_67; SDCSU20-21_68; SDCSU20-21_69; SDCSU20-21_7; SDCSU20-21_70; SDCSU20-21_8; SDCSU20-21_9; southern Trans-Urals; Southern Ural; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, uncertainty; strontium isotopes
    Type: Dataset
    Format: text/tab-separated-values, 285 data points
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  • 6
    Publication Date: 2024-06-12
    Keywords: Date/Time of event; Event label; HAND; Inductively coupled plasma - mass spectrometry (ICP-MS); isoscape; Latitude of event; Longitude of event; Sample ID; Sampling by hand; SDCSU20-21_1; SDCSU20-21_10; SDCSU20-21_101; SDCSU20-21_102; SDCSU20-21_103; SDCSU20-21_104; SDCSU20-21_105; SDCSU20-21_106; SDCSU20-21_107; SDCSU20-21_108; SDCSU20-21_109; SDCSU20-21_11; SDCSU20-21_110; SDCSU20-21_111; SDCSU20-21_112; SDCSU20-21_113; SDCSU20-21_114; SDCSU20-21_115; SDCSU20-21_116; SDCSU20-21_117; SDCSU20-21_118; SDCSU20-21_119; SDCSU20-21_12; SDCSU20-21_120; SDCSU20-21_121; SDCSU20-21_122; SDCSU20-21_123; SDCSU20-21_124; SDCSU20-21_125; SDCSU20-21_13; SDCSU20-21_14; SDCSU20-21_15; SDCSU20-21_16; SDCSU20-21_17; SDCSU20-21_18; SDCSU20-21_19; SDCSU20-21_2; SDCSU20-21_20; SDCSU20-21_21; SDCSU20-21_22; SDCSU20-21_23; SDCSU20-21_24; SDCSU20-21_25; SDCSU20-21_26; SDCSU20-21_27; SDCSU20-21_28; SDCSU20-21_29; SDCSU20-21_3; SDCSU20-21_30; SDCSU20-21_31; SDCSU20-21_32; SDCSU20-21_33; SDCSU20-21_34; SDCSU20-21_35; SDCSU20-21_36; SDCSU20-21_37; SDCSU20-21_38; SDCSU20-21_39; SDCSU20-21_4; SDCSU20-21_40; SDCSU20-21_41; SDCSU20-21_42; SDCSU20-21_43; SDCSU20-21_44; SDCSU20-21_45; SDCSU20-21_46; SDCSU20-21_47; SDCSU20-21_48; SDCSU20-21_49; SDCSU20-21_5; SDCSU20-21_50; SDCSU20-21_51; SDCSU20-21_52; SDCSU20-21_53; SDCSU20-21_54; SDCSU20-21_55; SDCSU20-21_56; SDCSU20-21_57; SDCSU20-21_58; SDCSU20-21_59; SDCSU20-21_6; SDCSU20-21_60; SDCSU20-21_61; SDCSU20-21_62; SDCSU20-21_63; SDCSU20-21_64; SDCSU20-21_65; SDCSU20-21_66; SDCSU20-21_67; SDCSU20-21_68; SDCSU20-21_69; SDCSU20-21_7; SDCSU20-21_70; SDCSU20-21_8; SDCSU20-21_9; southern Trans-Urals; Southern Ural; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, uncertainty; strontium isotopes
    Type: Dataset
    Format: text/tab-separated-values, 285 data points
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  • 7
    Publication Date: 2024-06-12
    Description: The present dataset contains measurement of biovalable strontium isotopes (87Sr/86Sr) gathered in the southern Trans-Urals. There are four samples types, such as wormwood (n = 95), leached soil (n = 95), water (n = 93) and freshwater mollusks (n = 74), collected to measure bioavailable strontium isotopes. The analysis of Sr isotopic composition was carried out in the cleanrooms (6 and 7 ISO classes) of the Geoanalitik shared research facilities of the Institute of Geology and Geochemistry, the Ural Branch of the Russian Academy of Sciences (Ekaterinburg). Mollusk shell samples preliminarily cleaned with acetic acid, as well as vegetation samples rinsed with deionized water and ashed, were dissolved by open digestion in concentrated HNO 3 with the addition of H 2 O 2 on a hotplate at 150°C. Water samples were acidified with concentrated nitric acid and filtered. To obtain aqueous leachates, pre-ground soil samples weighing 1 g were taken into polypropylene containers, 10 ml of ultrapure water was added and shaken in for 1 hour, after which they were filtered through membrane cellulose acetate filters with a pore diameter of 0.2 μm. In all samples, the strontium content was determined by ICP-MS (NexION 300S). Then the sample volume corresponding to the Sr content of 600 ng was evaporated on a hotplate at 120°C, the precipitate was dissolved in 7M HNO 3 . Sample solutions were centrifuged at 6000 rpm and strontium was chromatographically isolated using SR resin (Triskem). The strontium isotopic composition was measured on a Neptune Plus multicollector mass spectrometer with inductively coupled plasma (MC-ICP-MS). To correct mass bias, a combination of bracketing and internal normalization according to the exponential law 88 Sr/ 86 Sr = 8.375209 was used. The results were additionally bracketed using the NIST SRM 987 strontium carbonate reference material using an average deviation from the reference value of 0.710245 for every two samples bracketed between NIST SRM 987 measurements. The long-term reproducibility of the strontium isotopic analysis was evaluated using repeated measurements of NIST SRM 987 during 2020-2022 and yielded 87 Sr/ 86 Sr = 0.71025, 2SD = 0.00012 (104 measurements in two replicates). The within-laboratory standard uncertainty (2σ) obtained for SRM-987 was ± 0.003 %.
    Keywords: isoscape; southern Trans-Urals; strontium isotopes
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 8
    Publication Date: 2024-06-12
    Keywords: Date/Time of event; Event label; HAND; Inductively coupled plasma - mass spectrometry (ICP-MS); isoscape; Latitude of event; Longitude of event; Sample ID; Sampling by hand; SDCSU20-21_1; SDCSU20-21_10; SDCSU20-21_101; SDCSU20-21_102; SDCSU20-21_103; SDCSU20-21_104; SDCSU20-21_105; SDCSU20-21_106; SDCSU20-21_107; SDCSU20-21_108; SDCSU20-21_109; SDCSU20-21_11; SDCSU20-21_110; SDCSU20-21_111; SDCSU20-21_112; SDCSU20-21_113; SDCSU20-21_114; SDCSU20-21_115; SDCSU20-21_116; SDCSU20-21_117; SDCSU20-21_118; SDCSU20-21_119; SDCSU20-21_12; SDCSU20-21_120; SDCSU20-21_121; SDCSU20-21_122; SDCSU20-21_123; SDCSU20-21_124; SDCSU20-21_125; SDCSU20-21_13; SDCSU20-21_14; SDCSU20-21_15; SDCSU20-21_16; SDCSU20-21_17; SDCSU20-21_18; SDCSU20-21_19; SDCSU20-21_2; SDCSU20-21_20; SDCSU20-21_21; SDCSU20-21_22; SDCSU20-21_23; SDCSU20-21_24; SDCSU20-21_25; SDCSU20-21_26; SDCSU20-21_27; SDCSU20-21_28; SDCSU20-21_29; SDCSU20-21_3; SDCSU20-21_30; SDCSU20-21_31; SDCSU20-21_32; SDCSU20-21_33; SDCSU20-21_34; SDCSU20-21_35; SDCSU20-21_36; SDCSU20-21_37; SDCSU20-21_38; SDCSU20-21_39; SDCSU20-21_4; SDCSU20-21_41; SDCSU20-21_42; SDCSU20-21_43; SDCSU20-21_44; SDCSU20-21_45; SDCSU20-21_46; SDCSU20-21_47; SDCSU20-21_48; SDCSU20-21_49; SDCSU20-21_5; SDCSU20-21_50; SDCSU20-21_51; SDCSU20-21_52; SDCSU20-21_53; SDCSU20-21_54; SDCSU20-21_55; SDCSU20-21_56; SDCSU20-21_57; SDCSU20-21_58; SDCSU20-21_59; SDCSU20-21_6; SDCSU20-21_60; SDCSU20-21_61; SDCSU20-21_62; SDCSU20-21_63; SDCSU20-21_64; SDCSU20-21_65; SDCSU20-21_67; SDCSU20-21_68; SDCSU20-21_69; SDCSU20-21_7; SDCSU20-21_70; SDCSU20-21_8; SDCSU20-21_9; southern Trans-Urals; Southern Ural; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, uncertainty; strontium isotopes
    Type: Dataset
    Format: text/tab-separated-values, 279 data points
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  • 9
    Publication Date: 2024-06-12
    Keywords: Event label; HAND; Inductively coupled plasma - mass spectrometry (ICP-MS); isoscape; Sample ID; Sampling by hand; SDCSU20-21_10; SDCSU20-21_101; SDCSU20-21_105; SDCSU20-21_107; SDCSU20-21_108; SDCSU20-21_109; SDCSU20-21_11; SDCSU20-21_110; SDCSU20-21_111; SDCSU20-21_112; SDCSU20-21_113; SDCSU20-21_114; SDCSU20-21_115; SDCSU20-21_117; SDCSU20-21_118; SDCSU20-21_119; SDCSU20-21_12; SDCSU20-21_120; SDCSU20-21_121; SDCSU20-21_122; SDCSU20-21_123; SDCSU20-21_124; SDCSU20-21_13; SDCSU20-21_14; SDCSU20-21_15; SDCSU20-21_16; SDCSU20-21_17; SDCSU20-21_19; SDCSU20-21_2; SDCSU20-21_20; SDCSU20-21_21; SDCSU20-21_22; SDCSU20-21_24; SDCSU20-21_25; SDCSU20-21_26; SDCSU20-21_27; SDCSU20-21_3; SDCSU20-21_30; SDCSU20-21_31; SDCSU20-21_32; SDCSU20-21_33; SDCSU20-21_34; SDCSU20-21_35; SDCSU20-21_36; SDCSU20-21_37; SDCSU20-21_38; SDCSU20-21_39; SDCSU20-21_4; SDCSU20-21_43; SDCSU20-21_44; SDCSU20-21_45; SDCSU20-21_47; SDCSU20-21_48; SDCSU20-21_49; SDCSU20-21_5; SDCSU20-21_51; SDCSU20-21_52; SDCSU20-21_53; SDCSU20-21_54; SDCSU20-21_55; SDCSU20-21_56; SDCSU20-21_59; SDCSU20-21_6; SDCSU20-21_60; SDCSU20-21_61; SDCSU20-21_62; SDCSU20-21_63; SDCSU20-21_64; SDCSU20-21_67; SDCSU20-21_68; SDCSU20-21_69; SDCSU20-21_7; SDCSU20-21_70; SDCSU20-21_8; southern Trans-Urals; Southern Ural; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, uncertainty; strontium isotopes
    Type: Dataset
    Format: text/tab-separated-values, 222 data points
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