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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Obreht, Igor; Zeeden, Christian; Hambach, Ulrich; Veres, Daniel; Marković, Slobodan B; Bösken, Janina; Svirčev, Zorica; Bačević, Nikola; Gavrilov, Milivoj B; Lehmkuhl, Frank (2016): Tracing the influence of Mediterranean climate on Southeastern Europe during the past 350,000 years. Scientific Reports, 6(36334), https://doi.org/10.1038/srep36334
    Publication Date: 2023-01-13
    Description: Loess-palaeosol sequences are valuable archives of past environmental changes. Although regional palaeoclimatic trends and conditions in Southeastern Europe have been inferred from loess sequences, large scale forcing mechanisms responsible for their formation have yet to be determined. Southeastern Europe is a climatically sensitive region, existing under the strong influence of both Mediterranean and continental climates. Establishment of the spatial and temporal evolution and interaction of these climatic areas is essential to understand the mechanisms of loess formation. Here we present high-resolution grain-size, environmental magnetic, spectrophotometric and geochemical data from the Stalac section (43°40.64812'N, 21°25.06967'E, 208 m a.s.l.) in the Central Balkans (Serbia) for the past ~350,000 years. The goal of this study is to determine the influence of the Mediterranean climate during this period. Data show that the Central Balkans were under different atmospheric circulation regimes, especially during Marine Isotope Stages 9 and 7, while continental climate prevailed further north. We observe a general weakening of the Mediterranean climate influence with time. Our data suggest that Marine Isotope Stage 5 was the first interglacial in the Central Balkans that had continental climate characteristics. This prominent shift in climatic conditions resulted in unexpectedly warm and humid conditions during the last glacial.
    Keywords: Serbia; SOIL; Soil profile; Stalac
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 2
    Publication Date: 2023-07-10
    Keywords: Depth, composite; DEPTH, sediment/rock; Magnetic susceptibility; Magnetic susceptibility, frequency dependence; Profile; Serbia; SOIL; Soil profile; Stalac
    Type: Dataset
    Format: text/tab-separated-values, 1540 data points
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  • 3
    Publication Date: 2023-07-10
    Keywords: Aluminium oxide; Arsenic; Barium; Calcium oxide; Chloride; Chromium; Cobalt; Copper; Depth, composite; DEPTH, sediment/rock; Iron oxide, FeO; Lead; Magnesium oxide; Manganese oxide; Neodymium; Nickel; Niobium; Phosphorus pentoxide; Potassium oxide; Profile; Rubidium; Serbia; Silicon dioxide; Sodium oxide; SOIL; Soil profile; Stalac; Strontium; Thorium; Titanium dioxide; Vanadium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 11790 data points
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  • 4
    Publication Date: 2023-07-10
    Keywords: Color, a*; Color, b*; Color, C*; Color, Hue; Color, L*, lightness; Color, u*; Color, v*; Color reflectance at 360 nm; Color reflectance at 370 nm; Color reflectance at 380 nm; Color reflectance at 390 nm; Color reflectance at 400 nm; Color reflectance at 410 nm; Color reflectance at 420 nm; Color reflectance at 430 nm; Color reflectance at 440 nm; Color reflectance at 450 nm; Color reflectance at 460 nm; Color reflectance at 470 nm; Color reflectance at 480 nm; Color reflectance at 490 nm; Color reflectance at 500 nm; Color reflectance at 510 nm; Color reflectance at 520 nm; Color reflectance at 530 nm; Color reflectance at 540 nm; Color reflectance at 550 nm; Color reflectance at 560 nm; Color reflectance at 570 nm; Color reflectance at 580 nm; Color reflectance at 590 nm; Color reflectance at 600 nm; Color reflectance at 610 nm; Color reflectance at 620 nm; Color reflectance at 630 nm; Color reflectance at 640 nm; Color reflectance at 650 nm; Color reflectance at 660 nm; Color reflectance at 670 nm; Color reflectance at 680 nm; Color reflectance at 690 nm; Color reflectance at 700 nm; Color reflectance at 710 nm; Color reflectance at 720 nm; Color reflectance at 730 nm; Color reflectance at 740 nm; Depth, composite; DEPTH, sediment/rock; Profile; Serbia; SOIL; Soil profile; Stalac
    Type: Dataset
    Format: text/tab-separated-values, 19532 data points
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  • 5
    Publication Date: 2023-07-10
    Keywords: Depth, composite; DEPTH, sediment/rock; Grain size, mean; Profile; Serbia; Size fraction 0.044-0.04 µm; Size fraction 0.048-0.044 µm; Size fraction 0.053-0.048 µm; Size fraction 0.058-0.053 µm; Size fraction 0.064-0.058 µm; Size fraction 0.07-0.064 µm; Size fraction 0.077-0.07 µm; Size fraction 0.084-0.077 µm; Size fraction 0.093-0.084 µm; Size fraction 0.102-0.093 µm; Size fraction 0.112-0.102 µm; Size fraction 0.122-0.112 µm; Size fraction 0.134-0.122 µm; Size fraction 0.148-0.134 µm; Size fraction 0.162-0.148 µm; Size fraction 0.178-0.162 µm; Size fraction 0.195-0.178 µm; Size fraction 0.214-0.195 µm; Size fraction 0.235-0.214 µm; Size fraction 0.258-0.235 µm; Size fraction 0.284-0.258 µm; Size fraction 0.311-0.284 µm; Size fraction 0.342-0.311 µm; Size fraction 0.375-0.342 µm; Size fraction 0.412-0.375 µm; Size fraction 0.452-0.412 µm; Size fraction 0.496-0.452 µm; Size fraction 0.545-0.496 µm; Size fraction 0.598-0.545 µm; Size fraction 0.656-0.598 µm; Size fraction 0.721-0.656 µm; Size fraction 0.791-0.721 µm; Size fraction 0.868-0.791 µm; Size fraction 0.953-0.868 µm; Size fraction 1.047-0.953 µm; Size fraction 1.149-1.047 µm; Size fraction 1.261-1.149 µm; Size fraction 1.385-1.261 µm; Size fraction 1.520-1.385 µm; Size fraction 1.668-1.52 µm; Size fraction 1.832-1.668 µm; Size fraction 10.777-9.817 µm; Size fraction 101.096-92.092 µm; Size fraction 1041.030-948.322 µm; Size fraction 11.831-10.777 µm; Size fraction 110.979-101.096 µm; Size fraction 1142.81-1041.03 µm; Size fraction 12.988-11.831 µm; Size fraction 121.829-110.979 µm; Size fraction 1254.54-1142.81 µm; Size fraction 133.740-121.829 µm; Size fraction 1377.19-1254.54 µm; Size fraction 14.257-12.988 µm; Size fraction 146.815-133.74 µm; Size fraction 15.651-14.257 µm; Size fraction 1511.83-1377.19 µm; Size fraction 161.168-146.815 µm; Size fraction 1659.63-1511.83 µm; Size fraction 17.181-15.651 µm; Size fraction 176.925-161.168 µm; Size fraction 18.861-17.181 µm; Size fraction 1821.88-1659.63 µm; Size fraction 194.222-176.925 µm; Size fraction 2.011-1.832 µm; Size fraction 2.207-2.011 µm; Size fraction 2.423-2.207 µm; Size fraction 2.66-2.423 µm; Size fraction 2.92-2.66 µm; Size fraction 20.705-18.861 µm; Size fraction 2000.00-1821.88 µm; Size fraction 213.210-194.222 µm; Size fraction 22.729-20.705 µm; Size fraction 234.054-213.21 µm; Size fraction 24.951-22.729 µm; Size fraction 256.936-234.054 µm; Size fraction 27.391-24.951 µm; Size fraction 282.056-256.936 µm; Size fraction 3.205-2.92 µm; Size fraction 3.519-3.205 µm; Size fraction 3.863-3.519 µm; Size fraction 30.069-27.391 µm; Size fraction 309.631-282.056 µm; Size fraction 33.008-30.069 µm; Size fraction 339.902-309.631 µm; Size fraction 36.235-33.008 µm; Size fraction 373.132-339.902 µm; Size fraction 39.778-36.235 µm; Size fraction 4.240-3.863 µm; Size fraction 4.655-4.24 µm; Size fraction 409.611-373.132 µm; Size fraction 43.667-39.778 µm; Size fraction 449.657-409.611 µm; Size fraction 47.936-43.667 µm; Size fraction 493.617-449.657 µm; Size fraction 5.110-4.655 µm; Size fraction 5.610-5.1 µm; Size fraction 52.622-47.936 µm; Size fraction 541.876-493.617 µm; Size fraction 57.767-52.622 µm; Size fraction 594.852-541.876 µm; Size fraction 6.158-5.61 µm; Size fraction 6.760-6.158 µm; Size fraction 63.414-57.767 µm; Size fraction 653.008-594.852 µm; Size fraction 69.614-63.414 µm; Size fraction 7.421-6.76 µm; Size fraction 716.849-653.008 µm; Size fraction 76.420-69.614 µm; Size fraction 786.932-716.849 µm; Size fraction 8.147-7.421 µm; Size fraction 8.943-8.147 µm; Size fraction 83.891-76.42 µm; Size fraction 863.866-786.932 µm; Size fraction 9.817-8.943 µm; Size fraction 92.092-83.891 µm; Size fraction 948.322-863.866 µm; SOIL; Soil profile; Stalac
    Type: Dataset
    Format: text/tab-separated-values, 48572 data points
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  • 6
    Publication Date: 2023-11-21
    Keywords: DEPTH, sediment/rock; Kappabridge; OUTCROP; Outcrop sample; Romania; Semlac_section; Susceptibility, specific
    Type: Dataset
    Format: text/tab-separated-values, 215 data points
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  • 7
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Zeeden, Christian; Kels, Holger; Hambach, Ulrich; Schulte, Philipp; Protze, Jens; Eckmeier, Eileen; Marković, Slobodan B; Klasen, Nicole; Lehmkuhl, Frank (2016): Three climatic cycles recorded in a loess-palaeosol sequence at Semlac (Romania) – Implications for dust accumulation in south-eastern Europe. Quaternary Science Reviews, 154, 130-142, https://doi.org/10.1016/j.quascirev.2016.11.002
    Publication Date: 2023-11-21
    Description: The volumetric magnetic susceptibility was measured at frequencies of 300 and 3000 Hz in a static field of 300 mA/m using a Magnon International VSFM in the Laboratory for Environmental- and Palaeomagnetism at the University of Bayreuth. The magnetic susceptibility was mass-normalised. The frequency dependence was calculated as MSfd = (MSlf - MShf) / MSlf *100 [%]. A spectrophotometer (Konica Minolta CM-5) was used to determine the colour of dried and homogenised sediment samples by detecting the diffused reflected light under standardised observation conditions (2° Standard Observer, Illuminant C). Colour spectra were obtained in the visible range (360 to 740 nm), in 10 nm increments, and the spectral data was converted into the Munsell colour system and the CIELAB Colour Space (L*a*b*, CIE 1976) using the Software SpectraMagic NX (Konica Minolta). The measurement of the particle size was conducted by using a Laser Diffraction Particle Size Analyzer (Beckman Coulter LS 13 320 PIDS) and by calculating the mean diameters of the particles within a size range of 0.04 - 2000 µm. Each sample was measured two times in two different concentrations to increase accuracy. Finally all measurements with reliable obscuration (8 - 12 %) were averaged.
    Keywords: AGE; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Color, L*, lightness; DEPTH, sediment/rock; OUTCROP; Outcrop sample; Romania; Semlac_section; Size fraction 0.044-0.04 µm; Size fraction 0.048-0.044 µm; Size fraction 0.053-0.048 µm; Size fraction 0.058-0.053 µm; Size fraction 0.064-0.058 µm; Size fraction 0.07-0.064 µm; Size fraction 0.077-0.07 µm; Size fraction 0.084-0.077 µm; Size fraction 0.093-0.084 µm; Size fraction 0.102-0.093 µm; Size fraction 0.112-0.102 µm; Size fraction 0.123-0.112 µm; Size fraction 0.134-0.123 µm; Size fraction 0.148-0.134 µm; Size fraction 0.162-0.148 µm; Size fraction 0.178-0.162 µm; Size fraction 0.195-0.178 µm; Size fraction 0.214-0.195 µm; Size fraction 0.235-0.214 µm; Size fraction 0.258-0.235 µm; Size fraction 0.284-0.258 µm; Size fraction 0.311-0.284 µm; Size fraction 0.342-0.311 µm; Size fraction 0.375-0.342 µm; Size fraction 0.412-0.375 µm; Size fraction 0.452-0.412 µm; Size fraction 0.496-0.452 µm; Size fraction 0.545-0.496 µm; Size fraction 0.598-0.545 µm; Size fraction 0.657-0.598 µm; Size fraction 0.721-0.657 µm; Size fraction 0.791-0.721 µm; Size fraction 0.869-0.791 µm; Size fraction 0.954-0.869 µm; Size fraction 1.047-0.954 µm; Size fraction 1.149-1.047 µm; Size fraction 1.261-1.149 µm; Size fraction 1.385-1.261 µm; Size fraction 1.520-1.385 µm; Size fraction 1.669-1.520 µm; Size fraction 1.832-1.669 µm; Size fraction 10.779-9.819 µm; Size fraction 101.1-92.099 µm; Size fraction 1041-948.34 µm; Size fraction 11.832-10.779 µm; Size fraction 110.99-101.1 µm; Size fraction 1142.8-1041 µm; Size fraction 12.989-11.832 µm; Size fraction 121.84-110.99 µm; Size fraction 1254.6-1142.8 µm; Size fraction 133.75-121.84 µm; Size fraction 1377.2-1254.6 µm; Size fraction 14.259-12.989 µm; Size fraction 146.82-133.75 µm; Size fraction 15.653-14.259 µm; Size fraction 1511.8-1377.2 µm; Size fraction 161.18-146.82 µm; Size fraction 1659.6-1511.8 µm; Size fraction 17.183-15.653 µm; Size fraction 176.93-161.18 µm; Size fraction 18.863-17.183 µm; Size fraction 1821.9-1659.6 µm; Size fraction 194.23-176.93 µm; Size fraction 2.011-1.832 µm; Size fraction 2.208-2.011 µm; Size fraction 2.423-2.208 µm; Size fraction 2.66-2.423 µm; Size fraction 2.92-2.66 µm; Size fraction 20.707-18.863 µm; Size fraction 2000-1821.9 µm; Size fraction 213.22-194.23 µm; Size fraction 22.732-20.707 µm; Size fraction 234.07-213.22 µm; Size fraction 24.954-22.732 µm; Size fraction 256.95-234.07 µm; Size fraction 27.393-24.954 µm; Size fraction 282.07-256.95 µm; Size fraction 3.206-2.920 µm; Size fraction 3.519-3.206 µm; Size fraction 3.863-3.519 µm; Size fraction 30.071-27.393 µm; Size fraction 309.64-282.07 µm; Size fraction 33.011-30.071 µm; Size fraction 339.92-309.64 µm; Size fraction 36.239-33.011 µm; Size fraction 373.15-339.92 µm; Size fraction 39.781-36.239 µm; Size fraction 4.241-3.863 µm; Size fraction 4.656-4.241 µm; Size fraction 409.63-373.15 µm; Size fraction 43.67-39.781 µm; Size fraction 449.67-409.63 µm; Size fraction 47.94-43.67 µm; Size fraction 493.63-449.67 µm; Size fraction 5.111-4.656 µm; Size fraction 5.610-5.111 µm; Size fraction 52.626-47.94 µm; Size fraction 541.89-493.63 µm; Size fraction 57.771-52.626 µm; Size fraction 594.87-541.89 µm; Size fraction 6.159-5.61 µm; Size fraction 6.761-6.159 µm; Size fraction 63.419-57.771 µm; Size fraction 653.02-594.87 µm; Size fraction 69.619-63.419 µm; Size fraction 7.422-6.761 µm; Size fraction 716.87-653.02 µm; Size fraction 76.425-69.619 µm; Size fraction 786.95-716.87 µm; Size fraction 8.148-7.422 µm; Size fraction 8.944-8.148 µm; Size fraction 83.897-76.425 µm; Size fraction 863.88-786.95 µm; Size fraction 9.819-8.944 µm; Size fraction 92.099-83.897 µm; Size fraction 948.34-863.88 µm; Susceptibility, frequency dependence; Susceptibility, specific
    Type: Dataset
    Format: text/tab-separated-values, 25585 data points
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  • 8
    Publication Date: 2021-07-21
    Description: The Upper Pleistocene geoarchives in the south‐eastern Carpathian Basin are represented predominantly by loess–palaeosol records. In 2015, a 10 m sediment core composed of clay‐rich lacustrine sediments was recovered by vibracoring a dry lake basin located between the Vršac Mountains (Serbia) and the Banat Sands in the south‐eastern Carpathian Basin; a location relevant for placing regional archaeological results in a palaeoenvironmental context. Here, we present results from geoelectrical prospection and a lithostratigraphic interpretation of this sequence supported by a detailed granulometric study supplemented by ostracod analysis. An age model based on luminescence dating is discussed against sedimentological proxy data and its implication for palaeoenvironmental change. The cores show a stratigraphy of lighter ochre‐coloured and darker greyish sediment, related to the deposition of clay and silt trapped in an aquatic environment. Geophysical measurements show ~20 m thick lacustrine sediments. The grain‐size distributions including the variability in fine clay are indicative of a lacustrine environment. Fine particles were brought into the depositional environments by aquatic input and settled from suspension; also, direct dust input is constrained by grain‐size results. Riverine input and aeolian dust input interplayed at the locality.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: Program IDEI_Proiecte de Cercetare Exploratorie
    Description: Serbian Ministry of Education, Science and Technological Development
    Keywords: 551 ; 554 ; Carpathian Basin ; Late Quaternary ; lacustrine sediment ; geoelectric analyses ; luminescence dating ; grain‐size analysis ; environmental dynamics
    Type: article
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  • 9
    Publication Date: 2021-10-01
    Description: In the Middle Danube Basin, Quaternary deposits are widely distributed in the Vojvodina region where they cover about 95% of the area. Major research during the last two decades has been focused on loess deposits in the Vojvodina region. During this period, loess in the Vojvodina region has become one of the most important Pleistocene European continental climatic and environmental records. Here we present the dating results of 15 samples taken from the Nosak loess-palaeosol sequence in northeastern Serbia in order to establish a chronology over the last three glacial–interglacial cycles. We use the pIRIR290 signal of the 4–11 μm polymineral grains. The calculated ages are within the error limits partially consistent with the proposed multi-millennial chronostratigraphy for Serbian loess. The average mass accumulation rate for the last three glacial–interglacial cycles is 265 g m−2 a−1, which is in agreement with the values of most sites in the Carpathian Basin. Our results indicate a highly variable deposition rate of loess, especially during the MIS 3 and MIS 6 stages, which is contrary to most studies conducted in Serbia where linear sedimentation rates were assumed.
    Keywords: 554.3 ; Middle Danube Basin ; Quaternary ; loess-palaeosol sequence ; dating results
    Language: English
    Type: map
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  • 10
    Publication Date: 2022-03-29
    Description: We investigate the glacial climate conditions in the southeastern Carpathian Basin (Vojvodina, Serbia) based on the reconstruction of malacological palaeotemperatures and results from a high‐resolution regional climate simulation. Land snail assemblages from eight loess profiles are used to reconstruct July temperatures during the Last Glacial Maximum (LGM). The malacological reconstructed temperatures are in good agreement with the simulated LGM July temperatures by the Weather Research and Forecast model. Both methods indicate increasing temperatures from the northwestern towards the southeastern parts of the study area. LGM aridity indices calculated based on the regional climate model data suggest more arid conditions in the southeastern parts compared with more humid conditions in the northwestern parts. However, for present‐day conditions, the moisture gradient is reversed, exhibiting more humid (arid) conditions in the southeast (northwest). An explanation for the reversed LGM aridity pattern is provided by an analysis of the prevailing wind directions over the South Banat district (Serbia). The prevailing moist northwesterly winds during summer are not able to compensate for the annual lack of moisture induced by the dry winds from the southeast that are more frequent during the LGM for the other seasons.
    Description: Helmholtz Association http://dx.doi.org/10.13039/501100009318
    Description: Past Global Changes http://dx.doi.org/10.13039/100010439
    Keywords: ddc:551.6
    Language: English
    Type: doc-type:article
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