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  • Data  (20)
  • PANGAEA  (20)
  • Deutsches GeoForschungsZentrum GFZ
  • EDP Sciences
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Keywords
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  • 1
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    Unknown
    Occurence and thickness of flood layers in varved sediments of Lake Ammersee (2012)
    PANGAEA
    In:  Supplement to: Czymzik, Markus; Brauer, Achim; Dulski, Peter; Plessen, Birgit; Naumann, Rudolf; von Grafenstein, Ulrich; Scheffler, Raphael (2013): Orbital and solar forcing of shifts in Mid- to Late Holocene flood intensity from varved sediments of pre-alpine Lake Ammersee (southern Germany). Quaternary Science Reviews, 61, 96-110, https://doi.org/10.1016/j.quascirev.2012.11.010
    Details
    Publication Date: 2023-01-13
    Description: Microfacies analyses and X-ray fluorescence scanning (µ-XRF) at sub-mm resolution were conducted on the varved Mid- to Late Holocene interval of two sediment profiles from pre-alpine Lake Ammersee (southern Germany). The coring sites are located in a proximal (AS10prox) and distal (AS10dist) position towards the main tributary River Ammer, in 1.8 km distance from each other. To shed light on sediment distribution within the lake, particular emphasis was (1) the detection of intercalated detrital layers and their micro-sedimentological features, and (2) intra-basin correlation of these event deposits. Detrital layers were dated by microscopic varve counting, verified by accelerator mass spectrometry 14C dating of terrestrial plant macrofossils. Since ~5500 varve years (vyr) BP, in total 1573 detrital layers were detected in either one or both of the investigated sediment profiles. Based on their microfacies, geochemistry, and proximal-distal deposition pattern, detrital layers were interpreted as River Ammer flood deposits. Earlier studies on flood layer seasonality have proven that flood layer deposition occurs predominantly during spring and summer, the flood season at Lake Ammersee. Most prominent features of the record are the onset of regular flood layer deposition at ~5500 vyr BP in AS10prox and ~ 2800 vyr BP in AS10dist as well as three major increases in mean flood layer thickness at ~5500, 2800, and 400 vyr BP. Integrating information from both sediment profiles allowed to interpret these changes in terms of shifts towards higher mean flood intensity. Proposed triggering mechanisms are gradual reduction in Northern Hemisphere orbital summer forcing and superimposed centennial-scale solar activity minima. Likely responses to this forcing are enhanced equator-to-pole temperature gradients and changes in synoptic-scale atmospheric circulation. The consequences for the Ammersee region are more intense cyclones leading to extremer rainfall and flood events in spring and summer.
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Whole rock and elements concentrations from IODP Hole 343-C0019E (2015)
    PANGAEA
    In:  Supplement to: Janssen, C; Naumann, Rudolf; Morales, L; Wirth, R; Rhede, D; Dresen, Georg (2015): Co-seismic and/or a-seismic microstructures of JFAST 343 core samples from the Japan Trench. Marine Geology, 362, 33-42, https://doi.org/10.1016/j.margeo.2015.01.013
    Details
    Publication Date: 2023-02-24
    Description: The microstructures, mineralogy and chemistry of four representative samples collected from cores extracted from the Japan Trench during Integrated Ocean Drilling Project Expedition 343, the Japan Trench Fast Drilling Project (JFAST) have been studied using optical microscopy, TEM, SEM, XRF, XRD and microprobe analyses. The samples provide a transect from relatively undeformed marine sediments in the hanging wall, to the undeformed footwall material, crossing the thrust interface between the Pacific and North American plate, where the fault slipped during the March 2011 Tohoku-Oki earthquake. Our preliminary results suggest that the low strength of JFAST fault gouge material is caused by the high amount of clay minerals (~ 60% smectite, ~ 14 illite). Clay minerals in the décollement (gouge) sample are partly replaced by newly formed manganese oxide, which precipitated from hydrothermal fluids. Dauphine twins were found in quartz grains of the décollement sample suggesting local high stress possible during seismic loading. Other microstructures cannot be assigned unambiguously to co-seismic or a-seismic faulting processes. The observed scaly clay fabric is consistent with observations in many other plate-boundary fault zones. Significant grain size reduction was found in the fault (decollement) zone sample. But a change in lithology of the fault material cannot be ruled out. Microstructures typical for a-seismic deformation like dissolution-precipitation features (e.g. dissolved grain boundaries, mineral alteration) occur in all JFAST core samples, but more frequently in the décollement sample.
    Keywords: Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
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    Neonicotinoids, Fipronil, Sulfoxaflor and related Transformation Products in water samples from the Bohai Sea and its surrounding rivers, in summer and fall 2018 (2022)
    PANGAEA
    Details
    Publication Date: 2023-02-12
    Description: Neonicotinoids, fipronil, sulfoxaflor and related transformation products were measured in river- and seawater samples from the Bohai Region, in China. Two sampling campaigns were conducted in 2018 in the Bohai Sea on board of the Chinese research vessel Chuangxin I: one in summer (18-25 August) and one in fall (23 November-14 December). Surface seawater samples were collected at approximately 5 m depth using a SBE991plus CTD (Sea-Bird Scientific, USA). In summer, 47 seawater samples were collected, whereas in fall only 34 sampling stations were possible to be collected due to bad weather conditions. Additionally, another 2 sampling campaigns were conducted in 2018 to 36 major rivers around the Bohai Sea and Northern Yellow Sea, approximately at the same time as the Bohai Sea campaigns, i.e. one in summer (23-30 August) and one in fall (29 October-7 November). The river water sampling stations were located as close as possible to the river mouths while avoiding the influence of salt water. All samples were prepared using an automated solid-phase extraction (SPE), using a LC-Tech FREESTYLE™ XANA workbench (LC Tech GmbH, Germany). Target insecticides were analysed by high performance liquid chromatography coupled to tandem mass spectrometry (HPLC-MS/MS). More information can be found in Naumann et al. (2022). The aims of the study were to: 1) investigate the occurrence and spatiotemporal distribution of the target analytes in river- and seawater of the Bohai region, China; 2) perform a fingerprint analysis to identify similarities in contamination patterns between river- and seawater; and 3) to perform an ecological risk assessment to freshwater and marine species based on risk quotients.
    Keywords: Acetamiprid; Acetamiprid, limit of detection; Acetamiprid, limit of quantification; Automated SPE using LCTech XANA Freestyle System followed by LC-MS/MS measurement, use of internal-standard method with isotope-labelled IS for quantification, satisfying method trueness and precision (according to SANTE/11813/2017), blank controls; BOHAI2018Aug; BOHAI2018Aug_Stat_BHB1; BOHAI2018Aug_Stat_BHB10; BOHAI2018Aug_Stat_BHB11; BOHAI2018Aug_Stat_BHB2; BOHAI2018Aug_Stat_BHB3; BOHAI2018Aug_Stat_BHB4; BOHAI2018Aug_Stat_BHB5; BOHAI2018Aug_Stat_BHB6; BOHAI2018Aug_Stat_BHB7; BOHAI2018Aug_Stat_BHB8; BOHAI2018Aug_Stat_BHB9; BOHAI2018Aug_Stat_Biliu_River_1; BOHAI2018Aug_Stat_Chaobai_New_River; BOHAI2018Aug_Stat_Dagu_Paiwu_River_1; BOHAI2018Aug_Stat_Daihe_River; BOHAI2018Aug_Stat_Daliao_River__1; BOHAI2018Aug_Stat_Daqing_River_1; BOHAI2018Aug_Stat_Dayang_River_1; BOHAI2018Aug_Stat_Dehui_River_1; BOHAI2018Aug_Stat_Douhe_River; BOHAI2018Aug_Stat_Duliujian_River_1; BOHAI2018Aug_Stat_Fuzhou_River_1; BOHAI2018Aug_Stat_Haihe_River_1; BOHAI2018Aug_Stat_Jiahe_River; BOHAI2018Aug_Stat_Jie_River; BOHAI2018Aug_Stat_Jiyun_River_1; BOHAI2018Aug_Stat_L1; BOHAI2018Aug_Stat_L2; BOHAI2018Aug_Stat_L3; BOHAI2018Aug_Stat_L4; BOHAI2018Aug_Stat_L5; BOHAI2018Aug_Stat_L6; BOHAI2018Aug_Stat_LDB1; BOHAI2018Aug_Stat_LDB10; BOHAI2018Aug_Stat_LDB11; BOHAI2018Aug_Stat_LDB12; BOHAI2018Aug_Stat_LDB13; BOHAI2018Aug_Stat_LDB2; BOHAI2018Aug_Stat_LDB3; BOHAI2018Aug_Stat_LDB4; BOHAI2018Aug_Stat_LDB5; BOHAI2018Aug_Stat_LDB6; BOHAI2018Aug_Stat_LDB7; BOHAI2018Aug_Stat_LDB8; BOHAI2018Aug_Stat_LDB9; BOHAI2018Aug_Stat_Liugu_River_1; BOHAI2018Aug_Stat_Luan_River_1; BOHAI2018Aug_Stat_LZB1; BOHAI2018Aug_Stat_LZB2; BOHAI2018Aug_Stat_LZB3; BOHAI2018Aug_Stat_LZB4; BOHAI2018Aug_Stat_LZB5; BOHAI2018Aug_Stat_LZB6; BOHAI2018Aug_Stat_M1; BOHAI2018Aug_Stat_M10; BOHAI2018Aug_Stat_M11; BOHAI2018Aug_Stat_M2; BOHAI2018Aug_Stat_M3; BOHAI2018Aug_Stat_M4; BOHAI2018Aug_Stat_M5; BOHAI2018Aug_Stat_M6; BOHAI2018Aug_Stat_M7; BOHAI2018Aug_Stat_M8; BOHAI2018Aug_Stat_M9; BOHAI2018Aug_Stat_Majia_River_1; BOHAI2018Aug_Stat_Qingjinghuang_Drainage_Canal_1; BOHAI2018Aug_Stat_Shuangtaizi_River_1; BOHAI2018Aug_Stat_Tahe_River; BOHAI2018Aug_Stat_Tanghe_River_1; BOHAI2018Aug_Stat_Tuhai_River_1; BOHAI2018Aug_Stat_Xiaoling_River_1; BOHAI2018Aug_Stat_Xiaoqing_River; BOHAI2018Aug_Stat_Xiaoqinglong_River_1; BOHAI2018Aug_Stat_Xingcheng_River; BOHAI2018Aug_Stat_Xuanhui_River_1; BOHAI2018Aug_Stat_Yalu_River_1; BOHAI2018Aug_Stat_Yanghe_River_1; BOHAI2018Aug_Stat_Yellow_River_1; BOHAI2018Aug_Stat_Yongding_New_River; BOHAI2018Aug_Stat_Yuhe_River; BOHAI2018Aug_Stat_Zhangwei_New_River_1; BOHAI2018Aug_Stat_Zhimai_River; BOHAI2018Aug_Stat_Ziya_New_River_1; BOHAISEA2018Nov; BOHAISEA2018Nov_Stat_BHB1; BOHAISEA2018Nov_Stat_Biliu_River_1; BOHAISEA2018Nov_Stat_Chaobai_New_River; BOHAISEA2018Nov_Stat_Dagu_Paiwu_River; BOHAISEA2018Nov_Stat_Daihe_River; BOHAISEA2018Nov_Stat_Daliao_River_; BOHAISEA2018Nov_Stat_Daqing_River; BOHAISEA2018Nov_Stat_Dayang_River_1; BOHAISEA2018Nov_Stat_Dehui_River; BOHAISEA2018Nov_Stat_Douhe_River; BOHAISEA2018Nov_Stat_Duliujian_River; BOHAISEA2018Nov_Stat_Fuzhou_River_1; BOHAISEA2018Nov_Stat_Haihe_River; BOHAISEA2018Nov_Stat_Jiahe_River; BOHAISEA2018Nov_Stat_Jie_River; BOHAISEA2018Nov_Stat_Jiyun_River_1; BOHAISEA2018Nov_Stat_L1; BOHAISEA2018Nov_Stat_L2; BOHAISEA2018Nov_Stat_L3; BOHAISEA2018Nov_Stat_L4; BOHAISEA2018Nov_Stat_L5; BOHAISEA2018Nov_Stat_L6; BOHAISEA2018Nov_Stat_LDB10; BOHAISEA2018Nov_Stat_LDB11; BOHAISEA2018Nov_Stat_LDB12; BOHAISEA2018Nov_Stat_LDB13; BOHAISEA2018Nov_Stat_LDB3; BOHAISEA2018Nov_Stat_LDB4; BOHAISEA2018Nov_Stat_LDB5; BOHAISEA2018Nov_Stat_LDB6; BOHAISEA2018Nov_Stat_LDB7; BOHAISEA2018Nov_Stat_LDB8; BOHAISEA2018Nov_Stat_LDB9; BOHAISEA2018Nov_Stat_Liugu_River; BOHAISEA2018Nov_Stat_Luan_River_1; BOHAISEA2018Nov_Stat_LZB1; BOHAISEA2018Nov_Stat_LZB2; BOHAISEA2018Nov_Stat_LZB4; BOHAISEA2018Nov_Stat_LZB5; BOHAISEA2018Nov_Stat_LZB6; BOHAISEA2018Nov_Stat_M1; BOHAISEA2018Nov_Stat_M10; BOHAISEA2018Nov_Stat_M11; BOHAISEA2018Nov_Stat_M2; BOHAISEA2018Nov_Stat_M3; BOHAISEA2018Nov_Stat_M4; BOHAISEA2018Nov_Stat_M5; BOHAISEA2018Nov_Stat_M6; BOHAISEA2018Nov_Stat_M7; BOHAISEA2018Nov_Stat_M8; BOHAISEA2018Nov_Stat_M9; BOHAISEA2018Nov_Stat_Majia_River; BOHAISEA2018Nov_Stat_Qingjinghuang_Drainage_Canal; BOHAISEA2018Nov_Stat_Shuangtaizi_River; BOHAISEA2018Nov_Stat_Tahe_River; BOHAISEA2018Nov_Stat_Tanghe_River; BOHAISEA2018Nov_Stat_Tuhai_River_1; BOHAISEA2018Nov_Stat_Xiaoling_River; BOHAISEA2018Nov_Stat_Xiaoqing_River; BOHAISEA2018Nov_Stat_Xiaoqinglong_River_1; BOHAISEA2018Nov_Stat_Xingcheng_River; BOHAISEA2018Nov_Stat_Xuanhui_River_1; BOHAISEA2018Nov_Stat_Yalu_River_1; BOHAISEA2018Nov_Stat_Yanghe_River; BOHAISEA2018Nov_Stat_Yellow_River; BOHAISEA2018Nov_Stat_Yongding_New_River; BOHAISEA2018Nov_Stat_Yuhe_River; BOHAISEA2018Nov_Stat_Zhangwei_New_River; BOHAISEA2018Nov_Stat_Zhimai_River; BOHAISEA2018Nov_Stat_Ziya_New_River; BUCKET; Bucket water sampling; Clothianidin; Clothianidin, limit of detection; Clothianidin, limit of quantification; CTD/Rosette; CTD-RO; Cycloxaprid; Cycloxaprid, limit of detection; Cycloxaprid, limit of quantification; Date/Time of event; DEPTH, water; Desnitro-imidacloprid; Desnitro-imidacloprid, limit of detection; Desnitro-imidacloprid, limit of quantification; Dinotefuran; Dinotefuran, limit of detection; Dinotefuran, limit of quantification; Event label; Fipronil; Fipronil, limit of detection; Fipronil, limit of quantification; Fipronil-desulfinyl; Fipronil-desulfinyl, limit of detection; Fipronil-desulfinyl, limit of quantification; Fipronil-sulfide; Fipronil-sulfide, limit of detection; Fipronil-sulfide, limit of quantification; Fipronil-sulfone; Fipronil-sulfone, limit of detection; Fipronil-sulfone, limit of quantification; Helmholtz-Zentrum Hereon; Hereon; Imidacloprid; Imidacloprid, limit of detection; Imidacloprid, limit of quantification; Imidaclothiz; Imidaclothiz, limit of detection; Imidaclothiz, limit of quantification; Latitude of event; Longitude of event; Nitenpyram; Nitenpyram, limit of detection; Nitenpyram, limit of quantification; Sample code/label; Sample method; Sulfoxaflor; Sulfoxaflor, limit of detection; Sulfoxaflor, limit of quantification; Thiacloprid; Thiacloprid, limit of detection; Thiacloprid, limit of quantification; Thiamethoxam; Thiamethoxam, limit of detection; Thiamethoxam, limit of quantification
    Type: Dataset
    Format: text/tab-separated-values, 7191 data points
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    DATA PANGAEA
  • 4
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    Occurence of flood laminae in sediments of Ammersee (2010)
    PANGAEA
    In:  Supplement to: Czymzik, Markus; Dulski, Peter; Plessen, Birgit; von Grafenstein, Ulrich; Naumann, Rudolf; Brauer, Achim (2010): A 450 year record of spring-summer flood layers in annually laminated sediments from Lake Ammersee (southern Germany). Water Resources Research, 46, W11528, 16 pp, https://doi.org/10.1029/2009WR008360
    Details
    Publication Date: 2023-06-27
    Description: A 450 year spring-summer flood layer time series at seasonal resolution has been established from the varved sediment record of Lake Ammersee (southern Germany), applying a novel methodological approach. The main results are (1) the attainment of a precise chronology by microscopic varve counting, (2) the identification of detrital layers representing flood-triggered fluxes of catchment material into the lake, and (3) the recognition of the seasonality of these flood layers from their microstratigraphic position within a varve. Tracing flood layers in a proximal and a distal core and correlating them by application of the precise chronology provided information on the depositional processes. Comparing the seasonal flood layer record with daily runoff data of the inflowing River Ammer for the period from 1926 to 1999 allowed the definition of an approximate threshold in flood magnitude above which the formation of flood layers becomes very likely. Moreover, it was possible for the first time to estimate the "completeness" of the flood layer time series and to recognize that mainly floods in spring and summer, representing the main flood seasons in this region, are well preserved in the sediment archive. Their frequency distribution over the entire 450 year time series is not stationary but reveals maxima for colder periods of the Little Ice Age when solar activity was reduced. The observed spring-summer flood layer frequency further shows trends similar to those of the occurrence of flood-prone weather regimes since A.D. 1881, probably suggesting a causal link between solar variability and changes in midlatitude atmospheric circulation patterns.
    Keywords: Age; AGE; Ammersee, Bavaria, Germany; AS_07-P1; Flood layer; PCUWI; Piston corer, UWITEC
    Type: Dataset
    Format: text/tab-separated-values, 3185 data points
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  • 5
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    (Table 1) General core information for IODP Hole 343-C0019E (2015)
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Keywords: 343-C0019E; Chikyu; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Exp343; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Japan Trench Fast Drilling Project; Sample code/label; Sample ID; Sample volume; Section Top in meters below surface
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 6
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    (Table 2) Whole rock analyses and analytical errors from IODP Hole 343-C0019E (2015)
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Keywords: 343-C0019E; Birnessite; Chikyu; Chlorite; Chlorite, standard deviation; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Exp343; Illite; Illite, standard deviation; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Japan Trench Fast Drilling Project; Moss, cover; Orthoclase; Orthoclase, standard deviation; Plagioclase; Plagioclase, standard deviation; Quartz; Quartz, standard deviation; Sample code/label; Sample ID; Smectite; Smectite, standard deviation; X-ray diffraction (XRD)
    Type: Dataset
    Format: text/tab-separated-values, 45 data points
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  • 7
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    (Table 3) Major and minor element concentrations from IODP Hole 343-C0019E (2015)
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Keywords: 343-C0019E; Aluminium oxide; Barium; Calcium oxide; Carbon dioxide; Chikyu; Chromium; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Exp343; Gallium; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Iron oxide, Fe2O3; Japan Trench Fast Drilling Project; Magnesium oxide; Manganese/Iron ratio; Manganese oxide; Nickel; Niobium; Phosphorus pentoxide; Potassium oxide; Rubidium; Sample code/label; Sample ID; Scanning electron microscope (SEM); Silicon dioxide; Sodium oxide; Strontium; Sum; Titanium dioxide; Vanadium; Water in rock; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 108 data points
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    DATA PANGAEA
  • 8
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    Annotated record of the detailed examination of Mn deposits retrieved from Swedish lakes (1922)
    PANGAEA
    In:  Supplement to: Naumann, Einar (1922): Södra och mellersta Sveriges sjö-och myrmalmer; deras bildningshistoria, utbredning och praktiska betydelse = Über die See- und Sumpferze Süd- und Mittelschwedens; ihre Genesis, Vorkommen und praktische Bedeutung = The formation, distribution, and practical implications of Ferriferous Lake and bog-ore deposits in Southern and Central Sweden. Sveriges Geologiska Undersokning, Serie C, Avhandlingar Och Uppsatser, 297, 178-194
    Details
    Publication Date: 2023-08-28
    Description: The various questions regarding the old problem of the genesis of lake and bog ores have, so far, never been the object of a summarizing paper from a present-day research aspect. Moreover, several special questions still remain quite unclear. The present paper therefore intends to closely examine a number of special questions and to provide a summarizing presentation of the whole problem. However, it is obvious that, in several respects, this paper cannot provide a final answer to all these special questions which belong to the most diverse fields of the natural sciences. Nevertheless, it will clearly delineate the problem for future research. (Translated from Swedish by the Translation Bureau (HEB) Multilingual Services Division Department of the Secretary of State of Canada, 1976).
    Keywords: Allgunnen_N; Bolmen_N; Deposit type; DEPTH, sediment/rock; Description; Event label; Identification; Lake Allgunnen, Sweden; Lake Bolmen, Sweden; Lake Salen, Sweden; Lake Strken, Sweden; Lake Unnen, Sweden; Lake Vidstern, Sweden; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Quantity of deposit; Salen_N; Straken_N; Unnen_N; Vidostern_N
    Type: Dataset
    Format: text/tab-separated-values, 19 data points
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  • 9
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    Core correlation of sediment core Lz1019 (2006)
    PANGAEA
    Details
    Publication Date: 2023-07-10
    Keywords: COMPCORE; Composite Core; Core; Depth, bottom/max; Depth, composite; DEPTH, sediment/rock; Depth, top/min; Germany, Brandenburg, Schwanensee; Intercore correlation; Lz1019; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 4644 data points
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  • 10
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    Sedimentological bulk parameters of sediment core Lz1019 (2006)
    PANGAEA
    In:  Institut für Geophysik und Geologie, Universität Leipzig
    Details
    Publication Date: 2023-12-13
    Keywords: Betula sp.; Calcium carbonate; Calculated after FOLK; Carbon, inorganic, total; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Carbon/sulfur ratio; Carex sp.; COMPCORE; Composite Core; Density, dry bulk; Depth, bottom/max; Depth, composite; DEPTH, sediment/rock; Depth, top/min; Fish remains; Frangula alnus; Germany, Brandenburg, Schwanensee; Grain size, mean; Grain size, sieving; Intercore correlation; Kurtosis; Lz1019; Median, grain size; Mode, grain size; Nitrogen, total; Ostracoda; Pinus sp.; Sample code/label; Sand; Siliciclastics; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 2 mm, gravel; Skewness; Sorting; Sulfur, total; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 1873 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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