5,587 research outputs found

    Total organic carbon, biogenic silica concentrations, total nitrogen concentrations and carbon nitrogen ratios in short sediment core from Lake 850, Sweden

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    Total organic carbon (TOC), biogenic silica (BSi) concentrations, total nitrogen (TN) concentrations and carbon nitrogen ratios (C/N) from short sediment core, which was taken in March 2019 from ice-covered lake are presented. The sediment core analyzes of TOC, TN and C/N were measured on 5 to 10 mg of freeze-dried sediment using elemental analyzer COSTECH ECS4010. The biogenic silica concentrations were determined using weak alkaline extraction by Conley and Schelske (2001) using 30mg of freeze-dried sediment reacting with 40ml of 0.1M Na2CO3 for 5 hours. The DSi concentration in the extracted aliqote was measured using molybdate blue method (Strickland and Parsons, 1972) using Smartchem 200, AMS System descrete analyzer

    The Holocene silicon biogeochemistry of Yellowstone Lake, USA

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    The sedimentary data on two Yellowstone Lake sediment cores from 2016 - YL16-2C and YL16-5A, which include total organic carbon (TOC), total inorganic carbon (TIC), biogenic silica (BSi) concentrations, total nitrogen (TN) concentrations and carbon-nitrogen ratios (C/N) of the bulk sediment thought the Holocene. Furhter, stable silicon isotopes, and Ge/Si ratios of single endemitic diatom species Stephanodiscus yellowstonesis are included. Additionally, there are complete elemental composition data aquired using X-ray fluorescence (XRF) with an ITRAX and core logger data, including magnetic susceptibility measured ad LacCore Facility, Minneapolis, USA. Data on Yellowstone Lake water, Yellowstone Lake triburates and hydrothermal vents from two fields - West Thumb and Steavenson Island- include dissolved silicon, stable silicon isotopes and Ge/Si ratios sampled over period 2016-2018. All data were sampled to constrain the lake's silicon dynamics though out the Holocene and to identify sources of dissolved silicon in the lake. The sediment core analyzes of TOC, TN and C/N were measured on 5 to 10 mg of freeze-dried sediment using elemental analyzer COSTECH ECS4010 at Lund University, Sweden. The biogenic silica concentrations were determined using weak alkaline extraction by Conley and Schleske (2002, doi:10.1007/0-306-47668-1_14) using 30 mg of freeze-dried sediment reacting with 40 ml of 0.1M Na2CO3 for 5 hours. The DSi concentration in the extracted aliquot was measured using the molybdate-blue method (Strickland and Parsons, 1972) using Smarrtchem 200, AMS System discrete analyzer. Stable silicon isotopes were performed on leached cleaned diatoms (using NaOH) cation-exchange column cleaned (Georg et al., 2006; doi:10.1016/j.chemgeo.2006.06.006) samples using MC-ICP-MS at Vegacenter, Stockholm. Water samples for DSi and stable Si isotopes were sampled in HDPE acid-washed 125ml Nalgene bottles and filtered directly in the field through a 0.45μm Sterivex filter and further acidified using HCl to pH 2. DSi was analyzed by molybdate-blue method (Strickland and Parsons, 1972 (https://epic.awi.de/id/eprint/39262/1/Strickland-Parsons_1972.pdf)) using Smarrtchem 200, AMS System discrete analyzer. Stable silicon isotopes were performed on anion and cation-exchange column cleaned (Georg et al., 2006; doi:10.1016/j.chemgeo.2006.06.006, Gaspard et al. 2021; doi:10.1029/2021gc009904) samples using MC-ICP-MS at Vegacenter, Stockholm

    The Family History Of Daniel C. Hodges

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    The Family History of Daniel C. Hodges 21 April 2018 Daniel Clayton Hodges authored this family history as part of the course requirements for HIST 550/700 Your Family in History offered online in Spring 2018 and was submitted to the Pittsburg State University Digital Commons. Please contact the author directly with any questions or comments: [email protected] This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

    Depth-age models based on radiocarbon dating of sediment cores from Lake 850

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    ¹⁴C data and age-depth models are based on ¹⁴C data from two cores sampled from Lake 850 in 1999 and 2019. Radiometric dates were calibrated with IntCal20 radiocarbon calibration dataset (Reimer et al. 2020), see doi:10.1594/PANGAEA.933321. Age-depth models are calculated using R package Bacon (Blaauw et al, 2021)

    Ethnic identity, political identity and ethnic conflict: simulating the effect of congruence between the two identities on ethnic violence and conflict

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    This thesis outlines and presents an alternative hypothetical process to the emergence of ethnic conflict. Ethnic conflicts, rather than being dependent upon pre-existing 'ancient hatreds', are instead the result of a congruence between ethnic and political identity which grants individuals the ability to use ethnicity to identify and eliminate political threats. This hypothesis is formed by the examination of three case studies of ethnic conflict: Lebanon, Northern Ireland and Croatia. This hypothesis is then formalised and tested using an agent based simulation in which agent interactions are dependent upon ethnic and political identity and the congruence between the two. As predicted there was a strong positive correlation between how accurately ethnic identity reflected political identity and the level of ethnically motivated violence in the simulation, although the relationship was not linear. Furthermore the effect of a shift in congruence was found to be roughly comparable to the effect of initialising agents with a moderate level of pre-existing ethnic antagonism

    Biogenic silica, lithology and elemental composition of piston sediment core Lake850-Core2-2019 from Lake 850, Sweden

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    Dataset includes depth and ¹⁴C based age-depth model of core from Lake 850 taken in March 2019. Biogenic silica, density, total organic carbon (TOC), total nitrogen content (%N) and calcium carbonate content (CaCO₃) were measured by weak-alkaline extraction, by constraining volume and weight of wet and dry bulk sediment sample and by elemental analyzed COSTECH, respectively. Further, stable carbon isotopes (d¹³C) were measured by Elemental Analyzer connected to a MAT-252 mass spectrometer at Weizmann Institute of Science, Rehovot. Mass accumulation rate (MAR) is calculated from sediment density, age-depth model and biogenic silica flux is MAR multiplied by biogenic silica content. Further, the data contains elemental composition (Al, Si, P, S, Ar, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Ge, Se, Br, Rb, Sr, Y, Zr, Nb, Mo, Te, Ba, La, Ce, Nd, Sm, Eu, Tb, Er, Tm, Yb, Hf, Ir, Pt, Au, Pb, Rn och, Rh inc, MS) of the sediment core from 2019 originating from ITRAX CS37 XRF from GLOBE Institute, Copenhagen University

    Replication Data for: Interests, Information and Minority Influence in Deliberation

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    This data and code are to replicate the findings in "Interests, Information and Minority Influence in Deliberation." Please email the author at [email protected] or [email protected] with any questions

    Replication Data for: Interests, Information and Minority Influence in Deliberation

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    This data and code are to replicate the findings in "Interests, Information and Minority Influence in Deliberation." Please email the author at [email protected] or [email protected] with any questions

    Method of thermally glazing an article, U.S. Patent 6,127,005

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    Coating and filler materials for localized thermal processing of glazed ceramics and other brittle and low thermal conductivity materials. The coating materials include oxide compositions that exhibit coefficients of thermal expansion which are less than about 8×10-6 /° C. and glass transition temperatures which are less than about 400° C. The filler materials include particulate oxide materials which do not substantially react during localized thermal processing of glazed ceramics and other brittle and low thermal conductivity materials. The coating and filler materials are useable together as a composite material for repairing cavities having depths greater than about 2 mm
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