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  • 2020-2024  (7)
  • 1990-1994  (1)
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  • 1
    Electronic Resource
    Electronic Resource
    Coupling insertion reactions of diphenylbuta-1, 4-diyne into iron-carbene bonds of [Fe2(CO)7{μ-C(Ph)C(NEt2}]. Syntheses and reactivities of the ferracyclopentadiene [Fe2(CO)6{C(Ph)C(NEt2)C(Ph)C(C2Ph)}] with [Fe2(CO)9] (1994)
    Springer
    Journal of cluster science 5 (1994), S. 373-400 
    Details
    ISSN: 1572-8862
    Keywords: Iron ; ynamine ; aminoalkyne ; diyne ; carben ; C-C coupling ; insertion ; structure
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Notes: Abstract The diiron ynamine complex [Fe2(CO)7{μ-C(Ph)C(NEt2)}] (1) reacts with the diphenylbuta-1, 4-diyne, PhC≡C-C≡CPh, in refluxing hexane to yield three isomer complexes [Fe2(CO)6{C(Ph)C(NEt2)C(Ph)C(C2Ph}] (2a), [Fe2(CO)6{C(Ph)C(NEt2)C(C2Ph)C(Ph)}] (2b), and [Fe2(CO)6{NEt2)C(Ph)C(C2)C(Ph)}] (2c) All three compounds were identified by their1H NMR spectra. Compounds2a and2c were characterized by single crystal X-ray diffraction analyses. Crystal data: for2a: space group = P21/n,a = 17.873(1) Å,β = 18.388(6) Å,c = 9.429(3) Å β = 91.99(3)°,Z = 4.3751 reflections,R = 0.044; for2c: space group = P21/n,a = 40.58(2) å,b = 12.101(9) Å,c = 12.551(5) Å,β = 94.29(7)°,Z = 8.4723 reflection,R = 0.076. Complexes2a and2b result from a [2 + 2] cycloaddition between one of the C≡C triple bonds of the diyne ligand and the Fe≡C carbene bond, whereas2c results from insertion of one of the C≡C group into the bridging carbene. Addition of [Fe2(CO)9] on2a gave two major products, the tripledecker [Fe3(CO)8{C(Ph)C(NEt2)C(C2Ph)}], (3 and a tetrairon cluster [Fe4(CO)11{C(Ph)C(NEt2)C(Ph)C(C2Ph)}] (4). Both compounds were characterized by single crystal diffraction analyses. Crystal data: for3: space group = P21/n,a = 12.039(3) Å,b = 18.046(3) å,c = 15.270(2) Å,β = 90.11(2)°,Z = 4, 1430 reflections,R = 0.067; for4 space group = C2/c,a = 18.633(3) Å,b = 21.467(1)_Å,c = 20.742(2) Å,β = 115.03(8)°,Z = 8.992 reflections, R = 0.076. Complex4 is based on a “spiked” triangular cluster with the alkynyl triple bond attached inμ 3-parallel mode on the triangular grouping.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01379056
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    Paper (German National Licenses)
    Fulltext
  • 2
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    Central and Eastern Siberian High Latitude Lake Hydrochemistry (2023)
    In:  Abstracts
    Details
    Publication Date: 2023-05-09
    Description: We present a long-year data collection of freshwater chemistry from 590 high latitude lakes based on water sampling during our past expeditions in the Central and Eastern Siberian continuous permafrost regions. We compiled and standardised all acquired seasonal limnological data on major ions, alkalinity, pH and Electrical Conductivity including time series of data from lakes that we sampled repeatedly. The data collection encompasses diverse Siberian regions with numerous lakes along climate and vegetation gradients in the Khatanga and central Yakutian lowlands, to the glacial lakes of the Chukotka mountain region in Eastern Siberia and the central Lena Delta in the Arctic zone. The data collection is rich in standardised metadata following the metadata schema of the International Generic Sample Number (IGSN), which provides a unique and persistent identifier for physical objects (samples). Within the project FAIR Workflows to establish IGSN for Samples in the Helmholtz Association (FAIR WISH), funded by the Helmholtz Metadata Collaboration Platform (HMC), we customised the GFZ-specific IGSN schema to better describe lakes and water samples in a hierarchical (parent and child) scheme with standardised metadata on lake and sample characteristics, ecoregions, principal investigators and many more. This standardised data collection will be made available in the PANGAEA data repository (www.pangaea.de) to enable analyses of land-to-lake geochemical fluxes and will support biodiversity, biogeochemical, bioindicator and many more analyses. In this presentation, we visualize the data in form of Piper and Schoeller plots in order to categorize the water bodies and investigate their geographic distribution and links to catchment vegetation, active layer depth, permafrost disturbances and lithology.
    Type: info:eu-repo/semantics/conferenceObject
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  • 3
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    FAIR WISH project – developing metadata templates for IGSN Registration for various sample types (2023)
    In:  Abstracts
    Details
    Publication Date: 2023-05-09
    Description: The International Generic Sample Number (IGSN) is a unique and persistent identifier for physical objects that was originally developed in the Geosciences. In 2022, after 10 years of service operation and more than 10 million registered samples worldwide, IGSN e.V. and DataCite have agreed on a strategic partnership. As a result, all IGSNs are now registered as DataCite DOIs and the IGSN metadata schema will be mapped to the DataCite Metadata Schema according to agreed guidelines. This will, on the one hand, enrich the very limited mandatory information shared by IGSN allocating agents so far. On the other hand, the DataCite metadata schema is not designed for the comprehensive description of physical objects and their provenance. The IGSN Metadata Schema is modular: the mandatory Registration Schema only included information on the IGSN identifier, the minting agent and a date - complemented by the IGSN Description Schema (for data discovery) and additional extensions by the allocating agents to customise the sample description according to their sample’s subdomain. Within the project “FAIR Workflows to establish IGSN for Samples in the Helmholtz Association (FAIR WISH)”, funded by the Helmholtz Metadata Collaboration Platform (HMC), we (1) customised the GFZ-specific schema to describe water, soil and vegetation samples and (2) support the metadata collection by the individual researcher with a user-friendly, easy-to-use batch registration template in MS Excel. The information collected with the template can directly be converted to XML files (or JSON in the future) following the IGSN Metadata schema that is required to generate IGSN landing pages. The template is also the source for the generation of DataCite metadata. The integration of linked data vocabularies (RDF, SKOS) in the metadata is an essential step in harmonising information across different research groups and institutions and important for the implementation of the FAIR Principles (Findable, Accessible, Interoperable, Reusable) for sample descriptions. More information on these controlled vocabularies can be found in the FAIR WISH D1 List of identified linked open data vocabularies to be included in IGSN metadata (https://doi.org/10.5281/zenodo.6787200). The template to register IGSNs for samples should ideally fit to various sample types. In a first step, we created templates for samples from surface water and vegetation from AWI polar expeditions on land (AWI Use Case) and incorporated the two other FAIR WISH use cases with core material from the Ketzin coring site (Ketzin Use Case) and for a wide range of marine biogeochemical samples (Hereon Use Case). The template comprises few mandatory and many optional variables to describe a sample, the sampling activity, location and so on. Users can easily create their Excel-template, including only the variables needed to describe a sample. A tutorial on how to use the FAIR WISH: Sample description template (https://doi.org/10.5281/zenodo.7520016) can be found in the FAIR WISH D3 Video Tutorial for the FAIR SAMPLES Template (https://doi.org/10.5281/zenodo.7381390). As our registration template is still a work in progress, we are furthermore happy for user feedback (https://doi.org/10.5281/zenodo.7377904). Here we will present the template and discuss its applicability for sample registration.
    Type: info:eu-repo/semantics/conferenceObject
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  • 4
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    Standardized element data of sediment core EN18208 from Lake Sysy-Kyuele (Yakutia, Russia) (2023)
    PANGAEA
    Details
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized X-ray fluorescence line scanning (XRF)-based element data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). The downcore elemental composition was measured using an AVAATECH x-ray fluorescence core scanner at Bundesanstalt für Geowissenschaften und Rohstoffe (BGR) in Berlin, Spandau.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 5
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    Standardized radiocarbon data of sediment core EN18208 from Lake Ilirney (Chukotka, Russia) (2023)
    PANGAEA
    Details
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized radiocarbon and OSL age data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Radiocarbon data have been analysed from bulk sediment samples in Bremerhaven at the MICADAS laboratory. Optically stimulated luminescence (OSL) dating was performed at the Royal Holloway Luminescence Laboratory using a Risø TL/OSL-DA-15 automated dating system.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 6
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    Standardized grain size data of sediment core EN18208 from Lake Sysy-Kyuele (Yakutia, Russia) (2023)
    PANGAEA
    Details
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized grain size element data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Grain-size was measured using a Malvern Mastersizer 3000 laser diffraction particle analyser.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 7
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    Standardized mineral data of sediment core EN18208 from Lake Ilirney (Chukotka, Russia) (2023)
    PANGAEA
    Details
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized mineral data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Bulk mineralogy was analysed by (x-ray diffractometry (XRD) using a (PHILIPS, Netherlands) PW1820 goniometer.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 8
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    Unknown
    Standardized organic geochemistry data of sediment core EN18208 from Lake Ilirney (Chukotka, Russia) (2023)
    PANGAEA
    Details
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized radiocarbon and OSL age data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Water content and organic matter was analysed at AWI Potsdam. Dried and milled samples were analysed using a Vario EL III carbon-nitrogen-sulphur analyser. Organic carbon content was determined using a Vario MAX C analyser.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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