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  • Data  (8)
  • English  (8)
  • 2015-2019
  • 2010-2014  (8)
  • 2010  (8)
  • 1
    Publication Date: 2021-08-13
    Description: Abstract
    Description: Infrared-Spectrometry on Cutting Samples of the KTB Main Hole (Drill Section HB1), 7-5590 m.
    Keywords: German Continental Deep Drilling Program ; Land based ; CO2 ; H2O ; infrared spectrometry ; total carbon
    Language: English
    Type: Dataset , Dataset
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  • 2
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    Deutsches GeoForschungsZentrum GFZ
    Publication Date: 2021-08-13
    Description: Abstract
    Description: The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".
    Keywords: German Continental Deep Drilling Program ; Land based ; Accessories ; Al2SiO5 ; Amphiboles ; Biotites ; Carbonates ; Chlorite ; Clinopyroxene ; Date of Sampling ; Epidote ; Garnet ; Olivine ; Orthopyroxene ; Oxyde Ores ; Plagioclases ; Potassium Feldspars ; Quartz ; Serpentine ; Spinels ; Sulfidic Ores ; White Mica ; X-ray diffraction ; Zeolite
    Language: English
    Type: Dataset , Dataset
    Format: 60459 DataPoints
    Format: text/tab-separated-values
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  • 3
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    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Publication Date: 2022-01-12
    Description: Abstract
    Description: From 29th - 30th of October, 2009, the 'Data Management Workshop' was held at the University of Cologne, Germany. This workshop was actively supported by two research projects. The CRC/TR32 'Patterns in Soil-Vegetation-Atmosphere-Systems: Monitoring, Modelling, and Data Assimilation' as well as the CRC 806 'Our way to Europe: Culture-Environment Interaction and Human Mobility in the Later Quaternary', both Collaborative Research Centres of the German Research Foundation (DFG). In addition the workshop was co-organized by the Working Group 5 'Methods for Change Detection and Process Modelling' within the Commission VII 'Thematic Processing, Modelling and Analysis or Remotely Sensed Data' of the International Society for Photogrammetry and Remote Sensing (ISPRS). Since many different scientific communities are facing similar problems in data handling, the aim of the workshop was to bring together a variety of scientific disciplines, which are sometimes recognised as being quite incompatible with one other (e.g. computer sciences, social sciences, geography, physics, pre-history, geoinformatics, archaeology, geosciences, meteorology, and biology). Moreover, the goal was to take into account the perspective of the funding bodies, in our case the DFG. The workshop was based on 11 invited talks and unusual long coffee breaks, parallel to poster sessions to encourage and support discussion. The diverse program attracted nearly 30 poster presentations and approximately 80 participants. The papers and abstracts of the workshop are summarized in the workshop proceedings.
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. III-IV
    Keywords: Data Management
    Language: English
    Type: Text , Workshop paper
    Format: 142 Kilobytes
    Format: 2 Pages
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  • 4
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    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Publication Date: 2022-01-12
    Description: Abstract
    Description: The 2007 British Atmospheric Data Centre (BADC) Users Survey examined the skill base of the BADCs user community. Results indicated a large proportion of users who were familiar with data held in ASCII formats such as comma-separated variables (csv) and there was a high degree of familiarity with spreadsheet programmes (e.g. Excel) for data analysis purposes. These result, combined with the experiences of the BADC staff dealing with user enquiries and assisting data suppliers in preparing data for submission, and the metadata requirements of the BADC, highlighted the need for a new ASCII format to be generated. The BADC-CSV format adheres to metadata conventions covered by the NASAAmes and NetCDF formats, the CF, and Dublin Core metadata conventions, the ISO19115 standard and the metadata requirements of the BADC and its sister data centres within the Natural Environment Research Council (NERC). The format meets end user and data supplier requirements by being a native format for spreadsheet software as well as other commonly used data production and analysis tools (e.g. IDL, MatLab). This paper presents the requirements for the format resulting from the 2007 user survey and data centre requirements, describes the structure of the format and demonstrates the format through short examples. Finally, ongoing work to further develop the format is discussed.
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 107-111
    Keywords: Metadata ; Metadata standard ; ASCII ; Data Management
    Language: English
    Type: Text , Workshop paper
    Format: 1062 Kilobytes
    Format: 5 Pages
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  • 5
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    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Publication Date: 2022-01-14
    Description: Abstract
    Description: At the KlimaCampus (http://www.klimacampus.de), Cluster of Excellence at the University of Hamburg, an Integrated Climate Data Center (ICDC: http://www.icdc.zmaw.de) is established, suitable for data during the scientific project phase as well as storing long-term archive data. ICDC aims to make data out of different internal and external archives easily accessible for the daily work of the KlimaCampus scientists. It extends the existing services by the announcement of data during the scientific project phase, a data portal and collaboration services. Therein, ICDC utilizes the available infrastructure at the WDC Climate by using it for metadata storage and as a long-term archive. The concept of ICDC, its functionality, its implementation status, and future perspectives are presented.
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 127-135
    Keywords: Earth System Science ; Climate Research ; Data Portal ; Metadata ; Data Management
    Language: English
    Type: Text , Workshop paper
    Format: 1841 Kilobytes
    Format: 9 Pages
    Format: application/pdf
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  • 6
    Publication Date: 2022-01-14
    Description: Abstract
    Description: The multidisciplinary research unit 'Biodiversity and Sustainable Management of a Megadiverse Mountain Ecosystem in South Ecuador' established a central data management system to provide the members with all gathered scientific data. Additionally, to the database functionality of the system the web based layout is capable to present general information on the research unit to the public and support accounting and administration of the project. All parts of the system are implemented using open-source or free software. A major task is the allocation of a sophisticated and detailed metadata scheme. The standardized ecological metadata language (EML) is used as the basis for metadata information stored in a relational database. The describing datatypes are highly modular and can be expanded if necessary. Data input and searching is implemented through a dynamic webinterface with easy to use forms. This is important to increase the acceptance of the system by users. Searching the database is possible by strings for keywords, authors, etc. or by geographic locations. Except for gridded data, all single values of the datasets are stored in relational tables and thus, it is possible to extract only parts of a whole dataset during data download. While the system is already operational, modifications and new features are continuously implemented.
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 59-64
    Keywords: Metadata ; Ecological Research ; Data Management
    Language: English
    Type: Text , Workshop paper
    Format: 1005 Kilobytes
    Format: 6 Pages
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  • 7
    Publication Date: 2022-01-14
    Description: Abstract
    Description: WDC-RSAT is hosted and operated by the German Remote Sensing Data Center, DFD of the German Aerospace Center (DLR) under the nongovernmental auspices of the International Council for Science (ICSU) and is the most recent data center in the WMO-WDC family, in cooperation with the World Meteorological Organization (WMO). WDC-RSAT cooperates with partners in establishing and making use of modern information technologies (e.g. Grid) in order to promote networking. It is already being implemented as a data publication agent for data related to remote sensing of the atmosphere and is thus authorized to assign so-called Digital Object Identifiers (DOI) to data sets. The German ICSU WDCs (WDC-Climate, WDC-Mare, WDC-Terra, and WDC-RSAT) have formed in 2004 the 'WDC-Cluster on Earth System Research' in order to promote interdisciplinary research related to Earth sciences. Following the recommendations of the Committee of Earth Observation Satellites (CEOS), WDC-RSAT is currently establishing in cooperation with NASA a portal for satellite-based atmospheric composition data (ACC) which ultimately will be integrated in the Global Earth Observation System of Systems (GEOSS).
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 119-125
    Keywords: Data Management ; Metadata ; Remote Sensing ; Atmosphere
    Language: English
    Type: Text , Workshop paper
    Format: 495 Kilobytes
    Format: 7 Pages
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  • 8
    Publication Date: 2022-01-14
    Description: Abstract
    Description: AMMA program includes in situ measurements at many locations of West Africa and in the Gulf of Guinea, an intensive use of satellite data, diverse modelling studies, as well as human sciences field surveys and value-added products processing. Therefore, AMMA database aims at storing a great amount and a large variety of data, and at providing the data as rapidly and safely as possible to the AMMA research community. In order to stimulate the exchange of information and collaboration between researchers from different disciplines or using different tools, the database provides a detailed description of the products and uses standardized formats. AMMA database and the associated online tools have been fully developed and are managed by two teams in France (IPSL Data Centre, Palaiseau and OMP Data Centre, Toulouse). Datasets are stored in one or the other centre depending on their types, but all of them can be accessed through a single and friendly data request user interface. The complete system has been duplicated at AGHRYMET Regional Centre (CRA) in Niamey, Niger and is operational there since January 2009.
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 45-51
    Keywords: Multidisciplinarity ; Database ; Data Management
    Language: English
    Type: Text , Workshop paper
    Format: 1119 Kilobytes
    Format: 7 Pages
    Format: application/pdf
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