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# 1
Curdt, Constanze
Abstract: The TR32DB Metadata Schema is a structured list of metadata properties chosen to describe all data in the TR32DB with accurate metadata properties and thus to improve their searchability. The entire data provided to the TR32DB can be described with a number of descriptive metadata properties (e.g. creator, title, abstract, keywords, etc.) and administrative or technical properties (e.g. file format, file type, rights statement, etc.). The stored data are organized in six main data type categories: Data, Geodata, Report, Picture, Presentation, and Publication. The TR32DB Metadata Schema is set up in two levels to describe the various types of data collected by the CRC/TR32 participants. The first level is the General level. This level includes metadata properties classified in seven categories: Identification, Responsible Party, Topic, File Details, Constraints, Geographic, and automatic generated Metadata Details. The second level is the Specific level and contains the data type specific metadata properties. Currently, six data types are included: Data, Geodata, Report, Picture, Presentation, and Publication. Publication takes a special position and is once again sub-divided into the sub-categories: Article, Book, Book Section, and Event Paper.
# 2
Shrestha, Prabhakar • Sulis, Mauro
Abstract: Training Manual to use Terrestrial Systems Modeling Platform (TerrSysMP) as a numerical tool to develop a quantitative understanding of the complex soil-vegetation-atmosphere (SVA) interaction. The idealized setups in this manual, focus on the impact of root-zone soil moisture fluctuation on the diurnal energy partitioning and its feedback to the atmospheric boundary layer (ABL) dynamics. The interplay between subsurface hydrodynamics (e.g., (ψ-θ_vol ) relationship) and plant physiological properties (e.g., roughness, stomata conductance, root depth) is addressed using different plant functional types (PFTs) and soil textures (i.e., percentage of clay and sand).
# 3
Huber, Katrin • Vanderborght, Jan • Javaux, Mathieu • Schnepf, Andrea • Schröder, Natalie • (et. al.)
Abstract: R-SWMS is a numerical model for simulating solute transport and water flow in and between the soil and the plant systems. The acronym stands for Modeling “Root-Soil Water Movement and Solute transport”. Based on the flow and transport equations in the 3D soil matrix and within the 3D root xylem network, it simulates the uptake of solute and water by plant roots for a growing plant. Three-dimensional root growth is function of environmental conditions (soil strength, temperature) and plant parameters (gravitropism, sensitivity to strength, etc.). The code has been used in several projects and labs around the world. An updated list of publications dealing with R-SWMS can be found at https://www.zotero.org/groups/r-swms. The handbook includes theory, numerics, input files, output files, installation, and some example calculations.
# 4
Mirijam Zickel
Abstract: Im Verlauf dieser Arbeit werden auf eine geographische und archäologische Einordnung folgend, die zur Analyse angewandten Methoden und die daraus resultierenden Erkenntnisse dargestellt und diskutiert. Um die Ergebnisse, die unter anderem paläoklimatische Aspekte bereithalten chronologisch einzuordnen und einen Kontext mit der Paläoumwelt herzustellen werden die heutigen Klimabedingungen und mögliche Ausprägungen der Paläoumwelt des Untersuchungsgebietes vorgestellt (Kapitel 4) und mit verschiedenen Paläoumweltarchiven des südosteuropäischen Raumes verglichen. Dies bezieht sich besonders auf den Zeitraum um 18 ka BP, was der Datierung der Fundschicht 3A entspricht (vgl. Kapitel 3.2) und das LGM. Die Ergebnisse der mikromorphologischen Analyse sollen die generellen Charakteristika des Westprofiles des Grabungsschnittes V (vgl. Kapitel 3.2) in der Blazi Cave herausstellen. Dies beinhaltet die Sedimentzusammensetzung, Dichte, Lagerung sowie die Verteilung der Komponenten und des enthaltenen archäologischen Materials, in den aus den Proben präparierten Dünnschliffen (vgl. Kapitel 7). Dies impliziert auch die Darstellung der Verhältnisse und Grenzen der Schichten, insbesondere der Schichten 2 und 3. Zudem soll die Trennung mehrerer potenzieller Besiedlungsphasen der Schichten 3A und 3B erfolgen. Ein besonderes Augenmerk gilt im Zuge der regionalen Forschungsgeschichte (vgl. Kapitel 1.1) der Detektion von Diskordanzen, Erosionsereignisse, die sich unter anderem in anthropogen oder biogen verlagerten Schichten zeigen können, für die allerdings auch fluviale oder kryoturbate Prozesse (vgl. Kapitel 5.3.4) in Betracht gezogen werden.
# 5
Karin Kindermann • Philip van Peer • Felix Henselowsky • Olaf Bubenzer
Abstract: By analysing satellite images of the area around Sodmein Cave numerous well-preserved surface remnants (terraces) could be documented. Surveys on these old terraces, showing mainly a dark desert pavement, yielded preferentially Pleistocene artefact concentrations. Hence, it became clear that these terraces represent parts of the former Pleistocene surface of the area. During surveying activities on such terraces a new archaeological site – preliminary named as “Sodmein Playa” 14/01 – was discovered around 3 km south-west of Sodmein Cave. On the surface a concentration of Middle Stone Age (MSA) artefacts, which seem to weather out of the sediments was observed. It was immediately clear that it did not occur in association with the gravel terraces but indicate a different geomorphological context. The artefacts did not exhibit the typical desert varnish of the terrace surfaces and they occurred at the surface of a sandy plain, seemingly lacustrine sediments (playa).
# 6
Daniel Kürner
Abstract: Die vorliegende Arbeit beschreibt die Implementation des Metadatenmanagements für Geodaten aus den Projekten des SFB806. Es soll ein internetbasiertes Informationssystem geschaffen werden, das den Mitgliedern des Pro jektes ermöglicht, Daten an einer zentralen Stelle zu veröffentlichen und somit der projektinternen Forschungsgemeinschaft zugänglich zu machen. Das Informationssystem soll eine sichere und nachhaltige Archivierung der Forschungsergebnisse aus den Projekten des SFB806 gewährleisten und gleichermaßen als integrierte Datenbasis die Forschungsarb eit der Pro jektmitglieder des SFB806 unterstützen.
# 7
Sabrina Dittrich
Abstract: The materials to the teaching unit „‚Migration in the past and today – Where are the differences in the migrations?’ with the focus on handling the question ‚Why did modern humans came to Europe?’” are developed in the frame of the dissertation „Argumentation as a method to solve problems: A class study to the oral argumentation of pupils in cooperative settings in geography lessons” (Sabrina Dittrich). This dissertation was written in the Collaborative Research Center 806 – ‚Our Way to Europe’. The teaching unit can be classified into the 10th grade of grammar schools and into the 11th grade of comprehensive schools accordingly (German school system). For further questions: sabrina-dittrich(at)gmx.de Zusammenfassung: Die Unterrichtsmaterialien zur Unterrichtseinheit „‚Migration früher und heute – Wo liegen die Unterschiede in den Migrationen‘ mit dem Fokus auf der Bearbeitung der Frage ‚Warum kam der moderne Mensch nach Europa?‘“ sind im Rahmen der Dissertation „Argumentieren als Methode zur Problemlösung: Eine Unterrichtsstudie zur mündlichen Argumentation von Schülerinnen und Schülern in kooperativen Settings im Geographieunterricht“ (Sabrina Dittrich) entwickelt worden. Diese Dissertation ist im Sonderforschungsbereich 806 ‚Our Way to Europe‘ verfasst worden. Die Unterrichtseinheit ist in die Jahrgansstufe 10 an Gymnasien bzw. 11 an Gesamtschulen einzuordnen. Für Rückfragen: sabrina-dittrich(at)gmx.de
# 8
Finn Viehberg • Janna Just • Jonathan Dean • Bernd Wagner • Sven Oliver Franz • (et. al.)
Abstract: Chew Bahir
# 9
Daniel Becker • Christian Willmes
Abstract: This is a plugin for QGIS to interface the openModeller software package. OpenModeller is a software framework for species’ potential distribution modelling. The package includes (among other program files) the om_console.exe executable which is used for the modelling process. The program file is controlled by a configuration file and needs several files as input data. The configuration file contains the paths to the input data, configuration parameters for the output data and the selected modelling algorithm (GARP, Bioclim, Maxent, etc.). Further input data is the occurrence file which contains the occurrence data for a species with a label and geographic coordinates in longitude/latitude notation. The last part is the environmental data that contains environmental variables such as climate or topographic data. The plugin enables the user to select point and raster layers and a modelling algorithm in QGIS which are then converted (in case of the occurrence data) and copied to a new folder structure and written into the configuration file accordingly, depending on the selection and assignment. Subsequently, the generated files and project folder can be directly used by the om_console executable.
# 10
Andreas Maier • Andreas Zimmermann
Abstract: CRC 806 “Our Way to Europe” – Project E1 Population Dynamics: Demographic Changes of Hunter-Gatherer Populations during the Upper Pleistocene and Early Holocene in Europe Principal Investigator: Prof. Dr Andreas Zimmermann PostDoc: Dr Isabell Schmidt THE CURRENT DATABASE VERSIONS ARE FOR INTERNAL USE BY MEMBERS OF THE CRC 806 ONLY, IN AGREEMENT WITH THE RESPECTIVE AUTHORS (see below) General information: Databases used (revised and extended) within this work were courtesy provided by: Jean-Pierre Bocquet Appel INQUA – Radiocarbon Palaeolithic Europe Database (Pierre Vermeersch) Legend: #ID: Identification number given within the current database system #Site: most common spelling, starting with main name – comma – article [optional: comma – different spellings, different names of the site] #Layer/Concentration #Longitude: Decimal Degrees, World Geodetic System 1984 #Latitude: Decimal Degrees, World Geodetic System 1984 #Quality: 1 = secure attribution (assemblage size, radiometric data, stratigraphy, diagnostic tools); 2 = possible attribution (small assemblage, no radiometric data, insecure context, few/no diagnostic tools) #Temp_Group: Assemblage attributed to 1 = Temporal Group 1 (33.000 – 29.000 calBP); 2 = Temporal Group 2 (29.000 – 25.000 calBP); 3 = no temporal attribution possible #Attribution: Temporal Attribution by: R = Radiometric Dating; T = Typology MAG=Magdalenian; LGM=Last Glacial Maximum; GRA=Gravettian; EUP=Early Upper Paleolithic (Aurignacian) Authors to contact: MAG: Dr Inga Kretschmer (Inga.Kretschmer_at_rps.bwl.de) LGM and GRA: Dr Andreas Maier (and.maier_at_fau.de) EUP: Dr Isabell Schmidt (isabell.schmidt_at_uni-koeln.de)
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