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  • 1
    Publication Date: 2022-01-17
    Description: Abstract
    Description: Analysis of prehistoric lithic artefacts helps to answer a wide array of questions concerning archaeological contexts and prehistoric human behaviour. Typological studies allow for a chronological and partly also cultural attribution of the sites, while the analysis of raw materials used is fundamental for the reconstruction of mobility patterns, communication networks and land use of Stone Age communities. Within the framework of two projects funded by the German Research Foundation, and a regional initiative of Werner Schön, it was possible to determine the origin of the raw materials of 32 inventories from the Late Glacial and Early Holocene in northwest and southern Germany. The petrographic analysis was conducted by the geologist and petro-archaeologist Jehanne Affolter. In addition, data of more than 60 Stone Age assemblages from Switzerland as well as western and southern Germany were recorded, that had already been published elsewhere. The origin of the flint raw materials from most of these inventories was determined using the micro-facial method. Some inventories, where the raw material sources were determined exclusively macroscopically, are also tentatively mapped to complement the chronological sequence. GIS-based maps of the raw material sources from the aforementioned regions are compiled and raw material catchment areas of the Stone Age sites are mapped. The area calculations of the raw material catchments revealed a diachronic alternation of larger and smaller areas, which above all suggest culturally determined cycles in the range of mobility and communication networks.
    Keywords: Late and Final Palaeolithic ; Mesolithic ; Switzerland ; central europe ; lithic raw material catchments ; lithic raw material sources ; neolithic ; south-eastern France ; south-western Germany ; western germany
    Type: Dataset , dataset
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The ScanArray experiment is a major collaborative effort of institutions in Scandinavia and Germany to map crustal and mantle structure below Scandinavia using a dense temporary deployment of broadband seismometers. Scientific questions to be addressed include (among others): 1. What supports the topographic high of the Scandes? 2. How does lithospheric thickness vary within Fennoscandia? 3. What is the internal fabric of the mantle lithosphere? 4. Are there differences in the crustal structure between the different blocks of Fennoscandia? This data set, termed ScanArray core, comprises the temporary stations deployed by the University of Copenhagen, the University of Aarhus, and the University of Oslo, the Karlsruhe Institute of Technology (KIT) and the GeoForschungsZentrum Potsdam (GFZ) as part of the ScanArray experiment. Stations within this dataset are deployed for periods between 2 and 4 years. Data are available from the GFZ seismological data archive with network code 1G. Waveform data will be fully opened in early 2020. The wider ScanArray dataset additionally includes the multi-use temporary deployments Neonor2 (FDSN-code 2D, University of Bergen, NORSAR) and ScanLips3D (University of Leicester; archived at IRIS DMC), and the permanent networks of Sweden (UP, SNSN), Norway (NS, NNSN), Denmark (DK, DNSN) and Finland (HE, FNSN) as well as a subset of NORSAR stations (NO). The SNSN rearranged the distribution of broadband seismometers and deployed additional temporary stations to meet the objectives of the ScanArray experiment. ScanArray core and these other networks (except ScanLips3D) jointly form the virtual network _SCANARRAY. Partners of the ScanArray consortium are: University of Aarhus, Uppsala University, University of Oslo, University of Bergen, Karlsruhe Institute of Technology, NORSAR, University of Copenhagen, Deutsches GeoForschungsZentrum (GFZ) and Istanbul Technical University.
    Keywords: Broadband seismic waveforms ; Lithosphere ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: Greater than 450 GB
    Format: Approximately 200GB per year for 2014/2015
    Format: 44 stations in 2014
    Format: .mseed
    Format: XML
    Location Call Number Expected Availability
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