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  • 1
    Publication Date: 2024-04-24
    Description: Abstract
    Description: Since the early 1990s, the GFZ has operated a global GNSS station network with currently about 70 stations for precise satellite clock & orbit determination, realization of the terrestrial reference frame, radio occultation measurements or studies on crust dynamics. A subset of these stations contributes also to the tracking networks of the International GNSS Service (IGS) and the EUREF Permanent GNSS Network (EPN). Other stations contribute to GFZ observatories (IPOC, DESERVE, TERENO), to the GPS Atmosphere Sounding Project (GASP), to WMO Global Climate Observing System Reference Upper-Air Network (GRUAN) or to other external cooperations. We offer data of 51 GFZ GNSS stations under this DOI. Nearly all stations are equipped with Javad or Septentrio hardware. Depending on the location and hardware they provide data of GPS (L1 / L2 / L5), GLONASS (L1 / L2 / L3), Galileo (E1 / E5a / E5b / E6), BeiDou (B1 / B2 / B3), QZSS (L1 / L2 / L5 / L6), NAVIC (L5), and SBAS (L1 / L5). The GNSS Station Nework Site (https://isdc.gfz-potsdam.de/gnss-station-network/) provides direct access to the 1s and 30s sampled RINEX data (near real-time, file based) and to real-time streams. Real-time streams are available for stations contributing to the IGS. Raw data GNSS binary raw observations are available upon request. All GFZ Stations follow the site guidelines of the International GNSS Service (https://kb.igs.org/hc/en-us/articles/202011433-Current-IGS-Site-Guidelines) Station specific metadata can be found at our metadata portal SEMISYS. An overview of the list of stations with direct links to the station specific metadata in semisys is available via ftp://datapub.gfz-potsdam.de/download/10.5880.GFZ.1.1.2020.001/2020-001_Ramatschi-et-al_List-of-GFZ-GNSS-Stations-with-links-to-SEMISYS.pdf.
    Description: Methods
    Description: Our GNSS stations are equipped with antenna, receiver, data logger (PC), and communication. For nearly all stations binary GNSS receiver messages are streamed in real time via local internet / GSM / VSAT to the GFZ data center and collected there in 15 minute data files, as it is done on site. After comparing the data files collected at GFZ with the raw messages stored locally, non identical or missing files are send from the site using scp. Data files are then converted to the RINEX (http://acc.igs.org/misc/rinex304.pdf) format using vendor-provided software. Real-time streams are provided by converting the binary message stream into RTCM format using the Alberding EuroNET software. Stations without real-time capabilities transfer binary files only. If no internet connection is available data will be stored locally and transmitted as soon as the connection is re-established.
    Type: Dataset , Dataset
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-04-24
    Description: Abstract
    Description: This dataset contains simulated vegetation and fire variables using the LPJmLv5.6-SPITFIRE and LPJmLv5.6-SPITFIRE-BASE coupled vegetation-fire model. LPJmL is a Dynamic Global Vegetation Model (DGVM), which simulates impacts of climate change and vegetation including carbon, water and energy fluxes on land. SPITFIRE is a process-based fire model that is developed at the Potsdam Institute for Climate Impact Research (PIK) simulating ignitions, fire spread, fuel combustion and plant mortality. BASE is an empirical burned area model, developed at Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), that is based on remotely sensed information using generalised linear model (GLM) techniques provided by data sources from within the HORIZON2020 project FirEUrisk and elsewhere. The dataset contains a set of future changes in vegetation and fire variables under future climate and land-use change at the European (ET) scale at 9 km covering 2000-2100 for both couple vegetation-fire models. The models were forced with 5 climate models from the SSP126 and SSP370 climate scenarios (its downscaling to ~9 km grid cell resolution) as well as the land-use projections corresponding to those climate scenarios (provided at ~9 km grid cell resolution). The variables provided in this dataset are at monthly and annual temporal resolution. The simulated changes in fire and vegetation spatio-temporal patterns are the result of changes in climate and land-use and subsequent fire-vegetation feedbacks. This data has been developed in the course of the HORIZON2020 project FirEUrisk (Deliverable 3.4; Grant Agreement no. 101003890).
    Keywords: vegetation-fire model ; burnt area ; vegetation cover ; fire regime ; EARTH SCIENCE 〉 BIOSPHERE 〉 TERRESTRIAL ECOSYSTEMS 〉 FORESTS ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 BIOMASS ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 CARBON ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 VEGETATION COVER ; EARTH SCIENCE SERVICES 〉 ENVIRONMENTAL ADVISORIES 〉 FIRE ADVISORIES 〉 WILDFIRES ; EARTH SCIENCE SERVICES 〉 MODELS 〉 DYNAMIC VEGETATION/ECOSYSTEM MODELS
    Type: Dataset , Dataset
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2024-04-24
    Description: Abstract
    Description: Understanding the factors leading to large earthquakes in the coupling zone of convergent margins and their interrelation with surface deformation were the main aims of the international and interdisciplinary research initiative TIPTEQ (“From The Incoming Plate To megaThrust EarthQuake Processes”). Between Nov. 2004 and Oct. 2005 we deployed 2 temporary, amphibious seismic arrays in South-Central Chile. In this region the 1960 Mw = 9.5 earthquake nucleated. The northern network between 37° and 39°S was formed by up to 120 digitally recording land stations (equipped with short-period sensors) and 10 Ocean Bottom Seismometers/Hydrophones (OBS/OBH). Waveform data are available from the GEOFON data centre, under network code ZW, and are available under CC-BY 4.0 license according to GIPP-rules.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS
    Type: Dataset , Seismic Network
    Format: ~500G
    Format: .mseed
    Format: XML
    Location Call Number Expected Availability
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  • 4
    Publication Date: 2024-04-24
    Description: Abstract
    Description: This data set includes the results of high-resolution digital elevation models (DEM) and digital image correlation (DIC) analysis applied to analogue modelling experiments. Twenty generic analogue models are extended on top of a rubber sheet. Two benchmark experiments are also reported. Detailed descriptions of the experiments can be found in Liu et al. (submitted) to which this data set is supplement. The data presented here are visualized as topography and the horizontal cumulative surface strain (principal strain and slip rake).
    Keywords: EPOS ; multi-scale laboratories ; analogue models of geologic processes ; analogue modelling results ; depression ; Digital Image Correlation (DIC) / Particle Image Velocimetry (PIV) ; Digital Image Correlation (DIC) / Particle Image Velocimetry (PIV) 〉 StrainMaster (La Vision GmbH) ; Extension box ; fault ; graben ; graben ; High frame rate camera ; horst ; normal fault ; Poisson ratio ; rift valley ; rifting ; Sand 〉 Quartz Sand ; Sandbox ; Silicon/Silly putty/PDMS ; SLR camera ; Structure from Motion (SfM) ; Structure from Motion (SfM) 〉 Photoscan (Agisoft) ; tectonic and structural features ; tectonic process ; tectonic process 〉 continental_breakup ; tectonic process 〉 continental_breakup 〉 rifting ; tectonic setting 〉 extended terrane setting ; tectonic setting 〉 extended terrane setting 〉 continental rift setting ; tectonic setting 〉 intraplate tectonic setting ; wrench fault
    Type: Dataset , Dataset
    Location Call Number Expected Availability
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  • 5
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    GEOMAR Helmholtz Centre for Ocean Research
    Publication Date: 2024-04-24
    Description: Vessel-mounted Acoustic Doppler Current Profilers (ADCPs) provide velocity profiles of the upper ocean along the ship track. They are a key tool in oceanographic research to study the oceanic circulation and the associated distribution of mass, heat, contaminants and other tracers. In order to obtain high-quality ocean current data from vessel-mounted ADCP measurements, a number of requirements must be met, from system installation and data acquisition measures to certain essential processing steps. Here, we present an open-source Python toolbox called OSADCP for scientists to convert, clean, calibrate and organize binary raw vessel-mounted ADCP data for scientific use. The toolbox is designed to process ADCP measurements in deep water by Teledyne RDI Ocean Surveyor ADCPs and the data acquisition software VMDAS.
    Type: Software , NonPeerReviewed
    Location Call Number Expected Availability
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