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  • 1
    Publication Date: 2022-05-13
    Description: Abstract
    Description: A seismic network was installed in the Helsinki capital area of Finland to monitor the response to a 6 km deep geothermal stimulation experiment in 2018. The Institute of Seismology, University of Helsinki (ISUH), installed these 100 geophones in addition to five surface broadband sensors and a 13-site borehole network deployed by the operating company. The stations operated for 106 days between 7 May and 20 August 2018 (day 127 to 232). The data set consists of raw CUBE-recorder data and converted MSEED data.
    Keywords: enhanced geothermal system ; induced seismicity ; array of arrays ; monitoring ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; geology ; EARTH SCIENCE 〉 SOLID EARTH ; 201802 ; Otaniemi Reservoir stimulation (ORS)
    Language: English
    Type: Dataset , temporary seismological network
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  • 2
    Publication Date: 2023-03-03
    Description: Abstract
    Description: HUST-Grace2016 is a new time series of monthly gravity field models up to degree and order 60. The new HUST-Grace2016s is a new GRACE-only static gravity field model up to degree and order 160. Using about 13 years of GRACE Level 1B data spanning from January 2003 to April 2015. This new model has been developed by the institute of geophysics in the Huazhong University of Science and Technology (HUST). No constraint was applied. More details about our HUST-Grace2016s will be given in our paper “HUST-Grace2016s: a new GRACE static gravity field model derived from a modified dynamic approach over a 13-year observation period” (submitted to JGR Solid Earth in November 2016).This work is supported by the National Natural Science Foundation of China (No. 41131067, 41374023, 41474019), the Project funded by China Postdoctoral Science Foundation (No. 2016M592337).
    Description: Other
    Description: Input Data:- GRACE RL02 L1B (JPL) data products: January 2003 – March 2016- ITSG kinematic orbits: January 2003 – April 2015- AOD1B RL05 (GFZ) idealizing productCalculation method:- modified dynamic approach- numerical integrator: 14th-order Gauss-Jackson integrator- arc length: 24 hours- arc step: 5 secondsForce models:- Earth’s static gravity field: GGM05s up to degree and order 180- Ocean tides: EOT11a, truncated up to degree and order 120- N-body Perturbation: Direct and indirect J2 effects with JPL DE421- Solid earth tides: frequency independent/dependent terms, permanent tide- Solid earth tides: frequency independent/dependent terms, permanent tide- Pole tides: solid earth pole tides from IERS 2010, and ocean pole tides from Desai- Atmosphere and Oceanic variability: The AOD1B RL05 model up to degree 100- General Relativistic effects: IERS 2010
    Keywords: monthly gravity field model ; ICGEM ; geodesy
    Language: English
    Type: Dataset , Dataset
    Format: 1 Files
    Format: application/octet-stream
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  • 3
    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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  • 4
    Publication Date: 2023-06-12
    Description: Abstract
    Description: This data set is the third of a series reporting chemical data for accessory minerals from felsic igneous rocks. It compiles the results of electron-microprobe spot analyses of monazite-(Ce) from various Paleoproterozoic granitoids and spatially associated gneisses located in the wider Fort McMurray area in northeastern Alberta, Canada. The data were generated in connection with the Master of Science thesis of Nathanial John Walsh (Walsh 2013) at the Department of Earth and Atmospheric Sciences of the University of Alberta, Edmonton, Canada, but remained unpublished. The thesis was part of the Helmholtz - Alberta - Initiative (HAI) between the University of Alberta and the Helmholtz Association.Interestingly, monazite from the diverse basement rocks display various kinds of pattern with respect to composition and origin. The great bulk of measured grains display variably declined chondrite-normalized LREE patterns virtually free of anomalies indicative for significant fluid-induced overprinting. We have rocks characterized by largely unzoned, chemically homogeneous grains. There are as well rocks containing nicely patchy-zoned grains showing a wide range in composition, in particular regarding the Th/LREE proportions. Here, maximum measured Th concentration amounted to 33 wt% ThO2. Incorporation of Th into the crystal structure is almost exclusively governed by the huttonite substitution reaction, i.e., Th^4+ + Si^4+ = REE^3+ + P^5+, as characteristic for this chemical type of granites (Förster 1998). The suite of rocks also included samples containing small-sized inclusions of Th-poor monazite in apatite, which formed in response to metamorphic, fluid-aided dissolution-reprecipitation processes (Harlov and Förster 2003, Harlov et al. 2005). Finally, we have a quartz monzonite containing Th-poor monazite in apatite together with matrix monazite of normal Th concentration, the origin if which is not yet fully resolved (cf. Foerster-2018-004_monazite-alberta-BSE images.pdf. presenting back-scattered electron images of monazite grains). In brief, the data set provides information on several aspects of formation and alteration of monazite in non-metamorphic and metamorphic granite.The data set published here contains the complete pile of data acquired for monazite-(Ce) and back-scattered electron (BSE) images of many of the probed grains. Chemical data are provided as Excel and machine-readable .csv files, which contain the information listed in Table 1 of the data description file. Column headers in red (only in the Excel version) indicate that the data and information provided in these columns is from Walsh (2013). “0.00” means that the concentrations of the respective elements were measured, but were below their limits of detection. Blank boxes in oxide concentrations columns indicate that the respective elements were not sought. The collection of BSE images is presented as pdf.file. The sample and grain numbers are given below each mineral image and are corresponding to the Sample No. and the Grain No. in the data table.The thesis of N. Walsh "Walsh, N.J. (2013) Geochemistry and geochronology of the Precambrian basement domains in the vicinity of Fort MacMurray, Alberta: a geothermal perspective. Master of Science thesis, Department of Earth and Atmospheric Sciences, University of Alberta, Canada" is not available online.
    Keywords: monazite ; mineral composition ; granitoids ; electron-microprobe analysis ; rare earth elements ; gneisses ; thorium ; uranium ; compound material 〉 rock 〉 composite genesis rock 〉 metamorphic rock 〉 foliated metamorphic rock 〉 gneiss ; compound material 〉 igneous material 〉 igneous rock 〉 phaneritic igneous rock 〉 granitoid ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 ELEMENTS ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 IGNEOUS ROCKS ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 MINERALS
    Language: English
    Type: Dataset , Dataset
    Format: 2 Files
    Format: application/octet-stream
    Format: application/octet-stream
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  • 5
    Publication Date: 2022-11-29
    Description: Abstract
    Description: In August and September 2013, 17 shallow ocean bottom seismograph (S-OBS) stations and 8 land stations had been deployed on and around Muostakh Island (Laptev Sea, Russia) for a time period of 24 days. The specifically designed underwater recording equipment consists of a low-power digital recorder, a standard 4.5Hz 3-component geophone, and a battery pack. These components are enclosed in a watertight cylindrical container safe for operation down to 100m water depth. Land stations were also equipped with 4.5 Hz 1C-geophones as well as with batteries. All instruments recorded continuously with 200 samples per second (sps). The stations were deployed along two profiles covering a region of 8km x 8 km. The tilt of the geophone inside the S-OBS influences the sensor characteristics. Since the orientation and tilt at the ocean bottom was unknown, approximately every 24 hours a calibration signal (a sequence of step-functions) was applied to the sensors of the ocean stations. This might be used to recover the actual sensor characteristics (eigenfrequency and damping). The dataset contains 1) a info-folder with a) a README file; b) a file containing the times when calibration signals occurred (format: recorder_ID - date - time); c) the station table (ASCII; recorder_ID - latitude - longitude - (water)depth); d) a map of the region with the locations of the stations; 2) raw CUBE-formatted data; 3) converted mini-seed-formatted data (hourly files).
    Keywords: Seismology ; Laptev Sea (Russia) ; Cryosphere ; Solid Earth ; Permafrost
    Language: English
    Type: Dataset , temporary seismological network
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  • 6
    Publication Date: 2022-11-29
    Description: Abstract
    Description: LITHOS-CAPP is the German contribution to the international ScanArray experiment. ScanArray is an array of broadband seismometers with which we aim to study the lithosphere and upper mantle beneath the Scandinavian Mountains and the Baltic Shield. LITHOS-CAPP contributed 20 broadband recording stations from September 2014 to October 2016, 10 in Sweden and 10 in Finland, continuously recordings at 100 samples per second. The stations were deployed by the KIT Geophysical Institute and GFZ section 2.4 (seismology). They form part of the temporary network ScanArrayCore (FDSN network code 1G 2012-2017). This data publication contains the original log-files of the recorders.
    Keywords: Broadband seismology ; Scandinavia ; temporary seismic network
    Language: English
    Type: Dataset , temporary seismological network
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  • 7
    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
    Format: application/pdf
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  • 8
    Publication Date: 2023-04-21
    Description: Abstract
    Description: Version History:15 June 2020:Initial release of the data. Note that the initial version number is 0002 in order to reflect the consistent data processing of this data set and Version 0002 of the data set Boergens et al. (2019, http://doi.org/10.5880/GFZ.GRAVIS_06_L3_TWS).---------------------------------------------------------------------------------------------GRACE/GRACE-FO Level-3 product based on COST-G RL01 Level-2B products (Dahle & Murböck, 2020) representing Terrestrial Water Storage (TWS) anomalies provided at 1° latitude-longitude grids as defined over all continental regions except Greenland and Antarctica. The TWS anomaly grids are provided in NetCDF format divided into yearly batches. The files each contain four different variables:1) 'tws': gravity-based TWS2) 'std_tws': gravity-based TWS uncertainties3) 'leakage': spatial leakage contained in TWS4) 'model_atmosphere': background model atmospheric massThese Level-3 products are visualized at GFZ's web portal GravIS (http://gravis.gfz-potsdam.de). Link to data products: ftp://isdcftp.gfz-potsdam.de/grace/GravIS/COST-G/Level-3/TWS
    Keywords: Gravity Recovery And Climate Experiment (GRACE) ; GRACE Follow-on (GRACE-FO) ; Level-3 ; Mass ; Mass Transport ; Total Water Storage ; Time Variable Gravity ; Mass Balance ; Satellite Geodesy ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD ; Earth Observation Satellites 〉 NASA Earth System Science Pathfinder 〉 GRACE
    Language: English
    Type: Dataset , Dataset
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  • 9
    Publication Date: 2023-04-21
    Description: Abstract
    Description: Version History:15 June 2020:Initial release of the data. Note that the initial version number is 0002 in order to reflect the consistent data processing of this data set and Version 0002 of the data set Sasgen et al. (2019, http://doi.org/10.5880/GFZ.GRAVIS_06_L3_ICE).---------------------------------------------------------------------------------------------GRACE/GRACE-FO Level-3 products based on COST-G RL01 Level-2B products (Dahle & Murböck, 2020) representing ice-mass changes for the Antarctic Ice Sheet (AIS) and the Greenland Ice Sheet (GIS). The ice-mass changes are provided both as basin average product and as gridded product.Basin-average ice-mass changes are obtained using the inversion procedure based on a forward modelling approach as described in Sasgen et al. (2013) for the AIS and Sasgen et al. (2012) for the GIS.Gridded ice-mass changes are provided at polar-stereographic grids with a grid spacing of 50 x 50 km^2. The applied algorithm is based on tailored sensitivity kernels (Groh & Horwath, 2016), and has also been used to generate gravimetric mass balance products within the ESA Climate Change Initiative (CCI) projects for the AIS and the GIS.These Level-3 products are visualized at GFZ's web portal GravIS (http://gravis.gfz-potsdam.de).Link to data products: ftp://isdcftp.gfz-potsdam.de/grace/GravIS/COST-G/Level-3/ICE
    Keywords: Gravity Recovery And Climate Experiment (GRACE) ; GRACE Follow-on (GRACE-FO) ; Level-3 ; Mass ; Mass Transport ; Ice-mass Change ; Time Variable Gravity ; Antarctic Mass Balance ; Greenland Mass Balance ; Sea-level Change ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD ; Earth Observation Satellites 〉 NASA Earth System Science Pathfinder 〉 GRACE
    Language: English
    Type: Dataset , Dataset
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  • 10
    Publication Date: 2023-04-21
    Description: Abstract
    Description: Version History:15 June 2020:Initial release of the data. Note that the initial version number is 0002 in order to reflect the consistent data processing of this data set and Version 0002 of the data set Dobslaw et al. (2019, http://doi.org/10.5880/GFZ.GRAVIS_06_L3_OBP).---------------------------------------------------------------------------------------------GRACE/GRACE-FO Level-3 product based on COST-G RL01 Level-2B products (Dahle & Murböck, 2020) representing Ocean Bottom Pressure (OBP) variations provided at 1° latitude-longitude grids as defined over ocean areas. The OBP grids are provided in NetCDF format divided into yearly batches. The files each contain seven different variables:1) 'barslv': gravity-based barystatic sea-level pressure2) 'std_barslv': gravity-based barystatic sea-level pressure uncertainties3) 'resobp': gravity-based residual ocean circulation pressure resobp4) 'std_resobp': gravity-based residual ocean circulation pressure uncertainties5) 'leakage': apparent gravity-based bottom pressure due to continental leakage6) 'model_ocean': background-model ocean circulation pressure7) 'model_atmosphere': background-model atmospheric surface pressureThese Level-3 products are visualized at GFZ's web portal GravIS (http://gravis.gfz-potsdam.de). Link to data products: ftp://isdcftp.gfz-potsdam.de/grace/GravIS/COST-G/Level-3/OBP
    Keywords: Gravity Recovery And Climate Experiment (GRACE) ; GRACE Follow-on (GRACE-FO) ; Level-3 ; Mass ; Mass Transport ; Ocean Bottom Pressure ; Time Variable Gravity ; Mass Balance ; Satellite Geodesy ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD ; Earth Observation Satellites 〉 NASA Earth System Science Pathfinder 〉 GRACE
    Language: English
    Type: Dataset , Dataset
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