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  • 1
    Publication Date: 2021-08-17
    Description: Abstract
    Description: This dataset is supplemental to the paper Wallis et al. (2020) and contains data derived from syn-chrotron X-ray diffraction, electron backscatter diffraction (EBSD), high-angular resolution electron backscatter diffraction (HR-EBSD), and scanning transmission electron microscopy (STEM). The da-taset consists primarily of measurements of the effect of annealing on stress heterogeneity meas-ured by X-ray diffraction; maps of lattice orientation measured by EBSD; maps of lattice rotations, densities of geometrically necessary dislocations (GNDs), and heterogeneity in residual stress measured by HR-EBSD; and images of dislocations obtained by STEM. Data are provided as 66 tab delimited text files organised and labelled by the figure in which they first appear within Wallis et al. (2020). Table 1 of the data description file presents an overview of the datasets and Table 2 provides a description of each data file. Data types are also indicated in the file names.
    Keywords: Low-temperature plasticity ; olivine ; synchrotron X-ray diffraction ; electron backscatter diffraction ; EBSD ; high-angular resolution electron backscatter diffraction ; HR-EBSD ; scanning transmission electron microscopy ; STEM ; geometrically necessary dislocation ; GND ; residual stress ; EPOS ; multi-scale laboratories ; rock and melt physical properties ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 IGNEOUS ROCKS 〉 IGNEOUS ROCK PHYSICAL/OPTICAL PROPERTIES 〉 HARDNESS ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 MINERALS 〉 MINERAL PHYSICAL/OPTICAL PROPERTIES 〉 COMPOSITION/TEXTURE ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 MINERALS 〉 MINERAL PHYSICAL/OPTICAL PROPERTIES 〉 HARDNESS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRAIN ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS ; Hardness ; Multi Anvil ; olivine ; Strength 〉 Yield Strength ; Triaxial
    Type: Dataset , Dataset
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  • 2
    Publication Date: 2021-12-21
    Description: Abstract
    Description: The stable isotopic composition of pyrite (δ34Spyrite) and barite (δ34Sbarite, δ18Obarite) in marine sedimentary rocks provides a valuable archive for reconstructing the biogeochemical processes that link the sulfur, carbon, and iron cycles. Highly positive δ34Spyrite values that exceed coeval unmodified seawater sulfate (δ34Spyrite 〉 δ34SSO4(SW)), have been recorded in both modern sediments and ancient sedimentary records and are interpreted to result from various biotic and abiotic processes under a range of environmental conditions. A host of processes, including basin restriction, euxinia, low seawater sulfate, dissimilatory microbial sulfate reduction, sulfide reoxidation, and sulfur disproportionation, have been suggested to account for the formation of highly positive δ34Spyrite values in marine environments. Significantly, determining which of these factors was responsible for the pyrite formation is impeded by a lack of constraints for coeval sulfate, with relatively few examples available where δ34Spyrite and proxies for δ34Ssulfate values (e.g., barite) have been paired at high resolution. In the Selwyn Basin, Canada, the Late Devonian sedimentary system is host to large, mudstone-hosted bedded barite units. These barite units have been interpreted in the past as distal expressions of SEDEX mineralization. However, recent studies on similar settings have highlighted how barite may have formed by diagenetic processes before being subsequently replaced during hydrothermal sulfide mineralization. Coincidentally, highly positive δ34Sbarite values have been recorded in such barite occurring coevally with pyrite in diagenetic redox front, where sulfate reduction is coupled to anaerobic oxidation of methane (SR-AOM) at the sulfate methane transition zone (SMTZ). The mechanisms of sulfur cycling and concurrent processes are, nevertheless, poorly constrained. Grema et al. (2021) integrate high-resolution scanning electron microscopy petrography of barite (+ associated barium phases) and pyrite, together with microscale isotopic microanalyses of δ34Spyrite, δ34Sbarite, and δ18Obarite of selected samples from the Late Devonian Canol Formation of the Selwyn Basin. Samples containing both barite and pyrite were targeted to develop paired isotopic constraints on the evolution of sulfur during diagenesis. We have focused on the precise mechanism by which highly positive δ34Spyrite values developed in the Canol Formation and discuss the implications for interpreting sulfur isotopes in similar settings. This data report comprises microscale secondary ion mass spectrometry (SIMS) analyses of the isotopic compositions of pyrite (δ34Spyrite; n= 200) and barite (δ34Sbarite; n= 485, δ18Obarite; n= 338) in nine stratigraphic sections of the Northwest Territories’ part of the Selwyn Basin. Microdrills of regions of interest (n= 54) were made on polished sections to obtain suitable subsamples, using a 4 mm diameter diamond core drill. Several representative subsamples were cast into 25 mm epoxy pucks, together with reference materials (RMs) of pyrite S0302A (δ34S V-CDT = 0.0 ± 0.2‰ (Liseroudi et al., 2021)) and barite S0327 (δ34SV-CDT = 11.0 ± 0.5 ‰; δ18OV-SMOW = 21.3 ± 0.2 ‰ (Magnall et al., 2016)). Microscale isotopic analyses were carried out using Cameca IMS1280 large-geometry secondary ion mass spectrometer (SIMS) operated in multi-collector mode at the NordSIMS laboratory, Stockholm, Sweden. External analytical reproducibility (1 σ) was typically ± 0.04‰ δ34S for pyrite, ± 0.15‰ δ34S, and ± 0.12‰ δ18O for barite. The sample identification, location, and depth are reported in the data files.
    Keywords: Pyrite ; Barite ; in-situ isotope analyses ; sulfur ; microbial sulfate reduction ; anaerobic oxidation of methane ; Late Devonian ; Selwyn Basin ; biochemical process 〉 anaerobic process ; chemical 〉 isotope ; compound material 〉 rock 〉 sedimentary rock 〉 generic mudstone 〉 mudstone ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROCESSES 〉 OXIDATION/REDUCTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPE MEASUREMENTS ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 MINERALS 〉 MINERAL PHYSICAL/OPTICAL PROPERTIES 〉 COMPOSITION/TEXTURE ; In Situ/Laboratory Instruments 〉 Spectrometers/Radiometers 〉 SIMS ; Phanerozoic 〉 Paleozoic 〉 Devonian 〉 Late/Upper Devonian
    Type: Dataset , Dataset
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  • 3
    Publication Date: 2023-02-08
    Description: Abstract
    Description: Earthquake Early Warning and Rapid Response Systems (EEWRRS) should be a viable complement to other disaster risk reduction strategies, particularly in economically developing countries. The „Early Warning and Impact Forecasting“ group (GFZ, section 2.6) is actively involved in the development of novel strategies to develop scientific and technological solutions that may be efficiently applied in countries with limited resources. The proposed solution includes a risk estimation module that extracts from a portfolio of precomputed impact scenarios those matching the characterization of the event detected by an optimized real-time monitoring network. The real-time network integrates both local, on-site components based on low-cost, smart sensor platforms, as well as regional, sparse strong-motion stations. This hybrid solution allows for the optimization of the lead-time and is tailored to the seismotectonic features of the considered region. A prototype EEWRR System is being developed for the Kyrgyz Republic, with the support of the partner CAIAG and in collaboration with the Ministry of Emergency Solutions of the Government of the Kyrygz Republic (MES). Waveform data are available from the GEOFON data centre, under network code AD.
    Keywords: geophysics ; seismology ; seismic noise ; earthquakes ; seismic hazard ; broad band ; velocity ; displacement ; 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: 〉1T
    Format: .mseed
    Format: XML
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  • 4
    Publication Date: 2023-02-08
    Description: Abstract
    Description: Building monitoring and decentralized, on-site Earthquake Early Warning system for the Kyrgyz capital Bishkek. Several low cost sensors equipped with MEMS accelerometers have been installed in eleven buildings within the urban area of the city. The different sensing units communicate with each other via wireless links and the seismic data are streamed in real-time to data centres at GFZ and the Central Asian Institute for Applied Geoscience (CAIAG) using internet. Since each sensing unit has its own computing capabilities, software for data processing can be installed to perform decentralised actions. In particular, each sensing unit can perform event detection tasks and run software for on-site early warning. If a description for the vulnerability of the building is uploaded to the sensing unit, this can be exploited to introduce the expected probability of damage in the early-warning protocol customized for a specific structure. Waveform data are available from the GEOFON data centre, under network code KD.
    Keywords: geophysics ; seismology ; seismic noise ; earthquakes ; seismic hazard ; broad band ; velocity ; displacement ; 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: 〉1T
    Format: .mseed
    Format: XML
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  • 5
    Publication Date: 2021-09-30
    Description: Abstract
    Description: Here we report the raw data of the physical properties of carbonate samples collected along the Monte Maggio normal Fault (MMF), a regional structure (length ~10 km and displacement ~500 m) located within the active system of the Apennines (Italy). In particular, we report results coming from large cores (100 mm in diameter and up to 20 cm long) drilled perpendicular to the fault plane made of Calcare Massiccio (massive limestone) and Bugarone fm (limestone with 8.3 % of clay). From these large cores, we obtained smaller cores, 38 mm in diameter both parallel and perpendicular to the fault plane, that have been used for experiments. We have divided the rock samples in four categories following the fault architecture. The four structural domains of the fault are:1) the hangingwall (HW) made of Bugarone fm that is still preserved in some portions of the fault, 2) a Cemented Cataclasite (CC) and 3) a Fault Breccia (FB) that characterize the cataclastic damage zones and 4) the correspondent undeformed protolith of the footwall block made of Calcare Massiccio. Raw data reported here are those used for drawing Figures 5, 6, 8 and 9 of the paper “Physical and transport property variations within carbonate- bearing fault zones: Insights from the Monte Maggio Fault (central Italy)”, http://doi.org/10.1002/ 2017GC007097 by Trippetta et al. Dataset_Fig05.txt reports P- and S-wave velocities (in km/s) of the described samples at pressure from 0.1 MPa (ambient pressure) up to 100 MPa at ambient temperature in dry conditions and the corresponding Vp/Vs ratio. Experiments have been performed by using the permeameter at the HP-HT Laboratory of experimental Volcanology and Geophysics at INGV (Rome).Dataset_Fig06.txt reports permeability data (in m^2) on the same type of samples of fig05 for the same range of confining pressure at ambient temperature. Pore pressure values athletes each confining pressure step are indicated in the file. Data have been again acquired with the permeameter.Dataset_Fig08.txt reports P-wave velocity data (in km/s) vs depth (in m), recorded on the portion that crossed the Calare Massiccio fm of three boreholes drilled in the Apennines: Varoni 1, Monte Civitello 1 and Daniel1. Data have been obtained by digitalizing each pdf file of the boreholes mentioned above, that are available at http://unmig.sviluppoeconomico.gov.it/videpi/videpi.asp. Once digitalized, respect to the original pdf file, velocity data have been simply converted from um/f to km/s.Dataset_Fig09.txt reports values of the maximum, minimum and average values of Critical fault nucleation length (in m) at each corresponding depth (in m) and applied confining pressure (in MPa). Critical nucleation lengths have been calculated by using the equations described in the text of the Trippetta et al paper and by using the elastic parameters calculated from data reported here. Data on earthquakes-depth distribution of the 2009 L'Aquila sequence can be found on Chiaraluce et al. (2011).
    Keywords: Sesmic Waves ; Carbonates ; Permeability ; Physical properties ; Elastic properties ; Borehole sonic logs ; Vp ; Vs ; Vp/Vs Ratio ; Critical Rupture Length ; EPOS ; Multi-scale laboratories ; rock and melt physical properties
    Type: Dataset
    Format: 19556 Bytes
    Format: 1 Files
    Format: application/x-zip-compressed
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  • 6
    Publication Date: 2021-12-20
    Description: Abstract
    Description: This data publication is supplementary material to McCutcheon et al. (2021): "Melting of the Greenland Ice Sheet is a leading cause of land-ice mass loss and cryosphere-attributed sea level rise. Blooms of pigmented glacier ice algae lower ice albedo and accelerate surface melting in the ice sheet’s southwest sector. Although glacier ice algae cause up to 13% of the surface melting in this region, the controls on bloom development remain poorly understood. Here we show a direct link between mineral phosphorus in surface ice and glacier ice algae biomass through the quantification of solid and fluid phase phosphorus reservoirs in surface habitats across the southwest ablation zone of the ice sheet. We demonstrate that nutrients from mineral dust likely drive glacier ice algal growth, and thereby identify mineral dust as a secondary control on ice sheet melting." Tables included in this data publication: Supplementary Table 1. Locations, dates and sample types collected for particulate analyses. Sites 4a and 4b were the base camp locations for 2016 and 2017, respectively. Supplementary Table 2. Results of a Tukey HSD test with a 95% family-wise confidence interval for Fv/Fm measurements made at 24 h and 120 h in the nutrient addition experiment. Supplementary Table 3. Results of a Tukey HSD test with a 95% family-wise confidence interval for rETRmax measurements made at 24 h and 120 h in the nutrient addition experiment. Supplementary Table 4. Glacier algal cell concentrations (cells·mL-1) at the end of the 120 h nutrient incubation experiment. Glacier algae assemblage used for the incubations had an initial mean cell concentration of 8.0 ± 2.1  103 cells·mL-1. Supplementary Table 5. Carbon, nitrogen, and phosphorus content of solid LAPs collected from melted surface ice. TC: total carbon. TOC: total organic carbon, IC: inorganic carbon, Pexch: exchangeable/loosely bound phosphorus, Pmin: mineral phosphorus, Porg: organic phosphorus. Supplementary Table 6. Mineral phase abundances in 2016 and 2017 particulate samples as determined by Rietveld refinement with powder X-ray diffraction data. Abundances given as weight percent of total mineral dust (n=20). Supplementary Table 7. Mineral class abundances in high algal biomass (Hbio) ice sampled across the ablation zone in 2016. Values listed in weight percent of total mineral dust % (+/- standard error where applicable). Two-sided t-test comparing of mineral class abundances between site 3 and 4a. Supplementary Table 8. Major cation and anion concentrations in the fluid phase and pH, conductivity and total dissolved solids (TDS) of supraglacial stream water and melted ice and snow samples. LOD: level of detection, LOQ: level of quantification, ND: no data. Supplementary Table 9. Number of raw and processed sequences after each quality filtering step for 16S, ITS2 and 18S. Supplementary Table 10. Table shows the full bacterial community composition with the taxonomic assignments of each ASV on the lowest possible level. Values represent the relative abundances of the 16S ASVs in percentage of the total number of sequences and collapsed on the species level. Values are rounded to one decimal place, thus “〈” represents relative abundance values 〈 0.05 and 〉 0. Supplementary Table 11. Table shows the full eukaryotic community composition collapsed into higher eukaryotic taxonomic groups. Values represent the relative abundance of the 18S ASVs in percentage of the total number of sequences and collapsed on the species level. Values are rounded to one decimal place, thus “〈” represents relative abundance 〈 0.05 and 〉 0. Supplementary Table 12. Table shows the fungal community composition with the taxonomic assignments of the ten most abundant ASV on the lowest possible level. The representative sequences were blasted against NCBI and the closest accession number with the respective similarity were recorded. If several hits shared the similarity one hit was chosen as an example (“e.g.”). Values represent the relative abundance of the ITS2 ASVs in percentage of the total number of sequences. Values are rounded to one decimal place, thus “〈” represents relative abundance values 〈 0.05 and 〉 0. Supplementary Table 13. Table shows the full algal community composition with the taxonomic assignments of each ASV on the lowest possible level. Values represent the relative abundance of the 18S ASVs in percentage of the total number of sequences. All ASVs were blasted against NCBI and the closest accession number with the respective similarity were recorded. If several hits shared the similarity one hit was chosen as an example (“e.g.”). Values are rounded to one decimal place, hence “〈” represents relative abundance 〈 0.05 and 〉 0. *Based on light microscopic identifications in Lutz et al. (2018), this ASV likely represents Mesotaenium sp. (99.4% similarity with M. berggrenii var. alaskana) and not Ancylonema nordenskioeldii despite the slightly higher similarity (99.6%). Supplementary Table 14. Rare Earth Element (REE) analysis concentrations (µg·g-1) for the mineral dust in particulate samples.
    Description: TechnicalInfo
    Description: Scanning electron microscopy data was collected by J. McCutcheon using a Hitatchi 8230 SEM at the Leeds Electron Microscopy and Spectroscopy Centre (LEMAS), University of Leeds, UK. X-ray diffraction was conducted by J. McCutcheon using a Bruker D8 Advance Eco X-ray diffractometer (Bruker, Billerica, USA) with a Cu source at the University of Leeds, UK. ICP-MS was conducted by S. Reid using a Thermo Fisher iCAPQc ICP-MS at the University of Leeds, UK. Phosphorus was measured either using segmented flow-injection analysis (AutoAnalyser3, Seal Analytical), or for samples containing lower concentrations of phosphorus by A. Stockdale, using a 100 cm WPI Liquid Waveguide Capillary Cell in conjunction with an Ocean Optics USB2000+ spectrophotometer. Both analyses were conducted at the University of Leeds, UK. Ion chromatography was conducted by A. Viet-Hillebrand at the German Research Centre for Geosciences, Potsdam, Germany using a conductivity detector on a Dionex ICS 3000 system, equipped with an AS 11 HC Dionex analytical column. Carbon and nitrogen analysis was conducted by B. Plessen and S. Pinkerneil at German Research Centre for Geosciences, Potsdam, Germany using an NC2500 Carlo Erba elemental analyzer. Amplicon libraries were sequenced on the Illumina MiSeq using paired 300-bp reads at the University of Bristol Genomics Facility, Bristol, UK. Rare Earth element concentrations were measured by A. Vanderstraeten using HR-ICP-MS (ThermoFisher Element 2) at the Vrije Universiteit Brussel, Belgium. Particle size distribution was measured by K. Jurkschat using a DC24000 CPS disc centrifuge at Oxford Materials Characterisation Services, Oxford, UK.
    Keywords: mineral phosphorous ; algae ; Greenland Ice Sheet ; albedo ; EARTH SCIENCE 〉 CRYOSPHERE 〉 SNOW/ICE 〉 ALBEDO ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 BIOGEOCHEMICAL PROCESSES
    Type: Dataset , Dataset
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  • 7
    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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  • 8
    Publication Date: 2022-11-28
    Description: Abstract
    Description: The stations are part of a seismic network in the Helsinki capital area of Finland in 2020. The stations recorded the response to a second stimulation of a ∼ 6 km deep enhanced geothermal system in the Otaniemi district of Espoo that followed on the first larger stimulation in 2018. The second stimulation from 6 May to 24 May 2020 established a geothermal doublet system. The Institute of Seismology, University of Helsinki (ISUH), installed the 70 GIPP-provided geophones in addition to surface broadband sensors, ISUH-owned short-period instruments, and a borehole satellite network deployed by the operating company. The data set consists of raw CUBE-recorder data and converted MSEED data. The data set has been collected to underpin a wide range of seismic analysis techniques for complementary scientific studies of the evolving reservoir processes and the induced event properties. These should inform the legislation and educate the public for transparent decision making around geothermal power generation in Finland. The full 2020 network and with it the deployment of the CUBE stations is described in a Seismological Research Letter Data Mine Column by A. Rintamäki et al. (2021).
    Description: Other
    Description: The Geophysical Instrument Pool Potsdam (GIPP) provides field instruments for (temporary) seismological studies (both controlled source and earthquake seismology) and for magnetotelluric (electromagnetic) experiments. The GIPP is operated by the GFZ German Research Centre for Geosciences. The instrument facility is open for academic use. Instrument applications are evaluated and ranked by an external steering board. See Haberland and Ritter (2016) and https://www.gfz-potsdam.de/gipp for more information.
    Keywords: Geothermal system ; geothermal reservoir ; stimulation ; induced seismicity ; induced earthquakes ; Fennoscandian shield ; earthquake monitoring ; seismic arrays ; array seismology ; array of arrays ; Finland ; Helsinki] ; EARTH SCIENCE 〉 SOLID EARTH ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE ; geology
    Type: Dataset , Dataset
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  • 9
    Publication Date: 2023-02-08
    Description: Abstract
    Description: The KISS network was installed in the frame of the "Klyuchevskoy Investigation - Seismic Structure of an extraordinary volcanic system" project and recorded data between summer 2015 and summer 2016 in one of the world's largest clusters of subduction volcanoes - the Klyuchevskoy volcanic group (KVG). It is located in eastern Russia at the northern end of the Kuril-Kamchatka subduction zone close to its intersection with the Aleutian arc and the north-western termination of Hawaii-Emperor seamount chain. Additional to the 4700m high Mount Klyuchevskoy the KVG contains 12 other volcanoes that have together erupted about 1 cubic meter rock per second averaged over the past 10,000 years. Among those Klyuchevskoy, Bezymianny and Tolbachik were the most active ones during the last decades with eruptions styles ranging from explosive to Hawaiian-type. The KISS experiment is designed to investigate the volcanic and seismic processes and its structural setting in the KVG. The network covers a circular region of about 80km diameter with some linear extensions. It includes data from 77 temporary seismic stations with broadband and short period sensors that were installed on concrete plates in about 60cm deep holes. Due to the local conditions the stations were battery powered and could not be serviced during the experiment. GPS reception of the digitizers was not continuous at all stations due to thick snow cover and vegetation.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; 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: ~320G
    Format: .mseed
    Format: XML
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  • 10
    Publication Date: 2024-02-14
    Description: Abstract
    Description: The Southern Permian Basin in Central Europe (in Germany and Poland) hosts several sediment-hosted Cu deposits (see Borg et al., 2012). The Cu- and Zn-Pb sulfide mineralization is preserved in the coarse-grained continental siliciclastics of the uppermost Rotliegend (S1), organic matter- and carbonate-rich marine mudstones of the Kupferschiefer (T1) and dolomitic Zechstein Limestone (Ca1). In these datasets, we provide quantitative mineralogical and geochemical data of drill core samples from the Saale Basin in East Germany. The samples include the uppermost Rotliegend sandstone (S1), Kupferschiefer (T1) and lowermost Zechstein Limestone (Ca1), referred as the Kupferschiefer system, from three drill cores (Sangerhausen, Allstedt and Wallendorf). This data publication includes quantitative mineralogy (X-ray diffraction), bulk rock major, minor and trace element geochemistry (X-ray fluorescence and inductively coupled mass spectrometry) and total organic carbon (elemental analyzer).
    Keywords: Kupferschiefer ; Saale Basin ; Eastern Germany ; Quantitative mineralogy ; Bulk rock geochemistry ; Base metals ; Total organic carbon ; Major elements ; Trace elements ; X-ray diffraction ; X-ray flourescence ; Inductively coupled plasma-mass spectrometry ; Diagenetic history ; Timing of Cu- and Zn-Pb sulfide mineralization ; compound material 〉 sedimentary material 〉 sedimentary rock 〉 generic sandstone 〉 sandstone ; EARTH SCIENCE 〉 OCEANS 〉 MARINE SEDIMENTS 〉 DIAGENESIS ; EARTH SCIENCE 〉 OCEANS 〉 OCEAN CHEMISTRY 〉 MARINE GEOCHEMISTRY ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 MARINE GEOCHEMICAL PROCESSES 〉 MINERAL DISSOLUTION
    Type: Dataset , Dataset
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