2026-04-16T08:28:04Zhttp://doidb.wdc-terra.org/oaip/oai

oai:doidb.wdc-terra.org:62202017-04-27T16:14:12ZDOIDBDOIDB.GFZ

false3DOIDB.GFZ 10.5880/GFZ.2.1.2016.002 Richter, Nicole GFZ German Research Centre for Geosciences, Potsdam, Germany Nikkhoo, Mehdi GFZ German Research Centre for Geosciences, Potsdam, Germany de Zeeuw-van Dalfsen, Elske GFZ German Research Centre for Geosciences, Potsdam, Germany Walter, Thomas. R. GFZ German Research Centre for Geosciences, Potsdam, Germany Terrestrial laser scanner data covering the summit craters of Láscar Volcano, Chile GFZ Data Services 2016 Lascar Volcano Terrestrial Laser Scanner (TLS) Geomorphology Nested craters eng Dataset 10.1016/j.jvolgeores.2016.09.018 10.1080/01431160903154416 http://seal.web.cern.ch/seal/documents/minuit/mnusersguide.pdf 56055973 Bytes 2 Files application/pdf application/x-zip-compressed CC BY 4.0 The datasets included in this data publication are: (1) the TLS combined point cloud (consisting of ∼15 million data points), (2) a Digital Elevation Model (DEM) with 1 m pixel spacing which was generated from (1), and (3) a shaded relief of (2) in kmz format. These datasets are supplement to de Zeeuw-van Dalfsen et al. (2017), who used them to study structural and geomorphological features at the nested summit craters of Láscar Volcano, Chile. However, in the paper the data were used in a local reference frame while we here provide both the TLS point cloud and the DEM product in global coordinates (WGS 1984 UTM Zone 19 South). Light detection and ranging (LiDAR) is a technique where a laser pulse is actively emitted from a LiDAR instrument and the echo that returns from a target object is recorded. The distances between the instrument and the target points are calculated from the round-trip travel time of the laser pulse (Fornaciai et al., 2010). A terrestrial laser scanner (TLS) uses this technique in a scanning mode where the laser beam is deflected into different directions by an oscillating mirror while at the same time the scanner’s head is rotating. We used a long-range RIEGL LMS-Z620 instrument with a field of view of up to 80° by 360° in the vertical and horizontal plane, respectively. The maximum repeatability of this instrument is 5 mm, but this value increases with increasing distance between the scanner and the target, when viewing geometries or the target reflectivity are not optimal or when atmospheric conditions vary and are not ideal. From the acquired 3D point cloud topographic details can be retrieved over a maximum distance of 2 km. However, newer instruments can reach distances of 6 km or more. Georeferencing (local coordinate system) In total, four TLS scans were acquired on two days in November 2013 (two at each day to overcome shadowing effects). The two point clouds from each view point were combined using tie points, i.e. reflectors that were placed in the field, and the RiSCAN Pro Software (http://www.riegl.com). For the two point clouds from day 1, we achieved a standard deviation of 0.0023 m using 6 tie points, while for the two point clouds acquired on day 2 we reached a standard deviation of 0.0052 m using 3 tie points. In addition to the TLS measurement, the reflectors’ positions were also measured using a total station. This additional data allowed us to 1) orientate each of the two point clouds to a local geodetic reference frame in the XY plane using a 3D affine transformation with a remaining RMSE of ∼1 cm and 2) estimate the orientation about Z and the full translation parameters using hand-held GPS coordinates of a common point and the individual tie points. Following this procedure we produced a combined point cloud of all four TLS scans in a local geodetic reference frame. Georeferencing (global coordinate system) In order to derive the coordinates of the TLS point cloud in a global coordinate system, we used the open-source software Minuit2 5.18/00 which was developed at CERN (James and Winkler, 2004 and references therein). This tool finds the minimum value of multi-parameter functions and was in our case employed to find the minimum root mean square residuals (in elevation) between the TLS point clouds and a reference DEM featuring a 1 m pixel spacing that was calculated from tri-stereo optical Pléiades-1 satellite imagery. When applying this minimization technique, the data are transferred to the same coordinate system as the reference data (WGS 1984 UTM Zone 19 South). In a first step, we minimized the two TLS point clouds from the two different acquisition dates separately. We masked out areas from the Pléiades reference DEM that we know are very different when compared to the TLS point data. For instance, areas along the steep crater walls are interpolated to a high degree in the Pléiades DEM, while the scanner-facing crater walls are expected to have comparably precise point values in the TLS dataset. Thereafter, we combined the TLS point clouds and ran another Minuit RMSE minimization onto the masked Pléiades DEM. -23.3667 -67.7333

oai:doidb.wdc-terra.org:62412017-09-15T11:25:13ZDOIDBDOIDB.GFZ

false3DOIDB.GFZ 10.5880/GFZ.2.1.2016.001 Richter, Nicole GFZ German Research Centre for Geosciences, Potsdam Favalli, Massimiliano Istituto Nazionale di Geofisica e Vulcanologia (INGV), Pisa de Zeeuw-van Dalfsen, Elske GFZ German Research Centre for Geosciences, Potsdam Fornaciai, Alessandro Istituto Nazionale di Geofisica e Vulcanologia (INGV), Pisa, Dipartimento di Fisica e Astronomia (DIFA), Alma Mater Studiorum – Università di Bologna, Bologna da Silva Fernandes, Rui Manuel Instituto D. Luiz, University of Beira Interior, Covilhã Pérez, Nemesio M. Instituto Volcanológico de Canarias (INVOLCAN), Puerto de la Cruz, Instituto Tecnológico y de Energías Renovables (ITER), Granadilla de Abona Levy, Judith GFZ German Research Centre for Geosciences, Potsdam Silva Victória, Sónia Universidade de Cabo Verde, Praia, Cabo Verde Walter, Thomas R. GFZ German Research Centre for Geosciences, Potsdam A post-2015 lava flow hazard map for Fogo Volcano, Cabo Verde GFZ Data Services 2016 en 10.5194/nhess-16-1925-2016 10.5194/nhess-16-1925-2016-supplement 39518743 Bytes 2 Files application/pdf application/pdf CC BY 4.0 We provide an updated lava flow hazard map for Fogo Volcano, Cabo Verde that is valid after the 2014-2015 eruptive crises. The hazard map shows the probability of lava flow invasion within the Chã das Caldeiras and on the eastern flank of the volcano. This probability is defined as the likelihood that a future lava flow will inundate a specific point before the vent location is known. The hazard map is calculated on the basis of a 5 m resolution digital elevation model generated from contours on the base of photogrammetric data that was updated for the 2014-2015 lava flow using combined terrestrial laser scanner (TLS) and camera data. The lava flow hazard map in printable A0 poster format is available in two versions, an English-Kreolu version (blue) and an English-Portugese version (green). Please refer to Richter et al. (2016) for more information and scientific background, as well as for supplementary material in kml format. 14.812060061226388 -24.514617919921875 15.056210365453422 -24.2742919921875 Foco Island, Capo Verdean Archipelago

oai:doidb.wdc-terra.org:65662019-03-23T10:01:00ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.3.3.2018.002 Frick, Daniel A. Daniel A. Frick 0000-0002-8530-3064 GFZ German Research Centre for Geosciences, Potsdam, Germany Schuessler, Jan A. Jan A. Schuessler 15726782000 GFZ German Research Centre for Geosciences, Potsdam, Germany Sommer, Michael Michael Sommer 55671655600 Leibniz-Centre for Agricultural Landscape Research (ZALF) e. V., Müncheberg, Germany University of Potsdam, Institute of Earth and Environmental Sciences, Potsdam, Germany von Blanckenburg, Friedhelm Friedhelm von Blanckenburg 0000-0002-2964-717X GFZ German Research Centre for Geosciences, and GFZ German Research Centre for Geosciences, Potsdam, Germany Freie Universität Berlin, Institute of Geological Sciences, Berlin, Germany Data supplement to: Laser ablation in situ silicon stable isotope analysis of phytoliths GFZ Data Services 2018 In-situ silicon isotope ratios analysis phytolith laser ablation inductively coupled plasma mass spectrometry biogenic silica en 10.1111/ggr.12243 10.1016/j.sab.2014.05.002 758605 Bytes 4 Files application/vnd.openxmlformats-officedocument.spreadsheetml.sheet application/pdf application/vnd.ms-excel application/pdf CC BY 4.0 Silicon is a beneficial element for many plants, and is deposited in plant tissue as amorphous bio-opal (phytoliths). The biochemical processes of uptake and precipitation induce isotope fractionation: the mass-dependent shift in the relative abundances of the stable isotopes of silicon. At the bulk scale, the silicon isotope composition reported as δ30Si span from -2 to +6 ‰. To further constrain these variations, at the scale of individual phytolith fragments we applied in situ femtosecond laser ablation multicollector inductively coupled plasma mass spectrometry (fsLA-MC-ICP-MS) to a set of 7 natural phytolith samples. Two phytoliths samples (Norway spruce Picea abies and European beech Fagus sylvatica L.) were extracted from the organic-rich topsoil horizon (O) of two studies sites in Germany (Beerenbusch, close to village Rheinsberg and Wildmooswald, in the southern Black Forest). The other five phytolith samples (bushgrass Calamagrostis epigejos, common reed Phragmites australis, common horsetail Equisetum arvense, annual and perennial rough horsetail Equisetum hyemale) were separated from plant materials. The individual phytolith fragments were analysed by fsLA-MC-ICP-MS and Si isotope results are reported in the δ-notation (delta) as permil deviation relative to NIST SRM610, which is isotopically indistinguishable from the reference material NBS28 (quartz NIST SRM8546 alias NBS28, δ29Si ≡ 0 and δ30Si ≡ 0). Raw data processing and background corrections were made according to the protocol described in Schuessler and von Blanckenburg (2014) that also involves application of several data rejection/acceptance criteria. Of these, the most important ones are that A) only 30/28Si and 29/28Si ratios are used for the calculation which deviate less than 3 standard deviation from the mean and B) only results which follow the mass-depended terrestrial fractionation line in a three-isotope-plot of δ29Si vs. δ30Si within analytical uncertainties and C) have a mass bias drift between the two bracketing standards of less than 0.30 ‰ in 30/28Si are accepted and reported in this study. Detailed description of the sample origin, preparation steps, and the measurement protocol can be found in Frick, D. A.; Schuessler, J. A.; Sommer, M.; von Blanckenburg, F. (2018): Laser ablation in situ silicon stable isotope analysis of phytoliths. Geostandards and Geoanalytical Research. https://doi.org/10.1111/ggr.12243. With this supplement we aim to provide a comprehensive dataset for in situ stable silicon isotope composition of individual phytolith fragments. Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung http://doi.org/10.13039/501100001711 P2EZP2-168836 In situ Ge/Si and d30Si determination in phytoliths – advancing laser ablation ICP-MS techniques to analyse novel biogeochemical weathering archives

oai:doidb.wdc-terra.org:63852021-02-15T15:07:20ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.2.1.2017.003 Darmawan, Herlan Herlan Darmawan 0000-0002-5361-5194 GFZ German Research Centre for Geosciences, Potsdam, Germany Walter, Thomas Thomas Walter 0000-0002-9925-4486 GFZ German Research Centre for Geosciences, Potsdam, Germany Richter, Nicole Nicole Richter GFZ German Research Centre for Geosciences, Potsdam, Germany Nikkoo, Mehdi Mehdi Nikkoo 0000-0002-1077-454X GFZ German Research Centre for Geosciences, Potsdam, Germany High resolution Digital Elevation Model of Merapi summit in 2015 generated by UAVs and TLS GFZ Data Services 2017 Digital Elevation Model LiDAR UAV Photogrammetry Merapi volcano Terrestrial Laser Scanning TLS Darmawan, Herlan Herlan Darmawan 0000-0002-5361-5194 GFZ German Research Centre for Geosciences, Potsdam, Germany Darmawan, Herlan Herlan Darmawan 0000-0002-5361-5194 GFZ German Research Centre for Geosciences, Potsdam, Germany Darmawan, Herlan Herlan Darmawan 0000-0002-5361-5194 GFZ German Research Centre for Geosciences, Potsdam, Germany Walter, Thomas Thomas Walter 0000-0002-9925-4486 GFZ German Research Centre for Geosciences, Potsdam, Germany Richter, Nicole Nicole Richter GFZ German Research Centre for Geosciences, Potsdam, Germany Nikkoo, Mehdi Mehdi Nikkoo 0000-0002-1077-454X GFZ German Research Centre for Geosciences, Potsdam, Germany /d 2017-11-15 2014-09-14/2015-10-06 en 10.1016/j.jvolgeores.2017.11.006 80487522 Bytes 2 Files image/tiff image/tiff 2015 CC BY 4.0 This data publication is a high resolution Digital Elevation Model (DEM) generated for the Merapi summit by combining terrestrial laser scanning (TLS) and unmanned aerial vehicles (UAVs) photogrammetry data acquired in 2014 and 2015, respectively. The structures of the data are further analysed in Darmawan et al. 2017 (http://doi.org/10.1016/j.jvolgeores.2017.11.006). The published datasets consist of combined point clouds with ~65 million data points and a DEM with a resampled resolution of 0.5 m. The DEM data covers the complexity of the Merapi summit with area of 2 km2. The coordinate of the datasets is projected to global coordinates (WGS 1984 UTM Zone 49 South). TLS is a topography mapping technique which exploits the travel time of a laser beam to measure the range between the ground-based scanning instrument and the earth’s surface. TLS provides high accuracy, precision, and resolution for topography mapping, however, it requires different scan position to obtain accurate topography model in a complex topography. The TLS dataset was acquired by using a long-range RIEGL VZ-6000 instrument with a Pulse Repetition Rate (PRR) of 30 kHz. The Merapi data includes an observation range of 0.129 – 4393.75 m, a theta range (vertical) of 73 – 120° with a sampling angle of 0.041°, a phi range (horizontal) of 33° - 233° with a sampling angle of 0.05°, and 12 reflectors for each scan. The used TLS dataset was achieved by combining two scan positions, both realized in September 2014. In order to reduce still eminent shadowing, we conducted additionally a UAV photogrammetry survey. The UAV data allows to fill data gaps and generate a complete 3D point cloud. The UAV photogrammetry was conducted by using DJI Phantom 2 quadcopter drone in October 2015. The drone carried GoPro HERO 3+ camera and a H3-3D gimbal to reduce image shaking. We obtained over 300 images which cover the summit area of Merapi. By applying the Structure from Motion algorithm, we are able to generate a 3D point cloud model of Merapi summit. Further details on this procedure are provided in Darmawan et al. (2017). Structure from Motion is a technique to generate a 3D model based on 2D overlapped images. The algorithm detects and matches the same ground features of 2D images, reconstructs a 3D scene, and calculates a depth map for each camera frame. The algorithm used is implemented in Agisoft Photoscan Professional software. After importing the images in Agisoft, we used the ‘align image’ function with high accuracy setting to generate 3D sparse point cloud and ‘build dense cloud’ function with high quality to generate 3D dense point cloud. The 3D point clouds of TLS and UAV photogrammetry were then georeferenced to our georeferenced 3D point cloud which acquired in 2012. The RMS of TLS and UAV photogrammetry during georeferenced is 0.60 and 0.44 m, respectively, as described in Further details on this procedure are provided in Darmawan et al. (2017). After georeferencing, both 3D point clouds were merged and interpolated to a raster format in the ArcMap software. 110.439711 110.455147 -7.554412 -7.536093 The data cover area of 2 km square at Merapi summit Horizon 2020 Framework Programme http://doi.org/10.13039/100010661 ERC-CoG 646858 VOLCAPSE

oai:doidb.wdc-terra.org:70392021-02-16T17:41:00ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.2.1.2020.008 Walter, Thomas R. Thomas R. Walter 0000-0002-9925-4486 GFZ German Research Centre for Geosciences, Potsdam, Germany Darmawan, Herlan Herlan Darmawan 0000-0002-5361-5194 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2021 Merapi Aircraft > UAV Earth Observation Satellites > TDX Earth Observation Satellites > TSX Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR EARTH SCIENCE SERVICES > MODELS > DIGITAL ELEVATION/DIGITAL TERRAIN MODELS science > natural science > earth science > geology > volcanology Walter, Thomas R. Thomas R. Walter 0000-0002-9925-4486 GFZ German Research Centre for Geosciences, Potsdam, Germany Darmawan, Herlan Herlan Darmawan 0000-0002-5361-5194 GFZ German Research Centre for Geosciences, Potsdam, Germany Walter, Thomas R. GFZ German Research Centre for Geosciences, Potsdam, Germany 2015-10-06 2014-09-14 Dataset 10.5880/GFZ.2.1.2017.003 10.1016/j.jvolgeores.2017.11.006 1 CC BY 4.0 This data is an high resolution Digital Elevation Model (DEM) generated for the Merapi summit by combining terrestrial laser scanning (TLS) and unmanned aerial vehicles (UAVs) photogrammetry data and TanDEM-X data acquired in the years between 2012 and 2017. The structures of the data are further analysed in Darmawan et al. 2017a (http://doi.org/10.1016/j.jvolgeores.2017.11.006), and a previous DEM was available in Darmawan et al. 2017b (https://doi.org/10.5880/GFZ.2.1.2017.003). The 3D point clouds of the different data were merged and interpolated to a raster format (Geotiff format).
110.431 110.461 -7.55471 -7.5268

oai:doidb.wdc-terra.org:71042021-05-21T11:33:37ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.3.1.2020.005 Rieger, Philip Philip Rieger 0000-0001-7888-0077 GFZ German Research Centre for Geosciences, Potsdam, Germany Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany Magnall, Joseph M. Joseph M. Magnall 0000-0002-7868-3038 GFZ German Research Centre for Geosciences, Potsdam, Germany Gleeson, Sarah A. Sarah A. Gleeson 0000-0002-5314-4281 GFZ German Research Centre for Geosciences, Potsdam, Germany Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany Oelze, Marcus Marcus Oelze 0000-0002-3950-6629 GFZ German Research Centre for Geosciences, Potsdam, Germany Wilke, Franziska D.H. Franziska D.H. Wilke 0000-0002-3463-6176 GFZ German Research Centre for Geosciences, Potsdam, Germany Lilly, Richard Richard Lilly 0000-0001-9111-2056 Department of Earth Sciences, University of Adelaide, Adelaide, Australia GFZ Data Services 2021 rare earth elements CD-type massive sulphide deposit SEDEX massive sulphide deposit hydrothermal alteration hydrothermal ore formation Proterozoic sedimentary basin Mount Isa George Fisher Carpentaria Province EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > MARINE GEOCHEMISTRY In Situ/Laboratory Instruments > Spectrometers/Radiometers > LA-ICP-MS Elemental Mapping by LA-ICP-MS (GFZ German Research Centre for Geosciences, Germany) GFZ German Research Centre for Geosciences, Potsdam, Germany Rieger, Philip GFZ German Research Centre for Geosciences, Potsdam, Germany Dataset 10.1007/s00126-021-01056-1 10.1039/C1JA10172B 10.1111/j.1751-908X.2007.00104.x CC BY 4.0 Carbonate minerals are ubiquitous in most sediment-hosted mineral deposits. These deposits can contain a variety of carbonate types with complex paragenetic relationships. When normalized to chondritic values (CN), rare-earth elements and yttrium (REE+YCN) can be used to constrain fluid chemistry and fluid-rock interaction processes in both low- and high-temperature settings. Unlike other phases (e.g., pyrite), the application of in situ laser ablation-inductively coupled plasma-mass spectroscopy (LA-ICP-MS) data to the differentiation of pre-ore and hydrothermal carbonates remains relatively untested. To assess the potential applicability of carbonate in situ REE+Y data, we combined transmitted light and cathodoluminescence (CL) petrography with LA-ICP-MS analysis of carbonate mineral phases from (1) the Proterozoic George Fisher clastic dominated (CD-type) massive sulfide deposit and from (2) correlative, barren host rock lithologies (Urquhart Shale Formation).

The REE+YCN composition of pre-ore calcite suggests it formed during diagenesis from diagenetic pore fluids derived from ferruginous, anoxic seawater. Hydrothermal and hydrothermally altered calcite and dolomite from George Fisher is generally more LREE depleted than the pre-ore calcite, whole-rock REE concentrations, and shale reference values. We suggest this is the result of hydrothermal alteration by saline Cl--rich mineralizing fluids.

Furthermore, the presence of both positive and negative Eu/Eu* values in calcite and dolomite indicates that the mineralizing fluids were relatively hot (>250°C) and cooled below 200-250°C during ore formation. This study confirms the hypothesis that in situ REE+Y data can be used to differentiate between pre-ore and hydrothermal carbonate and provide important constraints on the conditions of ore formation.

oai:doidb.wdc-terra.org:63702022-01-17T18:26:04ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.1.2.2018.001 Rudenko, Sergei Sergei Rudenko 0000-0001-5149-3827 GFZ German Research Centre for Geosciences, Deutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM) Schöne, Tilo Tilo Schöne GFZ German Research Centre for Geosciences Neumayer, Karl-Hans Karl-Hans Neumayer GFZ German Research Centre for Geosciences Esselborn, Saskia Saskia Esselborn GFZ German Research Centre for Geosciences Raimondo, Jean-Claude Jean-Claude Raimondo SpaceTech GmbH Dettmering, Denise Denise Dettmering Deutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM) GFZ VER11 SLCCI precise orbits of altimetry satellites ERS-1, ERS-2, Envisat, TOPEX/Poseidon, Jason-1 and Jason-2 in the ITRF2008 GFZ Data Services 2016 Jason-1 Jason-2 ERS-1 ERS-2 Envisat ESA CCI Sea Level Altimetry satellite Low Earth Orbit satellites sea level TOPEX/POSEIDON ITRF2008 Earth Remote Sensing Instruments > Active Remote Sensing > Altimeters > Radar Altimeters equipment > artificial satellite > observation satellite EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > SATELLITE ORBITS/REVOLUTION > ORBITAL POSITION EARTH SCIENCE > OCEANS > SEA SURFACE TOPOGRAPHY > SEA SURFACE HEIGHT 2016-05-12/2 2014-01-01 1991-08-01/2015-04-04T23:59:59 eng 10.1109/TGRS.2017.2670061 ftp://igs.org/pub/data/format/sp3c.txt 10.1093/gji/ggv545 10.1016/j.asr.2014.03.010 10.1016/j.asr.2012.01.021 10.5194/os-14-205-2018 6 Files application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream VER11 CC BY 4.0 The data set provides GFZ VER11 orbits of altimetry satellites ERS-1 (August 1, 1991 - July 5, 1996),ERS-2 (May 13, 1995 - February 27, 2006),Envisat (April 12, 2002 - April 8, 2012),Jason-1 (January 13, 2002 - July 5, 2013) andJason-2 (July 5, 2008 - April 5, 2015)TOPEX/Poseidon (September 23, 1992 - October 8, 2005), derived at the time spans given at Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences within the Sea Level phase 2 project of the European Space Agency (ESA) Climate Change Initiative using "Earth Parameter and Orbit System - Orbit Computation (EPOS-OC)" software and the Altimeter Database and processing System (ADS, http://adsc.gfz-potsdam.de/ads/) developed at GFZ. The orbits were computed in the same (ITRF2008) terrestrial reference frame for all satellites using common, most precise models and standards available and described below. The ERS-1 orbit is computed using satellite laser ranging (SLR) and altimeter crossover data, while the ERS-2 orbit is derived using additionally Precise Range And Range-rate Equipment (PRARE) measurements. The Envisat, TOPEX/Poseidon, Jason-1 and Jason-2 orbits are based on Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) and SLR observations. The orbit files are available in the Extended Standard Product 3 Orbit Format (SP3-c, ftp://igscb.jpl.nasa.gov/igscb/data/format/sp3c.txt) Files are gzip-compressed. File names are given as sate_YYYYMMDD_SP3C.gz, where "sate" is the abbreviation (ENVI, ERS1, ERS2, JAS1, JAS2, TOPX) of the satellite name, YYYY stands for 4-digit year, MM stands for month and DD stands for day of the beginning of the file. More details on these orbits are provided in Rudenko et al. (2017) -180 180 -82.00000 82.000000 European Space Agency http://doi.org/10.13039/501100000844 Climate Change Initiative Sea Level Phase II project Deutsche Forschungsgemeinschaft http://doi.org/10.13039/501100001659 Consistent estimate of ultra-high resolution Earth surface gravity data (UHR-GravDat)

oai:doidb.wdc-terra.org:66152022-01-17T18:27:04ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.1.2.2018.003 Rudenko, Sergei Sergei Rudenko https://orcid.org/0000-0001-5149-3827 GFZ German Research Centre for Geosciences, Potsdam, Germany Deutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM) Schöne, Tilo Tilo Schöne https://orcid.org/0000-0003-4118-9578 GFZ German Research Centre for Geosciences, Potsdam, Germany Esselborn, Saskia Saskia Esselborn https://orcid.org/0000-0002-1924-4449 GFZ German Research Centre for Geosciences, Potsdam, Germany Neumayer, Karl Hans Karl Hans Neumayer GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ VER13 SLCCI precise orbits of altimetry satellites ERS-1, ERS-2, Envisat, TOPEX/Poseidon, Jason-1, and Jason-2 in the ITRF2014 reference frame GFZ Data Services 2018 Altimetry satellite Low Earth Orbit satellites ESA CCI Sea Level sea level ITRF2014 ERS-1 ERS-2 Envisat TOPEX/Poseidon Jason-1 Jason-2 Orbit Earth Observation Satellites > ENVISAT Earth Observation Satellites > OSTM/JASON-2 Earth Observation Satellites > TOPEX/POSEIDON Earth Observation Satellites > JASON-1 Earth Observation Satellites > ERS Earth Resource Satellite > ERS-2 Earth Observation Satellites > ERS Earth Resource Satellite > ERS-1 Earth Remote Sensing Instruments > Active Remote Sensing > Altimeters > Radar Altimeters EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > SATELLITE ORBITS/REVOLUTION > ORBITAL POSITION EARTH SCIENCE > OCEANS > SEA SURFACE TOPOGRAPHY > SEA SURFACE HEIGHT 1991-08-01/2015-05-06 eng ftp://igs.org/pub/data/format/sp3c.txt 10.5194/se-10-293-2019 10.5880/GFZ.1.2.2018.001 10.1109/TGRS.2017.2670061 10.5194/os-14-205-2018 10.1007/s00190-004-0379-0 1 Files application/octet-stream CC BY 4.0 The data set provides GFZ VER13 orbits of altimetry satellites: ERS-1 (August 1, 1991 - July 5, 1996),ERS-2 (May 13, 1995 - February 27, 2006),Envisat (April 12, 2002 - April 8, 2012),TOPEX/Poseidon (September 23, 1992 - October 8, 2005),Jason-1 (January 13, 2002 - July 5, 2013) andJason-2 (July 5, 2008 - April 5, 2015) derived at the time spans given at the GFZ German Research Centre for Geosciences (Potsdam, Germany) within the Sea Level phase 2 project of the European Space Agency (ESA) Climate Change Initiative using "Earth Parameter and Orbit System - Orbit Computation (EPOS-OC)" software (Zhu et al., 2004) and the Altimeter Database and processing System (ADS, http://adsc.gfz-potsdam.de/ads/) developed at GFZ. The orbits were computed in the ITRF2014 terrestrial reference frame for all satellites using common, most precise models and standards available and described below. The ERS-1 orbit is computed using satellite laser ranging (SLR) and altimeter crossover data, while the ERS-2 orbit is derived using additionally Precise Range And Range-rate Equipment (PRARE) measurements. The Envisat, TOPEX/Poseidon, Jason-1, and Jason-2 orbits are based on Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) and SLR observations. For Envisat, altimeter crossover data were used additionally at 44 of 764 orbital arcs with gaps in SLR and DORIS data. The orbit files are available in the Extended Standard Product 3 Orbit Format (SP3-c). Files are gzip-compressed. File names are given as sate_YYYYMMDD_SP3C.gz, where "sate" is the abbreviation (ENVI, ERS1, ERS2, JAS1, JAS2, TOPX) of the satellite name, YYYY stands for 4-digit year, MM for month and DD for day of the beginning of the file. More details on these orbits are provided in Rudenko et al. (2018) to which these orbits are supplementary material. -180 180 -82 82 alongtrack European Space Agency http://doi.org/10.13039/501100000844 ESA CCI Sea Level Phase II project

oai:doidb.wdc-terra.org:71012022-01-19T15:43:09ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.3.1.2021.003 Pan, Mengdi Mengdi Pan 0000-0003-0632-1799 GFZ German Research Centre for Geosciences, Potsdam, Germany Schicks, Judith M. Judith M. Schicks 0000-0003-1106-0693 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2021 mixed gas hydrates in situ Raman spectroscopy Earth Remote Sensing Instruments > Active Remote Sensing > Spectrometers/Radiometers > Lidar/Laser Spectrometers EARTH SCIENCE > SOLID EARTH > ROCKS/MINERALS/CRYSTALS > GAS HYDRATES > GAS HYDRATES FORMATION EARTH SCIENCE > SOLID EARTH > ROCKS/MINERALS/CRYSTALS > GAS HYDRATES > GAS HYDRATES PHYSICAL/OPTICAL PROPERTIES > STABILITY resource > energy resource Pan, Mengdi Mengdi Pan 0000-0003-0632-1799 GFZ German Research Centre for Geosciences, Potsdam, Germany Pan, Mengdi Mengdi Pan 0000-0003-0632-1799 GFZ German Research Centre for Geosciences, Potsdam, Germany Schicks, Judith M. Judith M. Schicks 0000-0003-1106-0693 GFZ German Research Centre for Geosciences, Potsdam, Germany Schicks, Judith M. Judith M. Schicks 0000-0003-1106-0693 GFZ German Research Centre for Geosciences, Potsdam, Germany Micro-Raman Spectroscopy Laboratory (GFZ German Research Centre for Geosciences, Germany) GFZ German Research Centre for Geosciences, Potsdam, Germany Schicks, Judith M. GFZ German Research Centre for Geosciences, Potsdam, Germany Dataset 10.3390/molecules26103039 10.1016/S0024-4937(00)00043-8 10.1002/9783527615438 10.1007/978-3-642-81279-8_4 CC BY 4.0 Natural gas hydrates encase predominantly methane, but also higher hydrocarbons as well as CO2 and H2S. The formation of gas hydrates from a changing gas mixture, either due to the preferred incorporation of certain components into the hydrate phase or an inadequate gas supply, may lead to significant changes in the composition of the resulting hydrate phase. To determine the overall composition of a hydrate phase during the hydrate formation process, Raman spectroscopy is regarded as a non-destructive and powerful tool. This technique enables to distinguish between guest molecules in the free gas or liquid phase, encased into a clathrate cavity or dissolved in an aqueous phase, therefore providing time-resolved information about the guest molecules during the hydrate formation process.
Experiments were carried out at the Micro-Raman Spectroscopy Laboratory, GFZ. Mixed gas hydrates were synthesized in a high-pressure cell from pure water and a specific gas flow containing CH4, C2H6, C3H8, iso-C4H10 and n-C4H10 at 274 K and 2.20 MPa. Three potential different gas supply conditions were selected for the formation of mixed gas hydrates, namely an open system (test scenario 1) with a continuous gas supply, a closed system (test scenario 2) with no gas supply after initial pressurization with the gas mixture, and a semi-closed system (test scenario 3) with only an incoming gas but a disrupted outlet. In situ Raman spectroscopic measurements and microscopic observations were applied to record changes in both gas and hydrate compositions over the whole formation period until it reached a steady state. In all three test scenarios, 12 hydrate crystals were selected and continuously characterized for 5 days with single point Raman measurements to record the formation process of mixed gas hydrates. Each test scenario was repeated for 3 times, therefore resulting in 9 separate experimental tests.
This dataset encompasses raw Raman spectra of the 9 experimental tests (.txt files) which contained Raman shifts and the respective measured intensities. Each Raman spectrum was fitted to Gauss/Lorentz function after an appropriate background correction to estimate the band areas and positions (Raman shift). The Raman band areas were then corrected with wavelength-independent cross-sections factors for each specific component. The concentration of each guest molecule in the hydrate phase / gas phase was given as mol% in separate spreadsheet for three different test scenarios. Further details on the analytical setup, experimental procedures and composition calculation are provided in the following sections.

Mixed gas hydrates were synthesized in a custom-made pressure cell in the laboratory from water and a certified gas mixture containing CH4, C2H6, C3H8, iso-C4H10, and n-C4H10. Initially, the sample cell was filled with 150 μl deionized and degassed water, carefully sealed and pressurized with the respective gas mixture. When the pressure reached 2.20 MPa and the flowrate was constant, the cell was cooled down to 253 K to induce the spontaneous crystallization of hydrate and ice. After the formation of hydrates and ice, the cell was slowly warmed up to allow the dissociation of ice and most hydrate crystals until only a few hydrate crystals were left. Subsequently, the cell was cooled down again to a temperature within the stability field of the hydrate phase, but above the melting temperature of the ice. Under these conditions set, euhedral gas hydrate crystals were allowed to grow. This “melting-cooling” process was carried out three times before the p-T condition was fixed at 2.20 MPa and 274 K for the formation of mixed gas hydrates.
To investigate the hydrate formation process, three different test scenarios were carried out with different gas flows but under identical p-T conditions. The inlet and outlet valves located outside the pressure cell were set to the desired position once the mixed gas hydrates started to form. In test scenario 1 (open system), the inlet and outlet valves were kept open throughout the whole experiment. Test scenario 2 (closed system) was carried out with the inlet and outlet valves being closed right after initial pressurization to mimic a system with a limited gas supply. The outlet valve was closed in test scenario 3 (semi-closed system) while the inlet valve was open. These changes on the gas flow were maintained throughout the whole formation process. Each test scenario was repeated for 3 times during the experiments.
A confocal Raman spectrometer (LABRAM HR Evolution, Horiba Jobin Yvon) with 1800-grooves/mm grating and a 20× microscope Olympus BX-FM objective was used for the in situ Raman measurements on the mixed gas hydrates. The excitation source was a frequency-doubled Nd:YAG solid-state laser with an output power of 100 mW working at 532 nm. With a focal length of 800 mm, the spectral resolution reached around 0.6 cm-1. A motorized pinhole in the analyzing beam path enabled to variably increase the spatial resolution of laser-spot measurements which in x-y-direction was 0.5 µm and 1.5 µm in z-direction. Before the experiments, the Silicon band (521 cm-1) was employed for the calibration of Raman band positions. During the experiments, a pinhole size of 50 µm was chosen for measurements on the hydrate surface while a pin hole size of 100 µm was set for the gas phase measurements. The acquisition time was 5 seconds with 2 averaged exposures. Neutral density filters that adjusted the output laser power was selected at 100% for the experiment since it provided the best signal-to-noise ratio while laser irradiation damage at the sample was not observed.
For each experimental test, 12 hydrate crystals were randomly selected in the pressure cell. With the help of a motorized, software controlled Märzhauser Scan+ sample stage attached to the microscope, which allowed for the positioning of the sample cell at defined coordinates, the selected hydrate crystals could be monitored over the entire duration of the experiment. Single point Raman spectroscopic measurements were performed right after initial pressurization on hydrate crystal surface. For the following 4 days, a continuous characterization on these crystals were carried out to record the changes of hydrate composition during the formation process.

oai:doidb.wdc-terra.org:71992022-02-04T19:45:09ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.1.4.2021.003 Koellner, Nicole Nicole Koellner 0000-0002-4282-8979 GFZ German Research Centre for Geosciences, Potsdam, Germany Kuras, Agnieszka Agnieszka Kuras GFZ German Research Centre for Geosciences, Potsdam, Germany Hildebrand, Constantin Constantin Hildebrand GFZ German Research Centre for Geosciences, Potsdam, Germany Koerting, Friederike Friederike Koerting 0000-0002-0759-5655 Norsk Elektro Optikk AS – HySpex division, Oslo, Norway Kaestner, Friederike Friederike Kaestner 0000-0003-2654-3866 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2021 hyperspectral spectral library geochemical Li-bearing minerals LIBS Laser-Induced Breakdown Spectroscopy Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers EARTH SCIENCE > SOLID EARTH > ROCKS/MINERALS/CRYSTALS > IGNEOUS ROCKS > IGNEOUS ROCK PHYSICAL/OPTICAL PROPERTIES EARTH SCIENCE > SOLID EARTH > ROCKS/MINERALS/CRYSTALS > SEDIMENTARY ROCKS > SEDIMENTARY ROCK PHYSICAL/OPTICAL PROPERTIES Spectroscopy Laboratory (GFZ German Research Centre for Geosciences, Germany) GFZ German Research Centre for Geosciences, Potsdam, Germany Koellner, Nicole GFZ German Research Centre for Geosciences, Potsdam, Germany Dataset 10.5194/essd-13-923-2021 10.1017/CBO9780511541261 http://lights.univ-lorraine.fr/ https://sciaps.com/libs-handheld-laser-analyzers/z-300 10.5880/GFZ.1.4.2019.003 10.5880/GFZ.1.4.2019.004 CC BY 4.0 The data set contains LIBS (Laser-Induced Breakdown Spectroscopy) emission spectra of 18 lithium-bearing minerals and their corresponding hyperspectral reflectance spectra. The data were collected within the research project LIGHTS (Lightweight Integrated Ground and Airborne Hyperspectral Topological Solutions, http://lights.univ-lorraine.fr/) which aims at developing a new exploration process for Li targets combining drone-borne hyperspectral data and field observations. Hyperspectral data were acquired with the HySpex system in a wavelength range of 414 - 2498 nm and are presented in a spectral library. Detailed information about the samples and area of spectral retrieval is presented in the data sheet below. The spectral library presented here expands the collection of spectral libraries including samples from rare-earth minerals, rare-earth-oxides (Koerting et al., 2019a) and copper-bearing minerals (Koellner et al., 2019) which are fully described in Koerting et al. (2021). These libraries aim to give a spectral overview of important resources and deposit mineralizations.

18 samples taken partly from the collections of the University of Potsdam (UP) and the Federal Institute for Geosciences and Natural Resources (BGR) and partly in the field during previous measurement campaigns were hyperspectrally measured and geochemically analysed by using a LIBS handheld analyzer. A description of the HySpex system in lab use can be found in Koerting et al. (2021).

The lithium-bearing mineral samples were measured without prior sample preparation as the surface of the minerals and the influence of the mineral structure were of interest (Figure 1). Figure 1 shows one HySpex scan of four lepidolite samples (Lep1, Lep2, Lep3, Lep4) displayed as a true color RGB image in order to show the untreated samples and the white reflectance (WR) panel needed for the hyperspectral measurements (WR 90%).

oai:doidb.wdc-terra.org:73702022-05-18T07:11:53ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.1.4.2022.007 Hildebrand, Constantin Constantin Hildebrand 0000-0003-3057-0621 GFZ German Research Centre for Geosciences, Potsdam, Germany Koellner, Nicole Nicole Koellner 0000-0002-4282-8979 GFZ German Research Centre for Geosciences, Potsdam, Germany Kaestner, Friederike Friederike Kaestner 0000-0003-2654-3866 GFZ German Research Centre for Geosciences, Potsdam, Germany Koerting, Friederike Friederike Koerting 0000-0002-0759-5655 GFZ German Research Centre for Geosciences, Potsdam, Germany Mielke, Christian Christian Mielke GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2022 Hyperspectral Imagery Imaging spectroscopy Mineral mapping 3D reconstruction non-ferrous metals EARTH SCIENCE > SOLID EARTH > ROCKS/MINERALS/CRYSTALS > IGNEOUS ROCKS > IGNEOUS ROCK PHYSICAL/OPTICAL PROPERTIES EARTH SCIENCE > SOLID EARTH > ROCKS/MINERALS/CRYSTALS > SEDIMENTARY ROCKS > SEDIMENTARY ROCK PHYSICAL/OPTICAL PROPERTIES Koellner, Nicole GFZ German Research Centre for Geosciences, Potsdam, Germany Dataset https://sciaps.com/libs-handheld-laser-analyzers/ 10.5194/isprsarchives-XL-7-1-2014 10.48440/gfz.b103-22036 CC BY 4.0 This data publication presents data from a solaroptical spectral investigation in the area of the Rammelsberg non-ferrous metal mine in the Harz Mountains near the city of Goslar. The investigation refers to the local communion stone quarry (“Kommunionssteinbruch”) above the former mining area. As this is a nature conservation zone, all measurements were carried out in-situ without any physical sampling action. The field measurements were carried out in June 2019 in cooperation with Bergbau Goslar GmbH and the German Research Centre for Geosciences (GFZ). The data were collected within the research project ReMon (Remote Monitoring of Tailings Using Satellites and Drones, https://www.gfz-potsdam.de/en/section/remote-sensing-and-geoinformatics/projects/remon/) which aims at developing a prototypical monitoring system for mine tailings by using different sensors scaling from satellite- to drone-based.

The data were analysed in the unpublished B.Sc. thesis of Constantin Hildebrand (Hildebrand, 2019). Sixteen different surface materials were determined and examined on-site. Point and imaging hyperspectral data were acquired (with the spectroradiometer PSR+ 3500 operating in the range of 350 - 2500 nm and with the Cubert FireflEYEUHD-185 hyperspectral camera with a range of 450 - 950 nm, respectively), both data sets are presented as spectral libraries. Chemical analyses of the samples were performed by using Laser-Induced Breakdown Spectroscopy (LIBS). LIBS data were collected using a handheld LIBS analyzer, the SciAps Z-300.

In this data publication the different in-situ measurements are presented for each of the sixteen samples. Detailed information about the analysed material, the area of spectral sampling and geochemical analyses are explained in this report and can also be found in the additional Excel® sheet provided with the data.
Study area at Rammelsberg Mine 10.4159 10.4285 51.8882 51.8927

oai:doidb.wdc-terra.org:74092022-07-15T08:56:55ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.3.1.2021.005 Webb, Peter Peter Webb 0000-0003-2467-5953 Formerly of the Department of Environment, Earth and Ecosystems, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK Wiedenbeck, Michael Michael Wiedenbeck GFZ German Research Centre for Geosciences, Potsdam, Germany Glodny, Johannes Johannes Glodny 0000-0002-7812-5933 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2021 G-Chron 2019 geochronology EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY Wiedenbeck, Michael GFZ German Research Centre for Geosciences, Potsdam, Germany Dataset 10.48440/GFZ.b103-21061 DOI of paper when available 10.1021/ac00238a002 10.1016/0012-821X(77)90060-7 CC BY 4.0 This data publication consists of two parts:
(1) the questionnaire for round 1 of the G-Chron proficiency test as provided to the participating laboratories via the on-line data submission portal, and
(2) the complete data set of submitted results.
The results of the survey are published as Scientific Technical Report - Data (STR 21/06, Webb et al., 2020).

The questionnaire is structured into distinct segments. The first “metadata segment” allowed each laboratory to report key parameters describing their analytical technique. This part was structured as five independent tracks based on laboratory technique: isotope dilution thermal ionization mass spectrometry (ID-TIMS), secondary ion mass spectrometry (SIMS), laser ablation inductively coupled sector field mass spectrometry (LA-ICP-MS: SF), laser ablation inductively coupled quadrupole / time-of-flight mass spectrometry (LA-ICP-MS: Quad&ToF), and “other”. When reporting results a given laboratory was to select a single one of these options and then was provided a series of questions relevant to that specific method. The second segment of the questionnaire was provided to all laboratories for them to submit their determined age results. The on-line portal required submission of the determined age and uncertainty for both the 206Pb/238U and 207Pb/206Pb chronometers. Submission of results for the 208Pb/232Th chronometer was optional.

Both the April 2020 report and the subsequent manuscript for publication are based on the table that forms the second part of this document. This contains both the reported age values and information about key aspects of each laboratory’s analytical method. In a small number of cases the input data were corrupted due to an apparent incompatibility between the data portal and the character set used by the submitting laboratory. Where the intent of the laboratory reporting was obvious these have been corrected. For two of the reporting laboratories there a software malfunction resulted in their submissions being classified as “other technique”. These data have now been reassigned to their correct technique categories, but the report has not been accordingly modified. All age values are in Ma. The software specified that uncertainty values should be reported as 1s or 1SE, depending on the nature of the value being addressed, though in a number of instances this instruction appears not to have been applied.

oai:doidb.wdc-terra.org:77802023-08-15T07:49:01ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.3.1.2022.004 Rieger, Philip Philip Rieger 0000-0001-7888-0077 iCRAG is the SFI Research Centre in Applied Geosciences, Dublin, Ireland GFZ German Research Centre for Geosciences, Potsdam, Germany Magnall, Joseph M. Joseph M. Magnall 0000-0002-7868-3038 GFZ German Research Centre for Geosciences, Potsdam, Germany Gleeson, Sarah A. Sarah A. Gleeson 0000-0002-5314-4281 GFZ German Research Centre for Geosciences, Potsdam, Germany Oelze, Marcus Marcus Oelze 0000-0002-3950-6629 Bundesanstalt für Materialforschung, Berlin, Germany GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2022 pyrite trace element geochemistry CD-type massive sulphide deposit SEDEX massive sulphide deposit hydrothermal alteration hydrothermal ore formation Proterozoic sedimentary basin Mount Isa George Fisher Carpentaria Province EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY Rieger, Philip GFZ German Research Centre for Geosciences, Potsdam, Germany Dataset 10.3389/feart.2023.892759 10.1039/C1JA10172B 10.1007/s00126-021-01056-1 10.1111/j.1751-908X.2007.00104.x CC BY 4.0 Trace element (TE) analysis of pyrite via LA-ICP-MS can produce large, paragenetically-constrained datasets, which can be used to reconstruct the conditions of pyrite formation in complex mineral systems. The Carpentaria province in northern Australia is host to some of the world’s highest value Zn-Pb (+Ag, Cu) deposits. The genesis of many of these deposits in the southern part of the province is controversial due to tectonic overprinting, with competing models of single- vs. multi-stage ore formation.

In this study, LA-ICP-MS analysis of pyrite from the George Fisher Zn-Pb-Ag deposit and correlative unmineralized host rocks has been combined with paragenetic and whole rock lithogeochemical data. Paragenetically constrained pyrite TE data were then evaluated in the context of single- vs. multi-stage ore formation models and compared with recent data from undeformed clastic-dominated (CD-type) deposits of the northern Carpentaria province. Pre-ore diagenetic pyrite is compositionally similar to other Proterozoic diagenetic pyrite, with some evidence of minor hydrothermal anomalism that could help define distal alteration, but requires further analysis. Pyrite from the different ore stages is compositionally distinct, consistent with a multi-stage system. Ore stage 1 pyrite has high concentrations of Cu, Zn, As, Ag, Sb, Tl, and Pb as well as high Co/Ni ratios, whereas ore stage 2 pyrite contains Ni and Co, and ore stage 3 pyrite is dominated by Co with lesser concentrations of Ni and Cu. Ore stage 1 pyrite has a similar composition to hydrothermal pyrite in the undeformed northern Carpentaria CD-type deposits and likely formed syn-diagenesis. Ore stage 2 was syn-deformation, and resulted in replacement and recrystallization of pre-existing pyrite that also resulted in the expulsion of incompatible TEs. Ore stage 3 formed via a later Cu mineralizing event that resulted in a new geochemically distinct generation of Co-rich pyrite. This study demonstrates the value of pargenetically-constrained pyrite TE data for refining genetic models in complex sediment hosted mineral systems.

This data publication includes pyrite trace element compositions (in ppm) of 28 samples from the un-mineralized Urquhart Shale Formation and from the George Fisher deposit. Access to drill cores was granted by Mount Isa Mines (MIM) George Fisher operation and Mount Isa Mines Resource Development.
George Fisher deposit (Mount Isa, Australia)

oai:doidb.wdc-terra.org:78382024-02-14T19:07:32ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.1.4.2023.003 Brell, Maximilian Maximilian Brell 0000-0002-3759-7483 GFZ German Research Centre for Geosciences, Potsdam, Germany Roessner, Sigrid Sigrid Roessner 0000-0002-6940-9694 GFZ German Research Centre for Geosciences, Potsdam, Germany Dietze, Michael Michael Dietze 0000-0001-6063-1726 Georg-August-University, Göttingen, Germany Bell, Rainer Rainer Bell University of Bonn, Bonn, Germany Magnussen, Sylvia Sylvia Magnussen GFZ German Research Centre for Geosciences, Potsdam, Germany Schreck, Dana Dana Schreck MILAN Geoservice GmbH, Spremberg, Germany Jany, Sven Sven Jany MILAN Geoservice GmbH, Spremberg, Germany Ozturk, Ugur Ugur Ozturk 0000-0002-7641-4344 GFZ German Research Centre for Geosciences, Potsdam, Germany Merz, Bruno Bruno Merz 0000-0002-5992-1440 GFZ German Research Centre for Geosciences, Potsdam, Germany Thieken, Annegret Annegret Thieken 0000-0001-7068-2615 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2023 Airborne Laser Scanning ALS Orthophoto Eifel Flood 2021 Disaster mapping EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > FLOODS Brell, Maximilian Maximilian Brell 0000-0002-3759-7483 GFZ German Research Centre for Geosciences, Potsdam, Germany Brell, Maximilian Maximilian Brell 0000-0002-3759-7483 GFZ German Research Centre for Geosciences, Potsdam, Germany Brell, Maximilian Maximilian Brell 0000-0002-3759-7483 GFZ German Research Centre for Geosciences, Potsdam, Germany Roessner, Sigrid Sigrid Roessner 0000-0002-6940-9694 GFZ German Research Centre for Geosciences, Potsdam, Germany Dietze, Michael Michael Dietze 0000-0001-6063-1726 Georg-August-University, Göttingen, Germany Dietze, Michael Michael Dietze 0000-0001-6063-1726 Georg-August-University, Göttingen, Germany Bell, Rainer Rainer Bell University of Bonn, Bonn, Germany Schreck, Dana Dana Schreck MILAN Geoservice GmbH, Spremberg, Germany Jany, Sven Sven Jany MILAN Geoservice GmbH, Spremberg, Germany Ozturk, Ugur Ugur Ozturk 0000-0002-7641-4344 GFZ German Research Centre for Geosciences, Potsdam, Germany Brell, Maximilian GFZ German Research Centre for Geosciences, Potsdam, Germany Magnussen, Sylvia Dataset 10.5194/nhess-22-3005-2022 10.5194/nhess-14-279-2014 10.5194/nhess-22-1845-2022 https://www.dwd.de/DE/leistungen/besondereereignisse/niederschlag/ https://www.worldweatherattribution.org/wp-content/uploads/Scientific-report-Western-Europe-floods-2021-attribution.pdf 10.1002/hyp.1456 10.5194/nhess-23-973-2023 https://www.hywa-online.de/?p=5910# https://gfzpublic.gfz-potsdam.de/pubman/item/item_5022148 CC BY 4.0 The GFZ Potsdam HART (Hazard and Risk Team) in cooperation with the DFG research training group 2043 NatRiskChange at Potsdam University has enabled the acquisition of Airborne Laser Scanning (ALS) and high-resolution optical data which were acquired between 22 September 2021 and 24 October 2021 by the Milan Geoservice company, Spremberg, Germany. This data acquisition took place in the Eifel regions of North Rhine-Westphalia (NRW) and Rhineland-Palatinate (RLP), which were hit by the 14 July 2021 precipitation event leading to widespread severe inundations, flash floods and caused around 185 victims and massive damage to settlements, river geometry and other geomorphic features. The high-resolution ALS and optical data acquisitions aimed at the documentation and quantification of the extent of flood related changes and destructions as well as their reappraisal before diffusion erases traces. Thus, the generated data are valuable for forensic event analysis and future attempts on flood forecasting and warning in the context of scientific and practical purposes.
Eifel Flood 2021 - area of Airborne Laser Scanning (ALS) and Orthophoto data 6.37195 7.3121 50.1868 50.7155

oai:doidb.wdc-terra.org:66512024-05-15T11:59:30ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.GRAVIS_06_C20_SLR König, Rolf Rolf König 0000-0002-7155-6976 GFZ German Research Centre for Geosciences, Potsdam, Germany Schreiner, Patrick Patrick Schreiner GFZ German Research Centre for Geosciences, Potsdam, Germany Dahle, Christoph Christoph Dahle 0000-0002-4733-9242 GFZ German Research Centre for Geosciences, Potsdam, Germany Monthly estimates of C(2,0) generated by GFZ from SLR satellites based on GFZ GRACE/GRACE-FO RL06 background models GFZ Data Services 2019 Earth flattening SLR Satellite Laser Ranging Gravity Recovery And Climate Experiment (GRACE) GRACE-FO Gravitational Field GSM Geopotential Gravity Field Time Variable Gravity Satellite Geodesy EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITATIONAL FIELD EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITY eng Dataset 10.5880/GFZ.GRACE_06_GSM 1 Files application/octet-stream 1.0 CC BY 4.0 As a convenience to users who wish to use a replacement value for C(2,0) of GFZ's GRACE/GRACE-FO RL06 GSM products, a monthly GFZ C(2,0) estimate time series is provided. These estimates are obtained from the analysis of Satellite Laser Ranging (SLR) data to the following five geodetic satellites: LAGEOS-1 and 2, Starlette, Stella and Ajisai. Starting from March 2012, the LARES satellite is added so that six geodetic satellites are included. The individual satellites are combined on normal equation level using relative weights which are based on a variance component estimation. Gravity field coefficients up to degree and order 5 plus coefficients C(6,1) and S(6,1) have been simultaneously solved together with all other (non-gravity) parameters. The background models used in the SLR analysis is consistent with the GFZ GRACE/GRACE-FO RL06 processing, including the use of the same Atmosphere-Ocean De-aliasing product AOD1B RL06. IMPORTANT REMARKS: It is advised to use these estimates to replace the C(2,0) values from the GFZ RL06 GSM files. These estimates are not intended to be used with the GRACE RL05 or earlier products. This data set is regularly updated in order to extend the time series on an operational basis. As long as the version number has not changed, all previously available data records have not been changed! See line 'UPDATE HISTORY' in the header of the data file for details about the current time span and version. SPECIAL NOTES: C(2,0) estimates are provided continuously for each month. However, the SLR data was processed in 7-day batches aligned to GPS weeks. Several weekly SLR normal equations were then accumulated to obtain a monthly solution; GPS weeks covering two calendar months were assigned to that calendar month where the majority of days within the week belong to. Thus, the beginning date for these 'monthly' solutions does not necessarily match the first day of a calendar month, but will be within a few days of that corresponding date. Moreover, in most cases, a different number of days was used for the SLR solution than for the corresponding GRACE/GRACE-FO solution. For particular periods, the GRACE/GRACE-FO solutions might span significantly less than one month or cover more than one calendar month. In these cases, a specially dedicated SLR estimate was generated which is based on approximately the same interval so that the epoch of the SLR estimate is close to the epoch of the GRACE/GRACE-FO solution. To distinguish the different cases of C(2,0) estimates mentioned above (monthly vs. specially dedicated) and to easily recognize whether a C(2,0) estimate matches an existing GRACE/GRACE-FO solution, the following flags are appended to each data record:- ' m': C(2,0) estimate represents a monthly solution for a month where no GRACE/ GRACE-FO solution is available.- 'Gm': C(2,0) estimate represents a monthly solution and a corresponding GRACE/ GRACE-FO solution is available.- 'G*': C(2,0) estimate is specially dedicated for a GRACE/GRACE-FO solution as described above; the effective period of data used is additionally provided by a string '<yymmdd>_<YYMMDD>'.

oai:doidb.wdc-terra.org:67532025-03-13T14:53:37ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.2.3.2019.006 Rother, Martin Martin Rother GFZ German Research Centre for Geosciences, Potsdam, Germany Michaelis, Ingo Ingo Michaelis GFZ German Research Centre for Geosciences, Potsdam, Germany CH-ME-2-FGM-SCI - CHAMP 50 Hz Magnetic Field Vector Time Series in Sensor- and ECEF-(NEC)-System (Level 2) GFZ Data Services 2019 CHAMP magnetic field vector data level 2 Earth Observation Satellites > CHAMP Earth Remote Sensing Instruments > Passive Remote Sensing > Positioning/Navigation > ACS Earth Remote Sensing Instruments > Passive Remote Sensing > Magnetic Field/Electric Field Instruments > MAGNETOMETERS Solar/Space Observing Instruments > Magnetic Field/Electric Field Instruments > FGM EARTH SCIENCE > SOLID EARTH > GEOMAGNETISM > MAGNETIC FIELD Rother, Martin Martin Rother GFZ German Research Centre for Geosciences, Potsdam, Germany Michaelis, Ingo Ingo Michaelis GFZ German Research Centre for Geosciences, Potsdam, Germany Michaelis, Ingo Ingo Michaelis GFZ German Research Centre for Geosciences, Potsdam, Germany Rauberg, Jan Jan Rauberg GFZ German Research Centre for Geosciences, Potsdam, Germany 2000/2010 en 10.2312/GFZ.b103-19104 https://isdc.gfz-potsdam.de/champ-isdc/ 1 Files application/octet-stream CC BY 4.0 Earth's magnetic field vector time series from `LEO' satellite 'CHAMP' for the 'CHAMP' mission period in high, unaveraged 50 Hz time resolution, using measurements from the FGM vector magnetometers and `ASC' Star Sensors on the mid-boom optical bench. The vector data are corrected and calibrated (by using the Overhauser scalar magnetometer as reference). The magnetic field vector data are given both in the satellite-bound sensor (`FGM') system and in the Earth Centered Earth Fixed local `NEC' (North-East-Center) system. For the latter the attitude time series (`ASC'), processed and cleaned, represented by quaternions describing the satellite attitude related to the celestial system, were used for the transformation. The files with daily time coverage are in the (binary and self-describing) `CDF' file format and accompanied, beside the `CDF'-format generic timestamp, by the satellite's geocentric positions and utility information like quality flags. The full product and format descriptions are provided in the associated Scientific Technical Report - Data (GFZ Section 2.3, 2019. http://doi.org/10.2312/GFZ.b103-19104). CHAMP (CHAllenging Minisatellite Payload) was a German small satellite mission for geoscientific and atmospheric research and applications, managed by GFZ . With its highly precise, multifunctional and complementary payload elements (Overhauser scalar magnetometer (OVM) and Fluxgate vector magnetometer (FGM), accelerometer, star sensor (ASC), GPS receiver, laser retro reflector, ion drift meter) and its orbit characteristics (near polar, low altitude, long duration) CHAMP generated highly precise gravity and magnetic field measurements simultaneously for the first time and over a 10 years period. CHAMP launched by a Russian COSMOS launch vehicle on July 15, 2000 and an initial altitude of 454 km. The mission ended on September 19 2010 after ten years, two month and four days, or after 58277 orbits. -180 180 -90 90 Helmholtz-Gemeinschaft http://doi.org/10.13039/501100001656

oai:doidb.wdc-terra.org:81212025-03-27T16:41:42ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.3.6.2024.001 Nikolenko, Anna M. Anna M. Nikolenko 0000-0003-4731-9134 GFZ German Research Centre for Geosciences, Potsdam, Germany Institute of Geosciences, University of Potsdam, Potsdam, Germany Schmidt, Christian Christian Schmidt GFZ German Research Centre for Geosciences, Potsdam, Germany Sieber, Melanie J. Melanie J. Sieber 0000-0001-6166-0094 GFZ German Research Centre for Geosciences, Potsdam, Germany Institute of Geosciences, University of Potsdam, Potsdam, Germany Van Schijndel, Valby Valby Van Schijndel 0000-0002-2823-8200 GFZ German Research Centre for Geosciences, Potsdam, Germany Veksler, Ilya V. Ilya V. Veksler 0000-0002-9692-363X GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2024 experimental petrology alkaline silicate melts zirconium eudialyte EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY > GEOCHEMICAL PROPERTIES Nikolenko, Anna M. Anna M. Nikolenko 0000-0003-4731-9134 GFZ German Research Centre for Geosciences, Potsdam, Germany Institute of Geosciences, University of Potsdam, Potsdam, Germany Nikolenko, Anna M. Anna M. Nikolenko 0000-0003-4731-9134 GFZ German Research Centre for Geosciences, Potsdam, Germany Institute of Geosciences, University of Potsdam, Potsdam, Germany Van Schijndel, Valby Valby Van Schijndel 0000-0002-2823-8200 GFZ German Research Centre for Geosciences, Potsdam, Germany EleMap - Elemental mapping by LA-ICP-MS GFZ German Research Centre for Geosciences, Potsdam, Germany Institute of Geosciences, University of Potsdam, Potsdam, Germany Nikolenko, Anna M. Dataset 10.1111/j.1751-908X.2011.00120.x 10.1016/j.earscirev.2017.06.002 10.1039/C1JA10172B 10.1016/j.lithos.2008.07.018 10.1016/j.lithos.2024.107839 CC BY 4.0 Eudialyte and eudialyte-group minerals (EGM) are unique tracers of peralkaline silica-undersaturated melts. They receive global interest as potential resources for high-field-strength elements (HFSE) (e. g. Zr, Nb, Ta, and rare-earth elements; REE), i. e. critical materials for modern technologies. The main condition for magmatic crystallization of eudialyte and EGM is that the concentration of Zr in parental melt should reach the saturation level. Thus, the solubility of eudialyte was studied in the system at temperatures between 750 and 1000 °C and pressures of 100 and 200 MPa. Liquid phases in run products are eudialyte, parakeldyshite and albite. Eudialyte is stable between 750 and 900 °C, and decomposes to parakeldyshite between 900 and 1000°C. Eudialyte crystallization in dry peralkaline silica-undersaturated melt at 750 and -850 °C requires minimum 0.2-0.22 wt.% ZrO2 in the melt. In melts with high amounts of dissolved H2O the saturation level in within the same temperature interval is much higher, at 1.1-2.85 wt.% ZrO2. Thus, peralkaline melts should be dry to crystallize EGM at ZrO2 concentrations between 0.2 and 0.3 wt.%.
LA-ICP-MS results show that REEs and HFSEs are strongly compatible with eudialyte as the eudialyte-melt distribution coefficients (D) vary from 2 to 90. Light REEs and especially La tend to have lower D values than heavy REEs. The data reflect that the concentrations of REEs and HFSEs in the eudialyte solid solution are mainly determined by the Zr concentrations in the melt: the lowest partition coefficients are observed in experiments with the highest eudialyte solubility, i.e., in experiments at high temperature and with H2O content
This data report is the supplement to the publication (Nikolenko et al., 2024, in prep.). This study presents a combined experimental research, EPMA and LA ICP-MS studies. This document describes the LA-ICP-MS analytical methods, sample preparation and the in-situ LA-ICP-MS element composition of eudialyte and peralkaline silica-undersaturated melts.
Eudialyte, which was used in experiments is a natural mineral, that had been collected from a pegmatite body on mount Eveslogchorr in the Khibina Massif, Kola Peninsula, Russia. Eudialyte crystals were crushed in a mortar and clear, inclusion-free fragments were hand-picked under a binocular.
Three synthetic glasses with variable Na-Al molar ratios were prepared from finely ground mixtures of silica (p.a., Merck®), aluminium oxide (γ-phase, 99.97%, 3 μm powder, Alfa Aesar®), and sodiumcarbonate (anhydrous, p.a., Merck®). The glasses were synthesized by sintering starting mixtures in a platinum crucible first at 900 °C for 1 hour, then crushing of the sintered material and remelting it two or three times at 1100-1200 °C for about 2 hours, with intermediate quenching in cold water and grinding the crushed glass fragments to the grain size of less than 1 mm.
Mixtures of the Khibina eudialyte and one of the synthetic glasses were ground in agate mortar to fine powders under acetone, dried at 100 °C for 2 hours, loaded into platinum capsules (outer and inner diameters 4.4 and 4.0 mm respectively) and welded shut. In some runs, distilled water (Merck, Suprapur®) was added to the starting charges before welding.

Khibina Massif, Kola Peninsula, Russia Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659 SCHM2415/7-1

oai:doidb.wdc-terra.org:76652025-07-22T10:21:57ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/nerograv.2023.001 Murböck, Michael Michael Murböck 0000-0002-4108-578X Technical University Berlin, Berlin, Germany GFZ German Research Centre for Geosciences, Potsdam, Germany Flechtner, Frank Frank Flechtner 0000-0002-3093-5558 Technical University Berlin, Berlin, Germany GFZ German Research Centre for Geosciences, Potsdam, Germany Abrykosov, Petro Petro Abrykosov 0000-0002-7316-2583 Technical University München. Munich, Germany Pail, Roland Roland Pail 0000-0002-4364-4012 Technical University München. Munich, Germany GFZ Data Services 2023 Flechtner, Frank GFZ German Research Centre for Geosciences, Potsdam, Germany Dataset 10.3390/rs15030563 CC BY 4.0 This data publication represents the main outcomes of WP4.100 of Individual Project IP4 and of the Deliverable D4.1 of the research unit NEROGRAV summarizing the analyses of the GRACE and GRACE-FO accelerometer (ACC) and satellite-to-satellite tracking data (Microwave instrument (MWI) or Laser Ranging Interferometer (LRI)) in order to derive a characterization of the instrument performance and a stochastic model. A detailed description and discussion focusing on the GRACE data is given in Murböck et al. (submitted to Remote Sensing).

This first version of the combined ACC+MWI/LRI noise models is provided with the ASCII-file NEROGRAV_Dataset_GRACE_GRACE-FO_ACC-MWI-LRI_StochasticModel_V01.dat containing header information (17 lines) and the square root power spectral densities (PSDs), i.e. the amplitude spectral densities (ASDs) for the combined accelerometer and ranging observations in terms of range-rates (cf. Fig. 1). It is given for 21600 frequencies from 1/86400 Hz up to 0.25 Hz. Above 0.1 Hz (Nyquist frequency of the 5 s sampled MWI data) the columns for the ACC+MWI models are zero. The five columns consist of the frequency in Hz (col. 1), the combined ACC+MWI models for GRACE 2007 (col. 2), GRACE 2014 (col. 3), GRACE-FO 2019 (col. 4) and the combined GRACE-FO 2019 ACC+LRI model (col. 5) in m/s/√Hz.
-180 180 -90 90

oai:doidb.wdc-terra.org:67522025-10-07T08:48:27ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.2.3.2019.004 Rother, Martin Martin Rother 0009-0007-0355-8551 GFZ German Research Centre for Geosciences, Potsdam, Germany Rauberg, Jan Jan Rauberg 0000-0002-7752-9960 GFZ German Research Centre for Geosciences, Potsdam, Germany Michaelis, Ingo Ingo Michaelis 0000-0001-9741-4063 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2019 CHAMP magnetic field time series combined product level 3 Earth Observation Satellites > CHAMP Earth Remote Sensing Instruments > Passive Remote Sensing > Magnetic Field/Electric Field Instruments > MAGNETOMETERS Earth Remote Sensing Instruments > Passive Remote Sensing > Positioning/Navigation > ACS EARTH SCIENCE > SOLID EARTH > GEOMAGNETISM > MAGNETIC FIELD Solar/Space Observing Instruments > Magnetic Field/Electric Field Instruments > FGM Rother, Martin Martin Rother 0009-0007-0355-8551 GFZ German Research Centre for Geosciences, Potsdam, Germany Rauberg, Jan Jan Rauberg 0000-0002-7752-9960 GFZ German Research Centre for Geosciences, Potsdam, Germany Michaelis, Ingo Ingo Michaelis 0000-0001-9741-4063 GFZ German Research Centre for Geosciences, Potsdam, Germany Rauberg, Jan Jan Rauberg GFZ German Research Centre for Geosciences, Potsdam, Germany Stolle, Claudia GFZ German Research Centre for Geosciences, Potsdam, Germany Stolle, Claudia GFZ German Research Centre for Geosciences, Potsdam, Germany 2000/2010 Dataset 10.2312/GFZ.b103-19104 https://isdc.gfz-potsdam.de/champ-isdc/ CC BY 4.0 This is a Level 3 data daily file product from various scientific and utility sensors on board of the `LEO' satellite 'CHAMP' with magnetic field data given by a time resolution of 1 Hz. Thise Level 3 data type is build to hold and merge finally corrected data, focusing on mature data calibration and corrections -- as well as internal consistency. This Level 3 data product is intended to supersede the various Level 2 versions with calibrated magnetic field readings from the CHAMP mission distributed hitherto and should be fitted for scientific use, assembling time series of scalar magnetic field values (but not directly readings from the scalar Overhauser sensor), vector magnetic field data from the boom-mounted Fluxgate 'FGM' sensors and attitude data from the ('ASC') boom-mounted Star Cameras. The vector data are given both in the satellite-bound sensor ('FGM') system and the Earth Centered Earth Fixed local 'NEC' (North-East-Center) system. The attitude time series, processed and cleaned, are represented by quaternions describing the satellite attitude related to the celestial system. The readings of the scalar OVM (Overhauser) absolute magnetometer at the top of the boom are not supplied directly, but were used during calibration of the vector magnetometer readings. The files with daily time coverage are in the (binary and self-describing) 'CDF' file format and accompanied, beside the generic 'CDF'-format timestamp, by the satellite's geocentric positions and utility information like quality flags.

The full product and format descriptions are provided in the associated Scientific Technical Report - Data (GFZ Section 2.3, 2019. https://doi.org/10.2312/GFZ.b103-19104).

----------
13 March 2025: addition of Jan Rauberg as co-author
CHAMP (CHAllenging Minisatellite Payload) was a German small satellite mission for geoscientific and atmospheric research and applications, managed by GFZ. With its highly precise, multifunctional and complementary payload elements (Overhauser scalar magnetometer (OVM) and Fluxgate vector magnetometer (FGM), accelerometer, star sensor (ASC), GPS receiver, laser retro reflector, ion drift meter) and its orbit characteristics (near polar, low altitude, long duration) CHAMP generated highly precise gravity and magnetic field measurements simultaneously for the first time and over a 10 years period. CHAMP launched by a Russian COSMOS launch vehicle on July 15, 2000 and an initial altitude of 454 km. The mission ended on September 19 2010 after ten years, two month and four days, or after 58277 orbits.
-180 180 -90 90

oai:doidb.wdc-terra.org:67502025-10-07T08:50:03ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.2.3.2019.005 Rother, Martin Martin Rother 0009-0007-0355-8551 GFZ German Research Centre for Geosciences, Potsdam, Germany Michaelis, Ingo Ingo Michaelis 0000-0001-9741-4063 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2019 CHAMP ASC star sensor Earth Observation Satellites > CHAMP Earth Remote Sensing Instruments > Passive Remote Sensing > Magnetic Field/Electric Field Instruments > MAGNETOMETERS Earth Remote Sensing Instruments > Passive Remote Sensing > Positioning/Navigation > ACS EARTH SCIENCE > SOLID EARTH > GEOMAGNETISM > MAGNETIC FIELD Solar/Space Observing Instruments > Magnetic Field/Electric Field Instruments > FGM Rother, Martin Martin Rother 0009-0007-0355-8551 GFZ German Research Centre for Geosciences, Potsdam, Germany Michaelis, Ingo Ingo Michaelis 0000-0001-9741-4063 GFZ German Research Centre for Geosciences, Potsdam, Germany Rauberg, Jan Jan Rauberg GFZ German Research Centre for Geosciences, Potsdam, Germany Stolle, Claudia GFZ German Research Centre for Geosciences, Potsdam, Germany 2000/2010 Dataset 10.2312/GFZ.b103-19104 https://isdc.gfz-potsdam.de/champ-isdc/ CC BY 4.0 Time series of processed, cleaned attitude readings in quaternion format of the two boom-mounted 'ASC' star sensors of the 'LEO' satellite 'CHAMP', describing the satellite system attitude in respect to the celestial background. The nominal time resolution of the time series in the 'ASCII'-file listing is 1 Hz.


The full product and format descriptions are provided in the associated Scientific Technical Report - Data 19/10 (GFZ Section 2.3, 2019. https://doi.org/10.2312/GFZ.b103-19104).
CHAMP (CHAllenging Minisatellite Payload) was a German small satellite mission for geoscientific and atmospheric research and applications, managed by GFZ . With its highly precise, multifunctional and complementary payload elements (Overhauser scalar magnetometer (OVM) and Fluxgate vector magnetometer (FGM), accelerometer, star sensor (ASC), GPS receiver, laser retro reflector, ion drift meter) and its orbit characteristics (near polar, low altitude, long duration) CHAMP generated highly precise gravity and magnetic field measurements simultaneously for the first time and over a 10 years period. CHAMP launched by a Russian COSMOS launch vehicle on July 15, 2000 and an initial altitude of 454 km. The mission ended on September 19, 2010, after ten years, two month and four days, or after 58277 orbits.
-180 180 -90 90

oai:doidb.wdc-terra.org:67512025-10-07T08:51:22ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.2.3.2019.007 Rother, Martin Martin Rother 0009-0007-0355-8551 GFZ German Research Centre for Geosciences, Potsdam, Germany Rauberg, Jan Jan Rauberg 0000-0002-7752-9960 GFZ German Research Centre for Geosciences, Potsdam, Germany Michaelis, Ingo Ingo Michaelis 0000-0001-9741-4063 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2019 CHAMP Electron density electron temperature time series Earth Observation Satellites > CHAMP Earth Remote Sensing Instruments > Passive Remote Sensing > Positioning/Navigation > ACS EARTH SCIENCE > SOLID EARTH > GEOMAGNETISM > ELECTRICAL FIELD Solar/Space Observing Instruments > Magnetic Field/Electric Field Instruments > FGM Rother, Martin Martin Rother 0009-0007-0355-8551 GFZ German Research Centre for Geosciences, Potsdam, Germany Rauberg, Jan Jan Rauberg GFZ German Research Centre for Geosciences, Potsdam, Germany Stolle, Claudia GFZ German Research Centre for Geosciences, Potsdam, Germany 2000/2010 Dataset 10.2312/GFZ.b103-19104 https://isdc.gfz-potsdam.de/champ-isdc/ CC BY 4.0 Electron density and electron temperature time series from 'LEO' satellite 'CHAMP' for the CHAMP mission period at satellite position in low time resolution of 15 second and given in daily files. This are processed readings from the Planar Langmuir probe, which, in normal flight mode, was exposed in flight direction at the front of the `CHAMP' satellite body. The files are formatted as simple 'ASCII'-listings with white-space delimited columns.

The full product and format descriptions are provided in the associated Scientific Technical Report - Data (GFZ Section 2.3, 2019. http://doi.org/10.2312/GFZ.b103-19104).

----------
13 March 2025: addition of Jan Rauberg as co-author

CHAMP (CHAllenging Minisatellite Payload) was a German small satellite mission for geoscientific and atmospheric research and applications, managed by GFZ . With its highly precise, multifunctional and complementary payload elements (Overhauser scalar magnetometer (OVM) and Fluxgate vector magnetometer (FGM), accelerometer, star sensor (ASC), GPS receiver, laser retro reflector, ion drift meter) and its orbit characteristics (near polar, low altitude, long duration) CHAMP generated highly precise gravity and magnetic field measurements simultaneously for the first time and over a 10 years period. CHAMP launched by a Russian COSMOS launch vehicle on July 15, 2000 and an initial altitude of 454 km. The mission ended on September 19 2010 after ten years, two month and four days, or after 58277 orbits.
-180 180 -90 90

oai:doidb.wdc-terra.org:85482025-10-13T23:18:20ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.KHAG.2025.004 Kalantar, Alireza Alireza Kalantar 0009-0009-3252-2499 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Hofmann, Hannes Hannes Hofmann 0000-0003-0778-6141 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Ji, Yinlin Yinlin Ji 0000-0001-9787-7164 School of Earth Science and Engineering, Nanjing University, China Blöcher, Guido Guido Blöcher 0000-0002-8589-9742 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Muhl, Lena Lena Muhl 0000-0002-7304-8676 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Zang, Arno Arno Zang 0000-0001-7670-5152 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany GFZ Data Services 2025 hydraulic shearing treatments fracture permeability fracture type Enhanced Geothermal Systems (EGS) shear-flow test self-propping granodiorite Permeability Roughness > Root Mean Square Triaxial Kalantar, Alireza Alireza Kalantar 0009-0009-3252-2499 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Kalantar, Alireza Alireza Kalantar 0009-0009-3252-2499 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Kalantar, Alireza Alireza Kalantar 0009-0009-3252-2499 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Kalantar, Alireza Alireza Kalantar 0009-0009-3252-2499 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Kalantar, Alireza Alireza Kalantar 0009-0009-3252-2499 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Kalantar, Alireza Alireza Kalantar 0009-0009-3252-2499 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Hofmann, Hannes Hannes Hofmann 0000-0003-0778-6141 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Hofmann, Hannes Hannes Hofmann 0000-0003-0778-6141 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Ji, Yinlin Yinlin Ji 0000-0001-9787-7164 School of Earth Science and Engineering, Nanjing University, China Ji, Yinlin Yinlin Ji 0000-0001-9787-7164 School of Earth Science and Engineering, Nanjing University, China Blöcher, Guido Guido Blöcher 0000-0002-8589-9742 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Muhl, Lena Lena Muhl 0000-0002-7304-8676 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Zang, Arno Arno Zang 0000-0001-7670-5152 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Mechanical Testing System Laboratory (GFZ Helmholtz Centre for Geosciences, Germany) https://labinfrastructure.geo-x.net/laboratories/96 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Kalantar, Alireza GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Dataset 10.1029/2025JB031938 10.1016/j.ijrmms.2023.105512 10.1016/j.earscirev.2021.103916 10.1007/s00603-022-02797-9 10.1029/2022GL100418 10.1029/2023GL104662 10.5880/GFZ.4.8.2022.016 10.1029/2018JB016045 CC BY 4.0 Enhanced Geothermal Systems (EGS) utilize artificially induced fracture networks to enable fluid circulation and heat extraction from high-temperature, low-permeability geological formations. Unlike conventional hydraulic fracturing in the hydrocarbon industry—which commonly employs proppants to keep fractures open—EGS stimulation primarily relies on hydraulic shear stimulation. This technique leverages the self-propping behavior of pre-existing fractures, eliminating the need for proppants. To replicate hydraulic shear stimulation in a controlled laboratory setting, we conducted shear-flow experiments on various fracture types, including shear fractures, tensile fractures, and saw-cut fractures. Most previous studies have focused on tensile and saw-cut fractures, typically treating them as idealized representations of smooth or rough fracture surfaces. However, shear fractures—due to their naturally formed characteristics—offer a more realistic simulation of in-situ conditions and better represent pre-existing fractures in the field. To evaluate fracture surface roughness, we employed a 3D laser scanner. The digitized surface data, captured both before and after the shear-flow tests, were recorded in .CSV files for subsequent analysis.
Study area 8.65729 8.67797 49.6395 49.6448 Helmholtz Association http://dx.doi.org/10.13039/501100009318 VH-NG-1516 Helmholtz Young Investigator Group ARES

oai:doidb.wdc-terra.org:68472026-02-25T07:47:36ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.3.1.2020.002 Codeço, Marta S. Marta S. Codeço 57195357716 GFZ German Research Centre for Geosciences, Potsdam, Germany Weis, Philipp Philipp Weis 0000-0001-8912-0735 GFZ German Research Centre for Geosciences, Potsdam, Germany Trumbull, Robert B. Robert B. Trumbull 0000-0002-1999-4653 GFZ German Research Centre for Geosciences, Potsdam, Germany van Hinsberg, Vincent Vincent van Hinsberg 0000-0003-3288-2610 Department of Earth and Planetary Sciences, McGill University, Montreal, Canada Pinto, Filipe Filipe Pinto 0000-0002-5727-7751 Beralt Tin & Wolfram (Portugal) S.A., Covilha, Barroca Grande, Portugal Lecumberri-Sanchez, Pilar Pilar Lecumberri-Sanchez 0000-0001-5674-9203 Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Canada Schleicher, Anja Maria Anja Maria Schleicher 12243179500 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2020 Geochemistry hydrothermal alteration whole-rock chemistry tourmaline white mica muscovite LA-ICP-MS trace elements Panasqueira magmatic-hydrothermal systems DOME SPP 2238 EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY > GEOCHEMICAL PROPERTIES > CHEMICAL CONCENTRATIONS EARTH SCIENCE > SOLID EARTH > ROCKS/MINERALS/CRYSTALS > IGNEOUS ROCKS > IGNEOUS ROCK PHYSICAL/OPTICAL PROPERTIES > COMPOSITION/TEXTURE EARTH SCIENCE > SOLID EARTH > ROCKS/MINERALS/CRYSTALS > METAMORPHIC ROCKS > METAMORPHIC ROCK PHYSICAL/OPTICAL PROPERTIES > COMPOSITION/TEXTURE EARTH SCIENCE > SOLID EARTH > ROCKS/MINERALS/CRYSTALS > MINERALS > MINERAL PHYSICAL/OPTICAL PROPERTIES > COMPOSITION/TEXTURE Jung, Anna Anna Jung Department of Earth and Planetary Sciences, McGill University, Montreal, Canada Rothe, Heike Heike Rothe GFZ German Research Centre for Geosciences, Potsdam, Germany Elger, Kirsten Kirsten Elger 0000-0001-5140-8602 GFZ German Research Centre for Geosciences, Potsdam, Germany Gottsche, Andrea Andrea Gottsche GFZ German Research Centre for Geosciences, Potsdam, Germany Codeço, Marta S. GFZ German Research Centre for Geosciences, Potsdam, Germany Dataset 10.1007/s00126-020-00984-8 https://dspace.library.uu.nl/handle/1874/237317 10.5382/econgeo.2019.4625 10.1016/j.chemgeo.2017.07.011 10.1111/j.1751-908X.2001.tb00616.x 10.1111/j.1751-908X.2015.00392.x 10.2113/gsecongeo.74.8.1721 10.1016/S0016-7037(00)00459-2 10.2113/gsecongeo.84.5.1134 10.1111/j.1751-908X.2006.tb00910.x http://hdl.handle.net/10400.9/2241 10.1016/j.gr.2009.09.004 CC BY 4.0 Analyzing the chemical composition of rocks and minerals is an important tool for exploring and understanding mineral resources. Typically, hydrothermal ore deposits are characterized by primary alteration halos. At the world-class Panasqueira W-Sn-Cu deposit, the hydrothermal alteration of the wall rocks produced concentric zones with progressively greater distance from the veins, consisting of a proximal tourmaline-quartz-muscovite zone and a distal muscovite-quartz zone.

Panasqueira is a world-class W-Sn-Cu lode-type deposit located in the Castelo Branco district (Beira Baixa, central Portugal). The ore deposit consists of a swarm of sub-horizontal veins associated with a Late-Variscan S-type granite and enclosed by a metasedimentary unit of Late Ediacaran to Early Cambrian age (e.g., Kelly and Rye, 1979; Romão et al., 2013).

The veins are mainly composed of gangue quartz, muscovite and minor carbonates, apatite, topaz,  topaz, fluorite, tourmaline, rutile, ilmenite, arsenopyrite, sphalerite, pyrite, marcasite, stannite, and pyrrhotite. Mineralization of wolframite, chalcopyrite, and cassiterite is predominantly hosted in veins with minor stringers and lenses of sulfide minerals in the wall rocks (e.g., Kelly and Rye, 1979; Polya, 1989; Polya et al., 2000). Although there is a strong variation in the vein mineralogy, typically, the quartz vein-filling is rimmed by a muscovite selvage up to 4-5 cm thick. The hydrothermal alteration produced a 2 to 30 cm thick tourmaline-rich alteration halo in the metasedimentary host rock (Bussink, 1984).

Tourmaline and mica are ubiquitous minerals at Panasqueira W-Sn-Cu and coexist in many other hydrothermal ore deposits worldwide. Both minerals are well-known to host variable amounts of trace elements and to have potential as pathfinder minerals as well as fluid monitors.

We analyzed major, minor and trace element contents of altered and unaltered metasediments from the Panasqueira by XRF and ICP-MS and tourmaline and white mica major, minor and trace element compositions by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) in previously well-characterized samples from different locations/setting in the mine (greisen, vein-selvages, wall-rock alteration zones, fault zone, and late vugs).

The analyzed samples are described by Codeço et al. (2017), Codeço et al. (2019), and Codeço et al. 2020). These studies discuss the chemical (major, minor, and trace elements) and boron-isotopic compositions of tourmaline and white mica, and whole-rock chemistry of altered and unaltered metasediments. Further details on sample description can be found in the folder "2020-002_Codeco-et-al_Samples" and the analytical methods are described in " 2020-002_Codeco-et-al_data-description.pdf".

Detailed information about the samples used, the location, and general geological background of the samples, and the analytical method is provided in the data description "2020-002_Codeco-et-al_data-description.pdf ".
The overriding goal of the DFG priority programm 2238 - DOME (https://www.uni-potsdam.de/en/spp2238/) is to find solutions to fundamental questions of element transport and mineralization in heterogeneous chemical systems that are complex, dynamic and highly transient. The topic of ore genesis has been studied for a long time from a combined field/laboratory perspective and also experimentally in simplified systems, but rarely have these techniques been integrated in a coordinated way with the third perspective from numerical process modeling. The originality and innovation potential of this priority program lies in the coordination of empirical field-related studies that define the geological/mineralogical framework of natural ore systems with experimental work and numerical models that provide a quantitative understanding of the processes involved.
Minas da Panasqueira, Covilhã, Portugal -7.77606 -7.64282 40.1468 40.1824 Bundesministerium für Bildung und Forschung http://doi.org/10.13039/501100002347 033R149 GRAMME Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659 SPP 2238 DOME

oai:doidb.wdc-terra.org:66672026-03-13T09:42:36ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.GRAVIS_06_L2B Dahle, Christoph Christoph Dahle 0000-0002-4733-9242 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Murböck, Michael Michael Murböck 0000-0002-4108-578X GFZ Helmholtz Centre for Geosciences, Potsdam, Germany GFZ Data Services 2019 Gravity Recovery And Climate Experiment (GRACE) GRACE Follow-on (GRACE-FO) Level-2 Level-2B SHM Spherical Harmonic Model Gravitational Field GSM Geopotential Gravity Field Mass Mass Transport Total Water Storage Time Variable Gravity Mass Balance Gravity Anomaly Satellite Geodesy Earth Observation Satellites > NASA Earth System Science Pathfinder > GRACE EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITATIONAL FIELD EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITY Dahle, Christoph Christoph Dahle 0000-0002-4733-9242 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Murböck, Michael Michael Murböck 0000-0002-4108-578X GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Dahle, Christoph GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Dahle, Christoph GFZ Helmholtz Centre for Geosciences, Potsdam, Germany 2002-04 Dataset 10.5880/GFZ.GRACE_06_GSM 10.5880/GFZ.GRACEFO_06_GSM 10.5880/GFZ.GRAVIS_06_L3_TWS 10.5880/GFZ.GRAVIS_06_L3_OBP 10.5880/GFZ.GRAVIS_06_L3_ICE https://gravis.gfz.de/corrections 10.5194/essd-17-611-2025 10.3390/geosciences8090323 10.1002/2016JB013844 10.5880/COST-G.GRAVIS_02_L2B https://gravis.gfz.de 0004 CC BY 4.0 Post-processed GRACE/GRACE-FO spherical harmonic coefficients of GFZ RL06 Level-2 GSM products representing an estimate of Earth's gravity field variations during the specified timespan. Post-processing steps comprise: (1) subtraction of a long-term mean field; (2) optionally, decorrelation and smoothing with VDK filter (anisotropic filter taking the actual error covariance information of the underlying GSM coefficients into account, see Horvath et al. (2018)); (3) replacement of coefficients C20, C30 (only for the months within the period from 2016/11 through 2017/06), C21 and S21 (only for the months within the period from 2002/04 through 2017/06) and its formal standard deviations by values estimated from a combination of GRACE/GRACE-FO and Satellite Laser Ranging (SLR); (4) subtraction of linear trend caused by Glacial Isostatic Adjustment (GIA) as provided by a numerical model; (5) insertion of geocenter coefficients (C10, C11, S11); and (6) removal of estimated aliased signal of the S2 tide (161 days period). These coefficients represent signals caused by water mass redistribution over the continents and in the oceans.

These post-processed GRACE/GRACE-FO GSM products are denoted as Level-2B products.

There are multiple variants of Level-2B products available that differ by the characteristics of the anisotropic filter applied. These variants are distinguishable by the following strings in the product file names:

- 'NFIL': Level-2B product is not filtered
- 'VDK1': Level-2B product is filtered with VDK1
- 'VDK2': Level-2B product is filtered with VDK2
- 'VDK3': Level-2B product is filtered with VDK3
- 'VDK4': Level-2B product is filtered with VDK4
- 'VDK5': Level-2B product is filtered with VDK5
- 'VDK6': Level-2B product is filtered with VDK6
- 'VDK7': Level-2B product is filtered with VDK7
- 'VDK8': Level-2B product is filtered with VDK8

The individual auxiliary data sets and models used during the post-processing steps mentioned above are provided as well (in the aux_data folder):

- 'GRAVIS-2B_2002095-2020091_GFZOP_0600_NFIL_0004.gz': Long-term mean field calculated as unweighted average of the 183 available GFZ RL06 GSM products in the period from 2002/04 up to and including 2020/03.
- 'GRAVIS-2B_GFZOP_GRACE+SLR_LOW_DEGREES_0004.dat': time series of coefficients C20, C30, C21 and S21 estimated from a combination of GRACE/GRACE-FO and SLR
- 'GRAVIS-2B_GIA_ICE-6G_D_VM5a_0004.gz': Model from Peltier et al. (2018) for subtraction of linear trend caused by GIA
- 'GRAVIS-2B_GFZOP_GEOCENTER_0004.dat': Time series with geocenter coefficients estimated from GFZ RL06

Further information about the Level-2B products and the auxiliary data is provided in the header of the corresponding data files.

---------------------------------------------------------------------------------------------

Version History:

16 January 2025:
Release of Version 0004. This is an update of Version 0003 of the same data set (see changelog).

21 April 2023:
Release of Version 0003. This is an update of Version 0002 of the same data set (see changelog).

09 June 2020:
Release of Version 0002. This is an update of Version 0001 of the same data set (see changelog).

All changes and updates are documented in the changelog available via the data download section. Previously released versions of this data set are available in the "old_versions" subfolder in the data download folder.

-180 180 -90 90

oai:doidb.wdc-terra.org:68682026-03-13T09:52:13ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/COST-G.GRAVIS_01_L2B Dahle, Christoph Christoph Dahle 0000-0002-4733-9242 GFZ German Research Centre for Geosciences, Potsdam, Germany Murböck, Michael Michael Murböck 0000-0002-4108-578X GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2020 Gravity Recovery And Climate Experiment (GRACE) GRACE Follow-on (GRACE-FO) Level-2 Level-2B SHM Spherical Harmonic Model Gravitational Field GSM Geopotential Gravity Field Mass Mass Transport Total Water Storage Time Variable Gravity Mass Balance Gravity Anomaly Satellite Geodesy Earth Observation Satellites > NASA Earth System Science Pathfinder > GRACE EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITATIONAL FIELD EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITY König, Rolf Rolf König 0000-0002-7155-6976 GFZ German Research Centre for Geosciences, Potsdam, Germany Dahle, Christoph GFZ German Research Centre for Geosciences, Potsdam, Germany 2002-04 2002-04 2002-04 2002-04 Dataset 10.5880/ICGEM.COST-G.001 10.5880/COST-G.GRAVIS_01_L3_TWS 10.5880/COST-G.GRAVIS_01_L3_OBP 10.5880/COST-G.GRAVIS_01_L3_ICE 10.5880/GFZ.GRAVIS_06_L2B https://gravis.gfz.de/corrections 10.5194/essd-17-611-2025 10.3390/geosciences8090323 https://cost-g.org/download/COST_G_RL01.pdf 10.1002/2016JB013844 https://gravis.gfz.de 10.5880/COST-G.GRAVIS_02_L2B 0003 CC BY 4.0 Post-processed GRACE/GRACE-FO spherical harmonic coefficients of COST-G RL01 Level-2 GSM products representing an estimate of Earth's gravity field variations during the specified timespan. Post-processing steps comprise: (1) subtraction of a long-term mean field; (2) optionally, decorrelation and smoothing with VDK filter (anisotropic filter taking the actual error covariance information of the underlying GSM coefficients into account, see Horvath et al. (2018)); (3) replacement of coefficients C20 and C30 (only for the months within the period from 2016/11 through 2017/06) and its formal standard deviations by values estimated from a combination of GRACE/GRACE-FO and Satellite Laser Ranging (SLR); (4) subtraction of linear trend caused by Glacial Isostatic Adjustment (GIA) as provided by a numerical model; (5) insertion of geocenter coefficients (C10, C11, S11); and (6) removal of estimated aliased signal of the S2 tide (161 days period). These coefficients represent signals caused by water mass redistribution over the continents and in the oceans.

These post-processed GRACE/GRACE-FO GSM products are denoted as Level-2B products.

There are multiple variants of Level-2B products available that differ by the characteristics of the anisotropic filter applied. These variants are distinguishable by the following strings in the product file names:

- 'NFIL': Level-2B product is not filtered
- 'VDK1': Level-2B product is filtered with VDK1
- 'VDK2': Level-2B product is filtered with VDK2
- 'VDK3': Level-2B product is filtered with VDK3
- 'VDK4': Level-2B product is filtered with VDK4
- 'VDK5': Level-2B product is filtered with VDK5
- 'VDK6': Level-2B product is filtered with VDK6
- 'VDK7': Level-2B product is filtered with VDK7
- 'VDK8': Level-2B product is filtered with VDK8

The individual auxiliary data sets and models used during the post-processing steps mentioned above are provided as well (in the aux_data folder):

- 'GRAVIS-2B_2002095-2020091_GFZOP_0600_NFIL_0003.gz': Long-term mean field calculated as unweighted average of the 183 available GFZ RL06 GSM products in the period from 2002/04 up to and including 2020/03.
- 'GRAVIS-2B_COSTG_GRACE+SLR_LOW_DEGREES_0003.dat': time series of coefficients C20, C30, C21 and S21 estimated from a combination of GRACE/GRACE-FO and SLR
- 'GRAVIS-2B_GIA_ICE-6G_D_VM5a_0003.gz': Model from Peltier et al. (2018) for subtraction of linear trend caused by GIA
- 'GRAVIS-2B_COSTG_GEOCENTER_0003.dat': Time series with geocenter coefficients estimated from COST-G RL01

Further information about the Level-2B products and the auxiliary data is provided in the header of the corresponding data files.

---------------------------------------------------------------------------------------------

Version History:

21 April 2023:
Release of Version 0003. This is an update of Version 0002 of the same data set (see changelog).

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 Dahle & Murböck (2019, https://doi.org/10.5880/GFZ.GRAVIS_06_L2B).

All changes and updates are documented in the changelog available via the data download section. Previously released versions of this data set are available in the "old_versions" subfolder of the data download folder.


-180 180 -90 90

oai:doidb.wdc-terra.org:85272026-03-13T12:51:23ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/COST-G.GRAVIS_02_L2B Dahle, Christoph Christoph Dahle 0000-0002-4733-9242 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Murböck, Michael Michael Murböck 0000-0002-4108-578X Institute of Geodesy, Technische Universität Berlin, Berlin, Germany GFZ Helmholtz Centre for Geosciences, Potsdam, Germany GFZ Data Services 2025 Gravity Recovery And Climate Experiment (GRACE) GRACE Follow-on (GRACE-FO) Level-2 Level-2B SHM Spherical Harmonic Model Gravitational Field GSM Geopotential Gravity Field Mass Mass Transport Total Water Storage Time Variable Gravity Mass Balance Gravity Anomaly Satellite Geodesy Earth Observation Satellites > NASA Earth System Science Pathfinder > GRACE EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITATIONAL FIELD EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD > GRAVITY Dahle, Christoph GFZ Helmholtz Centre for Geosciences, Potsdam, Germany 2002-04 Dataset 10.5880/COST-G.ICGEM_02_L2 10.5880/COST-G.GRAVIS_02_L3_TWS 10.5880/COST-G.GRAVIS_02_L3_OBP 10.5880/COST-G.GRAVIS_02_L3_ICE 10.5880/GFZ.GRAVIS_06_L2B https://gravis.gfz.de/corrections 10.5194/essd-17-611-2025 10.3390/geosciences8090323 10.1002/2016JB013844 https://gravis.gfz.de 10.5880/COST-G.GRAVIS_01_L2B 0001 CC BY 4.0 Post-processed GRACE/GRACE-FO spherical harmonic coefficients of COST-G RL02 Level-2 GSM products representing an estimate of Earth's gravity field variations during the specified timespan. Post-processing steps comprise: (1) subtraction of a long-term mean field; (2) optionally, decorrelation and smoothing with VDK filter (anisotropic filter taking the actual error covariance information of the underlying GSM coefficients into account, see Horvath et al. (2018)); (3) replacement of coefficients C20 and C30 (only for the months within the period from 2016/11 through 2017/06) and its formal standard deviations by values estimated from a combination of GRACE/GRACE-FO and Satellite Laser Ranging (SLR); (4) subtraction of linear trend caused by Glacial Isostatic Adjustment (GIA) as provided by a numerical model; (5) insertion of geocenter coefficients (C10, C11, S11); and (6) removal of estimated aliased signal of the S2 tide (161 days period). These coefficients represent signals caused by water mass redistribution over the continents and in the oceans.

These post-processed GRACE/GRACE-FO GSM products are denoted as Level-2B products.

There are multiple variants of Level-2B products available that differ by the characteristics of the anisotropic filter applied. These variants are distinguishable by the following strings in the product file names:

- 'NFIL': Level-2B product is not filtered
- 'VDK1': Level-2B product is filtered with VDK1
- 'VDK2': Level-2B product is filtered with VDK2
- 'VDK3': Level-2B product is filtered with VDK3
- 'VDK4': Level-2B product is filtered with VDK4
- 'VDK5': Level-2B product is filtered with VDK5
- 'VDK6': Level-2B product is filtered with VDK6
- 'VDK7': Level-2B product is filtered with VDK7
- 'VDK8': Level-2B product is filtered with VDK8

The individual auxiliary data sets and models used during the post-processing steps mentioned above are provided as well (in the aux_data folder):

- 'GRAVIS-2B_COSTG_0200_2002095-2020091_NFIL_0001.gz': Long-term mean field calculated as unweighted average of the 183 available GFZ RL06 GSM products in the period from 2002/04 through 2020/03

- 'GRAVIS-2B_COSTG_0200_GRACE+SLR_LOW_DEGREES_0001.dat': Time series of coefficients C20, C30, C21 and S21 estimated from a combination of GRACE/GRACE-FO and SLR

- 'GRAVIS-2B_COSTG_0200_GIA_ICE-6G_D_VM5a_0001.gz': Model from Peltier et al. (2018) for subtraction of linear trend caused by GIA

- 'GRAVIS-2B_COSTG_0200_GEOCENTER_0001.dat': Time series with geocenter coefficients estimated from COST-G RL02.1

Further information about the Level-2B products and the auxiliary data is provided in the header of the corresponding data files.


---------------------------------------------------------------------------------------------

Version History:

22 July 2025:
Initial release of the data (Version 0001).
-180 180 -90 90

oai:doidb.wdc-terra.org:86542026-03-24T13:22:14ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.KHAG.2016.001 Regenspurg, Simona Simona Regenspurg 0000-0002-4327-1439 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Thomas, Anika Anika Thomas 0009-0006-7787-3485 Martin Luther University Halle-Wittenberg, Germany Stammeier, Jessica A. Jessica A. Stammeier 0000-0002-3603-3272 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Wilke, Franziska D.H. Franziska D.H. Wilke 0000-0002-3463-6176 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany van Schijndel, Valby Valby van Schijndel 0000-0002-2823-8200 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany GFZ Data Services 2026 Groß Schönebeck Gt GrSk 4/05 geothermal research well Science Keywords > EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY Science Keywords > EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY > GEOCHEMICAL PROCESSES Science Keywords > EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY > GEOCHEMICAL PROCESSES > MINERAL DISSOLUTION Science Keywords > EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY > GEOCHEMICAL PROCESSES > OXIDATION/REDUCTION Science Keywords > EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY > GEOCHEMICAL PROPERTIES ElMiE - Elements and Minerals of the Earth Laboratory (GFZ) GFZ Helmholtz Centre for Geosciences, Potsdam, Germany aboratory for Fluid chemistry (GFZ) GFZ Helmholtz Centre for Geosciences, Potsdam, Germany X-Ray laboratories (TU Berlin) Technical University Berlin, Berlin, Germany Microprobe Lab (GFZ) GFZ Helmholtz Centre for Geosciences, Potsdam, Germany EleMap - Elemental mapping by LA-ICP-MS (GFZ) GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Regenspurg, Simona GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Dataset 10.1016/j.apgeochem.2026.106725 10.1029/2005GC001060 10.1111/j.1751-908X.2011.00120.x 10.1080/03067319.2017.1294166 10.1039/C1JA10172B 10.5880/GFZ.3.1.2023.005 10.1021/ac50043a017 CC BY 4.0 Cutting samples of 23 geological formations from different depths (measured depth, MD) between 1.4 and 4.4 km of the geothermal research well Groß Schönebeck site were analyzed with focus on lithium (Li), copper (Cu), and strontium (Sr).

To determine how strong and to which components these critical raw materials (CRM) are bound within the rocks, leaching and sequential extraction experiments were performed on five selected formation rock samples that are considered either for geothermal exploitation (Muschelkalk, Buntsandstein, Rotliegend sandstone) and/or as potential source for the CRM Li, Cu, Sr from the Permo-Carboniferous volcanic rocks and/or the Ohre anhydrite. In addition, electron probe micro analyses (EPMA) and laser ablation ICP-OES was performed on thin sections of the Rotliegend formation.
HORIZON EUROPE Climate, Energy and Mobility http://dx.doi.org/10.13039/100018700 101058163 Innovation for responsible EU sourcing of primary raw materials, the foundation of the Green Deald innovation programme