cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/gfz.1.1.2022.002
title: Hydrostatic and wet signal delays calculated from a network of 23 GNSS stations in northwestern Argentina between 2010-2021

description: This dataset provides information about the hydrostatic and wet signal delays from a network of 23 GNSS stations in northwestern Argentina between 2010-2021. It is based on Global Navigation Satellite System (GNSS) remote sensing techniques for the estimation of the atmospheric total delay and its gradients. Additionally, the hydrostatic counterpart and its gradients were calculated from the ERA5 dataset of the European Centre for Medium-Range Weather Forecasts (ECMWF) with ray-tracing algorithms. The wet delays, as well as their gradients, were calculated by subtracting the hydrostatic fraction from the total proportion. Lastly, the wet signal delays were also computed using solely the ERA5 dataset.
DOI: 10.5880/gfz.2.1.2020.003
title: Moment tensor inversion testing report on hydrocarbon-induced seismicity in the Groningen gas field, the Netherlands

description: This interactive webpage contains supplementary information for the publication by Kühn et al. 2020: "Probabilistic moment tensor inversion for hydrocarbon-induced seismicity in the Groningen gas field, the Netherlands, part 1: testing". It allows for an easy comparison between the various tests of inversion parameters and velocity models described for the analysis of the 11th of March 2017 Zeerijp ML 2.1 earthquake on the event induced in the Groningen gas field (Netherlands). Inversion runs collected here comprise the parameters employed for inversion (Problem Config), the inversion results and error estimates (Parameter Results) as well as a multitude of figures.
description: The analysis has been performed using the Grond software package (Heimann et al., 2018). The open source software for seismic source parameter optimization Grond implements a bootstrap-based method to retrieve solution sub-spaces, parameter trade-offs and uncertainties of earthquake source parameters. Green's functions (GFs) for three different velocity models were calculated with the orthonormal propagator method (QSEIS, Wang, 1999; see https://github.com/pyrocko/fomosto-qseis/). All GFs are stored in Pyrocko GF stores (Pyrocko toolbox, Heimann et al., 2017, Heimann et al. 2019). Green's functions were computed employing a tapered Heaviside wavelet, a sample rate of 25 Hz and a grid spacing of 50 m allowing for interpolation of Green's functions between nodes. The databases comprise source depths from 1 to 4 km and receiver depths from 0 to 200 m. We used a nearest neighbor interpolation inbetween grid points of the pre-computed GFs. Synthetic and observed P- and S-phase waveforms from up to 10 km were restituted to displacement and filtered between 2 - 4 Hz (P-waves) and 1 - 3 Hz (S-waves), respectively, as well as windowed between [0 s; +0.5 s] or [-0.2 s; +0.5 s], respectively, from the expected phase arrival, given the tested candidate source model at each forward modeling step in the optimization. From the waveforms, different types of body wave attributes were calculated in order to be compared during the inversion, as amplitude spectra, envelopes, absolute amplitudes and cross-correlation traces. S-wave contributions were weighted half compared to P-wave contributions.
DOI: 10.5880/fidgeo.2020.034
title: Jet spreading and Jet inclination induced through complex vent geometry

description: This dataset provides data from 36 rapid decompression experiments performed in the Fragmentation Lab at Ludwig-Maximilians-Universität München (LMU, Munich, Germany) supporting the publication Schmid, M, Kueppers U, Cigala V, Sesterhenn J and Dingwell DB (202x) “Release characteristics of overpressurised gas from complex vents: implications for volcanic hazards”. The experiments were aimed to constrain the influence of complex vent geometry on the instantaneous gas expansion in a shock-tube setup, mimicking impulsive volcanic explosions. They were performed at the following experimental conditions: 1) six vent geometries (conduit geometry always cylindrical), composed by 2 sets of inner geometry (cylindrical and 15° diverging) with inclined exit planes of 5, 15 or 30° slant angle, 2) constant temperature (25°C), 3) four starting overpressure scenarios (5, 8, 15, 25 MPa), and 4) two reservoir volumes (127.4 cm3, 31.9 cm3), achieved via variable conduit length, with Argon being used for the pressurization. During the experiments the setup is incrementally pressurized. When the desired experimental pressure in the reservoir is reached, rapid decompression is triggered (Kueppers et al., 2006; Cigala et al., 2017), producing a starting jet of expanding gas. Expansion-induced cooling leads to condensation of the Argon jet, allowing for optical analysis of gas expansion dynamics using highspeed videos. Gas dynamics (jet spreading and jet inclination) were analysed and correlated to experimental variables.
DOI: 10.5880/riesgos.2021.001
title: RRVS Building survey for building exposure modelling in Valparaiso and Viña del Mar (Chile)

description: The dataset contains a set of structural and non-structural attributes collected using the GFZ RRVS (Remote Rapid Visual Screening) methodology. It is composed by 604 randomly distributed buildings in the urban area of Valparaiso and Viña del Mar (Chile). The survey has been carried out between November and December 2018 using a Remote Rapid Visual Screening system developed by GFZ and employing omnidirectional images from Google StreetView (vintage: December 2018) and footprints from OpenStreetMap (OSM). The buildings were inspected by local structural engineers from the Chilean Research Centre for Integrated Disaster Risk Management (CIGIDEN) while collecting their attribute values in terms of the GEM v.2.0 taxonomy
DOI: 10.5880/fidgeo.2022.034
title: Anisotropic broadband spectral induced polarization (SIP) data of black shale and mudstone from the Moffat Shale Group (Ireland)

description: This data set includes broadband (1e-4 to 1e5 Hz) frequency-dependent, complex electrical conductivity data, which have been measured in the laboratory by means of the spectral induced polarization (SIP) method on 28 oriented black shale and mudstone samples. Porosity, density and plug images are provided as accompanying information. The rock material originates from the Moffat Shale Group sampled from two shallow boreholes in Monaghan County, Ireland. Among the plug samples, 9 oriented pairs are used to derive anisotropy information of the frequency-dependent, complex electrical conductivity. The data have been processed by means of a Debye decomposition approach. The anisotropy is then determined by utilizing the foliation dip angle assuming tilted transverse isotropic conditions.
DOI: 10.5880/gfz.1.1.2020.002
title: GFZ final product series for the International GNSS Service (IGS)

description: GFZ acts as a global analysis center of the International GNSS Service (IGS) and provides ultra-rapid (last 24h), rapid (last day), and final (last week) solutions for GPS and GLONASS. The final solution series is published in daily files with a delay of about two weeks.
description: Based on a network of around 230 GNSS stations of the tracking network of the International GNSS Service, the GFZ analysis center generates weekly solutions using the latest development version of the EPOS.P8 Software. The solution series contains daily files ( refers to the year and day of year of the first epoch contained in the files): - satellite orbits (GFZ0OPSFIN_0000_01D_15M_ORB.SP3.gz, data format: sp3: ftp://igs.org/pub/data/format/sp3c.txt), - clock corrections (GFZ0OPSFIN_0000_01D_30S_CLK.CLK.gz, data format: clk: ftp://igs.org/pub/data/format/rinex_clock302.txt), - station coordinates (GFZ0OPSFIN_0000_01D_01D_SOL.SNX.gz,data format: snx: https://www.iers.org/IERS/EN/Organization/AnalysisCoordinator/SinexFormat/sinex.html), - Earth rotation parameters (GFZ0OPSFIN_0000_07D_01D_ERP.ERP.g, data format: erp https://lists.igs.org/pipermail/igsmail/1998/003315.html) are provided weekly, - summary file (GFZ0OPSFIN_0000_07D_07D_DSC.SUM.gz) containing the detailed processing results is provided also on a weekly basis The file naming follows the IGS Long Product Filename (http://acc.igs.org/repro3/Long_Product_Filenames_v1.0.pdf). All files are .gz compressed. The processing is described in detail in our Analysis Center Notes (ftp://ftp.igs.org/pub/center/analysis/gfz.acn) and follows the current geodetic conventions (https://www.iers.org/IERS/EN/Publications/TechnicalNotes/tn36.htm).
DOI: 10.5880/pik.2017.007
title: Spatially-explicit Gross Cell Product (GCP) time series: past observations (1850-2000) harmonized with future projections according to the Shared Socioeconomic Pathways (2010-2100)

description: We here provide spatially-explicit economic time series for Gross Cell Product (GCP) with global coverage in 10-year increments between 1850 and 2100 with a spatial resolution of 5 arcmin. GCP is based on a statistcal downscaling procedure that among other predictors uses national Gross Domestic Product (GDP) time series and gridded population estimates as input. Historical estimates until 2000 are harmonized with future socio-economic projections from the Shared Socioeconomic Pathways (SSPs) according to SSP2 from 2010 onwards. 
      We further provide a mapping file with identical spatial resolution to associate GCP values with specifc countries. Based on this mapping we provide nationally aggregated GDP estimates between 1850-2100 in a separate csv-file.
 Additionally, we provide a mapping file with identical spatial resolution providing national assets-GDP ratios, that can be used to transform GCP to asset values based on 2016 estimates from Credit Suisse's Global Wealth Databook 2016.
DOI: 10.5880/pik.2021.001
title: Crop yields, area and production in France 1900-2018

description: Here we present a data set of crop performance in France, one of Europe’s major crop producers. The data set comprises ten crops (barley, maize, oats, potatoes, rapeseed, sugarbeet, sunflower, durum wheat, soft wheat and wine) and covers the years 1900 to 2018. It contains harvested area, production and yield data for all 96 French départements (i.e. counties or NUTS3 level) with a total number of 375,264 data points. Entries until 1988 have been digitized manually from statistical yearbooks.
description: Crop area (in hectare, ha, for sown areas) and production (in kg) statistics on departmental level from 1900 until 1988 were collected from books of national agricultural statistics (‘Statistique agricole annuelle’ or ‘Annuaire de statistique agricole’) compiled by the French Ministry of Agriculture; detailed references are provided in the supplementary information. Numbers were manually digitized from photocopied versions of the original paper documents. Data from 1989 to 2018 were derived from digital statistics from the Agreste database (‘Statistique agricole annuelle’ compiled by the Service de la Statistique et de la Prospective (SSP), Secrétariat Général du Ministère de l’Agriculture, de l’Agroalimentaire et de la Forêt (MAAF), France); details are provided in the supplementary information. Yields were calculated from total production and sown area for each department to avoid apparently often incorrect yield values printed in the old statistics books. Yields are given in kilogram per hectare (kg/ha, for sown area) for dry mass with 10-16% moisture content, depending on the crop.
DOI: 10.5880/gfz.4.6.2020.005
title: Seismic data from the Hochvogel summit array

description: Large rock slope failures play a pivotal role in long-term landscape evolution and are a major concern in land use planning and hazard aspects. While the failure phase and the time immediately prior to failure are increasingly well studied, the nature of the preparation phase remains enigmatic. This knowledge gap is due, to a large degree, to difficulties associated with instrumenting high mountain terrain and the local nature of classic monitoring methods, which does not allow integral observation of large rock volumes. Here, we analyse data from a small network of up to seven seismic sensors installed during July--October 2018 (with 43 days of data loss) at the summit of the Hochvogel, a 2592 m high Alpine peak. We develop proxy time series indicative of cyclic and progressive changes of the summit. Fundamental frequency analysis, horizontal-to-vertical spectral ratio data and end-member modelling analysis reveal diurnal cycles of increasing and decreasing coupling stiffness of a 126,000 m^3 large, instable rock volume, due to thermal forcing. Relative seismic wave velocity changes also indicate diurnal accumulation and release of stress within the rock mass. At longer time scales, there is a systematic superimposed pattern of stress increases over multiple days and episodic stress release within a few days, expressed in an increased emission of short seismic pulses indicative of rock cracking. We interpret our data to reflect an early stage of stick slip motion of a large rock mass, providing new information on the development of large-scale slope instabilities towards catastrophic failure.
DOI: 10.5880/gipp.201806.01
title: Data from the TTZ-South seismic experiment

description: Raw, SEGY and other supplementary data are presented from the seismic refraction / wide-angle reflection profile, TTZ-South, in Poland and Ukraine. The purpose of this 550 km long seismic profile was to reveal the lithospheric structure along the Teisseyre-Tornquist Zone (TTZ), a major geophysical boundary in Europe.
description: The Geophysical Instrument Pool Potsdam (GIPP) provides field instruments for (temporary) seismological studies (both controlled source and earthquake seismology) and for magnetotelluric (electromagnetic) experiments. The GIPP is operated by the GFZ German Research Centre for Geosciences. The instrument facility is open for academic use. Instrument applications are evaluated and ranked by an external steering board. See Haberland and Ritter (2016) and https://www.gfz-potsdam.de/gipp for more information.
DOI: 10.5880/gipp.201111.1
title: Data of the controlled source seismic profile LISPWAL2: Lithospheric structure of the Namibian continental passive margin at the intersection with the Walvis Ridge

description: This dataset contains data of a reflection seismic profile in North-Western Namibia. The measurements were carried out in continuation of the LISPWAL project aiming to decipher the lithospheric structure of the Namibian passive margin at the intersection with the Walvis Ridge (Ryberg et al., 2014a, b; 2015). Scientific aims were a) to produce a high-resolution image of the reflectivity of the lower-crustal high-velocity body revealed by wide-angle observations; b) an improved understanding of how continental crust and plume head interact, c) to investigate what the extent and volumes of magmatic underplating are, and d) to understand how and which inherited (continental) structures might have been involved and utilized in the break up process. The dataset contains seismic data, including raw and SEG Y files, of the controlled-source survey in North-Western Namibia (Kaokoveld) using near-vertical reflection seismic methods.
description: The Geophysical Instrument Pool Potsdam (GIPP) provides field instruments for (temporary) seismological studies (both controlled source and earthquake seismology) and for magnetotelluric (electromagnetic) experiments. The GIPP is operated by the GFZ German Research Centre for Geosciences. The instrument facility is open for academic use. Instrument applications are evaluated and ranked by an external steering board. See Haberland and Ritter (2016) and https://www.gfz-potsdam.de/gipp for more information.
DOI: 10.5880/gfz.4.6.2020.006
title: Flood characteristics of the 2016-02-22 event on the Eshtemoa River, Israel

description: Bedload transport is a key process in fluvial morphodynamics and hydraulic engineering, but is notoriously difficult to measure. The recent advent of stream-side seismic monitoring techniques provides an alternative to in-stream monitoring techniques, which are often costly, staff-intensive, and cannot be deployed during large floods. The Nahal (river) Eshtemoa is a gravel-bed river draining 119 km² of the Southern Hebron Mountains and the Northern Negev, northeast of Beer Sheva, Israel. The climate in the catchment is semi-arid, with a mean annual precipitation of 286 mm. Rainfall mainly occurs between October and May. The river is ephemeral with flash floods occurring on average five times per year (Alexandrov et al., 2009). The recurrence interval of the bankful discharge of 26 m3 s-1 has been estimated to be 1.25 years (Powell et al., 2012). Bedload fluxes are high by worldwide standards with sediment transport as much as 400 times more efficient than in a typical perennial humid river (Laronne and Reid, 1993; Reid and Laronne, 1995). The river is equipped with a monitoring station in a straight channel section with a trapezoidal cross section. The banks are nearly vertical, 1.2 m high, and comprise aeolian fines and interbedded gravel. The mean channel slope is 0.0075, which is generally mirrored by the water surface slope, with exception during the arrival of a flashflood bore (Meirovich et al., 1998). The data presented here are for the flood of the 22nd February 2016.They show a high bedload flux with peaks exceeding 1 kg/sm and water level between 0.5 and 0.8 m. The event has been previously described by Dietze et al. (2019). The data were used to assess the quality of a physical model (Tsai et al. 2012) predicting the seismic spectrum generated by the impact of bedload particles moving along the channel bed. The model requires knowledge on stream and sediment characteristics to constrain the source terms, e.g., the channel geometry and grain size distribution, as well as ground properties affecting the wave propagation, i.e., frequency-dependent wave velocity or attenuation characteristics. The complementary controlled source and passive seismological data are published in a separate data publication (Lagarde et al., 2020).
DOI: 10.5880/fidgeo.2021.036
title: New Chilean and a global compilation of soil production, chemical weathering, and physical erosion rates from soil-mantled hillslopes

description: This data publication contains new and recalculated soil production, chemical weathering, and physical erosion rates for granitoid soil-mantled hillslopes in the Chilean Coastal Cordillera. For further comparison and data discussion the data publication presents global rates from granitoid soil-mantled hillslopes combined with a suite of parameters at the sample location (e.g., slope, precipitation, temperature, vegetation cover). The data were collected within the DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota". The data publication contains one excel table including tables S1 to S9. In addition, these nine sub-tables are available as txt files in a zip-file. They are supplementary material to Schaller et al. (2021).
description: The DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota" (2016-2022; https://www.earthshape.net/) explored between scientific disciplines and includes geoscientists and biologists to study from different viewpoints the complex question how microorganisms, animals, and plants influence the shape and development of the Earth’s surface over time scales from the present-day to the young geologic past. All study sites are located in the north-to-south trending Coastal Cordillera mountains of Chile, South America. These sites span from the Atacama Desert in the north to the Araucaria forests approximately 1300 km to the south. The site selection contains a large ecological and climate gradient ranging from very dry to humid climate conditions.
DOI: 10.5880/gfz.3.3.2019.005
title: Drainage divide networks, Part 2: Response to perturbations - Movie files

description: The movies in this dataset are supplementary to the article of Scherler and Schwanghart (submitted), in which experiments with numerical landscape evolution models have been conducted to analyze the evolution of drainage divide networks. The experiments were run in MATLAB with the TopoToolbox landscape evolution model (TTLEM) 1.0 (Campforts et al., 2017), and analyzed with the TopoToolbox v2 (Schwanghart and Scherler, 2014). The different experiments in this dataset comprise five different setups, called ‘Initialize’, ‘Reference’, ‘Rotate’, ‘Inclined’, and ‘Spheres’, which all simulate the evolution of landscapes over 10 Million years. See Scherler and Schwanghart (submitted) for details on the different models. For each model run, we produced five different movies that were saved as Audio Video Interleave (AVI) files. All movies show the evolution of the topography and the drainage divide network, colored for different properties. Detailed description of the files is provided in the associated data description.
DOI: 10.5880/gfz.4.8.2022.011
title: Fluid injection experiments on critically stressed sawcut faults in low-permeability granite samples

description: Earthquakes associated with fluid injection in various geo-energy settings, such as shale gas and deep geothermal energy, have shelved many projects with great potential. However, the injection-rate dependence of earthquake nucleation length, i.e., the slowly slipping (creeping) fault length in preparation for a subsequent earthquake (Kaneko & Lapusta, 2008), remains elusive. In this study, we take a step towards this issue by performing fluid injection experiments on low-permeability granite samples containing a critically stressed sawcut fault at different local injection rates (0.2 mL/min and 0.8 mL/min) and confining pressures (31 MPa and 61 MPa) (c. f., Ji & Wu, 2017; Wang et al., 2020). An array of local strain gauges and acoustic emission (AE) hypocenter locations were used to monitor the precursory slip of critically stressed faults before injection-induced stick-slip failure (c. f., Passelègue et al., 2020; Wang et al., 2020). The nucleation length was determined for each injection-induced stick-slip event, and its dependence on effective normal stress and injection rate was explored. Herein, we compile the processed data obtained from the experiments in four Excel worksheets. The full description of the methods is provided in Ji et al. (2022).