cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/fidgeo.2022.024
title: High-speed digital image correlation data from laboratory subduction megathrust models

description: This data set includes data derived from high-speed surface displacement observations from analog earthquake experiments. The data consists of surface displacement of the experiment upper plate and slab, slip distribution, and grids of Coulomb Failure Stress (CFS). The surface displacement observations have been captured using a highspeed CMOS (Complementary Metal Oxide Semiconductor) camera (Phantom VEO 640L camera, 12 bit) and processed with LaVision Davis 10 software. Description of the experiments and results regarding the surface displacement observation, Slip distribution, and CFS can be found in Kosari et al. (2022), to which this data set is supplementary. We use an analog seismotectonic scale model approach (Rosenau et al., 2019 and 2017) to generate a catalog of analog megathrust earthquakes. The presented experimental setup is modified from the 3D setup used in Rosenau et al. (2019) and Kosari et al. ( 2020 and 2022). The subduction forearc model wedge is set up in a glass-sided box (1000 mm across strike, 800mm along strike, and 300 mm deep) with a dipping, elastic basal conveyor belt, and a rigid backwall. An elastoplastic sand-rubber mixture (50 vol.% quartz sandG12: 50 vol.% EPDM rubber) is sieved into the setup representing a 240 km long forearc segment from the trench to the volcanic arc. The shallow part of the wedge includes a basal layer of sticky rice grains characterized by unstable stick-slip sliding representing the seismogenic zone. The Stick-slip sliding in rice is governed by a rate-and-state dependent friction law similar to natural rocks. A flat-top (surface slope α=0) wedge overlies rectangular stick-slip patch/es over a 15-degree dipping basal thrust. Two different seismic configurations of the shallow part of the wedge base (the megathrust) represent the depth extent of the seismogenic zone in nature. In the first configuration (homogeneous configuration), a single large rectangular stick-slip patch (Width*Length=200*800 mm) is implemented as the main slip patch (MSP). In the second case (heterogeneous configuration), two square-shaped MSPs (200*200mm) have been emplaced, acting as two medium-size seismogenic asperities surrounded by a salt matrix hosting frequent small events. Slow continuous compression of the wedge by moving the basal conveyor belt at a speed velocity of 0.05 mm/s simulates plate convergence and results in the quasi-periodic nucleation of quasi-periodic stick-slip events (analog earthquakes) within the sticky-rice layer. The wedge responds elastically to these basal slip events, similar to crustal rebound during natural subduction megathrust earthquakes.
DOI: 10.5880/isg.2021.010
title: The Indian gravimetric geoid model based on the KTH method of Least Squares modification of the Stokes formula with additive corrections: IndGG-LSMSA2021

description: The IndGG-LSMSA2021 is the Indian Gravimetric Geoid model developed using the Royal Institute of Technology (KTH) method of Least Squares Modification of the Stokes formula with Additive corrections (LSMSA). The method was used to calculate the quasigeoid model, which was converted to the geoid model by applying the geoid-quasigeoid separation term calculated using the method by Flury and Rummel (2009). Data used are terrestrial gravity anomalies from GETECH, satellite-altimeter derived marine gravity anomalies, MERIT digital elevation model, EGM2008 and GO_CONS_GCF_2_DIR_R5 global geopotential models. The LSMSA method was used with various combinations of modification degree and integration radius. This gravimetric geoid model was obtained with the modification degree of 300 and an integration radius of 1°. The IndGG-LSMSA2021 model extends from 7° N to 37° N latitude and 68° E to 98° E longitude with a grid spacing of 0.02°×0.02° and it is referred to the GRS80 ellipsoid. On validation with the available GNSS/levelling data, mean±STD (in m) for India is -0.14±0.43. However, on cluster-wise validation in the four regions of the country, Uttar Pradesh West, Uttar Pradesh East, Hyderabad, and Bangalore, mean±STD (in m) are -0.58±0.13, -0.49±0.10, 0.14±0.16, and 0.79±0.03, respectively. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
description: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).
DOI: 10.5880/isg.2021.008
title: The Indian gravimetric geoid model based on the Curtin University approach with Featherstone-Evans-Olliver modification of the Stokes kernel: IndGG-CUT2021

description: The IndGG-CUT2021 is the Indian Gravimetric Geoid model developed using the Curtin University of Technology (CUT) approach, namely Moritz’s analytical solution to Molodensky’s problem, where Molodensky’s G₁ term is approximated by terrain correction. The method primarily calculates the quasigeoid model, which was converted to the geoid model by applying the geoid-quasigeoid separation term calculated using the method by Flury and Rummel (2009). Data used are terrestrial gravity anomalies from GETECH, satellite-altimeter derived marine gravity anomalies, MERIT digital elevation model, EIGEN6C4 and EGM2008 global geopotential models. The Featherstone-Evans-Olliver modified Stokes kernel was used in the calculations with various combinations of modification degree and integration radius. This gravimetric geoid model was obtained with the modification degree of 300 and an integration radius of 1°. The IndGG-CUT2021 model extends from 7° N to 37° N latitude and 68° E to 98° E longitude with a grid spacing of 0.02°×0.02° and it is referred to the GRS80 ellipsoid. On validation with the available GNSS/levelling data, mean±STD (in m) for India is -0.15±0.41. However, on cluster-wise validation in the four regions of the country, Uttar Pradesh West, Uttar Pradesh East, Hyderabad, and Bangalore, mean±STD (in m) are -0.57±0.12, -0.48±0.09, 0.11±0.16, and 0.77±0.03, respectively. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
description: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).
DOI: 10.5880/icgem.2022.002
title: WHU-GRACE-GPD01s: Monthly gravity field models derived from GRACE intersatellite geopotential differences

description: The WHU-GRACE-GPD01s models are the latest monthly gravity field solutions recovered from GRACE intersatellite geopotential difference (GPD) data processed at the School of Geodesy and Geomatics, Wuhan University, China. The intersatellite GPDs are estimated from GRACE Level-1B (RL03) data based on the improved energy balance equation and remove-compute-restore (RCR) technique, and the background models are consistent with GRACE Level-2 processing standards document (RL06). Further details are presented in Zhong et al. (2020, 2022). The WHU-GRACE-GPD01s models include two sets of GRACE monthly solutions: one is the unconstrained monthly solutions with the maximum degree and order of 60, the other is the constrained monthly solutions up to the maximum degree and order 96 with Kaula regularization constraint, and the optimal regularization parameter is determined using variance component estimation (VCE). This work is supported by the National Natural Science Foundation of China (No. 41974015, 41474019, 42061134007) and the Project Supported by the Special Fund of Hubei Luojia Laboratory (Grant No. 220100004).
DOI: 10.5880/isg.2021.009
title: The Indian gravimetric geoid model based on the Stokes-Helmert approach with Vaníček-Kleusberg modification of the Stokes kernel: IndGG-SH2021

description: The IndGG-SH2021 is the Indian Gravimetric Geoid model developed using the Stokes-Helmert method. Data used are terrestrial gravity anomalies from GETECH, satellite-altimeter derived marine gravity anomalies, MERIT digital elevation model, EGM2008 and GO_CONS_GCF_2_DIR_R5 global geopotential models. The Vaníček and Kleusberg modified Stokes kernel was used in the calculations with various combinations of modification degree and integration radius. This gravimetric geoid model was obtained with the modification degree of 300 and an integration radius of 1°. The IndGG-SH2021 model extends from 7° N to 37° N latitude and 68° E to 98° E longitude with a grid spacing of 0.02°×0.02° and it is referred to the GRS80 ellipsoid. On validation with the available GNSS/levelling data, mean±STD (in m) for India is -0.33±0.49. However, on cluster-wise validation in the four regions of the country, Uttar Pradesh West, Uttar Pradesh East, Hyderabad, and Bangalore, mean±STD (in m) are -0.73±0.21, -0.84±0.09, -0.00±0.16, and 0.72±0.03, respectively. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
description: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).
DOI: 10.5281/zenodo.17876332
title: Tunneling as the Quantum-Limit Form of the Young Experiment (CRVD)

description: با ضمیمه فارسی

Both the Young interference and the quantum‑tunneling phenomena express theacross geometrically defined same universal conservation of volumic tensionapertures. This unification bridges the gap between the wave-interference,formalism commonly used in quantum mechanics )QM( and the continuousphysically tangible field model proposed by CRVD. This framework offers acoherent, deterministic description of sub-atomic dynamics rooted in the. topology and continuity of the underlying volumic field
DOI: 10.5281/zenodo.17876331
title: Tunneling as the Quantum-Limit Form of the Young Experiment (CRVD)

description: با ضمیمه فارسی

Both the Young interference and the quantum‑tunneling phenomena express theacross geometrically defined same universal conservation of volumic tensionapertures. This unification bridges the gap between the wave-interference,formalism commonly used in quantum mechanics )QM( and the continuousphysically tangible field model proposed by CRVD. This framework offers acoherent, deterministic description of sub-atomic dynamics rooted in the. topology and continuity of the underlying volumic field
DOI: 10.5880/pik.2018.010
title: Continuous national Gross Domestic Product (GDP) time series for 195 countries: past observations (1850-2005) harmonized with future projections according the Shared Socio-economic Pathways (2006-2100)

description: Version history:This data are a new version of Geiger et al (2017, http:doi.org/10.5880/PIK.2017.003). Please use this updated version of this dataset which contains the following correction of errors in the original dataset: The linear interpolation in GDP per capita for Aruba (ABW) between observations in 2005 and SSP2 projections in 2010 was replaced by observed GDP per capita values for the years 2006-2009, as the SSP2 projection for Aruba turned out to be incorrect. As a result of this, the national GDP per capita and GDP timeseries for Aruba between 2006 and 2009 is different from the previous version.
      We here provide three different economic time series that amend or combine various existing time series for Gross Domestic Product (GDP), GDP per capita, and population to create consistent and continuous economic time series between 1850 and 2009 for up to 195 countries. All data, including the data description are included in a zip folder (2018-010_GDP_1850-2009_Data_v2.zip):
      (1) A continuous table of global income data (in 1990 Geary-Khamis $) based on the Maddison Project data base (MPD) for 160 individual countries and 3 groups of countries from 1850-2010: Maddison_Project_data_completed_1850-2010.csv.
      (2) A continuous table of global income data (in 2005 PPP $, PPP = purchasing power parity) for 195 countries based on a merged and harmonized dataset between MPD and Penn World Tables (PWT, version v8.1) from 1850-2009, and additionally extended using PWT v9.0 and World Development Indicators (WDI), that is consistent with future GDP per capita projections from the Shared Socioeconomic Pathways (SSPs): GDP-per-capita-national_PPP2005_SSP-harmonized_1850-2009_v2.csv.
      (3) A continuous table of global GDP data (in 2005 PPP $) for 195 countries from 1850-2009 based on the second income data set multiplied by country population data, again consistent with future SSP GDP projections: GDP-national_PPP2005_SSP-harmonized_1850-2009_v2.csv.
      These data are supplemented by a masking table indicating MPD original data and amended data based on current country definitions (Maddison_data_availability_masked_1850-2010.csv) and a file with PPP conversion factors used in this study (PPP_conversion_factors_PPP1990-PPP2005.csv).
      We use various interpolation and extrapolation methods to handle missing data and discuss the advantages and limitations of our methodology. Despite known shortcomings this data set aims to provide valuable input, e.g., for climate impact research in order to consistently analyze economic impacts from pre-industrial times to the distant future. More information about data sources and data format description is given in the data description file (2018-010_Data-Description-GDP_1850-2009_v2.pdf).
DOI: 10.5880/gfz.1.2.2020.001
title: Ferry Gravimetry Data from the EU FAMOS project

description: Within the European Union FAMOS project, GFZ performed two gravimetry campaigns on commercial ferries in the Baltic Sea in 2017 and 2018. The nature of such “non-dedicated” campaigns is different from “dedicated” campaigns which are performed on research vessels with tracks planned according to gravity measurement needs. The non-dedicated campaigns use non-survey vessels (e.g. ferries) or survey vessels running for other purposes (e.g. hydrographic measurements). Measurements conducted on such conditions may require additional corrections besides the typical marine gravimetry corrections. We investigated two additional corrections, namely the vertical accelerations due to the motion of the ferry in the vertical direction and the dynamical effect due to the cross-coupling between horizontal and vertical acceleration components. To assess the usefulness of non-dedicated campaigns, we analysed gravity measurements collected on two commercial ferries and demonstrated that the standard processing without the above mentioned two corrections, as used in dedicated campaigns, already delivers good quality end products that fulfil the requirements of a typical marine gravimetry survey with an uncertainty of about 1 mGal for a much lower cost. Therefore, the data published in this contribution is a product of the same algorithm we use for dedicated campaign measurements. Based on our findings, we suggest that gravimetry campaigns on commercial ferries can be used to complement dedicated marine gravimetry campaigns and contribute to geodetic purposes.
DOI: 10.5880/gfz.4.1.2018.001
title: Catalogue of Earthquake Hypocenters for Northern Chile Compiled from IPOC (plus auxiliary) seismic stations

description: The present dataset is a comprehensive earthquake catalogue for the Northern Chile subduction zone forearc, determined from IPOC seismic station data (GFZ and CNRS-INSU 2006; http://doi.org/10.14470/PK615318) plus some auxiliary stations  (IPOC = Integrated Plate Boundary Observatory Chile; http://www.ipoc-network.org). The method of automatized earthquake catalogue retrieval, the different relocation steps as well as the different earthquake class labels and the structures outlined by the seismicity are described in detail in Sippl et al. (2018). Unlike the catalogue that is supplied as a supplementary file with said paper, this record here will grow over the years, i.e. data from additional years beyond 2014, processed in the same way, will be added.
      The columns of the data files are:year, month, day, hour, minute, second, latitude [dec. degrees], longitude [dec. degrees], depth [km], magnitude [ML], identifier
      The identifier term provides a first-order spatial classification of the seismicity, an explanation is given in Table 1 of Sippl et al. (2018).
DOI: 10.5880/gfz.2.3.2018.004
title: Preliminary minute mean values of geomagnetic observatory Villa Remedios, Bolivia, August 2010

description: The dataset contains minute mean values of the geomagnetic field expressed as northward component X, eastward component Y, and vertical (downward) component Z as measured at the geomagnetic observatory Villa Remedios, Bolivia, for August 2010. 
      Villa Remedios (preliminary code VRE) is operated in cooperation by the university Universidad Mayor de San Andrés in La Paz, Bolivia, and GFZ German Research Centre for Geosciences since the end of 2002. The observatory is not yet an INTERMAGNET observatory and so far, no data has been submitted to any World Data Centre for Geomagnetism. However, preliminary geomagnetic data (minute means) from Villa Remedios are available upon request from GFZ. Please note that a dataset based on the data provided here will be submitted to the WDC for Geomagnetism at a later stage and might differ slightly due to calibration and removal of outliers.
      Villa Remedios is located about 650 km south of the magnetic equator and about 930 km south-east of the geomagnetic observatory Huancayo (IAGA code HUA, Peru). This makes VRE a suitable observatory to be used in conjunction with HUA to isolate and study the equatorial electrojet signal at Huancayo.
      The data file is in ASCII format and contains blank-separated the year (YYYY), the month (MM), the day (DD), the time (UTC) in the format hh.mm, the X component in nanotesla (nT), the Y component in nT, the vertical component Z in nT, the total geomagnetic field F in nT measured with an independent, auxiliary scalar magnetometer, and, finally, the difference (in nT) between F measured with the auxiliary scalar magnetometer and the total field calculated from the components X, Y and Z. Components X, Y and Z are measured with an FGE variometer (serial number S0199, E0213 built by DTU Space, Technical University of Denmark) and in this data file, they are preliminarily calibrated and given in nanotesla (nT). These values are minute means and filtered from spot readings by an INTERMAGNET Gauss-shaped filter. The scalar magnetometer is a GSM90F1 by Gemsys, Canada. The data logger is a Flare+ by British Geological Survey.
      Geomagnetic observatories are described in, e.g., Jankowski and Sucksdorf (1996), in Matzka et al., (2010), and Matzka (2016).
DOI: 10.5880/fidgeo.2022.021
title: River terrace height and width analysis

description: Climatically formed alluvial river-terrace sequences offer an exceptional opportunity to study valley-width evolution under similar discharge and lithologic conditions. To investigate additional parameters controlling valley width, we globally compiled alluvial-terrace sequences that have been associated with late Quaternary climate changes. All terrace cross-sections that are accepted to our compilation (1) include both valley sides, (2) show absolute values of distance and height, as well as profile location, and, (3) display a minimum of three terrace levels out of which at least one is preserved as a paired terrace. The terrace width and height measurements are summarized in this dataset. The data are presented as Excel and ASCII tables.
DOI: 10.5880/fidgeo.2018.013
title: Frictional and microanalytical data of basalts sheared with pressurized H2O- and CO2- rich fluids

description: Here we report the raw data of the friction experiments performed on basalt-built faults pressurized with de-ionized H2O, pure CO2, pure Ar, and H2O+CO2 mixtures, respectively (Dataset_friction_basalts.zip). The experiments were designed to assess the effects of the fluid chemistry on fault reactivation in faults juxtaposing basalts with different state of hydrothermal alteration. The experiments setup and data are further described in Giacomel et al (2018) to which these data are supplementary material. Laboratory faults were deformed at a constant normal stress over the range from 10 to 20 MPa, at a shear stress of 5 MPa and a starting fluid pressure from 0.5 to 5 MPa. Fluid pressure was increased stepwise of 0.1 MPa/100 s up to induce macroscopic frictional instability, i.e. the equivalent to a main shock in nature. Our mechanical data point to the paucity of any significant chemical weakening due to fluid-rock interation, regardless of the composition of the injected fluid and the degree of hydrothermal alteration of basalts. Moreover, microRaman investigation evidenced a few carbonate patches at the end of the tests performed in H2O+CO2 mixtures (Dataset_raman_calcite_s1018.txt and Dataset_raman_dolomite_s1018.txt).
DOI: 10.5880/fidgeo.2022.011
title: Experimental data of analogue models addressing the influence of crustal strength, tectonic inheritance and stretching/ shortening rates on crustal deformation and basin reactivation

description: This dataset includes video sequences and strain analysis of 12 analogue models studying crustal-scale deformation and basin reactivation, performed at the Laboratory of Tectonic modelling of the University of Rennes 1. These models show how parameters such as crustal strength, tectonic inheritance and boundary conditions (ishortening/ stretching) control both the distribution of crustal strain and the possibility for pre-existing structures to be reactivated. This dataset includes top-view movies of the 12 models, including strain analysis based on displacement vectors obtained from digital image correlation. Detailed descriptions of models can be found in Guillaume et al. (2022, special issue of Solid Earth on Analogue modelling of basin inversion) to which this dataset is supplementary.