cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/fidgeo.2022.009
title: Experimental dataset for the influence of grain size distribution on experimental volcanic lightning

description: This data publication provides data from 96 experiments from 2020 to 2022 in the gas-mixing lab at the Ludwig-Maximilians-Universität München (Germany). The experiments were conducted to investigate the influence of grain size distribution, especially the influence of very fines [&lt;10 µm] on the generation of experimental volcanic lightning (VL). The influence of grain size distribution was tested for three different materials. Experimental discharges during rapid decompression were evaluated by their number and their total magnitude. The three materials used in this study are a tholeiitic basalt (TB), industrial manufactured soda-lime glass beads (GB) and a phonolitic pumice from the lower Laacher See unit (LSB). The samples were sieved into several grain size fractions, and coarse and fines were mixed to test the influence of the added fines on the discharge behaviour. For the tholeiitic basalt, the coarse grain size fraction is 180-250 µm, for the glass beads 150-250 µm and for the phonolitic pumice, two coarse grain size fractions, 180-250 µm and 90-300 µm were tested. The experiments were carried out in a new experimental setup, a modification of the shock tube experiments first described by Alidibirov and Dingwell (1996) and its further modifications (Cimarelli et al., 2014; Gaudin & Cimarelli, 2019; Stern et al., 2019). A mixture of coarse and fine sample material is placed into an autoclave and continuously set under pressure with argon gas up to the desired decompression pressure (⁓10 MPa). Then, rapid decompression is initialized, and the sample material is ejected from the autoclave through a nozzle into a gas-tight particle collector tank. The particle collector tank is insulated from the nozzle and the ground and serves as a Faraday cage (FC). All discharges going from the erupting gas-particle mixture, the jet, to the nozzle will be recorded by a datalogger. All the discharges measured during the first 5 ms of ejection were taken into the evaluation of the discharge behaviour. The raw signals of the experiments were evaluated by a processing code developed by Gaudin and Cimarelli (2019). Additionally, the jet behaviour was recorded by a high-speed camera: the gas-exit angle and the exit angle of the gas-particle mixture were determined. The background of the high-speed video was divided into a black side and a white side. The gas-exit angle and the exit angle gas-particle-mixture were determined as the mean of the deviation angle of a straight trajectory angle of both sides.
DOI: 10.5880/gfz.4.2.2021.004
title: Seismicity catalog for the Armutlu Peninsula from 2019 derived using the SMARTnet temporary seismic network

description: The dataset presented here is an earthquake catalog for the central Sea of Marmara (Turkey) obtained by applying a traditional STA/LTA technique to the continuous waveforms. The magnitude of completeness of this catalog is MW = 1.4. The full description of the data processing and creation of the catalog is provided in the paper “Near - fault monitoring reveals combined seismic and slow activation of a fault branch within the Istanbul-Marmara seismic gap in NW Turkey” published by Martínez-Garzón et al., in Seismological Research Letters. The data are provided as the following two ASCII tables: The file 2021-004_Martinez-Garcon-et-al_Initial_seismicity_catalog contains the seismic events for which we could successfully calculate an earthquake location. The ASCII table has the following columns: columns: id, year, month, day, hour, minute, second, serial time, latitude, longitude, depth [km], magnitude, horizontal error [km], vertical error [km], RMS, maximum azimuthal gap [degree]. The table 2021-004_Martinez-Garcon-et-al_Relocated_seismicity_catalog contains the seismic events for which we could refine the initial location and obtain a double-difference refined location. The ASCII table has the following columns: id, latitude, longitude, depth [km], horizontal error [km], vertical error [km].
DOI: 10.15468/dl.5e54ar
title: Occurrence Download

description: A dataset containing 259411 species occurrences available in GBIF matching the query:
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 "DatasetKey is one of (Luxembourg farmland bird survey 2020 - 2024, Luxembourg national monitoring (valerian) 2020-2022, Luxembourg national monitoring (valerian) 2023-2025, The Fungal Collection at the Botanische Staatssammlung München, BIOGEOnet : Bryophytes occurrences in Wallonia)"
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 The dataset includes 259411 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044035-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/gfz.4.4.2022.002
title: Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts

description: As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2022-002_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices.
DOI: 10.15468/dl.phzxgv
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
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 "TaxonKey is Terebella ehlersi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
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 The dataset includes 46 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044095-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/gfz.4.1.2020.001
title: Trajectory models for daily displacement time series in the five years preceding the 2010 Maule Mw 8.8, Chile, and 2011 Tohoku-oki Mw 9.0, Japan earthquakes

description: This supplement contains GNSS displacement time series, fluid loading displacement time series predictions, and trajectory models for these time series. The time series are for the study regions of the paper: "Months-Long thousand-km-scale wobbling before great subduction earthquakes". These study regions are (1) Japan and surrounding countries and (2) Chile and surrounding countries. Network solution daily GNSS time series displacements in Chile and surrounding countries in the South American network have been produced by GFZ. Network solution daily GNSS time series of displacements in Japan have been produced by the Geospatial Information Authority of Japan (GSI). PPP daily GNSS time series of displacements in Japan and surrounding countries have been produced by the Nevada Geodetic Laboratory, Nevada Bureau of Mines and Geology, University of Nevada, Reno. Fluid loading predictions have been made using the HYDL, NTOL, NTAL, and SLEL products of the ESMGFZ. Readme ascii files in this data supplement contain instructions on how the data are ordered. Furthermore, the Readme file contains the relevant references and acknowledgments for readers who want to use these data in their own published studies.
DOI: 10.5880/fidgeo.2022.027
title: A database of R-R-R triple junction analogue and numerical models

description: This dataset presents the raw data from two experimental series of analogue models and four numerical models performed to investigate Rift-Rift-Rift triple junction dynamics, supporting the modelling results described in the submitted paper. Numerical models were run in order to support the outcomes obtained from the analogue models. Our experimental series tested the case of a totally symmetric RRR junction (with rift branch angles trending at 120° and direction of stretching similarly trending at 120°; SY Series) or a less symmetric triple junction (with rift branches trending at 120° but with one of these experiencing orthogonal extension; OR Series), and testing the role of a single or two phases of extension coupled with effect of differential velocities between the three moving plates. An overview of the performed analogue and numerical models is provided in Table 1. Analogue models have been analysed quantitatively by means of photogrammetric reconstruction of Digital Elevation Model (DEM) used for 3D quantification of the deformation, and top-view photo analysis for qualitative descriptions. The analogue materials used in the setup of these models are described in Montanari et al. (2017), Del Ventisette et al. (2019) and Maestrelli et al. (2020). Numerical models were run with the finite element software ASPECT (e.g., Kronbichler et al., 2012; Heister et al., 2017; Rose et al., 2017).
DOI: 10.5880/gfz.2.8.2020.001
title: MLT-averaged Plasmapause Position Calculated from the PINE Plasmasphere Model for the GEM Challenge Events

description: This dataset is the MLT-averaged plasmapause position calculated for the NSF GEM Challenge Events. We use the recently developed Plasma density in the Inner magnetosphere Neural network-based Empirical (PINE) model [Zhelavskaya et al., 2017]. The PINE density model was developed using neural networks and was trained on the electron density data set from the Van Allen Probes Electric and Magnetic Field Instrument Suite and Integrated Science (EMFISIS) [Kletzing et al., 2013]. The model reconstructs the plasmasphere dynamics well (with a cross-correlation of ~0.95 on the test set), and its global reconstructions of plasma density are in good agreement with the IMAGE EUV images of the global distribution of He+. We compare the electron number density value given by the PINE model with the density threshold separating plasmaspheric-like and trough-like density given by [Sheeley et al., 2001] and get the plasmapause position in each MLT. Then, we calculate the MLT-averaged plasmapause position. The. time resolution is 1 hour. These data files presenting the Magnetic Local Time (MLT)-averaged plasmapause position used in the simulations in Wang et al [2020]. The data are presented as the following three tabular ASCII files (.dat) : Lpp_PINE_Sheely_Mean_Mar15_Mar20.dat: content, column1 time [day], column 2 L [Re (Earth Radii)] Lpp_PINE_Sheely_Mean_May30_Jun02.dat: content, column1 time [day], column 2 L [Re (Earth Radii)] Lpp_PINE_Sheely_Mean_Sep17_Sep26.dat: content, column1 time [day], column 2 L [Re (Earth Radii)]
DOI: 10.5880/gfz.1.3.2022.002
title: Geothermal heat flow and thermal structure of the Antarctic lithosphere

description: In Haeger et al. (2022), we created a three dimensional model of the temperature distribution and the geothermal heat flow of the Antarctic lithosphere as well as a new model of the lithosphere-asthenosphere boundary (LAB). The models were obtained in a three-step approach: First, we calculate the initial temperature distribution in the upper mantle by iteratively combining seismic tomography (An et al., 2015; Schaeffer & Lebedev, 2013) and gravity data (Förste et al., 2014; Scheinert et al., 2016) considering composition and density variations self-consistently (Haeger et al., 2019). Second, we define the lithosphere-asthenosphere boundary in a thermal sense based on the resulting geotherm by assuming it corresponds to the 1300°C isotherm. Third, we solve the steady-state heat equation to obtain the temperature distribution and the geothermal heat flow in the lithosphere. One crucial yet still largely unknown factor in the model is the parametrization of the crust. In order to overcome this, we calculated thermal models for a range of crustal properties that are described in detail in Haeger et al. (2022) and the related supplementary material. Here, we only share the conductive temperature and the geothermal heat flow model for the preferred model (n° 29 in the supplementary) in binary netCDF files. Additionally, we present the depth to LAB and surface and mantle heat flow maps, the latter represents the heat flow at the depth of the Moho discontinuity (Haeger et al., 2019) as .txt ascii tables. As a measure of uncertainty of the preferred surface heat flow model, the standard deviation of all calculated models is additionally given. The models are presented in polar stereographic projections with true scale at 71° South (Snyder, 1987) and span ±3700 km with a 10 km spacing in x- and y-direction, respectively. For the netCDF files, the depth ranges from the bedrock surface (BedMachine, Morlighem et al., 2020) which is defined as the 0 level to the LAB in a 1 km spacing. The depths to the Moho and the LAB are given relative to sea level.
DOI: 10.5880/fidgeo.2020.003
title: Fault slip inversion data from the Mur-Mürz fault, Eastern Alps

description: The data set provides the results fault slip inversion analysis, which have been performed with the computer software WinTensor (Delvaux and Sperner, 2003). The raw data underlying these results have been collected during two field campaigns in the Eastern Alps in 2011 and 2013. The data table contains information on the sites where the data collection took place (longitude, latitude in WGS84 coordinate system) as well as results of Win-Tensor calculations including the orientation of the principle finite stress axes (σ1, σ2, σ3), the shape factor (R) and the deformation regime index (R’) (Delveaux et al., 1997). Furthermore, it is shown how many fault-slip data (N) the stress tensor calculation is based on and to which deformation phase as explained in the main text the tensor is related to. The remaining abbreviations include: Outcrop number (ID), dip direction (d.d.), Normal Faulting (NF), Transtensive Faulting (NS), Strike-Slip Faulting (SF), Transpressive Faulting (TS) and Thrust Faulting (TF). The stress regime for each data set is characterized by the stress regime index (R’), which provides a numerically continuous progression from 0-3, where 0 represents radial extension and 3 radial compression (Delvaux et al., 1997). R’ is based on the stress ratio (R), defined as (σ2 – σ3)/ (σ1 – σ3) (e.g. Angelier, 1989) such that R’ equals R for extensional stress regimes, equals 2 – R for strike-slip regimes and equals 2 + R for compressional regimes, respectively (Delvaux et al., 1997).
DOI: 10.5880/pik.2022.001
title: Data from Climate Model Simulations for Triassic-Jurassic Orbital Climate Cycles

description: The data is generated using the Earth System Model CLIMBER-X which simulates climate globally on a 5°x5° horizontal grid. Its coupled atmosphere, ocean, sea-ice and land surface have been used in this study.
description: In "Astronomical Forcing, Continental Drift and CO2 Paced Pangaean Lake Level Cycles" we study the effect of cyclic orbital parameter changes on Late Triassic to Early Jurassic paleoclimates. For this, in total 36 transient climate simulations are performed with reconstructed paleogeographies for 9 time slices in 5 Myr steps (230 to 190 million years ago) at 3 different atmospheric pCO2 values, each driven by a simplified orbital forcing over a 250,000 yr period. The data presented here is the model output on which the results of the main article are based. (The majority of further output data is not included due to its large size, but it can be made available upon request.) Also included are different model configuration files and the scripts to generate the included figures (using the Python programming language in a Jupyter Notebook). The model output data is provided in different NetCDF files, see README for detailed description.
DOI: 10.5880/gfz.1.4.2022.010
title: Code for Methane Flux Data

description: This repository contains the codes produced for the article "Long-term observations reveal rise in early summer methane emissions from Siberian tundra" by Norman Rößger, Torsten Sachs, Christian Wille, Julia Boike and Lars Kutzbach. In the article, the authors report an increasing trend of methane emissions for June and July at a permafrost site in Siberia (Lena River Delta). Using the longest set of observational methane flux data in the Arctic, the authors demonstrate that the continuous warming has begun to trigger the projected enhancement of methane release in Arctic permafrost ecosystems. This software is written in MATLAB. Running the codes ([.m files](Code)) and loading the data files ([.mat files](Data)) requires the pre-installation of [MATLAB](/https://de.mathworks.com/products/matlab.html). IMPORTANT: The repository only contains dummy data. The data that is needed to run the code can be requested by Torsten Sachs and Christian Wille (contact authors). Although the scripts and the data files have been tested for newer versions of MATLAB (&gt;= MATLAB R2017a). The code might also run in older versions of MATLAB, but this has not been tested.
DOI: 10.5880/gfz.4.2.2020.003
title: Ground motion data simulated for various rupture scenarios of magnitude 6.0 earthquake in Southern California

description: This dataset is supplementary material to "Detection limits and near-field ground motions of fast and slow earthquakes" by G. Kwiatek and Y. Ben-Zion published in Journal of Geophysical Research - Solid Earth.The dataset contains spatial variations of ground motions (peak ground velocities) expected from various rupture scenarios of magnitude M6 earthquake that occurs in Southern California area, United States. The performed calculations of ground motions are based on synthetic velocity seismograms calculated with Discrete Wavenumber Method assuming crustal seismic velocities and attenuation properties in Southern California. The selected rupture scenarios include slow- and fast propagating ruptures (varying rupture velocity), crack- and pulse-type rupture type (varying rise time) and different rupture directivities (circular-to-unilateral, circular-to-bilateral ruptures are considered). The dataset allows to reproduce Figures 7-8 and S3-S4 from the original manuscript.
DOI: 10.5880/gfz.1.3.2020.001
title: The mantle flow velocity and maximum principal stress orientation calculated by use of a geodynamical model

description: In the data set we provide both mantle velocity and maximum principal stress orientation resulting from a geodynamical model. The data are calculated with use of the ProSpher 3D code in a spectral domain by spherical harmonics decomposition. The resolution of the model is of 120 spherical harmonics laterally and 50 km in depth. For velocity data (file set: Petrunin-etal19-Vel_XXX.dat), the 1st column represents longitude, 2nd column – latitude, 3d, 4th , 5th – longitudinal, latitudinal, and radial components of velocity in mm/yr, correspondingly. For maximum principal stress orientation data (file set: Petrunin-etal19-SH_XXX.dat), the 1st column represents longitude, 2nd column – latitude, 3d, 4th – longitudinal and latitudinal components of the unit vector representing maximum principal stress direction.
DOI: 10.5880/isg.2020.011
title: The Turkish hybrid geoid: TG-20

description: The Turkish Geoid Model-2020 (TG-20) is currently the official geoid model for Turkey computed by the General Directorate of Mapping, the national mapping agency. It is a hybrid model extending from 35°N to 43°N and from 25°E to 45°E. It was determined using more than 265,000 point gravity data, as well as the GOCO06S global geopotential model and a digital elevation model of 7.2 arc-second resolution based on SRTM V4.1. Free-air gravity anomalies over marine areas and neighboring countries at 1’×1’ resolution were computed using the XGM2019e model up to degree and order 5399. The computation was based on the Least-Squares Modification of Stokes’ Formula with Additive Corrections (LSMSA) method using the LSMS-GEOLAB scientific software. The transformation of the gravimetric model was carried out via 4-parameter fit to 182 historical and homogenously distributed GPS/levelling data. Absolute validation of the resulting hybrid model with 278 recent GPS/levelling data yielded standard deviations ranging from 1.2 cm to 6.3 cm (below 2 cm at almost every test profile) which brought about considerable improvement over the previous official geoid models. TG-20 with 5 arc-min spatial resolution is freely available to the public. 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).