cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/pik.2019.016
title: Data and R-scripts for Dynamic Identifiability Analysis of Process-based Hydrological Model Structures

description: For the article “How to Tailor my Process-based Model? Dynamic Identifiability Analysis of Flexible Model Structures” (Pilz et al., submitted) a flexible simulation environment is coupled with an algorithm for dynamic identifiability analysis to form a diagnostic tool for process-based model building. This associated data description describes first which software is needed (R and the ECHSE model) and how to configure your computer in order to run the model and the analysis. Second, the input data provided within this data set are described. Eventually, the R scripts are described, which were used to initialize and run the model and conduct the subsequent identifiability analysis. This publication comprises the ECHSE model, all R packages in their employed versions, the model setup and results, figures and data presented in the associated research paper, and the R scripts used to initialize and run the model and conduct all analyses.
DOI: 10.5880/gfz.2.5.2020.001
title: Dataset for numerical modeling to investigate plume-plateau subduction initiation

description: This data publication is supplementary material to the paper " Subduction initiation by plume-plateau interaction: Insights from numerical models" (Baes et al., 2020). In this study, using 3-d numerical models, we explore the effect of relative distance of plume head and plateau edge, age of the lithosphere and strength of the lower crust on plume-induced subduction initiation. We use I3ELVIS code which solves the momentum, continuity and energy equations based on a staggered finite difference scheme combined with a marker-in-cell technique (Gerya, 2010; Gerya et al., 2015; Baes et al., 2016). Our numerical results show four different responses (shown in Figures 2-5 in the paper of Baes et al, 2020) that are: (a) oceanic trench formation, (b) circular plateau-oceanic trench formation, (c) plateau trench formation and (d) no trench formation. The results of models in which plume head is far away from the plateau edge are compatible with the outcomes of models with uniform lithospheres. The current data set contains the figures of five models representing five different deformation regimes (shown in Fig. 7 in the paper), which result from interaction of a plume with a homogenous lithosphere. Note that in all figures the upper panels show the logarithm of viscosity within the lithosphere. The middle and lower panels illustrate compositional field of a 2d cross-section cutting through center of model and surface topography, respectively. The color bars of temperature field and surface topography are shown at the top of the figure and colour code of compositional field is at bottom of the figure.
DOI: 10.5880/gfz.4.5.2020.002
title: North Patagonian Massif, Argentina: Lithospheric 3D gravity modelling using upper-mantle density constraints

description: We present a 3-D lithospheric-scale data-constrained structural model covering the area of North Patagonian Massif Plateau (NPM) and its surroundings. These data are supplementary material to “Lithospheric 3D gravity modelling using upper-mantle density constraints: Towards a characterization of the crustal configuration in the North Patagonian Massif area, Argentina” (Gómez Dacal et al. 2017). The North Patagonian Massif (NPM), in central Argentina, includes a plateau of an average altitude of 1200 m.a.s.l. mostly surrounded by basins that stand between 500 to 700 m below it. Geological observations and previous works indicate that the present-day elevation of the plateau was reached in the Paleogene by a sudden uplift that did not involve noticeable deformation. To gain insight into the causes of the uplift and the geodynamic development of the area, it is necessary to characterize the present-day configuration of the lithosphere.
description: The lithospheric-scale 3D model was developed by integrating all the available data of the area (e.g. regional and global models of different layers, seismic data, xenoliths) to build an initial structural model. Details on the datasets used for each model layer are listed in the main article. Furthermore, the initial model was tested against the gravity observations with the objective of assessing the depth of the crust–mantle discontinuity (Moho). The density model was built with IGMAS+ software (Interactive Geophysical Modelling Assistant, Götze and Schmidt, 2010). During the construction of the initial density model, we tested different mantle density scenarios obtained using P- and S-wave velocities from tomographic models, converting them into densities and comparing the conversions with densities obtained from xenoliths.
DOI: 10.5281/zenodo.17349759
title: FutuRaM - Composition - Consolidated Data - Vehicles

description: The transition from internal combustion engine vehicles (ICEVs) to electrified drivetrains fundamentally reshapes material demand and future secondary raw material supply. However, existing data on vehicle composition are fragmented, proprietary, and poorly suited for systematic recoverability assessments. This study presents a harmonized, openly accessible dataset describing the material and elemental composition of the European passenger car fleet (M1 category) from 1980 to 2050. Using a combined top‑down and bottom‑up approach, we integrate historical and projected data for six drivetrain types and multiple vehicle segments, including the rapidly growing crossover utility vehicle class and battery‑electric vehicles. The dataset links products, components, materials, and elements (p‑c‑m‑e), with particular emphasis on critical and strategic raw materials defined by the European Commission. Alloy compositions are standardized using international norms for aluminum and steel, and uncertainty is quantified via a structured data quality framework. The resulting dataset supports robust stock‑and‑flow modelling, recoverability analysis beyond mass‑based indicators, and alignment with emerging regulatory tools such as Digital Product Passports, enabling evidence‑based resource and circular economy strategies.
DOI: 10.5880/gfz.b103-12128.1
title: Supplement to: Fibre Optic Distributed Temperature Sensing Behind Casing: Data From Geothermal Well HE-53, Hellisheiði Geothermal Field, SW Iceland

description: Reinsch et al. (2013) describe the installation of a novel fibre optic cable behind the anchor casing of the geothermal well HE-53, Hellisheiði geothermal field, SW Iceland. Within this data publication, DTS temperature data, acquired together with optical time domain reflectometry (OTDR) data during three different field campaigns are presented. Data have been acquired during the installation in spring 2009, during the onset of a production test in summer 2009 and after a 8.5 month shut-in period in summer 2010.
DOI: 10.15468/dl.hvu2yu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
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 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044490-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17349758
title: FutuRaM - Composition - Consolidated Data - Vehicles

description: The transition from internal combustion engine vehicles (ICEVs) to electrified drivetrains fundamentally reshapes material demand and future secondary raw material supply. However, existing data on vehicle composition are fragmented, proprietary, and poorly suited for systematic recoverability assessments. This study presents a harmonized, openly accessible dataset describing the material and elemental composition of the European passenger car fleet (M1 category) from 1980 to 2050. Using a combined top‑down and bottom‑up approach, we integrate historical and projected data for six drivetrain types and multiple vehicle segments, including the rapidly growing crossover utility vehicle class and battery‑electric vehicles. The dataset links products, components, materials, and elements (p‑c‑m‑e), with particular emphasis on critical and strategic raw materials defined by the European Commission. Alloy compositions are standardized using international norms for aluminum and steel, and uncertainty is quantified via a structured data quality framework. The resulting dataset supports robust stock‑and‑flow modelling, recoverability analysis beyond mass‑based indicators, and alignment with emerging regulatory tools such as Digital Product Passports, enabling evidence‑based resource and circular economy strategies.
DOI: 10.5880/gfz.2.3.2020.001
title: Simulation data from GAIA (Ground-to-topside model of Atmosphere and Ionosphere for Aeronomy)

description: This dataset comprises numerical outputs from the whole atmospheric model GAIA (=Ground-to-topside model of Atmosphere and Ionosphere for Aeronomy) and associated simulations presented in the article "Whole atmosphere model simulations of ultra-fast Kelvin wave effects in the ionosphere and thermosphere" (Yamazaki et al., 2020). GAIA is a numerical model of the Earth’s whole atmosphere (e.g., Jin et al., 2011; Miyoshi et al., 2011). The model consists of mathematical equations appropriate for various physical and chemical processes in the troposphere, stratosphere, mesosphere, and thermosphere. The neutral atmosphere model (Miyoshi & Fujiwara, 2003) is coupled with an ionospheric model (Shinagawa, 2011) and electrodynamics model (Jin et al., 2008). The lower layers of the model below 30 km are constrained by meteorological reanalysis products by the Japan Meteorological Agency (Onogi et al., 2007; Kobayashi, et al., 2015). The model was run for the following three time intervals:1. 15 August 2010 - 15 October 20102. 01 August 2011 - 30 September 20113. 01 December 2012 - 31 January 2013 The simulation outputs can be found in GAIA/2010, GAIA/2011, and GAIA/2013, respectively. In each directory, the model data are stored in a MATLAB format (.mat). List of model outputs:GZ: "Geopotential height" in [m] as a function of LONGITUDE [˚], LATITUDE [˚], PRESSURE, and TIMEGU: "Zonal wind" in [m/s] as a function of LONGITUDE, LATITUDE, PRESSURE, and TIME (positive eastward)GV: "Meridional wind" in [m/s] as a function of LONGITUDE, LATITUDE, PRESSURE, and TIME (positive northward)GT: "Temperature" in [K] as a function of LONGITUDE, LATITUDE, PRESSURE, and TIMEEEF: "Equatorial zonal electric field" in [V/m] as a function of LONGITUDE and TIME.TEC: "Total electron content" in [TECU] as a function of LONGITUDE, LATITUDE, and TIMEPRESSURE is given at: 10^2, 10^1, 10^0, 10^(-1), 10^(-2), 10^(-3), 10^(-4), 10^(-5), 10^(-6), 10^(-7), 10^(-8) [hPa] For the time period #1, additional controlled simulations "LARGE_WAVES" and "NO_UFKW" were run. See Yamazaki et al. (2020) for details of these runs. The simulation outputs can be found in LARGE_WAVES/2011 and NO_UFKW/2011, respectively.
DOI: 10.5880/fidgeo.2020.009
title: Sediment geochemistry data for the publication: “10Be/9Be ratios reveal marine authigenic clay formation”

description: As reverse weathering has been shown to impact long-term changes in atmospheric CO2 levels, it is crucial to develop quantitative tools to reconstruct marine authigenic clay formation. We explored the potential of the beryllium (Be) isotope ratio (10Be/9Be) recorded in marine clay-sized sediment to track neoformation of authigenic clays. The power of such proxy relies on the orders-of-magnitude difference in 10Be/9Be ratios between continental Be and Be dissolved in seawater. On riverine and marine sediments collected along a Chilean margin transect we chemically extracted reactive phases and separated the clay-sized sediment fraction. We compare the riverine and marine 10Be/9Be ratio of this fraction. Moreover, we compare the elemental and mineralogical composition and the Nd and Sr-isotopic composition of these samples. 10Be/9Be ratios increase four-fold from riverine to marine sediment. We attribute this increase to the incorporation of Be high in 10Be/9Be from dissolved biogenic opal, which also serves as a Si-source for the precipitation of marine authigenic clays. 10Be/9Be ratios thus sensitively track reverse-weathering reactions forming marine authigenic clays.
DOI: 10.5880/fidgeo.2020.015
title: HydReSGeo: Field experiment dataset of surface-sub-surface infiltration dynamics acquired by hydrological, remote sensing, and geophysical measurement techniques

description: This dataset comprises data of an interdisciplinary pedon-scale irrigation experiment at a grassland site near Karlsruhe, Germany, including pedo-hydrological, geophysical, and remote sensing data. The objective of this experiment is to monitor soil moisture dynamics during a well-defined infiltration process with a combination of direct and non-invasive techniques. Overall, the quantification of soil water dynamics and, in particular, its spatial distributions is essential for the understanding of land-atmosphere interactions. However, the precise measurement of soil water dynamics and its spatial distribution in a continuous manner is a challenging task. Pedo-hydrological monitoring techniques rely on direct, point-based measurement with buried probes for soil water content and matric potential. Non-invasive remote sensing (RS) and geophysical measurement techniques allow for spatially continuous measurements on different spatial scales and extents. This experiment provides a basis for the analyses of signal coherence between the measurement techniques and disciplines. It contributes to forthcoming developments of monitoring setups and modeling approaches to landscape-water dynamics. For direct monitoring, an array of time-domain reflectometry (TDR) probes and tensiometers was used. As non-invasive techniques, we applied a ground-penetrating radar (GPR), a hyperspectral snapshot sensor, a long-wave infrared (LWIR) sensor, and a hyperspectral field spectroradiometer. We provide the data in nearly raw format, including information about the site properties and calibration references. The data are organized along with the different sensors and disciplines. Thus, the distinct sensor data can also be used independently of each other. In addition, exemplary scripts for reading and processing the data are included.
DOI: 10.5880/gfz.4.4.2020.003
title: Residential exposure to natural hazards in Europe, 2000–2018

description: This dataset provides average national-level current gross replacement costs of the stock of residential assets (buildings and household contents) per m2 of useful floor space. The dataset includes annual time series (2000–2018) for 31 European countries, in nominal and real prices. It is a thorough revision and update of the dataset described in Paprotny et al. (2020), "Estimating exposure of residential assets to natural hazards in Europe using open data", Nat. Hazards Earth Syst. Sci., 20, 323–343, additionally expanded by one country (Croatia) and an aggregate for the European Union (27 countries). The dataset contains data in two formats (CSV and XLSX) and documentation (PDF).
DOI: 10.5880/fidgeo.2020.013
title: Copper isotope fractionation during prehistoric smelting of copper sulfides: experimental and analytical data

description: The project from which the data derived aimed to establish the first systematic study of Cu isotope fractionation during the prehistoric smelting and refining process. For this reason, an experimental approach was used to smelt sulfide copper ore according to reconstructed prehistoric smelting models. The ore was collected by E. Hanning as part of her PhD thesis work from a Bronze Age mining site, the Mitterberg region, Austria (Hanning and Pils 2011) and was made available for the experiments. All starting materials for the experiments such as the natural ore, roasted ore, construction clay, flux, dung (used for the roasting), wood and charcoal (fuel) were natural materials. All firing conditions including the amount of fuel or charging material and the temperatures in the furnaces were recorded, and the experimental procedures were documented in the very detail. In total, 30 experiments were carried out in 4 experimental series. The smelting products, both intermediate products and final products were sampled during or after the respective experiment. Slag, matte and copper metal were the major smelting products. All other materials used in and produced by the experiments were sampled, too. Materials used and produced in the two most promising experimental series with regard to potential Cu isotope fractionation were analyzed. Based on the analytical results, the potential of Cu isotopes as a tool in archaeometallurgical research was systematically evaluated and consequences for the copper isotope application as a provenance tool in archaeometry were identified. The data include the documentation of the experiments, laboratory procedures and analytical methods. An experimental outline was previously published in Rose et al. (2019). Analytical methods applied were ICP-MS (elemental analysis, 80 samples), MC-ICP-MS (copper isotopes, 98 samples), and XRD (phase analysis, 25 samples). The experiments were carried out at the Römisch-Germanisches Zentralmuseum, Labor für Experimentelle Archäologie, Mayen, Germany. Laboratories used for the analytical part of the project were the research laboratories at the Deutsches Bergbau-Museum Bochum and FIERCE (Frankfurt Isotope and Element Research Center), Goethe-University Frankfurt, both Germany. Data were processed and plots created with R (R Core Team 2019) in RStudio®. Data are provided as data tables or text files, the R scripts used to create the time-temperature plots of the smelting experiments are also included. The full description of the data and methods is provided in the data description file.
DOI: 10.5880/gfz.2.4.2020.001
title: Seismic crustal model of Sri Lanka

description: We study the crustal structure of Sri Lanka by analyzing data from a temporary seismic network deployed in 2016-2017 (Seneviratne et al., 2016) to shed light on the amalgamation process from the geophysical perspective. Rayleigh wave phase dispersion from ambient noise cross-correlation and receiver functions were jointly inverted using a transdimensional Bayesian approach (Bodin et al., 2012, Dreiling & Tilmann, 2019). The dataset provides results from Dreiling et al. (2020) and includes multiple files: (1) the ASCII file 1-results.dat, including the Moho depths and Vp/Vs derived from Bayesian inversion and Hκ-stack grid search, and average crustal Vs and depth of mid-crustal interface from Bayesian inversion and uncertainties for each seismic station, as summarized in Table S2 in the Supporting Information to the manuscript, and (2) the ASCII files *_models.dat (*explicit station name), each includes the final median Vs-depth model beneath each station derived from Bayesian inversion, including Vs standard deviations.
DOI: 10.5880/gfz.4.4.2020.002
title: European Catchment Climate Reanalysis Data

description: This dataset contains catchment average time series of five meteorological or hydrological parameters for 3872 hydrometric stations across Europe from 1960-2010. The parameters are: rainfall, soil moisture saturation, snowmelt, snow cover and convective conditions. All parameters have a daily resolution and were derived from a 0.11x0.11° reanalysis dataset. Daily averages were calculated from the pixels within each catchment, weighted by the fraction of pixel area that lies within the respective catchment. This dataset was originally created for the classification of floods by their generating process, but is also suitable for different hydrological studies. The dataset consists of two types of files: (1) The station metadata, which contains latitude, longitude, catchment area and an ID for each hydrometric station.(2) The five time series datasets, which contain one value for each station ID and each day from 1960-01-01 to 2010-12-31.
DOI: 10.5880/gfz.1.4.2019.007
title: Classification of artificial light sources in the Yamal Peninsula, Western Siberia

description: This dataset and code are related to artificial light emissions in the arctic area. They are a supplement to the report "Capabilities and limitations of advanced optical satellite missions for snow, vegetation, and artificial light source applications in Arctic areas". Dataset: The Radiance Light Trends app was used to identify artificial light sources on the Yamal Peninsula in Russia. In order to determine whether a location was lit, a threshold of 5 nW/cm² sr (displayed in yellow in the Radiance Light Trends app) was defined. Visible band daytime imagery from Google Maps and Bing Maps was then used to identify what type of human activity was responsible for the light. The positions of the 78 lit areas and their light source classification are provided in a csv table and kmz file. The classes are defined as: industry, industry / flare, community, ship/ airport, road, water and unknown. This data publication includes the artificial light sources on the Yamal Penninsula (Western Siberia) in .csv and .kmz formats. Code: The data publication includes the python code "Arctic light pollution clustering script", which identifies areas with bright light emissions in the arctic. The script requires the monthly composite images from the Day/Night Band of the Visible Infrared Imaging Radiometer Suite produced by the Earth Observation Group as an input. These data are currently available here: https://eogdata.mines.edu/download_dnb_composites.html
description: Licence for the "Arctic light pollution clustering script": MIT LicenceCopyright (2020) Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.