cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/gfz.2.5.2025.001
title: Results of serpentinization and associated natural H2 potential analysis in rift-inversion orogen systems using a numerical geodynamic modelling approach

description: This data set includes videos depicting the evolution of nine numerical tectonic models simulating rift-inversion orogens. For these models we apply the 2D thermo-mechanical geodynamic code ASPECT, coupled with FastScape for the inclusion of surface processes. Using the results from these models, we examine mantle serpentinization in rift-inversion orogens, and their associated natural hydrogen gas (H2) potential. Detailed descriptions of the model set-up and results can be found in Zwaan et al. (2025) in Science Advances.
DOI: 10.5880/fidgeo.2023.024
title: Seismicity catalogue for the Eastern Alps (Swath-D)

description: We present a new, consistently processed seismicity catalogue for the Eastern and Southern Alps, based on the temporary dense Swath-D monitoring network. The final catalogue includes 6,053 earthquakes for the time period 2017-2019 and has a magnitude of completeness of −1.0ML. The smallest detected and located events have a magnitude of −1.7ML. Aimed at the low to moderate seismicity in the study region, we generated a multi-level, mostly automatic workflow which combines a priori information from local catalogues and waveform-based event detection, subsequent efficient GPU-based event search by template matching, P & S arrival time pick refinement and location in a regional 3-D velocity model. The resulting seismicity distribution generally confirms the previously identified main seismically active domains, but provides increased resolution of the fault activity at depth. In particular, the high number of small events additionally detected by the template search contributes to a more dense catalogue, providing an important basis for future geological and tectonic studies in this complex part of the Alpine orogen.
description: Seismicity catalogue Python codes & metadata Seismicity cross-sections
DOI: 10.5880/fidgeo.2025.009
title: Subsurface Vp and Vs model of crust and upper mantle under the Alps

description: The model contains the 3D structure of Vp and Vs in the crust and the mantle under the European Alps, as published in Kästle et al. (2025). It is the result of a direct inversion of surface-wave data, from ambient noise and earthquake records, and of teleseismic P and S wave data. A Bayesian tomography approach is used where we implement a reversible jump Markov chain Monte Carlo method to constrain the free parameters. This gives not only the mean Vp and Vs values, but also their uncertainties, as well as a distribution (histograms) of the sampled velocity parameters at each point of the model.
description: The Priority Programme "Mountain Building Processes in Four Dimensions (4D-MB SPP), funded by the German Research Foundation (DFG) for six years (beginning in 2017). 
 
The 4D-MB SPP forms an integral part of the international AlpArray mission to image the structure of the Alps from their surface down to several hundred kilometers depth in the mantle. It tests the hypothesis that re-organizations of Earth’s mantle during the collision of tectonic plates have both immediate and long-lasting effects on crustal motion, fault kinematics, earthquake distribution and surface evolution. It challenges conventional wisdom by recognizing that linked processes between Earth’s surface and mantle beneath mountain belts can only be explained by integrating 3D imaging of the entire crust-mantle system with geologic observations and modeling to enable us to look both backwards and forwards in time, the 4th dimension. This requires a multi- and interdisciplinary approach that integrates geophysics, tectonics, petrology, geochronology, basin- and surface studies.
DOI: 10.5880/enmap.2015.005
title: Nationalpark Hunsrück-Hochwald, 2014-05-05 - An EnMAP Preparatory Flight Campaign (Datasets)

description: The dataset consists of hyperspectral imagery acquired during airplane overflights on 5th May 2014 that contain 242 spectral bands, ranging from VIS to SWIR (423 - 2438 nm) wavelength regions. It covers an area of about 116 km² which is dominated by spruce and beech forests. The flight campaign was part of several campaigns aiming at the creation of a multitemporal hyperspectral data set of the newly founded National Park Hunsrück-Hochwald in Rhineland Palatinate, Germany.
description: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights.
DOI: 10.5880/enmap.2017.002
title: Köthen 2011/ 2012 - An EnMAP Preparatory Flight Campaign

description: The dataset is composed of hyperspectral imagery acquired during airplane overflights on May 10th, 2011, June 27th, 2011 and May 24th, 2012 consisting of 367 and 368 spectral bands, respective-ly, ranging from VIS to SWIR (400 - 2500 nm) wavelength regions. The hyperspectral image data was acquired in the framework of the EnMAP preparation project HyLand (Hyperspectral remote sensing for the assessment of crop and soil parameters in precision farming and yield estimation). Within the project, innovative techniques were developed to derive crop and soil parameters from hyper-spectral remote sensing and terrestrial laser scanning data, which served as input parameters for novel yield estimation models.
description: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extract-ing geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal (http://www.enmap.org/?q=flightbeta).
DOI: 10.5880/enmap.2023.001
title: Berlin as seen by EnMAP - a (hyperspectral) dataset for active participation in the HYPERedu MOOC on preprocessing techniques

description: The dataset contains a spaceborne hyperspectral image acquired by EnMAP over Berlin, Germany, and surrounding areas on July 24th, 2022. The data was preprocessed to Level 1B format (systematically and radiometrically corrected) and is provided in separate BSQ files for the VNIR and SWIR sensor of the instrument, respectively. The Level 1B product is accompanied by a history file (xml), a metadata file (xml), six quality masks (cirrus, classes, cloud, cloud shadow, haze and snow) as well as quality test flags and pixel masks for the VNIR and SWIR files separately (all TIF format). In addition, this dataset comes with a digital elevation model, COP-DEM-GLO-30-R (ESA, Copernicus) and a Sentinel-2 scene (ESA, Copernicus) as references for geometric and atmospheric correction with the EnMAP processing tool (EnPT). Please note that the two datasets described above are NOT part of the same license as the EnMAP data. The dataset is made publicly available as part of the Massive Open Online Course (MOOC) "Beyond the Visible - EnMAP data access and image preprocessing techniques", available from July 2023. Guidance on preprocessing hyperspectral imagery in general, access to EnMAP data and a hands-on tutorial on preprocessing of EnMAP data with EnPT in the EnMAP-Box (QGIS plugin) are provided as videos at the HYPERedu YouTube channel, the MOOC course page and the EnPT documentation. More information about the EnMAP mission can be found on the mission website and in Guanter et al. (2016) and Storch et al. (2023).
description: HYPERedu is an education initiative within the Environmental Mapping and Analysis Program (EnMAP), a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical variables, which provide information on the status and evolution of various terrestrial and aquatic ecosystems.
DOI: 10.5880/enmap.2020.002
title: 2013 Simulated EnMAP Mosaics for the San Francisco Bay Area, USA

description: This dataset is composed of simulated EnMAP mosaics for the San Francisco Bay Area, USA. Hyperspectral imagery used for the EnMAP simulation was collected across three time periods (Spring, Summer, and Fall) in 2013 with the AVIRIS-Classic sensor flown as part of the HyspIRI Preparatory Campaign. Flight lines were simulated to EnMAP-like data using the EnMAP end-to end Simulation tool to produce 30 x 30 m imagery with 195 bands (after band removal) ranging from 423 to 2439 nm. Secondary geometric correction was applied using automatically generated tie points, and a class-wise empirical across track brightness correction was implemented to mitigate brightness gradients.
description: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extract-ing geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal (http://www.enmap.org/?q=flights).
DOI: 10.5880/enmap.2021.002
title: 2013 Simulated EnMAP Mosaics for the Santa Barbara region, USA

description: This dataset is composed of three-season simulated EnMAP mosaics for the Santa Barbara region, USA. HyspIRI Airborne Campaign AVIRIS imagery from spring, summer and fall formed the basis for simulating EnMAP data with 30 m spatial resolution and 195 spectral bands ranging from 420 to 2450 nm. The mosaics are provided as Analysis-Ready-Datasets (tiled surface reflectance products) to be used for regional-scale and multi-season hyperspectral image analysis of California’s diverse ecoregions. The dataset primarily intends to support the development of processing algorithms and to demonstrate spaceborne hyperspectral data capabilities during the pre-launch activities of the forthcoming EnMAP mission. This dataset was processed in line with companion simulated EnMAP mosaics for the San Francisco Bay Area and for the Lake Tahoe region.
description: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extract-ing geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal (http://www.enmap.org/?q=flights).
DOI: 10.5880/enmap.2021.003
title: 2013 Simulated EnMAP Mosaics for the Lake Tahoe region, USA

description: This dataset is composed of three-season simulated EnMAP mosaics for the Lake Tahoe region, USA. HyspIRI Airborne Campaign AVIRIS imagery from spring, summer and fall formed the basis for simulating EnMAP data with 30 m spatial resolution and 195 spectral bands ranging from 420 to 2450 nm. The mosaics are provided as Analysis-Ready-Datasets (tiled surface reflectance products) to be used for regional-scale and multi-season hyperspectral image analysis of California’s diverse ecoregions. The dataset primarily intends to support the development of processing algorithms and to demonstrate spaceborne hyperspectral data capabilities during the pre-launch activities of the forthcoming EnMAP mission. This dataset was processed in line with companion simulated EnMAP mosaics for the San Francisco Bay Area and for the Santa Barbara region.
description: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extract-ing geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal (http://www.enmap.org/?q=flights).
DOI: 10.5880/digis.2025.004
title: U-Pb age, whole rock and mineral composition of the Angicos Plutonism (Angicos Batholith and Poço da Oiticica Stock) from northern Borborema Province, NE Brazil

description: This dataset comprises new chemical, isotopic and geochronological analyses for 14 samples from the Angicos Plutonism (Angicos Batholith and Poço da Oiticica Stock) from northern Borborema Province, NE Brazil. 
 
 
 
Whole rock major and trace element compositions as well as mineral oxide compositions for feldspars, biotite, and Fe-oxides. New analyses on 14 samples are presented in the bulk and in-situ data templates developed by EarthChem. A compilation of all new analyses and previous whole-rock data from Jardim de Sá (1994) are also provided. Analyses were carried out at the Geoanalítica Core Facility at the Instituto de Geociências, University of São Paulo, Brazil. 
 
 
 
The data are reported with the EarthChem/ DIGIS data templates (IEDA, 2022).
description: The DIGIS geochemical data repository is a research data repository in the Earth Sciences domain with a specific focus on geochemical data. The repository archives, publishes and makes accessible user-contributed, peer-reviewed research data in standardised form (EarthChem Team, 2022, https://doi.org/10.26022/IEDA/112263) that fall within the scope of the GEOROC database (https://georoc.eu). All submissions of new data will be considered for inclusion in the GEOROC database. It is hosted at GFZ Data Services through a collaboration between the Digital Geochemical Data Infrastructure (DIGIS) for GEOROC 2.0 (https://digis.geo.uni-goettingen.de) and the GFZ German Research Centre for Geosciences.
DOI: 10.5880/fidgeo.d.2024.002
title: Tungsten concentrations and tungsten EXAFS and XANES data in hydrothermal solutions

description: Tungsten concentrations in aqueous fluids in equilibrium with tungsten oxides and synthetic scheelite (CaWO3) at pressures up to 50 MPa and temperatures up to 400°C. Further, EXAFS and XANES data for constraining the W species up to 400°C and up to 60 MPa. The dataset consists of i) experimentally determined W concentrations at pressure and temperature in H2O, HCl-solutions and NaCl-solutions; the concentration were determined by the x-ray absorption technique in situ at pressure and temperature; ii) EXAFS and XANES spectra and associated fit results for constraining the W-species in the fluid; iii) results of thermodynamic modelling based on thermodynamic properties derived from the W solubility data and data from the literature.
DOI: 10.5880/wsm.germany2016_en
title: Stress Map Germany 2016

description: The stress map of Germany shows the orientation of the current maximum horizontal stress (SHmax) in the earth's crust. Assuming that the vertical stress (SV) is a principal stress, SHmax defines the orientation of the 3D stress tensor; the minimum horizontal stress Shmin is than perpendicular to SHmax. In the stress map the SHmax orientations are represented as lines of different lengths. The length of the line is a measure of the quality of data and the symbol shows the stress indicator and the color the stress regime. Data with E-Quality are shown without additional information as dots on the map. The stress data are freely available and part of the World Stress Map (WSM) project. For more information about the data and criteria of data analysis and quality mapping are plotted along the WSM website at http://www.world-stress-map.org.The German version of the World Stress Map Germany is available via http://doi.org/10.5880/WSM.Germany2016.
description: The World Stress Map (WSM) is a global compilation of information on the crustal present-day stress field. It is a collaborative project between academia and industry that aims to characterize the stress pattern and to understand the stress sources. It commenced in 1986 as a project of the International Lithosphere Program under the leadership of Mary-Lou Zoback. From 1995-2008 it was a project of the Heidelberg Academy of Sciences and Humanities headed first by Karl Fuchs and then by Friedemann Wenzel. Since 2009 the WSM is maintained at the GFZ German Research Centre for Geosciences and since 2012 the WSM is a member of the ICSU World Data System. All stress information is analysed and compiled in a standardized format and quality-ranked for reliability and comparability on a global scale.
DOI: 10.5880/wsm.germany2016
title: Spannungskarte Deutschland 2016

description: Die Spannungskarte Deutschland zeigt die Orientierung der gegenwärtigen maximalen horizontalen Spannung (SHmax) in der Erdkruste. Unter der Annahme, dass die vertikale Spannung (SV) eine Hauptspannung ist, legt SHmax die Orientierung des 3D Spannungstensors festgelegt; die minimale horizontale Spannung Shmin ist entsprechend senkrecht zu SHmax. In der Spannungskarte sind die SHmax Orientierungen als Linien unterschiedlicher Länge dargestellt. Die Länge der Linie ist dabei ein Maß für die Datenqualität und das Symbol zeigt die Methode und die Farbe das Spannungsregime an. Daten mit E-Qualität sind ohne weitere Information als Punkte in der Karte dargestellt. Die Spannungsdaten sind frei zugänglich und Bestandteil des World Stress Map (WSM) Projektes. Weitere Informationen zu den Daten und Kriterien der Datenanalyse und Qualitätszuordnung befinden sich auf der WSM Internetseite unter http://www.world-stress-map.org. The English version of the World Stress Map Germany is available via http://doi.org/10.5880/WSM.Germany2016_en.
DOI: 10.5281/zenodo.17877220
title: Dataset - Development of a Digital Twin for Anionic Polymerization – The Importance of Reliable Substance Data

description: Data Publication – Dataset - Development of a Digital Twin for Anionic Polymerization – The Importance of Reliable Substance Data

 Felix Kandelhard1, Juliane Schymura1 and Prokopios Georgopanos1*

1 Helmholtz-Zentrum Hereon, Institute of Membrane Research

* Corresponding Author, Contact: prokopios.georgopanos@hereon.de

The presented data are the experimental data corresponding to the publication “Development of a Digital Twin for Anionic Polymerization – The Importance of Reliable Substance Data” dealing with the modeling of anionic polymerization of Styrene-b-Isoprene (PS-b-PI ) copolymer carried out in cyclohexane. 

 

The dataset contains:

 

1.     Determination of the heat capacities (cp) of cyclohexane and PS-b-PI block copolymer by differential scanning calorimetry (DSC) including the heat capacity of the reference sapphire sample. (Folder name: Cp_measurement_CyH_PSPI)

 

2.     Viscosity and density data of different PS and PS-b-PI solutions in cyclohexane including varying concentrations and molar masses. The data are used to calculate the Mark-Houwink-Sakurada parameters The dataset furthermore includes the gel permeation chromatography (GPC) data of the used polymers. (Folder name: Viscosimetry, Viscosimetry.xlsx, subfolder GPC)

 

3.     Experimental details from the large-scale batch polymerization reactions (R1-R6) with the process parameters of the reactor (temperature, pressure, stirring speed) and the GPC data of the PS-block and the PS-b-PI block copolymer (each evaluated based on PS and PI standards) while for the case of R1-R4 also the proton nuclear magnetic resonance (1H-NMR) of the PS-b-PI block copolymers spectra.

Folder names: 

1.     R1_large_batch_reaction_240604_PSPI_inclinedblade_40degC_10wt%

2.     R2_large_batch_reaction_240612_PSPI_inclinedblade_60degC_10wt%

3.     R3_large_batch_reaction_240709_PSPI_inclinedblade_40degC_15wt%

4.     R4_large_batch_reaction_240529_PSPI_Spiral_40degC_10wt%

5.     R5_large_batch_reaction_241112_PSPI_inclinedblade_40degC_10wt%_Target25

6.     R6_large_batch_reaction_250402_PSPI_Spiral_40degC_10wt%_Target50