cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/fidgeo.2025.071
title: A database of analogue models and geophysical data investigating caldera resurgence; DynamiCal project

description: In this dataset we provide data for 6 experimental models of caldera collapse and subsequent resurgence monitored through geophysical sensors (a force or “impact sensor”, Piezotronics PCB 104 200B02 and a Triaxial piezoelectric accelerometer, Model 356B18). The analogue modelling experiments were carried out at the TOOLab (Tectonic Modelling Laboratory), which is a joint laboratory between the Istituto di Geoscienze e Georisorse of the Consiglio Nazionale delle Ricerche, Italy and the Department of Earth Sciences of the University of Florence. 
 
The laboratory work that produced these data was partly supported by the European Plate Observing System (EPOS), by the Joint Research Unit (JRU) EPOS Italia and by the “Monitoring Earth's Evolution and Tectonics” (MEET) project (NextGenerationEU). Specifically, this work was performed in the frame of the DynamiCal project, funded by the 2° TNA-NOA call of the ILGE-MEET project.
DOI: 10.5880/intermagnet.1991.2020
title: Intermagnet Reference Data Set (IRDS) 2020 – Definitive Magnetic Observatory Data

description: Definitive digital values of the Earth's magnetic field recorded during 1991 to 2020 at INTERMAGNET observatories around the world. Data includes minute, hourly and daily vector values, along with observatory baseline values for quality control. Annual means are also included, as are K indices, which quantify disturbance levels at each observatory. All data are included on the downloadable archive files. This is the 30th annual publication in the series. Some national data institutions may have related DOIs that describe subsets of the data. These DOIs are shown under "Related DOIs to be quoted". 
 
For more information on the data formats used in this publication and the technical standards used to create the data, please refer to the INTERMAGNET Technical Manual (https://doi.org/10.48440/INTERMAGNET.2020.001).
description: Geomagnetic data is recorded and quality controlled at the institutions responsible for each observatory. Before becoming a member of INTERMAGNET, institutes must make a detailed submission for each observatory that is to join. This submission is verified by a committee in INTERMAGNET before the observatory is admitted. Only data from INTERMAGNET members is published by INTERMAGNET. Each annual definitive data set is checked for quality by a team of data checkers in INTERMAGNET before the data is admitted to the series for that year.
description: The International Real-time Magnetic Observatory Network (INTERMAGNET) is the global network of observatories, monitoring the Earth's magnetic field. The INTERMAGNET programme exists to establish a global network of cooperating digital magnetic observatories, adopting modern standard specifications for measuring and recording equipment, in order to facilitate data exchange and the production of geomagnetic products in close to real time. INTERMAGNET also coordinates the publication of quality-controlled, definitive geomagnetic data from its affiliated observatories.
DOI: 10.5880/gfz.2.6.2023.011
title: A model of European buildings

description: This data publication provides a European assessment of building exposure, organized country-by-country. The dataset provides information about the number of buildings; the number of occupants; structural information and structural costs of buildings per geographical area. The main purpose of this data collection is risk assessment for natural hazards, however it can be used by anyone in need of a building exposure dataset. 
 
The data holds information about single buildings, with global estimates of built-up area on 10m x 10m pixels and exposure information per district. All OpenStreetMap (OSM) buildings existing in an OSM excerpt from 1 July 2023, 00:00 UTC (OpenStreetMap contributors, 2023), all buildings from the Global ML Building Footprint (GMLBF, Microsoft, 2023) dataset have been processed and for each building the occupancy type and number of stories have been identified based on data in OSM, such as land use and points of interest. The Global Human Settlement Built-up Characteristics 2022A Layer has been used as initial distribution of built area (Pesaresi, 2022). Aggregated exposure information, including the structural information and the number of occupants, stems the ESRM20 (Crowley et al., 2020). 
 
The resulting dataset is distributed per country as an SQLite/SpatiaLite database. Each database contains three tables and one view. The database is organized around three key concepts, that each have their own table. An Entity is a geographical unit that contains exposure. In this dataset, the entities are tiles in a multi-resolution grid, according to the Quad tree structure (Finkel & Bentley, 1974), with the tiles projected using the Web Mercator projection (EPSG:3857). The zoom-level of the Quadkeys inside the grid varies from level-15 to level-18, depending on the number of buildings inside each tile to preserve privacy-sensitive information. Practically, the size of the tiles varies between around 100m x 100m and 1km x 1km. Each entity consists of one or more Assets, defining the number of buildings of a particular structural type and their population and structural value. The structural type is described using a taxonomy string, describing for example structural properties, occupancy type and the expected number of stories. The exact definition of a taxonomy that is used in this dataset is described in the GEM Building Taxonomy v2.0 (Brzev et al., 2013). On top of the tables, one key view has been defined too. A view is essentially a query on the table that give some insights into the data. The `key_values_per_tile` provides the total number of buildings, total number of occupants at night and total structural costs summed over all assets in one tile entity. 
 
This work has received funding from the European Union thought the Geo-INQUIRE project (GA 101058518), within the Research Infrastructures Programme of Horizon Europe.
DOI: 10.5880/fidgeo.d.2025.002
title: Database of Experimental and Modeling Results on Mo Transport in Sulfur-Rich Hydrothermal Fluids: Implications for Porphyry-Epithermal Cu-Au-Mo Deposits

description: We have experimentally studied the role of hydrogen sulfide (H2S and HS‒) and the trisulfur radical ion (S3•‒) in the transport of molybdenum by hydrothermal fluids at 300 °C and 500 bar as a function of pH, redox conditions and sulfur concentration. We combined solubility measurements of molybdenite in hydrothermal reactors using fluid quenching or sampling, with in situ synchrotron X-ray absorption spectroscopy experiments and thermodynamic and molecular modeling. Our solubility and spectroscopic dataset is consistent with the formation of tetrathiomolybdate complex, MoS42‒, in reduced, H2S/HS‒-dominated neutral-to-alkaline pH fluids. A mixed complex with both sulfide and trisulfur radical ion as ligands, MoS3(S3)‒, prevails in more oxidized, acidic-to-neutral pH fluids at the sulfide-sulfate coexistence where S3•‒ is abundant. In both complexes, Mo is nominally hexavalent and in a first-shell tetrahedral coordination with sulfur atoms. The derived equilibrium constants of the formal solubility reactions (log10K): 
 
MoS2(s) + 2 H2S0(aq) + 0.5 O2(g) = MoS42‒ + 2 H+ + H2O(liq) , 
MoS2(s) + H2S0(aq) + S3•‒ + 0.5 O2(g) = MoS3(S3)‒ + H2O(liq) , 
 
at 300 °C and 500 bar are 0.5±0.3 and 14.6±0.5, respectively. The solubility of MoS2(s) predicted using these constants aligns well with Mo concentrations measured in natural fluid inclusions in quartz that record S-rich fluids from porphyry-epithermal systems. In contrast, other types of Mo complexes invoked so far (molybdates, alkali ion pairs, oxy-chlorides or oxysulfides) are negligible at such conditions. Thus, trisulfur radical ion complexes may be important carriers of Mo in hydrothermal fluids and would require further systematic investigation across a wide range of temperature and pressure.
description: The over-riding goal of the DFG priority programm 2238 - DOME (https://www.uni-potsdam.de/en/spp2238/) is to find solutions to fundamental questions of element transport and mineralization in heterogeneous chemical systems that are complex, dynamic and highly transient. The topic of ore genesis has been studied for a long time from a combined field/laboratory perspective and also experimentally in simplified systems, but rarely have these techniques been integrated in a coordinated way with the third perspective from numerical process modeling. The originality and innovation potential of this priority program lies in the coordination of empirical field-related studies that define the geological/mineralogical framework of natural ore systems with experimental work and numerical models that provide a quantitative understanding of the processes involved.
DOI: 10.5880/fidgeo.2025.050
title: Carbon and hydrogen isotope compositions of leaf wax n-alkanes, climate variables and age-depth models used to constrain hydrological regimes along Chile during the last 20,000 years.

description: This data publication is supplementary to a study reconstructing hydrological regimes along Chile since the Last Glacial Maximum to investigate the forcing mechanisms and teleconnections affecting the climate of the west coast of South America by Läuchli et al. (2025). 
 
The dataset contains (1) a compilation of previously published and newly acquired radiocarbon ages for the gravity cores GeoB7139-2 (R/V Sonne Cruise SO156, Hebbeln and Shipboard Scientists, 2001), GeoB 3304-5 (R/V Sonne Cruise SO102, Hebbeln and Shipboard Scientists, 1995) and 22SL (Sonne Cruise SO161-5, Wiedicke-Hombach and Shipboard Scientific Party, 2002), (2) age-depth models generated for the gravity cores GeoB7139-2, GeoB3304-5 and 22SL, (3) the carbon and hydrogen isotope compositions of leaf wax n-alkanes for sites GeoB3304-5 and 22SL, (4) the carbon isotope composition of fluvial and marine surface sediments along Chile previously reported by Gaviria-Lugo et al. (2023) and (5) catchment-averaged climate variables derived from global maps. 
 
The dataset is provided here as a single .xlsx file containing several data sheets. In addition, a CSV file is provided for each table. 
 
The data were acquired as part of the German Science Foundation (DFG) priority program SPP-1803 “EarthShape: Earth Surface Shaping by Biota” initiated and lead by Friedhelm von Blanckenburg and Todd Ehlers. The GeoB cores samples were provided by the MARUM Research Center (Bremen). The 22SL gravity core was stored and supplied by the Bundesanstalt für Geowissenschaften und Rohstoffe (BGR, Hannover).
description: The DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota" (2016-2022; https://www.earthshape.net/) explored between scientific disciplines and includes geoscientists and biologists to study from different viewpoints the complex question how microorganisms, animals, and plants influence the shape and development of the Earth’s surface over time scales from the present-day to the young geologic past. All study sites are located in the north-to-south trending Coastal Cordillera mountains of Chile, South America. These sites span from the Atacama Desert in the north to the Araucaria forests approximately 1300 km to the south. The site selection contains a large ecological and climate gradient ranging from very dry to humid climate conditions.
DOI: 10.5880/fidgeo.2025.049
title: Database of in situ Raman spectra from Ca- and Mg-ATP solutions at 80 °C, 100 °C and 120 °C for determination of the rate constant of the ATP hydrolysis

description: In biochemical systems, enzymes facilitate the endergonic reaction of adenosine diphosphate (ADP) to adenosine triphosphate (ATP) via pathways such as oxidative phosphorylation by mem-brane-bound ATP synthase or substrate-level phosphorylation. The energy stored in ATP is re-leased through enzymatic control of exergonic hydrolysis, which powers other essential ender-gonic reactions, thus earning ATP the name as the universal energy currency. The non-enzymatic hydrolysis of ATP to ADP in the absence of biological processes increases and counteracts this biological process. It is believed that this is a key factor in defining the operational limits of liv-ing organisms (Bains et al., 2015). The in-situ procedure developed by Moeller et al. (2022, 2024), which employs Raman spec-troscopy, has facilitated the exploration of the effects of pressure, temperature, and ionic com-position on the kinetics of ATP-ADP hydrolysis in an effective manner. Raman spectroscopy can be combined with a hydrothermal diamond anvil cell, thereby enabling measurements in an isochoric system at pressures up to 2000 MPa (Moeller et al., 2024). Another configuration for in-situ Raman spectroscopy at elevated pressures and temperatures employs an autoclave with optical high-pressure windows, as demonstrated by Louvel et al. (2015). This system is capable of operating at pressures up to 200 MPa, with independent control of pressure and temperature, allowing for isobaric temperature series to be conducted. In living organisms, ATP is activated by complexation with Mg2+. The objective of this study was to provide new kinetic data on ATP hy-drolysis and offer further insights into this key metabolite under extreme conditions, thus ex-tending the datasets of Moeller et al. ([dataset] 2024A, B). This data publication presents the complete set of Raman spectra obtained in situ for Na2H2ATP solutions with MgCl2, CaCl2, and NaCl at temperatures of 80 °C, 100 °C, and 120 °C under vapor saturation or at 20 MPa. The data were employed to ascertain the rate constants for ATP hydro-lysis to ADP across eight distinct chemical compositions. An elaborative thermodynamic model was used to mimic the chemical system at experimental conditions. The results are a compre-hensive database of ATP species concentrations at 80 °C, 100 °C, and 120 °C, which is provided herewith.
DOI: 10.5880/gfz.itsj.2025.003
title: Homogenized regional seismicity catalogue for the Marmara region, northwestern Turkey, for the time in-terval 2021-2023

description: The dataset is an extended and updated version of the homogenized regional earthquake catalogue of the Marmara region, north-western Turkey, presented in Wollin et al. (2018) and Becker et al. (2023). It is built on the regional Turkish seismicity catalogues provided by AFAD (Disaster and Emergency Management Presidency of Turkey) and KOERI (Kandilli Observatory and Earthquake Research Institute) and spans the time interval 2021-2023. All events available in these two catalogues in the wider Marmara region were combined and duplicate events removed. A total of 2242 events having at least 6 P- and/or S-picks were located using the NLLoc software (Lomax et al., 2000, 2009) in Octtree mode utilizing automatic picks obtained with the PhaseNet algorithm (Zhu & Beroza, 2019) for all available waveforms. The magnitude range is between M0.5 and M5.1 and covers mainly the area 40.00S-41.25S and 27.00E-30.00E which was used as search region for the regional catalogs. The full description of the data and methods is provided in the data description file.
DOI: 10.5880/rifs.2025.001
title: Experimental Survey Data of Language Patterns' Effects on Traffic Safety Perceptions in Germany

description: An experimental survey in which respondents were given one of three different versions of a fictitious news article covering a traffic crash. The first version (v1) reflected closely the status quo of newspaper coverage of traffic crashes, based on research on these. The subsequent two versions incorporated more precise descriptions of the crash (v2) as well as contextual information on traffic crashes, their causes and frequency (v3). Respondents were randomly given one of the three article versions to read before answering questions on apportioning blame, gauging a penalty, and assessing preventative measures to increase traffic safety. 1537 participants were recruited using the firm Bilendi. Participants received a small financial incentive (of one Euro) to take part in the survey. The participants were recruited to be representative of the German population according to Age, Gender, Income, and regional distribution.
DOI: 10.5880/enmap.2025.002
title: Karslruhe, Germany (2010) - a (hyperspectral) dataset for active participation in the HYPERedu MOOC on forest applications

description: This dataset accompanying the MOOC on forest applications contains an airborne hyperspectral HyMap image over the study site north of Karlsruhe in Southwest Germany which was recorded in August 2010. The surrounding area of Karlsruhe is characterized by its relatively warm climate due to the influence of the Upper-Rhine and its climate can be considered more continental than typical German conditions. Additionally it is characterized by its flat terrain. Here you can find a diversity of tree species growing in the mixed forests. These include coniferous trees such as Scots Pine, Douglas Fir, Norway Spruce, Silver Fir and Larch as well as deciduous tree species like European Beech, Oak and Red Oak. The image dataset is fully pre-processed –it was atmospherically and topographically corrected by the DLR using ATCOR4 and ORTH software – and provided in TIF format. 
 
In addition to the HyMap image, this dataset contains a point data shapefile with 250 sampling locations, which represents 5 tree species with 50 reference positions each. These reference positions were collected using visual interpretation of high-resolution images in combination with reference tree species maps provided by the local forest administration. These reference tree species maps are also provided as tif-files. The dataset is made publicly available as part of the Massive Open Online Course (MOOC) "Beyond the Visible - Imaging Spectroscopy for Forest Applications ", available from Summer 2025. Guidance on how to derive tree species classification maps using the EnMAP-Box (QGIS plugin) are provided as videos at the HYPERedu YouTube channel, the forest MOOC course pages and the regression workflow documentation. 
 
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/gfz_orbit/rso/gnss_g_v02
title: GFZ GNSS Rapid Science Orbits (version 2)

description: This dataset provides Rapid Science Orbits (RSO) from GNSS satellites. It is part of the compilation of GFZ RSO products for various LEO missions and the appropriate GNSS constellation in sp3 format. The individual solutions for each satellite mission are published with individual DOI as part of the compilation (Schreiner et al., 2022- Dach DOI). 
 
GNSS Constellation: GPS 30h 
The GPS RSOs of version 2 are 30-hour long arcs starting at 21:00 the day before and ending at 03:00 the day after. The accuracy of the GPS RSO sizes at the 3-cm level in terms of RMS values of residuals after Helmert transformation onto IGS combined orbit solutions. 
 
The GPS RSOs of version 2 cover the following period : 
- start date: June 2019 
- end date: 30 June 2023
description: Orbital products describe positions and velocities of satellites, be it the Global Navigation Satellite System (GNSS) satellites or Low Earth Orbiter (LEO) satellites. These orbital products can be divided into the fastest available ones, the Near Realtime Orbits (NRT), which are mostly available within 15 to 60 minutes delay, followed by Rapid Science Orbit (RSO) products with a latency of two days and finally the Precise Science Orbit (PSO) which, with a latency of up to a few weeks, are the most delayed. The absolute positional accuracy increases with the time delay.
DOI: 10.15468/dl.hn25p2
title: Occurrence Download

description: A dataset containing 7182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panthera onca",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 7182 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044172-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khb2n8
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polycirrus antarcticus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 32 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044173-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2brg6r
title: Occurrence Download

description: A dataset containing 3574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Corythucha arcuata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3574 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044174-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17877722
title: code
DOI: 10.5281/zenodo.17877721
title: code
DOI: 10.5880/gfz.4.1.2021.004
title: Digital image correlation data from analogue modelling experiments addressing magma emplacement along simple shear and transtensional fault zones

description: This data set includes the results of digital image correlation analysis applied to nine experiments (Table 1) on magma-tectonic interaction performed at the Helmholtz Laboratory for Tectonic Modelling (HelTec) of the GFZ German Research Centre for Geosciences in Potsdam in the framework of EPOS transnational access activities in 2017. The models use silicone oil (PDMS G30M, Rudolf et al., 2016) and Quartz sand (G12, Rosenau et al., 2018) to simulate pre-, syn- and post-tectonic intrusion of granitic magma into upper crustal shear zones of simple shear and transtensional (15° obliquity) kinematics. Three reference experiments (simple shear, transtension, intrusion) are also reported. Detailed descriptions of the experiments can be found in Michail et al. (submitted) to which this data set is supplement. The models have been monitored by means of digital image correlation (DIC) analysis including Particle Image Velocimetry (PIV; Adam et al., 2005) and Structure from Motion photogrammetry (SfM; Donnadieu et al., 2003; Westoby et al., 2012). DIC analysis yields quantitative model surface deformation information by means of 3D surface topography and displacements from which surface strain has been calculated. The data presented here are visualized as surface deformation maps and movies, as well as digital elevation and intrusion models. The results of a shape analysis of the model plutons is provided, too.
DOI: 10.14459/2025mp1785735
title: Growth during the first week of life and physiological body weight oscillation between feedings using high-frequency weighing in individually housed calves fed unrestricted amounts of milk twice daily.

description: This dataset comprises the data used for the creation of the publication entitled: Growth during the first week of life and physiological body weight oscillation between feedings using high-frequency weighing in individually housed calves fed unrestricted amounts of milk twice daily.