cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/gfz.3.1.2024.002
title: CRM-geothermal - Gas chemical measurements at the Tuzla, Seferihisar and Dikili geothermal fields, Turkey

description: To enhance the EU's economic autonomy, feasible options for local sourcing of critical raw materials that would allow for shorter supply routes along with ethical and responsible value chains are under contemplation. Social acceptance of mining in Europe is, however, low, and the establishment of new mining sites faces strong public opposition. Therefore, innovative solutions for the production of primary raw materials need to be developed. A new idea for raw material extraction is the extraction of essential elements from geothermal fluids. 
 
Deep geothermal fluids, increasingly used for energy production, often contain high concen-trations of dissolved ions and gases in commercially interesting concentrations. The EU-funded project CRM-geothermal aims to develop new technologies to extract these highly relevant elements, including helium, during geothermal production cycles. In this way, an environmentally friendly and socially acceptable exploration and exploitation method could be deployed. 
 
One aim of the CRM-geothermal project is to gain an overview of the actual quantities of critical raw materials in various geothermal fluids in Europe by taking and analyzing fluid samples. In Turkey for instance, classical high enthalpy (volcanic) systems exist, which are representative for many geothermal areas worldwide. The sites are located at the edges of tectonic plates and close to areas undergoing volcanic activity. The brines are mixed with seawater and circulate in the deeper crust. 
 
The data publication contains analyses results of three gas samples from Tuzla, two samples from Seferihisar geothermal power plant and one sample from the Dikili geothermal field in Turkey, taken in 2023 as part of the CRM-geothermal project.
DOI: 10.5880/gfz.4.4.2024.002
title: Event peak flow dataset for spatial counterfactual events, Germany

description: This dataset comprises event peak flows, representing extreme floods at 516 stations in Germany. The data generation process involves several key steps. Initially, observed rainfall events associated with 10 historical flood disasters from 1950 to 2021 are undergone spatial shifts. These shifts involve three distances (20, 50, and 100 km) and eight directions (North, Northeast, East, Southeast, South, Southwest, West, Northwest), resulting in 24 counterfactual precipitation events. Including the factual (no shift) event, a total of 25 distinct shifting events are considered. Subsequently, these shifted fields are used as atmospheric forcing for a mesoscale hydrological model (mHM) set up and calibrated for the entire Germany. The model produces daily stream flows across its domain, from which the event peak flows are derived. This dataset is expected to provide a valuable resource for analyzing and modeling the dynamics extreme flood events in Germany.
DOI: 10.5880/pik.2019.022
title: LPJmL-FIT in Europe

description: LPJmL-FIT is process- and trait-based vegetation model. It is a subversion of the model LPJmL simulating patches of competing individual trees with flexible functional traits and empirically derived relations between these traits. Trait composition, productivity and stability of a forest are a result of environmental and competitive filtering. A detailed description of LPJmL-FIT (basic features and differences to LPJmL) is given by Sakschewski et al. (Sakschewski et al., 2015, https://doi.org/10.1111/gcb.12870). LPJmL-FIT was originally developed for tropical forests and has been adapted to European forests by Thonicke et al. (2020). 
 
 
 The data covers southern and central Europe (29.5°N – 62°N, 11°W – 36°O) on a spatial resolution of 0.5° covering the years 1901-2013. Tree height, leaf and stem traits (specific leaf area, wood density, leaf longevity; aggregated), individual traits of simulated trees, vegetation distribution (foliage projected cover, FPC), vegetation carbon and fire carbon emissions are given on an annual basis. Gross primary productivity is provided monthly. Tree height and leaf and stem traits are biomass weighted. 
 
 
 For evaluation of the dataset R- and MATLAB-scripts are provided. 
 An overview and description of all variables are found in the file description.
DOI: 10.5880/fidgeo.2023.051
title: Stable Nitrogen isotope composition of common wheat in intercropping with Persian clover (Tuscany, Italy)

description: Intercropping is the simultaneous growth of two or more crops in the same space for a significant part of their life cycle (Willey, 1979). In this context, samples from one farm experiments in the growing season 2015/2016 and 2016/2017, embedded in the cropping systems of one arable farm in the surrounding of Pisa, central-western part of Italy, were collected for analysis. The treatments were: PCW, a temporary intercropping system of wheat and persian clover, sown in paired rows; CONTROLSTRIP, unfertilized wheat as a sole crop, sown in paired rows.
description: The samples were collected from a farm located in Valtriano, around 20 km from Pisa (43°36’N 10°29’E). The temporary intercropping system comprises common wheat (Triticum aestivum L., cv. Bolero) and persian clover (Trifolium resupinatum L., cv. Laser). Sampling of above-ground plant biomass was done by hands in March 2016 and 2017. For each treatment, above-ground plant biomass was collected several plots which includes three subplots with dimension of 0.25m2 in 2016 and 0.075 m2 in 2017. The samples collected, only for the green part of the plant, were dried at 60°C for 48 h. Then, coarse grinding of the plant fibres (about 1 mm in diameter) was carried out, followed by further cryogenic grinding.
DOI: 10.5880/gfz.3.1.2024.006
title: Survey of critical raw materials in Tanzania East African Rift geothermal araes

description: In autumn 2022, an expedition to Tanzania was undertaken within the framework of the research project “CRM-geothermal” and Scintific Priority Program (SPP) 2238 “Dynamics of Ore Metal Enrichment”. Within „CRM-geothermal“ we are looking for an environmentally friendly co-production of critical raw materials together with the provision of geothermal energy. In the EARS, high levels of rare earth elements (REE), Sr, Ba and Mg are expected in waters and solids in areas with alkaline volcanic rocks, while other critical elements, including helium, have been sought in other localities. In particular, the eastern branch is the most juvenile sector and has increased geothermal potential related to hot fluids migrating along permeable faults. 
Tanzania was crossed from north to south, along the eastern arm of the EARS, to collect gas, water, rock and sediment samples associated with natural hot springs, lakes and vents. On site, physical and chemical parameters were measured in-situ and documented together with the geology, infrastructure and the domestic use of the hot site. In the south, existing drill sites and geothermal development areas were visited and gas and water samples were taken from boreholes and rocks sampled from drill cores. The survey covered 13 sites, from Lake Natron in the north to Lake Malawi in the south (see map).
DOI: 10.5880/gfz.2.1.2024.001
title: Drone based photogrammetry data at the Geysir geothermal field, Iceland

description: Geysers are localized hydrothermal vents that periodically erupt with gas bubbles at the surface. Understanding their distribution, dynamics, and conduit geometry is critical to understand the fluid and heat transfer through the crust. To explore this at the Geysir geothermal field in Iceland, we analyzed the spatial distribution of thermal features using high-resolution UAV-based optical and infrared cameras. Based on this, Walter et al. (2020) identified 364 distinct thermal spots. Here we release the high-resolution drone orthomosaic dataset at the Geysir geothermal field, Iceland.
description: The field campaign and subsequent findings are derived from UAV data collected between July 27th and August 5th, 2016. We used lightweight cameras mounted on a modified DJI Matrice 100 quadcopter drone, allowing flight durations of over 30 min and simultaneous use of optical and thermal cameras. Flight control was based on GPS, with live video feed to the operator and predefined flight paths. Overflights were conducted at different times to optimize image quality: daylight flights at 5:00 local time for optimal contrast for the optical camera, and cold night flights at 3:00 local time for the infrared camera. Altitudes were 120 meters above ground to ensure comprehensive image coverage. The optical camera, a DJI Zenmuse X5R, captured 16-megapixel images at 2 frames per second, with each image geotagged by GPS. The thermal camera, a FLIR Tau 2, had a fully radiometric resolution of 640 × 512 pixels and a spectral band of 7.5-13.5 μm, with GPS geotagging for each image.
DOI: 10.5880/gfz.4.6.2024.001
title: Sample information, major element stream chemistry, inversion model setup and results, sample corrections for precipitation and degassing, and CO2 exchange calculations

description: Tables that include information and calculations associated with water samples collected from rivers in Central Italy. 
 
The goal of the project was to determine the carbon budget for the Central Apennine Mountains of Italy, by accounting for weathering reactions that are responsible for either CO2 drawdown or release into the atmosphere. The carbon budget was created by: 1) analysing samples from different water bodies and sources in the Central Apennines (rivers, lakes, and groundwater) for ion and isotope signatures, and 2) by incorporating the ion and isotope signatures from the waters into an inversion model that partitions these signatures into different sources (e.g. minerals, vegetation, atmospheric sources) around the landscape. 
 
All data associated with this publication are provided in a single excel spreadsheet that contains a separate tab for each of the 18 Tables. The supplementary data include: 1) Information on the locations of the water samples and associated water bodies, described in the “Sampling Methods” section, 2) ion and isotope measurements from the water samples, described in the “Analytical Procedure” section, 3) the setup and output from the inversion model, and 4) the CO2 calculations that form the basis for the carbon budget, described in the “Data Processing” section. Water samples were collected over two seasons, in winter and summer; data in the tables are divided by sampling season, where indicated in the content description. For a full description of the sampling strategy, data, and methods, please refer to: Erlanger et al. (2024) “Deep CO2 release and the carbon budget of the central Apennines modulated by geodynamics” Nature Geoscience.
DOI: 10.25326/792
title: PARCS_CNRM_LUXEMBOURG_IOT-10MIN_L2

description: This dataset contains wind, black globe temperature and temperature/humidity in the soil.  These measurements have been done at Luxembourg park in Paris during PARCS campaign.
DOI: 10.5880/fidgeo.2023.044
title: A database of caldera collapse analogue models stretched under extensional conditions

description: This dataset presents the raw data from one experimental series (named CCEX, i.e., Caldera Collapse under regional Extension) of analogue models performed to investigate the process of caldera collapse followed by regional extension. Our experimental series tested the case of perfectly circular collapsed calderas afterward stretched under regional extensional conditions, that resulted in elongated calderas. The models are primarily intended to quantify the role of regional extension on the elongation of collapsed calderas observed in extensional settings, such as the East African Rift System. An overview of the performed analogue 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), Bonini et al., 2021 and Maestrelli et al. (2021a,b).
DOI: 10.5880/fidgeo.2023.047
title: A database of analogue models testing the interaction between magmatic intrusion-related doming and caldera collapse

description: This dataset presents the raw data from one experimental series (named CCEX, i.e., Caldera Collapse under regional Extension) of analogue models performed to investigate the process of caldera collapse followed by regional extension. Our experimental series tested the case of perfectly circular collapsed calderas afterward stretched under regional extensional conditions, that resulted in elongated calderas. The models are primarily intended to quantify the role of regional extension on the elongation of collapsed calderas observed in extensional settings, such as the East African Rift System. An overview of the performed analogue 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), Bonini et al., 2021 and Maestrelli et al. (2021a,b).
DOI: 10.5880/fidgeo.2023.048
title: A database of enhanced-gravity analogue models examining the influence of pre-existing fabrics on the evolution of oblique rift

description: This dataset shows the original data of a series of enhanced-gravity (centrifuge) analogue models, which were performed to test the influence of the pre-existing fabrics in the brittle upper crust on the evolution of structures resulting from oblique rifting. The obliquity of the rift (i.e., the angle between the rift axis and the direction of extension) was kept constant at 30° in all the models. The main variable of this experimental series was the orientation of the pre-existing fabrics (indicated as the angle between the trend of the fabric and the orthogonal to extension), which varied from 0° to 90° (i.e., from orthogonal to parallel to the extension direction). The inherited discontinuities were reproduced by cutting with a knife through the top brittle layer of models. An overview of the experimental series is shown in Table 1. In this dataset, four different data types are provided for further analysis: 1) Top-view photos of model deformation, taken at different time intervals and showing the deformation process of each model; they can be used to interpret the geometrical characteristics of rift-related faults; 2) Digital Elevation Models (DEMs) used to reconstruct the 3D deformation of the analogue models, allowing for quantitative analysis of the fault pattern. 3) Movies of model deformation, built from top-view photos, which help to visualize the evolution of model deformation; 4) Faults line-drawings to be used for statistical quantification of rift-related structures. Further information on the modelling strategy and setup can be found in the publication associated to this dataset and in Corti (2012), Philippon et al. (2015), Maestrelli et al. (2020), Molnar et al. (2020), Zwaan et al. (2021), Zou et al. (2023). Materials used to perform these enhanced-gravity analogue models were described in Montanari et al. (2017), Del Ventisette et al. (2019) and Zwaan et al. (2020).
DOI: 10.5880/fidgeo.2023.049
title: Database of mineral compositions within the lowermost oceanic crust accreted at fast-spreading ridges (Hess Deep, East Pacific Rise, IODP Leg 345)

description: This database contains mineral major and trace element compositions of gabbroic rocks composing the lower oceanic crust accreted at the East Pacific Rise and recovered at Hess Deep during IODP Leg 345 (Gillis et al., 2014a). Hess Deep is located at 2°15’N, 101°30’W in the Pacific Ocean, at the western tip of the Cocos-Nazca spreading centre, a westward-propagating oceanic ridge that progressively opens the oceanic lithosphere formed at the adjacent East Pacific Rise (Fig. 1a; Searle and Francheteau, 1986; Karson et al., 2002). Hess Deep is an East-West trending intraoceanic rift reaching 5200 mbsl (metres below sea level) at its deepest point (Fig. 1b,c). It is a tectonic window exposing a complete section of 1.3 Myr oceanic crust accreted at the fast-spreading East Pacific Rise (~130 mm/yr; Rioux et al., 2012; Rowan and Rowley, 2014), ranging from pillow basalts to sheeted dikes, isotropic gabbros, layered gabbros and troctolites, and upper mantle peridotites (e.g., Francheteau et al., 1990, 1992; Hekinian et al., 1993; Lissenberg et al., 2013). 
The gabbroic rocks included in this database are primitive in composition and range from olivine-rich troctolites to troctolites, olivine gabbros, olivine gabbronorites and gabbros.
DOI: 10.5281/zenodo.15267507
title: Circular Consumption Survey

description: This data set consists of respondents to the nationally representative Circular Consumption Survey conducted across five countries: the United Kingdom (UK), Germany (DE), the Netherlands (NL), Italy (IT), and Lithuania (LT). The survey collects data on current levels of circular consumption practices (CCPs), that is, practices which on the balance of probability contribute to greater levels of circularity. Specifically, it collects data on potential high impact practices in the CircEUlar focus areas (FAs) of mobility, buildings & household services, and digitalisation, with a focus on practices such as car sharing and carless-ness, commoning and online second-hand trading.The data is available in .csv, .sav and .dta file format and includes a published codebook along with the original survey questionnaire available in all languages.
DOI: 10.5281/zenodo.15267506
title: Circular Consumption Survey

description: This data set consists of respondents to the nationally representative Circular Consumption Survey conducted across five countries: the United Kingdom (UK), Germany (DE), the Netherlands (NL), Italy (IT), and Lithuania (LT). The survey collects data on current levels of circular consumption practices (CCPs), that is, practices which on the balance of probability contribute to greater levels of circularity. Specifically, it collects data on potential high impact practices in the CircEUlar focus areas (FAs) of mobility, buildings & household services, and digitalisation, with a focus on practices such as car sharing and carless-ness, commoning and online second-hand trading.The data is available in .csv, .sav and .dta file format and includes a published codebook along with the original survey questionnaire available in all languages.
DOI: 10.5880/gfz.1.4.2023.005
title: Global Dated Landslide Data Base during Sentinel-2 satellite data availability

description: This Global Dated Landslide Database (GDLDB) is part of the project WeMonitor (Weakly Supervised Deep Learning Models for Detecting and Monitoring Spatio-Temporal Anomalies in Optical and Radar Satellite Time Series), funded by the Helmholtz Imaging Platform. The aim is to develop a deep learning model that uses satellite image time series from Sentinel1/2 to automatically monitor changes caused, for example, by landslides, deforestation, large fires, dam failures, or the emergence of waste dumps. To train such a model, a reference dataset is required that shows the area and date of the changes as precise as possible. To allow for a generic and transferable model, the reference data also needs to cover the diversity of the process to be detected. Thus, the aim of the GDLDB is to comprise landslides of different sizes, shapes, and types, occurring at different seasons and in different regions with varying natural conditions and different triggering mechanisms such as rainfall and earthquake-induced landslides. 
 
To build the GDLDB, available local and regional landslide inventories from around the world are combined into one coherent database by verifying their location and date of occurrence with high-resolution remote sensing data. The selection criteria for the source inventories are the definition of the landslide location as polygons, at least a rough indication of the landslide origin date, and that the landslides occurred during the Sentinel-2 data availability from 2016 onwards. A total of 16 individual inventories are included (Table 1), one each from the USA, Dominica, Italy, Zimbabwe, southern India, Nepal, China, Papua New Guinea, and New Zealand, and two each from Kyrgyzstan, Japan, and the Philippines. In addition, a global inventory was added, including a small number of landslides from the USA, Peru, Chile, Europe, Pakistan, Nepal, India, and Taiwan, and a larger number of landslides from Indonesia. 
 
From each inventory, approximately 100 landslides were randomly selected to ensure an unbiased selection of landslides in terms of shape, size, and location. The original source inventories are produced using a variety of methods, including manual mapping in airborne data with ground verification and automatic identification in satellite remote sensing data. As a result, the mapping quality of the inventories varies greatly. In cases where landslides could not be verified by us using available optical remote sensing data (e.g. Sentinel-2, Planet Scope, and data available in Google Earth) new polygons are selected until the number of approximately 100 landslides is reached. In some inventories, the number of 100 landslides could not be guaranteed, due to a lack of suitable landslides (e.g., small size, incorrect classification) or the total number of landslides in the selected inventory was less than 100. For inventories with a lot of small landslides, that were difficult or impossible to observe, a size threshold of 1000m2 was introduced.
DOI: 10.5880/fidgeo.2023.038
title: Update of the Heat Flow Database in India

description: For the integration of this dataset, several research articles were collected from the catalog of The Global Heat Flow Data Assessment Project. Specially, this data publication encloses all heat-flow data of onshore India. The resulting updated database contains 617 determinations of heat-flow from 36 publications. 
 
The data are presented according to the standards defined by the World Heat Flow Database Project and the International Heat Flow Commission (Fuchs et al., 2023)
DOI: 10.15468/dl.pgrsgr
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alsophila spinulosa"
 ]
}

 The dataset includes 201 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044118-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/gfz.4.8.2024.001
title: Update of the Heat Flow Database in Türkiye

description: The Turkey heat flow database includes several research articles obtained from the catalogue of The Global Heat Flow Data Assessment Project conducted by the International Heat Flow Commission (IHFC; www.ihfc-iugg.org). The presented database contains 725 heat-flow determinations compiled from 9 different publications generated between 1991-2023 reported within Turkey. For the reporting and sorting of the database, the structure documented by Fuchs et al. (2023) is followed. Within this dataset, 98% of the entries represent continental heat-flow data (onshore), while the remaining 2% correspond to marine data (offshore). 88% of the reported heat flow values were obtained via direct temperature measurements, while the remaining data (12%) were estimated from indirect Curie depth temperature calculations.