cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/gfz.4.8.2019.p3.p
title: Petrographic Classification Table for the PetroPhysical Property Database P³

description: This data publication is part of the 'P³-Petrophysical Property Database' project, which has been developed within the EC funded project IMAGE (Integrated Methods for Advanced Geothermal Exploration, EU grant agreement No. 608553) and consists of a scientific paper, a full report on the database, the database as excel and .csv files and additional tables for a hierarchical classification of the petrography and stratigraphy of the investigated rock samples (see related references). This publication here provides a hierarchical interlinked petrographic classification according to standardized and internationally defined petrographic terms. The petrography or rock type classification scheme is structured based on a hierarchical subdivision with nine different ranks, where the rock description generally becomes more detailed with increasing rank of petrographic classification (based on the well database of the Geological Survey of Hessen, Germany: Hessisches Landesamt für Umwelt, Naturschutz, Umwelt und Geologie (HLNUG)). This hierarchical subdivision and the definitions of the petrographic terms are based on international conventions (e.g. Bates & Jackson 1987, Gillespie & Styles 1999, Robertson 1999, Hallsworth & Knox 1999, Bas & Streckeisen 1991, Schmid 1981, Fisher & Smith 1991). Furthermore, the classification corresponds to the subdivision provided by existing property data compilations such as e.g. Hantschel and Kauerauf (2009), Schön (2011), Rybach (1984) and Clauser and Huenges (1995). Petrographic classifications from rank 1 to rank 4 can usually be identified from macroscopic descriptions of well logs, cores and geological mapping. The petrographic classifications from rank 5 to rank 9 require additional information on the texture or grain size, the modal composition or the geochemistry etc., which can usually only be acquired by microscopic or comparable special investigations. Overall, the nine ranks cover a total of 1494 petrographic terms and thus goes well beyond other standardized catalogues (e.g. 'Simplified Lithology' in GeoSciML). The petrographic classification of a sample in P³ is based on the sample description within the original literature reference. A petrographic ID and a corresponding petrographic parental ID directly correlate the different classifications and their ranks.
DOI: 10.5880/gfz.4.3.2019.003
title: Data inventory of the varve database (VARDA): Sediment profiles, chronologies, radiocarbon dates, tephra layers and varve thickness data

description: The data collection presented here is the data inventory of the VARved sediments DAtabase (VARDA) in version 1.3. VARDA is freely accessible and was created to assess outputs from climate models with high-resolution terrestrial palaeoclimatic proxies. All data were collected as raw data from freely available online sources, either from online data repositories (Pangaea, NOAA, and Neotoma) or data archives within the supplementary materials section of online publications. The current data collection consists of meta information and datasets from 95 lake archives. The data is stored in JSON and CSV format. All datasets are stored as individual files (JSON and CSV). Each dataset consists of samples for either i) chronologies; ii) radiocarbon data; iii) tephra layer; or iv) varve thickness data. Meta-information for each dataset is summarized in one csv and seven JSON files. Additional paleoclimate proxy data will be provided in forthcoming updates of VARDA. The data collection of VARDA Version 1.3 is provided as an archive (.tar.gz) with the following files/folders. Overview lists with categories, cores, countries, datasets, lakes and publications included in VARDA. Each item in the lists is cross-referenced with the other files via its $ref property which includes the corresponding list index or the dataset's UUID (from the VARDA database). The data points themselves are provided in the "records" folder and named with each dataset's UUID respectively. For more information on the data structure please read the "index.html" file included in the archive and available on the DOI landing page. VERSION HISTORY: 26 July 2020: release of Version 1.3: 1. Fix issues with chronologies in the export 2. Provide recalculated machine readable error estimates 3. Correct some metadata values (e.g. core labels) 5 March 2020: release of Version 1.1 1. Added fields: "distributor" - Field containing name of data distributor "url" - Field containing DOIs and URLs, which lead to the original data publications 2. Correction of publication DOIs in 9 cases The version 1.0 is available in the "previous-versions" subfolder via the Data Download link. The index file is unchanged.
DOI: 10.5880/gfz.2.3.2017.003
title: Alternate_Mag_Absolutes - A software package for Magnetic Absolute Measurements with arbitrarily distributed DI Theodolite Orientations

description: This data publication includes a matlab software package as described in Brunke (2017). 
In addition to the Matlab software, we provide three test dataset from the Niemegk magnetic observatories (NGK). We present a numerical method, allowing for the evaluation of an arbitrary number (minimum 5 as there are 5 independent parameters) of telescope orientations. The traditional measuring schema uses a fixed number of eight orientations (Jankowski et al, 1996). Our method provides D, I and Z base values and calculated uncertitudes of them. A general approach has significant advantages. Additional measurements may by seamlessly incorporate for higher accuracy. Individual erroneous readings are identified and can be discarded without invalidating the entire data set, a-priory information can be incorporated. We expect the general method to ease requirements also for automated DI-flux measurements. The method can reveal certain properties of the DI-theodolite, which are not captured by the conventional method. Based on the alternative evaluation method, a new faster and less error prone measuring schema is presented. It avoids the need to calculate the magnetic meridian prior to the inclination measurements. Measurements in the vicinity of the magnetic equator become possible with theodolites without zenith ocular.
DOI: 10.5880/icgem.2016.007
title: ITSG-Grace2016 - Monthly and Daily Gravity Field Solutions from GRACE

description: The ITSG-Grace2016 gravity field model is the latest GRACE only gravity field model computed at Graz University of Technology, providing unconstrained monthly and Kalman smoothed daily solutions. It covers the whole GRACE time span from 2002-04 and will be continually updated. For each month of the observation period, sets of spherical harmonic coefficients for different maximum degrees (60, 90, 120) were estimated without applying any regularization. In order to resolve daily gravity field variations as detailed as possible, a set of spherical harmonic coefficients up to degree and order 40 was estimated using the Kalman smoother estimation procedure introduced by Kurtenbach et al. 2012.K-band range rates with a sampling of 5 seconds and kinematic orbits with a sampling of 5 minutes were used as observations.
      The kinematic orbits of the GRACE satellites (Zehentner and Mayer-Gürr 2013, 2014) were processed using the GPS orbits and clock solutions provided by IGS. An improved attitude product derived from a combination of star camera data and angular accelerations (Klinger and Mayer-Gürr 2014) was used to estimate K-band antenna center variations (one set per month). Additionally, accelerometer scale factors were estimated per axis and day. The accelerometer bias was modelled through cubic splines with a node interval of six hours and estimated for each axis and day.
      Detailed information about ITSG-Grace2016 is available at http://ifg.tugraz.at/ITSG-Grace2016.
DOI: 10.15468/dl.a35s9k
title: Occurrence Download

description: A dataset containing 507122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 507122 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044080-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/pik.2017.005
title: A global data set of tropical cyclone exposure (TCE-DAT)

description: Tropical cyclones (TCs) pose a major risk to societies worldwide. While data on observed cyclones tracks
(location of the center) and wind speeds is publicly available these data sets do not contain information
about the spatial extent of the storm and people or assets exposed. Here, we apply a simplified wind
field model to estimate the areas exposed to wind speeds above 34, 64, and 96 knots. 
      Based on available spatially-explicit data on population densities and Gross Domestic Product (GDP) we estimate 1) the
number of people and 2) the sum of assets exposed to wind speeds above these thresholds accounting for
temporal changes in historical distribution of population and assets (TCE-hist) and assuming fixed 2015
patterns (TCE-2015). The associated country-event level exposure data (TCE-DAT) covers the period
1950 to 2015. It is considered key information to 1) assess the contribution of climatological versus socioeconomic
drivers of changes in exposure to tropical cyclones, 2) estimate changes in vulnerability from
the difference in exposure and reported damages and calibrate associated damage functions, and 3) build
improved exposure-based predictors to estimate higher-level societal impacts such as long-term effects on
GDP, employment, or migration. 
      We validate the adequateness of our methodology by comparing our
exposure estimate to estimated exposure obtained from reported wind fields available since 1988 for the
United States. We expect that the free availability of the underlying model and TCE-DAT will make
research on tropical cyclone risks more accessible to non-experts and stakeholders.
      
Files included in the data set: (1) TCE-DAT_historic-exposure_1950-2015.csv: Exposed population and assets by event and country using historical socio-economic exposure estimates.(2) TCE-DAT_2015-exposure_1950-2015.csv: Exposed population and assets by event and country
using fixed socio-economic exposure at 2015 values.(3) Data-description_TCE-DAT_2017.005.pdf: full description of the data set including information on data sources and the description of variables/ data columns
DOI: 10.5880/fidgeo.2017.003
title: Hydro-sedimentological dataset for the mesoscale mountainous Isábena catchment, NE Spain

description: Version history:We recommend to use the revised version of this data publication (http://doi.org/10.5880/fidgeo.2018.011) which contains further data collected (2010-2018), some of which also resulted in the revision of previous data (e.g. updated rating curves). A comprehensive hydro-sedimentological dataset for the Isábena catchment, NE Spain, for the period 2010-2016 is presented to analyse water and sediment fluxes in a Mediterranean meso-scale catchment. The dataset includes rainfall data from twelve rain gauges distributed within the study area complemented by meteorological data of twelve official meteo-stations. It comprises discharge data derived from water stage measurements as well as suspended sediment concentrations (SSC) at six gauging stations of the Isábena river and its sub-catchments. Soil spectroscopic data from 351 suspended sediment samples and 152 soil samples were collected to characterize sediment source regions and sediment properties via fingerprinting analyses. The Isábena catchment (445 km²) is located in the Southern Central Pyrenees ranging from 450 m to 2,720 m in elevation, together with a pronounced topography this leads to distinct temperature and precipitation gradients. The Isábena river shows marked discharge variations and high sediment yields causing severe siltation problems in the downstream Barasona reservoir. Main sediment source are badland areas located on Eocene marls that are well connected to the river network. The dataset features a wide set of parameters in a high spatial and temporal resolution suitable for advanced process understanding of water and sediment fluxes, their origin and connectivity, sediment budgeting and for evaluating and further developing hydro-sedimentological models in Mediterranean meso-scale mountainous catchments. The data are available in .csv format folllowing the CUAHSI Community Observations Data Model (ODM) as .zip files via this DOI Landing Page and directly from the CUASI HIS Database via http://hydroportal.cuahsi.org/isabena/cuahsi_1_1.asmx?WSDL. The data are provided in four thematic zip folders:(1) hydro (hydrological data): water stage (manual readings and automatically recorded), river discharge (meterings and converted from stage)(2) meta (metadata) with the description of the different datafiles relevant for this dataset according to the CUAHSI HIS Standards(3) meteo (meteorological data): rainfall, temperature, radiation, humidity(4) sediment (sedimentological data): turbidity, suspended sediment concentration (from samples and from turbidity), sediment and soil reflectance spectra For more detailed information, please read the user guide on cloud publications with the CUAHSI Water Dater Center (UserGuide.pdf) or the ODM guide for uploading data using CUAHSI´s ODM uploader (ODMGuide.xlsx in folder ODM_Guide_2017.zip).
DOI: 10.5880/gfz.4.1.2016.008
title: Supplement to "Analogue earthquakes and seismic cycles: Experimental modelling across timescales"

description: This data set contains various data derived from rock and rock analogue testing and analogue models which are presented in Rosenau et al. (2016) to which these data are supplement to..A first group of data contains animations of complementary analogue and numerical models of subduction zone earthquake cycles (A). A second group comprises analogue earthquake data and time series of surface deformation derived from scale models of subduction zone earthquake cycles (B). A third group consist of time series of stick-slip experiments using a ring shear tester (C). Finally, friction data both from rocks and rock analogue materials (D) as well as elasticity data from rock analogues are presented (E).See the Description of data and the List of files in the Data Download section for additional data description.
DOI: 10.5880/gfz.3.3.2021.002
title: Physical and geochemical data on a drill core from the semi-arid Coastal Cordillera, Chile

description: This dataset contains petrophysical, geochemical, and mineralogical data from a drilling core from the Coastal Cordillera, Chile. The drilling campaign in the semi-arid field site Reserve Santa Gracia was conducted in the framework of the “EarthShape” project (DFG SPP1803) to study deep weathering along a climate gradient. Previous studies in this area found that the weathering front is located much deeper than expected (Oeser et al., 2018). To explore the weathering profile and the depth of the weathering front, we performed various geochemical, petrophysical, and mineralogical analyses. The drilling campaign was conducted in March and April 2019, using the wireline drilling method with a standard industry truck-mounted PQ3-sized (85 mm core diameter, 123 mm hole diameter) rotary drilling rig (Sondajes Araos E.I.R.L.). A detailed description of the drilling activities is given in Krone et al. (2021). The retrieved core runs with a maximum length of 1.5 m were drilled using potable water, with added contamination control tracer for further microbiological analyses of the rock. As basis for our detailed study of deep weathering we determined the porosity, density, specific surface area, elemental composition, mineralogical composition, Fe oxidation, and the degree of weathering from chemical depletion, volumetric strain, and the weathering rate using the in situ cosmogenic nuclide beryllium-10 (10Be).
DOI: 10.5880/fidgeo.2020.042
title: Burrowing vertebrates and invertebrates and their characteristics in Chile

description: We compiled available information for burrowing animals in Chile in two tables: "2020-042_Uebernickel-et-al_Vertebrates" and "2020-042_Uebernickel-et-al_Invertebrates". A discussion about burrowing vertebrates and invertebrates and the effect of the communities at selected sites in arid to humid Chile is given in Übernickel et al. (in review): Quantification of animal burrowing volumes on hillslopes along a climate gradient, Chile. The purpose of these tables is to provide an overview of burrowing vertebrates and invertebrate species in Chile. The degree of known details of their natural history varies and is often minimal. For invertebrates, the majority of the published work is taxonomic or descriptive that hardly encounter biologic or ecologic aspects of the respective species. The geographic distribution of most invertebrate species remains largely unknown, as they have been topic of single investigations at specific research sites in Chile. The tables are intended as starting point for follow up research. Quantification of distributional ranges, density, excavation rates, burrow or gallery dimensions and further parameters of these species, is important to quantify the biotic influence they have on a landscape level. From publications mostly treating single species, we have compiled this comprehensive dataset of 45 digging or soil-moving vertebrate and 345 invertebrate species. It includes a list of species names with morphological digging adaptations and species observed to dig. In vertebrates excavating behavior is documented for mammals, lizards and birds. In invertebrates, excavating behavior is mentioned for Chilean spiders, scorpions, camel spider, beetles, cicadas, wasps, bees, ants, a termite and antlions. Chile is characterized by an endemic fauna, especially true for arthropods, with limited distributional ranges. Currently, these largely still unknown species are under thread of extinction by the destruction of habitats, desertification and climate change. We encourage specialists to add information to this first compilation.
DOI: 10.5880/gfz.2.6.2023.010
title: Global energy magnitude catalog 2011-2023 with event selection driven by Mw Geofon

description: This archive disseminated through the GFZ-Data Service includes both results and information as-sociated to Bindi et al. (2023). In particular, the archive includes a seismic catalogue reporting ener-gy magnitude Me estimated form vertical P-waves recorded at teleseismic distances in the range 20°≤ D ≤ 98°, following Di Giacomo et al (2008, 2010). The catalogue is built considering 6349 earth-quakes included in the GEOFON (Quinteros et al, 2021) catalogue with moment magnitude Mw larger than 5 and occurring after 2011. Tools used to compute the energy magnitude are free available. In particular, we used stream2segment (Zaccarelli, 2018) to download data from IRIS (https://ds.iris.edu/ds) and EIDA (Strollo et al., 2021) repositories, and me-compute [Zaccarelli, 2023) to process waveforms and compute Me. The methodology applied to me-compute is also implemented as add-on for SeicomP (GFZ and Gempa, 2020) in order to allow the real time computation of Me (https://github.com/SeisComP/scmert).
description: Version History: 
 
19 February 2024: release of first version 
 
28 March 2024: release of v.1.1 
Addition of the complete list of references for the seismic networks analysed with me-compute as described in Bindi et al. (2024, ESSD). The list is provided as additional txt file in the data download section and all references were added to the XML metadata.
DOI: 10.5880/gfz.4.2.2024.002
title: JAGUARS – Mining induced picoseismicity associated to gold mining

description: This dataset presented herein originates from the JAGUARS (The Japanese German Underground Acoustic Emission Research in South Africa) project, which took place from 2007 to 2009 in Mponeng Gold Mine, South Africa. Project partners included Ritsumeikan University, Earthquake Research Institute University of Tokyo and Tohuku University in Japan, the German Research Center for Geosciences Potsdam and Gesellschaft für Materialprüfung und Geophysik GMuG mbH in Germany, as well as the Council for Scientific and Industrial Research in Johannesburg, Seismogen CC in Cartonville, Anglo Gold Ashanti Ltd and the Institute of Mining Seismology in the Republic of South Africa. This publication forms part of the Geo-INQUIRE initiative (HORIZON-INFRA-2021-SERV-01 call, project number 101058518). 
 
It is cross-referenced on the EPISODES Platform (https://episodesplatform.eu/?lang=en#episode:JAGUARS (not yet existing)), which is managed by the EPOS TCS AH (European Plate Observing System Thematic Core Service Anthropogenic Hazards). Within the EPISODES Platform, the datasets are consolidated into an “episode” titled “JAGUARS: Mining induced picoseismicity associated with gold mining”. The EPISODES Platform offers open access to the integrated research infrastructures of the EPOS TCS AH, enabling users to download data and utilize a range of basic online visualization tools to graphically represent and process the datasets directly within their personal workspace.
DOI: 10.5880/pik.2024.001
title: A dataset to explore the influence of functional diversity for long-term forest biomass across six European regions using the model LPJmL-FIT

description: This dataset contains simulation data using the LPJmL-FIT model (Billing et al., 2019). The purpose of this dataset is to investigate the influence of functional diversity on European forest biomass dynamics under varying climate change scenarios (RCP2.6, RCP4.5, RCP8.5). The LPJmL-FIT ("Lund-Potsdam-Jena managed Land – Flexible Individual Traits") model is a dynamic flexible-trait vegetation model that simulates the establishment, growth, competition, and mortality of individual trees and grasses. Each tree individual is categorized into one of four main plant functional types (PFTs) and assigned a set of functional trait values, including specific leaf area (SLA), leaf longevity (LL), and wood density (WD). The model is driven by daily climate input data, atmospheric CO2 concentration, and soil texture. 
 
For this dataset, the model was applied to six different regions across central and eastern Europe, covering a range of environmental gradients. Those sites include: Alpine Mountains, Boreal flatland, Carpathian Mountains, central European flatland, central European low mountain range and eastern European flatland. Each region is represented by a set of 9 grid cells of 0.5° x 0.5° longitude and latitude in size. Four experimental set-ups were investigated, varying in the degree of functional diversity. These set-ups specify characteristics of newly establishing trees, including assignment to PFTs and the range of leaf traits drawn from the full spectrum. 
 
This dataset provides detailed model outputs from simulations exploring the effects of different levels of functional diversity on forest adaptation under changing climatic conditions.