cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/wsm.iceland2016
title: Stress Map Iceland 2016

description: The stress map of Iceland 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.
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/gfz.2.1.2016.001
title: A   post-2015   lava   flow   hazard  map  for  Fogo  Volcano,  Cabo  Verde

description: We provide an updated lava flow hazard map for Fogo Volcano, Cabo Verde that is valid after the 2014-2015 eruptive crises. The hazard map shows the probability of lava flow invasion within the Chã das Caldeiras and on the eastern flank of the volcano. This probability is defined as the likelihood that a future lava flow will inundate a specific point before the vent location is known. The hazard map is calculated on the basis of a 5 m resolution digital elevation model generated from contours on the base of photogrammetric data that was updated for the 2014-2015 lava flow using combined terrestrial laser scanner (TLS) and camera data. The lava flow hazard map in printable A0 poster format is available in two versions, an English-Kreolu version (blue) and an English-Portugese version (green). Please refer to Richter et al. (2016) for more information and scientific background, as well as for supplementary material in kml format.
DOI: 10.5880/icdp.5054.001
title: Analysis of element behavior in mylonites of the Seve Nappe of the Scandinavian Caledonides using different core scanning methods (Datasets)

description: The International Continental Scientific Drilling Program (ICDP) performed a dual-phase scientific drilling project to investigate mountain-building processes called Collisional Orogeny in the Scandinavian Caledonides (COSC). The borehole COSC-1 was drilled through the Lower Seve Nappe, as the first of two 2.5 km deep drill holes close to Åre, central Sweden. The recovered rocks comprise a 1650 m thick suite of high grade gneisses and amphibolites with clear Seve Nappe affinities, while the lower 850 m comprise rather homogenous mylonitic gneisses with interfingered K-rich phyllonite bands of cm to several m size and some intercalated amphibolites. The different lithologies all crosscut the core in a subhorizontal direction with foliation of gneisses and phyllonites in the same direction. Albite and garnet porphyroblasts with pressure shadows show syn-deformational growth and the same sub-horizontal alignment. The focus of this study was to detect chemical and mineralogical differences in mylonitic and host rocks and to relate these differences to either metasomatism and deformation or inherited source rock variance. Another goal of this work is to compare chemical core scanning instruments. For this purpose two different X-Ray Fluorescence (XRF) techniques, Laser Induced Breakdown Spectroscopy (LIBS) and hyperspectral imaging served to measure seven samples from the lower 850 m of the COSC-1 core. This data publication comprises the datasets gained in the course of this study. The metadata (OF WHAT?) will be presented in an additional file including XRF data from the Avaatech XRF core scanner in a txt.file as well as datasets of the other used devices in original file formats.
DOI: 10.5880/gfz.1.4.2017.001
title: Supplement to: Quantifying groundwater exploitation induced subsidence in the Rafsanjan Plain, southeastern Iran, using InSAR time-series and in situ measurements

description: This data publication provides supplementary material to Motagh et. al (2017), which presents the results of an InSAR time series analysis obtained by the exploitation of Envisat, ALOS and Sentinel-1 (S1) SAR data archives between June 2004, and May 2016. The study investigates land subsidence due to groundwater overexploitation for agriculture and industrial development  in the Rafsanjan plain of southeastern Iran. Datasets included are a list of SAR data used for the study and the Line of Sight (LOS) displacement rates from Envisat, ALOS and Sentinel 1 (S1) satellites in ASCII format. More in formation is avalable in Motagh-et-al-2017-Supplementary_Material_readme.pdf.
DOI: 10.5880/pik.2017.001
title: The PRIMAP-hist national historical emissions time series (1850-2014)

description: This is an updated version of Gütschow et al. (2016). Please use this version which incorporates updates to input data as well as correction of errors in the original dataset. For a detailed description of the changes please consult the CHANGELOG included in the data description document. 
      This dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas covering the years 1850 to 2014 and all UNFCCC (United Nations Framework Convention on Climate Change) member states as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 1996 categories. For CO₂ from energy and industry time series for subsectors are available.
      
List of datasets included in this data publication:(1) PRIMAP-hist_v1.1_06-Mar-2017.csv: With numerical extrapolation of all time series to 2014. (only in .zip folder)(2) PRIMAP-hist_no_extrapolation_v1.1_06-Mar-2017.csv: Without numerical extrapolation of missing values. (only in .zip folder)(3) PRIMAP-hist_v1.1_data-format-description: including CHANGELOG(4) PRIMAP-hist_v1.1_updated_figures: updated figures of those published in Gütschow et al. (2016, http://doi.org/10.5194/essd-8-571-2016)(all files are also included in the .zip folder.)
      
      When using this dataset or one of its updates, please also cite the data description article (Gütschow et al., 2016) to which this data are supplement to. Please consider also citing the relevant original sources.
      
      
Sources UNFCCC National Communications and National Inventory Reports for developing countries: UNFCCC (2017) UNFCCC Biennal Update Reports: UNFCCC (2016) UNFCCC Common Reporting Format (CRF): UNFCCC (2013), UNFCCC (2014) BP Statistical Review of World Energy: BP (2016) CDIAC:: Boden et al. (2016) EDGAR versions 4.2 and 4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012) FAOSTAT database:: Food and Agriculture Organization of the United Nations (2016) Houghton land use CO2: Houghton (2008); RCP historical data: Meinshausen et al. (2011) EDGAR-HYDE 1.4: Van Aardenne et al. (2001), Olivier and Berdowski (2001), HYDE land cover data: Klein Goldewijk et al. (2010), Klein Goldewijk et al. (2011) SAGE Global Potential Vegetation Dataset: Ramankutty and Foley (1999) FAO Country Boundaries: Food and Agriculture Organization of the United Nations (2015)
description: Country resolved data is combined from different sources using the PRIMAP emissions module (Nabel et. al., 2011).
It is supplemented with growth rates from regionally resolved sources and numerical extrapolations. Regional deforestation emissions are downscaled to country level using estimates of the deforested area obtained from potential vegetation and calculations for the needed agricultural land.
DOI: 10.5880/gfz.1.3.2017.001
title: Tidal influence on the ocean during the early Eocene

description: These data are supplementary material to the manuscript "Influence of ocean tides on the general ocean circulation in the early Eocene" (T. Weber, M. Thomas, Paleoceanography, http://doi.org/10.1002/2016PA002997). It contains atmospheric and oceanic variables as simulated by the coupled atmosphere-ocean model ECHAM5/ MPIOM for the early Eocene (55 million years ago) and a pre-industrial simulation representing climate conditions at 1850 AD. Simulations are performed without and with tidal forcing of the ocean.
      
The files are available in the zip folder in NetCDF and .txt formats (subfolder MHT). An overview on the available files and their content is given in the README.
DOI: 10.5880/gfz.2.3.2017.001
title: Hourly mean values geomagnetic observatory Huancayo (HUA), 1935 to 1985

description: The data set contains hourly mean values (HMV) of the horizontal magnetic field component H as measured at the geomagnetic observatory Huancayo for 1935 to 1985. Huancayo (IAGA code HUA) is located close to the magnetic equator and is operated by Instituto Geofisico del Peru.
      
The HMVs  were taken from the World Data Centre Kyoto (WDC Kyoto) and existing data gaps (in total some 19 years from the 1960ies, 1970ies and 1980ies) were filled in by typing handwritten records of the HMV at GFZ. These handwritten records were monthly tables that were received as digital images from geomagnetic observatory Huancayo or that were received as microfilms from World Data Centre Boulder, Colorado. We also produced digital images of these microfilms. The values from the WDC Kyoto are definitive values; the monthly tables presumably also contain definitive values.
      
Corrections to HUA HMVs from WDC Kyoto: There is a known error in the time stamping of the HUA HMVs prior to 1948 (before 1948 the data was reported in local time, rather than universal time). This error is corrected in the present dataset. Also, an attempt was made to correct for a jump in the HMV time series at this time. For further corrections, see Matzka et al, 2017.
      
Please note that a dataset based on the data provided here will be submitted to the WDC Kyoto at a later stage and might undergo further modifications.
      
The data file is in ASCII format and contains blank-separated first the year (YYYY), the month (MM), the day (DD) followed by the 24 HMVs of H (format HHHHH) in nanotesla (nT), starting with the HMV for 00 to 01 universal time.
      Geomagnetic observatories are described in e.g. Jankowski and Sucksdorf (1996).
DOI: 10.5880/icgem.2017.001
title: The gravity field NULP-02s to d/o 250 based on radial derivatives EGG_TRF_2 of satellite mission GOCE

description: NULP-02S gravity field model up to degree/order 250 was developed based on EGG_TRF_2 GOCE radial gradients and Gauss quadrature formula in the frame of space-wise approach by National University “Lviv Polytechnic” (Institute of Geodesy, Laboratory for Theoretical Geodesy and Data Processing). All details of data pre-processing and applied method for model developing are presented in the paper “Gravity field models derived from the second degree radial derivatives of the GOCE mission: a case study” (ANNALS OF GEOPHYSICS, 59, 6, 2016, S0649; doi:10.4401/ag-7049).
description: Input Data:- GOCE EGG_TRF_2 gradients from November 2009 to October 2013.
- radial derivatives of the EGM2008 model to d/o 360 for both polar gaps 
as additional information at the Gaussian grid nodesto avoid these polar 
gaps instability.
      Calculation method:- Kalman filtration of the radial derivatives with additional smoothing by Gauss filtering
- Formation of Gaussian grid of radial gradients using modified local non-smooth splines
- Estimation of harmonic coefficients via Gauss quadrature formula
DOI: 10.5880/icgem.2017.003
title: The experimental gravity field model XGM2016

description: The experimental gravity field model XGM2016 is an outcome of TUM's assessment of a 15'x15' data grid excerpt provided from NGA's updated and revised gravity data base. The assessment shall support NGA's efforts on the way on the way to the Earth Gravity Model EGM2020.
description: XGM2016 is a combination model based on the satellite-only gravity field model GOCO05s and a global 15'x15' data grid provided from NGA's data base.
DOI: 10.5880/icgem.2017.002
title: Tongji-Grace02s, a static unconstrained GRACE-only gravity field model

description: Tongji-Grace02s, a static unconstrained GRACE-only gravity field model up to degree and order 180 was developed by Tongji University under the sponsorship of National Natural Science Foundation of China (41474017). To derive Tongji-Grace02s, the modified short-arc approach which estimates errors of non-conservative acceleration and attitude observations was adopted, and the GRACE-only data (including orbits, range-rates, non-conservative accelerations and attitudes) over the period Jan. 2003 to Jul. 2016 were used. The quality of Tongji-Grace02s is remarkably better than Tongji-GRACE01. In computing Tongji-Grace02s, neither constraint nor regularization was applied.
description: Input Data:- GRACE RL02 L1B (JPL) data products: Jan. 2003 – Jul. 2016- AOD1B RL05 (GFZ) de-aliasing product
      
Calculation method:- modified short-arc approach- arc length: 2 hours
      
 
Force models: - can be found in Chen et al. 2015 (Chen, Q., Shen, Y., Zhang, X., Hsu, H., Chen, W., Ju, X., Lou, L., 2015. Monthly gravity field models derived from GRACE Level 1B data using a modified short-arc approach. Journal of Geophysical Research: Solid Earth, 120(3), 1804-1819. http://doi.org/10.1002/2014JB011470).
DOI: 10.5880/gfz.3.3.2017.001
title: Supplementary dataset for: Quantifying nutrient uptake as driver of rock weathering in forest ecosystems by magnesium stable isotopes

description: This dataset is a supplementary dataset to the manuscript: “Uhlig, D., Schuessler, J. A., Bouchez, J. L., Dixon, J., and von Blanckenburg, F.: Quantifying nutrient uptake as driver of rock weathering in forest ecosystems by magnesium stable isotopes, Biogeosciences, 2017“. 
      
The dataset contains physicochemical parameters of stream water (pH, temperature, conductivity discharge, alkalinity) , and chemical and Mg isotope analyses of stream water, vegetation, soil, saprolite, weathered bedrock and unweathered bedrock of three headwater catchments at Providence Creek in the Southern Sierra Nevada, California, USA. Further, the dataset contains soil and saprolite weathering indicators such as the chemical depletion fraction (CDF) and mass transfer coefficients, as well as elemental regolith production fluxes, elemental net solubilisation fluxes, elemental dissolved river fluxes, elemental litterfall fluxes, nutrient recycling fluxes and elemental dissolved export efficiencies that rely on measured data reported in the above study and data from literature. These data and metrics were used to track the pathway of Mg and other nutrients through the headwater catchments at the Critical Zone Observatory of the Southern Sierra Nevada.
DOI: 10.5880/fidgeo.2017.002
title: Geochemical data of melt-bearing impact breccia (suevite) from the research drill core FBN 73 of the Ries impact crater, Germany

description: This data set comprises XRF (89 samples) and ICP-AES/ICP-MS (12 samples) major and trace element geochemistry of melt-bearing impact breccia (suevite) samples of the research drill core FBN 73 of the Ries impact crater in Southern Germany. The 1,206 m deep drilling in the central part of the Ries impact crater, carried out in 1973 (Bayerisches Geologisches Landesamt 1974), provided insights into the origin and distribution of suevite and into the development of the post-impact Ries lake with redeposited suevitic sediments at its base (Stöffler et al. 2013). The suevite is divided into five sequences, (1) dike suevite 1186-602 m, (2) melt-rich suevite 602-525 m, (3) melt-rich suevite 525-331 m, (4) graded suevite 331-314 m, and (5) reworked suevite 314-257 m (Stöffler et al., 2013 and references therein).
      
      The drill core FBN 73 is stored and accessible at the Zentrum für Rieskrater- und Impaktforschung Nördlingen (Centre for Ries Crater Impact Research, ZERIN) and supplies the best available complete profile through the Ries crater suevite.
      
The data are supplementary material to Siegert et al. (2017, http://doi.org/10.1130/G39198.1) and are supplemented by geochemical data of crystalline target lithologies of the Ries impact crater (Schmitt et. al, 2017; http://doi.org/10.5880/fidgeo.2017.001). Averages of two consecutive melt-rich and melt-poor suevite samples are plotted in Siegert, et al. (2017). 
      
More information about sample preparation, methodology as well as detection limits, standards used and precision expectations are given in the Explanatory File.
DOI: 10.5880/fidgeo.2017.001
title: Geochemical data of crystalline target lithologies of the Ries impact crater, Germany

description: This data set comprises major (XRF) and trace (XRF, ICP-MS, ICP-AES) element geochemistry of 185 samples of crystalline target lithologies of the Nördlinger Ries impact crater in Southern Germany. 
      
The sample set was originally collected by D. Stöffler for the investigation of shock metamorphism and Schmitt and Siebenschock for a research project on the occurrence of impact diamonds in the Nördlinger Ries crater. The data are supplementary material to Siegert et al. (2017, http://doi.org/10.1130/G39198.1) and are supplemented by by geochemical data of melt-bearing impact breccia (suevite) from the research drill core FBN 73 of the Ries impact crater (Siegert et al., 2017; http://doi.org/10.5880/fidgeo.2017.002. More information about sample preparation, methodology and precision expectations are given in the Explanatory File.
      
Repository samples and thin sections are available for more or less the whole sample set of Stöffler and selected samples from Schmitt and Siebenschock, and are stored in the impactite collection of the Museum für Naturkunde Berlin.
DOI: 10.5880/gfz.4.1.2017.003
title: Survey Mode GPS data in the IPOC Region, Central Andes, Chile

description: The survey-mode GPS (sGPS) network in the IPOC region consists of 91 geodetic markers. Over the last decade, the positions of these points in the network have been periodically measured, thus enabling us to quantify the decadal patterns of deformation processes. This temporal catalogue of coordinates complement the continuous GPS (cGPS) array. Meta-data and raw data in Rinex format for the surveys carried out in 2008, 2011, 2013, 2014, 2015, and 2016 are available for 91 sites in the north of Chile and the northwest of Argentina. Included in this temporal catalogue are observations made shortly after the 2014 Pisagua-Iquique earthquake. 
      Detailed information about data availability, metadata and site descriptions can be found at: https://kg189/gnss/IPOCSGPS. More description about the Integrated Plate Boundary Observatory Chile (IPOC) can be found at the IPOC Website (www.ipoc-network.org) and on the sGPS Survey on www.ipoc-network.org/associated-projects/gps-campaigns/.
DOI: 10.5880/gfz.4.1.2017.002
title: IPOC Creep

description: IPOC Creep is an array of 11 creepmeters installed along 4 active segments oft eh Atacama Fault Zone in Northern Chile. Installation of instruments started in 2008 within the framework of the Integrated Plate-boundary Observatory Chile (IPOC) and was completed in 2011. All installations are designed by the authors and follow a general concept, but are adapted to each site specifically. All the installed instruments use solid 12 mm thick invar rods as length standards, which are firmly attached to a concrete foundation in the hanging wall of the fault and pass through a PVC pipe to the footwall side of the fault where it is fixed to another concrete foundation. The creepmeters are buried at a depth of 30 - 70 cm, in order to increase the signal-to-noise ratio. We use a LVDT (linear variable differential transformer) with a range of 50 mm to monitor the relative displacement of the free end of the rod relative to the fixation point. Displacement is measured as voltage change and stored on a data logger with a sampling rate of 1/min (2008-2011 and 2/min (since 2011). Temperature at the rod is continuously measured with the same sampling rate to correct for thermal expansion and contraction of the length standard. The length of the instrument is dependent on the geometry at each site and ranges between 2 and 9 m. More specific information on each site can be found on http://www.ipoc-network.org/index.php/observatory/creepmeter.html . 
      
The Data is stored as time series since the initial start of operation of each creepmeter until July 2016. Data format is asci and contains 4 columns:
      
1st column Date[D.M.Y]
      
2nd column Time [HH:MM:SS]
      
3rd column ReferenceSensor[V]The reference signal is a steady signal of 1V and fluctuations indicate general voltage fluctuations in the setup. By normalizing to the reference signal it is possible to  correct for these voltage changes.
      
      4th column CreepSensor[V]The measured voltage of the CreepSensor is linearly proportional to the actual displacement. It can be converted to micrometers as follows: Displacement(µm) = (CreepSensor(t2)[V] - CreepSensor(t1)[V]) * 10000.
DOI: 10.5880/gfz.1.1.2017.001
title: IPOC cGPS - Continuous Mode GPS data in the IPOC Region, Northern Chile

description: The observation of the present-day deformation of the Earth's surface with high spatial and temporal resolution makes up a major part of the Integrated Plate Boundary Observatory Chile (IPOC, www.ipoc-network.org). For this purpose, continuously recording GPS stations were installed in Northern Chile since end of 2002. Eleven of IPOC stations (PB01 – PB11) are equipped with permanent recording GPS receivers (TOPCON GB-1000). They continuously measure at sampling rates of both, 1 second and 30 second. The GPS data are archived and processed in GFZ Potsdam.
      
Detailed information about data availability, metadata and site descriptions can be found at: https://kg3-dmz.gfz-potsdam.de/gnss/GFZPBOCGPS. More description about the Integrated Plate Boundary Observatory Chile (IPOC) can be found at the IPOC Website (http:/ipoc-network.org/observatory/gps/gps-at-ipoc). The Survey Mode GPS data in the IPOC Region was published by Moreno et al. (2017).