ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Data  (1,085)
  • Published Data from GFZ  (1,085)
Collection
  • Data  (1,085)
Source
Keywords
Publisher
Language
Years
  • 31
    facet.materialart.
    Unknown
    The satellite-only gravity field model GOCO06s (2019)
    GFZ Data Services
    Details
    Publication Date: 2021-09-02
    Description: Abstract
    Description: GOCO06s is a satellite-only, global gravity field model up to degree and order 300, with secular and annual variations up to degree and order 120. It was produced by the GOCO Team (Technical University of Munich, University of Bonn, Graz University of Technology, Austrian Academy of Sciences, University of Bern) and is based on 1,160,000,000 observations from 19 satellites. The contributing satellite mission are: GOCE (TIM6 gradiometer observations), GRACE (ITSG-Grace2018s), kinematic orbits from Swarm A+B+C, TerraSAR-X, TanDEM-X, CHAMP, GRACE and GOCE, and SLR observations to LAGEOS, LAGEOS 2, Starlette, Stella, AJISAI, LARES, LARETS, Etalon 1/2 and BLITS. The combination of the individual data sources is performed on the basis of the full systems of normal equations, where the relative weighting between each constituent is determined by variance component estimation. In order to account for the polar gap of GOCE, the solution is Kaula-regularized after degree and order 150.The model is available via the ICGEM Service (Ince et al., 2019)
    Description: TechnicalInfo
    Description: PARAMETERS:modelname GOCO06sproduct_type gravity_fieldearth_gravity_constant 3.9860044150e+14radius 6.3781363000e+06max_degree 300norm fully_normalizedtide_system zero_tideerrors formal
    Keywords: ICGEM ; global gravitational model ; GOCO ; GOCE ; GRACE ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITATIONAL FIELD ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS
    Type: Dataset
    Format: 4 Files
    Format: application/octet-stream
    Format: application/octet-stream
    Format: application/octet-stream
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA GFZ
  • 32
    facet.materialart.
    Unknown
    Hydro-sedimentological dataset for the mesoscale mountainous Isábena catchment, NE Spain (2018)
    GFZ Data Services
    Details
    Publication Date: 2021-08-31
    Description: Abstract
    Description: Version history: This datased is an updated version of Francke et al. (2017; http://doi.org/10.5880/fidgeo.2017.003) for a revised version of this discussion paper. It contains further data collected, 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 2010-2018 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 have been published with the CUAHSI Water Data Center and is structured according to its guidelines (.csv format). For more detailed information please read the user guide on cloud publications with the CUAHSI Water Dater Center or the ODM guide for uploading data using CUAHSI´s ODM uploader added to the folder CUAHSI_ODM-Guide.zip. The database can be found in the HISCENTRAL catalogue (http://hiscentral.cuahsi.org/pub_network.aspx?n=5622). It is directly accessible via the API (http://hydroportal.cuahsi.org/isabena/cuahsi_1_1.asmx?WSDL) or in zipped archives at this DOI Landing Page (http://doi.org/10.5880/fidgeo.2018.011). 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 in the ODM_Guide.zip archive.The data are available 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 spectraand are complemented by:(5) CUAHSI_ODM-Guide: User Guide, CUAHSI´s ODM uploader in Excel (.xlsx) and Open Office (.ods) formats(6) scripts: auxiliary R-script templates for data access, data analysis and visualisation(7) supplementary materials: stage-discharge- and turbidimeter rating curves
    Keywords: rainfall ; discharge ; suspended sediment concentration ; soil spectroscopy ; fingerprint properties ; meso-scale ; EARTH SCIENCE 〉 ATMOSPHERE 〉 PRECIPITATION ; EARTH SCIENCE 〉 SPECTRAL/ENGINEERING 〉 INFRARED WAVELENGTHS 〉 REFLECTED INFRARED ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 WATER QUALITY/WATER CHEMISTRY 〉 TURBIDITY ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SURFACE WATER 〉 STAGE HEIGHT ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SURFACE WATER 〉 DISCHARGE/FLOW ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 SEDIMENT TRANSPORT ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SURFACE WATER 〉 RIVERS/STREAMS
    Language: English
    Type: Dataset , Dataset
    Format: 183324730 Bytes
    Format: 10 Files
    Format: application/x-zip-compressed
    Format: application/x-zip-compressed
    Format: application/x-zip-compressed
    Format: application/x-zip-compressed
    Format: application/x-zip-compressed
    Format: application/x-zip-compressed
    Format: application/octet-stream
    Format: application/octet-stream
    Format: application/pdf
    Format: application/x-zip-compressed
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA GFZ
  • 33
    facet.materialart.
    Unknown
    Sentinel-1 ice surface velocities of Svalbard (2021)
    GFZ Data Services
    Details
    Publication Date: 2021-09-03
    Description: Abstract
    Description: The data set comprises Sentinel-1 scene pair-velocity fields, as well as monthly and annually averaged velocity mosaics over Svalbard for the period January 2015 - November 2020. The data are provided as GeoTIFF rasters in UTM (scene-pair velocity fields) and polar stereographic north (mosaics) coordinate reference systems at a spatial resolution of 200 m and were derived by applying a well-established intensity offset tracking algorithm (Strozzi et al., 2002; Wegmüller et al., 2016; Friedl et al., 2018; Wendleder et al., 2018; Seehaus et al., 2018). For tracking, we used consecutive pairs of single or dual polarized Sentinel-1 SLC (Single Look Complex) TOPS (Terrain Observation with Progressive Scans in azimuth) SAR (Synthetic Aperture Radar) images recorded in IW (Interferometric Wide swath) mode at a pixel spacing of ~14 m in azimuth (az) and ~3 m in range (r), and a spatial coverage of ~250 x 250 km. For the time from 2015 to 2016, Sentinel-1 imagery is available at a minimum repeat cycle of 12 days and from 2016 onward at a minimum repeat cycle of 6 days. The Sentinel-1 data were obtained from the ASF (Alaska Satellite Facility) DAAC (Distributed Active Archive Center), https://search.asf.alaska.edu. In case of dual polarized acquisitions (HH+HV or VV+VH), we only used the HH or VV channels for the processing.
    Description: Methods
    Description: Scene pair-velocity fields were generated by applying intensity offset tracking (feature tracking and speckle tracking) on two subsequent Sentinel-1 images (master and slave scene), using a window size of 250 x 50 pixels and a step size of 50 x 10 pixels. The results were (1) UTM-geocoded and orthorectified with the help of an external digital elevation model (3 arc second TanDEM-X Global DEM, Wessel et al., 2018), (2) filtered with an effective three-step filter approach (Lüttig et al., 2017) that removes 〉 99% of erroneous measurements and (3) corrected for remaining coregistration errors based on the median of the filtered range- and the azimuth-velocities measured over ice-free ground. The effective time stamp of each velocity field is derived as the mean date of the acquisition dates of the master and the slave scene. Annual and monthly mosaics were derived from all filtered and corrected scene pair-velocity products that have a time stamp between 1 January–31 December of a year and between the first and the last day of a month, respectively. Before mosaicking, all scene-pair velocity fields were reprojected to polar stereographic north. We calculated the weighted means of the x- and y-velocity components, the velocity magnitude, the acquisition date, the time separation between the images, the displacement angle relative to true north, as well as the number of measurements per pixel. Additionally, we calculated the weighted standard deviation and the weighted standard error for the x and y velocity components, as well as the velocity magnitude. For averaging we took the SNR (Signal to Noise Ratio) of each velocity measurement pixel as weight. Scene pair-velocity products and mosaics are provided as GeoTIFF rasters. The coverage files, containing the footprints of the Sentinel-1 scenes, are provided as shapefiles (.shp). The corresponding metadatafiles are text files (.txt). Quicklooks of the scene pair-velocities and the mosaics magnitudes (m d-1) are in .png format.
    Keywords: ice velocity ; remote sensing ; feature tracking ; speckle tracking ; Sentinel-1 ; SAR ; Earth Observation Satellites 〉 Sentinel GMES 〉 SENTINEL-1A ; Earth Observation Satellites 〉 Sentinel GMES 〉 SENTINEL-1B ; Earth Remote Sensing Instruments 〉 Active Remote Sensing 〉 Imaging Radars 〉 SENTINEL-1 C-SAR ; EARTH SCIENCE 〉 CRYOSPHERE 〉 GLACIERS/ICE SHEETS 〉 GLACIER MOTION/ICE SHEET MOTION ; EARTH SCIENCE 〉 CRYOSPHERE 〉 GLACIERS/ICE SHEETS 〉 GLACIERS
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA GFZ
  • 34
    facet.materialart.
    Unknown
    GNSS signal power data for reflectometry recorded during the MOSAiC Expedition (leg 1) (2021)
    GFZ Data Services
    Details
    Publication Date: 2021-09-09
    Description: Abstract
    Description: Reflected signals of Global Navigation Satellite Systems (GNSS) have been investigated for various applications in remote sensing over the last three decades. The overall research field of GNSS reflectometry includes the retrieval of sea ice parameters as an important application. For this purpose, GNSS reflectometry data have been recorded over the Arctic Ocean with a dedicated receiver setup during the MOSAiC expedition (Multidisciplinary drifting Observatory for the Study of Arctic Climate). The setup was mounted on the German research icebreaker Polarstern (AWI, 2017) that drifted during nine months of the expedition with the Arctic sea ice. The here described data set comprises the expedition’s first leg in autumn 2019. It includes the drift period of the ship from 27th September until 14th December at about 82°N to 87°N in the Siberian Sector of the Arctic. The data set is based on essential contributions of setup & data recording (by GFZ), maintenance & data transfer (by AWI and MOSAiC partners), processing to data level 1 & documentation (by DLR-SO). The level 1 data consist of GNSS signal power estimates of the direct and reflected signal. Data appear in event files (netcdf format) sorted into day folders. Each event includes observations of a satellite on a continuous track, here, in a satellite elevation range from min. 1° to max. 45°. A dedicated GNSS reflectometry receiver, of GORS (GNSS Occultation Reflectometry Scatterometry) type, was used for the measurements. It is equipped with four antenna front-ends. A master channel and two slave channels are assigned to the front-ends. The master channel tracks the GNSS signal on the direct link. The slave channels are dedicated for observations of reflection events: one at left-handed (LH) and another one at right-handed (RH) circular polarization. The respective up-looking master antenna and port-side looking slave antenna (dual-polarization) are set up with a short baseline on the ship’s observation deck, about 22 m above the water level. The given ship-based geometry results in events with rather short excess paths of the reflected signal relative to the direct signal, much less than the range of a code chip (about 300 m for GPS L1 C/A). Interferometric pattern of direct and reflected signal contributions are observed in the channel. A separation step is required in further processing.
    Keywords: GNSS Reflectometry ; Sea Ice ; relative Permittivity ; MOSAiC ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GNSS RECEIVER
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA GFZ
  • 35
    facet.materialart.
    Unknown
    Stable isotope (2H and 18O) depth profiles of pore waters and inferred soil physical parameters in the Attert catchment, Luxembourg (2021)
    GFZ Data Services
    Details
    Publication Date: 2021-09-08
    Description: Abstract
    Description: Depth profiles of stable water isotopes in the soil provide important information on flow and transport processes in the subsurface. We sampled depth profiles of stable water isotopes (2H and 18O) in the pore waters on two occasions at 46 sites in the Attert catchment, Luxembourg and are partly located in mixed deciduous forest and partly on grassland. These sites correspond to the sensor cluster sites of the DFG research unit CAOS. Sampling took place once between February 2012 and October 2013 and once in June 2014. Sampling procedure: We took 1-3 soil cores of 8 cm diameter in close proximity with a percussion drill (Atlas Copco Cobra, Stockholm, Sweden) at each study site within a radius of 5 m from the soil moisture sensor profiles. We drilled as deep as possible and divided the extracted soil cores into subsamples of 5 to 10 cm length and sealed the material in air tight bags (Weber Packaging, Güglingen, Germany). The soil sample depths were corrected for compaction during the drilling pro-cess and are provided as the mean depth of 5 or 10 cm soil core subsamples. For isotope analyses of the pore water, we used the direct equilibration method (Wassenaar et al., 2008). Analyses were carried out at the Chair of Hydrology, University of Freiburg. We provide detailed information about the laboratory analyses in Sprenger et al. (2015) and Sprenger et al. (2016) and the data description associated with the data.
    Keywords: Stable isotopes ; Vadose zone ; Pore water ; Soil hydraulic parameter ; Soil hydraulic modelling ; Soil Hydrology ; CAOS ; Catchments as Organised Systems ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 HYDRAULIC CONDUCTIVITY ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 SOIL HORIZONS/PROFILE ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 SOIL TEXTURE ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 WATER QUALITY/WATER CHEMISTRY 〉 STABLE ISOTOPES ; EARTH SCIENCE SERVICES 〉 MODELS 〉 HYDROLOGIC AND TERRESTRIAL WATER CYCLE MODELS
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA GFZ
  • 36
    facet.materialart.
    Unknown
    Balanced cross sections along the Giudicarie Belt (Southern Alps, Northern Italy) in 3-D Move (2021)
    GFZ Data Services
    Details
    Publication Date: 2021-09-13
    Description: Abstract
    Description: Neogene indentation of the Adriatic plate into Europe led to major modifications of the Alpine orogenic structures and style of deformation in the Eastern Alps. Especially, the offset of the Periadriatic Fault by the Northern Giudicarie Fault marks the initiation of strike-slip faulting and lateral extrusion of the Eastern Alps. Questions remain on the exact role of this fault zone in changes of the Alpine orogen at depth. This necessitates quantitative analysis of the shortening, kinematics and depth of decoupling underneath the Northern Giudicarie Fault and associated fold-and thrust belt in the Southern Alps. Tectonic balancing of a network of seven cross sections through the Giudicarie Belt parallel to the local shortening direction reveals that it comprises two kinematic domains with different amounts and partly overlapping ages of shortening. This data publication provides the cross sections that were not shown within Verwater et al. (2021, submitted to Solid Earth) (see figure A1.1 for section traces) but show lateral variations in shortening in present-day cross-sections across the study area (section A1.1). Cross sections 1, 5 and 6, which are discussed within the manuscript, will be described in more detail within section A1.2 (cross section 1), A1.3 (cross section 5) and A1.4 (cross section 6). In addition, the approach used for forward modelling in Move will be shown within section A2, as well as alternative kinematic scenarios that were tested for Cross sections 6. Section B describes the methods and datasets used for obtaining the location and depth of seismicity plotted along cross sections 1, 5 and 6 in Verwater et al. (submitted).
    Keywords: Structural Geology ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT 〉 FAULT MOVEMENT DIRECTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT 〉 FAULT MOVEMENT RATE ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FOLDS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRAIN ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS ; lithosphere 〉 earth's crust 〉 fault
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA GFZ
  • 37
    facet.materialart.
    Unknown
    Dataset of Upper Palaeolithic site probability in Lower Austria (2021)
    CRC806-Database
    Details
    Publication Date: 2021-09-14
    Description: Abstract
    Keywords: geospatial data ; machine learning ; predictive modelling ; site probability
    Type: Dataset , dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA GFZ
  • 38
    facet.materialart.
    Unknown
    Geochemical data on rock weathering along an erodosequence (2021)
    GFZ Data Services
    Details
    Publication Date: 2021-09-15
    Description: Abstract
    Description: We provide geochemical background data on the partitioning and cycling of elements between rock, saprolite, soil, plants, and river dissolved and solid loads from at three sites along a global transect of mountain landscapes that differ in erosion rates – an “erodosequence”. These sites are the Swiss Central Alps, a rapidly-eroding post-glacial mountain belt; the Southern Sierra Nevada, USA, eroding at moderate rates; and the slowly-eroding tropical Highlands of Sri Lanka. The backbone of this analysis is an extensive data set of rock, saprolite, soil, water, and plant geochemical data. This set of elemental concentrations is converted into process rates by using regolith production and weathering rates from cosmogenic nuclides, and estimates of biomass growth. Combined, they allow us to derive elemental fluxes through regolith and vegetation. The main findings are: 1) the rates of weathering are set locally in regolith, and not by the rate at which entire landscapes erode; 2) the degree of weathering is mainly controlled by regolith thickness. This results in supply-limited weathering in Sri Lanka where weathering runs to completion, and kinetically-limited weathering in the Alps and Sierra Nevada where soluble primary minerals persist; 3) these weathering characteristics are reflected in the sites’ ecosystem processes, namely in that nutritive elements are intensely recycled in the supply-limited setting, and directly taken up from soil and rock in the kinetically settings; 4) contrary to common paradigms, the weathering rates are not controlled by biomass growth; 5) at all sites we find a deficit in river solute export when compared to solute production in regolith, the extent of which differs between elements but not between erosion rates. Plant uptake followed by litter erosion might explain this deficit for biologically utilized elements of high solubility, and rare, high-discharge flushing events for colloidal-bound elements of low solubility. Our data and the new metrics have begun to serve for calibrating metal isotope systems in the weathering zone, the isotope ratios of which depend on the flux partitioning between the compartments of the Critical Zone. We demonstrate this application in several isotope geochemical companion papers with associated datasets from the same samples. All samples are assigned with International Geo Sample Numbers (IGSN), a globally unique and persistent Identifier for physical samples. The IGSNs are provided in the data tables and link to a comprehensive sample description in the internet.
    Description: Other
    Description: Part 1: Tables included in this data publication (All tables are included in 2021-001_vonBlanckenburg-et-al_ASS_Data_part-1.xlsx and additionally provided in tab delimited text version): Table A1. Swiss Alps analyses of soil, saprolite, rock Table A2. Swiss Alps analyses of water samples Table A3. Swiss Alps analyses of plant samples from the Swiss Alps Table SN1. Sierra Nevada analyses of soil, saprolite, rock Table SN2. Sierra Nevada analyses of water samples Table SN3. Sierra Nevada analyses of plant samples Table SL1. Sri Lanka analyses of soil, saprolite, rock Table SL2. Sri Lanka analyses of water samples. Element concentration analyses and pH Table SL3. Sri Lanka analyses of plant samples Table C1. Summary of principle ASS site characteristics Table C2. Compilation of Denudation rates from river cosmogenic nuclides in river sediment and soil associated production rates Table C3. Compilation of soil production rates, CDF, and chemical weathering rates of ASS sites Table C4. Fractional contributions of endmembers from a inversion of dissolved elements in streams Table C5. Flux Summary: Plant uptake rates, recycling ratios, and dissolved export efficiency Table C6. Data quality control for plant concentration analyses Part 2: Supplementary Data included in this data publication (file: 2021-001_vonBlanckenburg-et-al_ASS_Data_part-2.pdf): 1. Sources of River Solutes from End Member Mixing Analysis (EMMA) 2. Reassessment of Dust Input in the Sierra Nevada 3. Rock and Regolith Mineralogical Composition from X_Ray Diffraction ((XRD)
    Keywords: river water ; vegetation ; vegetation chemical composition ; EARTH SCIENCE 〉 BIOSPHERE 〉 AQUATIC ECOSYSTEMS 〉 RIVERS/STREAM HABITAT ; EARTH SCIENCE 〉 BIOSPHERE 〉 ECOLOGICAL DYNAMICS 〉 ECOSYSTEM FUNCTIONS 〉 NUTRIENT CYCLING ; EARTH SCIENCE 〉 BIOSPHERE 〉 TERRESTRIAL ECOSYSTEMS 〉 FORESTS ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 NUTRIENTS ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 PHOSPHORUS ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 EROSION ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 WEATHERING ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROCESSES 〉 CHEMICAL WEATHERING ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROCESSES 〉 DECOMPOSITION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROCESSES 〉 MINERAL DISSOLUTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 CHEMICAL CONCENTRATIONS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPE RATIOS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL PROCESSES 〉 WEATHERING
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA GFZ
  • 39
    facet.materialart.
    Unknown
    Analysis of Detections by the Earthquake Network App between 2017-12-15 and 2020-01-31 (2021)
    GFZ Data Services
    Details
    Publication Date: 2021-09-20
    Description: Abstract
    Description: The 'Earthquake Network’ (EQN) is an app which detects earthquakes by creating an ad-hoc network of smartphones' accelerometer sensors and provides early warnings for earthquakes via the same smartphone app. Detections are not due to individual smartphone measurements but due to near-simultaneous trigger signals from clusters of smartphones running the app. Therefore detections are normally located in the closest populated regions to an earthquake's epicentre. These datasets compare sets of detections with the earthquake parameters published by seismic institutes in order to analyse the performance of the EQN network. One dataset contains 550 detections made by EQN between 2017-12-15 and 2020-01-31 in Chile, USA and Italy. Wherever possible, each detection was associated with an earthquake from the parameter catalogue of each country's seismic institute (CSN for Chile, USGS for USA and INGV for Italy). Associations were carried out automatically but also checked manually. The other dataset contains 134 detections from around the world that could be associated to earthquakes with magnitude ≥ M5 or magnitude ≥ M4.5 in Italy and the USA. There are 68 detections that are common to the first dataset. All detections were associated to parameters from the the USGS earthquake parameter catalogue for consistency.
    Description: Methods
    Description: Earthquake parameters were retrieved from the seismic institutes via the FDSN protocol. The two datasets are encoded in csv files using ',' delimiters and with headers on the first row. Additional material is included to explain the contents of each column.
    Description: TableOfContents
    Description: 2021_xxxx_steed-et-al_D1_usa_chl_ita.csv 2021_xxxx_steed-et-al_D2_mag_gt_4.5.csv
    Keywords: Earthquake Network ; earthquakes ; strong motion ; seismic waves ; smartphone ; citizen science ; seismic surface waves ; accelerometry ; ground motion ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC SURFACE WAVES ; geological process 〉 seismic activity 〉 earthquake ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 FDSN ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 IRIS-GSN ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; monitoring 〉 seismic monitoring ; safety 〉 safety system 〉 warning system 〉 early warning system
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA GFZ
  • 40
    facet.materialart.
    Unknown
    Hyperspectral imaging data of the northern mine face and of laboratory samples of the copper-gold-pyrite mine Apliki, Nicosia District, Republic of Cyprus (2021)
    GFZ Data Services
    Details
    Publication Date: 2021-09-20
    Description: Abstract
    Description: The data set contains VNIR and SWIR raw and reference hyperspectral imaging data of the Apliki mine open cut and of samples from the surface of the mine measured in the laboratory. It is con-nected to the published spectral library and chemical analyses of 37 different surface materials from the copper-gold-pyrite mine Apliki in the Republic of Cyprus (Koerting et al., 2019). The field outcrop scan was acquired in March 2018 in cooperation with the Geological Survey Department of the Republic of Cyprus (GSD) and the German Research Centre for Geosciences (GFZ). The laboratory sample scan presented in this document is a collection of hyperspectral scans compiled in one large dataset. The hyperspectral data in the field and the lab were acquired with the HySpex sys-tem in a range of 414 – 2498 nm. The field data is shared as one VNIR and one SWIR radiance and reflectance data cube each. The laboratory data is shared as one full VNIR-SWIR (414 – 2450nm) reflectance data cube that was processed and corrected for the detector jump, data spikes and the last 8 SWIR bands were clipped due to a low signal to noise ratio (SNR). The data and the samples originate from fieldwork in the Republic of Cyprus and laboratory work at the GFZ Potsdam. A detailed description of the data acquisition and processing can be found in Koerting (2021).
    Keywords: copper mining ; mine surface weathering ; hyperspectral ; spectral library ; copper minerals ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Spectrometers/Radiometers 〉 Imaging Spectrometers/Radiometers ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 IGNEOUS ROCKS 〉 IGNEOUS ROCK PHYSICAL/OPTICAL PROPERTIES ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 METALS 〉 METALS PHYSICAL/OPTICAL PROPERTIES
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA GFZ
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...