Other language confidence: 0.9268818309684678
This dataset contains geological data from the Western Afar Margin (WAM) in East Africa. These in-clude (reprocessed) earthquake data from previously published surveys and publically accessible databases (Keir et al. 2006, 2009; Ebinger et al 2008; Belachew et al. 2011; Illsley-Kemp et al. 2018a, b and the GCMT Project 2019), which form the basis for Seismic Moment Release (SMR) mapping as well as and tectonic stress analysis, revealing the location and intensity of ongoing deformation, as well as the direction of current extension, respectively. In addition, we present various large-scale maps of the WAM, depicting faults, dikes and sedimentary basins as interpreted from topographic indicators.Field data (GPS locations, fault measurements, field book), acquired during two field campaigns in Ethiopia and Eritrea are included, as well as the kinematic interpretation of the field data using Wintensor software (Delvaux & Sperner 2003). These results are combined with previously published kinematic data from Eritrea and Ethiopia (i.e. the northernmost and southern segments of the WAM, studied by Chorowicz et al. 1999 and Sani et al. 2017), yielding the first coherent overview of (current) tectonic deformation covering the whole margin. Note that we also provide a field book with detailed descriptions of every outcrop, including photographs. Finally, we include unique borehole data from the Kobo graben area, based on well logs from irrigation projects kindly provided to us by local geologists during the Ethiopian field campaign (see section 2.5 and the acknowledgements) .Applications and interpretation of the data provided in this dataset can be found in Zwaan et al. (in review). For more description please refer to the data description. This data publication consists of 90 files: (digital) maps, GPS locations, tables, text and Wintensor files. A detailed overview of all files within this dataset is given in the List of Files.
This data publication contains (i) a slab model of the Cascadia subduction zone, derived from receiver functions, parameterized as depth to the three interfaces: t (top), c (central) and m (Moho), in NetCDF format; (ii) the station measurements of all parameters in the model in tabular and Raysum model file format; (iii) the raw receiver functions in SAC format; and (iv) auxiliary scripts for loading and plotting the data. A total of 45,601 individual receiver functions recorded at 298 seismic stations distributed across the Cascadia forearc contributed to the slab model. For each station, 100 s recordings symmetric about the P -wave arrival (i.e. 50 s noise and 50 s signal) of earthquakes with magnitudes between 5.5 and 8, in the distance range between 30 and 100 degree, were downloaded from the Incorporated Research Institutions for Seismology (IRIS) data center, the Northern California Earthquake Data Center (NCEDC), and the Natural Resources Canada Data Center (NRCAN). After quality control, radial and transverse receiver functions were computed through frequency-domain simultaneous deconvolution, with an optimal damping factor found through generalized cross validation. The continental forearc and subducting slab were parameterized as three layers over a mantle half-space, with the subduction stratigraphy bounding interfaces labeled as t (top), c (central) and m (Moho). Synthetic receiver functions were calculated through ray-theoretical modeling of plane-wave scattering at the model interfaces. The thickness, S -wave velocity (VS) and P - to S -wave velocity ratio (VP/VS) of each layer, as well as the common strike and dip of the bottom two layers and the top of the half space (in total 11 parameters) were optimized simultaneously through a simulated annealing global parameter search scheme. The misfit was defined as the anti-correlation (1 minus the cross-correlation coefficient) between the observed and predicted receiver functions, bandpass filtered between 2 and 20 s period duration. In total, 171, 143 and 137 quality A nodes were determined to constrain the t, c and m interfaces, respectively. At the trench, 105 nodes at 3 km below the local bathymetry were inserted to constrain the t and c interfaces, and at 6.5 km deeper to constrain the m interface, representing typical sediment and igneous crustal thicknesses. A spline surface was fitted to these nodes to yield margin-wide depth models. The spline coefficients were found using singular value decomposition, with the nominal depth uncertainties supplied as weights. The solution was damped by retaining the 116, 117, and 116 largest singular values for the t, c and m interfaces, respectively, based on analysis of L-curves and the Akaike information criterion. The data set is the supplemental material to Bloch, W., Bostock, M. G., Audet, P. (2023) A Cascadia Slab Model from Receiver Functions. Geochemistry, Geophysics, Geosystems.
This dataset provides point-shapefiles and geotiffs, related to the figures presented in (Frick et al., 2022a, 2022b). It covers most of northern Germany, with the boundaries defined by the extent of the North German Basin, which is part of the Central European Basin System. The files contain information on the depth (m.b.s. = meter below surface), thickness, temperature, heat in place and heat storage potential of selected geological units and the formations therein. These data are an addendum to the data presented in (Frick et al., 2022a, 2022b), resolving 5 geological units and 9 formations. The data are presented as regularly spaced point-shapefiles, with a spacing of 1000 m. The data were produced as part of the Helmholtz Climate Initiative (HICAM), which focuses on Net Zero 2050 (mitigation) and Adapting to Extreme Events (adaptation). As part of this initiative, estimates of the heat in place and heat storage potential of the subsurface play an important part for mitigation of fossil fuel bound emissions as they pose a promising alternative (geothermal energy). The data presented here, therefore give an overview of areas which might be suited for geothermal applications in the different geothermal target units and formations. We integrated the recently published TUNB Model (BGR et al., 2021) as well as available borehole data, data from the Sandsteinfazies and GeoPoNDD projects (Franz et al., 2018, 2015) and temperature data from two models (Agemar et al., 2014; Frick et al., 2021) the process of which will be described in the following.
The European-Mediterranean Seismological Centre (EMSC) is a non-profit scientific organization aiming at establishing and operating a rapid earthquake detection system globally and in particular in the European and Mediterranean regions as well as facilitating exchange between seismological institutes. The EMSC has been a pioneer in citizen seismology by collecting in-situ information on the earthquake impact directly from the witnesses. The EMSC has been collecting citizen intensity felt reports at a global scale for many years via two channels: its websites and its “LastQuake” smartphone application. These felt reports are collected through a set of 12 cartoons representing the 12 levels of the European Macroseismic Scale (Grünthal, 1998). They provide rapid information on how the earthquake’s impact is felt by the local population. The EMSC felt reports were shown to be consistent with the USGS Did You Feel It? (Wald et al., 2011) responses and with manually derived macroseismic datasets (Bossu et al., 2016). This dataset includes four ".csv" files in total. The file, "felt_reports_2014_2021.csv" and "catalog_2014_2021.csv" contain an exhaustive set of globally collected felt reports between January 2014 and December 2021, and the corresponding earthquake catalog, respectively. The files "felt_reports_2022.csv" and "catalog_2022.csv" contain felt reports for a selection of 11 well reported earthquakes from 2022 and the corresponding earthquake catalog, respectively. This data is the foundation of the work by Lilienkamp et al. (2023).
The main component of this data publication is a dataset of predicted daily nutrient concentrations for NO3-N and TP for 150 monitoring stations along 60 German rivers (main rivers). The aim of this dataset is to fill the data gap of daily nutrient concentrations for a better understanding of nutrient transport from the rivers to the seas. So far, nutrient concentrations are sampled on a fortnightly basis, which can be insufficient for nutrient retention models working on a daily basis. With this method and available datasets, river basin managers have the opportunity to look at nutrient concentrations or load patterns on a finer resolution to adapt their management to improve water quality. The dataset was obtained by a random forest model (RF) based on measured NO3-N and TP concentrations between the years 2000 and 2019. The data was requested or where available downloaded from official websites of the Federal States or River Basins. Different variables for NO3-N and TP were finally considered in the models to produce the RF, like discharge, land use, day of the year.
This publication contains software that can be used to pre-process data from the Globe at Night citizen science project, and then run an analysis to determine the rate of change in sky brightness. The software requires input data, which can be obtained directly from Globe at Night. The data used for our publication "Citizen scientists report global rapid reductions in the visibility of stars from 2011 to 2022" is published here, and can be used as input to the software. The process requires access to the World Atlas of Artificial Night Sky Brightness, which is also available from GFZ Data Services.
The published data sets are derived from radio spectrum measurements at GFZ’s Satellite Receiving Station at Ny-Ålesund, Spitsbergen (station described in Falck et al., 2020). The engaged radio spectrum monitoring system was designed and installed by GFZ to support analysis, assessments and discussions on local usage of radio systems, radio interference issues and radio silence at Ny-Ålesund. Radio silence is an important topic (https://nyalesundresearch.no/research-and-monitoring/researchers-guide/using-radio-frequences/), in order to support and protect the operation of sensible instruments, especially the antennas at the local VLBI station (Very Long Baseline Interferometry). Transmissions at frequencies between 2 and 32 GHz are generally prohibited by Norwegian regulations in a 20 km radius around Ny-Ålesund (with exemptions for safety-relevant applications). This includes all kinds of Wifi/WLAN- and Bluetooth transmissions (2.4 GHz and 5.7 GHz band), both, from consumer electronics and scientific instruments. GFZ’s radio spectrum measurements started mid of September 2023 (commissioning phase) and entered full functionality on 11. October 2023. The monitoring system includes an easy-to-handle, graphical user interface (https://rsm.gfz.de, online since 1.October 2024) to display graphics from the measurement data, as processed by GFZ. Also, daily plots and raw data are available from the website for user-selectable days and antennas. We recommend to visit the website to become acquainted with the published data. This publication covers raw data (numerical, full resolution) and data processed by GFZ (graphical, lower resolution). The main components of the measurement system, the measurement procedures and the file structures of the published data are described in separate documents.
Large rock slope failures play a pivotal role in long-term landscape evolution and are a major concern in land use planning and hazard aspects. While the failure phase and the time immediately prior to failure are increasingly well studied, the nature of the preparation phase remains enigmatic. This knowledge gap is due, to a large degree, to difficulties associated with instrumenting high mountain terrain and the local nature of classic monitoring methods, which does not allow integral observation of large rock volumes. Here, we analyse data from a small network of up to seven seismic sensors installed during July--October 2018 (with 43 days of data loss) at the summit of the Hochvogel, a 2592 m high Alpine peak. We develop proxy time series indicative of cyclic and progressive changes of the summit. Fundamental frequency analysis, horizontal-to-vertical spectral ratio data and end-member modelling analysis reveal diurnal cycles of increasing and decreasing coupling stiffness of a 126,000 m^3 large, instable rock volume, due to thermal forcing. Relative seismic wave velocity changes also indicate diurnal accumulation and release of stress within the rock mass. At longer time scales, there is a systematic superimposed pattern of stress increases over multiple days and episodic stress release within a few days, expressed in an increased emission of short seismic pulses indicative of rock cracking. We interpret our data to reflect an early stage of stick slip motion of a large rock mass, providing new information on the development of large-scale slope instabilities towards catastrophic failure.
The Global Gravity-based Groundwater Product (G3P) provides groundwater storage anomalies (GWSA) from a cross-cutting combination of GRACE/GRACE-FO-based terrestrial water storage (TWS) and storage compartments of the water cycle (WSCs) that are part of the Copernicus portfolio. The data set comprises gridded anomalies of groundwater, TWS, and the WSCs glacier, snow, soil moisture and surface water bodies plus layers containing uncertainty information for the individual data products. All WSCs are spatially filtered with a Gaussian filter to be compatible with TWS. Spatial coverage is global, except Greenland and Antarctica, with 0.5-degree resolution. Temporal coverage is from April 2002 to September 2023 with monthly temporal resolution. Gridded data sets are available as NetCDF files containing variables for the parameter value as anomaly in mm equivalent water height and the parameter’s uncertainty as mm equivalent water height. The latest version of the data is visualized at the GravIS portal: https://gravis.gfz-potsdam.de/gws. From GravIS, the data is also available as area averages for several large river basins and aquifers, as well as for climatically similar regions. G3P was funded by the EU Horizon 2020 programme in response to the call LC-SPACE-04-EO-2019-2020 “Copernicus evolution – Research activities in support of cross-cutting applications between Copernicus services” under grant agreement No. 870353. --------------------------------------------------------------------------------------------- Version History: 10 March 2023: Release of Version v1.11. That version is the initial release of the data (Güntner et al., 2023; https://doi.org/10.5880/G3P.2023.001) (DATE TO BE ADDED) Release of Version v1.12. Temporal coverage has been extended until September 2023.
The Global Gravity-based Groundwater Product (G3P) provides groundwater storage anomalies (GWSA) from a cross-cutting combination of GRACE/GRACE-FO-based terrestrial water storage (TWS) and storage compartments of the water cycle (WSCs) that are part of the Copernicus portfolio. The data set comprises gridded anomalies of groundwater, TWS, and the WSCs glacier, snow, soil moisture and surface water bodies plus layers containing uncertainty information for the individual data products. All WSCs are spatially filtered with a Gaussian filter to be compatible with TWS. Spatial coverage is global, except Greenland and Antarctica, with 0.5-degree resolution. Temporal coverage is from April 2002 to December 2020 with monthly temporal resolution. Gridded data sets are available as NetCDF files containing variables for the parameter value as anomaly in mm equivalent water height and the parameter’s uncertainty as mm equivalent water height. The latest version of the data is visualized at the GravIS portal: https://gravis.gfz-potsdam.de/gws. From GravIS, the data is also available as area averages for several large river basins and aquifers, as well as for climatically similar regions. G3P was funded by the EU Horizon 2020 programme in response to the call LC-SPACE-04-EO-2019-2020 “Copernicus evolution – Research activities in support of cross-cutting applications between Copernicus services” under grant agreement No. 870353. --------------------------------------------------------------------------------------------- Version History: 10 March 2023: Release of Version v1.11. This is the initial release of the data.
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