2026-05-07T00:54:14Zhttp://doidb.wdc-terra.org/oaip/oai

oai:doidb.wdc-terra.org:65422018-06-30T12:26:22ZDOIDBDOIDB.WSM

Smoothed global stress maps based on the World Stress Maps database release 2016 Heidbach, Oliver Ziegler, Moritz GFZ Data Services 2018 Created: 2018-05-01 http://dx.doi.org/10.5880/WSM.2018.002 doi:10.5880/WSM.2018.002 url:www.world-stress-map.org doi:10.5880/WSM.2017.002 doi:10.5880/WSM.2016.001 doi:10.1029/2001GC000252 crustal stress in situ stress tectonic stress crustal stress pattern Abstract The World Stress Map (WSM) is the global compilation of information on the present-day stress field in the Earth's crust. The current WSM database release 2016 (Heidbach et al., 2016) has 42,870 data records, but the data are unevenly distributed and clustered.To analyse the wave-length of the crustal stress pattern of the orientation of maximum horizontal stress Shmax, we use so-called smoothed stress maps that show the mean SHmax orientation on regular grids. The mean SHmax orientation is estimated with the Matlab® script stress2grid (Ziegler and Heidbach, 2017) which is based on the statistics of bi-polar data. The script provides two different approaches to calculate the mean SHmax orientation on regular grids.The first is using a constant search radius around the grid point and computes the mean SHmax orientation if sufficient data records are within the given fixed search radius. This can result in mean SHmax orientations with a high standard deviation of the individual mean SHmax orientation and it may hide local perturbations. Thus, the mean SHmax orientation is not necessarily reliable for a local stress field analysis.The second approach is using variable search radii and determines the search radius for which the standard deviation of the mean SHmax orientation is below a user-defined threshold. This approach delivers the mean SHmax orientations with a user-defined degree of reliability. It resolves local stress perturbations and is not available in areas with no data or conflicting information that result in a large standard deviation.The search radius starts with 1000 km and is decreased in 100 km steps down to 100 km. Mean SHmax orientation is taken and plotted here for the largest search radius when the standard deviation of the mean SHmax orientation at the individual grid points is smaller than 25°. For the estimation of the mean Shmax we selected the following data: A-C quality data without PBE flag.Furthermore, only data records located on the same tectonic plate as the grid point is used to calculate the mean SHmax orientation. Minimum number of data records within the search radius is n = 5 and data records within a distance of d ≤ 200 km to the nearest plate boundary are not used. Plate boundaries are taken from the global model PB2002 from Bird (2003).Furthermore, a distance and data quality weight is applied; the distance threshold is set to 10% of the search radius. We provide the resulting smoothed stress data for four global grids (0.2°, 0.5°, 1°, and 2° grid spacing) using two fixed search radii (250 and 500 km) and the approach with variable search radii. Details on the format of the data files with the mean SHmax orientation are provided in the 2018-002_readme file. Heidbach, Oliver Ziegler, Moritz de Dataset 6034189 Bytes 2 Files application/x-zip-compressed application/pdf CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ -180.0000 180.0000 -80.0000 85.0000 Global Map

oai:doidb.wdc-terra.org:62732019-05-06T11:23:32ZDOIDBDOIDB.WSM

Matlab script Stress2Grid Ziegler, Moritz Heidbach, Oliver GFZ Data Services 2017 http://dx.doi.org/10.5880/wsm.2017.002 doi:10.5880/wsm.2017.002 doi:10.2312/wsm.2017.002 doi:10.5880/wsm.2016.001 doi:10.5880/wsm.2019.002 World Stress Map Stress orientation data analysis tool for Matlab EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS Abstract The distribution of data records for the maximum horizontal stress orientation SHmax in the Earth’s crust is sparse and very unequally. In order to analyse the stress pattern and its wavelength or to predict the mean SHmax orientation on a regular grid, statistical interpolation as conducted e.g. by Coblentz and Richardson (1995), Müller et al. (2003), Heidbach and Höhne (2008), Heidbach et al. (2010) or Reiter et al. (2014) is necessary. Based on their work we wrote the Matlab® script Stress2Grid that provides several features to analyse the mean SHmax pattern. The script facilitates and speeds up this analysis and extends the functionality compared to aforementioned publications. The script is complemented by a number of example and input files as described in the WSM Technical Report (Ziegler and Heidbach, 2017, http://doi.org/10.2312/wsm.2017.002).The script provides two different concepts to calculate the mean SHmax orientation on a regular grid. The first is using a fixed search radius around the grid point and computes the mean SHmax orientation if sufficient data records are within the search radius. The larger the search radius the larger is the filtered wavelength of the stress pattern. The second approach is using variable search radii and determines the search radius for which the variance of the mean SHmax orientation is below a given threshold. This approach delivers mean SHmax orientations with a user-defined degree of reliability. It resolves local stress perturbations and is not available in areas with conflicting information that result in a large variance. Furthermore, the script can also estimate the deviation between plate motion direction and the mean SHmax orientation. Ziegler, Moritz Heidbach, Oliver GFZ German Rersearch Centre for Geosciences en Software 5 Files application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream GNU General Public License, Version 3, 29 June 2007 Copyright © 2017 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany https://www.gnu.org/licenses/gpl-3.0.en.html

oai:doidb.wdc-terra.org:62192019-10-25T09:24:08ZDOIDBDOIDB.WSM

World Stress Map 2016 Heidbach, Oliver Rajabi, Mojtaba Reiter, Karsten Ziegler, Moritz GFZ Data Services 2016 Created: 2016-08-01 http://dx.doi.org/10.5880/WSM.2016.002 doi:10.5880/WSM.2016.002 url:http://www.world-stress-map.org doi:10.1029/2007TC002133 doi:10.1016/j.tecto.2009.07.023 doi:10.1144/GSL.SP.2003.212.01.07 doi:10.1029/92JB00132 doi:10.5880/WSM.2016.001 crustal stress in situ stress tectonic stress crustal stress pattern tectonics geophysics EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > LITHOSPHERIC PLATE MOTION > PLATE MOTION DIRECTION EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING > DATA SEARCH AND RETRIEVAL Abstract 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. The stress map displays A-C quality stress data records of the upper 40 km of the Earth’s crust from the WSM database release 2016 (doi:10.5880/WSM.2016.001). Focal mechanism solutions determined as being potentially unreliable (labelled as Possible Plate Boundary Events in the database) are not displayed. Further detailed information on the WSM quality ranking scheme, guidelines for the various stress indicators, and software for stress map generation and the stress pattern analysis is available at http://www.world-stress-map.org. GFZ German Research Centre for Geosciences de Dataset 14459029 Bytes 1 Files application/pdf CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ -180.0000 180.0000 -90 90 Global Map

oai:doidb.wdc-terra.org:2222019-10-25T15:40:45ZDOIDBDOIDB.WSM

The 2008 database release of the World Stress Map Project Heidbach, Oliver Tingay, Mark Barth, Andreas Reinecker, John Kurfess, Daniel Mueller, Birgit Deutsches GeoForschungsZentrum GFZ 2008 Issued: 2009-05-14 Created: 2008-07-25 Submitted: 2009-05-14 http://dx.doi.org/10.1594/GFZ.WSM.Rel2008 doi:10.1594/GFZ.WSM.Rel2008 doi:10.1016/j.tecto.2009.07.023 doi:10.1029/2007TC002133 doi:10.1144/GSL.SP.2003.212.01.07 doi:10.1029/92JB00132 doi:10.1594/GFZ.WSM.Map2009 doi:10.5880/wsm.2016.001 url:http://www.world-stress-map.org World Stress Map tectonics geophysics crustal stress in situ stress tectonic stress crustal stress pattern EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING > DATA SEARCH AND RETRIEVAL EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > LITHOSPHERIC PLATE MOTION > PLATE MOTION DIRECTION Abstract The World Stress Map (WSM) is the global repository for contemporary tectonic stress data from the Earth's crust. Its uniformity and quality is guaranteed through quality ranking of the data according to international standards and a standardized regime assignment. The WSM merges data which otherwise would be fragmented in separate, often inaccessible archives. It provides the long-term preservation of tectonic stress data from physical loss of data carriers or organizational problems of data storage. The data are provided as Excel table (xlsx) and tab-delimited text. en Dataset 1 Files application/octet-stream CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ -180 180 -90 90

oai:doidb.wdc-terra.org:2212019-10-28T19:11:25ZDOIDBDOIDB.WSM

The World Stress Map based on the database release 2008 Heidbach, Oliver Tingay, Mark Barth, Andreas Reinecker, John Kurfess, Daniel Mueller, Birgit Deutsches GeoForschungsZentrum GFZ 2009 Issued: 2009-05-14 Created: 2009-05-12 Submitted: 2009-05-14 http://dx.doi.org/10.1594/GFZ.WSM.Map2009 doi:10.1594/GFZ.WSM.Map2009 Abstract The World Stress Map (WSM) is the global repository for contemporary tectonic stress data from the Earth's crust. Its uniformity and quality is guaranteed through quality ranking of the data according to international standards and a standardized regime assignment. The WSM merges data which otherwise would be fragmented in separate, often inaccessible archives. It provides the long-term preservation of tectonic stress data from physical loss of data carriers or organizational problems of data storage. en Image 1 Datasets text/html

oai:doidb.wdc-terra.org:68222020-03-17T15:20:48ZDOIDBDOIDB.WSM

Modelled stress state in the Bavarian Molasse Basin with quantified uncertainties Ziegler, Moritz O. Heidbach, Oliver GFZ Data Services 2020 http://dx.doi.org/10.5880/wsm.2020.003 doi:10.5880/wsm.2020.003 doi:10.1186/s40517-015-0038-0 doi:10.1186/s40517-016-0059-3 doi:10.2312/wsm.2017.001 doi:10.2312/wsm.2019.001 doi:10.1186/s40517-020-00162-z geomechanical-numerical model stress in-situ stress Molasse Basin EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS Abstract These data are supplementary material to Ziegler & Heidbach (2020) and present the results of a 3D geomechanical-numerical model of the stress state with quantified uncertainties. The average modelled stress state is provided for each of the six components of the full stress tensor. In addition, the associated standard deviation for each component is provided. The modelling approach uses a published lithological model and the used data is described in the publication Ziegler & Heidbach (2020). The reduced stress tensor is derived using the Tecplot Addon GeoStress (Stromeyer & Heidbach, 2017). TechnicalInfo The model results are provided in a comma-separated ascii file. Each line in the file represents one of the approx. 3 million finite elements that comprise the model.The following data are provided for each element.1 - Location X / Easting (UTM 32)[m]2 - Location Y / Northing (UTM 32)[m]3 - Location Z / Depth below sea level [m]4 - Average of Sigma XX component of the stress tensor [Pa]5 - Standard Deviation of Sigma XX component of the stress tensor [Pa]6 - Average of Sigma YY component of the stress tensor [Pa]7 - Standard Deviation of Sigma YY component of the stress tensor [Pa]8 - Average of Sigma ZZ component of the stress tensor [Pa]9 - Standard Deviation of Sigma ZZ component of the stress tensor [Pa]10 - Average of Sigma XY component of the stress tensor [Pa]11 - Standard Deviation of Sigma XY component of the stress tensor [Pa]12 - Average of Sigma YZ component of the stress tensor [Pa]13 - Standard Deviation of Sigma YZ component of the stress tensor [Pa]14 - Average of Sigma ZX component of the stress tensor [Pa]15 - Standard Deviation of Sigma ZX component of the stress tensor [Pa]16 - Average of the maximum horizontal stress component (SHmax) [Pa]17 - Standard Deviation of the maximum horizontal stress component (SHmax) [Pa]18 - Average of the minimum horizontal stress component (Shmin) [Pa]19 - Standard Deviation of the minimum horizontal stress component (Shmin) [Pa]20 - The vertical stress component (Sv) [Pa]21 - Average of the differential stress (S1-S3) [Pa]22 - Standard Deviation of the differential stress (S1-S3) [Pa] en Dataset 1 Files application/octet-stream CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ 11.052246 12.890501 47.634564 48.392741 Eastern Bavarian Molasse Basin

oai:doidb.wdc-terra.org:62742020-08-17T17:41:45ZDOIDBDOIDB.WSM

Tecplot 360 Add-on GeoStress Stromeyer, Dietrich Heidbach, Oliver GFZ Data Services 2017 http://dx.doi.org/10.5880/wsm.2017.001 doi:10.5880/wsm.2017.001 doi:10.2312/wsm.2017.001 doi:10.5880/wsm.2016.001 EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS Abstract For the visualization and analysis of the stress field from 4D thermo-hydro-mechanical (THM) numerical model results two main technical steps are necessary. First, one has to derive from the six independent components of the stress tensor scalar and vector values such as the ori-entation and magnitude of the maximum and minimum horizontal stress, stress ratios, differential stress. It is also of great interest to display e.g. the normal and shear stress with respect to an arbitrarily given surface. Second, an appropriate geometry has to be given such as cross sections, profile e.g. for borehole pathways or surfaces on which the model results and further derived values are interpolated. This includes the three field variables temperature, pore pressure and the displacement vector.To facilitate and automate these steps the add-on GeoStress for the professional visualization software Tecplot 360 EX has been programmed. Besides the aforementioned values derived from the stress tensor the tool also allows to calculate the values of Coulomb Failure Stress (CFS), Slip and Dilation tendency (ST and DT) and Fracture Potential (FP). GeoStress also estimates kinematic variables such as horizontal slip, dip slip, rake vector of faults that are implemented as contact surfaces in the geomechanical-numerical model as well as the true vertical depth. Furthermore, the add-on can export surfaces and polylines and map on these all availble stress values.The technical report describes the technical details of the visualization tool, its usage and ex-emplifies its application using the results of a 3D example of a geomechanical-numerical model of the stress field. The numerical solution is achieved with the finite element software Abaqus version 6.11. It also presents a number of special features of Tecplot 360 EX in combination with GeoStress that allow a professional and efficient analysis. The Add-on and a number of example and input files are provided at http://doi.org/10.5880/wsm.2017.001. Heidbach, Oliver en Software 842301077 Bytes 3 Files application/pdf application/octet-stream text/plain GNU General Public License, Version 3, 29 June 2007, Copyright © 2017 World Stress Map Team, Helmoltz-Zentrum Potsdam Deutsches GeoForschungsZentrum GFZ. https://www.gnu.org/licenses/gpl-3.0.en.html

oai:doidb.wdc-terra.org:68992020-08-18T07:29:17ZDOIDBDOIDB.WSM

Stress Magnitude Database Germany Morawietz, Sophia Reiter, Karsten GFZ German Research Centre for Geosciences 2020 http://dx.doi.org/10.5880/wsm.2020.004 doi:10.5880/wsm.2020.004 doi:10.1186/s40517-020-00178-5 doi:10.5880/wsm.2016.001 doi:10.5880/WSM.Germany2016_en Stress tensor Stress magnitudes Database Geomechanical modelling World Stress Map WSM Germany EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Abstract This open access database compiles stress magnitude information from various sources. It currently includes 568 data records in the area of Germany and adjacent regions (latitude: 47 - 55.5 N; longitude: 5.8 - 15.1 E). The data records are ranked after a newly developed quality scheme for stress magnitude data. The data are provided in two formats: Excel-file (stressmagdata_germany_2020.xlsx), comma separated fields (stressmagdata_germany_2020.csv). Additional files include a) an overview over the compiled parameters including the abbreviation keys for stress magnitude indicators and stress regimes (List_of_parameters.pdf); b) the key for the referenced data sources (Key_for_ref_labels.pdf); and c) the applied quality ranking scheme (Quality_ranking_scheme.pdf). Morawietz, Sophia Dataset Dataset CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ Germany and adjacent regions 5.8 15.1 47 55.5

oai:doidb.wdc-terra.org:66432020-12-03T07:50:28ZDOIDBDOIDB.WSM

Python Script Apple PY Ziegler, Moritz O. Ziebarth, Malte Reiter, Karsten GFZ Data Services 2019 http://dx.doi.org/10.5880/wsm.2019.001 doi:10.5880/wsm.2019.001 doi:10.2312/wsm.2019.001 doi:10.5880/wsm.2018.003 geomechanical-numerical model stress in-situ stress modelling tool finite-elemeent model EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS Abstract In geosciences the discretization of complex 3D model volumes into finite elements can be a time-consuming task and often needs experience with a professional software. Especially outcropping or out-pinching geological units, i.e. geological layers that are represented in the model volume, pose serious challenges. Changes in the geometry of a model may occur well into a project at a point, when re-meshing is not an option anymore or would involve a significant amount of additional time to invest.In order to speed up and automate the process of discretization, Apple PY (Automatic Portioning Preventing Lengthy manual Element assignment for PYthon) separates the process of mesh-generation and unit assignment. It requires an existing uniform mesh together with separate information on the depths of the interfaces between geological units (herein called horizons). These two pieces of information are combined and used to assign the individual elements to different units. The uniform mesh is created with a standard meshing software and contains no or only very few and simple structures. The mesh has to be available as an Abaqus input file. The information on the horizons depths and lateral variations in the depths is provided in a text file. Apple PY compares the element location and depth with that of the horizons in order to assign each element to a corresponding geological unit below or above a certain horizon.Version History:Version 1.01 (29 August 2019) : Bug fixes - no change in functionality Manual for Version 1.0 remains valid- elems_exclude works now as designed and described in the manual.- commenting out elems_exclude does not crash the script anymore.- create_horizon_file does not create two instances of the uppermost horizon. Ziegler, Moritz O. Ziegler, Moritz O. Ziebarth, Malte Reiter, Karsten en Software 5 Files application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream GNU General Public License, Version 3, 29 June 2007 Copyright © 2019 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany https://www.gnu.org/licenses/gpl-3.0.en.html

oai:doidb.wdc-terra.org:69662021-01-29T09:25:17ZDOIDBDOIDB.WSM

Tecplot 360 Add-on GeoStress v. 2.0 Stromeyer, Dietrich Heidbach, Oliver Ziegler, Moritz GFZ Data Services 2020 http://dx.doi.org/10.5880/wsm.2020.001 doi:10.5880/wsm.2020.001 url:ftp://datapub.gfz-potsdam.de/download/10.5880.WSM.2020.001nve/WSM_TR_20_01_Geostress_v20_Manual.pdf doi:10.5880/wsm.2016.001 doi:10.5880/WSM.2017.001 url:https://www.world-stress-map.org/ Woeld Stress Map EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Abstract For the visualization and analysis of the stress field from 4D thermo-hydro-mechanical (THM) numerical model results two main technical steps are necessary. First, one has to derive from the six independent components of the stress tensor scalar and vector values such as the ori-entation and magnitude of the maximum and minimum horizontal stress, stress ratios, differential stress. It is also of great interest to display e.g. the normal and shear stress with respect to an arbitrarily given surface. Second, an appropriate geometry has to be given such as cross sections, profile e.g. for borehole pathways or surfaces on which the model results and further derived values are interpolated. This includes the three field variables temperature, pore pressure and the displacement vector. To facilitate and automate these steps the add-on GeoStress for the professional visualization software Tecplot 360 EX has been programmed. Besides the aforementioned values derived from the stress tensor the tool also allows to calculate the values of Coulomb Failure Stress (CFS), Slip and Dilation tendency (ST and DT) and Fracture Potential (FP). GeoStress also estimates kinematic variables such as horizontal slip, dip slip, rake vector of faults that are implemented as contact surfaces in the geomechanical-numerical model as well as the true vertical depth. Furthermore, the add-on can export surfaces and polylines and map on these all available stress values. The technical report describes the technical details of the visualization tool, its usage and exemplifies its application using the results of a 3D example of a geomechanical-numerical model of the stress field. The numerical solution is achieved with the finite element software Abaqus version 2019. It also presents a number of special features of Tecplot 360 EX in combination with GeoStress that allow a professional and efficient analysis. Other Version History - Changes with respect to GeoStress v1.0 Even though the general functions and the graphical user interfaces of GeoStress have not changed at all the technical changes in the background are significant. The three main changes of the new version 2.0 are: 1. Comprehensive re-organization of the GeoStress interpolation scheme for external surfaces and polylines. In GeoStress v1.0 all stress variables are derived from the 3D stress tensor components and then were interpolated on external surfaces and polylines. However, when these variables are bi-polar data, such as the SHmax orientation, the interpolation could have produced wrong results when the orientation was 179°N on one side of the surface and 1°N on the other side. The mean would have been 90°N which is obviously not correct. In GeoStress v2.0 all stress values on external surfaces and polylines are newly derived from the six independent components of the stress tensor. The only performed interpolation is that of the six independent components of the 3D stress tensor on the respective feature. 2. Version 2.0 of the Add-on GeoStress is compatible with the Tecplot 360 EX 2019 R1 version which was released in October 2019. This version can load *.odb files from the Abaqus version 2019. Furthermore, the Tecplot 360 EX 2019 R1 version is significantly faster in loading and processing model results. Furthermore, we now also provide, besides the 64-bit Windows version, a Linux-Version of the Add-on. 3. An additional library to use the functionalities of GeoStress together with Tecplot Macros or PyTecplot. This is of particular interest when large numbers of models have to be analysed automatically without starting the graphical user interface of GeoStress. We also fixed a few minor bugs in the GeoStress v1.0 manual and polished a few issues on the user interface of GeoStress. Furthermore, we extended the manual with brief descriptions and examples how to use the library GeoStressCmd.dll for Windows with PyTecplot. We also provide with libGeoStressCmd.so a version for Linux operating systems. Heidbach, Oliver Heidbach, Oliver Software Software GNU General Public License, Version 3, 29 June 2007, Copyright © 2020 World Stress Map Team, Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum GFZ https://www.gnu.org/licenses/gpl-3.0.en.html

oai:doidb.wdc-terra.org:67452021-01-29T09:25:50ZDOIDBDOIDB.WSM

Python Script HIPSTER Ziegler, Moritz O. GFZ Data Services 2019 http://dx.doi.org/10.5880/wsm.2019.003 doi:10.5880/wsm.2019.003 doi:10.5880/wsm.2019.001 doi:10.2312/wsm.2019.003 url:http://github.com/MorZieg/hipster geomechanical-numerical model stress in-situ stress modelling tool finite-elemeent model inhomogeneities World Stress Map EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS Abstract In geosciences 3D geomechanical-numerical models are used to estimate the in-situ stress state. In such a model each geological unit is populated with the rock properties Young’s module, Poisson ratio, and density. Usually, each unit is assigned a single set of homogeneous properties. However, variable rock properties are observed and expected within the same geological unit. Even in small volumes large variabilities may. The Python script HIPSTER (Homogeneous to Inhomogeneous rock Properties for Stress TEnsor Research) provides an algorithm to include inhomogeneities in geomechanical-numerical models that use the solver Abaqus®. The user specifies the mean values for the rock properties Young's module, Poisson ratio and density, and their variability for each geological unit. The variability of the material properties is individually defined for each of the three rock properties in each geological layer. For each unit HIPSTER generates a normal or uniform distribution for each rock property. From these distri-butions for each single element HIPSTER draws individual rock properties and writes them to a separate material file. This file defines different material properties for each element. The file is included in the geomechanical-numerical analysis solver deck and the numerical model is solved as usual.HIPSTER is fully documented in the associated data report (Ziegler, 2019, http://doi.org/10.2312/WSM.2019.003) and can also be accessed at Github (http://github.com/MorZieg/hipster) en Software 4 Files application/octet-stream application/octet-stream application/octet-stream application/octet-stream GNU General Public License, Version 3, 29 June 2007 Copyright © 2019 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany https://www.gnu.org/licenses/gpl-3.0.html

oai:doidb.wdc-terra.org:70322021-02-04T16:51:18ZDOIDBDOIDB.WSM

Python Script HIPSTER Ziegler, Moritz O. GFZ Data Services 2021 http://dx.doi.org/10.5880/wsm.2021.001 doi:10.5880/wsm.2021.001 doi:10.5880/wsm.2020.002 doi:10.5880/wsm.2019.003 doi:10.5880/wsm.2018.003 url:http://github.com/MorZieg/hipster doi:10.48440/wsm.2021.001 geomechanical-numerical model stress in-situ stress modelling tool finite-elemeent model inhomogeneities EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Abstract In geosciences 3D geomechanical-numerical models are used to estimate the in-situ stress state. In such a model each geological unit is populated with the rock properties Young’s module, Poisson ratio, and density. Usually, each unit is assigned a single set of homogene-ous properties. However, variable rock properties are observed and expected within the same geological unit. Even within small volumes large variabilities may occur. The Python script HIPSTER (Homogeneous to Inhomogeneous rock Properties for Stress TEnsor Research) provides an algorithm to include inhomogeneities in geomechanical-numerical models that use the solver Abaqus® or the MOOSE Framework. The user specifies the mean values for the rock properties Young's module, Poisson ratio and density, and their variability for each geological unit. The variability of the material properties is indi-vidually defined for each of the three rock properties in each geological layer. For each unit or unit subset HIPSTER generates a normal or uniform distribution for each rock property. From these distributions for each single element or subset of elements HIPSTER draws indi-vidual rock properties and writes them to a separate material file. This file defines differ-ent material properties for each element. The file is included in the geomechanical-numerical analysis solver deck and the numerical model is solved as usual. HIPSTER is fully documented in the associated data report (Ziegler, 2021, https://doi.org/10.48440/wsm.2021.001) and can also be accessed at Github (http://github.com/MorZieg/hipster). Other 28 January 2021: Release of Version 1.3 Changelog v1.3 The following changes have been implemented compared to Version 1.01: • Due to the end of the support for Python 2.x HIPSTER has been updated to run with Python 3.x. • In addition to the assignment of material properties to individual elements, HIPSTER is now able to assign material properties to element sets as well. • The range of output files has been extended to include the syntax of the MOOSE Framework. • Several minor improvements in functionality and readability have been included: − The main function has been cleaned and code was outsourced. − A sanity check for the provided input is included. − Several functions were cleaned and made more comprehensive. − Additional comments have been included. Ziegler, Moritz O. Ziegler, Moritz O. Ziegler, Moritz O. Software Software GNU General Public License, Version 3, 29 June 2007 Copyright © 2021 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany https://www.gnu.org/licenses/gpl-3.0.html

oai:doidb.wdc-terra.org:65552021-03-12T15:28:47ZDOIDBDOIDB.WSM

Matlab Script FAST Calibration v1.0 Ziegler, Moritz O. GFZ Data Services 2018 Created: 2018-09 http://dx.doi.org/10.5880/wsm.2018.003 doi:10.5880/wsm.2018.003 doi:10.2312/wsm.2018.003 doi:10.1016/j.tecto.2009.07.023 doi:10.5880/WSM.2016.001 doi:10.5194/se-6-533-2015 doi:10.5880/WSM.2017.001 url:https://www.tecplot.com/products/tecplot-360/ doi:10.5194/se-7-1365-2016 geomechanical-numerical model stress in-situ stress model calibration stress tensor calibration modelling tool World Stress Map Abstract The 3D geomechanical-numerical modelling of the in-situ stress state requires observed stress information at reference locations within the model area to be compared to the modelled stress state. This comparison of stress states and the ensuing adaptation of the displacement boundary conditions provide a best fit stress state in the entire model region that is based on the available stress information. This process is also referred to as calibration. Depending on the amount of available information and the complexity of the model the calibration is a lengthy process of trial-and-error modelling and analysis.The Fast Automatic Stress Tensor Calibration (FAST Calibration) is a method and a Matlab script that facilitates and speeds up the calibration process that has been developed in the framework of the World Stress Map (WSM, Heidbach et al., 2010; 2016). The method requires only three model scenarios with different boundary conditions. The modelled stress states at the locations of the observed stress state are extracted. Then they are used to compute the displacement boundary conditions that are required in order to achieve the best fit of the modelled to the observed stress state. Furthermore, the influence of the individual observed stress information on the resulting stress state can be weighted.The FAST-Calibration (Fast Automatic Stress Tensor Calibration) is a Matlab tool that controls the statistical calibration of a 3D geomechanical-numerical model of the stress state following the approach described by Reiter and Heidbach (2014), Hergert et al. (2015), and Ziegler et al. (2016). It is mainly designed to support the multi-stage modelling procedure presented by Ziegler et al. (2016). However, it can also be used for the calibration of a single-stage model. The tools run in Matlab 2017a and higher and are meant to work with the visualization software Tecplot 360 EX 2015 R2 and higher (https://www.tecplot.com/products/tecplot-360/) in conjunction with the Tecplot 360 Add-on GeoStress (Stromeyer and Heidbach, 2017). The user should be familiar with 3D geomechanical-numerical modelling, Matlab, Tecplot 360 EX, including a basic knowledge of Tecplot 360 EX macro functions, and the Tecplot 360 EX Add-on GeoStress. This FAST Calibration manual provides an overview of the scripts and is designed to help the user to adapt the scripts for their own needs. en Software 3294516 Bytes 4 Files application/octet-stream application/octet-stream application/octet-stream application/x-zip-compressed GNU General Public License, Version 3, 29 June 2007, Copyright Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences https://www.gnu.org/licenses/gpl-3.0.html

oai:doidb.wdc-terra.org:69672021-04-19T09:21:06ZDOIDBDOIDB.WSM

Python Script Apple PY Ziegler, Moritz O. Ziebarth, Malte Reiter, Karsten GFZ German Research Center for Geosciences 2020 http://dx.doi.org/10.5880/wsm.2020.002 doi:10.5880/wsm.2020.002 doi:10.5880/wsm.2019.001 url:ftp://datapub.gfz-potsdam.de/download/10.5880.WSM.2020.002cjenv/WSM-TR-20-02_APPLE-PY.pdf doi:10.5880/wsm.2018.003 url:https://www.world-stress-map.org/ geomechanical-numerical model stress in-situ stress modelling tool finite-elemeent model EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Abstract In geosciences the discretization of complex 3D model volumes into finite elements can be a time-consuming task and often needs experience with a professional software. In particular, low angle outcropping or out-pinching geological units, i.e. geological layers that are represented in the model volume, pose serious challenges. Another example are changes in the geometry of a model, which can occur at one point of a project, when re-meshing is not an option anymore or would involve a significant amount of additional time to invest. In order to speed up and automate the process of discretization, Apple PY (Automatic Portioning Preventing Lengthy manual Element assignment for PYthon) separates the process of mesh-generation and unit assignment. It requires an existing mesh together with separate information on the depths of the interfaces between geological units (herein called horizons). These two pieces of information are combined and used to assign the individual elements to different units. The uniform mesh is created with a standard meshing software and has to be available as an Abaqus input file. The information on the horizons depths and lateral variations in the depths is provided in a text file. Apple PY compares the element location and depth with that of the horizons in order to assign each element to a corresponding geological unit below or above a certain horizon. Other Version HIstory This ia a major release of APPLE PY, including a new version of the manual. Previous versions are accessible via https://doi.org/10.5880/wsm.2019.003 (Ziegler et al., 2019). Changes to version 1.02 (5 December 2020): - Apple PY v1.3 supports multiple files with horizon depths that may even have a different lateral spacing between the grid points. - Instead of absolute horizon depths, a mean value and a standard deviation can be provided together with a type of distribution from which Apple PY estimates the horizon depth. - Due to the end of the support for Python 2.x Apple PY has been updated to run with Python 3.x. - Various small changes have been implemented in order to make the script more robust. The reading of the code has been facilitated by using more functions and additional comments. Ziegler, Moritz O. Ziegler, Moritz O. Ziebarth, Malte Reiter, Karsten Ziegler, Moritz O. Software Software GNU General Public License, Version 3, 29 June 2007 Copyright © 2020 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany https://www.gnu.org/licenses/gpl-3.0.en.html

oai:doidb.wdc-terra.org:70812021-10-30T11:06:34ZDOIDBDOIDB.WSM

Python Script PyFAST Calibration v.1.0 Ziegler, Moritz O. Heidbach, Oliver GFZ Data Services 2021 http://dx.doi.org/10.5880/wsm.2021.003 doi:10.5880/wsm.2021.003 doi:10.48440/wsm.2021.003 doi:10.5880/wsm.2021.002 doi:10.5880/wsm.2016.001 doi:10.1186/s40517-020-00178-5 doi:10.5880/wsm.2020.001 url:https://www.tecplot.com/products/tecplot-360/ doi:10.5194/se-7-1365-2016 url:https://github.com/MorZieg/PyFAST_Calibration url:https://mooseframework.inl.gov/ geomechanical-numerical model stress in-situ stress model calibration stress tensor calibration modelling tool EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Abstract The 3D geomechanical-numerical modelling of the in-situ stress state aims at a continuous description of the stress state in a subsurface volume. It requires observed stress information within the model volume that are used as a reference. Once the modelled stress state is in agreement with the observed reference stress data the model is assumed to provide the continuous stress state in its entire volume. The modelled stress state is fitted to the reference stress data records by adaptation of the displacement boundary conditions. This process is herein referred to as calibration. Depending on the amount of available stress data records and the complexity of the model the manual calibration is a lengthy process of trial-and-error modelling and analysis until best-fit boundary conditions are found. The Fast Automatic Stress Tensor Calibration (FAST Calibration) is a Python function that facilitates and speeds up this calibration process. By using a linear regression it requires only three model scenarios with different boundary conditions. The stress states from the three model scenarios at the locations of the reference stress data records are extracted. The differences between the modelled and observed stress states are used for a linear regression that allows to compute the displacement boundary conditions required for the best-fit modelled stress state. If more than one reference stress state is provided, the influence of the individual observed stress data records on the best-fit boundary conditions can be weighted. Other GNU General Public License, Version 3, 29 June 2007 Copyright © 2021 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany PyFAST Calibration is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PyFAST Calibration is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/. Ziegler, Moritz O. Ziegler, Moritz O. Ziegler, Moritz O. Software Software GNU General Public License Version 3 (29 June 2007); Copyright (C) 2021 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany https://www.gnu.org/licenses/gpl-3.0.html

oai:doidb.wdc-terra.org:72822022-01-12T11:07:22ZDOIDBDOIDB.WSM

Stress Map of Taiwan 2022 Heidbach, Oliver Liang, Wen-Tzong Morawietz, Sophia von Specht, Sebastian Ma, Kuo-Fong GFZ German Research Center for Geosciences 2022 Created: 2022-01-01 http://dx.doi.org/10.5880/WSM.Taiwan2022 doi:10.5880/WSM.Taiwan2022 doi:10.2312/WSM.2016.001 doi:10.1016/j.tecto.2018.07.007 url:http://www.world-stress-map.org doi:10.5880/WSM.2019.002 doi:10.1029/2019GC008515 url:https://tec.earth.sinica.edu.tw Abstract Stress maps show 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 stress maps 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. 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. The stress map of Taiwan 2022 is based on the WSM database release 2016. However, all data records have been checked and we added a large number of new data from earthquake focal mechanisms from the national earthquake catalog and from publications. The total number of data records has increased from n=401 in the WSM 2016 to n=6,498 (4,234 with A-C quality) in the stress map of Taiwan 2022 The update with earthquake focal mechanims is even larger since another 1313 earthquake focal mechanism data records beyond the scale of this map have been added to the WSM database. The digital version of the stress map is a layered pdf file generated with GMT (Wessel et al., 2019). It also provide estimates of the mean SHmax orientation on a regular 0.1° grid using the tool stress2grid (Ziegler and Heidbach, 2019). Two mean SHmax orientations are estimated with search radii of r=25 and 50 km, respectively, and with weights according to distance and data quality. The stress map and data are available on the landing page at https://doi.org/10.5880/WSM.Taiwan2022 where further information is provided. The earthquake focal mechanism that are used for this stress map are provided by the Taiwan Earthquake Research Center (TEC) available at the TEC Data Center (https://tec.earth.sinica.edu.tw). Other 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. Heidbach, Oliver Liang, Wen-Tzong Morawietz, Sophia von Specht, Sebastian Ma, Kuo-Fong Heidbach, Oliver Other Other CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ 119 123 21.5 25.5

oai:doidb.wdc-terra.org:73282022-03-10T13:37:32ZDOIDBDOIDB.WSM

Stress Map of Great Britain and Ireland 2022 Kingdon, Andrew Williams, John Fellgett, Mark Rettelbach, Naomi Heidbach, Oliver GFZ German Research Center for Geosciences 2022 Created: 2022-02-08 http://dx.doi.org/10.5880/WSM.GreatBritainIreland2022 doi:10.5880/WSM.GreatBritainIreland2022 doi:10.2312/wsm.2016.001 doi:10.1016/j.tecto.2018.07.007 url:http://www.world-stress-map.org doi:10.3389/feart.2019.00163 doi:10.1016/j.marpetgeo.2016.02.012 doi:10.1016/j.marpetgeo.2015.06.008 doi:10.5880/wsm.2019.002 doi:10.5880/wsm.2016.001 crustal stress in situ stress tectonic stress crustal stress pattern geophysics tectonics EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Abstract Stress maps show 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 stress maps 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. 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. The stress map of Great Britain and Ireland 2022 is based on the WSM database release 2016. All data records have been checked and we added a number of new data from earthquake focal mechanisms from the national earthquake catalog and borehole data. The number of data records has increased from n=377 in the WSM 2016 to n=474 in this map. Some locations and assigned quality of WSM 2016 data were corrected due to new information. The digital version of the map is a layered pdf generated with GMT (Wessel et al., 2019) using the topography of Tozer et al. (2019). We also provide on a regular 0.1° grid values of the mean SHmax orientation which have a standard deviation < 25°. The mean SHmax orientation is estimated using the tool stress2grid of Ziegler and Heidbach (2019). For this estimation we used only data records with A-C quality and applied weights according to data quality and distance to the grid points. The stress map is available at the landing page of the GFZ Data Services at http://doi.org/10.5880/WSM.GreatBritainIreland2022 where further information is provided. Other 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. Kingdon, Andrew Williams, John Fellgett, Mark Rettelbach, Naomi Heidbach, Oliver Heidbach, Oliver Dataset Dataset CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ Coverage of the Stress Map of Great Britain and Ireland 2022 -11.5 4.5 49.5 59.5

oai:doidb.wdc-terra.org:62402022-07-08T10:43:08ZDOIDBDOIDB.WSM

Stress Map Iceland 2016 Ziegler, Moritz Rajabi, Mojtaba Hersir, Gylfi Ágústsson, Kristján Árnadóttir, Sigurveig Zang, Arno Bruhn, David Heidbach, Oliver GFZ Data Services 2016 Created: 2016-11-28 http://dx.doi.org/10.5880/WSM.Iceland2016 doi:10.5880/WSM.Iceland2016 doi:10.1016/j.tecto.2016.02.008 doi:10.1029/2007tc002133 doi:10.1016/j.tecto.2009.07.023 doi:10.1144/gsl.sp.2003.212.01.07 doi:10.5880/WSM.2016.001 url:http://www.world-stress-map.org crustal stress in situ stress tectonic stress crustal stress pattern mid ocean ridge Abstract 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. Other 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. eng Dataset Dataset 11932019 Bytes 1 Files application/pdf CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ 62 -26 68 -11 Stress Map Iceland

oai:doidb.wdc-terra.org:62372022-07-08T10:45:09ZDOIDBDOIDB.WSM

Stress Map of the Mediterranean and Central Europe 2016 Heidbach, Oliver Custodio, Susana Kingdon, Andrew Mariucci, Maria Theresa Montone, Paola Müller, Birgit Pierdominici, Simona Rajabi, Mojtaba Reinecker, John Reiter, Karsten Tingay, Mark Williams, John Ziegler, Moritz GFZ Data Services 2016 Created: 2016-08-01 http://dx.doi.org/10.5880/WSM.Europe2016 doi:10.5880/WSM.Europe2016 url:http://www.world-stress-map.org doi:10.1029/2007TC002133 doi:10.1016/j.tecto.2009.07.023 doi:10.1144/GSL.SP.2003.212.01.07 doi:10.1029/92JB00132 doi:10.5880/WSM.2016.001 crustal stress in situ stress tectonic stress crustal stress pattern tectonics geophysics EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > LITHOSPHERIC PLATE MOTION > PLATE MOTION DIRECTION EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING > DATA SEARCH AND RETRIEVAL Abstract The Stress Map of the Mediterranean and Central Europe 2016 displays 5011 A-C quality stress data records of the upper 40 km of the Earth’s crust from the WSM database release 2016 (Heidbach et al, 2016, http://doi.org/10.5880/WSM.2016.001). Focal mechanism solutions determined as being potentially unreliable (labelled as Possible Plate Boundary Events in the database) are not displayed. Further detailed information on the WSM quality ranking scheme, guidelines for the various stress indicators, and software for stress map generation and the stress pattern analysis is available at www.world-stress-map.org. Other 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. GFZ German Research Centre for Geosciences de Dataset 13765676 Bytes 1 Files application/pdf CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ -15 45 30 58

oai:doidb.wdc-terra.org:77012023-02-24T07:38:53ZDOIDBDOIDB.WSM

Python Script FAST Estimation v.1.0 Ziegler, Moritz O. GFZ Data Services 2023 http://dx.doi.org/10.5880/wsm.2023.001 doi:10.5880/wsm.2023.001 doi:10.48440/wsm.2023.001 doi:10.5880/wsm.2021.003 url:https://github.com/MorZieg/FAST_Estimation url:https://mooseframework.inl.gov/ url:https://www.tecplot.com/products/tecplot-360/ doi:10.2312/wsm.2020.001 doi:10.5194/se-6-533-2015 doi:10.1186/s40517-020-00178-5 doi:10.5194/se-5-1123-2014 doi:10.5880/wsm.2020.001 doi:10.48440/wsm.2021.001 doi:10.1007/s00603-022-02879-8 doi:10.1186/s40517-020-00162-z doi:10.48440/wsm.2021.002 doi:10.48440/wsm.2021.003 doi:10.1029/2022JB024855 doi:10.5194/se-7-1365-2016 geomechanical-numerical model stress in-situ stress model calibration stress tensor calibration modelling tool model quality assessment EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Abstract The classical way to model the stress state in a rock volume is to estimate displacement boundary conditions that minimize the deviation of the modelled stress state with respect to model-independent stress information such as stress magnitude data. However, these data records are usually subject to significant uncertainties and measurement errors. Hence, it has to be expected that not all stress magnitude data records are representative and can be used in a model. In order to identify unreliable stress data records, the stress state that is based on individual data records is solved and compared with observations at a few discrete locations. While this method works, it is not efficient in that most of the solved model scenarios will be discarded. The solving of the entire model consumes immense amount of computation time for a high-resolution model. Yet, the stress state is required at only a very limited number of locations. For linear geomechanical models it is sufficient to estimate the stress state from three model scenarios with arbitrary, but different displacement boundary conditions. These three results can be used to estimate analytically using a linear regression at discrete points stress states based on user-defined boundary conditions. The tool Fast Automatic Stress Tensor Estimation (FAST Estimation) is a Python function that automatizes this approach. FAST Estimation provides very efficiently the stress states at pre-defined locations for all possible boundary conditions. It does not provide the continuous stress field as provided by a solved geomechanical model. Instead, it is a cost-efficient solution for the rapid assessment of stress states at a limited number of discrete locations based on pre-defined boundary conditions. Other Copyright © 2023 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany FAST Estimation is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. FAST Estimation is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/. Ziegler, Moritz O. Ziegler, Moritz O. Software Software GNU General Public License Version 3 (29 June 2007); Copyright (C) 2023 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany https://www.gnu.org/licenses/gpl-3.0.html

oai:doidb.wdc-terra.org:62162023-10-19T13:20:28ZDOIDBDOIDB.WSM

Spannungskarte Deutschland 2016 Reiter, Karsten Heidbach, Oliver Müller, Birgit Reinecker, John Röckel, Thomas GFZ Data Services 2016 Created: 2016-07-01 http://dx.doi.org/10.5880/WSM.Germany2016 doi:10.5880/WSM.Germany2016 url:http://www.world-stress-map.org url:http://gfzpublic.gfz-potsdam.de/pubman/faces/viewItemOverviewPage.jsp?itemId=escidoc:1361435 doi:10.1016/j.tecto.2009.07.023 doi:10.1144/gsl.sp.2003.212.01.07 doi:10.5880/WSM.2016.001 doi:10.5880/WSM.Germany2016_en crustal stress in situ stress tectonic stress crustal stress pattern World Stress Map Abstract Die Spannungskarte Deutschland zeigt die Orientierung der gegenwärtigen maximalen horizontalen Spannung (SHmax) in der Erdkruste. Unter der Annahme, dass die vertikale Spannung (SV) eine Hauptspannung ist, legt SHmax die Orientierung des 3D Spannungstensors festgelegt; die minimale horizontale Spannung Shmin ist entsprechend senkrecht zu SHmax. In der Spannungskarte sind die SHmax Orientierungen als Linien unterschiedlicher Länge dargestellt. Die Länge der Linie ist dabei ein Maß für die Datenqualität und das Symbol zeigt die Methode und die Farbe das Spannungsregime an. Daten mit E-Qualität sind ohne weitere Information als Punkte in der Karte dargestellt. Die Spannungsdaten sind frei zugänglich und Bestandteil des World Stress Map (WSM) Projektes. Weitere Informationen zu den Daten und Kriterien der Datenanalyse und Qualitätszuordnung befinden sich auf der WSM Internetseite unter http://www.world-stress-map.org. The English version of the World Stress Map Germany is available via http://doi.org/10.5880/WSM.Germany2016_en. Reiter, Karsten Reiter, Karsten Heidbach, Oliver Müller, Birgit Reinecker, John Röckel, Thomas GFZ German Research Centre of Geosciences de Dataset 9902687 Bytes 1 Files application/pdf CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ 46.000 5.000 56.000 16.000 Germany

oai:doidb.wdc-terra.org:70532023-12-04T17:03:11ZDOIDBDOIDB.WSM

Matlab Script FAST Calibration v.2.0 Ziegler, Moritz O. Heidbach, Oliver GFZ German Research Center for Geosciences 2021 http://dx.doi.org/10.5880/wsm.2021.002 doi:10.5880/wsm.2021.002 doi:10.48440/wsm.2021.002 doi:10.5880/wsm.2018.003 doi:10.5880/wsm.2016.001 doi:10.1186/s40517-020-00178-5 doi:10.5880/wsm.2020.001 url:https://www.tecplot.com/products/tecplot-360/ doi:10.5194/se-7-1365-2016 url:https://github.com/MorZieg/FAST_Calibration geomechanical-numerical model stress in-situ stress model calibration stress tensor calibration modelling tool EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Abstract The 3D geomechanical-numerical modelling aims at a continuous description of the stress state in a subsurface volume. The model is fitted to the model-independent stress data records by adaptation of the displacement boundary conditions. This process is herein referred to as model calibration. Depending on the amount of available stress data records and the complexity of the model the calibration can be a lengthy process of trial-and-error to estimate the best-fit boundary conditions. The tool FAST Calibration (Fast Automatic Stress Tensor Calibration) is a Matlab script that facilitates and speeds up this calibration process. By using a linear regression it requires only three test model scenarios with different displacement boundary conditions to calibrate a geomechanical-numerical model on available stress data records. The differences between the modelled and observed stresses are used for the linear regression that allows to compute the displacement boundary conditions required for the best-fit estimation. The influence of observed stress data records on the best-fit displacement boundary conditions can be weighted. Furthermore, FAST Calibration provides a cross checking of the best-fit estimate against indirect stress information that cannot be used for the calibration process, such as the observation of borehole breakouts or drilling induced fractures. Other GNU General Public License, Version 3, 29 June 2007 Copyright © 2021 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany FAST Calibration is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. FAST Calibration is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/. Ziegler, Moritz O. Ziegler, Moritz O. Software Software GNU General Public License Version 3 (29 June 2007); Copyright (C) 2021 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany https://www.gnu.org/licenses/gpl-3.0.html

oai:doidb.wdc-terra.org:78302023-12-04T20:27:07ZDOIDBDOIDB.WSM

Matlab Script FAST Calibration v 2.4 Ziegler, Moritz O. Heidbach, Oliver Morawietz, Sophia Wang, Yusen GFZ German Research Center for Geosciences 2023 http://dx.doi.org/10.5880/wsm.2023.002 doi:10.5880/wsm.2023.002 doi:10.48440/wsm.2023.002 doi:10.5880/wsm.2021.002 doi:10.5880/wsm.2020.001 doi:10.5194/se-7-1365-2016 url:https://www.tecplot.com/products/tecplot-360/ doi:10.5880/WSM.2016.001 url:https://github.com/MorZieg/FAST_Calibration doi:10.1186/s40517-020-00178-5 doi:10.5880/wsm.2023.002 geomechanical-numerical model stress in-situ stress model calibration stress tensor calibration modelling tool EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Abstract The 3D geomechanical-numerical modelling aims at a continuous description of the stress state in a subsurface volume. The model is fitted to the model-independent stress data records by adaptation of the displacement boundary conditions. This process is herein referred to as model calibration. Depending on the amount of available stress data records and the complexity of the model the calibration can be a lengthy process of trial-and-error to estimate the best-fit boundary conditions. The tool FAST Calibration (Fast Automatic Stress Tensor Calibration) is a Matlab script that facilitates and speeds up this calibration process. By using a linear regression it requires only three test model scenarios with different displacement boundary conditions to calibrate a geomechanical-numerical model on available stress data records. The differences between the modelled and observed stresses are used for the linear regression that allows to compute the displacement boundary conditions required for the best-fit estimation. The influence of observed stress data records on the best-fit displacement boundary conditions can be weighted. Furthermore, FAST Calibration provides a cross checking of the best-fit estimate against indirect stress information that cannot be used for the calibration process, such as the observation of borehole breakouts or drilling induced fractures. In order to bridge the scale gap between a regional stress model and a local reservoir model, the multistage calibration procedure is applied where a local model is calibrated solely on the stress state provided by a regional model. FAST Calibration provides the necessary tools and guidelines. Ziegler, Moritz O. Ziegler, Moritz O. Software Software CC Attribution 4.0 (CC BY SA 4.0)

oai:doidb.wdc-terra.org:80012024-10-17T10:46:55ZDOIDBDOIDB.WSM

Stress Map of India 2024 Velagala, Lalit Sai Aditya Reddy Mishra, Premanand Sen, Souvik Ganguli, Shib Sankar Heidbach, Oliver Ziegler, Moritz Bora, Ajoy Krishna Dash, Sabyasachi Kalpande, Vikrant Karthikeyan, G. Konar, Shubodip Kuila, Utpalendu Kundan, Ashani Mukhopadhyay, Dilip Kumar GFZ German Research Center for Geosciences 2024 Created: 2024-10-10 http://dx.doi.org/10.5880/WSM.India2024 doi:10.5880/WSM.India2024 doi:10.2312/wsm.2016.001 doi:10.1016/j.tecto.2018.07.007 url:http://www.world-stress-map.org doi:10.5880/WSM.2019.002 doi:10.1029/2019GC008515 Abstract Knowledge of the present-day crustal stress field is a key for the understanding of geodynamic processes such as global plate tectonics and earthquakes. It is also essential for the management of geo-reservoirs and underground storage sites. Since 1986, the World Stress Map (WSM) project has systematically compiled the orientation of maximum horizontal stress (SHmax). It is a collaborative project between academia and industry that aims to characterize the stress pattern and to understand the stress sources and it is maintained at the German Research Centre for Geosciences GFZ. All stress information is analysed and compiled in a standardized format and quality-ranked for reliability and global comparability. Further information on the WSM project are provided at http://www.world-stress-map.org. The displayed data is a new compilation and all data records have been checked. The total number of data records increased from 1406 in the WSM 2016 to 2388 in this release. The digital version of the stress map is a layered pdf where also the mean SHmax orientation on a 1° grid is provided. It is estimated with the script stress2grid (Ziegler and Heidbach, 2019) using search radii of 100 und 200 km, respectively. The mean SHmax orientation is only estimated when n > 5 data records are located within the search radius. Other 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. Heidbach, Oliver Dataset Dataset CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ Stress Map India 2024 66 98 4 36

oai:doidb.wdc-terra.org:62282025-02-26T16:42:43ZDOIDBDOIDB.WSM

Stress Map Germany 2016 Reiter, Karsten Heidbach, Oliver Müller, Birgit Reinecker, John Röckel, Thomas GFZ Data Services 2016 Created: 2016-11-03 http://dx.doi.org/10.5880/WSM.Germany2016_en doi:10.5880/WSM.Germany2016_en url:http://www.world-stress-map.org url:http://gfzpublic.gfz-potsdam.de/pubman/faces/viewItemOverviewPage.jsp?itemId=escidoc:1361435 doi:10.1016/j.tecto.2009.07.023 doi:10.1144/gsl.sp.2003.212.01.07 doi:10.5880/WSM.2016.001 doi:10.5880/WSM.Germany2016 crustal stress in situ stress tectonic stress crustal stress pattern World Stress Map Abstract The stress map of Germany 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.The German version of the World Stress Map Germany is available via http://doi.org/10.5880/WSM.Germany2016. Other 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. Reiter, Karsten Reiter, Karsten Heidbach, Oliver Müller, Birgit Reinecker, John Röckel, Thomas GFZ German Research Centre of Geosciences en Dataset 9901520 Bytes 1 Files application/pdf CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ 46.000 5.000 56.000 16.000 Germany

oai:doidb.wdc-terra.org:62182025-03-13T13:25:42ZDOIDBDOIDB.WSM

World Stress Map Database Release 2016 Heidbach, Oliver Rajabi, Mojtaba Reiter, Karsten Ziegler, Moritz WSM Team GFZ Data Services 2016 Created: 2016-08-01 http://dx.doi.org/10.5880/WSM.2016.001 doi:10.5880/WSM.2016.001 url:http://www.world-stress-map.org doi:10.2312/wsm.2016.001 doi:10.1029/92JB00132 doi:10.1029/2007TC002133 doi:10.1016/j.tecto.2009.07.023 doi:10.1144/GSL.SP.2003.212.01.07 doi:10.5880/WSM.2016.002 doi:10.5880/WSM.EUROPE2016 doi:10.5880/WSM.Germany2016 doi:10.5880/WSM.GERMANY2016_EN doi:10.5880/WSM.ICELAND2016 doi:10.5880/wsm.2019.002 doi:10.1594/GFZ.WSM.Rel2008 crustal stress in situ stress tectonic stress crustal stress pattern tectonics geophysics EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > LITHOSPHERIC PLATE MOTION > PLATE MOTION DIRECTION EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING > DATA SEARCH AND RETRIEVAL Abstract The World Stress Map (WSM) database 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.The WSM database release 2016 contains 42,870 data records within the upper 40 km of the Earth’s crust. The data are provided in three formats: Excel-file (wsm2016.xlsx), comma separated fields (wsm2016.csv) and with a zipped google Earth input file (wsm2016_google.zip). Data records with reliable A-C quality are displayed in the World Stress Map (doi:10.5880/WSM.2016.002). Further detailed information on the WSM quality ranking scheme, guidelines for the various stress indicators, and software for stress map generation and the stress pattern analysis is available at www.world-stress-map.org.VERSION HISTORY:Version 1.1. (15 June 2019): updated version of the zip-compressed Google Earth .kml (wsm2016_google.zip) with a new URL of the server. Heidbach, Oliver Rajabi, Mojtaba Reiter, Karsten Ziegler, Moritz WSM Team Adams, J. Ágústsson, K. Alt, R. Al-Zoubi, A.S. Andreoli, M. Árnadóttir, S. Ask, D. Ask, M. Assumpcao, M. Babyyev, G. Balfour, N. Baptie, B. Barr, M. Barth, A. Batchelor, T. Becker, A. Bell, S. Bergerat, F. Bergman, E. Bluemling, P. Bohnhoff, M. Bonjer, K.-P. Bosworth, W. Bratli, R. Brereton, R. Brudy, M. Bungum, H. Chatterjee, R. Colmenares, L. Connolly, P. Cornet, F. Custodio, S. Deichmann, N. Delvaux, D. Denham, D. Ding, J. Doeveny, P. Enever, J. Feijerskov, M. Finkbeiner, T. Fleckenstein, P. Fuchs, K. Furen, X. Gay, N. Gerner, P. Gough, D.I. Gowd, T.N. Grasso, M. Gregersen, S. Grünthal, G. Gupta, H. Guzman, C. Gvishiani, A. Haimson, B. Hanssen, T.H. Hauk, C. Hergert, T. Hersir, G.P. Hickman, S. Hillis, R. Horvath, F. Hu, X. Jacob, K. Jarosinski, M. Jianmin, D. Jurado, M.J. King, R. Kingdon, A. Kjorholt, H. Klein, R. Knoll, P. Kropotkin, P. Kurfeß, D. Larsen, R. Lindholm, C. Logue, A. López, A. Lund, B. Lund-Snee, J. Magee, M. Mariucci, M.T. Marschall, I. Mastin, M. Maury, V. Mercier, J. Mildren, S. Montone, P. Mularz-Pussak, M. Müller, B. Negut, M. Oncescu, M.C. Paquin, C. Pavoni, N. Pierdominici, S. Pondrelli, A. Ragg, S. Rajendran, K. Reinecker, J. Reynolds, S. Röckl, T. Roth, F. Rummel, F. Schmitt, D. Schoenball, M. Sebrier, M. Sherman, S. Sperner, B. Stephansson, O. Stromeyer, D. Suarez, G. Suter, M. Tingay, M. Tolppanen, P. Townend, J. Tsereteli, N. Udias, A. van Dalfsen, W. van Eijs, R. Van-Kin, L. Wenzel, F. Williams, J. Wiprut, D. Wolter, K. Xu, Z.H. Yunga, S. Zhonghuai, X. Zhizhin, M. Zoback, M. Zoback, M.-L. GFZ German Research Centre for Geosciences de Dataset 30159213 Bytes 4 Files application/pdf application/x-zip-compressed application/vnd.openxmlformats-officedocument.spreadsheetml.sheet text/csv CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ -180.0000 180.0000 -90.0000 90.0000 Global

oai:doidb.wdc-terra.org:81362025-04-27T09:49:38ZDOIDBDOIDB.WSM

Python Script DOuGLAS v1.0 Laruelle, Louison Ziegler, Moritz O. GFZ Data Services 2025 http://dx.doi.org/10.5880/wsm.2023.003 doi:10.5880/wsm.2023.003 doi:10.48440/wsm.2025.003 doi:10.5880/WSM.2025.001 doi:10.1177/1094428112470848 doi:10.1016/j.petrol.2006.01.003 doi:10.1007/s40948-015-0016-9 doi:10.3390/geotechnics3020022 doi:10.1201/9780429246593 doi:10.2312/wsm.2020.001 doi:10.1016/j.tecto.2018.07.007 doi:10.5880/wsm.2016.001 doi:10.5194/se-6-533-2015 doi:10.1186/s40517-020-00178-5 doi:10.5194/se-5-1123-2014 doi:10.5194/se-5-1123-2014 doi:10.48440/wsm.2021.003 doi:10.5880/wsm.2021.003 url:https://github.com/louison-laruelle/douglas geomechanical-numerical model stress in-situ stress model calibration stress tensor calibration modelling tool outliers detection model accuracy EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Abstract Understanding the contemporary stress state in rock volumes is crucial for applications such as reservoir management, geothermal energy, and underground storage. Geomechanical-numerical modelling, which predicts the 3D stress state based on geological structures, density distributions, and elastic properties, requires calibration using stress magnitude data records acquired in-situ. However, these data records can include outliers—stress measurements significantly deviating from expected values due to errors or localized geological anomalies. These outliers can skew model calibrations, leading to inaccurate predictions of boundary conditions and stress magnitudes, particularly in sets with limited numbers of data records. A systematic approach to identifying and handling outliers is essential to mitigate inaccuracies. The Python-based script DOuGLAS (Detection of Outliers in Geomechanics using Linear-elastic Assumption and Statistics) was developed to address this challenge. The software is part of the FAST (Fast Automatic Stress Tensor) suite of programs. Its function is to identify outliers in sets of stress magnitude data records by assessing the respective impact of individual data records on boundary condition predictions, using iterative combinations of data records. Results are analysed through dimensionality reduction and statistical scoring, providing visual and quantitative tools for outlier detection. The script aids users in improving model reliability by identifying and addressing anomalous data. It supports sets of different numbers of stress magnitude data records and integrates seamlessly with tools such as Tecplot 360 EX and GeoStress. This manual provides a comprehensive guide for using DOuGLAS, interpreting its outputs, and understanding its application in geomechanical modeling. Laruelle, Louison Laruelle, Louison Software Software GNU General Public License Version 3 (29 June 2007); Copyright (C) 2025 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany https://www.gnu.org/licenses/gpl-3.0.html

oai:doidb.wdc-terra.org:81352025-05-18T18:20:00ZDOIDBDOIDB.WSM

World Stress Map 2025 Heidbach, Oliver Rajabi, Mojtaba Di Giacomo, Domenico Harris, James Lammers, Steffi Morawietz, Sophia Pierdominici, Simona Reiter, Karsten von Specht, Sebastian Storchak, Dmitry Ziegler, Moritz O. GFZ Data Services 2025 Created: 2025-04-17 http://dx.doi.org/10.5880/WSM.2025.002 doi:10.5880/WSM.2025.002 url:https://www.world-stress-map.org doi:10.48440/wsm.2025.001 doi:10.1016/j.tecto.2018.07.007 doi:10.1029/2007TC002133 doi:10.1016/j.tecto.2009.07.023 doi:10.1144/GSL.SP.2003.212.01.07 doi:10.1029/92JB00132 doi:10.5880/WSM.2025.001 crustal stress in situ stress tectonic stress crustal stress pattern EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > LITHOSPHERIC PLATE MOTION > PLATE MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING > DATA SEARCH AND RETRIEVAL geophysics tectonics Abstract 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 Helmholtz Centre for Geosciences. All stress information is analysed and compiled in a standardized format and quality-ranked for reliability and comparability on a global scale. The stress map displays A-C quality stress data records of the Earth’s crust from the WSM database release 2025 (doi:10.5880/WSM.2025.001). Further detailed information on the WSM quality ranking scheme 2025, guidelines for the borehole logging data, and software for stress map generation and the stress pattern analysis is available at www.world-stress-map.org. GFZ German Research Centre for Geosciences Heidbach, Oliver en Dataset Dataset CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ Global Map -180 180 -90 90

oai:doidb.wdc-terra.org:81342025-05-18T18:21:25ZDOIDBDOIDB.WSM

World Stress Map Database Release 2025 Heidbach, Oliver Rajabi, Mojtaba Di Giacomo, Domenico Harris, James Lammers, Steffi Morawietz, Sophia Pierdominici, Simona Reiter, Karsten von Specht, Sebastian Storchak, Dmitry Ziegler, Moritz O. 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stress tectonic stress crustal stress pattern EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > LITHOSPHERIC PLATE MOTION > PLATE MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING > DATA SEARCH AND RETRIEVAL geophysics tectonics Abstract 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 Helmholtz Centre for Geosciences. The WSM database release 2025 contains 100,842 data records within the Earth’s crust. The data are provided in two formats: Excel-file (wsm2025.xlsx) and comma separated fields (wsm2025.csv). Data records with reliable A-C quality are displayed in the World Stress Map (doi:10.5880/WSM.2025.002). Further detailed information on the WSM quality ranking scheme 2025, guidelines for the analysis of borehole logging data, and software for stress map generation and the stress pattern analysis is available at www.world-stress-map.org. The database structure and content is explained in the WSM Technical Report TR 25-01 (https://doi.org/10.48440/wsm.2025.001). GFZ Helmholtz Centre for Geosciences Heidbach, Oliver International Seismological Centre ISC Australasian Stress Map Project GEOFON Global CMT Catalogue European-Mediterranean Regional CMT Solutions Catalogue Techlimit DGMK NAGRA NECSA Sigma Geomechanics WSM Team Adams, J. Ágústsson, K. Alt, R. Al-Zoubi, A.S. Andreoli, M. Árnadóttir, S. Ask, D. Ask, M. Assumpcao, M. Babyyev, G. Balfour, N. Baptie, B. Barr, M. Barth, A. Batchelor, T. Becker, A. Bell, S. Bergerat, F. Bergman, E. Bluemling, P. Bohnhoff, M. Bonjer, K.-P. Bosworth, W. Bratli, R. Brereton, R. Brudy, M. Bungum, H. Chatterjee, R. Colmenares, L. Connolly, P. Cornet, F. Custodio, S. Deichmann, N. Delvaux, D. Denham, D. Desroches, J. Ding, J. Diehl, T. Di Giacomo, D. Doeveny, P. Enever, J. Feijerskov, M. Finkbeiner, T. Fleckenstein, P. Fuchs, K. Furen, X. Gay, N. Gerner, P. Giger, S.B. Gough, D.I. Gowd, T.N. Grasso, M. Gregersen, S. Grünthal, G. Gupta, H. Guzman, C. Gvishiani, A. Haimson, B. Hake, T. Hanssen, T.H. Harris, J. Hauk, C. Hergert, T. Hersir, G.P. Hickman, S. Hillis, R. Horvath, F. Hu, X. Jacob, K. Jarosinski, M. Jianmin, D. Jurado, M.J. King, R. Kingdon, A. Kjorholt, H. Klein, R. Knoll, P. Kropotkin, P. Kurfeß, D. Lammers, S. Larsen, R. Lindholm, C. Logue, A. López, A. Lund, B. Lundstern, J. Magee, M. Mariucci, M.T. Marschall, I. Mastin, M. Maury, V. Mercier, J. Mildren, S. Montone, P. Mularz-Pussak, M. Müller, B. Negut, M. Oncescu, M.C. Paquin, C. Pavoni, N. Pierdominici, S. Pondrelli, A. Ragg, S. Rajendran, K. Reinecker, J. Reiter, K. Rettelbach, N. Reynolds, S. Röckl, T. Roth, F. Rummel, F. Schmitt, D. Schoenball, M. Sebrier, M. Sherman, S. Sperner, B. Stephansson, O. Storchak, D. Stromeyer, D. Suarez, G. Suter, M. Tingay, M. Tolppanen, P. Townend, J. Tsereteli, N. Udias, A. van Dalfsen, W. van Eijs, R. van-Kin, L. Velagala, A. von Specht, S. Wenzel, F. Williams, J. Wiprut, D. Wolter, K. Xu, Z.H. Yunga, S. Zhonghuai, X. Zhizhin, M. Zoback, M. Zoback, M.-L. Heidbach, Oliver Dataset Dataset CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ Global Map -180 180 -90 90

oai:doidb.wdc-terra.org:81502025-06-10T09:54:47ZDOIDBDOIDB.WSM

Python Script DOuGLAS v1.0 Laruelle, Louison Ziegler, Moritz O. GFZ Data Services 2025 http://dx.doi.org/10.5880/wsm.2025.003 doi:10.5880/wsm.2025.003 doi:10.48440/wsm.2025.003 doi:10.5880/WSM.2025.001 doi:10.1177/1094428112470848 doi:10.1016/j.petrol.2006.01.003 doi:10.1007/s40948-015-0016-9 doi:10.3390/geotechnics3020022 doi:10.1201/9780429246593 doi:10.2312/wsm.2020.001 doi:10.1016/j.tecto.2018.07.007 doi:10.5880/wsm.2016.001 doi:10.5194/se-6-533-2015 doi:10.1186/s40517-020-00178-5 doi:10.5194/se-5-1123-2014 doi:10.5194/se-5-1123-2014 doi:10.48440/wsm.2021.003 doi:10.5880/wsm.2021.003 url:https://github.com/louison-laruelle/douglas geomechanical-numerical model stress in-situ stress model calibration stress tensor calibration modelling tool outliers detection model accuracy EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Abstract Understanding the contemporary stress state in rock volumes is crucial for applications such as reservoir management, geothermal energy, and underground storage. Geomechanical-numerical modelling, which predicts the 3D stress state based on geological structures, density distributions, and elastic properties, requires calibration using stress magnitude data records acquired in-situ. However, these data records can include outliers—stress measurements significantly deviating from expected values due to errors or localized geological anomalies. These outliers can skew model calibrations, leading to inaccurate predictions of boundary conditions and stress magnitudes, particularly in sets with limited numbers of data records. A systematic approach to identifying and handling outliers is essential to mitigate inaccuracies. The Python-based script DOuGLAS (Detection of Outliers in Geomechanics using Linear-elastic Assumption and Statistics) was developed to address this challenge. The software is part of the FAST (Fast Automatic Stress Tensor) suite of programs. Its function is to identify outliers in sets of stress magnitude data records by assessing the respective impact of individual data records on boundary condition predictions, using iterative combinations of data records. Results are analysed through dimensionality reduction and statistical scoring, providing visual and quantitative tools for outlier detection. The script aids users in improving model reliability by identifying and addressing anomalous data. It supports sets of different numbers of stress magnitude data records and integrates seamlessly with tools such as Tecplot 360 EX and GeoStress. This manual provides a comprehensive guide for using DOuGLAS, interpreting its outputs, and understanding its application in geomechanical modeling. Laruelle, Louison Laruelle, Louison Software Software GNU General Public License Version 3 (29 June 2007); Copyright (C) 2025 GFZ Helmholtz Centre for Geosciences, Potsdam, Germany https://www.gnu.org/licenses/gpl-3.0.html

oai:doidb.wdc-terra.org:66652026-01-29T10:02:47ZDOIDBDOIDB.WSM

Matlab script Stress2Grid v1.1 Ziegler, Moritz Heidbach, Oliver GFZ Data Services 2019 http://dx.doi.org/10.5880/wsm.2019.002 doi:10.5880/wsm.2019.002 doi:10.2312/wsm.2019.002 doi:10.5880/wsm.2016.001 doi:10.1029/95JB02160 doi:10.1016/j.cageo.2007.06.004 doi:10.1016/j.tecto.2009.07.023 doi:10.1144/GSL.SP.2003.209.01.11 doi:10.1016/j.tecto.2014.08.006 doi:10.5880/WSM.2017.002 Stress orientation data analysis tool for Matlab World Stress Map EARTH SCIENCE > SOLID EARTH > TECTONICS > NEOTECTONICS EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > PLATE BOUNDARIES EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Abstract The distribution of data records for the maximum horizontal stress orientation S_Hmax in the Earth’s crust is sparse and very unequally. To analyse the stress pattern and its wavelength and to predict the mean S_Hmax orientation on regular grids, statistical interpolation as conducted e.g. by Coblentz and Richardson (1995), Müller et al. (2003), Heidbach and Höhne (2008), Heidbach et al. (2010) or Reiter et al. (2014) is necessary. Based on their work we wrote the Matlab® script Stress2Grid that provides several features to analyse the mean S_Hmax pattern. The script facilitates and speeds up this analysis and extends the functionality compared to the publications mentioned before. This script is the update of Stress2Grid v1.0 (Ziegler and Heidbach, 2017). It provides two different concepts to calculate the mean S_Hmax orientation on regular grids. The first is using a fixed search radius around the grid points and computes the mean S_Hmax orientation if sufficient data records are within the search radius. The larger the search radius the larger is the filtered wavelength of the stress pattern. The second approach is using variable search radii and determines the search radius for which the standard deviation of the mean S_Hmax orientation is below a given threshold. This approach delivers mean S_Hmax orientations with a user-defined degree of reliability. It resolves local stress perturbations and is not available in areas with conflicting information that result in a large standard deviation. Furthermore, the script can also estimate the deviation between plate motion direction and the mean S_Hmax orientation. The script is fully documented by the accompanying WSM Technical Report 19/02 (Ziegler and Heidbach, 2019) which includes a changelog in the beginning. Ziegler, Moritz Heidbach, Oliver GFZ German Rersearch Centre for Geosciences Heidbach, Oliver Software Software GNU General Public License, Version 3, 29 June 2007 Copyright © 2017 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany https://www.gnu.org/licenses/gpl-3.0.en.html

oai:doidb.wdc-terra.org:86282026-02-04T12:50:34ZDOIDBDOIDB.WSM

Global datasets of the mean orientation of maximum horizontal stress S_Hmax on regular grids Heidbach, Oliver Rajabi, Mojtaba GFZ Data Services 2026 http://dx.doi.org/10.5880/wsm.2026.001 doi:10.5880/wsm.2026.001 doi:DOI of paper when available doi:10.5880/wsm.2019.002 doi:10.5880/WSM.2025.001 doi:10.2312/wsm.2019.002 doi:10.48440/wsm.2025.001 World Stress Map crustal stress in situ stress tectonic stress crustal stress pattern geophysics tectonics Science Keywords > EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > LITHOSPHERIC PLATE MOTION > PLATE MOTION DIRECTION Science Keywords > EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRESS Science Keywords > EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING > DATA ACCESS/RETRIEVAL Science Keywords > EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING > DATA SEARCH Abstract The World Stress Map (WSM) is the global compilation of information on the present-day stress field in the Earth's crust. The current WSM database release 2025 (Heidbach et al., 2025) has 100,842 data records, but the data are unevenly distributed and clustered. To analyse the wavelength of the crustal stress pattern of the orientation of maximum horizontal stress SHmax, we use so-called smoothed stress maps that show the mean SHmax orientation on regular grids. The mean SHmax orientation is estimated using the 77,365 A-C data records from the WSM database release 2025 in the Matlab® script stress2grid v.1.1 (Ziegler and Heidbach, 2019) which is based on the circular statistics of axial data. We use a search radius around the grid point and compute the mean SHmax orientation if at least five data records are within the search radius. The significance of the results is further improved by the weighting of the input data by three different parameters. 1.) Data quality weighting with wQ=1/15 for A-, wQ=1/20 for B-, and wQ = 1/25 for C-quality data. 2.) Inverse distance weighting relative to the grid point. This is based on the assumption that the closer a data record is to a grid point, the more strongly the stress state at the grid point influences that data record. Consequently, the contribution of an individual data record to the SHmax orientation increases with decreasing distance to the grid point. 3.) Minimum distance threshold: Data records located very close to a grid point would be overrepresented by the distance weight. To avoid this, a minimum distance threshold is applied such that all data records within 10% of the search radius are assigned the same weighting coefficient. Using a fixed search radius effectively filters from the SHmax data records the wavelength defined by the chosen search radius and does not resolve rotations of SHmax at smaller spatial scales. We provide 13 global datasets for SHmax calculated with search radii of 500 km, 250km, 100km, and 50 km. For the 500 km and 250 km search all four grids are used on 2°, 1°, 0.5°, and 0.2°. For the 100 km search radius the 1°, 0.5°, and 0.2° grids are used and for the 50 km search radius only the 0.5° and 0.2° grids are applied. Details on the format of the data files with the mean SHmax orientation are provided in the accompanying Readme file. Further details on the WSM database release 2025 are available in the WSM Technical Report 25-01 (Rajabi et al., 2025). Heidbach, Oliver Dataset Dataset CC BY 4.0 http://creativecommons.org/licenses/by/4.0/