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  • Contains descriptions of changes made to the Kaikoura Seismic Hazard Model fault source model. Supplement to: Gerstenberger MC, Rhoades DA, Litchfield NJ, Abbott ER, Goded T, Christophersen A, Van Dissen RJ, Bannister S, Barrell DJA, Bruce ZRV, et al. 2022. A time-dependent seismic hazard model following the Kaikōura M7.8 earthquake. New Zealand Journal of Geology and Geophysics. Cite as: Gerstenberger MC, Rhoades DA, Litchfield NJ, Abbott ER, Goded T, Christophersen A, Van Dissen RJ, Bannister S, Barrell DJA, Bruce ZRV, et al. 2022. Supplement 2: Descriptions and data sources for modified or newly added fault sources (in alphabetical order). https://doi.org/10.21420/VRYT-VT95.

  • PyLith is is portable, scalable software for simulation of crustal deformation across spatial scales ranging from meters to hundreds of kilometers and temporal scales ranging from milliseconds to thousands of years. Its primary applications are quasi-static and dynamic modeling of earthquake faulting. The code is under active development, and the current version is 2.2.2. DOI: https://doi.org/10.5281/zenodo.3269486 Cite as: Aagaard, B., M. Knepley, C. Williams (2017), PyLith v2.2.1, Computational Infrastructure for Geodynamics, doi: 10.5281/zenodo.886600, url: https://geodynamics.org/resources/pylith

  • This dataset contains the 1:1 000 000 geological units data for New Zealand. The dataset is a product of the Geological Map of New Zealand 1: 1 000 000 project and was produced by GNS Science. It represents the most current mapping of the geology of New Zealand in a single dataset at a scale of 1:1 000 000. The dataset is stored in an ESRI vector geodatabase and exported to ArcGIS Server. The dataset comprises polygons with each polygon having attributes describing the type of geological unit, its content, name and age. It complies with the GeoSciML Portrayal standard for GeologicUnitView. The outcrop surface (map horizon) on which the features are mapped is the Earth surface. The fields required by the GeoSciML Portrayal standard were populated using the CGI Controlled Vocabulary (2012-11). The dataset is available for purchase as feature classes in ESRI file geodatabase and shapefile GIS formats and freely consumable as a layer in Web Map Services and Web Feature Services from ArcGIS Server.

  • This dataset contains the lookup table that provides a mapping between plotSymbol to plotName and the RGB colour definitions used for display of the geological units. The dataset is a product of the Geological Map of New Zealand 1: 1 000 000 project and was produced by GNS Science.

  • This collection of datasets contains the 1:1 000 000 geological data for New Zealand. These datasets are a product of the Geological Map of New Zealand 1:1 000 000 project and were produced by GNS Science. They represents the most current mapping of the geology of New Zealand at a scale of 1:1 000 000. The datasets are stored in an ESRI vector geodatabase and exported to ArcGIS Server. The datasets comprises separate feature classes describing the geology. The mapping frame for the majority of datasets is defined as 'surface geology', but some are either 'base of overlying geology' or 'top of basement'. The data should not be used at scales beyond that for which it was prepared. The spatial accuracy is estimated to be no better than +/- 1000 m. The datasets are available for purchase as feature classes in ESRI file geodatabase and shapefile GIS formats and freely consumable as a layer in Web Map Services and Web Feature Services from ArcGIS Server. DOI: https://doi.org/10.21420/VRX8-CD71 Cite as: GNS Science. 2014. NZL GNS 1:1M geology. 2nd edition [Data set]. Lower Hutt (NZ): GNS Science. https://doi.org/10.21420/VRX8-CD71.

  • This dataset has been superseded by a new edition (2nd edition) available here: https://data.gns.cri.nz/metadata/srv/eng/catalog.search#/metadata/647B1A4A-5E23-4FEE-80D0-260C6A6F49EC. This dataset contains the bounding arcs to the 1:1 000 000 geological units data for New Zealand. The dataset is a product of the Geological Map of New Zealand 1: 1 000 000 project and was produced by GNS Science. It represents the most current mapping of the geology of New Zealand in a single dataset at a scale of 1:1 000 000. The dataset is stored in an ESRI vector geodatabase and exported to ArcGIS Server. The dataset comprises arcs with each arc having attributes describing the type of contact, its name, exposure and accuracy. It complies with the GeoSciML Portrayal standard for ContactView. The outcrop surface (map horizon) on which the features are mapped is the Earth surface. The fields required by the GeoSciML Portrayal standard were populated using the CGI Controlled Vocabulary (2012-11). The data should not be used at scales beyond that for which it was prepared. The spatial accuracy is estimated to be no better than +/- 1000 m. The dataset is available for purchase as feature classes in ESRI file geodatabase and shapefile GIS formats and freely consumable as a layer in Web Map Services and Web Feature Services from ArcGIS Server.

  • This dataset has been superseded by a new edition (2nd edition) available here: https://data.gns.cri.nz/metadata/srv/eng/catalog.search#/metadata/647B1A4A-5E23-4FEE-80D0-260C6A6F49EC. This dataset contains the bounding arcs to the 1:1 000 000 miscellaneous polygons data for New Zealand. These include water and ice contacts as well as other limits of mapping. The dataset is a product of the Geological Map of New Zealand 1: 1 000 000 project and was produced by GNS Science. The dataset is stored in an ESRI vector geodatabase and exported to ArcGIS Server. The dataset comprises arcs with each arc having attributes describing the type of contact, its name, exposure and accuracy. The data should not be used at scales beyond that for which it was prepared. The spatial accuracy is estimated to be no better than +/- 1000 m. The dataset is available for purchase as feature classes in ESRI file geodatabase and shapefile GIS formats and freely consumable as a layer in Web Map Services and Web Feature Services from ArcGIS Server.

  • This dataset has been superseded by a new edition (2nd edition) available here: https://data.gns.cri.nz/metadata/srv/eng/catalog.search#/metadata/647B1A4A-5E23-4FEE-80D0-260C6A6F49EC. This dataset contains the 1:1 000 000 geological units labels data for New Zealand. The dataset is a product of the Geological Map of New Zealand 1: 1 000 000 project and was produced by GNS Science. It represents the most current mapping of the geology of New Zealand in a single dataset at a scale of 1:1 000 000. The dataset is stored in an ESRI vector geodatabase and exported to ArcGIS Server. The dataset is available for purchase as feature classes in ESRI file geodatabase and shapefile GIS formats and freely consumable as a layer in Web Map Services and Web Feature Services from ArcGIS Server.

  • This dataset contains the 1:1 000 000 representation of the subduction front in offshore New Zealand. The dataset is a product of the QMAP Geological Map of New Zealand Project and was produced by GNS Science. The dataset is stored in an ESRI vector geodatabase and exported to ArcGIS Server. The data should not be used at scales beyond that for which it was prepared. The spatial accuracy is estimated to be no better than +/- 1000 m. The dataset is available for purchase as feature classes in ESRI file geodatabase and shapefile GIS formats and freely consumable as a layer in Web Map Services and Web Feature Services from ArcGIS Server.

  • This dataset contains the 1:1 000 000 geological units labels leader lines data for New Zealand. The dataset is a product of the Geological Map of New Zealand 1: 1 000 000 project and was produced by GNS Science. It represents the most current mapping of the geology of New Zealand in a single dataset at a scale of 1:1 000 000. The dataset is stored in an ESRI vector geodatabase and exported to ArcGIS Server. The dataset is available for purchase as feature classes in ESRI file geodatabase and shapefile GIS formats and freely consumable as a layer in Web Map Services and Web Feature Services from ArcGIS Server.