2018 Definitive 1-minute Apia (API) data is continuous 1-second data recorded by New Zealand's Geomagnetic Observatory Apia in 2018 that was processed at 1-minute sampling, cleaned (spikes removed) and baseline (absolute values) corrected. The data was submitted to INTERMAGNET in July 2019 and passed the INTERMAGNET reviewing process. DOI https://doi.org/10.21420/CNMJ-V311 Cite as: Petersen, T., GNS Science, Samoa Meteorology Division, & USGS. (2019). 2018 Definitive 1-minute Apia (API) data. GNS Science, INTERMAGNET. https://doi.org/10.21420/CNMJ-V311

The Rafter Radiocarbon Databases and Archive contain radiocarbon submission, treatment and measurement data spanning 70 years. The Rafter Radiocarbon Lab manages the digital databases, paper records and physical remains of submitted materials. All ~60,000 results reported by our laboratory since 1951 are digitised and available on request. Most gas counting results were reported prior to the implementation of the current radiocarbon reporting conventions and therefore we strongly recommend that users of our gas counting results contact us to obtain recalculated results that follow the current reporting conventions. For early samples, details of sample provenance and preparation are archived as paper records and access to these may incur a charge. AMS results can usually only be provided with permission of the original submitter. Full details are available digitally with permission. Contact radiocarbon@gns.cri.nz for data access.

We have developed a 2-D/3-D arbitrary lagrangian-eulerian (ALE) finite-element code, SULEC, based on known techniques from literature. SULEC is successful in tackling many of the problems faced by numerical models of lithosphere and mantle processes, such as the combination of viscous, elastic, and plastic rheologies, the presence of a free surface, the contrast in viscosity between lithosphere and the underlying asthenosphere, and the occurrence of large deformations including viscous flow and offset on shear zones. The aim of our presentation is (1) to describe SULEC, and (2) to present a set of analytical and numerical benchmarks that we use to continuously test our code. SULEC solves the incompressible momentum equation coupled with the energy equation. It uses a structured mesh that is built of quadrilateral or brick elements that can vary in size in all dimensions, allowing to achieve high resolutions where required. The elements are either linear in velocity with constant pressure, or quadratic in velocity with linear pressure. An accurate pressure field is obtained through an iterative penalty (Uzawa) formulation. Material properties are carried on tracer particles that are advected through the Eulerian mesh. Shear elasticity is implemented following the approach of Moresi et al. [J. Comp. Phys. 184, 2003], brittle materials deform following a Drucker-Prager criterion, and viscous flow is by temperature- and pressure-dependent power-law creep. DOI: https://doi.org/10.21420/8Z3S-ZZ03 Cite model as: GNS Science. (2012). SULEC geodynamic finite-element code. GNS Science. https://doi.org/10.21420/8Z3S-ZZ03

GeoNet Aotearoa/New Zealand automatically collected landslide data are archived and publicly available. The dataset is generated by GeoNet's Low Rate Data Collection Platform (LRDCP), consisting of a range of environmental sensors connected to an industry standard data logger. The interval between observations in the dataset is normally 10 minutes. The dataset includes the following observations: Soil properties (e.g. moisture and temperature) Rainfall Extension/contraction of cracks and fractures Ground tilt Weather observations (in development) The dataset can be accessed through the Tilde API (https://tilde.geonet.org.nz/), producing data in ASCII or JSON format. There is also a data visualization tool available here: https://tilde.geonet.org.nz/ui/data-exploration#/. Instrument and site information are held in the GeoNet public metadata repository (https://github.com/GeoNet/delta). This dataset is joint funded through HRM SSIF funding (HRM Climate-Induced Landslides) and through GeoNet (https://www.geonet.org.nz/sponsors). DOI: https://doi.org/10.21420/A0JV-6W73 Cite as: GNS Science. (2019). GeoNet Aotearoa New Zealand automatically collected landslide data [Data set]. GNS Science. doi:10.21420/A0JV-6W73.

2020 Definitive 1-minute Eyrewell (EYR) data is continuous 1-second data recorded by New Zealand's Geomagnetic Observatories EYR in 2020 that was processed at 1-minute sampling, cleaned (spikes removed) and baseline (absolute values) corrected. The data was submitted to INTERMAGNET in July 2021 and passed the INTERMAGNET reviewing process. DOI: https://doi.org/10.21420/F459-S796 Cite data as: Thornton, M., Plank, G., & Plank, J. (2021). 2020 Definitive 1-minute Eyrewell (EYR) data [Dataset]. GNS Science, INTERMAGNET. https://doi.org/10.21420/F459-S796

2019 Definitive 1-minute Apia (API) data is continuous 1-second data recorded by New Zealand's Geomagnetic Observatory Apia in 2019 that was processed at 1-minute sampling, cleaned (spikes removed) and baseline (absolute values) corrected. The data was submitted to INTERMAGNET in July 2020 and passed the INTERMAGNET reviewing process. DOI https://doi.org/10.21420/4FJ2-N230 Cite as: Petersen, T., GNS Science, Samoa Meteorology Division, & USGS. (2020). 2019 Definitive 1-minute Apia (API) data. GNS Science, INTERMAGNET. https://doi.org/10.21420/4FJ2-N230

2015 Definitive 1-minute Eyrewell (EYR) data is continuous 1-second data recorded by New Zealand's Geomagnetic Observatories EYR in 2015 that was processed at 1-minute sampling, cleaned (spikes removed) and baseline (absolute values) corrected. The data was submitted to INTERMAGNET in July 2016 and passed the INTERMAGNET reviewing process. DOI: https://doi.org/10.21420/WM2Y-ST48 Cite as: GNS Science, Petersen, T., & Plank, G. (2016). 2015 Definitive 1-minute Eyrewell (EYR) data [Data set]. INTERMAGNET. https://doi.org/10.21420/WM2Y-ST48

2015 Definitive 1-minute Apia (API) data is continuous 1-second data recorded by New Zealand's Geomagnetic Observatory Apia in 2015 that was processed at 1-minute sampling, cleaned (spikes removed) and baseline (absolute values) corrected. The data was submitted to INTERMAGNET in July 2016 and passed the INTERMAGNET reviewing process. DOI https://doi.org/10.21420/VDYN-6M33 Cite as: Petersen, T., GNS Science, Samoa Meteorology Division, & USGS. (2016). 2015 Definitive 1-minute Apia (API) data. GNS Science, INTERMAGNET. https://doi.org/10.21420/VDYN-6M33

Preliminary 1-second and 1-minute Scott Base (SBA) data are submitted to INTERMAGNET in a standardized file format (IAGA-2002) every hour. The data can be downloaded via a free web access provided by INTERMAGNET at http://www.intermagnet.org/data-donnee/download-eng.php (Data Type: ‘provisional’). 1-minute (Sample Rate: ‘minute’) ‘provisional’ SBA data are available since 1996. 1-second data (Sample Rate: ‘second’) ‘provisional’ SBA data are available since 2012. DOI: https://doi.org/10.21420/TTQ0-SR11 Cite data as: GNS Science. (2022). Preliminary 1-second and 1-minute data from Scott Base (SBA) [Data set]. INTERMAGNET. https://doi.org/10.21420/TTQ0-SR11

2016 Definitive 1-minute Apia (API) data is continuous 1-second data recorded by New Zealand's Geomagnetic Observatory Apia in 2016 that was processed at 1-minute sampling, cleaned (spikes removed) and baseline (absolute values) corrected. The data was submitted to INTERMAGNET in July 2017 and passed the INTERMAGNET reviewing process. DOI https://doi.org/10.21420/BWW7-PN94 Cite as: Petersen, T., GNS Science, Samoa Meteorology Division, & USGS. (2017). 2016 Definitive 1-minute Apia (API) data. GNS Science, INTERMAGNET. https://doi.org/10.21420/BWW7-PN94