The dataset is composed of the Eyrewell (EYR) geomagnetic vector field measurements with the highest resolution available for 2000 to 2017, a time period of interest for the research publications by Rodger et al. (2017), Smith et al. (2021), and Hartinger et al. (2023). The resolution varies between 20-second (20s), 5-second (5s), and 1-second (1s). The data are processed, except for the 2002 and 2003 data. A new data recording system was installed on 16 February 2005 and upgraded to a faster one on 26 February 2010. The observatory location changed by 6 km on 3 December 2013. Adjustments need to be applied to get a continuous record. The values for the difference between the old and new site are D = 2.73 arcmin, I = 0.58 arcmin, and F = 14.7 nT. Overview: 2000 20s resolution 2001 20s resolution 2002 5s resolution (raw data) 2003 5s resolution (raw data) 2004 20s resolution 2005 5s & 20s resolutions 2006 5s resolution 2007 5s resolution 2008 5s resolution 2009 5s resolution 2010 1s & 5s resolutions 2011-onwards 1s resolution The 1-second data since 14-Sep-2011 is available for download on INTERMAGNET. https://intermagnet.github.io/ The dataset was used to create a sub-dataset that contains only the horizontal magnitude of the EYR geomagnetic field measurements provided in units of nT at 5s resolution. The sub-dataset is available in a MATLAB format on Zenodo. EYR5sec10292003.mat. https://doi.org/10.5281/zenodo.7261515 Cite dataset as: GNS Science (2023). Eyrewell (EYR) best resolution data 2000 - 2017 [Dataset]. https://doi.org/10.21420/BVEZ-T482

New Zealand network of tsunameters in the southwest Pacific. Tsunameters, devices or systems that detect tsunamis, often use Deep-ocean Assessment and Reporting of Tsunami (DART) real-time monitoring systems. Information about the DART network can be found here: https://www.geonet.org.nz/tsunami/dart Sensor and instrument metadata can be found at https://github.com/GeoNet/delta/blob/main/network/sites.csv DART Raw and Detided data is available via the Tilde API (https://tilde.geonet.org.nz/v3/api-docs/), the Tilde UI (https://tilde.geonet.org.nz/ui/data-exploration#/) and for data-tutorials see (https://github.com/GeoNet/data-tutorials/tree/main/Tilde). The detided constituents are generated by NIWA and can be found here: https://github.com/GeoNet/delta/blob/main/environment/constituents.csv. DART BPR data. The BPR records are available in Tilde (using "Method=raw"). This also includes Temperature (water-temperature) and Pressure (water-pressure) data. DART Trigger Catalogue. A catalogue of all of the auto-triggers on the DART network can also be found here: https://github.com/GeoNet/data/tree/main/dart-triggers DOI for DART Dataset: https://doi.org/10.21420/8TCZ-TV02 DOI for DART Network: https://doi.org/10.1029/2020EO144274 Cite Dataset as: GNS Science (2020). NZ Deep-ocean Assessment and Reporting of Tsunami (DART) Data set [Data set]. GNS Science. https://doi.org/10.21420/8TCZ-TV02 [last accessed on -insert date-]. Cite Network as: Fry, B., S.-J. McCurrach, K. Gledhill, W. Power, M. Williams, M. Angove, D. Arcas, and C. Moore (2020), Sensor network warns of stealth tsunamis, Eos, 101, https://doi.org/10.1029/2020EO144274. Published on 26 May 2020. The DART Sensor Network has been made possible by funding from MBIE (https://www.mbie.govt.nz/) and MFAT (https://www.mfat.govt.nz/), and carried out in partnership between NEMA (https://www.civildefence.govt.nz), GNS Science (https://www.gns.cri.nz/) and NIWA (https://niwa.co.nz/), with support from SAIC (https://www.saic.com/).

GeoNet's Built-environment Instrumentation Programme covers the instrumentation of building structures throughout New Zealand. An array of sensors are deployed in and around residential and commercial buildings, hospitals, universities and bridges. This programme primarily aims to provide high quality data to a number of professionals including but not limited to engineers, seismologists, urban planners and seismic hazard and risk specialists. The GeoNet structural array dataset is a collection of recorded response data from 20 structural array sites. There is a continued effort to add more sites to sustain the growing needs of the strong motion community. This dataset supports earthquake engineering initiatives in improving the NZ seismic design code/standards and in the studies related to building performance, building fragility and vulnerability, and seismic risk estimation. Data are freely available, but there is a registration process for data requests. Full details are available from this link: https://www.geonet.org.nz/data/types/structural_arrays Instrument and site information are held in the GeoNet public metadata repository. This dataset is funded through https://www.geonet.org.nz/sponsors DOI: https://doi.org/10.21420/5M59-SM97 Cite as: GNS Science, 2007. GeoNet Structural Array Dataset. https://doi.org/10.21420/5M59-SM97

The GeoNet earthquake catalogue contains the technical information of all known seismological events. The dataset includes information about the events source parameters such as hypocenter, magnitude, arrival time of seismic phases as well as velocity model used and uncertainties in the parameters. Since the 1930's, earthquakes in the catalogue have been determined by instrumental records. Prior to that, estimates were made from oral and written records. At present, a densified network of weak motion and strong motion sensors is used nationally to monitor events in regions that are affected by large seismic activity and volcanism. Around 20000 events are recorded every year in the catalogue. GeoNet observations and earthquake source parameters are currently used for rapid response, risk assessment and research purposes. Overview of access tools: https://www.geonet.org.nz/data/types/eq_catalogue This dataset is funded through https://www.geonet.org.nz/sponsors DOI: https://doi.org/10.21420/0S8P-TZ38 Cite as: GNS Science. (1970). New Zealand Earthquake Catalogue [Data set]. GNS Science, GeoNet. https://doi.org/10.21420/0S8P-TZ38

A list of known seismological events compiled from oral and written history, and since the 1930s, from instrumental readings. DOI: https://doi.org/10.21420/tap4-5s59 Cite as: GNS Science. (2022). New Zealand Earthquake Catalogue for the revision of the 2022 National Seismic Hazard Model (NSHM) [Data set]. GNS Science. https://doi.org/10.21420/tap4-5s59