For the purpose of studying the impact of the 10 February 2021 South Matthew Island tsunami in the southwest Pacific Ocean, a set of three digital elevation models (DEM) of Norfolk Island, Australia, including a high-resolution focus on Sydney Bay (on the south coast of the island) has been built using three different types of data. They include: - The global dataset 15 arcsec resolution GEBCO (2020); - The global dataset 1 arcsec resolution SRTM (2013); - Norfolk Island LiDAR 0.57m DEM (Gallant and Petheram, 2020); - Digitized and georeferenced nautical chart of Norfolk Island (Australian Hydrographic Office, 2019) and related charts (Australian Hydrographic Office, 2009a, b, c, d). The data showing the highest resolution has been kept in priority. The compilation of data has been interpolated to a regular spatial resolution of 0.005° (~500 m) for the coarser grid, 0.0005° (~50 m) for the medium grid, and to 0.0001° (~10 m) for the grid over Sydney Bay. The data interpolation processes have done using the kriging method. For more information about this method, see for example Oliver and Webster (1990). DOI: https://doi.org/10.21420/H889-5393 Cite when using the DEMs: Roger, J. (2022). Digital Elevation Model of Norfolk Island and Sydney Bay, Australia. [Data set] GNS Science. Accessed on [insert date]. https://doi.org/10.21420/H889-5393.

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/).