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  • 40 questions survey to describe the respondent's experience during an earthquake in New Zealand. This dataset is based on the previous "Felt Classic" with similar questions and new ones based on tsunami evacuation and information about earthquakes DOI: https://doi.org/10.21420/KYR8-J660 Cite as: GNS Science. (2016). "Felt Detailed" felt report dataset [Data set]. GNS Science. https://doi.org/10.21420/KYR8-J660

  • 38 questions survey to describe the respondent's experience during an earthquake in New Zealand. This dataset is based on paper questionnaires. This database was closed in 2016 and substituted by "Felt Detailed" database, currently ongoing DOI: https://doi.org/10.21420/C8AY-5173 Cite as: GNS Science. (2004). "Felt Classic" felt report dataset [Data set]. GNS Science. https://doi.org/10.21420/C8AY-5173

  • 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

  • Data in binary and Receiver Independent Exchange Format (RINEX) from the New Zealand continuous GNSS (Global Navigation Satellite System) network. Data accessible here: https://data.geonet.org.nz/gnss/event.highrate/. Data are available for the days surrounding major geologic events from 2013 to present. High rate GNSS data are manually retrieved, so there is no guarantee that data will be available after every event. Data are available as raw andRINEX files at 1 second and 0.1 second sampling rates. All events will have 1 second data available. 0.1 second data are available for significant earthquake events and for nearfield stations. Please refer to the GeoNet website for more details on available events: https://www.geonet.org.nz/data/supplementary/gnss_high_rate_data_access Information about the GeoNet Geodetic Network can be found here: https://www.geonet.org.nz/data/types/geodetic. Site metadata can be found within the delta repository https://github.com/GeoNet/delta and data tutorials can be found here: https://github.com/GeoNet/data-tutorials/tree/main/GNSS_Data. DOI: https://doi.org/10.21420/NQYC-EG34 Cite as: GNS Science. (2021). GeoNet Aotearoa New Zealand Continuous GNSS Network Event High Rate (Raw and RINEX files) [Data set]. GNS Science. https://doi.org/10.21420/NQYC-EG34 Data are from the GeoNet and PositioNZ (http://linz.govt.nz) GNSS networks, with contribution from Otago University (http://www.otago.ac.nz/surveying) and NIWA (https://www.niwa.co.nz/) GNSS stations.

  • 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

  • GeoNet collects information about the intensity of shaking that people experienced during an earthquake. There have been a few different varieties of reports in the history of collecting this data. Today, GeoNet collects Felt Rapid reports based on a cartoon representation of shaking. After very large earthquakes we provide an additional long form survey, Felt Detailed, for those who would like to provide more information. The Felt Rapid API can be found here: https://api.geonet.org.nz/intensity?type=reported and more information on the Felt Reports can be found here on the GeoNet website: https://www.geonet.org.nz/data/types/felt. DOI: https://doi.org/10.21420/RS7F-VE53 Cite as: GNS Science. (2015). GeoNet Aotearoa New Zealand Felt Rapid Dataset [Data set]. GNS Science. https://doi.org/10.21420/RS7F-VE53

  • The New Zealand National Seismograph, Acoustic and Coastal Tsunami Gauge Networks digital time-series (waveform) data are archived and publicly available. The time-series include both permanent and some temporary network deployments and are distributed using a number of standard formats and access options. The data comprise readings recorded by seismometers, tide gauges and microphones since the commencement in September 1986 of digital recording in New Zealand. 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/10.21420/4RAS-J272 Cite as: GNS Science. (2020). GeoNet Aotearoa New Zealand National Network Digital Waveform Collection: Seismic, Acoustic & Coastal sea level data. https://doi.org/10.21420/4RAS-J272

  • A moment tensor describes the source parameters of an earthquake such as the focal mechanism (the geometry of how the crust ruptured in the earthquake) and the seismic moment (the amount of energy released). Since August 2003 when sufficient broadband seismometers were deployed, GeoNet has been able to routinely compute moment tensor solutions for New Zealand earthquakes with M > ~4. The CSV file of moment tensor solutions is updated when a moment tensor solution is calculated. Moment Tensor Solutions can be found in Github here: https://github.com/GeoNet/data/tree/main/moment-tensor. DOI: 10.21420/MMJ9-CZ67 Cite as: GNS Science. (2006). GeoNet Aotearoa New Zealand Earthquake Moment Tensor solutions [Data set]. GNS Science, GeoNet. https://doi.org/10.21420/MMJ9-CZ67

  • Rupture models for a selection of large Aotearoa New Zealand earthquakes. Rupture models are compiled in a a common format. Models derived from both seismic and geodetic data are provided, where available. Rupture Models can be found within Github here: https://github.com/GeoNet/data/tree/main/rupture-models. DOI : https://doi.org/10.21420/396B-3Y58 Cite as: GNS Science (2019). GNS Science Aotearoa New Zealand Rupture Models Dataset [Dataset]. GNS Science, GeoNet. https://doi.org/10.21420/396B-3Y58 For specific models, please cite using the reference papers DOI.

  • The Shaking Layers tool produces maps of ground shaking minutes after an earthquake of magnitude 3.5 or above has occurred in New Zealand. These maps combine strong motion measurements recorded at seismic stations with ground motion modelling to estimate shaking intensity anywhere in the country. As more data and scientific information become available, Shaking Layers maps are updated and therefore can change over time (from minutes to days to months) following an earthquake. The maps provide information on macroseismic intensity, peak ground acceleration, peak ground velocity and spectral acceleration at several periods. Outputs include a dynamic map (GeoNet website) and several types of outputs on the Shaking Layers webpages, including static maps, json files and GIS layers. Read more about Shaking Layers maps (https://www.geonet.org.nz/about/earthquake/shakinglayers). Science is a collaborative effort. Shaking Layers is a GNS Science (https://www.gns.cri.nz/) product supported by GeoNet (https://www.geonet.org.nz/) and the Rapid Characterisation of Earthquakes and Tsunami (RCET) programme (https://www.gns.cri.nz/research-projects/rcet/). For data access: https://shakinglayers.geonet.org.nz/ For dynamic map access: https://www.geonet.org.nz/earthquake For data format: https://shakinglayers.geonet.org.nz/html/guidelines#input-data For Shaking Layers tool: Horspool, N., T. Goded, A. Kaiser, J. Andrews, J. Groom, D. Charlton, M. Chadwick and J. Houltham (2023). GeoNet’s Shaking Layer Tool: generation of near real-time ground shaking maps for post-event response Proceedings of the New Zealand Society of Earthquake Engineering Technical Conference 2023. Auckland (New Zealand), April 2023, Paper 91, 10 pp. DOI: https://doi.org/10.21420/J856-2J84 Cite as: GNS Science, Shaking Layers Dataset. https://doi.org/10.21420/J856-2J84